{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "hundred-proposal",
   "metadata": {},
   "source": [
    "# **2 기술적 분석**\n",
    "Fundamental Analysis & Back Testing\n",
    "\n",
    "## **1 Candle Chart 그리기**\n",
    "기술적 지표 분석을 위한 데이터 수집 및 분석하기\n",
    "- plotly 를 활용하여 SMA, EMA 보조지표 그리기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "focal-vacuum",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "found : D2Coding\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "import warnings\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import fontManager as fm\n",
    "\n",
    "plt.style.use('seaborn') # 'seaborn-colorblind'\n",
    "plt.rc('axes', unicode_minus=False)\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "font_list_check  = ['D2Coding', 'NanumGothicCoding', 'NanumGothic']\n",
    "\n",
    "for font in font_list_check:\n",
    "    font_counts = [ f  for f in font_list_check \n",
    "        if font in [_.name for _ in fm.ttflist]]\n",
    "    if len(font_counts) > 1: \n",
    "        print(f\"found : {font}\"); break\n",
    "        \n",
    "plt.rc('font', family=font) # 폰트 적용하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "901ed591-e6eb-416c-8f5f-5353c33240ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-12-31</th>\n",
       "      <td>31.860001</td>\n",
       "      <td>32.320000</td>\n",
       "      <td>31.770000</td>\n",
       "      <td>32.049999</td>\n",
       "      <td>32.049999</td>\n",
       "      <td>11050600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>32.310001</td>\n",
       "      <td>32.500000</td>\n",
       "      <td>31.959999</td>\n",
       "      <td>32.299999</td>\n",
       "      <td>32.299999</td>\n",
       "      <td>10721100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>31.709999</td>\n",
       "      <td>32.099998</td>\n",
       "      <td>31.260000</td>\n",
       "      <td>31.520000</td>\n",
       "      <td>31.520000</td>\n",
       "      <td>14429500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close  Adj Close    Volume\n",
       "Date                                                                       \n",
       "2019-12-31  31.860001  32.320000  31.770000  32.049999  32.049999  11050600\n",
       "2020-01-02  32.310001  32.500000  31.959999  32.299999  32.299999  10721100\n",
       "2020-01-03  31.709999  32.099998  31.260000  31.520000  31.520000  14429500"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATA_FILENAME = 'data/stock-twitter.pkl'\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "try:\n",
    "    df_twiter = pd.read_pickle(DATA_FILENAME)\n",
    "except FileNotFoundError:\n",
    "    df_twiter = yf.download('TWTR', start='2020-01-01', end='2022-12-31', progress=False)\n",
    "    df_twiter.to_pickle(DATA_FILENAME)\n",
    "df_twiter.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "welcome-trout",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.2.0.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.2.0.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {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 v2.2.0\n",
       "* Copyright 2012-2021, Plotly, Inc.\n",
       "* All rights reserved.\n",
       "* Licensed under the MIT license\n",
       "*/\n",
       "!function(t){if(\"object\"==typeof exports&&\"undefined\"!=typeof module)module.exports=t();else if(\"function\"==typeof define&&define.amd)define([],t);else{(\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function i(o,s){if(!r[o]){if(!e[o]){var l=\"function\"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var c=new Error(\"Cannot find module '\"+o+\"'\");throw c.code=\"MODULE_NOT_FOUND\",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,(function(t){return i(e[o][1][t]||t)}),u,u.exports,t,e,r,n)}return r[o].exports}for(var a=\"function\"==typeof require&&require,o=0;o<n.length;o++)i(n[o]);return i}({1:[function(t,e,r){\"use strict\";var n=t(\"../src/lib\"),i={\"X,X div\":'direction:ltr;font-family:\"Open Sans\",verdana,arial,sans-serif;margin:0;padding:0;',\"X input,X button\":'font-family:\"Open Sans\",verdana,arial,sans-serif;',\"X input:focus,X button:focus\":\"outline:none;\",\"X a\":\"text-decoration:none;\",\"X a:hover\":\"text-decoration:none;\",\"X .crisp\":\"shape-rendering:crispEdges;\",\"X .user-select-none\":\"-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;\",\"X svg\":\"overflow:hidden;\",\"X svg a\":\"fill:#447adb;\",\"X svg a:hover\":\"fill:#3c6dc5;\",\"X .main-svg\":\"position:absolute;top:0;left:0;pointer-events:none;\",\"X .main-svg .draglayer\":\"pointer-events:all;\",\"X .cursor-default\":\"cursor:default;\",\"X .cursor-pointer\":\"cursor:pointer;\",\"X .cursor-crosshair\":\"cursor:crosshair;\",\"X .cursor-move\":\"cursor:move;\",\"X .cursor-col-resize\":\"cursor:col-resize;\",\"X .cursor-row-resize\":\"cursor:row-resize;\",\"X .cursor-ns-resize\":\"cursor:ns-resize;\",\"X .cursor-ew-resize\":\"cursor:ew-resize;\",\"X .cursor-sw-resize\":\"cursor:sw-resize;\",\"X .cursor-s-resize\":\"cursor:s-resize;\",\"X .cursor-se-resize\":\"cursor:se-resize;\",\"X .cursor-w-resize\":\"cursor:w-resize;\",\"X .cursor-e-resize\":\"cursor:e-resize;\",\"X .cursor-nw-resize\":\"cursor:nw-resize;\",\"X .cursor-n-resize\":\"cursor:n-resize;\",\"X .cursor-ne-resize\":\"cursor:ne-resize;\",\"X .cursor-grab\":\"cursor:-webkit-grab;cursor:grab;\",\"X .modebar\":\"position:absolute;top:2px;right:2px;\",\"X .ease-bg\":\"-webkit-transition:background-color .3s ease 0s;-moz-transition:background-color .3s ease 0s;-ms-transition:background-color .3s ease 0s;-o-transition:background-color .3s ease 0s;transition:background-color .3s ease 0s;\",\"X .modebar--hover>:not(.watermark)\":\"opacity:0;-webkit-transition:opacity .3s ease 0s;-moz-transition:opacity .3s ease 0s;-ms-transition:opacity .3s ease 0s;-o-transition:opacity .3s ease 0s;transition:opacity .3s ease 0s;\",\"X:hover .modebar--hover .modebar-group\":\"opacity:1;\",\"X .modebar-group\":\"float:left;display:inline-block;box-sizing:border-box;padding-left:8px;position:relative;vertical-align:middle;white-space:nowrap;\",\"X .modebar-btn\":\"position:relative;font-size:16px;padding:3px 4px;height:22px;cursor:pointer;line-height:normal;box-sizing:border-box;\",\"X .modebar-btn svg\":\"position:relative;top:2px;\",\"X .modebar.vertical\":\"display:flex;flex-direction:column;flex-wrap:wrap;align-content:flex-end;max-height:100%;\",\"X .modebar.vertical svg\":\"top:-1px;\",\"X .modebar.vertical .modebar-group\":\"display:block;float:none;padding-left:0px;padding-bottom:8px;\",\"X .modebar.vertical .modebar-group .modebar-btn\":\"display:block;text-align:center;\",\"X [data-title]:before,X [data-title]:after\":\"position:absolute;-webkit-transform:translate3d(0, 0, 0);-moz-transform:translate3d(0, 0, 0);-ms-transform:translate3d(0, 0, 0);-o-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);display:none;opacity:0;z-index:1001;pointer-events:none;top:110%;right:50%;\",\"X [data-title]:hover:before,X [data-title]:hover:after\":\"display:block;opacity:1;\",\"X [data-title]:before\":'content:\"\";position:absolute;background:transparent;border:6px solid transparent;z-index:1002;margin-top:-12px;border-bottom-color:#69738a;margin-right:-6px;',\"X [data-title]:after\":\"content:attr(data-title);background:#69738a;color:#fff;padding:8px 10px;font-size:12px;line-height:12px;white-space:nowrap;margin-right:-18px;border-radius:2px;\",\"X .vertical [data-title]:before,X .vertical [data-title]:after\":\"top:0%;right:200%;\",\"X .vertical [data-title]:before\":\"border:6px solid transparent;border-left-color:#69738a;margin-top:8px;margin-right:-30px;\",\"X .select-outline\":\"fill:none;stroke-width:1;shape-rendering:crispEdges;\",\"X .select-outline-1\":\"stroke:#fff;\",\"X .select-outline-2\":\"stroke:#000;stroke-dasharray:2px 2px;\",Y:'font-family:\"Open Sans\",verdana,arial,sans-serif;position:fixed;top:50px;right:20px;z-index:10000;font-size:10pt;max-width:180px;',\"Y p\":\"margin:0;\",\"Y .notifier-note\":\"min-width:180px;max-width:250px;border:1px solid #fff;z-index:3000;margin:0;background-color:#8c97af;background-color:rgba(140,151,175,.9);color:#fff;padding:10px;overflow-wrap:break-word;word-wrap:break-word;-ms-hyphens:auto;-webkit-hyphens:auto;hyphens:auto;\",\"Y .notifier-close\":\"color:#fff;opacity:.8;float:right;padding:0 5px;background:none;border:none;font-size:20px;font-weight:bold;line-height:20px;\",\"Y .notifier-close:hover\":\"color:#444;text-decoration:none;cursor:pointer;\"};for(var a in i){var o=a.replace(/^,/,\" ,\").replace(/X/g,\".js-plotly-plot .plotly\").replace(/Y/g,\".plotly-notifier\");n.addStyleRule(o,i[a])}},{\"../src/lib\":799}],2:[function(t,e,r){\"use strict\";e.exports=t(\"../src/transforms/aggregate\")},{\"../src/transforms/aggregate\":1395}],3:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/bar\")},{\"../src/traces/bar\":945}],4:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/barpolar\")},{\"../src/traces/barpolar\":958}],5:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/box\")},{\"../src/traces/box\":968}],6:[function(t,e,r){\"use strict\";e.exports=t(\"../src/components/calendars\")},{\"../src/components/calendars\":660}],7:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/candlestick\")},{\"../src/traces/candlestick\":977}],8:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/carpet\")},{\"../src/traces/carpet\":996}],9:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/choropleth\")},{\"../src/traces/choropleth\":1010}],10:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/choroplethmapbox\")},{\"../src/traces/choroplethmapbox\":1017}],11:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/cone\")},{\"../src/traces/cone\":1023}],12:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/contour\")},{\"../src/traces/contour\":1038}],13:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/contourcarpet\")},{\"../src/traces/contourcarpet\":1049}],14:[function(t,e,r){\"use strict\";e.exports=t(\"../src/core\")},{\"../src/core\":777}],15:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/densitymapbox\")},{\"../src/traces/densitymapbox\":1057}],16:[function(t,e,r){\"use strict\";e.exports=t(\"../src/transforms/filter\")},{\"../src/transforms/filter\":1396}],17:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/funnel\")},{\"../src/traces/funnel\":1067}],18:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/funnelarea\")},{\"../src/traces/funnelarea\":1076}],19:[function(t,e,r){\"use strict\";e.exports=t(\"../src/transforms/groupby\")},{\"../src/transforms/groupby\":1397}],20:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/heatmap\")},{\"../src/traces/heatmap\":1089}],21:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/heatmapgl\")},{\"../src/traces/heatmapgl\":1099}],22:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/histogram\")},{\"../src/traces/histogram\":1111}],23:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/histogram2d\")},{\"../src/traces/histogram2d\":1117}],24:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/histogram2dcontour\")},{\"../src/traces/histogram2dcontour\":1121}],25:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/icicle\")},{\"../src/traces/icicle\":1127}],26:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/image\")},{\"../src/traces/image\":1140}],27:[function(t,e,r){\"use strict\";var n=t(\"./core\");n.register([t(\"./bar\"),t(\"./box\"),t(\"./heatmap\"),t(\"./histogram\"),t(\"./histogram2d\"),t(\"./histogram2dcontour\"),t(\"./contour\"),t(\"./scatterternary\"),t(\"./violin\"),t(\"./funnel\"),t(\"./waterfall\"),t(\"./image\"),t(\"./pie\"),t(\"./sunburst\"),t(\"./treemap\"),t(\"./icicle\"),t(\"./funnelarea\"),t(\"./scatter3d\"),t(\"./surface\"),t(\"./isosurface\"),t(\"./volume\"),t(\"./mesh3d\"),t(\"./cone\"),t(\"./streamtube\"),t(\"./scattergeo\"),t(\"./choropleth\"),t(\"./scattergl\"),t(\"./splom\"),t(\"./pointcloud\"),t(\"./heatmapgl\"),t(\"./parcoords\"),t(\"./parcats\"),t(\"./scattermapbox\"),t(\"./choroplethmapbox\"),t(\"./densitymapbox\"),t(\"./sankey\"),t(\"./indicator\"),t(\"./table\"),t(\"./carpet\"),t(\"./scattercarpet\"),t(\"./contourcarpet\"),t(\"./ohlc\"),t(\"./candlestick\"),t(\"./scatterpolar\"),t(\"./scatterpolargl\"),t(\"./barpolar\"),t(\"./aggregate\"),t(\"./filter\"),t(\"./groupby\"),t(\"./sort\"),t(\"./calendars\")]),e.exports=n},{\"./aggregate\":2,\"./bar\":3,\"./barpolar\":4,\"./box\":5,\"./calendars\":6,\"./candlestick\":7,\"./carpet\":8,\"./choropleth\":9,\"./choroplethmapbox\":10,\"./cone\":11,\"./contour\":12,\"./contourcarpet\":13,\"./core\":14,\"./densitymapbox\":15,\"./filter\":16,\"./funnel\":17,\"./funnelarea\":18,\"./groupby\":19,\"./heatmap\":20,\"./heatmapgl\":21,\"./histogram\":22,\"./histogram2d\":23,\"./histogram2dcontour\":24,\"./icicle\":25,\"./image\":26,\"./indicator\":28,\"./isosurface\":29,\"./mesh3d\":30,\"./ohlc\":31,\"./parcats\":32,\"./parcoords\":33,\"./pie\":34,\"./pointcloud\":35,\"./sankey\":36,\"./scatter3d\":37,\"./scattercarpet\":38,\"./scattergeo\":39,\"./scattergl\":40,\"./scattermapbox\":41,\"./scatterpolar\":42,\"./scatterpolargl\":43,\"./scatterternary\":44,\"./sort\":45,\"./splom\":46,\"./streamtube\":47,\"./sunburst\":48,\"./surface\":49,\"./table\":50,\"./treemap\":51,\"./violin\":52,\"./volume\":53,\"./waterfall\":54}],28:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/indicator\")},{\"../src/traces/indicator\":1148}],29:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/isosurface\")},{\"../src/traces/isosurface\":1154}],30:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/mesh3d\")},{\"../src/traces/mesh3d\":1159}],31:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/ohlc\")},{\"../src/traces/ohlc\":1164}],32:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/parcats\")},{\"../src/traces/parcats\":1173}],33:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/parcoords\")},{\"../src/traces/parcoords\":1183}],34:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/pie\")},{\"../src/traces/pie\":1194}],35:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/pointcloud\")},{\"../src/traces/pointcloud\":1203}],36:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/sankey\")},{\"../src/traces/sankey\":1209}],37:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/scatter3d\")},{\"../src/traces/scatter3d\":1247}],38:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/scattercarpet\")},{\"../src/traces/scattercarpet\":1254}],39:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/scattergeo\")},{\"../src/traces/scattergeo\":1262}],40:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/scattergl\")},{\"../src/traces/scattergl\":1275}],41:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/scattermapbox\")},{\"../src/traces/scattermapbox\":1285}],42:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/scatterpolar\")},{\"../src/traces/scatterpolar\":1293}],43:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/scatterpolargl\")},{\"../src/traces/scatterpolargl\":1300}],44:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/scatterternary\")},{\"../src/traces/scatterternary\":1308}],45:[function(t,e,r){\"use strict\";e.exports=t(\"../src/transforms/sort\")},{\"../src/transforms/sort\":1399}],46:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/splom\")},{\"../src/traces/splom\":1317}],47:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/streamtube\")},{\"../src/traces/streamtube\":1325}],48:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/sunburst\")},{\"../src/traces/sunburst\":1333}],49:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/surface\")},{\"../src/traces/surface\":1342}],50:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/table\")},{\"../src/traces/table\":1350}],51:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/treemap\")},{\"../src/traces/treemap\":1361}],52:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/violin\")},{\"../src/traces/violin\":1374}],53:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/volume\")},{\"../src/traces/volume\":1382}],54:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/waterfall\")},{\"../src/traces/waterfall\":1390}],55:[function(t,e,r){\"use strict\";e.exports=function(t){var e=(t=t||{}).eye||[0,0,1],r=t.center||[0,0,0],s=t.up||[0,1,0],l=t.distanceLimits||[0,1/0],c=t.mode||\"turntable\",u=n(),f=i(),h=a();return u.setDistanceLimits(l[0],l[1]),u.lookAt(0,e,r,s),f.setDistanceLimits(l[0],l[1]),f.lookAt(0,e,r,s),h.setDistanceLimits(l[0],l[1]),h.lookAt(0,e,r,s),new o({turntable:u,orbit:f,matrix:h},c)};var n=t(\"turntable-camera-controller\"),i=t(\"orbit-camera-controller\"),a=t(\"matrix-camera-controller\");function o(t,e){this._controllerNames=Object.keys(t),this._controllerList=this._controllerNames.map((function(e){return t[e]})),this._mode=e,this._active=t[e],this._active||(this._mode=\"turntable\",this._active=t.turntable),this.modes=this._controllerNames,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}var s=o.prototype;[[\"flush\",1],[\"idle\",1],[\"lookAt\",4],[\"rotate\",4],[\"pan\",4],[\"translate\",4],[\"setMatrix\",2],[\"setDistanceLimits\",2],[\"setDistance\",2]].forEach((function(t){for(var e=t[0],r=[],n=0;n<t[1];++n)r.push(\"a\"+n);var i=\"var cc=this._controllerList;for(var i=0;i<cc.length;++i){cc[i].\"+t[0]+\"(\"+r.join()+\")}\";s[e]=Function.apply(null,r.concat(i))})),s.recalcMatrix=function(t){this._active.recalcMatrix(t)},s.getDistance=function(t){return this._active.getDistance(t)},s.getDistanceLimits=function(t){return this._active.getDistanceLimits(t)},s.lastT=function(){return this._active.lastT()},s.setMode=function(t){if(t!==this._mode){var e=this._controllerNames.indexOf(t);if(!(e<0)){var r=this._active,n=this._controllerList[e],i=Math.max(r.lastT(),n.lastT());r.recalcMatrix(i),n.setMatrix(i,r.computedMatrix),this._active=n,this._mode=t,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}}},s.getMode=function(){return this._mode}},{\"matrix-camera-controller\":464,\"orbit-camera-controller\":485,\"turntable-camera-controller\":599}],56:[function(t,e,r){!function(n,i){\"object\"==typeof r&&void 0!==e?i(r,t(\"d3-array\"),t(\"d3-collection\"),t(\"d3-shape\"),t(\"elementary-circuits-directed-graph\")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3,null)}(this,(function(t,e,r,n,i){\"use strict\";function a(t){return t.target.depth}function o(t,e){return t.sourceLinks.length?t.depth:e-1}function s(t){return function(){return t}}i=i&&i.hasOwnProperty(\"default\")?i.default:i;var l=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t};function c(t,e){return f(t.source,e.source)||t.index-e.index}function u(t,e){return f(t.target,e.target)||t.index-e.index}function f(t,e){return t.partOfCycle===e.partOfCycle?t.y0-e.y0:\"top\"===t.circularLinkType||\"bottom\"===e.circularLinkType?-1:1}function h(t){return t.value}function p(t){return(t.y0+t.y1)/2}function d(t){return p(t.source)}function m(t){return p(t.target)}function g(t){return t.index}function v(t){return t.nodes}function y(t){return t.links}function x(t,e){var r=t.get(e);if(!r)throw new Error(\"missing: \"+e);return r}function b(t,e){return e(t)}function _(t,e,r){var n=0;if(null===r){for(var a=[],o=0;o<t.links.length;o++){var s=t.links[o],l=s.source.index,c=s.target.index;a[l]||(a[l]=[]),a[c]||(a[c]=[]),-1===a[l].indexOf(c)&&a[l].push(c)}var u=i(a);u.sort((function(t,e){return t.length-e.length}));var f={};for(o=0;o<u.length;o++){var h=u[o].slice(-2);f[h[0]]||(f[h[0]]={}),f[h[0]][h[1]]=!0}t.links.forEach((function(t){var e=t.target.index,r=t.source.index;e===r||f[r]&&f[r][e]?(t.circular=!0,t.circularLinkID=n,n+=1):t.circular=!1}))}else t.links.forEach((function(t){t.source[r]<t.target[r]?t.circular=!1:(t.circular=!0,t.circularLinkID=n,n+=1)}))}function w(t,e){var r=0,n=0;t.links.forEach((function(i){i.circular&&(i.source.circularLinkType||i.target.circularLinkType?i.circularLinkType=i.source.circularLinkType?i.source.circularLinkType:i.target.circularLinkType:i.circularLinkType=r<n?\"top\":\"bottom\",\"top\"==i.circularLinkType?r+=1:n+=1,t.nodes.forEach((function(t){b(t,e)!=b(i.source,e)&&b(t,e)!=b(i.target,e)||(t.circularLinkType=i.circularLinkType)})))})),t.links.forEach((function(t){t.circular&&(t.source.circularLinkType==t.target.circularLinkType&&(t.circularLinkType=t.source.circularLinkType),H(t,e)&&(t.circularLinkType=t.source.circularLinkType))}))}function T(t){var e=Math.abs(t.y1-t.y0),r=Math.abs(t.target.x0-t.source.x1);return Math.atan(r/e)}function k(t,e){var r=0;t.sourceLinks.forEach((function(t){r=t.circular&&!H(t,e)?r+1:r}));var n=0;return t.targetLinks.forEach((function(t){n=t.circular&&!H(t,e)?n+1:n})),r+n}function M(t){var e=t.source.sourceLinks,r=0;e.forEach((function(t){r=t.circular?r+1:r}));var n=t.target.targetLinks,i=0;return n.forEach((function(t){i=t.circular?i+1:i})),!(r>1||i>1)}function A(t,e,r){return t.sort(E),t.forEach((function(n,i){var a,o,s=0;if(H(n,r)&&M(n))n.circularPathData.verticalBuffer=s+n.width/2;else{for(var l=0;l<i;l++)if(a=t[i],o=t[l],!(a.source.column<o.target.column||a.target.column>o.source.column)){var c=t[l].circularPathData.verticalBuffer+t[l].width/2+e;s=c>s?c:s}n.circularPathData.verticalBuffer=s+n.width/2}})),t}function S(t,r,i,a){var o=e.min(t.links,(function(t){return t.source.y0}));t.links.forEach((function(t){t.circular&&(t.circularPathData={})})),A(t.links.filter((function(t){return\"top\"==t.circularLinkType})),r,a),A(t.links.filter((function(t){return\"bottom\"==t.circularLinkType})),r,a),t.links.forEach((function(e){if(e.circular){if(e.circularPathData.arcRadius=e.width+10,e.circularPathData.leftNodeBuffer=5,e.circularPathData.rightNodeBuffer=5,e.circularPathData.sourceWidth=e.source.x1-e.source.x0,e.circularPathData.sourceX=e.source.x0+e.circularPathData.sourceWidth,e.circularPathData.targetX=e.target.x0,e.circularPathData.sourceY=e.y0,e.circularPathData.targetY=e.y1,H(e,a)&&M(e))e.circularPathData.leftSmallArcRadius=10+e.width/2,e.circularPathData.leftLargeArcRadius=10+e.width/2,e.circularPathData.rightSmallArcRadius=10+e.width/2,e.circularPathData.rightLargeArcRadius=10+e.width/2,\"bottom\"==e.circularLinkType?(e.circularPathData.verticalFullExtent=e.source.y1+25+e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.rightLargeArcRadius):(e.circularPathData.verticalFullExtent=e.source.y0-25-e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.rightLargeArcRadius);else{var s=e.source.column,l=e.circularLinkType,c=t.links.filter((function(t){return t.source.column==s&&t.circularLinkType==l}));\"bottom\"==e.circularLinkType?c.sort(C):c.sort(L);var u=0;c.forEach((function(t,n){t.circularLinkID==e.circularLinkID&&(e.circularPathData.leftSmallArcRadius=10+e.width/2+u,e.circularPathData.leftLargeArcRadius=10+e.width/2+n*r+u),u+=t.width})),s=e.target.column,c=t.links.filter((function(t){return t.target.column==s&&t.circularLinkType==l})),\"bottom\"==e.circularLinkType?c.sort(I):c.sort(P),u=0,c.forEach((function(t,n){t.circularLinkID==e.circularLinkID&&(e.circularPathData.rightSmallArcRadius=10+e.width/2+u,e.circularPathData.rightLargeArcRadius=10+e.width/2+n*r+u),u+=t.width})),\"bottom\"==e.circularLinkType?(e.circularPathData.verticalFullExtent=Math.max(i,e.source.y1,e.target.y1)+25+e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.rightLargeArcRadius):(e.circularPathData.verticalFullExtent=o-25-e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.rightLargeArcRadius)}e.circularPathData.leftInnerExtent=e.circularPathData.sourceX+e.circularPathData.leftNodeBuffer,e.circularPathData.rightInnerExtent=e.circularPathData.targetX-e.circularPathData.rightNodeBuffer,e.circularPathData.leftFullExtent=e.circularPathData.sourceX+e.circularPathData.leftLargeArcRadius+e.circularPathData.leftNodeBuffer,e.circularPathData.rightFullExtent=e.circularPathData.targetX-e.circularPathData.rightLargeArcRadius-e.circularPathData.rightNodeBuffer}if(e.circular)e.path=function(t){var e=\"\";e=\"top\"==t.circularLinkType?\"M\"+t.circularPathData.sourceX+\" \"+t.circularPathData.sourceY+\" L\"+t.circularPathData.leftInnerExtent+\" \"+t.circularPathData.sourceY+\" A\"+t.circularPathData.leftLargeArcRadius+\" \"+t.circularPathData.leftSmallArcRadius+\" 0 0 0 \"+t.circularPathData.leftFullExtent+\" \"+(t.circularPathData.sourceY-t.circularPathData.leftSmallArcRadius)+\" L\"+t.circularPathData.leftFullExtent+\" \"+t.circularPathData.verticalLeftInnerExtent+\" A\"+t.circularPathData.leftLargeArcRadius+\" \"+t.circularPathData.leftLargeArcRadius+\" 0 0 0 \"+t.circularPathData.leftInnerExtent+\" \"+t.circularPathData.verticalFullExtent+\" L\"+t.circularPathData.rightInnerExtent+\" \"+t.circularPathData.verticalFullExtent+\" A\"+t.circularPathData.rightLargeArcRadius+\" \"+t.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+t.circularPathData.rightFullExtent+\" \"+t.circularPathData.verticalRightInnerExtent+\" L\"+t.circularPathData.rightFullExtent+\" \"+(t.circularPathData.targetY-t.circularPathData.rightSmallArcRadius)+\" A\"+t.circularPathData.rightLargeArcRadius+\" \"+t.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+t.circularPathData.rightInnerExtent+\" \"+t.circularPathData.targetY+\" L\"+t.circularPathData.targetX+\" \"+t.circularPathData.targetY:\"M\"+t.circularPathData.sourceX+\" \"+t.circularPathData.sourceY+\" L\"+t.circularPathData.leftInnerExtent+\" \"+t.circularPathData.sourceY+\" A\"+t.circularPathData.leftLargeArcRadius+\" \"+t.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+t.circularPathData.leftFullExtent+\" \"+(t.circularPathData.sourceY+t.circularPathData.leftSmallArcRadius)+\" L\"+t.circularPathData.leftFullExtent+\" \"+t.circularPathData.verticalLeftInnerExtent+\" A\"+t.circularPathData.leftLargeArcRadius+\" \"+t.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+t.circularPathData.leftInnerExtent+\" \"+t.circularPathData.verticalFullExtent+\" L\"+t.circularPathData.rightInnerExtent+\" \"+t.circularPathData.verticalFullExtent+\" A\"+t.circularPathData.rightLargeArcRadius+\" \"+t.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+t.circularPathData.rightFullExtent+\" \"+t.circularPathData.verticalRightInnerExtent+\" L\"+t.circularPathData.rightFullExtent+\" \"+(t.circularPathData.targetY+t.circularPathData.rightSmallArcRadius)+\" A\"+t.circularPathData.rightLargeArcRadius+\" \"+t.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+t.circularPathData.rightInnerExtent+\" \"+t.circularPathData.targetY+\" L\"+t.circularPathData.targetX+\" \"+t.circularPathData.targetY;return e}(e);else{var f=n.linkHorizontal().source((function(t){return[t.source.x0+(t.source.x1-t.source.x0),t.y0]})).target((function(t){return[t.target.x0,t.y1]}));e.path=f(e)}}))}function E(t,e){return O(t)==O(e)?\"bottom\"==t.circularLinkType?C(t,e):L(t,e):O(e)-O(t)}function L(t,e){return t.y0-e.y0}function C(t,e){return e.y0-t.y0}function P(t,e){return t.y1-e.y1}function I(t,e){return e.y1-t.y1}function O(t){return t.target.column-t.source.column}function z(t){return t.target.x0-t.source.x1}function D(t,e){var r=T(t),n=z(e)/Math.tan(r);return\"up\"==q(t)?t.y1+n:t.y1-n}function R(t,e){var r=T(t),n=z(e)/Math.tan(r);return\"up\"==q(t)?t.y1-n:t.y1+n}function F(t,e,r,n){t.links.forEach((function(i){if(!i.circular&&i.target.column-i.source.column>1){var a=i.source.column+1,o=i.target.column-1,s=1,l=o-a+1;for(s=1;a<=o;a++,s++)t.nodes.forEach((function(o){if(o.column==a){var c,u=s/(l+1),f=Math.pow(1-u,3),h=3*u*Math.pow(1-u,2),p=3*Math.pow(u,2)*(1-u),d=Math.pow(u,3),m=f*i.y0+h*i.y0+p*i.y1+d*i.y1,g=m-i.width/2,v=m+i.width/2;g>o.y0&&g<o.y1?(c=o.y1-g+10,c=\"bottom\"==o.circularLinkType?c:-c,o=N(o,c,e,r),t.nodes.forEach((function(t){b(t,n)!=b(o,n)&&t.column==o.column&&B(o,t)&&N(t,c,e,r)}))):(v>o.y0&&v<o.y1||g<o.y0&&v>o.y1)&&(c=v-o.y0+10,o=N(o,c,e,r),t.nodes.forEach((function(t){b(t,n)!=b(o,n)&&t.column==o.column&&t.y0<o.y1&&t.y1>o.y1&&N(t,c,e,r)})))}}))}}))}function B(t,e){return t.y0>e.y0&&t.y0<e.y1||(t.y1>e.y0&&t.y1<e.y1||t.y0<e.y0&&t.y1>e.y1)}function N(t,e,r,n){return t.y0+e>=r&&t.y1+e<=n&&(t.y0=t.y0+e,t.y1=t.y1+e,t.targetLinks.forEach((function(t){t.y1=t.y1+e})),t.sourceLinks.forEach((function(t){t.y0=t.y0+e}))),t}function j(t,e,r,n){t.nodes.forEach((function(i){n&&i.y+(i.y1-i.y0)>e&&(i.y=i.y-(i.y+(i.y1-i.y0)-e));var a=t.links.filter((function(t){return b(t.source,r)==b(i,r)})),o=a.length;o>1&&a.sort((function(t,e){if(!t.circular&&!e.circular){if(t.target.column==e.target.column)return t.y1-e.y1;if(!V(t,e))return t.y1-e.y1;if(t.target.column>e.target.column){var r=R(e,t);return t.y1-r}if(e.target.column>t.target.column)return R(t,e)-e.y1}return t.circular&&!e.circular?\"top\"==t.circularLinkType?-1:1:e.circular&&!t.circular?\"top\"==e.circularLinkType?1:-1:t.circular&&e.circular?t.circularLinkType===e.circularLinkType&&\"top\"==t.circularLinkType?t.target.column===e.target.column?t.target.y1-e.target.y1:e.target.column-t.target.column:t.circularLinkType===e.circularLinkType&&\"bottom\"==t.circularLinkType?t.target.column===e.target.column?e.target.y1-t.target.y1:t.target.column-e.target.column:\"top\"==t.circularLinkType?-1:1:void 0}));var s=i.y0;a.forEach((function(t){t.y0=s+t.width/2,s+=t.width})),a.forEach((function(t,e){if(\"bottom\"==t.circularLinkType){for(var r=e+1,n=0;r<o;r++)n+=a[r].width;t.y0=i.y1-n-t.width/2}}))}))}function U(t,e,r){t.nodes.forEach((function(e){var n=t.links.filter((function(t){return b(t.target,r)==b(e,r)})),i=n.length;i>1&&n.sort((function(t,e){if(!t.circular&&!e.circular){if(t.source.column==e.source.column)return t.y0-e.y0;if(!V(t,e))return t.y0-e.y0;if(e.source.column<t.source.column){var r=D(e,t);return t.y0-r}if(t.source.column<e.source.column)return D(t,e)-e.y0}return t.circular&&!e.circular?\"top\"==t.circularLinkType?-1:1:e.circular&&!t.circular?\"top\"==e.circularLinkType?1:-1:t.circular&&e.circular?t.circularLinkType===e.circularLinkType&&\"top\"==t.circularLinkType?t.source.column===e.source.column?t.source.y1-e.source.y1:t.source.column-e.source.column:t.circularLinkType===e.circularLinkType&&\"bottom\"==t.circularLinkType?t.source.column===e.source.column?t.source.y1-e.source.y1:e.source.column-t.source.column:\"top\"==t.circularLinkType?-1:1:void 0}));var a=e.y0;n.forEach((function(t){t.y1=a+t.width/2,a+=t.width})),n.forEach((function(t,r){if(\"bottom\"==t.circularLinkType){for(var a=r+1,o=0;a<i;a++)o+=n[a].width;t.y1=e.y1-o-t.width/2}}))}))}function V(t,e){return q(t)==q(e)}function q(t){return t.y0-t.y1>0?\"up\":\"down\"}function H(t,e){return b(t.source,e)==b(t.target,e)}function G(t,r,n){var i=t.nodes,a=t.links,o=!1,s=!1;if(a.forEach((function(t){\"top\"==t.circularLinkType?o=!0:\"bottom\"==t.circularLinkType&&(s=!0)})),0==o||0==s){var l=e.min(i,(function(t){return t.y0})),c=(n-r)/(e.max(i,(function(t){return t.y1}))-l);i.forEach((function(t){var e=(t.y1-t.y0)*c;t.y0=(t.y0-l)*c,t.y1=t.y0+e})),a.forEach((function(t){t.y0=(t.y0-l)*c,t.y1=(t.y1-l)*c,t.width=t.width*c}))}}t.sankeyCircular=function(){var t,n,i=0,a=0,b=1,T=1,M=24,A=g,E=o,L=v,C=y,P=32,I=2,O=null;function z(){var t={nodes:L.apply(null,arguments),links:C.apply(null,arguments)};D(t),_(t,A,O),R(t),B(t),w(t,A),N(t,P,A),V(t);for(var e=4,r=0;r<e;r++)j(t,T,A),U(t,T,A),F(t,a,T,A),j(t,T,A),U(t,T,A);return G(t,a,T),S(t,I,T,A),t}function D(t){t.nodes.forEach((function(t,e){t.index=e,t.sourceLinks=[],t.targetLinks=[]}));var e=r.map(t.nodes,A);return t.links.forEach((function(t,r){t.index=r;var n=t.source,i=t.target;\"object\"!==(void 0===n?\"undefined\":l(n))&&(n=t.source=x(e,n)),\"object\"!==(void 0===i?\"undefined\":l(i))&&(i=t.target=x(e,i)),n.sourceLinks.push(t),i.targetLinks.push(t)})),t}function R(t){t.nodes.forEach((function(t){t.partOfCycle=!1,t.value=Math.max(e.sum(t.sourceLinks,h),e.sum(t.targetLinks,h)),t.sourceLinks.forEach((function(e){e.circular&&(t.partOfCycle=!0,t.circularLinkType=e.circularLinkType)})),t.targetLinks.forEach((function(e){e.circular&&(t.partOfCycle=!0,t.circularLinkType=e.circularLinkType)}))}))}function B(t){var e,r,n;for(e=t.nodes,r=[],n=0;e.length;++n,e=r,r=[])e.forEach((function(t){t.depth=n,t.sourceLinks.forEach((function(t){r.indexOf(t.target)<0&&!t.circular&&r.push(t.target)}))}));for(e=t.nodes,r=[],n=0;e.length;++n,e=r,r=[])e.forEach((function(t){t.height=n,t.targetLinks.forEach((function(t){r.indexOf(t.source)<0&&!t.circular&&r.push(t.source)}))}));t.nodes.forEach((function(t){t.column=Math.floor(E.call(null,t,n))}))}function N(o,s,l){var c=r.nest().key((function(t){return t.column})).sortKeys(e.ascending).entries(o.nodes).map((function(t){return t.values}));!function(r){if(n){var s=1/0;c.forEach((function(t){var e=T*n/(t.length+1);s=e<s?e:s})),t=s}var l=e.min(c,(function(r){return(T-a-(r.length-1)*t)/e.sum(r,h)}));l*=.3,o.links.forEach((function(t){t.width=t.value*l}));var u=function(t){var r=0,n=0,i=0,a=0,o=e.max(t.nodes,(function(t){return t.column}));return t.links.forEach((function(t){t.circular&&(\"top\"==t.circularLinkType?r+=t.width:n+=t.width,0==t.target.column&&(a+=t.width),t.source.column==o&&(i+=t.width))})),{top:r=r>0?r+25+10:r,bottom:n=n>0?n+25+10:n,left:a=a>0?a+25+10:a,right:i=i>0?i+25+10:i}}(o),f=function(t,r){var n=e.max(t.nodes,(function(t){return t.column})),o=b-i,s=T-a,l=o/(o+r.right+r.left),c=s/(s+r.top+r.bottom);return i=i*l+r.left,b=0==r.right?b:b*l,a=a*c+r.top,T*=c,t.nodes.forEach((function(t){t.x0=i+t.column*((b-i-M)/n),t.x1=t.x0+M})),c}(o,u);l*=f,o.links.forEach((function(t){t.width=t.value*l})),c.forEach((function(t){var e=t.length;t.forEach((function(t,n){t.depth==c.length-1&&1==e||0==t.depth&&1==e?(t.y0=T/2-t.value*l,t.y1=t.y0+t.value*l):t.partOfCycle?0==k(t,r)?(t.y0=T/2+n,t.y1=t.y0+t.value*l):\"top\"==t.circularLinkType?(t.y0=a+n,t.y1=t.y0+t.value*l):(t.y0=T-t.value*l-n,t.y1=t.y0+t.value*l):0==u.top||0==u.bottom?(t.y0=(T-a)/e*n,t.y1=t.y0+t.value*l):(t.y0=(T-a)/2-e/2+n,t.y1=t.y0+t.value*l)}))}))}(l),y();for(var u=1,g=s;g>0;--g)v(u*=.99,l),y();function v(t,r){var n=c.length;c.forEach((function(i){var a=i.length,o=i[0].depth;i.forEach((function(i){var s;if(i.sourceLinks.length||i.targetLinks.length)if(i.partOfCycle&&k(i,r)>0);else if(0==o&&1==a)s=i.y1-i.y0,i.y0=T/2-s/2,i.y1=T/2+s/2;else if(o==n-1&&1==a)s=i.y1-i.y0,i.y0=T/2-s/2,i.y1=T/2+s/2;else{var l=e.mean(i.sourceLinks,m),c=e.mean(i.targetLinks,d),u=((l&&c?(l+c)/2:l||c)-p(i))*t;i.y0+=u,i.y1+=u}}))}))}function y(){c.forEach((function(e){var r,n,i,o=a,s=e.length;for(e.sort(f),i=0;i<s;++i)(n=o-(r=e[i]).y0)>0&&(r.y0+=n,r.y1+=n),o=r.y1+t;if((n=o-t-T)>0)for(o=r.y0-=n,r.y1-=n,i=s-2;i>=0;--i)(n=(r=e[i]).y1+t-o)>0&&(r.y0-=n,r.y1-=n),o=r.y0}))}}function V(t){t.nodes.forEach((function(t){t.sourceLinks.sort(u),t.targetLinks.sort(c)})),t.nodes.forEach((function(t){var e=t.y0,r=e,n=t.y1,i=n;t.sourceLinks.forEach((function(t){t.circular?(t.y0=n-t.width/2,n-=t.width):(t.y0=e+t.width/2,e+=t.width)})),t.targetLinks.forEach((function(t){t.circular?(t.y1=i-t.width/2,i-=t.width):(t.y1=r+t.width/2,r+=t.width)}))}))}return z.nodeId=function(t){return arguments.length?(A=\"function\"==typeof t?t:s(t),z):A},z.nodeAlign=function(t){return arguments.length?(E=\"function\"==typeof t?t:s(t),z):E},z.nodeWidth=function(t){return arguments.length?(M=+t,z):M},z.nodePadding=function(e){return arguments.length?(t=+e,z):t},z.nodes=function(t){return arguments.length?(L=\"function\"==typeof t?t:s(t),z):L},z.links=function(t){return arguments.length?(C=\"function\"==typeof t?t:s(t),z):C},z.size=function(t){return arguments.length?(i=a=0,b=+t[0],T=+t[1],z):[b-i,T-a]},z.extent=function(t){return arguments.length?(i=+t[0][0],b=+t[1][0],a=+t[0][1],T=+t[1][1],z):[[i,a],[b,T]]},z.iterations=function(t){return arguments.length?(P=+t,z):P},z.circularLinkGap=function(t){return arguments.length?(I=+t,z):I},z.nodePaddingRatio=function(t){return arguments.length?(n=+t,z):n},z.sortNodes=function(t){return arguments.length?(O=t,z):O},z.update=function(t){return w(t,A),V(t),t.links.forEach((function(t){t.circular&&(t.circularLinkType=t.y0+t.y1<T?\"top\":\"bottom\",t.source.circularLinkType=t.circularLinkType,t.target.circularLinkType=t.circularLinkType)})),j(t,T,A,!1),U(t,T,A),S(t,I,T,A),t},z},t.sankeyCenter=function(t){return t.targetLinks.length?t.depth:t.sourceLinks.length?e.min(t.sourceLinks,a)-1:0},t.sankeyLeft=function(t){return t.depth},t.sankeyRight=function(t,e){return e-1-t.height},t.sankeyJustify=o,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{\"d3-array\":162,\"d3-collection\":163,\"d3-shape\":171,\"elementary-circuits-directed-graph\":184}],57:[function(t,e,r){!function(n,i){\"object\"==typeof r&&void 0!==e?i(r,t(\"d3-array\"),t(\"d3-collection\"),t(\"d3-shape\")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3)}(this,(function(t,e,r,n){\"use strict\";function i(t){return t.target.depth}function a(t,e){return t.sourceLinks.length?t.depth:e-1}function o(t){return function(){return t}}function s(t,e){return c(t.source,e.source)||t.index-e.index}function l(t,e){return c(t.target,e.target)||t.index-e.index}function c(t,e){return t.y0-e.y0}function u(t){return t.value}function f(t){return(t.y0+t.y1)/2}function h(t){return f(t.source)*t.value}function p(t){return f(t.target)*t.value}function d(t){return t.index}function m(t){return t.nodes}function g(t){return t.links}function v(t,e){var r=t.get(e);if(!r)throw new Error(\"missing: \"+e);return r}function y(t){return[t.source.x1,t.y0]}function x(t){return[t.target.x0,t.y1]}t.sankey=function(){var t=0,n=0,i=1,y=1,x=24,b=8,_=d,w=a,T=m,k=g,M=32;function A(){var t={nodes:T.apply(null,arguments),links:k.apply(null,arguments)};return S(t),E(t),L(t),C(t),P(t),t}function S(t){t.nodes.forEach((function(t,e){t.index=e,t.sourceLinks=[],t.targetLinks=[]}));var e=r.map(t.nodes,_);t.links.forEach((function(t,r){t.index=r;var n=t.source,i=t.target;\"object\"!=typeof n&&(n=t.source=v(e,n)),\"object\"!=typeof i&&(i=t.target=v(e,i)),n.sourceLinks.push(t),i.targetLinks.push(t)}))}function E(t){t.nodes.forEach((function(t){t.value=Math.max(e.sum(t.sourceLinks,u),e.sum(t.targetLinks,u))}))}function L(e){var r,n,a;for(r=e.nodes,n=[],a=0;r.length;++a,r=n,n=[])r.forEach((function(t){t.depth=a,t.sourceLinks.forEach((function(t){n.indexOf(t.target)<0&&n.push(t.target)}))}));for(r=e.nodes,n=[],a=0;r.length;++a,r=n,n=[])r.forEach((function(t){t.height=a,t.targetLinks.forEach((function(t){n.indexOf(t.source)<0&&n.push(t.source)}))}));var o=(i-t-x)/(a-1);e.nodes.forEach((function(e){e.x1=(e.x0=t+Math.max(0,Math.min(a-1,Math.floor(w.call(null,e,a))))*o)+x}))}function C(t){var i=r.nest().key((function(t){return t.x0})).sortKeys(e.ascending).entries(t.nodes).map((function(t){return t.values}));!function(){var r=e.max(i,(function(t){return t.length})),a=2/3*(y-n)/(r-1);b>a&&(b=a);var o=e.min(i,(function(t){return(y-n-(t.length-1)*b)/e.sum(t,u)}));i.forEach((function(t){t.forEach((function(t,e){t.y1=(t.y0=e)+t.value*o}))})),t.links.forEach((function(t){t.width=t.value*o}))}(),d();for(var a=1,o=M;o>0;--o)l(a*=.99),d(),s(a),d();function s(t){i.forEach((function(r){r.forEach((function(r){if(r.targetLinks.length){var n=(e.sum(r.targetLinks,h)/e.sum(r.targetLinks,u)-f(r))*t;r.y0+=n,r.y1+=n}}))}))}function l(t){i.slice().reverse().forEach((function(r){r.forEach((function(r){if(r.sourceLinks.length){var n=(e.sum(r.sourceLinks,p)/e.sum(r.sourceLinks,u)-f(r))*t;r.y0+=n,r.y1+=n}}))}))}function d(){i.forEach((function(t){var e,r,i,a=n,o=t.length;for(t.sort(c),i=0;i<o;++i)(r=a-(e=t[i]).y0)>0&&(e.y0+=r,e.y1+=r),a=e.y1+b;if((r=a-b-y)>0)for(a=e.y0-=r,e.y1-=r,i=o-2;i>=0;--i)(r=(e=t[i]).y1+b-a)>0&&(e.y0-=r,e.y1-=r),a=e.y0}))}}function P(t){t.nodes.forEach((function(t){t.sourceLinks.sort(l),t.targetLinks.sort(s)})),t.nodes.forEach((function(t){var e=t.y0,r=e;t.sourceLinks.forEach((function(t){t.y0=e+t.width/2,e+=t.width})),t.targetLinks.forEach((function(t){t.y1=r+t.width/2,r+=t.width}))}))}return A.update=function(t){return P(t),t},A.nodeId=function(t){return arguments.length?(_=\"function\"==typeof t?t:o(t),A):_},A.nodeAlign=function(t){return arguments.length?(w=\"function\"==typeof t?t:o(t),A):w},A.nodeWidth=function(t){return arguments.length?(x=+t,A):x},A.nodePadding=function(t){return arguments.length?(b=+t,A):b},A.nodes=function(t){return arguments.length?(T=\"function\"==typeof t?t:o(t),A):T},A.links=function(t){return arguments.length?(k=\"function\"==typeof t?t:o(t),A):k},A.size=function(e){return arguments.length?(t=n=0,i=+e[0],y=+e[1],A):[i-t,y-n]},A.extent=function(e){return arguments.length?(t=+e[0][0],i=+e[1][0],n=+e[0][1],y=+e[1][1],A):[[t,n],[i,y]]},A.iterations=function(t){return arguments.length?(M=+t,A):M},A},t.sankeyCenter=function(t){return t.targetLinks.length?t.depth:t.sourceLinks.length?e.min(t.sourceLinks,i)-1:0},t.sankeyLeft=function(t){return t.depth},t.sankeyRight=function(t,e){return e-1-t.height},t.sankeyJustify=a,t.sankeyLinkHorizontal=function(){return n.linkHorizontal().source(y).target(x)},Object.defineProperty(t,\"__esModule\",{value:!0})}))},{\"d3-array\":162,\"d3-collection\":163,\"d3-shape\":171}],58:[function(t,e,r){(function(){var t={version:\"3.6.1\"},r=[].slice,n=function(t){return r.call(t)},i=this.document;function a(t){return t&&(t.ownerDocument||t.document||t).documentElement}function o(t){return t&&(t.ownerDocument&&t.ownerDocument.defaultView||t.document&&t||t.defaultView)}if(i)try{n(i.documentElement.childNodes)[0].nodeType}catch(t){n=function(t){for(var e=t.length,r=new Array(e);e--;)r[e]=t[e];return r}}if(Date.now||(Date.now=function(){return+new Date}),i)try{i.createElement(\"DIV\").style.setProperty(\"opacity\",0,\"\")}catch(t){var s=this.Element.prototype,l=s.setAttribute,c=s.setAttributeNS,u=this.CSSStyleDeclaration.prototype,f=u.setProperty;s.setAttribute=function(t,e){l.call(this,t,e+\"\")},s.setAttributeNS=function(t,e,r){c.call(this,t,e,r+\"\")},u.setProperty=function(t,e,r){f.call(this,t,e+\"\",r)}}function h(t,e){return t<e?-1:t>e?1:t>=e?0:NaN}function p(t){return null===t?NaN:+t}function d(t){return!isNaN(t)}function m(t){return{left:function(e,r,n,i){for(arguments.length<3&&(n=0),arguments.length<4&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)<0?n=a+1:i=a}return n},right:function(e,r,n,i){for(arguments.length<3&&(n=0),arguments.length<4&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)>0?i=a:n=a+1}return n}}}t.ascending=h,t.descending=function(t,e){return e<t?-1:e>t?1:e>=t?0:NaN},t.min=function(t,e){var r,n,i=-1,a=t.length;if(1===arguments.length){for(;++i<a;)if(null!=(n=t[i])&&n>=n){r=n;break}for(;++i<a;)null!=(n=t[i])&&r>n&&(r=n)}else{for(;++i<a;)if(null!=(n=e.call(t,t[i],i))&&n>=n){r=n;break}for(;++i<a;)null!=(n=e.call(t,t[i],i))&&r>n&&(r=n)}return r},t.max=function(t,e){var r,n,i=-1,a=t.length;if(1===arguments.length){for(;++i<a;)if(null!=(n=t[i])&&n>=n){r=n;break}for(;++i<a;)null!=(n=t[i])&&n>r&&(r=n)}else{for(;++i<a;)if(null!=(n=e.call(t,t[i],i))&&n>=n){r=n;break}for(;++i<a;)null!=(n=e.call(t,t[i],i))&&n>r&&(r=n)}return r},t.extent=function(t,e){var r,n,i,a=-1,o=t.length;if(1===arguments.length){for(;++a<o;)if(null!=(n=t[a])&&n>=n){r=i=n;break}for(;++a<o;)null!=(n=t[a])&&(r>n&&(r=n),i<n&&(i=n))}else{for(;++a<o;)if(null!=(n=e.call(t,t[a],a))&&n>=n){r=i=n;break}for(;++a<o;)null!=(n=e.call(t,t[a],a))&&(r>n&&(r=n),i<n&&(i=n))}return[r,i]},t.sum=function(t,e){var r,n=0,i=t.length,a=-1;if(1===arguments.length)for(;++a<i;)d(r=+t[a])&&(n+=r);else for(;++a<i;)d(r=+e.call(t,t[a],a))&&(n+=r);return n},t.mean=function(t,e){var r,n=0,i=t.length,a=-1,o=i;if(1===arguments.length)for(;++a<i;)d(r=p(t[a]))?n+=r:--o;else for(;++a<i;)d(r=p(e.call(t,t[a],a)))?n+=r:--o;if(o)return n/o},t.quantile=function(t,e){var r=(t.length-1)*e+1,n=Math.floor(r),i=+t[n-1],a=r-n;return a?i+a*(t[n]-i):i},t.median=function(e,r){var n,i=[],a=e.length,o=-1;if(1===arguments.length)for(;++o<a;)d(n=p(e[o]))&&i.push(n);else for(;++o<a;)d(n=p(r.call(e,e[o],o)))&&i.push(n);if(i.length)return t.quantile(i.sort(h),.5)},t.variance=function(t,e){var r,n,i=t.length,a=0,o=0,s=-1,l=0;if(1===arguments.length)for(;++s<i;)d(r=p(t[s]))&&(o+=(n=r-a)*(r-(a+=n/++l)));else for(;++s<i;)d(r=p(e.call(t,t[s],s)))&&(o+=(n=r-a)*(r-(a+=n/++l)));if(l>1)return o/(l-1)},t.deviation=function(){var e=t.variance.apply(this,arguments);return e?Math.sqrt(e):e};var g=m(h);function v(t){return t.length}t.bisectLeft=g.left,t.bisect=t.bisectRight=g.right,t.bisector=function(t){return m(1===t.length?function(e,r){return h(t(e),r)}:t)},t.shuffle=function(t,e,r){(a=arguments.length)<3&&(r=t.length,a<2&&(e=0));for(var n,i,a=r-e;a;)i=Math.random()*a--|0,n=t[a+e],t[a+e]=t[i+e],t[i+e]=n;return t},t.permute=function(t,e){for(var r=e.length,n=new Array(r);r--;)n[r]=t[e[r]];return n},t.pairs=function(t){for(var e=0,r=t.length-1,n=t[0],i=new Array(r<0?0:r);e<r;)i[e]=[n,n=t[++e]];return i},t.transpose=function(e){if(!(a=e.length))return[];for(var r=-1,n=t.min(e,v),i=new Array(n);++r<n;)for(var a,o=-1,s=i[r]=new Array(a);++o<a;)s[o]=e[o][r];return i},t.zip=function(){return t.transpose(arguments)},t.keys=function(t){var e=[];for(var r in t)e.push(r);return e},t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.entries=function(t){var e=[];for(var r in t)e.push({key:r,value:t[r]});return e},t.merge=function(t){for(var e,r,n,i=t.length,a=-1,o=0;++a<i;)o+=t[a].length;for(r=new Array(o);--i>=0;)for(e=(n=t[i]).length;--e>=0;)r[--o]=n[e];return r};var y=Math.abs;function x(t){for(var e=1;t*e%1;)e*=10;return e}function b(t,e){for(var r in e)Object.defineProperty(t.prototype,r,{value:e[r],enumerable:!1})}function _(){this._=Object.create(null)}t.range=function(t,e,r){if(arguments.length<3&&(r=1,arguments.length<2&&(e=t,t=0)),(e-t)/r==1/0)throw new Error(\"infinite range\");var n,i=[],a=x(y(r)),o=-1;if(t*=a,e*=a,(r*=a)<0)for(;(n=t+r*++o)>e;)i.push(n/a);else for(;(n=t+r*++o)<e;)i.push(n/a);return i},t.map=function(t,e){var r=new _;if(t instanceof _)t.forEach((function(t,e){r.set(t,e)}));else if(Array.isArray(t)){var n,i=-1,a=t.length;if(1===arguments.length)for(;++i<a;)r.set(i,t[i]);else for(;++i<a;)r.set(e.call(t,n=t[i],i),n)}else for(var o in t)r.set(o,t[o]);return r};function w(t){return\"__proto__\"==(t+=\"\")||\"\\0\"===t[0]?\"\\0\"+t:t}function T(t){return\"\\0\"===(t+=\"\")[0]?t.slice(1):t}function k(t){return w(t)in this._}function M(t){return(t=w(t))in this._&&delete this._[t]}function A(){var t=[];for(var e in this._)t.push(T(e));return t}function S(){var t=0;for(var e in this._)++t;return t}function E(){for(var t in this._)return!1;return!0}function L(){this._=Object.create(null)}function C(t){return t}function P(t,e,r){return function(){var n=r.apply(e,arguments);return n===e?t:n}}function I(t,e){if(e in t)return e;e=e.charAt(0).toUpperCase()+e.slice(1);for(var r=0,n=O.length;r<n;++r){var i=O[r]+e;if(i in t)return i}}b(_,{has:k,get:function(t){return this._[w(t)]},set:function(t,e){return this._[w(t)]=e},remove:M,keys:A,values:function(){var t=[];for(var e in this._)t.push(this._[e]);return t},entries:function(){var t=[];for(var e in this._)t.push({key:T(e),value:this._[e]});return t},size:S,empty:E,forEach:function(t){for(var e in this._)t.call(this,T(e),this._[e])}}),t.nest=function(){var e,r,n={},i=[],a=[];function o(t,a,s){if(s>=i.length)return r?r.call(n,a):e?a.sort(e):a;for(var l,c,u,f,h=-1,p=a.length,d=i[s++],m=new _;++h<p;)(f=m.get(l=d(c=a[h])))?f.push(c):m.set(l,[c]);return t?(c=t(),u=function(e,r){c.set(e,o(t,r,s))}):(c={},u=function(e,r){c[e]=o(t,r,s)}),m.forEach(u),c}return n.map=function(t,e){return o(e,t,0)},n.entries=function(e){return function t(e,r){if(r>=i.length)return e;var n=[],o=a[r++];return e.forEach((function(e,i){n.push({key:e,values:t(i,r)})})),o?n.sort((function(t,e){return o(t.key,e.key)})):n}(o(t.map,e,0),0)},n.key=function(t){return i.push(t),n},n.sortKeys=function(t){return a[i.length-1]=t,n},n.sortValues=function(t){return e=t,n},n.rollup=function(t){return r=t,n},n},t.set=function(t){var e=new L;if(t)for(var r=0,n=t.length;r<n;++r)e.add(t[r]);return e},b(L,{has:k,add:function(t){return this._[w(t+=\"\")]=!0,t},remove:M,values:A,size:S,empty:E,forEach:function(t){for(var e in this._)t.call(this,T(e))}}),t.behavior={},t.rebind=function(t,e){for(var r,n=1,i=arguments.length;++n<i;)t[r=arguments[n]]=P(t,e,e[r]);return t};var O=[\"webkit\",\"ms\",\"moz\",\"Moz\",\"o\",\"O\"];function z(){}function D(){}function R(t){var e=[],r=new _;function n(){for(var r,n=e,i=-1,a=n.length;++i<a;)(r=n[i].on)&&r.apply(this,arguments);return t}return n.on=function(n,i){var a,o=r.get(n);return arguments.length<2?o&&o.on:(o&&(o.on=null,e=e.slice(0,a=e.indexOf(o)).concat(e.slice(a+1)),r.remove(n)),i&&e.push(r.set(n,{on:i})),t)},n}function F(){t.event.preventDefault()}function B(){for(var e,r=t.event;e=r.sourceEvent;)r=e;return r}function N(e){for(var r=new D,n=0,i=arguments.length;++n<i;)r[arguments[n]]=R(r);return r.of=function(n,i){return function(a){try{var o=a.sourceEvent=t.event;a.target=e,t.event=a,r[a.type].apply(n,i)}finally{t.event=o}}},r}t.dispatch=function(){for(var t=new D,e=-1,r=arguments.length;++e<r;)t[arguments[e]]=R(t);return t},D.prototype.on=function(t,e){var r=t.indexOf(\".\"),n=\"\";if(r>=0&&(n=t.slice(r+1),t=t.slice(0,r)),t)return arguments.length<2?this[t].on(n):this[t].on(n,e);if(2===arguments.length){if(null==e)for(t in this)this.hasOwnProperty(t)&&this[t].on(n,null);return this}},t.event=null,t.requote=function(t){return t.replace(j,\"\\\\$&\")};var j=/[\\\\\\^\\$\\*\\+\\?\\|\\[\\]\\(\\)\\.\\{\\}]/g,U={}.__proto__?function(t,e){t.__proto__=e}:function(t,e){for(var r in e)t[r]=e[r]};function V(t){return U(t,Y),t}var q=function(t,e){return e.querySelector(t)},H=function(t,e){return e.querySelectorAll(t)},G=function(t,e){var r=t.matches||t[I(t,\"matchesSelector\")];return(G=function(t,e){return r.call(t,e)})(t,e)};\"function\"==typeof Sizzle&&(q=function(t,e){return Sizzle(t,e)[0]||null},H=Sizzle,G=Sizzle.matchesSelector),t.selection=function(){return t.select(i.documentElement)};var Y=t.selection.prototype=[];function W(t){return\"function\"==typeof t?t:function(){return q(t,this)}}function X(t){return\"function\"==typeof t?t:function(){return H(t,this)}}Y.select=function(t){var e,r,n,i,a=[];t=W(t);for(var o=-1,s=this.length;++o<s;){a.push(e=[]),e.parentNode=(n=this[o]).parentNode;for(var l=-1,c=n.length;++l<c;)(i=n[l])?(e.push(r=t.call(i,i.__data__,l,o)),r&&\"__data__\"in i&&(r.__data__=i.__data__)):e.push(null)}return V(a)},Y.selectAll=function(t){var e,r,i=[];t=X(t);for(var a=-1,o=this.length;++a<o;)for(var s=this[a],l=-1,c=s.length;++l<c;)(r=s[l])&&(i.push(e=n(t.call(r,r.__data__,l,a))),e.parentNode=r);return V(i)};var Z=\"http://www.w3.org/1999/xhtml\",J={svg:\"http://www.w3.org/2000/svg\",xhtml:Z,xlink:\"http://www.w3.org/1999/xlink\",xml:\"http://www.w3.org/XML/1998/namespace\",xmlns:\"http://www.w3.org/2000/xmlns/\"};function K(e,r){return e=t.ns.qualify(e),null==r?e.local?function(){this.removeAttributeNS(e.space,e.local)}:function(){this.removeAttribute(e)}:\"function\"==typeof r?e.local?function(){var t=r.apply(this,arguments);null==t?this.removeAttributeNS(e.space,e.local):this.setAttributeNS(e.space,e.local,t)}:function(){var t=r.apply(this,arguments);null==t?this.removeAttribute(e):this.setAttribute(e,t)}:e.local?function(){this.setAttributeNS(e.space,e.local,r)}:function(){this.setAttribute(e,r)}}function Q(t){return t.trim().replace(/\\s+/g,\" \")}function $(e){return new RegExp(\"(?:^|\\\\s+)\"+t.requote(e)+\"(?:\\\\s+|$)\",\"g\")}function tt(t){return(t+\"\").trim().split(/^|\\s+/)}function et(t,e){var r=(t=tt(t).map(rt)).length;return\"function\"==typeof e?function(){for(var n=-1,i=e.apply(this,arguments);++n<r;)t[n](this,i)}:function(){for(var n=-1;++n<r;)t[n](this,e)}}function rt(t){var e=$(t);return function(r,n){if(i=r.classList)return n?i.add(t):i.remove(t);var i=r.getAttribute(\"class\")||\"\";n?(e.lastIndex=0,e.test(i)||r.setAttribute(\"class\",Q(i+\" \"+t))):r.setAttribute(\"class\",Q(i.replace(e,\" \")))}}function nt(t,e,r){return null==e?function(){this.style.removeProperty(t)}:\"function\"==typeof e?function(){var n=e.apply(this,arguments);null==n?this.style.removeProperty(t):this.style.setProperty(t,n,r)}:function(){this.style.setProperty(t,e,r)}}function it(t,e){return null==e?function(){delete this[t]}:\"function\"==typeof e?function(){var r=e.apply(this,arguments);null==r?delete this[t]:this[t]=r}:function(){this[t]=e}}function at(e){return\"function\"==typeof e?e:(e=t.ns.qualify(e)).local?function(){return this.ownerDocument.createElementNS(e.space,e.local)}:function(){var t=this.ownerDocument,r=this.namespaceURI;return r===Z&&t.documentElement.namespaceURI===Z?t.createElement(e):t.createElementNS(r,e)}}function ot(){var t=this.parentNode;t&&t.removeChild(this)}function st(t){return{__data__:t}}function lt(t){return function(){return G(this,t)}}function ct(t){return arguments.length||(t=h),function(e,r){return e&&r?t(e.__data__,r.__data__):!e-!r}}function ut(t,e){for(var r=0,n=t.length;r<n;r++)for(var i,a=t[r],o=0,s=a.length;o<s;o++)(i=a[o])&&e(i,o,r);return t}function ft(t){return U(t,ht),t}t.ns={prefix:J,qualify:function(t){var e=t.indexOf(\":\"),r=t;return e>=0&&\"xmlns\"!==(r=t.slice(0,e))&&(t=t.slice(e+1)),J.hasOwnProperty(r)?{space:J[r],local:t}:t}},Y.attr=function(e,r){if(arguments.length<2){if(\"string\"==typeof e){var n=this.node();return(e=t.ns.qualify(e)).local?n.getAttributeNS(e.space,e.local):n.getAttribute(e)}for(r in e)this.each(K(r,e[r]));return this}return this.each(K(e,r))},Y.classed=function(t,e){if(arguments.length<2){if(\"string\"==typeof t){var r=this.node(),n=(t=tt(t)).length,i=-1;if(e=r.classList){for(;++i<n;)if(!e.contains(t[i]))return!1}else for(e=r.getAttribute(\"class\");++i<n;)if(!$(t[i]).test(e))return!1;return!0}for(e in t)this.each(et(e,t[e]));return this}return this.each(et(t,e))},Y.style=function(t,e,r){var n=arguments.length;if(n<3){if(\"string\"!=typeof t){for(r in n<2&&(e=\"\"),t)this.each(nt(r,t[r],e));return this}if(n<2){var i=this.node();return o(i).getComputedStyle(i,null).getPropertyValue(t)}r=\"\"}return this.each(nt(t,e,r))},Y.property=function(t,e){if(arguments.length<2){if(\"string\"==typeof t)return this.node()[t];for(e in t)this.each(it(e,t[e]));return this}return this.each(it(t,e))},Y.text=function(t){return arguments.length?this.each(\"function\"==typeof t?function(){var e=t.apply(this,arguments);this.textContent=null==e?\"\":e}:null==t?function(){this.textContent=\"\"}:function(){this.textContent=t}):this.node().textContent},Y.html=function(t){return arguments.length?this.each(\"function\"==typeof t?function(){var e=t.apply(this,arguments);this.innerHTML=null==e?\"\":e}:null==t?function(){this.innerHTML=\"\"}:function(){this.innerHTML=t}):this.node().innerHTML},Y.append=function(t){return t=at(t),this.select((function(){return this.appendChild(t.apply(this,arguments))}))},Y.insert=function(t,e){return t=at(t),e=W(e),this.select((function(){return this.insertBefore(t.apply(this,arguments),e.apply(this,arguments)||null)}))},Y.remove=function(){return this.each(ot)},Y.data=function(t,e){var r,n,i=-1,a=this.length;if(!arguments.length){for(t=new Array(a=(r=this[0]).length);++i<a;)(n=r[i])&&(t[i]=n.__data__);return t}function o(t,r){var n,i,a,o=t.length,u=r.length,f=Math.min(o,u),h=new Array(u),p=new Array(u),d=new Array(o);if(e){var m,g=new _,v=new Array(o);for(n=-1;++n<o;)(i=t[n])&&(g.has(m=e.call(i,i.__data__,n))?d[n]=i:g.set(m,i),v[n]=m);for(n=-1;++n<u;)(i=g.get(m=e.call(r,a=r[n],n)))?!0!==i&&(h[n]=i,i.__data__=a):p[n]=st(a),g.set(m,!0);for(n=-1;++n<o;)n in v&&!0!==g.get(v[n])&&(d[n]=t[n])}else{for(n=-1;++n<f;)i=t[n],a=r[n],i?(i.__data__=a,h[n]=i):p[n]=st(a);for(;n<u;++n)p[n]=st(r[n]);for(;n<o;++n)d[n]=t[n]}p.update=h,p.parentNode=h.parentNode=d.parentNode=t.parentNode,s.push(p),l.push(h),c.push(d)}var s=ft([]),l=V([]),c=V([]);if(\"function\"==typeof t)for(;++i<a;)o(r=this[i],t.call(r,r.parentNode.__data__,i));else for(;++i<a;)o(r=this[i],t);return l.enter=function(){return s},l.exit=function(){return c},l},Y.datum=function(t){return arguments.length?this.property(\"__data__\",t):this.property(\"__data__\")},Y.filter=function(t){var e,r,n,i=[];\"function\"!=typeof t&&(t=lt(t));for(var a=0,o=this.length;a<o;a++){i.push(e=[]),e.parentNode=(r=this[a]).parentNode;for(var s=0,l=r.length;s<l;s++)(n=r[s])&&t.call(n,n.__data__,s,a)&&e.push(n)}return V(i)},Y.order=function(){for(var t=-1,e=this.length;++t<e;)for(var r,n=this[t],i=n.length-1,a=n[i];--i>=0;)(r=n[i])&&(a&&a!==r.nextSibling&&a.parentNode.insertBefore(r,a),a=r);return this},Y.sort=function(t){t=ct.apply(this,arguments);for(var e=-1,r=this.length;++e<r;)this[e].sort(t);return this.order()},Y.each=function(t){return ut(this,(function(e,r,n){t.call(e,e.__data__,r,n)}))},Y.call=function(t){var e=n(arguments);return t.apply(e[0]=this,e),this},Y.empty=function(){return!this.node()},Y.node=function(){for(var t=0,e=this.length;t<e;t++)for(var r=this[t],n=0,i=r.length;n<i;n++){var a=r[n];if(a)return a}return null},Y.size=function(){var t=0;return ut(this,(function(){++t})),t};var ht=[];function pt(t){var e,r;return function(n,i,a){var o,s=t[a].update,l=s.length;for(a!=r&&(r=a,e=0),i>=e&&(e=i+1);!(o=s[e])&&++e<l;);return o}}function dt(e,r,i){var a=\"__on\"+e,o=e.indexOf(\".\"),s=gt;o>0&&(e=e.slice(0,o));var l=mt.get(e);function c(){var t=this[a];t&&(this.removeEventListener(e,t,t.$),delete this[a])}return l&&(e=l,s=vt),o?r?function(){var t=s(r,n(arguments));c.call(this),this.addEventListener(e,this[a]=t,t.$=i),t._=r}:c:r?z:function(){var r,n=new RegExp(\"^__on([^.]+)\"+t.requote(e)+\"$\");for(var i in this)if(r=i.match(n)){var a=this[i];this.removeEventListener(r[1],a,a.$),delete this[i]}}}t.selection.enter=ft,t.selection.enter.prototype=ht,ht.append=Y.append,ht.empty=Y.empty,ht.node=Y.node,ht.call=Y.call,ht.size=Y.size,ht.select=function(t){for(var e,r,n,i,a,o=[],s=-1,l=this.length;++s<l;){n=(i=this[s]).update,o.push(e=[]),e.parentNode=i.parentNode;for(var c=-1,u=i.length;++c<u;)(a=i[c])?(e.push(n[c]=r=t.call(i.parentNode,a.__data__,c,s)),r.__data__=a.__data__):e.push(null)}return V(o)},ht.insert=function(t,e){return arguments.length<2&&(e=pt(this)),Y.insert.call(this,t,e)},t.select=function(t){var e;return\"string\"==typeof t?(e=[q(t,i)]).parentNode=i.documentElement:(e=[t]).parentNode=a(t),V([e])},t.selectAll=function(t){var e;return\"string\"==typeof t?(e=n(H(t,i))).parentNode=i.documentElement:(e=n(t)).parentNode=null,V([e])},Y.on=function(t,e,r){var n=arguments.length;if(n<3){if(\"string\"!=typeof t){for(r in n<2&&(e=!1),t)this.each(dt(r,t[r],e));return this}if(n<2)return(n=this.node()[\"__on\"+t])&&n._;r=!1}return this.each(dt(t,e,r))};var mt=t.map({mouseenter:\"mouseover\",mouseleave:\"mouseout\"});function gt(e,r){return function(n){var i=t.event;t.event=n,r[0]=this.__data__;try{e.apply(this,r)}finally{t.event=i}}}function vt(t,e){var r=gt(t,e);return function(t){var e=t.relatedTarget;e&&(e===this||8&e.compareDocumentPosition(this))||r.call(this,t)}}i&&mt.forEach((function(t){\"on\"+t in i&&mt.remove(t)}));var yt,xt=0;function bt(e){var r=\".dragsuppress-\"+ ++xt,n=\"click\"+r,i=t.select(o(e)).on(\"touchmove\"+r,F).on(\"dragstart\"+r,F).on(\"selectstart\"+r,F);if(null==yt&&(yt=!(\"onselectstart\"in e)&&I(e.style,\"userSelect\")),yt){var s=a(e).style,l=s[yt];s[yt]=\"none\"}return function(t){if(i.on(r,null),yt&&(s[yt]=l),t){var e=function(){i.on(n,null)};i.on(n,(function(){F(),e()}),!0),setTimeout(e,0)}}}t.mouse=function(t){return wt(t,B())};var _t=this.navigator&&/WebKit/.test(this.navigator.userAgent)?-1:0;function wt(e,r){r.changedTouches&&(r=r.changedTouches[0]);var n=e.ownerSVGElement||e;if(n.createSVGPoint){var i=n.createSVGPoint();if(_t<0){var a=o(e);if(a.scrollX||a.scrollY){var s=(n=t.select(\"body\").append(\"svg\").style({position:\"absolute\",top:0,left:0,margin:0,padding:0,border:\"none\"},\"important\"))[0][0].getScreenCTM();_t=!(s.f||s.e),n.remove()}}return _t?(i.x=r.pageX,i.y=r.pageY):(i.x=r.clientX,i.y=r.clientY),[(i=i.matrixTransform(e.getScreenCTM().inverse())).x,i.y]}var l=e.getBoundingClientRect();return[r.clientX-l.left-e.clientLeft,r.clientY-l.top-e.clientTop]}function Tt(){return t.event.changedTouches[0].identifier}t.touch=function(t,e,r){if(arguments.length<3&&(r=e,e=B().changedTouches),e)for(var n,i=0,a=e.length;i<a;++i)if((n=e[i]).identifier===r)return wt(t,n)},t.behavior.drag=function(){var e=N(a,\"drag\",\"dragstart\",\"dragend\"),r=null,n=s(z,t.mouse,o,\"mousemove\",\"mouseup\"),i=s(Tt,t.touch,C,\"touchmove\",\"touchend\");function a(){this.on(\"mousedown.drag\",n).on(\"touchstart.drag\",i)}function s(n,i,a,o,s){return function(){var l,c=this,u=t.event.target.correspondingElement||t.event.target,f=c.parentNode,h=e.of(c,arguments),p=0,d=n(),m=\".drag\"+(null==d?\"\":\"-\"+d),g=t.select(a(u)).on(o+m,x).on(s+m,b),v=bt(u),y=i(f,d);function x(){var t,e,r=i(f,d);r&&(t=r[0]-y[0],e=r[1]-y[1],p|=t|e,y=r,h({type:\"drag\",x:r[0]+l[0],y:r[1]+l[1],dx:t,dy:e}))}function b(){i(f,d)&&(g.on(o+m,null).on(s+m,null),v(p),h({type:\"dragend\"}))}l=r?[(l=r.apply(c,arguments)).x-y[0],l.y-y[1]]:[0,0],h({type:\"dragstart\"})}}return a.origin=function(t){return arguments.length?(r=t,a):r},t.rebind(a,e,\"on\")},t.touches=function(t,e){return arguments.length<2&&(e=B().touches),e?n(e).map((function(e){var r=wt(t,e);return r.identifier=e.identifier,r})):[]};var kt=1e-6,Mt=1e-12,At=Math.PI,St=2*At,Et=St-kt,Lt=At/2,Ct=At/180,Pt=180/At;function It(t){return t>0?1:t<0?-1:0}function Ot(t,e,r){return(e[0]-t[0])*(r[1]-t[1])-(e[1]-t[1])*(r[0]-t[0])}function zt(t){return t>1?0:t<-1?At:Math.acos(t)}function Dt(t){return t>1?Lt:t<-1?-Lt:Math.asin(t)}function Rt(t){return((t=Math.exp(t))+1/t)/2}function Ft(t){return(t=Math.sin(t/2))*t}var Bt=Math.SQRT2;t.interpolateZoom=function(t,e){var r,n,i=t[0],a=t[1],o=t[2],s=e[0],l=e[1],c=e[2],u=s-i,f=l-a,h=u*u+f*f;if(h<Mt)n=Math.log(c/o)/Bt,r=function(t){return[i+t*u,a+t*f,o*Math.exp(Bt*t*n)]};else{var p=Math.sqrt(h),d=(c*c-o*o+4*h)/(2*o*2*p),m=(c*c-o*o-4*h)/(2*c*2*p),g=Math.log(Math.sqrt(d*d+1)-d),v=Math.log(Math.sqrt(m*m+1)-m);n=(v-g)/Bt,r=function(t){var e,r=t*n,s=Rt(g),l=o/(2*p)*(s*(e=Bt*r+g,((e=Math.exp(2*e))-1)/(e+1))-function(t){return((t=Math.exp(t))-1/t)/2}(g));return[i+l*u,a+l*f,o*s/Rt(Bt*r+g)]}}return r.duration=1e3*n,r},t.behavior.zoom=function(){var e,r,n,a,s,l,c,u,f,h={x:0,y:0,k:1},p=[960,500],d=Ut,m=250,g=0,v=\"mousedown.zoom\",y=\"mousemove.zoom\",x=\"mouseup.zoom\",b=\"touchstart.zoom\",_=N(w,\"zoomstart\",\"zoom\",\"zoomend\");function w(t){t.on(v,P).on(jt+\".zoom\",O).on(\"dblclick.zoom\",z).on(b,I)}function T(t){return[(t[0]-h.x)/h.k,(t[1]-h.y)/h.k]}function k(t){h.k=Math.max(d[0],Math.min(d[1],t))}function M(t,e){e=function(t){return[t[0]*h.k+h.x,t[1]*h.k+h.y]}(e),h.x+=t[0]-e[0],h.y+=t[1]-e[1]}function A(e,n,i,a){e.__chart__={x:h.x,y:h.y,k:h.k},k(Math.pow(2,a)),M(r=n,i),e=t.select(e),m>0&&(e=e.transition().duration(m)),e.call(w.event)}function S(){c&&c.domain(l.range().map((function(t){return(t-h.x)/h.k})).map(l.invert)),f&&f.domain(u.range().map((function(t){return(t-h.y)/h.k})).map(u.invert))}function E(t){g++||t({type:\"zoomstart\"})}function L(t){S(),t({type:\"zoom\",scale:h.k,translate:[h.x,h.y]})}function C(t){--g||(t({type:\"zoomend\"}),r=null)}function P(){var e=this,r=_.of(e,arguments),n=0,i=t.select(o(e)).on(y,l).on(x,c),a=T(t.mouse(e)),s=bt(e);function l(){n=1,M(t.mouse(e),a),L(r)}function c(){i.on(y,null).on(x,null),s(n),C(r)}vs.call(e),E(r)}function I(){var e,r=this,n=_.of(r,arguments),i={},a=0,o=\".zoom-\"+t.event.changedTouches[0].identifier,l=\"touchmove\"+o,c=\"touchend\"+o,u=[],f=t.select(r),p=bt(r);function d(){var n=t.touches(r);return e=h.k,n.forEach((function(t){t.identifier in i&&(i[t.identifier]=T(t))})),n}function m(){var e=t.event.target;t.select(e).on(l,g).on(c,y),u.push(e);for(var n=t.event.changedTouches,o=0,f=n.length;o<f;++o)i[n[o].identifier]=null;var p=d(),m=Date.now();if(1===p.length){if(m-s<500){var v=p[0];A(r,v,i[v.identifier],Math.floor(Math.log(h.k)/Math.LN2)+1),F()}s=m}else if(p.length>1){v=p[0];var x=p[1],b=v[0]-x[0],_=v[1]-x[1];a=b*b+_*_}}function g(){var o,l,c,u,f=t.touches(r);vs.call(r);for(var h=0,p=f.length;h<p;++h,u=null)if(c=f[h],u=i[c.identifier]){if(l)break;o=c,l=u}if(u){var d=(d=c[0]-o[0])*d+(d=c[1]-o[1])*d,m=a&&Math.sqrt(d/a);o=[(o[0]+c[0])/2,(o[1]+c[1])/2],l=[(l[0]+u[0])/2,(l[1]+u[1])/2],k(m*e)}s=null,M(o,l),L(n)}function y(){if(t.event.touches.length){for(var e=t.event.changedTouches,r=0,a=e.length;r<a;++r)delete i[e[r].identifier];for(var s in i)return void d()}t.selectAll(u).on(o,null),f.on(v,P).on(b,I),p(),C(n)}m(),E(n),f.on(v,null).on(b,m)}function O(){var i=_.of(this,arguments);a?clearTimeout(a):(vs.call(this),e=T(r=n||t.mouse(this)),E(i)),a=setTimeout((function(){a=null,C(i)}),50),F(),k(Math.pow(2,.002*Nt())*h.k),M(r,e),L(i)}function z(){var e=t.mouse(this),r=Math.log(h.k)/Math.LN2;A(this,e,T(e),t.event.shiftKey?Math.ceil(r)-1:Math.floor(r)+1)}return jt||(jt=\"onwheel\"in i?(Nt=function(){return-t.event.deltaY*(t.event.deltaMode?120:1)},\"wheel\"):\"onmousewheel\"in i?(Nt=function(){return t.event.wheelDelta},\"mousewheel\"):(Nt=function(){return-t.event.detail},\"MozMousePixelScroll\")),w.event=function(e){e.each((function(){var e=_.of(this,arguments),n=h;bs?t.select(this).transition().each(\"start.zoom\",(function(){h=this.__chart__||{x:0,y:0,k:1},E(e)})).tween(\"zoom:zoom\",(function(){var i=p[0],a=p[1],o=r?r[0]:i/2,s=r?r[1]:a/2,l=t.interpolateZoom([(o-h.x)/h.k,(s-h.y)/h.k,i/h.k],[(o-n.x)/n.k,(s-n.y)/n.k,i/n.k]);return function(t){var r=l(t),n=i/r[2];this.__chart__=h={x:o-r[0]*n,y:s-r[1]*n,k:n},L(e)}})).each(\"interrupt.zoom\",(function(){C(e)})).each(\"end.zoom\",(function(){C(e)})):(this.__chart__=h,E(e),L(e),C(e))}))},w.translate=function(t){return arguments.length?(h={x:+t[0],y:+t[1],k:h.k},S(),w):[h.x,h.y]},w.scale=function(t){return arguments.length?(h={x:h.x,y:h.y,k:null},k(+t),S(),w):h.k},w.scaleExtent=function(t){return arguments.length?(d=null==t?Ut:[+t[0],+t[1]],w):d},w.center=function(t){return arguments.length?(n=t&&[+t[0],+t[1]],w):n},w.size=function(t){return arguments.length?(p=t&&[+t[0],+t[1]],w):p},w.duration=function(t){return arguments.length?(m=+t,w):m},w.x=function(t){return arguments.length?(c=t,l=t.copy(),h={x:0,y:0,k:1},w):c},w.y=function(t){return arguments.length?(f=t,u=t.copy(),h={x:0,y:0,k:1},w):f},t.rebind(w,_,\"on\")};var Nt,jt,Ut=[0,1/0];function Vt(){}function qt(t,e,r){return this instanceof qt?(this.h=+t,this.s=+e,void(this.l=+r)):arguments.length<2?t instanceof qt?new qt(t.h,t.s,t.l):le(\"\"+t,ce,qt):new qt(t,e,r)}t.color=Vt,Vt.prototype.toString=function(){return this.rgb()+\"\"},t.hsl=qt;var Ht=qt.prototype=new Vt;function Gt(t,e,r){var n,i;function a(t){return Math.round(255*function(t){return t>360?t-=360:t<0&&(t+=360),t<60?n+(i-n)*t/60:t<180?i:t<240?n+(i-n)*(240-t)/60:n}(t))}return t=isNaN(t)?0:(t%=360)<0?t+360:t,e=isNaN(e)||e<0?0:e>1?1:e,n=2*(r=r<0?0:r>1?1:r)-(i=r<=.5?r*(1+e):r+e-r*e),new ne(a(t+120),a(t),a(t-120))}function Yt(e,r,n){return this instanceof Yt?(this.h=+e,this.c=+r,void(this.l=+n)):arguments.length<2?e instanceof Yt?new Yt(e.h,e.c,e.l):$t(e instanceof Zt?e.l:(e=ue((e=t.rgb(e)).r,e.g,e.b)).l,e.a,e.b):new Yt(e,r,n)}Ht.brighter=function(t){return t=Math.pow(.7,arguments.length?t:1),new qt(this.h,this.s,this.l/t)},Ht.darker=function(t){return t=Math.pow(.7,arguments.length?t:1),new qt(this.h,this.s,t*this.l)},Ht.rgb=function(){return Gt(this.h,this.s,this.l)},t.hcl=Yt;var Wt=Yt.prototype=new Vt;function Xt(t,e,r){return isNaN(t)&&(t=0),isNaN(e)&&(e=0),new Zt(r,Math.cos(t*=Ct)*e,Math.sin(t)*e)}function Zt(t,e,r){return this instanceof Zt?(this.l=+t,this.a=+e,void(this.b=+r)):arguments.length<2?t instanceof Zt?new Zt(t.l,t.a,t.b):t instanceof Yt?Xt(t.h,t.c,t.l):ue((t=ne(t)).r,t.g,t.b):new Zt(t,e,r)}Wt.brighter=function(t){return new Yt(this.h,this.c,Math.min(100,this.l+Jt*(arguments.length?t:1)))},Wt.darker=function(t){return new Yt(this.h,this.c,Math.max(0,this.l-Jt*(arguments.length?t:1)))},Wt.rgb=function(){return Xt(this.h,this.c,this.l).rgb()},t.lab=Zt;var Jt=18,Kt=Zt.prototype=new Vt;function Qt(t,e,r){var n=(t+16)/116,i=n+e/500,a=n-r/200;return new ne(re(3.2404542*(i=.95047*te(i))-1.5371385*(n=1*te(n))-.4985314*(a=1.08883*te(a))),re(-.969266*i+1.8760108*n+.041556*a),re(.0556434*i-.2040259*n+1.0572252*a))}function $t(t,e,r){return t>0?new Yt(Math.atan2(r,e)*Pt,Math.sqrt(e*e+r*r),t):new Yt(NaN,NaN,t)}function te(t){return t>.206893034?t*t*t:(t-4/29)/7.787037}function ee(t){return t>.008856?Math.pow(t,1/3):7.787037*t+4/29}function re(t){return Math.round(255*(t<=.00304?12.92*t:1.055*Math.pow(t,1/2.4)-.055))}function ne(t,e,r){return this instanceof ne?(this.r=~~t,this.g=~~e,void(this.b=~~r)):arguments.length<2?t instanceof ne?new ne(t.r,t.g,t.b):le(\"\"+t,ne,Gt):new ne(t,e,r)}function ie(t){return new ne(t>>16,t>>8&255,255&t)}function ae(t){return ie(t)+\"\"}Kt.brighter=function(t){return new Zt(Math.min(100,this.l+Jt*(arguments.length?t:1)),this.a,this.b)},Kt.darker=function(t){return new Zt(Math.max(0,this.l-Jt*(arguments.length?t:1)),this.a,this.b)},Kt.rgb=function(){return Qt(this.l,this.a,this.b)},t.rgb=ne;var oe=ne.prototype=new Vt;function se(t){return t<16?\"0\"+Math.max(0,t).toString(16):Math.min(255,t).toString(16)}function le(t,e,r){var n,i,a,o=0,s=0,l=0;if(n=/([a-z]+)\\((.*)\\)/.exec(t=t.toLowerCase()))switch(i=n[2].split(\",\"),n[1]){case\"hsl\":return r(parseFloat(i[0]),parseFloat(i[1])/100,parseFloat(i[2])/100);case\"rgb\":return e(he(i[0]),he(i[1]),he(i[2]))}return(a=pe.get(t))?e(a.r,a.g,a.b):(null==t||\"#\"!==t.charAt(0)||isNaN(a=parseInt(t.slice(1),16))||(4===t.length?(o=(3840&a)>>4,o|=o>>4,s=240&a,s|=s>>4,l=15&a,l|=l<<4):7===t.length&&(o=(16711680&a)>>16,s=(65280&a)>>8,l=255&a)),e(o,s,l))}function ce(t,e,r){var n,i,a=Math.min(t/=255,e/=255,r/=255),o=Math.max(t,e,r),s=o-a,l=(o+a)/2;return s?(i=l<.5?s/(o+a):s/(2-o-a),n=t==o?(e-r)/s+(e<r?6:0):e==o?(r-t)/s+2:(t-e)/s+4,n*=60):(n=NaN,i=l>0&&l<1?0:n),new qt(n,i,l)}function ue(t,e,r){var n=ee((.4124564*(t=fe(t))+.3575761*(e=fe(e))+.1804375*(r=fe(r)))/.95047),i=ee((.2126729*t+.7151522*e+.072175*r)/1);return Zt(116*i-16,500*(n-i),200*(i-ee((.0193339*t+.119192*e+.9503041*r)/1.08883)))}function fe(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function he(t){var e=parseFloat(t);return\"%\"===t.charAt(t.length-1)?Math.round(2.55*e):e}oe.brighter=function(t){t=Math.pow(.7,arguments.length?t:1);var e=this.r,r=this.g,n=this.b,i=30;return e||r||n?(e&&e<i&&(e=i),r&&r<i&&(r=i),n&&n<i&&(n=i),new ne(Math.min(255,e/t),Math.min(255,r/t),Math.min(255,n/t))):new ne(i,i,i)},oe.darker=function(t){return new ne((t=Math.pow(.7,arguments.length?t:1))*this.r,t*this.g,t*this.b)},oe.hsl=function(){return ce(this.r,this.g,this.b)},oe.toString=function(){return\"#\"+se(this.r)+se(this.g)+se(this.b)};var pe=t.map({aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074});function de(t){return\"function\"==typeof t?t:function(){return t}}function me(t){return function(e,r,n){return 2===arguments.length&&\"function\"==typeof r&&(n=r,r=null),ge(e,r,t,n)}}function ge(e,r,i,a){var o={},s=t.dispatch(\"beforesend\",\"progress\",\"load\",\"error\"),l={},c=new XMLHttpRequest,u=null;function f(){var t,e=c.status;if(!e&&function(t){var e=t.responseType;return e&&\"text\"!==e?t.response:t.responseText}(c)||e>=200&&e<300||304===e){try{t=i.call(o,c)}catch(t){return void s.error.call(o,t)}s.load.call(o,t)}else s.error.call(o,c)}return self.XDomainRequest&&!(\"withCredentials\"in c)&&/^(http(s)?:)?\\/\\//.test(e)&&(c=new XDomainRequest),\"onload\"in c?c.onload=c.onerror=f:c.onreadystatechange=function(){c.readyState>3&&f()},c.onprogress=function(e){var r=t.event;t.event=e;try{s.progress.call(o,c)}finally{t.event=r}},o.header=function(t,e){return t=(t+\"\").toLowerCase(),arguments.length<2?l[t]:(null==e?delete l[t]:l[t]=e+\"\",o)},o.mimeType=function(t){return arguments.length?(r=null==t?null:t+\"\",o):r},o.responseType=function(t){return arguments.length?(u=t,o):u},o.response=function(t){return i=t,o},[\"get\",\"post\"].forEach((function(t){o[t]=function(){return o.send.apply(o,[t].concat(n(arguments)))}})),o.send=function(t,n,i){if(2===arguments.length&&\"function\"==typeof n&&(i=n,n=null),c.open(t,e,!0),null==r||\"accept\"in l||(l.accept=r+\",*/*\"),c.setRequestHeader)for(var a in l)c.setRequestHeader(a,l[a]);return null!=r&&c.overrideMimeType&&c.overrideMimeType(r),null!=u&&(c.responseType=u),null!=i&&o.on(\"error\",i).on(\"load\",(function(t){i(null,t)})),s.beforesend.call(o,c),c.send(null==n?null:n),o},o.abort=function(){return c.abort(),o},t.rebind(o,s,\"on\"),null==a?o:o.get(function(t){return 1===t.length?function(e,r){t(null==e?r:null)}:t}(a))}pe.forEach((function(t,e){pe.set(t,ie(e))})),t.functor=de,t.xhr=me(C),t.dsv=function(t,e){var r=new RegExp('[\"'+t+\"\\n]\"),n=t.charCodeAt(0);function i(t,r,n){arguments.length<3&&(n=r,r=null);var i=ge(t,e,null==r?a:o(r),n);return i.row=function(t){return arguments.length?i.response(null==(r=t)?a:o(t)):r},i}function a(t){return i.parse(t.responseText)}function o(t){return function(e){return i.parse(e.responseText,t)}}function s(e){return e.map(l).join(t)}function l(t){return r.test(t)?'\"'+t.replace(/\\\"/g,'\"\"')+'\"':t}return i.parse=function(t,e){var r;return i.parseRows(t,(function(t,n){if(r)return r(t,n-1);var i=function(e){for(var r={},n=t.length,i=0;i<n;++i)r[t[i]]=e[i];return r};r=e?function(t,r){return e(i(t),r)}:i}))},i.parseRows=function(t,e){var r,i,a={},o={},s=[],l=t.length,c=0,u=0;function f(){if(c>=l)return o;if(i)return i=!1,a;var e=c;if(34===t.charCodeAt(e)){for(var r=e;r++<l;)if(34===t.charCodeAt(r)){if(34!==t.charCodeAt(r+1))break;++r}return c=r+2,13===(s=t.charCodeAt(r+1))?(i=!0,10===t.charCodeAt(r+2)&&++c):10===s&&(i=!0),t.slice(e+1,r).replace(/\"\"/g,'\"')}for(;c<l;){var s,u=1;if(10===(s=t.charCodeAt(c++)))i=!0;else if(13===s)i=!0,10===t.charCodeAt(c)&&(++c,++u);else if(s!==n)continue;return t.slice(e,c-u)}return t.slice(e)}for(;(r=f())!==o;){for(var h=[];r!==a&&r!==o;)h.push(r),r=f();e&&null==(h=e(h,u++))||s.push(h)}return s},i.format=function(e){if(Array.isArray(e[0]))return i.formatRows(e);var r=new L,n=[];return e.forEach((function(t){for(var e in t)r.has(e)||n.push(r.add(e))})),[n.map(l).join(t)].concat(e.map((function(e){return n.map((function(t){return l(e[t])})).join(t)}))).join(\"\\n\")},i.formatRows=function(t){return t.map(s).join(\"\\n\")},i},t.csv=t.dsv(\",\",\"text/csv\"),t.tsv=t.dsv(\"\\t\",\"text/tab-separated-values\");var ve,ye,xe,be,_e=this[I(this,\"requestAnimationFrame\")]||function(t){setTimeout(t,17)};function we(t,e,r){var n=arguments.length;n<2&&(e=0),n<3&&(r=Date.now());var i=r+e,a={c:t,t:i,n:null};return ye?ye.n=a:ve=a,ye=a,xe||(be=clearTimeout(be),xe=1,_e(Te)),a}function Te(){var t=ke(),e=Me()-t;e>24?(isFinite(e)&&(clearTimeout(be),be=setTimeout(Te,e)),xe=0):(xe=1,_e(Te))}function ke(){for(var t=Date.now(),e=ve;e;)t>=e.t&&e.c(t-e.t)&&(e.c=null),e=e.n;return t}function Me(){for(var t,e=ve,r=1/0;e;)e.c?(e.t<r&&(r=e.t),e=(t=e).n):e=t?t.n=e.n:ve=e.n;return ye=t,r}function Ae(t,e){return e-(t?Math.ceil(Math.log(t)/Math.LN10):1)}t.timer=function(){we.apply(this,arguments)},t.timer.flush=function(){ke(),Me()},t.round=function(t,e){return e?Math.round(t*(e=Math.pow(10,e)))/e:Math.round(t)};var Se=[\"y\",\"z\",\"a\",\"f\",\"p\",\"n\",\"\\xb5\",\"m\",\"\",\"k\",\"M\",\"G\",\"T\",\"P\",\"E\",\"Z\",\"Y\"].map((function(t,e){var r=Math.pow(10,3*y(8-e));return{scale:e>8?function(t){return t/r}:function(t){return t*r},symbol:t}}));function Ee(e){var r=e.decimal,n=e.thousands,i=e.grouping,a=e.currency,o=i&&n?function(t,e){for(var r=t.length,a=[],o=0,s=i[0],l=0;r>0&&s>0&&(l+s+1>e&&(s=Math.max(1,e-l)),a.push(t.substring(r-=s,r+s)),!((l+=s+1)>e));)s=i[o=(o+1)%i.length];return a.reverse().join(n)}:C;return function(e){var n=Le.exec(e),i=n[1]||\" \",s=n[2]||\">\",l=n[3]||\"-\",c=n[4]||\"\",u=n[5],f=+n[6],h=n[7],p=n[8],d=n[9],m=1,g=\"\",v=\"\",y=!1,x=!0;switch(p&&(p=+p.substring(1)),(u||\"0\"===i&&\"=\"===s)&&(u=i=\"0\",s=\"=\"),d){case\"n\":h=!0,d=\"g\";break;case\"%\":m=100,v=\"%\",d=\"f\";break;case\"p\":m=100,v=\"%\",d=\"r\";break;case\"b\":case\"o\":case\"x\":case\"X\":\"#\"===c&&(g=\"0\"+d.toLowerCase());case\"c\":x=!1;case\"d\":y=!0,p=0;break;case\"s\":m=-1,d=\"r\"}\"$\"===c&&(g=a[0],v=a[1]),\"r\"!=d||p||(d=\"g\"),null!=p&&(\"g\"==d?p=Math.max(1,Math.min(21,p)):\"e\"!=d&&\"f\"!=d||(p=Math.max(0,Math.min(20,p)))),d=Ce.get(d)||Pe;var b=u&&h;return function(e){var n=v;if(y&&e%1)return\"\";var a=e<0||0===e&&1/e<0?(e=-e,\"-\"):\"-\"===l?\"\":l;if(m<0){var c=t.formatPrefix(e,p);e=c.scale(e),n=c.symbol+v}else e*=m;var _,w,T=(e=d(e,p)).lastIndexOf(\".\");if(T<0){var k=x?e.lastIndexOf(\"e\"):-1;k<0?(_=e,w=\"\"):(_=e.substring(0,k),w=e.substring(k))}else _=e.substring(0,T),w=r+e.substring(T+1);!u&&h&&(_=o(_,1/0));var M=g.length+_.length+w.length+(b?0:a.length),A=M<f?new Array(M=f-M+1).join(i):\"\";return b&&(_=o(A+_,A.length?f-w.length:1/0)),a+=g,e=_+w,(\"<\"===s?a+e+A:\">\"===s?A+a+e:\"^\"===s?A.substring(0,M>>=1)+a+e+A.substring(M):a+(b?e:A+e))+n}}}t.formatPrefix=function(e,r){var n=0;return(e=+e)&&(e<0&&(e*=-1),r&&(e=t.round(e,Ae(e,r))),n=1+Math.floor(1e-12+Math.log(e)/Math.LN10),n=Math.max(-24,Math.min(24,3*Math.floor((n-1)/3)))),Se[8+n/3]};var Le=/(?:([^{])?([<>=^]))?([+\\- ])?([$#])?(0)?(\\d+)?(,)?(\\.-?\\d+)?([a-z%])?/i,Ce=t.map({b:function(t){return t.toString(2)},c:function(t){return String.fromCharCode(t)},o:function(t){return t.toString(8)},x:function(t){return t.toString(16)},X:function(t){return t.toString(16).toUpperCase()},g:function(t,e){return t.toPrecision(e)},e:function(t,e){return t.toExponential(e)},f:function(t,e){return t.toFixed(e)},r:function(e,r){return(e=t.round(e,Ae(e,r))).toFixed(Math.max(0,Math.min(20,Ae(e*(1+1e-15),r))))}});function Pe(t){return t+\"\"}var Ie=t.time={},Oe=Date;function ze(){this._=new Date(arguments.length>1?Date.UTC.apply(this,arguments):arguments[0])}ze.prototype={getDate:function(){return this._.getUTCDate()},getDay:function(){return this._.getUTCDay()},getFullYear:function(){return this._.getUTCFullYear()},getHours:function(){return this._.getUTCHours()},getMilliseconds:function(){return this._.getUTCMilliseconds()},getMinutes:function(){return this._.getUTCMinutes()},getMonth:function(){return this._.getUTCMonth()},getSeconds:function(){return this._.getUTCSeconds()},getTime:function(){return this._.getTime()},getTimezoneOffset:function(){return 0},valueOf:function(){return this._.valueOf()},setDate:function(){De.setUTCDate.apply(this._,arguments)},setDay:function(){De.setUTCDay.apply(this._,arguments)},setFullYear:function(){De.setUTCFullYear.apply(this._,arguments)},setHours:function(){De.setUTCHours.apply(this._,arguments)},setMilliseconds:function(){De.setUTCMilliseconds.apply(this._,arguments)},setMinutes:function(){De.setUTCMinutes.apply(this._,arguments)},setMonth:function(){De.setUTCMonth.apply(this._,arguments)},setSeconds:function(){De.setUTCSeconds.apply(this._,arguments)},setTime:function(){De.setTime.apply(this._,arguments)}};var De=Date.prototype;function Re(t,e,r){function n(e){var r=t(e),n=a(r,1);return e-r<n-e?r:n}function i(r){return e(r=t(new Oe(r-1)),1),r}function a(t,r){return e(t=new Oe(+t),r),t}function o(t,n,a){var o=i(t),s=[];if(a>1)for(;o<n;)r(o)%a||s.push(new Date(+o)),e(o,1);else for(;o<n;)s.push(new Date(+o)),e(o,1);return s}t.floor=t,t.round=n,t.ceil=i,t.offset=a,t.range=o;var s=t.utc=Fe(t);return s.floor=s,s.round=Fe(n),s.ceil=Fe(i),s.offset=Fe(a),s.range=function(t,e,r){try{Oe=ze;var n=new ze;return n._=t,o(n,e,r)}finally{Oe=Date}},t}function Fe(t){return function(e,r){try{Oe=ze;var n=new ze;return n._=e,t(n,r)._}finally{Oe=Date}}}function Be(e){var r=e.dateTime,n=e.date,i=e.time,a=e.periods,o=e.days,s=e.shortDays,l=e.months,c=e.shortMonths;function u(t){var e=t.length;function r(r){for(var n,i,a,o=[],s=-1,l=0;++s<e;)37===t.charCodeAt(s)&&(o.push(t.slice(l,s)),null!=(i=Ne[n=t.charAt(++s)])&&(n=t.charAt(++s)),(a=_[n])&&(n=a(r,null==i?\"e\"===n?\" \":\"0\":i)),o.push(n),l=s+1);return o.push(t.slice(l,s)),o.join(\"\")}return r.parse=function(e){var r={y:1900,m:0,d:1,H:0,M:0,S:0,L:0,Z:null};if(f(r,t,e,0)!=e.length)return null;\"p\"in r&&(r.H=r.H%12+12*r.p);var n=null!=r.Z&&Oe!==ze,i=new(n?ze:Oe);return\"j\"in r?i.setFullYear(r.y,0,r.j):\"W\"in r||\"U\"in r?(\"w\"in r||(r.w=\"W\"in r?1:0),i.setFullYear(r.y,0,1),i.setFullYear(r.y,0,\"W\"in r?(r.w+6)%7+7*r.W-(i.getDay()+5)%7:r.w+7*r.U-(i.getDay()+6)%7)):i.setFullYear(r.y,r.m,r.d),i.setHours(r.H+(r.Z/100|0),r.M+r.Z%100,r.S,r.L),n?i._:i},r.toString=function(){return t},r}function f(t,e,r,n){for(var i,a,o,s=0,l=e.length,c=r.length;s<l;){if(n>=c)return-1;if(37===(i=e.charCodeAt(s++))){if(o=e.charAt(s++),!(a=w[o in Ne?e.charAt(s++):o])||(n=a(t,r,n))<0)return-1}else if(i!=r.charCodeAt(n++))return-1}return n}u.utc=function(t){var e=u(t);function r(t){try{var r=new(Oe=ze);return r._=t,e(r)}finally{Oe=Date}}return r.parse=function(t){try{Oe=ze;var r=e.parse(t);return r&&r._}finally{Oe=Date}},r.toString=e.toString,r},u.multi=u.utc.multi=or;var h=t.map(),p=qe(o),d=He(o),m=qe(s),g=He(s),v=qe(l),y=He(l),x=qe(c),b=He(c);a.forEach((function(t,e){h.set(t.toLowerCase(),e)}));var _={a:function(t){return s[t.getDay()]},A:function(t){return o[t.getDay()]},b:function(t){return c[t.getMonth()]},B:function(t){return l[t.getMonth()]},c:u(r),d:function(t,e){return Ve(t.getDate(),e,2)},e:function(t,e){return Ve(t.getDate(),e,2)},H:function(t,e){return Ve(t.getHours(),e,2)},I:function(t,e){return Ve(t.getHours()%12||12,e,2)},j:function(t,e){return Ve(1+Ie.dayOfYear(t),e,3)},L:function(t,e){return Ve(t.getMilliseconds(),e,3)},m:function(t,e){return Ve(t.getMonth()+1,e,2)},M:function(t,e){return Ve(t.getMinutes(),e,2)},p:function(t){return a[+(t.getHours()>=12)]},S:function(t,e){return Ve(t.getSeconds(),e,2)},U:function(t,e){return Ve(Ie.sundayOfYear(t),e,2)},w:function(t){return t.getDay()},W:function(t,e){return Ve(Ie.mondayOfYear(t),e,2)},x:u(n),X:u(i),y:function(t,e){return Ve(t.getFullYear()%100,e,2)},Y:function(t,e){return Ve(t.getFullYear()%1e4,e,4)},Z:ir,\"%\":function(){return\"%\"}},w={a:function(t,e,r){m.lastIndex=0;var n=m.exec(e.slice(r));return n?(t.w=g.get(n[0].toLowerCase()),r+n[0].length):-1},A:function(t,e,r){p.lastIndex=0;var n=p.exec(e.slice(r));return n?(t.w=d.get(n[0].toLowerCase()),r+n[0].length):-1},b:function(t,e,r){x.lastIndex=0;var n=x.exec(e.slice(r));return n?(t.m=b.get(n[0].toLowerCase()),r+n[0].length):-1},B:function(t,e,r){v.lastIndex=0;var n=v.exec(e.slice(r));return n?(t.m=y.get(n[0].toLowerCase()),r+n[0].length):-1},c:function(t,e,r){return f(t,_.c.toString(),e,r)},d:Qe,e:Qe,H:tr,I:tr,j:$e,L:nr,m:Ke,M:er,p:function(t,e,r){var n=h.get(e.slice(r,r+=2).toLowerCase());return null==n?-1:(t.p=n,r)},S:rr,U:Ye,w:Ge,W:We,x:function(t,e,r){return f(t,_.x.toString(),e,r)},X:function(t,e,r){return f(t,_.X.toString(),e,r)},y:Ze,Y:Xe,Z:Je,\"%\":ar};return u}Ie.year=Re((function(t){return(t=Ie.day(t)).setMonth(0,1),t}),(function(t,e){t.setFullYear(t.getFullYear()+e)}),(function(t){return t.getFullYear()})),Ie.years=Ie.year.range,Ie.years.utc=Ie.year.utc.range,Ie.day=Re((function(t){var e=new Oe(2e3,0);return e.setFullYear(t.getFullYear(),t.getMonth(),t.getDate()),e}),(function(t,e){t.setDate(t.getDate()+e)}),(function(t){return t.getDate()-1})),Ie.days=Ie.day.range,Ie.days.utc=Ie.day.utc.range,Ie.dayOfYear=function(t){var e=Ie.year(t);return Math.floor((t-e-6e4*(t.getTimezoneOffset()-e.getTimezoneOffset()))/864e5)},[\"sunday\",\"monday\",\"tuesday\",\"wednesday\",\"thursday\",\"friday\",\"saturday\"].forEach((function(t,e){e=7-e;var r=Ie[t]=Re((function(t){return(t=Ie.day(t)).setDate(t.getDate()-(t.getDay()+e)%7),t}),(function(t,e){t.setDate(t.getDate()+7*Math.floor(e))}),(function(t){var r=Ie.year(t).getDay();return Math.floor((Ie.dayOfYear(t)+(r+e)%7)/7)-(r!==e)}));Ie[t+\"s\"]=r.range,Ie[t+\"s\"].utc=r.utc.range,Ie[t+\"OfYear\"]=function(t){var r=Ie.year(t).getDay();return Math.floor((Ie.dayOfYear(t)+(r+e)%7)/7)}})),Ie.week=Ie.sunday,Ie.weeks=Ie.sunday.range,Ie.weeks.utc=Ie.sunday.utc.range,Ie.weekOfYear=Ie.sundayOfYear;var Ne={\"-\":\"\",_:\" \",0:\"0\"},je=/^\\s*\\d+/,Ue=/^%/;function Ve(t,e,r){var n=t<0?\"-\":\"\",i=(n?-t:t)+\"\",a=i.length;return n+(a<r?new Array(r-a+1).join(e)+i:i)}function qe(e){return new RegExp(\"^(?:\"+e.map(t.requote).join(\"|\")+\")\",\"i\")}function He(t){for(var e=new _,r=-1,n=t.length;++r<n;)e.set(t[r].toLowerCase(),r);return e}function Ge(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+1));return n?(t.w=+n[0],r+n[0].length):-1}function Ye(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r));return n?(t.U=+n[0],r+n[0].length):-1}function We(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r));return n?(t.W=+n[0],r+n[0].length):-1}function Xe(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+4));return n?(t.y=+n[0],r+n[0].length):-1}function Ze(t,e,r){je.lastIndex=0;var n,i=je.exec(e.slice(r,r+2));return i?(t.y=(n=+i[0])+(n>68?1900:2e3),r+i[0].length):-1}function Je(t,e,r){return/^[+-]\\d{4}$/.test(e=e.slice(r,r+5))?(t.Z=-e,r+5):-1}function Ke(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.m=n[0]-1,r+n[0].length):-1}function Qe(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.d=+n[0],r+n[0].length):-1}function $e(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+3));return n?(t.j=+n[0],r+n[0].length):-1}function tr(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.H=+n[0],r+n[0].length):-1}function er(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.M=+n[0],r+n[0].length):-1}function rr(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.S=+n[0],r+n[0].length):-1}function nr(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+3));return n?(t.L=+n[0],r+n[0].length):-1}function ir(t){var e=t.getTimezoneOffset(),r=e>0?\"-\":\"+\",n=y(e)/60|0,i=y(e)%60;return r+Ve(n,\"0\",2)+Ve(i,\"0\",2)}function ar(t,e,r){Ue.lastIndex=0;var n=Ue.exec(e.slice(r,r+1));return n?r+n[0].length:-1}function or(t){for(var e=t.length,r=-1;++r<e;)t[r][0]=this(t[r][0]);return function(e){for(var r=0,n=t[r];!n[1](e);)n=t[++r];return n[0](e)}}t.locale=function(t){return{numberFormat:Ee(t),timeFormat:Be(t)}};var sr=t.locale({decimal:\".\",thousands:\",\",grouping:[3],currency:[\"$\",\"\"],dateTime:\"%a %b %e %X %Y\",date:\"%m/%d/%Y\",time:\"%H:%M:%S\",periods:[\"AM\",\"PM\"],days:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],shortDays:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],months:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],shortMonths:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"]});function lr(){}t.format=sr.numberFormat,t.geo={},lr.prototype={s:0,t:0,add:function(t){ur(t,this.t,cr),ur(cr.s,this.s,this),this.s?this.t+=cr.t:this.s=cr.t},reset:function(){this.s=this.t=0},valueOf:function(){return this.s}};var cr=new lr;function ur(t,e,r){var n=r.s=t+e,i=n-t,a=n-i;r.t=t-a+(e-i)}function fr(t,e){t&&pr.hasOwnProperty(t.type)&&pr[t.type](t,e)}t.geo.stream=function(t,e){t&&hr.hasOwnProperty(t.type)?hr[t.type](t,e):fr(t,e)};var hr={Feature:function(t,e){fr(t.geometry,e)},FeatureCollection:function(t,e){for(var r=t.features,n=-1,i=r.length;++n<i;)fr(r[n].geometry,e)}},pr={Sphere:function(t,e){e.sphere()},Point:function(t,e){t=t.coordinates,e.point(t[0],t[1],t[2])},MultiPoint:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)t=r[n],e.point(t[0],t[1],t[2])},LineString:function(t,e){dr(t.coordinates,e,0)},MultiLineString:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)dr(r[n],e,0)},Polygon:function(t,e){mr(t.coordinates,e)},MultiPolygon:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)mr(r[n],e)},GeometryCollection:function(t,e){for(var r=t.geometries,n=-1,i=r.length;++n<i;)fr(r[n],e)}};function dr(t,e,r){var n,i=-1,a=t.length-r;for(e.lineStart();++i<a;)n=t[i],e.point(n[0],n[1],n[2]);e.lineEnd()}function mr(t,e){var r=-1,n=t.length;for(e.polygonStart();++r<n;)dr(t[r],e,1);e.polygonEnd()}t.geo.area=function(e){return gr=0,t.geo.stream(e,Lr),gr};var gr,vr,yr,xr,br,_r,wr,Tr,kr,Mr,Ar,Sr,Er=new lr,Lr={sphere:function(){gr+=4*At},point:z,lineStart:z,lineEnd:z,polygonStart:function(){Er.reset(),Lr.lineStart=Cr},polygonEnd:function(){var t=2*Er;gr+=t<0?4*At+t:t,Lr.lineStart=Lr.lineEnd=Lr.point=z}};function Cr(){var t,e,r,n,i;function a(t,e){e=e*Ct/2+At/4;var a=(t*=Ct)-r,o=a>=0?1:-1,s=o*a,l=Math.cos(e),c=Math.sin(e),u=i*c,f=n*l+u*Math.cos(s),h=u*o*Math.sin(s);Er.add(Math.atan2(h,f)),r=t,n=l,i=c}Lr.point=function(o,s){Lr.point=a,r=(t=o)*Ct,n=Math.cos(s=(e=s)*Ct/2+At/4),i=Math.sin(s)},Lr.lineEnd=function(){a(t,e)}}function Pr(t){var e=t[0],r=t[1],n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}function Ir(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]}function Or(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}function zr(t,e){t[0]+=e[0],t[1]+=e[1],t[2]+=e[2]}function Dr(t,e){return[t[0]*e,t[1]*e,t[2]*e]}function Rr(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]+t[2]*t[2]);t[0]/=e,t[1]/=e,t[2]/=e}function Fr(t){return[Math.atan2(t[1],t[0]),Dt(t[2])]}function Br(t,e){return y(t[0]-e[0])<kt&&y(t[1]-e[1])<kt}t.geo.bounds=function(){var e,r,n,i,a,o,s,l,c,u,f,h={point:p,lineStart:m,lineEnd:g,polygonStart:function(){h.point=v,h.lineStart=x,h.lineEnd=b,c=0,Lr.polygonStart()},polygonEnd:function(){Lr.polygonEnd(),h.point=p,h.lineStart=m,h.lineEnd=g,Er<0?(e=-(n=180),r=-(i=90)):c>kt?i=90:c<-kt&&(r=-90),f[0]=e,f[1]=n}};function p(t,a){u.push(f=[e=t,n=t]),a<r&&(r=a),a>i&&(i=a)}function d(t,o){var s=Pr([t*Ct,o*Ct]);if(l){var c=Or(l,s),u=Or([c[1],-c[0],0],c);Rr(u),u=Fr(u);var f=t-a,h=f>0?1:-1,d=u[0]*Pt*h,m=y(f)>180;if(m^(h*a<d&&d<h*t))(g=u[1]*Pt)>i&&(i=g);else if(m^(h*a<(d=(d+360)%360-180)&&d<h*t)){var g;(g=-u[1]*Pt)<r&&(r=g)}else o<r&&(r=o),o>i&&(i=o);m?t<a?_(e,t)>_(e,n)&&(n=t):_(t,n)>_(e,n)&&(e=t):n>=e?(t<e&&(e=t),t>n&&(n=t)):t>a?_(e,t)>_(e,n)&&(n=t):_(t,n)>_(e,n)&&(e=t)}else p(t,o);l=s,a=t}function m(){h.point=d}function g(){f[0]=e,f[1]=n,h.point=p,l=null}function v(t,e){if(l){var r=t-a;c+=y(r)>180?r+(r>0?360:-360):r}else o=t,s=e;Lr.point(t,e),d(t,e)}function x(){Lr.lineStart()}function b(){v(o,s),Lr.lineEnd(),y(c)>kt&&(e=-(n=180)),f[0]=e,f[1]=n,l=null}function _(t,e){return(e-=t)<0?e+360:e}function w(t,e){return t[0]-e[0]}function T(t,e){return e[0]<=e[1]?e[0]<=t&&t<=e[1]:t<e[0]||e[1]<t}return function(a){if(i=n=-(e=r=1/0),u=[],t.geo.stream(a,h),c=u.length){u.sort(w);for(var o=1,s=[m=u[0]];o<c;++o)T((p=u[o])[0],m)||T(p[1],m)?(_(m[0],p[1])>_(m[0],m[1])&&(m[1]=p[1]),_(p[0],m[1])>_(m[0],m[1])&&(m[0]=p[0])):s.push(m=p);for(var l,c,p,d=-1/0,m=(o=0,s[c=s.length-1]);o<=c;m=p,++o)p=s[o],(l=_(m[1],p[0]))>d&&(d=l,e=p[0],n=m[1])}return u=f=null,e===1/0||r===1/0?[[NaN,NaN],[NaN,NaN]]:[[e,r],[n,i]]}}(),t.geo.centroid=function(e){vr=yr=xr=br=_r=wr=Tr=kr=Mr=Ar=Sr=0,t.geo.stream(e,Nr);var r=Mr,n=Ar,i=Sr,a=r*r+n*n+i*i;return a<Mt&&(r=wr,n=Tr,i=kr,yr<kt&&(r=xr,n=br,i=_r),(a=r*r+n*n+i*i)<Mt)?[NaN,NaN]:[Math.atan2(n,r)*Pt,Dt(i/Math.sqrt(a))*Pt]};var Nr={sphere:z,point:jr,lineStart:Vr,lineEnd:qr,polygonStart:function(){Nr.lineStart=Hr},polygonEnd:function(){Nr.lineStart=Vr}};function jr(t,e){t*=Ct;var r=Math.cos(e*=Ct);Ur(r*Math.cos(t),r*Math.sin(t),Math.sin(e))}function Ur(t,e,r){++vr,xr+=(t-xr)/vr,br+=(e-br)/vr,_r+=(r-_r)/vr}function Vr(){var t,e,r;function n(n,i){n*=Ct;var a=Math.cos(i*=Ct),o=a*Math.cos(n),s=a*Math.sin(n),l=Math.sin(i),c=Math.atan2(Math.sqrt((c=e*l-r*s)*c+(c=r*o-t*l)*c+(c=t*s-e*o)*c),t*o+e*s+r*l);yr+=c,wr+=c*(t+(t=o)),Tr+=c*(e+(e=s)),kr+=c*(r+(r=l)),Ur(t,e,r)}Nr.point=function(i,a){i*=Ct;var o=Math.cos(a*=Ct);t=o*Math.cos(i),e=o*Math.sin(i),r=Math.sin(a),Nr.point=n,Ur(t,e,r)}}function qr(){Nr.point=jr}function Hr(){var t,e,r,n,i;function a(t,e){t*=Ct;var a=Math.cos(e*=Ct),o=a*Math.cos(t),s=a*Math.sin(t),l=Math.sin(e),c=n*l-i*s,u=i*o-r*l,f=r*s-n*o,h=Math.sqrt(c*c+u*u+f*f),p=r*o+n*s+i*l,d=h&&-zt(p)/h,m=Math.atan2(h,p);Mr+=d*c,Ar+=d*u,Sr+=d*f,yr+=m,wr+=m*(r+(r=o)),Tr+=m*(n+(n=s)),kr+=m*(i+(i=l)),Ur(r,n,i)}Nr.point=function(o,s){t=o,e=s,Nr.point=a,o*=Ct;var l=Math.cos(s*=Ct);r=l*Math.cos(o),n=l*Math.sin(o),i=Math.sin(s),Ur(r,n,i)},Nr.lineEnd=function(){a(t,e),Nr.lineEnd=qr,Nr.point=jr}}function Gr(t,e){function r(r,n){return r=t(r,n),e(r[0],r[1])}return t.invert&&e.invert&&(r.invert=function(r,n){return(r=e.invert(r,n))&&t.invert(r[0],r[1])}),r}function Yr(){return!0}function Wr(t,e,r,n,i){var a=[],o=[];if(t.forEach((function(t){if(!((e=t.length-1)<=0)){var e,r=t[0],n=t[e];if(Br(r,n)){i.lineStart();for(var s=0;s<e;++s)i.point((r=t[s])[0],r[1]);i.lineEnd()}else{var l=new Zr(r,t,null,!0),c=new Zr(r,null,l,!1);l.o=c,a.push(l),o.push(c),l=new Zr(n,t,null,!1),c=new Zr(n,null,l,!0),l.o=c,a.push(l),o.push(c)}}})),o.sort(e),Xr(a),Xr(o),a.length){for(var s=0,l=r,c=o.length;s<c;++s)o[s].e=l=!l;for(var u,f,h=a[0];;){for(var p=h,d=!0;p.v;)if((p=p.n)===h)return;u=p.z,i.lineStart();do{if(p.v=p.o.v=!0,p.e){if(d)for(s=0,c=u.length;s<c;++s)i.point((f=u[s])[0],f[1]);else n(p.x,p.n.x,1,i);p=p.n}else{if(d)for(s=(u=p.p.z).length-1;s>=0;--s)i.point((f=u[s])[0],f[1]);else n(p.x,p.p.x,-1,i);p=p.p}u=(p=p.o).z,d=!d}while(!p.v);i.lineEnd()}}}function Xr(t){if(e=t.length){for(var e,r,n=0,i=t[0];++n<e;)i.n=r=t[n],r.p=i,i=r;i.n=r=t[0],r.p=i}}function Zr(t,e,r,n){this.x=t,this.z=e,this.o=r,this.e=n,this.v=!1,this.n=this.p=null}function Jr(e,r,n,i){return function(a,o){var s,l=r(o),c=a.invert(i[0],i[1]),u={point:f,lineStart:p,lineEnd:d,polygonStart:function(){u.point=b,u.lineStart=_,u.lineEnd=w,s=[],m=[]},polygonEnd:function(){u.point=f,u.lineStart=p,u.lineEnd=d,s=t.merge(s);var e=function(t,e){var r=t[0],n=t[1],i=[Math.sin(r),-Math.cos(r),0],a=0,o=0;Er.reset();for(var s=0,l=e.length;s<l;++s){var c=e[s],u=c.length;if(u)for(var f=c[0],h=f[0],p=f[1]/2+At/4,d=Math.sin(p),m=Math.cos(p),g=1;;){g===u&&(g=0);var v=(t=c[g])[0],y=t[1]/2+At/4,x=Math.sin(y),b=Math.cos(y),_=v-h,w=_>=0?1:-1,T=w*_,k=T>At,M=d*x;if(Er.add(Math.atan2(M*w*Math.sin(T),m*b+M*Math.cos(T))),a+=k?_+w*St:_,k^h>=r^v>=r){var A=Or(Pr(f),Pr(t));Rr(A);var S=Or(i,A);Rr(S);var E=(k^_>=0?-1:1)*Dt(S[2]);(n>E||n===E&&(A[0]||A[1]))&&(o+=k^_>=0?1:-1)}if(!g++)break;h=v,d=x,m=b,f=t}}return(a<-kt||a<kt&&Er<-kt)^1&o}(c,m);s.length?(x||(o.polygonStart(),x=!0),Wr(s,$r,e,n,o)):e&&(x||(o.polygonStart(),x=!0),o.lineStart(),n(null,null,1,o),o.lineEnd()),x&&(o.polygonEnd(),x=!1),s=m=null},sphere:function(){o.polygonStart(),o.lineStart(),n(null,null,1,o),o.lineEnd(),o.polygonEnd()}};function f(t,r){var n=a(t,r);e(t=n[0],r=n[1])&&o.point(t,r)}function h(t,e){var r=a(t,e);l.point(r[0],r[1])}function p(){u.point=h,l.lineStart()}function d(){u.point=f,l.lineEnd()}var m,g,v=Qr(),y=r(v),x=!1;function b(t,e){g.push([t,e]);var r=a(t,e);y.point(r[0],r[1])}function _(){y.lineStart(),g=[]}function w(){b(g[0][0],g[0][1]),y.lineEnd();var t,e=y.clean(),r=v.buffer(),n=r.length;if(g.pop(),m.push(g),g=null,n)if(1&e){var i,a=-1;if((n=(t=r[0]).length-1)>0){for(x||(o.polygonStart(),x=!0),o.lineStart();++a<n;)o.point((i=t[a])[0],i[1]);o.lineEnd()}}else n>1&&2&e&&r.push(r.pop().concat(r.shift())),s.push(r.filter(Kr))}return u}}function Kr(t){return t.length>1}function Qr(){var t,e=[];return{lineStart:function(){e.push(t=[])},point:function(e,r){t.push([e,r])},lineEnd:z,buffer:function(){var r=e;return e=[],t=null,r},rejoin:function(){e.length>1&&e.push(e.pop().concat(e.shift()))}}}function $r(t,e){return((t=t.x)[0]<0?t[1]-Lt-kt:Lt-t[1])-((e=e.x)[0]<0?e[1]-Lt-kt:Lt-e[1])}var tn=Jr(Yr,(function(t){var e,r=NaN,n=NaN,i=NaN;return{lineStart:function(){t.lineStart(),e=1},point:function(a,o){var s=a>0?At:-At,l=y(a-r);y(l-At)<kt?(t.point(r,n=(n+o)/2>0?Lt:-Lt),t.point(i,n),t.lineEnd(),t.lineStart(),t.point(s,n),t.point(a,n),e=0):i!==s&&l>=At&&(y(r-i)<kt&&(r-=i*kt),y(a-s)<kt&&(a-=s*kt),n=function(t,e,r,n){var i,a,o=Math.sin(t-r);return y(o)>kt?Math.atan((Math.sin(e)*(a=Math.cos(n))*Math.sin(r)-Math.sin(n)*(i=Math.cos(e))*Math.sin(t))/(i*a*o)):(e+n)/2}(r,n,a,o),t.point(i,n),t.lineEnd(),t.lineStart(),t.point(s,n),e=0),t.point(r=a,n=o),i=s},lineEnd:function(){t.lineEnd(),r=n=NaN},clean:function(){return 2-e}}}),(function(t,e,r,n){var i;if(null==t)i=r*Lt,n.point(-At,i),n.point(0,i),n.point(At,i),n.point(At,0),n.point(At,-i),n.point(0,-i),n.point(-At,-i),n.point(-At,0),n.point(-At,i);else if(y(t[0]-e[0])>kt){var a=t[0]<e[0]?At:-At;i=r*a/2,n.point(-a,i),n.point(0,i),n.point(a,i)}else n.point(e[0],e[1])}),[-At,-At/2]);function en(t){var e=Math.cos(t),r=e>0,n=y(e)>kt;return Jr(i,(function(t){var e,s,l,c,u;return{lineStart:function(){c=l=!1,u=1},point:function(f,h){var p,d=[f,h],m=i(f,h),g=r?m?0:o(f,h):m?o(f+(f<0?At:-At),h):0;if(!e&&(c=l=m)&&t.lineStart(),m!==l&&(p=a(e,d),(Br(e,p)||Br(d,p))&&(d[0]+=kt,d[1]+=kt,m=i(d[0],d[1]))),m!==l)u=0,m?(t.lineStart(),p=a(d,e),t.point(p[0],p[1])):(p=a(e,d),t.point(p[0],p[1]),t.lineEnd()),e=p;else if(n&&e&&r^m){var v;g&s||!(v=a(d,e,!0))||(u=0,r?(t.lineStart(),t.point(v[0][0],v[0][1]),t.point(v[1][0],v[1][1]),t.lineEnd()):(t.point(v[1][0],v[1][1]),t.lineEnd(),t.lineStart(),t.point(v[0][0],v[0][1])))}!m||e&&Br(e,d)||t.point(d[0],d[1]),e=d,l=m,s=g},lineEnd:function(){l&&t.lineEnd(),e=null},clean:function(){return u|(c&&l)<<1}}}),Bn(t,6*Ct),r?[0,-t]:[-At,t-At]);function i(t,r){return Math.cos(t)*Math.cos(r)>e}function a(t,r,n){var i=[1,0,0],a=Or(Pr(t),Pr(r)),o=Ir(a,a),s=a[0],l=o-s*s;if(!l)return!n&&t;var c=e*o/l,u=-e*s/l,f=Or(i,a),h=Dr(i,c);zr(h,Dr(a,u));var p=f,d=Ir(h,p),m=Ir(p,p),g=d*d-m*(Ir(h,h)-1);if(!(g<0)){var v=Math.sqrt(g),x=Dr(p,(-d-v)/m);if(zr(x,h),x=Fr(x),!n)return x;var b,_=t[0],w=r[0],T=t[1],k=r[1];w<_&&(b=_,_=w,w=b);var M=w-_,A=y(M-At)<kt;if(!A&&k<T&&(b=T,T=k,k=b),A||M<kt?A?T+k>0^x[1]<(y(x[0]-_)<kt?T:k):T<=x[1]&&x[1]<=k:M>At^(_<=x[0]&&x[0]<=w)){var S=Dr(p,(-d+v)/m);return zr(S,h),[x,Fr(S)]}}}function o(e,n){var i=r?t:At-t,a=0;return e<-i?a|=1:e>i&&(a|=2),n<-i?a|=4:n>i&&(a|=8),a}}function rn(t,e,r,n){return function(i){var a,o=i.a,s=i.b,l=o.x,c=o.y,u=0,f=1,h=s.x-l,p=s.y-c;if(a=t-l,h||!(a>0)){if(a/=h,h<0){if(a<u)return;a<f&&(f=a)}else if(h>0){if(a>f)return;a>u&&(u=a)}if(a=r-l,h||!(a<0)){if(a/=h,h<0){if(a>f)return;a>u&&(u=a)}else if(h>0){if(a<u)return;a<f&&(f=a)}if(a=e-c,p||!(a>0)){if(a/=p,p<0){if(a<u)return;a<f&&(f=a)}else if(p>0){if(a>f)return;a>u&&(u=a)}if(a=n-c,p||!(a<0)){if(a/=p,p<0){if(a>f)return;a>u&&(u=a)}else if(p>0){if(a<u)return;a<f&&(f=a)}return u>0&&(i.a={x:l+u*h,y:c+u*p}),f<1&&(i.b={x:l+f*h,y:c+f*p}),i}}}}}}function nn(e,r,n,i){return function(l){var c,u,f,h,p,d,m,g,v,y,x,b=l,_=Qr(),w=rn(e,r,n,i),T={point:A,lineStart:function(){T.point=S,u&&u.push(f=[]);y=!0,v=!1,m=g=NaN},lineEnd:function(){c&&(S(h,p),d&&v&&_.rejoin(),c.push(_.buffer()));T.point=A,v&&l.lineEnd()},polygonStart:function(){l=_,c=[],u=[],x=!0},polygonEnd:function(){l=b,c=t.merge(c);var r=function(t){for(var e=0,r=u.length,n=t[1],i=0;i<r;++i)for(var a,o=1,s=u[i],l=s.length,c=s[0];o<l;++o)a=s[o],c[1]<=n?a[1]>n&&Ot(c,a,t)>0&&++e:a[1]<=n&&Ot(c,a,t)<0&&--e,c=a;return 0!==e}([e,i]),n=x&&r,a=c.length;(n||a)&&(l.polygonStart(),n&&(l.lineStart(),k(null,null,1,l),l.lineEnd()),a&&Wr(c,o,r,k,l),l.polygonEnd()),c=u=f=null}};function k(t,o,l,c){var u=0,f=0;if(null==t||(u=a(t,l))!==(f=a(o,l))||s(t,o)<0^l>0)do{c.point(0===u||3===u?e:n,u>1?i:r)}while((u=(u+l+4)%4)!==f);else c.point(o[0],o[1])}function M(t,a){return e<=t&&t<=n&&r<=a&&a<=i}function A(t,e){M(t,e)&&l.point(t,e)}function S(t,e){var r=M(t=Math.max(-1e9,Math.min(1e9,t)),e=Math.max(-1e9,Math.min(1e9,e)));if(u&&f.push([t,e]),y)h=t,p=e,d=r,y=!1,r&&(l.lineStart(),l.point(t,e));else if(r&&v)l.point(t,e);else{var n={a:{x:m,y:g},b:{x:t,y:e}};w(n)?(v||(l.lineStart(),l.point(n.a.x,n.a.y)),l.point(n.b.x,n.b.y),r||l.lineEnd(),x=!1):r&&(l.lineStart(),l.point(t,e),x=!1)}m=t,g=e,v=r}return T};function a(t,i){return y(t[0]-e)<kt?i>0?0:3:y(t[0]-n)<kt?i>0?2:1:y(t[1]-r)<kt?i>0?1:0:i>0?3:2}function o(t,e){return s(t.x,e.x)}function s(t,e){var r=a(t,1),n=a(e,1);return r!==n?r-n:0===r?e[1]-t[1]:1===r?t[0]-e[0]:2===r?t[1]-e[1]:e[0]-t[0]}}function an(t){var e=0,r=At/3,n=Cn(t),i=n(e,r);return i.parallels=function(t){return arguments.length?n(e=t[0]*At/180,r=t[1]*At/180):[e/At*180,r/At*180]},i}function on(t,e){var r=Math.sin(t),n=(r+Math.sin(e))/2,i=1+r*(2*n-r),a=Math.sqrt(i)/n;function o(t,e){var r=Math.sqrt(i-2*n*Math.sin(e))/n;return[r*Math.sin(t*=n),a-r*Math.cos(t)]}return o.invert=function(t,e){var r=a-e;return[Math.atan2(t,r)/n,Dt((i-(t*t+r*r)*n*n)/(2*n))]},o}t.geo.clipExtent=function(){var t,e,r,n,i,a,o={stream:function(t){return i&&(i.valid=!1),(i=a(t)).valid=!0,i},extent:function(s){return arguments.length?(a=nn(t=+s[0][0],e=+s[0][1],r=+s[1][0],n=+s[1][1]),i&&(i.valid=!1,i=null),o):[[t,e],[r,n]]}};return o.extent([[0,0],[960,500]])},(t.geo.conicEqualArea=function(){return an(on)}).raw=on,t.geo.albers=function(){return t.geo.conicEqualArea().rotate([96,0]).center([-.6,38.7]).parallels([29.5,45.5]).scale(1070)},t.geo.albersUsa=function(){var e,r,n,i,a=t.geo.albers(),o=t.geo.conicEqualArea().rotate([154,0]).center([-2,58.5]).parallels([55,65]),s=t.geo.conicEqualArea().rotate([157,0]).center([-3,19.9]).parallels([8,18]),l={point:function(t,r){e=[t,r]}};function c(t){var a=t[0],o=t[1];return e=null,r(a,o),e||(n(a,o),e)||i(a,o),e}return c.invert=function(t){var e=a.scale(),r=a.translate(),n=(t[0]-r[0])/e,i=(t[1]-r[1])/e;return(i>=.12&&i<.234&&n>=-.425&&n<-.214?o:i>=.166&&i<.234&&n>=-.214&&n<-.115?s:a).invert(t)},c.stream=function(t){var e=a.stream(t),r=o.stream(t),n=s.stream(t);return{point:function(t,i){e.point(t,i),r.point(t,i),n.point(t,i)},sphere:function(){e.sphere(),r.sphere(),n.sphere()},lineStart:function(){e.lineStart(),r.lineStart(),n.lineStart()},lineEnd:function(){e.lineEnd(),r.lineEnd(),n.lineEnd()},polygonStart:function(){e.polygonStart(),r.polygonStart(),n.polygonStart()},polygonEnd:function(){e.polygonEnd(),r.polygonEnd(),n.polygonEnd()}}},c.precision=function(t){return arguments.length?(a.precision(t),o.precision(t),s.precision(t),c):a.precision()},c.scale=function(t){return arguments.length?(a.scale(t),o.scale(.35*t),s.scale(t),c.translate(a.translate())):a.scale()},c.translate=function(t){if(!arguments.length)return a.translate();var e=a.scale(),u=+t[0],f=+t[1];return r=a.translate(t).clipExtent([[u-.455*e,f-.238*e],[u+.455*e,f+.238*e]]).stream(l).point,n=o.translate([u-.307*e,f+.201*e]).clipExtent([[u-.425*e+kt,f+.12*e+kt],[u-.214*e-kt,f+.234*e-kt]]).stream(l).point,i=s.translate([u-.205*e,f+.212*e]).clipExtent([[u-.214*e+kt,f+.166*e+kt],[u-.115*e-kt,f+.234*e-kt]]).stream(l).point,c},c.scale(1070)};var sn,ln,cn,un,fn,hn,pn={point:z,lineStart:z,lineEnd:z,polygonStart:function(){ln=0,pn.lineStart=dn},polygonEnd:function(){pn.lineStart=pn.lineEnd=pn.point=z,sn+=y(ln/2)}};function dn(){var t,e,r,n;function i(t,e){ln+=n*t-r*e,r=t,n=e}pn.point=function(a,o){pn.point=i,t=r=a,e=n=o},pn.lineEnd=function(){i(t,e)}}var mn={point:function(t,e){t<cn&&(cn=t);t>fn&&(fn=t);e<un&&(un=e);e>hn&&(hn=e)},lineStart:z,lineEnd:z,polygonStart:z,polygonEnd:z};function gn(){var t=vn(4.5),e=[],r={point:n,lineStart:function(){r.point=i},lineEnd:o,polygonStart:function(){r.lineEnd=s},polygonEnd:function(){r.lineEnd=o,r.point=n},pointRadius:function(e){return t=vn(e),r},result:function(){if(e.length){var t=e.join(\"\");return e=[],t}}};function n(r,n){e.push(\"M\",r,\",\",n,t)}function i(t,n){e.push(\"M\",t,\",\",n),r.point=a}function a(t,r){e.push(\"L\",t,\",\",r)}function o(){r.point=n}function s(){e.push(\"Z\")}return r}function vn(t){return\"m0,\"+t+\"a\"+t+\",\"+t+\" 0 1,1 0,\"+-2*t+\"a\"+t+\",\"+t+\" 0 1,1 0,\"+2*t+\"z\"}var yn,xn={point:bn,lineStart:_n,lineEnd:wn,polygonStart:function(){xn.lineStart=Tn},polygonEnd:function(){xn.point=bn,xn.lineStart=_n,xn.lineEnd=wn}};function bn(t,e){xr+=t,br+=e,++_r}function _n(){var t,e;function r(r,n){var i=r-t,a=n-e,o=Math.sqrt(i*i+a*a);wr+=o*(t+r)/2,Tr+=o*(e+n)/2,kr+=o,bn(t=r,e=n)}xn.point=function(n,i){xn.point=r,bn(t=n,e=i)}}function wn(){xn.point=bn}function Tn(){var t,e,r,n;function i(t,e){var i=t-r,a=e-n,o=Math.sqrt(i*i+a*a);wr+=o*(r+t)/2,Tr+=o*(n+e)/2,kr+=o,Mr+=(o=n*t-r*e)*(r+t),Ar+=o*(n+e),Sr+=3*o,bn(r=t,n=e)}xn.point=function(a,o){xn.point=i,bn(t=r=a,e=n=o)},xn.lineEnd=function(){i(t,e)}}function kn(t){var e=4.5,r={point:n,lineStart:function(){r.point=i},lineEnd:o,polygonStart:function(){r.lineEnd=s},polygonEnd:function(){r.lineEnd=o,r.point=n},pointRadius:function(t){return e=t,r},result:z};function n(r,n){t.moveTo(r+e,n),t.arc(r,n,e,0,St)}function i(e,n){t.moveTo(e,n),r.point=a}function a(e,r){t.lineTo(e,r)}function o(){r.point=n}function s(){t.closePath()}return r}function Mn(t){var e=.5,r=Math.cos(30*Ct),n=16;function i(t){return(n?o:a)(t)}function a(e){return En(e,(function(r,n){r=t(r,n),e.point(r[0],r[1])}))}function o(e){var r,i,a,o,l,c,u,f,h,p,d,m,g={point:v,lineStart:y,lineEnd:b,polygonStart:function(){e.polygonStart(),g.lineStart=_},polygonEnd:function(){e.polygonEnd(),g.lineStart=y}};function v(r,n){r=t(r,n),e.point(r[0],r[1])}function y(){f=NaN,g.point=x,e.lineStart()}function x(r,i){var a=Pr([r,i]),o=t(r,i);s(f,h,u,p,d,m,f=o[0],h=o[1],u=r,p=a[0],d=a[1],m=a[2],n,e),e.point(f,h)}function b(){g.point=v,e.lineEnd()}function _(){y(),g.point=w,g.lineEnd=T}function w(t,e){x(r=t,e),i=f,a=h,o=p,l=d,c=m,g.point=x}function T(){s(f,h,u,p,d,m,i,a,r,o,l,c,n,e),g.lineEnd=b,b()}return g}function s(n,i,a,o,l,c,u,f,h,p,d,m,g,v){var x=u-n,b=f-i,_=x*x+b*b;if(_>4*e&&g--){var w=o+p,T=l+d,k=c+m,M=Math.sqrt(w*w+T*T+k*k),A=Math.asin(k/=M),S=y(y(k)-1)<kt||y(a-h)<kt?(a+h)/2:Math.atan2(T,w),E=t(S,A),L=E[0],C=E[1],P=L-n,I=C-i,O=b*P-x*I;(O*O/_>e||y((x*P+b*I)/_-.5)>.3||o*p+l*d+c*m<r)&&(s(n,i,a,o,l,c,L,C,S,w/=M,T/=M,k,g,v),v.point(L,C),s(L,C,S,w,T,k,u,f,h,p,d,m,g,v))}}return i.precision=function(t){return arguments.length?(n=(e=t*t)>0&&16,i):Math.sqrt(e)},i}function An(t){var e=Mn((function(e,r){return t([e*Pt,r*Pt])}));return function(t){return Pn(e(t))}}function Sn(t){this.stream=t}function En(t,e){return{point:e,sphere:function(){t.sphere()},lineStart:function(){t.lineStart()},lineEnd:function(){t.lineEnd()},polygonStart:function(){t.polygonStart()},polygonEnd:function(){t.polygonEnd()}}}function Ln(t){return Cn((function(){return t}))()}function Cn(e){var r,n,i,a,o,s,l=Mn((function(t,e){return[(t=r(t,e))[0]*c+a,o-t[1]*c]})),c=150,u=480,f=250,h=0,p=0,d=0,m=0,g=0,v=tn,y=C,x=null,b=null;function _(t){return[(t=i(t[0]*Ct,t[1]*Ct))[0]*c+a,o-t[1]*c]}function w(t){return(t=i.invert((t[0]-a)/c,(o-t[1])/c))&&[t[0]*Pt,t[1]*Pt]}function T(){i=Gr(n=zn(d,m,g),r);var t=r(h,p);return a=u-t[0]*c,o=f+t[1]*c,k()}function k(){return s&&(s.valid=!1,s=null),_}return _.stream=function(t){return s&&(s.valid=!1),(s=Pn(v(n,l(y(t))))).valid=!0,s},_.clipAngle=function(t){return arguments.length?(v=null==t?(x=t,tn):en((x=+t)*Ct),k()):x},_.clipExtent=function(t){return arguments.length?(b=t,y=t?nn(t[0][0],t[0][1],t[1][0],t[1][1]):C,k()):b},_.scale=function(t){return arguments.length?(c=+t,T()):c},_.translate=function(t){return arguments.length?(u=+t[0],f=+t[1],T()):[u,f]},_.center=function(t){return arguments.length?(h=t[0]%360*Ct,p=t[1]%360*Ct,T()):[h*Pt,p*Pt]},_.rotate=function(t){return arguments.length?(d=t[0]%360*Ct,m=t[1]%360*Ct,g=t.length>2?t[2]%360*Ct:0,T()):[d*Pt,m*Pt,g*Pt]},t.rebind(_,l,\"precision\"),function(){return r=e.apply(this,arguments),_.invert=r.invert&&w,T()}}function Pn(t){return En(t,(function(e,r){t.point(e*Ct,r*Ct)}))}function In(t,e){return[t,e]}function On(t,e){return[t>At?t-St:t<-At?t+St:t,e]}function zn(t,e,r){return t?e||r?Gr(Rn(t),Fn(e,r)):Rn(t):e||r?Fn(e,r):On}function Dn(t){return function(e,r){return[(e+=t)>At?e-St:e<-At?e+St:e,r]}}function Rn(t){var e=Dn(t);return e.invert=Dn(-t),e}function Fn(t,e){var r=Math.cos(t),n=Math.sin(t),i=Math.cos(e),a=Math.sin(e);function o(t,e){var o=Math.cos(e),s=Math.cos(t)*o,l=Math.sin(t)*o,c=Math.sin(e),u=c*r+s*n;return[Math.atan2(l*i-u*a,s*r-c*n),Dt(u*i+l*a)]}return o.invert=function(t,e){var o=Math.cos(e),s=Math.cos(t)*o,l=Math.sin(t)*o,c=Math.sin(e),u=c*i-l*a;return[Math.atan2(l*i+c*a,s*r+u*n),Dt(u*r-s*n)]},o}function Bn(t,e){var r=Math.cos(t),n=Math.sin(t);return function(i,a,o,s){var l=o*e;null!=i?(i=Nn(r,i),a=Nn(r,a),(o>0?i<a:i>a)&&(i+=o*St)):(i=t+o*St,a=t-.5*l);for(var c,u=i;o>0?u>a:u<a;u-=l)s.point((c=Fr([r,-n*Math.cos(u),-n*Math.sin(u)]))[0],c[1])}}function Nn(t,e){var r=Pr(e);r[0]-=t,Rr(r);var n=zt(-r[1]);return((-r[2]<0?-n:n)+2*Math.PI-kt)%(2*Math.PI)}function jn(e,r,n){var i=t.range(e,r-kt,n).concat(r);return function(t){return i.map((function(e){return[t,e]}))}}function Un(e,r,n){var i=t.range(e,r-kt,n).concat(r);return function(t){return i.map((function(e){return[e,t]}))}}function Vn(t){return t.source}function qn(t){return t.target}t.geo.path=function(){var e,r,n,i,a,o=4.5;function s(e){return e&&(\"function\"==typeof o&&i.pointRadius(+o.apply(this,arguments)),a&&a.valid||(a=n(i)),t.geo.stream(e,a)),i.result()}function l(){return a=null,s}return s.area=function(e){return sn=0,t.geo.stream(e,n(pn)),sn},s.centroid=function(e){return xr=br=_r=wr=Tr=kr=Mr=Ar=Sr=0,t.geo.stream(e,n(xn)),Sr?[Mr/Sr,Ar/Sr]:kr?[wr/kr,Tr/kr]:_r?[xr/_r,br/_r]:[NaN,NaN]},s.bounds=function(e){return fn=hn=-(cn=un=1/0),t.geo.stream(e,n(mn)),[[cn,un],[fn,hn]]},s.projection=function(t){return arguments.length?(n=(e=t)?t.stream||An(t):C,l()):e},s.context=function(t){return arguments.length?(i=null==(r=t)?new gn:new kn(t),\"function\"!=typeof o&&i.pointRadius(o),l()):r},s.pointRadius=function(t){return arguments.length?(o=\"function\"==typeof t?t:(i.pointRadius(+t),+t),s):o},s.projection(t.geo.albersUsa()).context(null)},t.geo.transform=function(t){return{stream:function(e){var r=new Sn(e);for(var n in t)r[n]=t[n];return r}}},Sn.prototype={point:function(t,e){this.stream.point(t,e)},sphere:function(){this.stream.sphere()},lineStart:function(){this.stream.lineStart()},lineEnd:function(){this.stream.lineEnd()},polygonStart:function(){this.stream.polygonStart()},polygonEnd:function(){this.stream.polygonEnd()}},t.geo.projection=Ln,t.geo.projectionMutator=Cn,(t.geo.equirectangular=function(){return Ln(In)}).raw=In.invert=In,t.geo.rotation=function(t){function e(e){return(e=t(e[0]*Ct,e[1]*Ct))[0]*=Pt,e[1]*=Pt,e}return t=zn(t[0]%360*Ct,t[1]*Ct,t.length>2?t[2]*Ct:0),e.invert=function(e){return(e=t.invert(e[0]*Ct,e[1]*Ct))[0]*=Pt,e[1]*=Pt,e},e},On.invert=In,t.geo.circle=function(){var t,e,r=[0,0],n=6;function i(){var t=\"function\"==typeof r?r.apply(this,arguments):r,n=zn(-t[0]*Ct,-t[1]*Ct,0).invert,i=[];return e(null,null,1,{point:function(t,e){i.push(t=n(t,e)),t[0]*=Pt,t[1]*=Pt}}),{type:\"Polygon\",coordinates:[i]}}return i.origin=function(t){return arguments.length?(r=t,i):r},i.angle=function(r){return arguments.length?(e=Bn((t=+r)*Ct,n*Ct),i):t},i.precision=function(r){return arguments.length?(e=Bn(t*Ct,(n=+r)*Ct),i):n},i.angle(90)},t.geo.distance=function(t,e){var r,n=(e[0]-t[0])*Ct,i=t[1]*Ct,a=e[1]*Ct,o=Math.sin(n),s=Math.cos(n),l=Math.sin(i),c=Math.cos(i),u=Math.sin(a),f=Math.cos(a);return Math.atan2(Math.sqrt((r=f*o)*r+(r=c*u-l*f*s)*r),l*u+c*f*s)},t.geo.graticule=function(){var e,r,n,i,a,o,s,l,c,u,f,h,p=10,d=p,m=90,g=360,v=2.5;function x(){return{type:\"MultiLineString\",coordinates:b()}}function b(){return t.range(Math.ceil(i/m)*m,n,m).map(f).concat(t.range(Math.ceil(l/g)*g,s,g).map(h)).concat(t.range(Math.ceil(r/p)*p,e,p).filter((function(t){return y(t%m)>kt})).map(c)).concat(t.range(Math.ceil(o/d)*d,a,d).filter((function(t){return y(t%g)>kt})).map(u))}return x.lines=function(){return b().map((function(t){return{type:\"LineString\",coordinates:t}}))},x.outline=function(){return{type:\"Polygon\",coordinates:[f(i).concat(h(s).slice(1),f(n).reverse().slice(1),h(l).reverse().slice(1))]}},x.extent=function(t){return arguments.length?x.majorExtent(t).minorExtent(t):x.minorExtent()},x.majorExtent=function(t){return arguments.length?(i=+t[0][0],n=+t[1][0],l=+t[0][1],s=+t[1][1],i>n&&(t=i,i=n,n=t),l>s&&(t=l,l=s,s=t),x.precision(v)):[[i,l],[n,s]]},x.minorExtent=function(t){return arguments.length?(r=+t[0][0],e=+t[1][0],o=+t[0][1],a=+t[1][1],r>e&&(t=r,r=e,e=t),o>a&&(t=o,o=a,a=t),x.precision(v)):[[r,o],[e,a]]},x.step=function(t){return arguments.length?x.majorStep(t).minorStep(t):x.minorStep()},x.majorStep=function(t){return arguments.length?(m=+t[0],g=+t[1],x):[m,g]},x.minorStep=function(t){return arguments.length?(p=+t[0],d=+t[1],x):[p,d]},x.precision=function(t){return arguments.length?(v=+t,c=jn(o,a,90),u=Un(r,e,v),f=jn(l,s,90),h=Un(i,n,v),x):v},x.majorExtent([[-180,-90+kt],[180,90-kt]]).minorExtent([[-180,-80-kt],[180,80+kt]])},t.geo.greatArc=function(){var e,r,n=Vn,i=qn;function a(){return{type:\"LineString\",coordinates:[e||n.apply(this,arguments),r||i.apply(this,arguments)]}}return a.distance=function(){return t.geo.distance(e||n.apply(this,arguments),r||i.apply(this,arguments))},a.source=function(t){return arguments.length?(n=t,e=\"function\"==typeof t?null:t,a):n},a.target=function(t){return arguments.length?(i=t,r=\"function\"==typeof t?null:t,a):i},a.precision=function(){return arguments.length?a:0},a},t.geo.interpolate=function(t,e){return r=t[0]*Ct,n=t[1]*Ct,i=e[0]*Ct,a=e[1]*Ct,o=Math.cos(n),s=Math.sin(n),l=Math.cos(a),c=Math.sin(a),u=o*Math.cos(r),f=o*Math.sin(r),h=l*Math.cos(i),p=l*Math.sin(i),d=2*Math.asin(Math.sqrt(Ft(a-n)+o*l*Ft(i-r))),m=1/Math.sin(d),(g=d?function(t){var e=Math.sin(t*=d)*m,r=Math.sin(d-t)*m,n=r*u+e*h,i=r*f+e*p,a=r*s+e*c;return[Math.atan2(i,n)*Pt,Math.atan2(a,Math.sqrt(n*n+i*i))*Pt]}:function(){return[r*Pt,n*Pt]}).distance=d,g;var r,n,i,a,o,s,l,c,u,f,h,p,d,m,g},t.geo.length=function(e){return yn=0,t.geo.stream(e,Hn),yn};var Hn={sphere:z,point:z,lineStart:function(){var t,e,r;function n(n,i){var a=Math.sin(i*=Ct),o=Math.cos(i),s=y((n*=Ct)-t),l=Math.cos(s);yn+=Math.atan2(Math.sqrt((s=o*Math.sin(s))*s+(s=r*a-e*o*l)*s),e*a+r*o*l),t=n,e=a,r=o}Hn.point=function(i,a){t=i*Ct,e=Math.sin(a*=Ct),r=Math.cos(a),Hn.point=n},Hn.lineEnd=function(){Hn.point=Hn.lineEnd=z}},lineEnd:z,polygonStart:z,polygonEnd:z};function Gn(t,e){function r(e,r){var n=Math.cos(e),i=Math.cos(r),a=t(n*i);return[a*i*Math.sin(e),a*Math.sin(r)]}return r.invert=function(t,r){var n=Math.sqrt(t*t+r*r),i=e(n),a=Math.sin(i),o=Math.cos(i);return[Math.atan2(t*a,n*o),Math.asin(n&&r*a/n)]},r}var Yn=Gn((function(t){return Math.sqrt(2/(1+t))}),(function(t){return 2*Math.asin(t/2)}));(t.geo.azimuthalEqualArea=function(){return Ln(Yn)}).raw=Yn;var Wn=Gn((function(t){var e=Math.acos(t);return e&&e/Math.sin(e)}),C);function Xn(t,e){var r=Math.cos(t),n=function(t){return Math.tan(At/4+t/2)},i=t===e?Math.sin(t):Math.log(r/Math.cos(e))/Math.log(n(e)/n(t)),a=r*Math.pow(n(t),i)/i;if(!i)return Kn;function o(t,e){a>0?e<-Lt+kt&&(e=-Lt+kt):e>Lt-kt&&(e=Lt-kt);var r=a/Math.pow(n(e),i);return[r*Math.sin(i*t),a-r*Math.cos(i*t)]}return o.invert=function(t,e){var r=a-e,n=It(i)*Math.sqrt(t*t+r*r);return[Math.atan2(t,r)/i,2*Math.atan(Math.pow(a/n,1/i))-Lt]},o}function Zn(t,e){var r=Math.cos(t),n=t===e?Math.sin(t):(r-Math.cos(e))/(e-t),i=r/n+t;if(y(n)<kt)return In;function a(t,e){var r=i-e;return[r*Math.sin(n*t),i-r*Math.cos(n*t)]}return a.invert=function(t,e){var r=i-e;return[Math.atan2(t,r)/n,i-It(n)*Math.sqrt(t*t+r*r)]},a}(t.geo.azimuthalEquidistant=function(){return Ln(Wn)}).raw=Wn,(t.geo.conicConformal=function(){return an(Xn)}).raw=Xn,(t.geo.conicEquidistant=function(){return an(Zn)}).raw=Zn;var Jn=Gn((function(t){return 1/t}),Math.atan);function Kn(t,e){return[t,Math.log(Math.tan(At/4+e/2))]}function Qn(t){var e,r=Ln(t),n=r.scale,i=r.translate,a=r.clipExtent;return r.scale=function(){var t=n.apply(r,arguments);return t===r?e?r.clipExtent(null):r:t},r.translate=function(){var t=i.apply(r,arguments);return t===r?e?r.clipExtent(null):r:t},r.clipExtent=function(t){var o=a.apply(r,arguments);if(o===r){if(e=null==t){var s=At*n(),l=i();a([[l[0]-s,l[1]-s],[l[0]+s,l[1]+s]])}}else e&&(o=null);return o},r.clipExtent(null)}(t.geo.gnomonic=function(){return Ln(Jn)}).raw=Jn,Kn.invert=function(t,e){return[t,2*Math.atan(Math.exp(e))-Lt]},(t.geo.mercator=function(){return Qn(Kn)}).raw=Kn;var $n=Gn((function(){return 1}),Math.asin);(t.geo.orthographic=function(){return Ln($n)}).raw=$n;var ti=Gn((function(t){return 1/(1+t)}),(function(t){return 2*Math.atan(t)}));function ei(t,e){return[Math.log(Math.tan(At/4+e/2)),-t]}function ri(t){return t[0]}function ni(t){return t[1]}function ii(t){for(var e=t.length,r=[0,1],n=2,i=2;i<e;i++){for(;n>1&&Ot(t[r[n-2]],t[r[n-1]],t[i])<=0;)--n;r[n++]=i}return r.slice(0,n)}function ai(t,e){return t[0]-e[0]||t[1]-e[1]}(t.geo.stereographic=function(){return Ln(ti)}).raw=ti,ei.invert=function(t,e){return[-e,2*Math.atan(Math.exp(t))-Lt]},(t.geo.transverseMercator=function(){var t=Qn(ei),e=t.center,r=t.rotate;return t.center=function(t){return t?e([-t[1],t[0]]):[(t=e())[1],-t[0]]},t.rotate=function(t){return t?r([t[0],t[1],t.length>2?t[2]+90:90]):[(t=r())[0],t[1],t[2]-90]},r([0,0,90])}).raw=ei,t.geom={},t.geom.hull=function(t){var e=ri,r=ni;if(arguments.length)return n(t);function n(t){if(t.length<3)return[];var n,i=de(e),a=de(r),o=t.length,s=[],l=[];for(n=0;n<o;n++)s.push([+i.call(this,t[n],n),+a.call(this,t[n],n),n]);for(s.sort(ai),n=0;n<o;n++)l.push([s[n][0],-s[n][1]]);var c=ii(s),u=ii(l),f=u[0]===c[0],h=u[u.length-1]===c[c.length-1],p=[];for(n=c.length-1;n>=0;--n)p.push(t[s[c[n]][2]]);for(n=+f;n<u.length-h;++n)p.push(t[s[u[n]][2]]);return p}return n.x=function(t){return arguments.length?(e=t,n):e},n.y=function(t){return arguments.length?(r=t,n):r},n},t.geom.polygon=function(t){return U(t,oi),t};var oi=t.geom.polygon.prototype=[];function si(t,e,r){return(r[0]-e[0])*(t[1]-e[1])<(r[1]-e[1])*(t[0]-e[0])}function li(t,e,r,n){var i=t[0],a=r[0],o=e[0]-i,s=n[0]-a,l=t[1],c=r[1],u=e[1]-l,f=n[1]-c,h=(s*(l-c)-f*(i-a))/(f*o-s*u);return[i+h*o,l+h*u]}function ci(t){var e=t[0],r=t[t.length-1];return!(e[0]-r[0]||e[1]-r[1])}oi.area=function(){for(var t,e=-1,r=this.length,n=this[r-1],i=0;++e<r;)t=n,n=this[e],i+=t[1]*n[0]-t[0]*n[1];return.5*i},oi.centroid=function(t){var e,r,n=-1,i=this.length,a=0,o=0,s=this[i-1];for(arguments.length||(t=-1/(6*this.area()));++n<i;)e=s,s=this[n],r=e[0]*s[1]-s[0]*e[1],a+=(e[0]+s[0])*r,o+=(e[1]+s[1])*r;return[a*t,o*t]},oi.clip=function(t){for(var e,r,n,i,a,o,s=ci(t),l=-1,c=this.length-ci(this),u=this[c-1];++l<c;){for(e=t.slice(),t.length=0,i=this[l],a=e[(n=e.length-s)-1],r=-1;++r<n;)si(o=e[r],u,i)?(si(a,u,i)||t.push(li(a,o,u,i)),t.push(o)):si(a,u,i)&&t.push(li(a,o,u,i)),a=o;s&&t.push(t[0]),u=i}return t};var ui,fi,hi,pi,di,mi=[],gi=[];function vi(){Ri(this),this.edge=this.site=this.circle=null}function yi(t){var e=mi.pop()||new vi;return e.site=t,e}function xi(t){Ei(t),hi.remove(t),mi.push(t),Ri(t)}function bi(t){var e=t.circle,r=e.x,n=e.cy,i={x:r,y:n},a=t.P,o=t.N,s=[t];xi(t);for(var l=a;l.circle&&y(r-l.circle.x)<kt&&y(n-l.circle.cy)<kt;)a=l.P,s.unshift(l),xi(l),l=a;s.unshift(l),Ei(l);for(var c=o;c.circle&&y(r-c.circle.x)<kt&&y(n-c.circle.cy)<kt;)o=c.N,s.push(c),xi(c),c=o;s.push(c),Ei(c);var u,f=s.length;for(u=1;u<f;++u)c=s[u],l=s[u-1],Oi(c.edge,l.site,c.site,i);l=s[0],(c=s[f-1]).edge=Pi(l.site,c.site,null,i),Si(l),Si(c)}function _i(t){for(var e,r,n,i,a=t.x,o=t.y,s=hi._;s;)if((n=wi(s,o)-a)>kt)s=s.L;else{if(!((i=a-Ti(s,o))>kt)){n>-kt?(e=s.P,r=s):i>-kt?(e=s,r=s.N):e=r=s;break}if(!s.R){e=s;break}s=s.R}var l=yi(t);if(hi.insert(e,l),e||r){if(e===r)return Ei(e),r=yi(e.site),hi.insert(l,r),l.edge=r.edge=Pi(e.site,l.site),Si(e),void Si(r);if(r){Ei(e),Ei(r);var c=e.site,u=c.x,f=c.y,h=t.x-u,p=t.y-f,d=r.site,m=d.x-u,g=d.y-f,v=2*(h*g-p*m),y=h*h+p*p,x=m*m+g*g,b={x:(g*y-p*x)/v+u,y:(h*x-m*y)/v+f};Oi(r.edge,c,d,b),l.edge=Pi(c,t,null,b),r.edge=Pi(t,d,null,b),Si(e),Si(r)}else l.edge=Pi(e.site,l.site)}}function wi(t,e){var r=t.site,n=r.x,i=r.y,a=i-e;if(!a)return n;var o=t.P;if(!o)return-1/0;var s=(r=o.site).x,l=r.y,c=l-e;if(!c)return s;var u=s-n,f=1/a-1/c,h=u/c;return f?(-h+Math.sqrt(h*h-2*f*(u*u/(-2*c)-l+c/2+i-a/2)))/f+n:(n+s)/2}function Ti(t,e){var r=t.N;if(r)return wi(r,e);var n=t.site;return n.y===e?n.x:1/0}function ki(t){this.site=t,this.edges=[]}function Mi(t,e){return e.angle-t.angle}function Ai(){Ri(this),this.x=this.y=this.arc=this.site=this.cy=null}function Si(t){var e=t.P,r=t.N;if(e&&r){var n=e.site,i=t.site,a=r.site;if(n!==a){var o=i.x,s=i.y,l=n.x-o,c=n.y-s,u=a.x-o,f=2*(l*(g=a.y-s)-c*u);if(!(f>=-Mt)){var h=l*l+c*c,p=u*u+g*g,d=(g*h-c*p)/f,m=(l*p-u*h)/f,g=m+s,v=gi.pop()||new Ai;v.arc=t,v.site=i,v.x=d+o,v.y=g+Math.sqrt(d*d+m*m),v.cy=g,t.circle=v;for(var y=null,x=di._;x;)if(v.y<x.y||v.y===x.y&&v.x<=x.x){if(!x.L){y=x.P;break}x=x.L}else{if(!x.R){y=x;break}x=x.R}di.insert(y,v),y||(pi=v)}}}}function Ei(t){var e=t.circle;e&&(e.P||(pi=e.N),di.remove(e),gi.push(e),Ri(e),t.circle=null)}function Li(t,e){var r=t.b;if(r)return!0;var n,i,a=t.a,o=e[0][0],s=e[1][0],l=e[0][1],c=e[1][1],u=t.l,f=t.r,h=u.x,p=u.y,d=f.x,m=f.y,g=(h+d)/2,v=(p+m)/2;if(m===p){if(g<o||g>=s)return;if(h>d){if(a){if(a.y>=c)return}else a={x:g,y:l};r={x:g,y:c}}else{if(a){if(a.y<l)return}else a={x:g,y:c};r={x:g,y:l}}}else if(i=v-(n=(h-d)/(m-p))*g,n<-1||n>1)if(h>d){if(a){if(a.y>=c)return}else a={x:(l-i)/n,y:l};r={x:(c-i)/n,y:c}}else{if(a){if(a.y<l)return}else a={x:(c-i)/n,y:c};r={x:(l-i)/n,y:l}}else if(p<m){if(a){if(a.x>=s)return}else a={x:o,y:n*o+i};r={x:s,y:n*s+i}}else{if(a){if(a.x<o)return}else a={x:s,y:n*s+i};r={x:o,y:n*o+i}}return t.a=a,t.b=r,!0}function Ci(t,e){this.l=t,this.r=e,this.a=this.b=null}function Pi(t,e,r,n){var i=new Ci(t,e);return ui.push(i),r&&Oi(i,t,e,r),n&&Oi(i,e,t,n),fi[t.i].edges.push(new zi(i,t,e)),fi[e.i].edges.push(new zi(i,e,t)),i}function Ii(t,e,r){var n=new Ci(t,null);return n.a=e,n.b=r,ui.push(n),n}function Oi(t,e,r,n){t.a||t.b?t.l===r?t.b=n:t.a=n:(t.a=n,t.l=e,t.r=r)}function zi(t,e,r){var n=t.a,i=t.b;this.edge=t,this.site=e,this.angle=r?Math.atan2(r.y-e.y,r.x-e.x):t.l===e?Math.atan2(i.x-n.x,n.y-i.y):Math.atan2(n.x-i.x,i.y-n.y)}function Di(){this._=null}function Ri(t){t.U=t.C=t.L=t.R=t.P=t.N=null}function Fi(t,e){var r=e,n=e.R,i=r.U;i?i.L===r?i.L=n:i.R=n:t._=n,n.U=i,r.U=n,r.R=n.L,r.R&&(r.R.U=r),n.L=r}function Bi(t,e){var r=e,n=e.L,i=r.U;i?i.L===r?i.L=n:i.R=n:t._=n,n.U=i,r.U=n,r.L=n.R,r.L&&(r.L.U=r),n.R=r}function Ni(t){for(;t.L;)t=t.L;return t}function ji(t,e){var r,n,i,a=t.sort(Ui).pop();for(ui=[],fi=new Array(t.length),hi=new Di,di=new Di;;)if(i=pi,a&&(!i||a.y<i.y||a.y===i.y&&a.x<i.x))a.x===r&&a.y===n||(fi[a.i]=new ki(a),_i(a),r=a.x,n=a.y),a=t.pop();else{if(!i)break;bi(i.arc)}e&&(function(t){for(var e,r=ui,n=rn(t[0][0],t[0][1],t[1][0],t[1][1]),i=r.length;i--;)(!Li(e=r[i],t)||!n(e)||y(e.a.x-e.b.x)<kt&&y(e.a.y-e.b.y)<kt)&&(e.a=e.b=null,r.splice(i,1))}(e),function(t){for(var e,r,n,i,a,o,s,l,c,u,f=t[0][0],h=t[1][0],p=t[0][1],d=t[1][1],m=fi,g=m.length;g--;)if((a=m[g])&&a.prepare())for(l=(s=a.edges).length,o=0;o<l;)n=(u=s[o].end()).x,i=u.y,e=(c=s[++o%l].start()).x,r=c.y,(y(n-e)>kt||y(i-r)>kt)&&(s.splice(o,0,new zi(Ii(a.site,u,y(n-f)<kt&&d-i>kt?{x:f,y:y(e-f)<kt?r:d}:y(i-d)<kt&&h-n>kt?{x:y(r-d)<kt?e:h,y:d}:y(n-h)<kt&&i-p>kt?{x:h,y:y(e-h)<kt?r:p}:y(i-p)<kt&&n-f>kt?{x:y(r-p)<kt?e:f,y:p}:null),a.site,null)),++l)}(e));var o={cells:fi,edges:ui};return hi=di=ui=fi=null,o}function Ui(t,e){return e.y-t.y||e.x-t.x}ki.prototype.prepare=function(){for(var t,e=this.edges,r=e.length;r--;)(t=e[r].edge).b&&t.a||e.splice(r,1);return e.sort(Mi),e.length},zi.prototype={start:function(){return this.edge.l===this.site?this.edge.a:this.edge.b},end:function(){return this.edge.l===this.site?this.edge.b:this.edge.a}},Di.prototype={insert:function(t,e){var r,n,i;if(t){if(e.P=t,e.N=t.N,t.N&&(t.N.P=e),t.N=e,t.R){for(t=t.R;t.L;)t=t.L;t.L=e}else t.R=e;r=t}else this._?(t=Ni(this._),e.P=null,e.N=t,t.P=t.L=e,r=t):(e.P=e.N=null,this._=e,r=null);for(e.L=e.R=null,e.U=r,e.C=!0,t=e;r&&r.C;)r===(n=r.U).L?(i=n.R)&&i.C?(r.C=i.C=!1,n.C=!0,t=n):(t===r.R&&(Fi(this,r),r=(t=r).U),r.C=!1,n.C=!0,Bi(this,n)):(i=n.L)&&i.C?(r.C=i.C=!1,n.C=!0,t=n):(t===r.L&&(Bi(this,r),r=(t=r).U),r.C=!1,n.C=!0,Fi(this,n)),r=t.U;this._.C=!1},remove:function(t){t.N&&(t.N.P=t.P),t.P&&(t.P.N=t.N),t.N=t.P=null;var e,r,n,i=t.U,a=t.L,o=t.R;if(r=a?o?Ni(o):a:o,i?i.L===t?i.L=r:i.R=r:this._=r,a&&o?(n=r.C,r.C=t.C,r.L=a,a.U=r,r!==o?(i=r.U,r.U=t.U,t=r.R,i.L=t,r.R=o,o.U=r):(r.U=i,i=r,t=r.R)):(n=t.C,t=r),t&&(t.U=i),!n)if(t&&t.C)t.C=!1;else{do{if(t===this._)break;if(t===i.L){if((e=i.R).C&&(e.C=!1,i.C=!0,Fi(this,i),e=i.R),e.L&&e.L.C||e.R&&e.R.C){e.R&&e.R.C||(e.L.C=!1,e.C=!0,Bi(this,e),e=i.R),e.C=i.C,i.C=e.R.C=!1,Fi(this,i),t=this._;break}}else if((e=i.L).C&&(e.C=!1,i.C=!0,Bi(this,i),e=i.L),e.L&&e.L.C||e.R&&e.R.C){e.L&&e.L.C||(e.R.C=!1,e.C=!0,Fi(this,e),e=i.L),e.C=i.C,i.C=e.L.C=!1,Bi(this,i),t=this._;break}e.C=!0,t=i,i=i.U}while(!t.C);t&&(t.C=!1)}}},t.geom.voronoi=function(t){var e=ri,r=ni,n=e,i=r,a=Vi;if(t)return o(t);function o(t){var e=new Array(t.length),r=a[0][0],n=a[0][1],i=a[1][0],o=a[1][1];return ji(s(t),a).cells.forEach((function(a,s){var l=a.edges,c=a.site;(e[s]=l.length?l.map((function(t){var e=t.start();return[e.x,e.y]})):c.x>=r&&c.x<=i&&c.y>=n&&c.y<=o?[[r,o],[i,o],[i,n],[r,n]]:[]).point=t[s]})),e}function s(t){return t.map((function(t,e){return{x:Math.round(n(t,e)/kt)*kt,y:Math.round(i(t,e)/kt)*kt,i:e}}))}return o.links=function(t){return ji(s(t)).edges.filter((function(t){return t.l&&t.r})).map((function(e){return{source:t[e.l.i],target:t[e.r.i]}}))},o.triangles=function(t){var e=[];return ji(s(t)).cells.forEach((function(r,n){for(var i,a,o,s,l=r.site,c=r.edges.sort(Mi),u=-1,f=c.length,h=c[f-1].edge,p=h.l===l?h.r:h.l;++u<f;)h,i=p,p=(h=c[u].edge).l===l?h.r:h.l,n<i.i&&n<p.i&&(o=i,s=p,((a=l).x-s.x)*(o.y-a.y)-(a.x-o.x)*(s.y-a.y)<0)&&e.push([t[n],t[i.i],t[p.i]])})),e},o.x=function(t){return arguments.length?(n=de(e=t),o):e},o.y=function(t){return arguments.length?(i=de(r=t),o):r},o.clipExtent=function(t){return arguments.length?(a=null==t?Vi:t,o):a===Vi?null:a},o.size=function(t){return arguments.length?o.clipExtent(t&&[[0,0],t]):a===Vi?null:a&&a[1]},o};var Vi=[[-1e6,-1e6],[1e6,1e6]];function qi(t){return t.x}function Hi(t){return t.y}function Gi(t,e,r,n,i,a){if(!t(e,r,n,i,a)){var o=.5*(r+i),s=.5*(n+a),l=e.nodes;l[0]&&Gi(t,l[0],r,n,o,s),l[1]&&Gi(t,l[1],o,n,i,s),l[2]&&Gi(t,l[2],r,s,o,a),l[3]&&Gi(t,l[3],o,s,i,a)}}function Yi(t,e,r,n,i,a,o){var s,l=1/0;return function t(c,u,f,h,p){if(!(u>a||f>o||h<n||p<i)){if(d=c.point){var d,m=e-c.x,g=r-c.y,v=m*m+g*g;if(v<l){var y=Math.sqrt(l=v);n=e-y,i=r-y,a=e+y,o=r+y,s=d}}for(var x=c.nodes,b=.5*(u+h),_=.5*(f+p),w=(r>=_)<<1|e>=b,T=w+4;w<T;++w)if(c=x[3&w])switch(3&w){case 0:t(c,u,f,b,_);break;case 1:t(c,b,f,h,_);break;case 2:t(c,u,_,b,p);break;case 3:t(c,b,_,h,p)}}}(t,n,i,a,o),s}function Wi(e,r){e=t.rgb(e),r=t.rgb(r);var n=e.r,i=e.g,a=e.b,o=r.r-n,s=r.g-i,l=r.b-a;return function(t){return\"#\"+se(Math.round(n+o*t))+se(Math.round(i+s*t))+se(Math.round(a+l*t))}}function Xi(t,e){var r,n={},i={};for(r in t)r in e?n[r]=$i(t[r],e[r]):i[r]=t[r];for(r in e)r in t||(i[r]=e[r]);return function(t){for(r in n)i[r]=n[r](t);return i}}function Zi(t,e){return t=+t,e=+e,function(r){return t*(1-r)+e*r}}function Ji(t,e){var r,n,i,a=Ki.lastIndex=Qi.lastIndex=0,o=-1,s=[],l=[];for(t+=\"\",e+=\"\";(r=Ki.exec(t))&&(n=Qi.exec(e));)(i=n.index)>a&&(i=e.slice(a,i),s[o]?s[o]+=i:s[++o]=i),(r=r[0])===(n=n[0])?s[o]?s[o]+=n:s[++o]=n:(s[++o]=null,l.push({i:o,x:Zi(r,n)})),a=Qi.lastIndex;return a<e.length&&(i=e.slice(a),s[o]?s[o]+=i:s[++o]=i),s.length<2?l[0]?(e=l[0].x,function(t){return e(t)+\"\"}):function(){return e}:(e=l.length,function(t){for(var r,n=0;n<e;++n)s[(r=l[n]).i]=r.x(t);return s.join(\"\")})}t.geom.delaunay=function(e){return t.geom.voronoi().triangles(e)},t.geom.quadtree=function(t,e,r,n,i){var a,o=ri,s=ni;if(a=arguments.length)return o=qi,s=Hi,3===a&&(i=r,n=e,r=e=0),l(t);function l(t){var l,c,u,f,h,p,d,m,g,v=de(o),x=de(s);if(null!=e)p=e,d=r,m=n,g=i;else if(m=g=-(p=d=1/0),c=[],u=[],h=t.length,a)for(f=0;f<h;++f)(l=t[f]).x<p&&(p=l.x),l.y<d&&(d=l.y),l.x>m&&(m=l.x),l.y>g&&(g=l.y),c.push(l.x),u.push(l.y);else for(f=0;f<h;++f){var b=+v(l=t[f],f),_=+x(l,f);b<p&&(p=b),_<d&&(d=_),b>m&&(m=b),_>g&&(g=_),c.push(b),u.push(_)}var w=m-p,T=g-d;function k(t,e,r,n,i,a,o,s){if(!isNaN(r)&&!isNaN(n))if(t.leaf){var l=t.x,c=t.y;if(null!=l)if(y(l-r)+y(c-n)<.01)M(t,e,r,n,i,a,o,s);else{var u=t.point;t.x=t.y=t.point=null,M(t,u,l,c,i,a,o,s),M(t,e,r,n,i,a,o,s)}else t.x=r,t.y=n,t.point=e}else M(t,e,r,n,i,a,o,s)}function M(t,e,r,n,i,a,o,s){var l=.5*(i+o),c=.5*(a+s),u=r>=l,f=n>=c,h=f<<1|u;t.leaf=!1,u?i=l:o=l,f?a=c:s=c,k(t=t.nodes[h]||(t.nodes[h]={leaf:!0,nodes:[],point:null,x:null,y:null}),e,r,n,i,a,o,s)}w>T?g=d+w:m=p+T;var A={leaf:!0,nodes:[],point:null,x:null,y:null,add:function(t){k(A,t,+v(t,++f),+x(t,f),p,d,m,g)},visit:function(t){Gi(t,A,p,d,m,g)},find:function(t){return Yi(A,t[0],t[1],p,d,m,g)}};if(f=-1,null==e){for(;++f<h;)k(A,t[f],c[f],u[f],p,d,m,g);--f}else t.forEach(A.add);return c=u=t=l=null,A}return l.x=function(t){return arguments.length?(o=t,l):o},l.y=function(t){return arguments.length?(s=t,l):s},l.extent=function(t){return arguments.length?(null==t?e=r=n=i=null:(e=+t[0][0],r=+t[0][1],n=+t[1][0],i=+t[1][1]),l):null==e?null:[[e,r],[n,i]]},l.size=function(t){return arguments.length?(null==t?e=r=n=i=null:(e=r=0,n=+t[0],i=+t[1]),l):null==e?null:[n-e,i-r]},l},t.interpolateRgb=Wi,t.interpolateObject=Xi,t.interpolateNumber=Zi,t.interpolateString=Ji;var Ki=/[-+]?(?:\\d+\\.?\\d*|\\.?\\d+)(?:[eE][-+]?\\d+)?/g,Qi=new RegExp(Ki.source,\"g\");function $i(e,r){for(var n,i=t.interpolators.length;--i>=0&&!(n=t.interpolators[i](e,r)););return n}function ta(t,e){var r,n=[],i=[],a=t.length,o=e.length,s=Math.min(t.length,e.length);for(r=0;r<s;++r)n.push($i(t[r],e[r]));for(;r<a;++r)i[r]=t[r];for(;r<o;++r)i[r]=e[r];return function(t){for(r=0;r<s;++r)i[r]=n[r](t);return i}}t.interpolate=$i,t.interpolators=[function(t,e){var r=typeof e;return(\"string\"===r?pe.has(e.toLowerCase())||/^(#|rgb\\(|hsl\\()/i.test(e)?Wi:Ji:e instanceof Vt?Wi:Array.isArray(e)?ta:\"object\"===r&&isNaN(e)?Xi:Zi)(t,e)}],t.interpolateArray=ta;var ea=function(){return C},ra=t.map({linear:ea,poly:function(t){return function(e){return Math.pow(e,t)}},quad:function(){return sa},cubic:function(){return la},sin:function(){return ua},exp:function(){return fa},circle:function(){return ha},elastic:function(t,e){var r;arguments.length<2&&(e=.45);arguments.length?r=e/St*Math.asin(1/t):(t=1,r=e/4);return function(n){return 1+t*Math.pow(2,-10*n)*Math.sin((n-r)*St/e)}},back:function(t){t||(t=1.70158);return function(e){return e*e*((t+1)*e-t)}},bounce:function(){return pa}}),na=t.map({in:C,out:aa,\"in-out\":oa,\"out-in\":function(t){return oa(aa(t))}});function ia(t){return function(e){return e<=0?0:e>=1?1:t(e)}}function aa(t){return function(e){return 1-t(1-e)}}function oa(t){return function(e){return.5*(e<.5?t(2*e):2-t(2-2*e))}}function sa(t){return t*t}function la(t){return t*t*t}function ca(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)}function ua(t){return 1-Math.cos(t*Lt)}function fa(t){return Math.pow(2,10*(t-1))}function ha(t){return 1-Math.sqrt(1-t*t)}function pa(t){return t<1/2.75?7.5625*t*t:t<2/2.75?7.5625*(t-=1.5/2.75)*t+.75:t<2.5/2.75?7.5625*(t-=2.25/2.75)*t+.9375:7.5625*(t-=2.625/2.75)*t+.984375}function da(t,e){return e-=t,function(r){return Math.round(t+e*r)}}function ma(t){var e,r,n,i=[t.a,t.b],a=[t.c,t.d],o=va(i),s=ga(i,a),l=va(((e=a)[0]+=(n=-s)*(r=i)[0],e[1]+=n*r[1],e))||0;i[0]*a[1]<a[0]*i[1]&&(i[0]*=-1,i[1]*=-1,o*=-1,s*=-1),this.rotate=(o?Math.atan2(i[1],i[0]):Math.atan2(-a[0],a[1]))*Pt,this.translate=[t.e,t.f],this.scale=[o,l],this.skew=l?Math.atan2(s,l)*Pt:0}function ga(t,e){return t[0]*e[0]+t[1]*e[1]}function va(t){var e=Math.sqrt(ga(t,t));return e&&(t[0]/=e,t[1]/=e),e}t.ease=function(t){var e=t.indexOf(\"-\"),n=e>=0?t.slice(0,e):t,i=e>=0?t.slice(e+1):\"in\";return n=ra.get(n)||ea,ia((i=na.get(i)||C)(n.apply(null,r.call(arguments,1))))},t.interpolateHcl=function(e,r){e=t.hcl(e),r=t.hcl(r);var n=e.h,i=e.c,a=e.l,o=r.h-n,s=r.c-i,l=r.l-a;isNaN(s)&&(s=0,i=isNaN(i)?r.c:i);isNaN(o)?(o=0,n=isNaN(n)?r.h:n):o>180?o-=360:o<-180&&(o+=360);return function(t){return Xt(n+o*t,i+s*t,a+l*t)+\"\"}},t.interpolateHsl=function(e,r){e=t.hsl(e),r=t.hsl(r);var n=e.h,i=e.s,a=e.l,o=r.h-n,s=r.s-i,l=r.l-a;isNaN(s)&&(s=0,i=isNaN(i)?r.s:i);isNaN(o)?(o=0,n=isNaN(n)?r.h:n):o>180?o-=360:o<-180&&(o+=360);return function(t){return Gt(n+o*t,i+s*t,a+l*t)+\"\"}},t.interpolateLab=function(e,r){e=t.lab(e),r=t.lab(r);var n=e.l,i=e.a,a=e.b,o=r.l-n,s=r.a-i,l=r.b-a;return function(t){return Qt(n+o*t,i+s*t,a+l*t)+\"\"}},t.interpolateRound=da,t.transform=function(e){var r=i.createElementNS(t.ns.prefix.svg,\"g\");return(t.transform=function(t){if(null!=t){r.setAttribute(\"transform\",t);var e=r.transform.baseVal.consolidate()}return new ma(e?e.matrix:ya)})(e)},ma.prototype.toString=function(){return\"translate(\"+this.translate+\")rotate(\"+this.rotate+\")skewX(\"+this.skew+\")scale(\"+this.scale+\")\"};var ya={a:1,b:0,c:0,d:1,e:0,f:0};function xa(t){return t.length?t.pop()+\",\":\"\"}function ba(e,r){var n=[],i=[];return e=t.transform(e),r=t.transform(r),function(t,e,r,n){if(t[0]!==e[0]||t[1]!==e[1]){var i=r.push(\"translate(\",null,\",\",null,\")\");n.push({i:i-4,x:Zi(t[0],e[0])},{i:i-2,x:Zi(t[1],e[1])})}else(e[0]||e[1])&&r.push(\"translate(\"+e+\")\")}(e.translate,r.translate,n,i),function(t,e,r,n){t!==e?(t-e>180?e+=360:e-t>180&&(t+=360),n.push({i:r.push(xa(r)+\"rotate(\",null,\")\")-2,x:Zi(t,e)})):e&&r.push(xa(r)+\"rotate(\"+e+\")\")}(e.rotate,r.rotate,n,i),function(t,e,r,n){t!==e?n.push({i:r.push(xa(r)+\"skewX(\",null,\")\")-2,x:Zi(t,e)}):e&&r.push(xa(r)+\"skewX(\"+e+\")\")}(e.skew,r.skew,n,i),function(t,e,r,n){if(t[0]!==e[0]||t[1]!==e[1]){var i=r.push(xa(r)+\"scale(\",null,\",\",null,\")\");n.push({i:i-4,x:Zi(t[0],e[0])},{i:i-2,x:Zi(t[1],e[1])})}else 1===e[0]&&1===e[1]||r.push(xa(r)+\"scale(\"+e+\")\")}(e.scale,r.scale,n,i),e=r=null,function(t){for(var e,r=-1,a=i.length;++r<a;)n[(e=i[r]).i]=e.x(t);return n.join(\"\")}}function _a(t,e){return e=(e-=t=+t)||1/e,function(r){return(r-t)/e}}function wa(t,e){return e=(e-=t=+t)||1/e,function(r){return Math.max(0,Math.min(1,(r-t)/e))}}function Ta(t){for(var e=t.source,r=t.target,n=function(t,e){if(t===e)return t;var r=ka(t),n=ka(e),i=r.pop(),a=n.pop(),o=null;for(;i===a;)o=i,i=r.pop(),a=n.pop();return o}(e,r),i=[e];e!==n;)e=e.parent,i.push(e);for(var a=i.length;r!==n;)i.splice(a,0,r),r=r.parent;return i}function ka(t){for(var e=[],r=t.parent;null!=r;)e.push(t),t=r,r=r.parent;return e.push(t),e}function Ma(t){t.fixed|=2}function Aa(t){t.fixed&=-7}function Sa(t){t.fixed|=4,t.px=t.x,t.py=t.y}function Ea(t){t.fixed&=-5}t.interpolateTransform=ba,t.layout={},t.layout.bundle=function(){return function(t){for(var e=[],r=-1,n=t.length;++r<n;)e.push(Ta(t[r]));return e}},t.layout.chord=function(){var e,r,n,i,a,o,s,l={},c=0;function u(){var l,u,h,p,d,m={},g=[],v=t.range(i),y=[];for(e=[],r=[],l=0,p=-1;++p<i;){for(u=0,d=-1;++d<i;)u+=n[p][d];g.push(u),y.push(t.range(i)),l+=u}for(a&&v.sort((function(t,e){return a(g[t],g[e])})),o&&y.forEach((function(t,e){t.sort((function(t,r){return o(n[e][t],n[e][r])}))})),l=(St-c*i)/l,u=0,p=-1;++p<i;){for(h=u,d=-1;++d<i;){var x=v[p],b=y[x][d],_=n[x][b],w=u,T=u+=_*l;m[x+\"-\"+b]={index:x,subindex:b,startAngle:w,endAngle:T,value:_}}r[x]={index:x,startAngle:h,endAngle:u,value:g[x]},u+=c}for(p=-1;++p<i;)for(d=p-1;++d<i;){var k=m[p+\"-\"+d],M=m[d+\"-\"+p];(k.value||M.value)&&e.push(k.value<M.value?{source:M,target:k}:{source:k,target:M})}s&&f()}function f(){e.sort((function(t,e){return s((t.source.value+t.target.value)/2,(e.source.value+e.target.value)/2)}))}return l.matrix=function(t){return arguments.length?(i=(n=t)&&n.length,e=r=null,l):n},l.padding=function(t){return arguments.length?(c=t,e=r=null,l):c},l.sortGroups=function(t){return arguments.length?(a=t,e=r=null,l):a},l.sortSubgroups=function(t){return arguments.length?(o=t,e=null,l):o},l.sortChords=function(t){return arguments.length?(s=t,e&&f(),l):s},l.chords=function(){return e||u(),e},l.groups=function(){return r||u(),r},l},t.layout.force=function(){var e,r,n,i,a,o,s={},l=t.dispatch(\"start\",\"tick\",\"end\"),c=[1,1],u=.9,f=La,h=Ca,p=-30,d=Pa,m=.1,g=.64,v=[],y=[];function x(t){return function(e,r,n,i){if(e.point!==t){var a=e.cx-t.x,o=e.cy-t.y,s=i-r,l=a*a+o*o;if(s*s/g<l){if(l<d){var c=e.charge/l;t.px-=a*c,t.py-=o*c}return!0}if(e.point&&l&&l<d){c=e.pointCharge/l;t.px-=a*c,t.py-=o*c}}return!e.charge}}function b(e){e.px=t.event.x,e.py=t.event.y,s.resume()}return s.tick=function(){if((n*=.99)<.005)return e=null,l.end({type:\"end\",alpha:n=0}),!0;var r,s,f,h,d,g,b,_,w,T=v.length,k=y.length;for(s=0;s<k;++s)h=(f=y[s]).source,(g=(_=(d=f.target).x-h.x)*_+(w=d.y-h.y)*w)&&(_*=g=n*a[s]*((g=Math.sqrt(g))-i[s])/g,w*=g,d.x-=_*(b=h.weight+d.weight?h.weight/(h.weight+d.weight):.5),d.y-=w*b,h.x+=_*(b=1-b),h.y+=w*b);if((b=n*m)&&(_=c[0]/2,w=c[1]/2,s=-1,b))for(;++s<T;)(f=v[s]).x+=(_-f.x)*b,f.y+=(w-f.y)*b;if(p)for(!function t(e,r,n){var i=0,a=0;if(e.charge=0,!e.leaf)for(var o,s=e.nodes,l=s.length,c=-1;++c<l;)null!=(o=s[c])&&(t(o,r,n),e.charge+=o.charge,i+=o.charge*o.cx,a+=o.charge*o.cy);if(e.point){e.leaf||(e.point.x+=Math.random()-.5,e.point.y+=Math.random()-.5);var u=r*n[e.point.index];e.charge+=e.pointCharge=u,i+=u*e.point.x,a+=u*e.point.y}e.cx=i/e.charge,e.cy=a/e.charge}(r=t.geom.quadtree(v),n,o),s=-1;++s<T;)(f=v[s]).fixed||r.visit(x(f));for(s=-1;++s<T;)(f=v[s]).fixed?(f.x=f.px,f.y=f.py):(f.x-=(f.px-(f.px=f.x))*u,f.y-=(f.py-(f.py=f.y))*u);l.tick({type:\"tick\",alpha:n})},s.nodes=function(t){return arguments.length?(v=t,s):v},s.links=function(t){return arguments.length?(y=t,s):y},s.size=function(t){return arguments.length?(c=t,s):c},s.linkDistance=function(t){return arguments.length?(f=\"function\"==typeof t?t:+t,s):f},s.distance=s.linkDistance,s.linkStrength=function(t){return arguments.length?(h=\"function\"==typeof t?t:+t,s):h},s.friction=function(t){return arguments.length?(u=+t,s):u},s.charge=function(t){return arguments.length?(p=\"function\"==typeof t?t:+t,s):p},s.chargeDistance=function(t){return arguments.length?(d=t*t,s):Math.sqrt(d)},s.gravity=function(t){return arguments.length?(m=+t,s):m},s.theta=function(t){return arguments.length?(g=t*t,s):Math.sqrt(g)},s.alpha=function(t){return arguments.length?(t=+t,n?t>0?n=t:(e.c=null,e.t=NaN,e=null,l.end({type:\"end\",alpha:n=0})):t>0&&(l.start({type:\"start\",alpha:n=t}),e=we(s.tick)),s):n},s.start=function(){var t,e,r,n=v.length,l=y.length,u=c[0],d=c[1];for(t=0;t<n;++t)(r=v[t]).index=t,r.weight=0;for(t=0;t<l;++t)\"number\"==typeof(r=y[t]).source&&(r.source=v[r.source]),\"number\"==typeof r.target&&(r.target=v[r.target]),++r.source.weight,++r.target.weight;for(t=0;t<n;++t)r=v[t],isNaN(r.x)&&(r.x=m(\"x\",u)),isNaN(r.y)&&(r.y=m(\"y\",d)),isNaN(r.px)&&(r.px=r.x),isNaN(r.py)&&(r.py=r.y);if(i=[],\"function\"==typeof f)for(t=0;t<l;++t)i[t]=+f.call(this,y[t],t);else for(t=0;t<l;++t)i[t]=f;if(a=[],\"function\"==typeof h)for(t=0;t<l;++t)a[t]=+h.call(this,y[t],t);else for(t=0;t<l;++t)a[t]=h;if(o=[],\"function\"==typeof p)for(t=0;t<n;++t)o[t]=+p.call(this,v[t],t);else for(t=0;t<n;++t)o[t]=p;function m(r,i){if(!e){for(e=new Array(n),c=0;c<n;++c)e[c]=[];for(c=0;c<l;++c){var a=y[c];e[a.source.index].push(a.target),e[a.target.index].push(a.source)}}for(var o,s=e[t],c=-1,u=s.length;++c<u;)if(!isNaN(o=s[c][r]))return o;return Math.random()*i}return s.resume()},s.resume=function(){return s.alpha(.1)},s.stop=function(){return s.alpha(0)},s.drag=function(){if(r||(r=t.behavior.drag().origin(C).on(\"dragstart.force\",Ma).on(\"drag.force\",b).on(\"dragend.force\",Aa)),!arguments.length)return r;this.on(\"mouseover.force\",Sa).on(\"mouseout.force\",Ea).call(r)},t.rebind(s,l,\"on\")};var La=20,Ca=1,Pa=1/0;function Ia(e,r){return t.rebind(e,r,\"sort\",\"children\",\"value\"),e.nodes=e,e.links=Ba,e}function Oa(t,e){for(var r=[t];null!=(t=r.pop());)if(e(t),(i=t.children)&&(n=i.length))for(var n,i;--n>=0;)r.push(i[n])}function za(t,e){for(var r=[t],n=[];null!=(t=r.pop());)if(n.push(t),(a=t.children)&&(i=a.length))for(var i,a,o=-1;++o<i;)r.push(a[o]);for(;null!=(t=n.pop());)e(t)}function Da(t){return t.children}function Ra(t){return t.value}function Fa(t,e){return e.value-t.value}function Ba(e){return t.merge(e.map((function(t){return(t.children||[]).map((function(e){return{source:t,target:e}}))})))}t.layout.hierarchy=function(){var t=Fa,e=Da,r=Ra;function n(i){var a,o=[i],s=[];for(i.depth=0;null!=(a=o.pop());)if(s.push(a),(c=e.call(n,a,a.depth))&&(l=c.length)){for(var l,c,u;--l>=0;)o.push(u=c[l]),u.parent=a,u.depth=a.depth+1;r&&(a.value=0),a.children=c}else r&&(a.value=+r.call(n,a,a.depth)||0),delete a.children;return za(i,(function(e){var n,i;t&&(n=e.children)&&n.sort(t),r&&(i=e.parent)&&(i.value+=e.value)})),s}return n.sort=function(e){return arguments.length?(t=e,n):t},n.children=function(t){return arguments.length?(e=t,n):e},n.value=function(t){return arguments.length?(r=t,n):r},n.revalue=function(t){return r&&(Oa(t,(function(t){t.children&&(t.value=0)})),za(t,(function(t){var e;t.children||(t.value=+r.call(n,t,t.depth)||0),(e=t.parent)&&(e.value+=t.value)}))),t},n},t.layout.partition=function(){var e=t.layout.hierarchy(),r=[1,1];function n(t,n){var i=e.call(this,t,n);return function t(e,r,n,i){var a=e.children;if(e.x=r,e.y=e.depth*i,e.dx=n,e.dy=i,a&&(o=a.length)){var o,s,l,c=-1;for(n=e.value?n/e.value:0;++c<o;)t(s=a[c],r,l=s.value*n,i),r+=l}}(i[0],0,r[0],r[1]/function t(e){var r=e.children,n=0;if(r&&(i=r.length))for(var i,a=-1;++a<i;)n=Math.max(n,t(r[a]));return 1+n}(i[0])),i}return n.size=function(t){return arguments.length?(r=t,n):r},Ia(n,e)},t.layout.pie=function(){var e=Number,r=Na,n=0,i=St,a=0;function o(s){var l,c=s.length,u=s.map((function(t,r){return+e.call(o,t,r)})),f=+(\"function\"==typeof n?n.apply(this,arguments):n),h=(\"function\"==typeof i?i.apply(this,arguments):i)-f,p=Math.min(Math.abs(h)/c,+(\"function\"==typeof a?a.apply(this,arguments):a)),d=p*(h<0?-1:1),m=t.sum(u),g=m?(h-c*d)/m:0,v=t.range(c),y=[];return null!=r&&v.sort(r===Na?function(t,e){return u[e]-u[t]}:function(t,e){return r(s[t],s[e])}),v.forEach((function(t){y[t]={data:s[t],value:l=u[t],startAngle:f,endAngle:f+=l*g+d,padAngle:p}})),y}return o.value=function(t){return arguments.length?(e=t,o):e},o.sort=function(t){return arguments.length?(r=t,o):r},o.startAngle=function(t){return arguments.length?(n=t,o):n},o.endAngle=function(t){return arguments.length?(i=t,o):i},o.padAngle=function(t){return arguments.length?(a=t,o):a},o};var Na={};function ja(t){return t.x}function Ua(t){return t.y}function Va(t,e,r){t.y0=e,t.y=r}t.layout.stack=function(){var e=C,r=Ga,n=Ya,i=Va,a=ja,o=Ua;function s(l,c){if(!(p=l.length))return l;var u=l.map((function(t,r){return e.call(s,t,r)})),f=u.map((function(t){return t.map((function(t,e){return[a.call(s,t,e),o.call(s,t,e)]}))})),h=r.call(s,f,c);u=t.permute(u,h),f=t.permute(f,h);var p,d,m,g,v=n.call(s,f,c),y=u[0].length;for(m=0;m<y;++m)for(i.call(s,u[0][m],g=v[m],f[0][m][1]),d=1;d<p;++d)i.call(s,u[d][m],g+=f[d-1][m][1],f[d][m][1]);return l}return s.values=function(t){return arguments.length?(e=t,s):e},s.order=function(t){return arguments.length?(r=\"function\"==typeof t?t:qa.get(t)||Ga,s):r},s.offset=function(t){return arguments.length?(n=\"function\"==typeof t?t:Ha.get(t)||Ya,s):n},s.x=function(t){return arguments.length?(a=t,s):a},s.y=function(t){return arguments.length?(o=t,s):o},s.out=function(t){return arguments.length?(i=t,s):i},s};var qa=t.map({\"inside-out\":function(e){var r,n,i=e.length,a=e.map(Wa),o=e.map(Xa),s=t.range(i).sort((function(t,e){return a[t]-a[e]})),l=0,c=0,u=[],f=[];for(r=0;r<i;++r)n=s[r],l<c?(l+=o[n],u.push(n)):(c+=o[n],f.push(n));return f.reverse().concat(u)},reverse:function(e){return t.range(e.length).reverse()},default:Ga}),Ha=t.map({silhouette:function(t){var e,r,n,i=t.length,a=t[0].length,o=[],s=0,l=[];for(r=0;r<a;++r){for(e=0,n=0;e<i;e++)n+=t[e][r][1];n>s&&(s=n),o.push(n)}for(r=0;r<a;++r)l[r]=(s-o[r])/2;return l},wiggle:function(t){var e,r,n,i,a,o,s,l,c,u=t.length,f=t[0],h=f.length,p=[];for(p[0]=l=c=0,r=1;r<h;++r){for(e=0,i=0;e<u;++e)i+=t[e][r][1];for(e=0,a=0,s=f[r][0]-f[r-1][0];e<u;++e){for(n=0,o=(t[e][r][1]-t[e][r-1][1])/(2*s);n<e;++n)o+=(t[n][r][1]-t[n][r-1][1])/s;a+=o*t[e][r][1]}p[r]=l-=i?a/i*s:0,l<c&&(c=l)}for(r=0;r<h;++r)p[r]-=c;return p},expand:function(t){var e,r,n,i=t.length,a=t[0].length,o=1/i,s=[];for(r=0;r<a;++r){for(e=0,n=0;e<i;e++)n+=t[e][r][1];if(n)for(e=0;e<i;e++)t[e][r][1]/=n;else for(e=0;e<i;e++)t[e][r][1]=o}for(r=0;r<a;++r)s[r]=0;return s},zero:Ya});function Ga(e){return t.range(e.length)}function Ya(t){for(var e=-1,r=t[0].length,n=[];++e<r;)n[e]=0;return n}function Wa(t){for(var e,r=1,n=0,i=t[0][1],a=t.length;r<a;++r)(e=t[r][1])>i&&(n=r,i=e);return n}function Xa(t){return t.reduce(Za,0)}function Za(t,e){return t+e[1]}function Ja(t,e){return Ka(t,Math.ceil(Math.log(e.length)/Math.LN2+1))}function Ka(t,e){for(var r=-1,n=+t[0],i=(t[1]-n)/e,a=[];++r<=e;)a[r]=i*r+n;return a}function Qa(e){return[t.min(e),t.max(e)]}function $a(t,e){return t.value-e.value}function to(t,e){var r=t._pack_next;t._pack_next=e,e._pack_prev=t,e._pack_next=r,r._pack_prev=e}function eo(t,e){t._pack_next=e,e._pack_prev=t}function ro(t,e){var r=e.x-t.x,n=e.y-t.y,i=t.r+e.r;return.999*i*i>r*r+n*n}function no(t){if((e=t.children)&&(l=e.length)){var e,r,n,i,a,o,s,l,c=1/0,u=-1/0,f=1/0,h=-1/0;if(e.forEach(io),(r=e[0]).x=-r.r,r.y=0,x(r),l>1&&((n=e[1]).x=n.r,n.y=0,x(n),l>2))for(oo(r,n,i=e[2]),x(i),to(r,i),r._pack_prev=i,to(i,n),n=r._pack_next,a=3;a<l;a++){oo(r,n,i=e[a]);var p=0,d=1,m=1;for(o=n._pack_next;o!==n;o=o._pack_next,d++)if(ro(o,i)){p=1;break}if(1==p)for(s=r._pack_prev;s!==o._pack_prev&&!ro(s,i);s=s._pack_prev,m++);p?(d<m||d==m&&n.r<r.r?eo(r,n=o):eo(r=s,n),a--):(to(r,i),n=i,x(i))}var g=(c+u)/2,v=(f+h)/2,y=0;for(a=0;a<l;a++)(i=e[a]).x-=g,i.y-=v,y=Math.max(y,i.r+Math.sqrt(i.x*i.x+i.y*i.y));t.r=y,e.forEach(ao)}function x(t){c=Math.min(t.x-t.r,c),u=Math.max(t.x+t.r,u),f=Math.min(t.y-t.r,f),h=Math.max(t.y+t.r,h)}}function io(t){t._pack_next=t._pack_prev=t}function ao(t){delete t._pack_next,delete t._pack_prev}function oo(t,e,r){var n=t.r+r.r,i=e.x-t.x,a=e.y-t.y;if(n&&(i||a)){var o=e.r+r.r,s=i*i+a*a,l=.5+((n*=n)-(o*=o))/(2*s),c=Math.sqrt(Math.max(0,2*o*(n+s)-(n-=s)*n-o*o))/(2*s);r.x=t.x+l*i+c*a,r.y=t.y+l*a-c*i}else r.x=t.x+n,r.y=t.y}function so(t,e){return t.parent==e.parent?1:2}function lo(t){var e=t.children;return e.length?e[0]:t.t}function co(t){var e,r=t.children;return(e=r.length)?r[e-1]:t.t}function uo(t,e,r){var n=r/(e.i-t.i);e.c-=n,e.s+=r,t.c+=n,e.z+=r,e.m+=r}function fo(t,e,r){return t.a.parent===e.parent?t.a:r}function ho(t){return{x:t.x,y:t.y,dx:t.dx,dy:t.dy}}function po(t,e){var r=t.x+e[3],n=t.y+e[0],i=t.dx-e[1]-e[3],a=t.dy-e[0]-e[2];return i<0&&(r+=i/2,i=0),a<0&&(n+=a/2,a=0),{x:r,y:n,dx:i,dy:a}}function mo(t){var e=t[0],r=t[t.length-1];return e<r?[e,r]:[r,e]}function go(t){return t.rangeExtent?t.rangeExtent():mo(t.range())}function vo(t,e,r,n){var i=r(t[0],t[1]),a=n(e[0],e[1]);return function(t){return a(i(t))}}function yo(t,e){var r,n=0,i=t.length-1,a=t[n],o=t[i];return o<a&&(r=n,n=i,i=r,r=a,a=o,o=r),t[n]=e.floor(a),t[i]=e.ceil(o),t}function xo(t){return t?{floor:function(e){return Math.floor(e/t)*t},ceil:function(e){return Math.ceil(e/t)*t}}:bo}t.layout.histogram=function(){var e=!0,r=Number,n=Qa,i=Ja;function a(a,o){for(var s,l,c=[],u=a.map(r,this),f=n.call(this,u,o),h=i.call(this,f,u,o),p=(o=-1,u.length),d=h.length-1,m=e?1:1/p;++o<d;)(s=c[o]=[]).dx=h[o+1]-(s.x=h[o]),s.y=0;if(d>0)for(o=-1;++o<p;)(l=u[o])>=f[0]&&l<=f[1]&&((s=c[t.bisect(h,l,1,d)-1]).y+=m,s.push(a[o]));return c}return a.value=function(t){return arguments.length?(r=t,a):r},a.range=function(t){return arguments.length?(n=de(t),a):n},a.bins=function(t){return arguments.length?(i=\"number\"==typeof t?function(e){return Ka(e,t)}:de(t),a):i},a.frequency=function(t){return arguments.length?(e=!!t,a):e},a},t.layout.pack=function(){var e,r=t.layout.hierarchy().sort($a),n=0,i=[1,1];function a(t,a){var o=r.call(this,t,a),s=o[0],l=i[0],c=i[1],u=null==e?Math.sqrt:\"function\"==typeof e?e:function(){return e};if(s.x=s.y=0,za(s,(function(t){t.r=+u(t.value)})),za(s,no),n){var f=n*(e?1:Math.max(2*s.r/l,2*s.r/c))/2;za(s,(function(t){t.r+=f})),za(s,no),za(s,(function(t){t.r-=f}))}return function t(e,r,n,i){var a=e.children;if(e.x=r+=i*e.x,e.y=n+=i*e.y,e.r*=i,a)for(var o=-1,s=a.length;++o<s;)t(a[o],r,n,i)}(s,l/2,c/2,e?1:1/Math.max(2*s.r/l,2*s.r/c)),o}return a.size=function(t){return arguments.length?(i=t,a):i},a.radius=function(t){return arguments.length?(e=null==t||\"function\"==typeof t?t:+t,a):e},a.padding=function(t){return arguments.length?(n=+t,a):n},Ia(a,r)},t.layout.tree=function(){var e=t.layout.hierarchy().sort(null).value(null),r=so,n=[1,1],i=null;function a(t,a){var c=e.call(this,t,a),u=c[0],f=function(t){var e,r={A:null,children:[t]},n=[r];for(;null!=(e=n.pop());)for(var i,a=e.children,o=0,s=a.length;o<s;++o)n.push((a[o]=i={_:a[o],parent:e,children:(i=a[o].children)&&i.slice()||[],A:null,a:null,z:0,m:0,c:0,s:0,t:null,i:o}).a=i);return r.children[0]}(u);if(za(f,o),f.parent.m=-f.z,Oa(f,s),i)Oa(u,l);else{var h=u,p=u,d=u;Oa(u,(function(t){t.x<h.x&&(h=t),t.x>p.x&&(p=t),t.depth>d.depth&&(d=t)}));var m=r(h,p)/2-h.x,g=n[0]/(p.x+r(p,h)/2+m),v=n[1]/(d.depth||1);Oa(u,(function(t){t.x=(t.x+m)*g,t.y=t.depth*v}))}return c}function o(t){var e=t.children,n=t.parent.children,i=t.i?n[t.i-1]:null;if(e.length){!function(t){var e,r=0,n=0,i=t.children,a=i.length;for(;--a>=0;)(e=i[a]).z+=r,e.m+=r,r+=e.s+(n+=e.c)}(t);var a=(e[0].z+e[e.length-1].z)/2;i?(t.z=i.z+r(t._,i._),t.m=t.z-a):t.z=a}else i&&(t.z=i.z+r(t._,i._));t.parent.A=function(t,e,n){if(e){for(var i,a=t,o=t,s=e,l=a.parent.children[0],c=a.m,u=o.m,f=s.m,h=l.m;s=co(s),a=lo(a),s&&a;)l=lo(l),(o=co(o)).a=t,(i=s.z+f-a.z-c+r(s._,a._))>0&&(uo(fo(s,t,n),t,i),c+=i,u+=i),f+=s.m,c+=a.m,h+=l.m,u+=o.m;s&&!co(o)&&(o.t=s,o.m+=f-u),a&&!lo(l)&&(l.t=a,l.m+=c-h,n=t)}return n}(t,i,t.parent.A||n[0])}function s(t){t._.x=t.z+t.parent.m,t.m+=t.parent.m}function l(t){t.x*=n[0],t.y=t.depth*n[1]}return a.separation=function(t){return arguments.length?(r=t,a):r},a.size=function(t){return arguments.length?(i=null==(n=t)?l:null,a):i?null:n},a.nodeSize=function(t){return arguments.length?(i=null==(n=t)?null:l,a):i?n:null},Ia(a,e)},t.layout.cluster=function(){var e=t.layout.hierarchy().sort(null).value(null),r=so,n=[1,1],i=!1;function a(a,o){var s,l=e.call(this,a,o),c=l[0],u=0;za(c,(function(e){var n=e.children;n&&n.length?(e.x=function(t){return t.reduce((function(t,e){return t+e.x}),0)/t.length}(n),e.y=function(e){return 1+t.max(e,(function(t){return t.y}))}(n)):(e.x=s?u+=r(e,s):0,e.y=0,s=e)}));var f=function t(e){var r=e.children;return r&&r.length?t(r[0]):e}(c),h=function t(e){var r,n=e.children;return n&&(r=n.length)?t(n[r-1]):e}(c),p=f.x-r(f,h)/2,d=h.x+r(h,f)/2;return za(c,i?function(t){t.x=(t.x-c.x)*n[0],t.y=(c.y-t.y)*n[1]}:function(t){t.x=(t.x-p)/(d-p)*n[0],t.y=(1-(c.y?t.y/c.y:1))*n[1]}),l}return a.separation=function(t){return arguments.length?(r=t,a):r},a.size=function(t){return arguments.length?(i=null==(n=t),a):i?null:n},a.nodeSize=function(t){return arguments.length?(i=null!=(n=t),a):i?n:null},Ia(a,e)},t.layout.treemap=function(){var e,r=t.layout.hierarchy(),n=Math.round,i=[1,1],a=null,o=ho,s=!1,l=\"squarify\",c=.5*(1+Math.sqrt(5));function u(t,e){for(var r,n,i=-1,a=t.length;++i<a;)n=(r=t[i]).value*(e<0?0:e),r.area=isNaN(n)||n<=0?0:n}function f(t){var e=t.children;if(e&&e.length){var r,n,i,a=o(t),s=[],c=e.slice(),h=1/0,m=\"slice\"===l?a.dx:\"dice\"===l?a.dy:\"slice-dice\"===l?1&t.depth?a.dy:a.dx:Math.min(a.dx,a.dy);for(u(c,a.dx*a.dy/t.value),s.area=0;(i=c.length)>0;)s.push(r=c[i-1]),s.area+=r.area,\"squarify\"!==l||(n=p(s,m))<=h?(c.pop(),h=n):(s.area-=s.pop().area,d(s,m,a,!1),m=Math.min(a.dx,a.dy),s.length=s.area=0,h=1/0);s.length&&(d(s,m,a,!0),s.length=s.area=0),e.forEach(f)}}function h(t){var e=t.children;if(e&&e.length){var r,n=o(t),i=e.slice(),a=[];for(u(i,n.dx*n.dy/t.value),a.area=0;r=i.pop();)a.push(r),a.area+=r.area,null!=r.z&&(d(a,r.z?n.dx:n.dy,n,!i.length),a.length=a.area=0);e.forEach(h)}}function p(t,e){for(var r,n=t.area,i=0,a=1/0,o=-1,s=t.length;++o<s;)(r=t[o].area)&&(r<a&&(a=r),r>i&&(i=r));return e*=e,(n*=n)?Math.max(e*i*c/n,n/(e*a*c)):1/0}function d(t,e,r,i){var a,o=-1,s=t.length,l=r.x,c=r.y,u=e?n(t.area/e):0;if(e==r.dx){for((i||u>r.dy)&&(u=r.dy);++o<s;)(a=t[o]).x=l,a.y=c,a.dy=u,l+=a.dx=Math.min(r.x+r.dx-l,u?n(a.area/u):0);a.z=!0,a.dx+=r.x+r.dx-l,r.y+=u,r.dy-=u}else{for((i||u>r.dx)&&(u=r.dx);++o<s;)(a=t[o]).x=l,a.y=c,a.dx=u,c+=a.dy=Math.min(r.y+r.dy-c,u?n(a.area/u):0);a.z=!1,a.dy+=r.y+r.dy-c,r.x+=u,r.dx-=u}}function m(t){var n=e||r(t),a=n[0];return a.x=a.y=0,a.value?(a.dx=i[0],a.dy=i[1]):a.dx=a.dy=0,e&&r.revalue(a),u([a],a.dx*a.dy/a.value),(e?h:f)(a),s&&(e=n),n}return m.size=function(t){return arguments.length?(i=t,m):i},m.padding=function(t){if(!arguments.length)return a;function e(e){var r=t.call(m,e,e.depth);return null==r?ho(e):po(e,\"number\"==typeof r?[r,r,r,r]:r)}function r(e){return po(e,t)}var n;return o=null==(a=t)?ho:\"function\"==(n=typeof t)?e:\"number\"===n?(t=[t,t,t,t],r):r,m},m.round=function(t){return arguments.length?(n=t?Math.round:Number,m):n!=Number},m.sticky=function(t){return arguments.length?(s=t,e=null,m):s},m.ratio=function(t){return arguments.length?(c=t,m):c},m.mode=function(t){return arguments.length?(l=t+\"\",m):l},Ia(m,r)},t.random={normal:function(t,e){var r=arguments.length;return r<2&&(e=1),r<1&&(t=0),function(){var r,n,i;do{i=(r=2*Math.random()-1)*r+(n=2*Math.random()-1)*n}while(!i||i>1);return t+e*r*Math.sqrt(-2*Math.log(i)/i)}},logNormal:function(){var e=t.random.normal.apply(t,arguments);return function(){return Math.exp(e())}},bates:function(e){var r=t.random.irwinHall(e);return function(){return r()/e}},irwinHall:function(t){return function(){for(var e=0,r=0;r<t;r++)e+=Math.random();return e}}},t.scale={};var bo={floor:C,ceil:C};function _o(e,r,n,i){var a=[],o=[],s=0,l=Math.min(e.length,r.length)-1;for(e[l]<e[0]&&(e=e.slice().reverse(),r=r.slice().reverse());++s<=l;)a.push(n(e[s-1],e[s])),o.push(i(r[s-1],r[s]));return function(r){var n=t.bisect(e,r,1,l)-1;return o[n](a[n](r))}}function wo(e,r){return t.rebind(e,r,\"range\",\"rangeRound\",\"interpolate\",\"clamp\")}function To(t,e){return yo(t,xo(ko(t,e)[2])),yo(t,xo(ko(t,e)[2])),t}function ko(t,e){null==e&&(e=10);var r=mo(t),n=r[1]-r[0],i=Math.pow(10,Math.floor(Math.log(n/e)/Math.LN10)),a=e/n*i;return a<=.15?i*=10:a<=.35?i*=5:a<=.75&&(i*=2),r[0]=Math.ceil(r[0]/i)*i,r[1]=Math.floor(r[1]/i)*i+.5*i,r[2]=i,r}function Mo(e,r){return t.range.apply(t,ko(e,r))}function Ao(e,r,n){var i=ko(e,r);if(n){var a=Le.exec(n);if(a.shift(),\"s\"===a[8]){var o=t.formatPrefix(Math.max(y(i[0]),y(i[1])));return a[7]||(a[7]=\".\"+Eo(o.scale(i[2]))),a[8]=\"f\",n=t.format(a.join(\"\")),function(t){return n(o.scale(t))+o.symbol}}a[7]||(a[7]=\".\"+function(t,e){var r=Eo(e[2]);return t in So?Math.abs(r-Eo(Math.max(y(e[0]),y(e[1]))))+ +(\"e\"!==t):r-2*(\"%\"===t)}(a[8],i)),n=a.join(\"\")}else n=\",.\"+Eo(i[2])+\"f\";return t.format(n)}t.scale.linear=function(){return function t(e,r,n,i){var a,o;function s(){var t=Math.min(e.length,r.length)>2?_o:vo,s=i?wa:_a;return a=t(e,r,s,n),o=t(r,e,s,$i),l}function l(t){return a(t)}return l.invert=function(t){return o(t)},l.domain=function(t){return arguments.length?(e=t.map(Number),s()):e},l.range=function(t){return arguments.length?(r=t,s()):r},l.rangeRound=function(t){return l.range(t).interpolate(da)},l.clamp=function(t){return arguments.length?(i=t,s()):i},l.interpolate=function(t){return arguments.length?(n=t,s()):n},l.ticks=function(t){return Mo(e,t)},l.tickFormat=function(t,r){return Ao(e,t,r)},l.nice=function(t){return To(e,t),s()},l.copy=function(){return t(e,r,n,i)},s()}([0,1],[0,1],$i,!1)};var So={s:1,g:1,p:1,r:1,e:1};function Eo(t){return-Math.floor(Math.log(t)/Math.LN10+.01)}t.scale.log=function(){return function e(r,n,i,a){function o(t){return(i?Math.log(t<0?0:t):-Math.log(t>0?0:-t))/Math.log(n)}function s(t){return i?Math.pow(n,t):-Math.pow(n,-t)}function l(t){return r(o(t))}return l.invert=function(t){return s(r.invert(t))},l.domain=function(t){return arguments.length?(i=t[0]>=0,r.domain((a=t.map(Number)).map(o)),l):a},l.base=function(t){return arguments.length?(n=+t,r.domain(a.map(o)),l):n},l.nice=function(){var t=yo(a.map(o),i?Math:Co);return r.domain(t),a=t.map(s),l},l.ticks=function(){var t=mo(a),e=[],r=t[0],l=t[1],c=Math.floor(o(r)),u=Math.ceil(o(l)),f=n%1?2:n;if(isFinite(u-c)){if(i){for(;c<u;c++)for(var h=1;h<f;h++)e.push(s(c)*h);e.push(s(c))}else for(e.push(s(c));c++<u;)for(h=f-1;h>0;h--)e.push(s(c)*h);for(c=0;e[c]<r;c++);for(u=e.length;e[u-1]>l;u--);e=e.slice(c,u)}return e},l.tickFormat=function(e,r){if(!arguments.length)return Lo;arguments.length<2?r=Lo:\"function\"!=typeof r&&(r=t.format(r));var i=Math.max(1,n*e/l.ticks().length);return function(t){var e=t/s(Math.round(o(t)));return e*n<n-.5&&(e*=n),e<=i?r(t):\"\"}},l.copy=function(){return e(r.copy(),n,i,a)},wo(l,r)}(t.scale.linear().domain([0,1]),10,!0,[1,10])};var Lo=t.format(\".0e\"),Co={floor:function(t){return-Math.ceil(-t)},ceil:function(t){return-Math.floor(-t)}};function Po(t){return function(e){return e<0?-Math.pow(-e,t):Math.pow(e,t)}}t.scale.pow=function(){return function t(e,r,n){var i=Po(r),a=Po(1/r);function o(t){return e(i(t))}return o.invert=function(t){return a(e.invert(t))},o.domain=function(t){return arguments.length?(e.domain((n=t.map(Number)).map(i)),o):n},o.ticks=function(t){return Mo(n,t)},o.tickFormat=function(t,e){return Ao(n,t,e)},o.nice=function(t){return o.domain(To(n,t))},o.exponent=function(t){return arguments.length?(i=Po(r=t),a=Po(1/r),e.domain(n.map(i)),o):r},o.copy=function(){return t(e.copy(),r,n)},wo(o,e)}(t.scale.linear(),1,[0,1])},t.scale.sqrt=function(){return t.scale.pow().exponent(.5)},t.scale.ordinal=function(){return function e(r,n){var i,a,o;function s(t){return a[((i.get(t)||(\"range\"===n.t?i.set(t,r.push(t)):NaN))-1)%a.length]}function l(e,n){return t.range(r.length).map((function(t){return e+n*t}))}return s.domain=function(t){if(!arguments.length)return r;r=[],i=new _;for(var e,a=-1,o=t.length;++a<o;)i.has(e=t[a])||i.set(e,r.push(e));return s[n.t].apply(s,n.a)},s.range=function(t){return arguments.length?(a=t,o=0,n={t:\"range\",a:arguments},s):a},s.rangePoints=function(t,e){arguments.length<2&&(e=0);var i=t[0],c=t[1],u=r.length<2?(i=(i+c)/2,0):(c-i)/(r.length-1+e);return a=l(i+u*e/2,u),o=0,n={t:\"rangePoints\",a:arguments},s},s.rangeRoundPoints=function(t,e){arguments.length<2&&(e=0);var i=t[0],c=t[1],u=r.length<2?(i=c=Math.round((i+c)/2),0):(c-i)/(r.length-1+e)|0;return a=l(i+Math.round(u*e/2+(c-i-(r.length-1+e)*u)/2),u),o=0,n={t:\"rangeRoundPoints\",a:arguments},s},s.rangeBands=function(t,e,i){arguments.length<2&&(e=0),arguments.length<3&&(i=e);var c=t[1]<t[0],u=t[c-0],f=t[1-c],h=(f-u)/(r.length-e+2*i);return a=l(u+h*i,h),c&&a.reverse(),o=h*(1-e),n={t:\"rangeBands\",a:arguments},s},s.rangeRoundBands=function(t,e,i){arguments.length<2&&(e=0),arguments.length<3&&(i=e);var c=t[1]<t[0],u=t[c-0],f=t[1-c],h=Math.floor((f-u)/(r.length-e+2*i));return a=l(u+Math.round((f-u-(r.length-e)*h)/2),h),c&&a.reverse(),o=Math.round(h*(1-e)),n={t:\"rangeRoundBands\",a:arguments},s},s.rangeBand=function(){return o},s.rangeExtent=function(){return mo(n.a[0])},s.copy=function(){return e(r,n)},s.domain(r)}([],{t:\"range\",a:[[]]})},t.scale.category10=function(){return t.scale.ordinal().range(Io)},t.scale.category20=function(){return t.scale.ordinal().range(Oo)},t.scale.category20b=function(){return t.scale.ordinal().range(zo)},t.scale.category20c=function(){return t.scale.ordinal().range(Do)};var Io=[2062260,16744206,2924588,14034728,9725885,9197131,14907330,8355711,12369186,1556175].map(ae),Oo=[2062260,11454440,16744206,16759672,2924588,10018698,14034728,16750742,9725885,12955861,9197131,12885140,14907330,16234194,8355711,13092807,12369186,14408589,1556175,10410725].map(ae),zo=[3750777,5395619,7040719,10264286,6519097,9216594,11915115,13556636,9202993,12426809,15186514,15190932,8666169,11356490,14049643,15177372,8077683,10834324,13528509,14589654].map(ae),Do=[3244733,7057110,10406625,13032431,15095053,16616764,16625259,16634018,3253076,7652470,10607003,13101504,7695281,10394312,12369372,14342891,6513507,9868950,12434877,14277081].map(ae);function Ro(){return 0}t.scale.quantile=function(){return function e(r,n){var i;function a(){var e=0,a=n.length;for(i=[];++e<a;)i[e-1]=t.quantile(r,e/a);return o}function o(e){if(!isNaN(e=+e))return n[t.bisect(i,e)]}return o.domain=function(t){return arguments.length?(r=t.map(p).filter(d).sort(h),a()):r},o.range=function(t){return arguments.length?(n=t,a()):n},o.quantiles=function(){return i},o.invertExtent=function(t){return(t=n.indexOf(t))<0?[NaN,NaN]:[t>0?i[t-1]:r[0],t<i.length?i[t]:r[r.length-1]]},o.copy=function(){return e(r,n)},a()}([],[])},t.scale.quantize=function(){return function t(e,r,n){var i,a;function o(t){return n[Math.max(0,Math.min(a,Math.floor(i*(t-e))))]}function s(){return i=n.length/(r-e),a=n.length-1,o}return o.domain=function(t){return arguments.length?(e=+t[0],r=+t[t.length-1],s()):[e,r]},o.range=function(t){return arguments.length?(n=t,s()):n},o.invertExtent=function(t){return[t=(t=n.indexOf(t))<0?NaN:t/i+e,t+1/i]},o.copy=function(){return t(e,r,n)},s()}(0,1,[0,1])},t.scale.threshold=function(){return function e(r,n){function i(e){if(e<=e)return n[t.bisect(r,e)]}return i.domain=function(t){return arguments.length?(r=t,i):r},i.range=function(t){return arguments.length?(n=t,i):n},i.invertExtent=function(t){return t=n.indexOf(t),[r[t-1],r[t]]},i.copy=function(){return e(r,n)},i}([.5],[0,1])},t.scale.identity=function(){return function t(e){function r(t){return+t}return r.invert=r,r.domain=r.range=function(t){return arguments.length?(e=t.map(r),r):e},r.ticks=function(t){return Mo(e,t)},r.tickFormat=function(t,r){return Ao(e,t,r)},r.copy=function(){return t(e)},r}([0,1])},t.svg={},t.svg.arc=function(){var t=Bo,e=No,r=Ro,n=Fo,i=jo,a=Uo,o=Vo;function s(){var s=Math.max(0,+t.apply(this,arguments)),c=Math.max(0,+e.apply(this,arguments)),u=i.apply(this,arguments)-Lt,f=a.apply(this,arguments)-Lt,h=Math.abs(f-u),p=u>f?0:1;if(c<s&&(d=c,c=s,s=d),h>=Et)return l(c,p)+(s?l(s,1-p):\"\")+\"Z\";var d,m,g,v,y,x,b,_,w,T,k,M,A=0,S=0,E=[];if((v=(+o.apply(this,arguments)||0)/2)&&(g=n===Fo?Math.sqrt(s*s+c*c):+n.apply(this,arguments),p||(S*=-1),c&&(S=Dt(g/c*Math.sin(v))),s&&(A=Dt(g/s*Math.sin(v)))),c){y=c*Math.cos(u+S),x=c*Math.sin(u+S),b=c*Math.cos(f-S),_=c*Math.sin(f-S);var L=Math.abs(f-u-2*S)<=At?0:1;if(S&&qo(y,x,b,_)===p^L){var C=(u+f)/2;y=c*Math.cos(C),x=c*Math.sin(C),b=_=null}}else y=x=0;if(s){w=s*Math.cos(f-A),T=s*Math.sin(f-A),k=s*Math.cos(u+A),M=s*Math.sin(u+A);var P=Math.abs(u-f+2*A)<=At?0:1;if(A&&qo(w,T,k,M)===1-p^P){var I=(u+f)/2;w=s*Math.cos(I),T=s*Math.sin(I),k=M=null}}else w=T=0;if(h>kt&&(d=Math.min(Math.abs(c-s)/2,+r.apply(this,arguments)))>.001){m=s<c^p?0:1;var O=d,z=d;if(h<At){var D=null==k?[w,T]:null==b?[y,x]:li([y,x],[k,M],[b,_],[w,T]),R=y-D[0],F=x-D[1],B=b-D[0],N=_-D[1],j=1/Math.sin(Math.acos((R*B+F*N)/(Math.sqrt(R*R+F*F)*Math.sqrt(B*B+N*N)))/2),U=Math.sqrt(D[0]*D[0]+D[1]*D[1]);z=Math.min(d,(s-U)/(j-1)),O=Math.min(d,(c-U)/(j+1))}if(null!=b){var V=Ho(null==k?[w,T]:[k,M],[y,x],c,O,p),q=Ho([b,_],[w,T],c,O,p);d===O?E.push(\"M\",V[0],\"A\",O,\",\",O,\" 0 0,\",m,\" \",V[1],\"A\",c,\",\",c,\" 0 \",1-p^qo(V[1][0],V[1][1],q[1][0],q[1][1]),\",\",p,\" \",q[1],\"A\",O,\",\",O,\" 0 0,\",m,\" \",q[0]):E.push(\"M\",V[0],\"A\",O,\",\",O,\" 0 1,\",m,\" \",q[0])}else E.push(\"M\",y,\",\",x);if(null!=k){var H=Ho([y,x],[k,M],s,-z,p),G=Ho([w,T],null==b?[y,x]:[b,_],s,-z,p);d===z?E.push(\"L\",G[0],\"A\",z,\",\",z,\" 0 0,\",m,\" \",G[1],\"A\",s,\",\",s,\" 0 \",p^qo(G[1][0],G[1][1],H[1][0],H[1][1]),\",\",1-p,\" \",H[1],\"A\",z,\",\",z,\" 0 0,\",m,\" \",H[0]):E.push(\"L\",G[0],\"A\",z,\",\",z,\" 0 0,\",m,\" \",H[0])}else E.push(\"L\",w,\",\",T)}else E.push(\"M\",y,\",\",x),null!=b&&E.push(\"A\",c,\",\",c,\" 0 \",L,\",\",p,\" \",b,\",\",_),E.push(\"L\",w,\",\",T),null!=k&&E.push(\"A\",s,\",\",s,\" 0 \",P,\",\",1-p,\" \",k,\",\",M);return E.push(\"Z\"),E.join(\"\")}function l(t,e){return\"M0,\"+t+\"A\"+t+\",\"+t+\" 0 1,\"+e+\" 0,\"+-t+\"A\"+t+\",\"+t+\" 0 1,\"+e+\" 0,\"+t}return s.innerRadius=function(e){return arguments.length?(t=de(e),s):t},s.outerRadius=function(t){return arguments.length?(e=de(t),s):e},s.cornerRadius=function(t){return arguments.length?(r=de(t),s):r},s.padRadius=function(t){return arguments.length?(n=t==Fo?Fo:de(t),s):n},s.startAngle=function(t){return arguments.length?(i=de(t),s):i},s.endAngle=function(t){return arguments.length?(a=de(t),s):a},s.padAngle=function(t){return arguments.length?(o=de(t),s):o},s.centroid=function(){var r=(+t.apply(this,arguments)+ +e.apply(this,arguments))/2,n=(+i.apply(this,arguments)+ +a.apply(this,arguments))/2-Lt;return[Math.cos(n)*r,Math.sin(n)*r]},s};var Fo=\"auto\";function Bo(t){return t.innerRadius}function No(t){return t.outerRadius}function jo(t){return t.startAngle}function Uo(t){return t.endAngle}function Vo(t){return t&&t.padAngle}function qo(t,e,r,n){return(t-r)*e-(e-n)*t>0?0:1}function Ho(t,e,r,n,i){var a=t[0]-e[0],o=t[1]-e[1],s=(i?n:-n)/Math.sqrt(a*a+o*o),l=s*o,c=-s*a,u=t[0]+l,f=t[1]+c,h=e[0]+l,p=e[1]+c,d=(u+h)/2,m=(f+p)/2,g=h-u,v=p-f,y=g*g+v*v,x=r-n,b=u*p-h*f,_=(v<0?-1:1)*Math.sqrt(Math.max(0,x*x*y-b*b)),w=(b*v-g*_)/y,T=(-b*g-v*_)/y,k=(b*v+g*_)/y,M=(-b*g+v*_)/y,A=w-d,S=T-m,E=k-d,L=M-m;return A*A+S*S>E*E+L*L&&(w=k,T=M),[[w-l,T-c],[w*r/x,T*r/x]]}function Go(t){var e=ri,r=ni,n=Yr,i=Wo,a=i.key,o=.7;function s(a){var s,l=[],c=[],u=-1,f=a.length,h=de(e),p=de(r);function d(){l.push(\"M\",i(t(c),o))}for(;++u<f;)n.call(this,s=a[u],u)?c.push([+h.call(this,s,u),+p.call(this,s,u)]):c.length&&(d(),c=[]);return c.length&&d(),l.length?l.join(\"\"):null}return s.x=function(t){return arguments.length?(e=t,s):e},s.y=function(t){return arguments.length?(r=t,s):r},s.defined=function(t){return arguments.length?(n=t,s):n},s.interpolate=function(t){return arguments.length?(a=\"function\"==typeof t?i=t:(i=Yo.get(t)||Wo).key,s):a},s.tension=function(t){return arguments.length?(o=t,s):o},s}t.svg.line=function(){return Go(C)};var Yo=t.map({linear:Wo,\"linear-closed\":Xo,step:function(t){var e=0,r=t.length,n=t[0],i=[n[0],\",\",n[1]];for(;++e<r;)i.push(\"H\",(n[0]+(n=t[e])[0])/2,\"V\",n[1]);r>1&&i.push(\"H\",n[0]);return i.join(\"\")},\"step-before\":Zo,\"step-after\":Jo,basis:$o,\"basis-open\":function(t){if(t.length<4)return Wo(t);var e,r=[],n=-1,i=t.length,a=[0],o=[0];for(;++n<3;)e=t[n],a.push(e[0]),o.push(e[1]);r.push(ts(ns,a)+\",\"+ts(ns,o)),--n;for(;++n<i;)e=t[n],a.shift(),a.push(e[0]),o.shift(),o.push(e[1]),is(r,a,o);return r.join(\"\")},\"basis-closed\":function(t){var e,r,n=-1,i=t.length,a=i+4,o=[],s=[];for(;++n<4;)r=t[n%i],o.push(r[0]),s.push(r[1]);e=[ts(ns,o),\",\",ts(ns,s)],--n;for(;++n<a;)r=t[n%i],o.shift(),o.push(r[0]),s.shift(),s.push(r[1]),is(e,o,s);return e.join(\"\")},bundle:function(t,e){var r=t.length-1;if(r)for(var n,i,a=t[0][0],o=t[0][1],s=t[r][0]-a,l=t[r][1]-o,c=-1;++c<=r;)n=t[c],i=c/r,n[0]=e*n[0]+(1-e)*(a+i*s),n[1]=e*n[1]+(1-e)*(o+i*l);return $o(t)},cardinal:function(t,e){return t.length<3?Wo(t):t[0]+Ko(t,Qo(t,e))},\"cardinal-open\":function(t,e){return t.length<4?Wo(t):t[1]+Ko(t.slice(1,-1),Qo(t,e))},\"cardinal-closed\":function(t,e){return t.length<3?Xo(t):t[0]+Ko((t.push(t[0]),t),Qo([t[t.length-2]].concat(t,[t[1]]),e))},monotone:function(t){return t.length<3?Wo(t):t[0]+Ko(t,function(t){var e,r,n,i,a=[],o=function(t){var e=0,r=t.length-1,n=[],i=t[0],a=t[1],o=n[0]=as(i,a);for(;++e<r;)n[e]=(o+(o=as(i=a,a=t[e+1])))/2;return n[e]=o,n}(t),s=-1,l=t.length-1;for(;++s<l;)e=as(t[s],t[s+1]),y(e)<kt?o[s]=o[s+1]=0:(r=o[s]/e,n=o[s+1]/e,(i=r*r+n*n)>9&&(i=3*e/Math.sqrt(i),o[s]=i*r,o[s+1]=i*n));s=-1;for(;++s<=l;)i=(t[Math.min(l,s+1)][0]-t[Math.max(0,s-1)][0])/(6*(1+o[s]*o[s])),a.push([i||0,o[s]*i||0]);return a}(t))}});function Wo(t){return t.length>1?t.join(\"L\"):t+\"Z\"}function Xo(t){return t.join(\"L\")+\"Z\"}function Zo(t){for(var e=0,r=t.length,n=t[0],i=[n[0],\",\",n[1]];++e<r;)i.push(\"V\",(n=t[e])[1],\"H\",n[0]);return i.join(\"\")}function Jo(t){for(var e=0,r=t.length,n=t[0],i=[n[0],\",\",n[1]];++e<r;)i.push(\"H\",(n=t[e])[0],\"V\",n[1]);return i.join(\"\")}function Ko(t,e){if(e.length<1||t.length!=e.length&&t.length!=e.length+2)return Wo(t);var r=t.length!=e.length,n=\"\",i=t[0],a=t[1],o=e[0],s=o,l=1;if(r&&(n+=\"Q\"+(a[0]-2*o[0]/3)+\",\"+(a[1]-2*o[1]/3)+\",\"+a[0]+\",\"+a[1],i=t[1],l=2),e.length>1){s=e[1],a=t[l],l++,n+=\"C\"+(i[0]+o[0])+\",\"+(i[1]+o[1])+\",\"+(a[0]-s[0])+\",\"+(a[1]-s[1])+\",\"+a[0]+\",\"+a[1];for(var c=2;c<e.length;c++,l++)a=t[l],s=e[c],n+=\"S\"+(a[0]-s[0])+\",\"+(a[1]-s[1])+\",\"+a[0]+\",\"+a[1]}if(r){var u=t[l];n+=\"Q\"+(a[0]+2*s[0]/3)+\",\"+(a[1]+2*s[1]/3)+\",\"+u[0]+\",\"+u[1]}return n}function Qo(t,e){for(var r,n=[],i=(1-e)/2,a=t[0],o=t[1],s=1,l=t.length;++s<l;)r=a,a=o,o=t[s],n.push([i*(o[0]-r[0]),i*(o[1]-r[1])]);return n}function $o(t){if(t.length<3)return Wo(t);var e=1,r=t.length,n=t[0],i=n[0],a=n[1],o=[i,i,i,(n=t[1])[0]],s=[a,a,a,n[1]],l=[i,\",\",a,\"L\",ts(ns,o),\",\",ts(ns,s)];for(t.push(t[r-1]);++e<=r;)n=t[e],o.shift(),o.push(n[0]),s.shift(),s.push(n[1]),is(l,o,s);return t.pop(),l.push(\"L\",n),l.join(\"\")}function ts(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]}Yo.forEach((function(t,e){e.key=t,e.closed=/-closed$/.test(t)}));var es=[0,2/3,1/3,0],rs=[0,1/3,2/3,0],ns=[0,1/6,2/3,1/6];function is(t,e,r){t.push(\"C\",ts(es,e),\",\",ts(es,r),\",\",ts(rs,e),\",\",ts(rs,r),\",\",ts(ns,e),\",\",ts(ns,r))}function as(t,e){return(e[1]-t[1])/(e[0]-t[0])}function os(t){for(var e,r,n,i=-1,a=t.length;++i<a;)r=(e=t[i])[0],n=e[1]-Lt,e[0]=r*Math.cos(n),e[1]=r*Math.sin(n);return t}function ss(t){var e=ri,r=ri,n=0,i=ni,a=Yr,o=Wo,s=o.key,l=o,c=\"L\",u=.7;function f(s){var f,h,p,d=[],m=[],g=[],v=-1,y=s.length,x=de(e),b=de(n),_=e===r?function(){return h}:de(r),w=n===i?function(){return p}:de(i);function T(){d.push(\"M\",o(t(g),u),c,l(t(m.reverse()),u),\"Z\")}for(;++v<y;)a.call(this,f=s[v],v)?(m.push([h=+x.call(this,f,v),p=+b.call(this,f,v)]),g.push([+_.call(this,f,v),+w.call(this,f,v)])):m.length&&(T(),m=[],g=[]);return m.length&&T(),d.length?d.join(\"\"):null}return f.x=function(t){return arguments.length?(e=r=t,f):r},f.x0=function(t){return arguments.length?(e=t,f):e},f.x1=function(t){return arguments.length?(r=t,f):r},f.y=function(t){return arguments.length?(n=i=t,f):i},f.y0=function(t){return arguments.length?(n=t,f):n},f.y1=function(t){return arguments.length?(i=t,f):i},f.defined=function(t){return arguments.length?(a=t,f):a},f.interpolate=function(t){return arguments.length?(s=\"function\"==typeof t?o=t:(o=Yo.get(t)||Wo).key,l=o.reverse||o,c=o.closed?\"M\":\"L\",f):s},f.tension=function(t){return arguments.length?(u=t,f):u},f}function ls(t){return t.radius}function cs(t){return[t.x,t.y]}function us(t){return function(){var e=t.apply(this,arguments),r=e[0],n=e[1]-Lt;return[r*Math.cos(n),r*Math.sin(n)]}}function fs(){return 64}function hs(){return\"circle\"}function ps(t){var e=Math.sqrt(t/At);return\"M0,\"+e+\"A\"+e+\",\"+e+\" 0 1,1 0,\"+-e+\"A\"+e+\",\"+e+\" 0 1,1 0,\"+e+\"Z\"}t.svg.line.radial=function(){var t=Go(os);return t.radius=t.x,delete t.x,t.angle=t.y,delete t.y,t},Zo.reverse=Jo,Jo.reverse=Zo,t.svg.area=function(){return ss(C)},t.svg.area.radial=function(){var t=ss(os);return t.radius=t.x,delete t.x,t.innerRadius=t.x0,delete t.x0,t.outerRadius=t.x1,delete t.x1,t.angle=t.y,delete t.y,t.startAngle=t.y0,delete t.y0,t.endAngle=t.y1,delete t.y1,t},t.svg.chord=function(){var t=Vn,e=qn,r=ls,n=jo,i=Uo;function a(r,n){var i,a,c=o(this,t,r,n),u=o(this,e,r,n);return\"M\"+c.p0+s(c.r,c.p1,c.a1-c.a0)+(a=u,((i=c).a0==a.a0&&i.a1==a.a1?l(c.r,c.p1,c.r,c.p0):l(c.r,c.p1,u.r,u.p0)+s(u.r,u.p1,u.a1-u.a0)+l(u.r,u.p1,c.r,c.p0))+\"Z\")}function o(t,e,a,o){var s=e.call(t,a,o),l=r.call(t,s,o),c=n.call(t,s,o)-Lt,u=i.call(t,s,o)-Lt;return{r:l,a0:c,a1:u,p0:[l*Math.cos(c),l*Math.sin(c)],p1:[l*Math.cos(u),l*Math.sin(u)]}}function s(t,e,r){return\"A\"+t+\",\"+t+\" 0 \"+ +(r>At)+\",1 \"+e}function l(t,e,r,n){return\"Q 0,0 \"+n}return a.radius=function(t){return arguments.length?(r=de(t),a):r},a.source=function(e){return arguments.length?(t=de(e),a):t},a.target=function(t){return arguments.length?(e=de(t),a):e},a.startAngle=function(t){return arguments.length?(n=de(t),a):n},a.endAngle=function(t){return arguments.length?(i=de(t),a):i},a},t.svg.diagonal=function(){var t=Vn,e=qn,r=cs;function n(n,i){var a=t.call(this,n,i),o=e.call(this,n,i),s=(a.y+o.y)/2,l=[a,{x:a.x,y:s},{x:o.x,y:s},o];return\"M\"+(l=l.map(r))[0]+\"C\"+l[1]+\" \"+l[2]+\" \"+l[3]}return n.source=function(e){return arguments.length?(t=de(e),n):t},n.target=function(t){return arguments.length?(e=de(t),n):e},n.projection=function(t){return arguments.length?(r=t,n):r},n},t.svg.diagonal.radial=function(){var e=t.svg.diagonal(),r=cs,n=e.projection;return e.projection=function(t){return arguments.length?n(us(r=t)):r},e},t.svg.symbol=function(){var t=hs,e=fs;function r(r,n){return(ds.get(t.call(this,r,n))||ps)(e.call(this,r,n))}return r.type=function(e){return arguments.length?(t=de(e),r):t},r.size=function(t){return arguments.length?(e=de(t),r):e},r};var ds=t.map({circle:ps,cross:function(t){var e=Math.sqrt(t/5)/2;return\"M\"+-3*e+\",\"+-e+\"H\"+-e+\"V\"+-3*e+\"H\"+e+\"V\"+-e+\"H\"+3*e+\"V\"+e+\"H\"+e+\"V\"+3*e+\"H\"+-e+\"V\"+e+\"H\"+-3*e+\"Z\"},diamond:function(t){var e=Math.sqrt(t/(2*gs)),r=e*gs;return\"M0,\"+-e+\"L\"+r+\",0 0,\"+e+\" \"+-r+\",0Z\"},square:function(t){var e=Math.sqrt(t)/2;return\"M\"+-e+\",\"+-e+\"L\"+e+\",\"+-e+\" \"+e+\",\"+e+\" \"+-e+\",\"+e+\"Z\"},\"triangle-down\":function(t){var e=Math.sqrt(t/ms),r=e*ms/2;return\"M0,\"+r+\"L\"+e+\",\"+-r+\" \"+-e+\",\"+-r+\"Z\"},\"triangle-up\":function(t){var e=Math.sqrt(t/ms),r=e*ms/2;return\"M0,\"+-r+\"L\"+e+\",\"+r+\" \"+-e+\",\"+r+\"Z\"}});t.svg.symbolTypes=ds.keys();var ms=Math.sqrt(3),gs=Math.tan(30*Ct);Y.transition=function(t){for(var e,r,n=bs||++Ts,i=As(t),a=[],o=_s||{time:Date.now(),ease:ca,delay:0,duration:250},s=-1,l=this.length;++s<l;){a.push(e=[]);for(var c=this[s],u=-1,f=c.length;++u<f;)(r=c[u])&&Ss(r,u,i,n,o),e.push(r)}return xs(a,i,n)},Y.interrupt=function(t){return this.each(null==t?vs:ys(As(t)))};var vs=ys(As());function ys(t){return function(){var e,r,n;(e=this[t])&&(n=e[r=e.active])&&(n.timer.c=null,n.timer.t=NaN,--e.count?delete e[r]:delete this[t],e.active+=.5,n.event&&n.event.interrupt.call(this,this.__data__,n.index))}}function xs(t,e,r){return U(t,ws),t.namespace=e,t.id=r,t}var bs,_s,ws=[],Ts=0;function ks(t,e,r,n){var i=t.id,a=t.namespace;return ut(t,\"function\"==typeof r?function(t,o,s){t[a][i].tween.set(e,n(r.call(t,t.__data__,o,s)))}:(r=n(r),function(t){t[a][i].tween.set(e,r)}))}function Ms(t){return null==t&&(t=\"\"),function(){this.textContent=t}}function As(t){return null==t?\"__transition__\":\"__transition_\"+t+\"__\"}function Ss(t,e,r,n,i){var a,o,s,l,c,u=t[r]||(t[r]={active:0,count:0}),f=u[n];function h(r){var i=u.active,h=u[i];for(var d in h&&(h.timer.c=null,h.timer.t=NaN,--u.count,delete u[i],h.event&&h.event.interrupt.call(t,t.__data__,h.index)),u)if(+d<n){var m=u[d];m.timer.c=null,m.timer.t=NaN,--u.count,delete u[d]}o.c=p,we((function(){return o.c&&p(r||1)&&(o.c=null,o.t=NaN),1}),0,a),u.active=n,f.event&&f.event.start.call(t,t.__data__,e),c=[],f.tween.forEach((function(r,n){(n=n.call(t,t.__data__,e))&&c.push(n)})),l=f.ease,s=f.duration}function p(i){for(var a=i/s,o=l(a),h=c.length;h>0;)c[--h].call(t,o);if(a>=1)return f.event&&f.event.end.call(t,t.__data__,e),--u.count?delete u[n]:delete t[r],1}f||(a=i.time,o=we((function(t){var e=f.delay;if(o.t=e+a,e<=t)return h(t-e);o.c=h}),0,a),f=u[n]={tween:new _,time:a,timer:o,delay:i.delay,duration:i.duration,ease:i.ease,index:e},i=null,++u.count)}ws.call=Y.call,ws.empty=Y.empty,ws.node=Y.node,ws.size=Y.size,t.transition=function(e,r){return e&&e.transition?bs?e.transition(r):e:t.selection().transition(e)},t.transition.prototype=ws,ws.select=function(t){var e,r,n,i=this.id,a=this.namespace,o=[];t=W(t);for(var s=-1,l=this.length;++s<l;){o.push(e=[]);for(var c=this[s],u=-1,f=c.length;++u<f;)(n=c[u])&&(r=t.call(n,n.__data__,u,s))?(\"__data__\"in n&&(r.__data__=n.__data__),Ss(r,u,a,i,n[a][i]),e.push(r)):e.push(null)}return xs(o,a,i)},ws.selectAll=function(t){var e,r,n,i,a,o=this.id,s=this.namespace,l=[];t=X(t);for(var c=-1,u=this.length;++c<u;)for(var f=this[c],h=-1,p=f.length;++h<p;)if(n=f[h]){a=n[s][o],r=t.call(n,n.__data__,h,c),l.push(e=[]);for(var d=-1,m=r.length;++d<m;)(i=r[d])&&Ss(i,d,s,o,a),e.push(i)}return xs(l,s,o)},ws.filter=function(t){var e,r,n=[];\"function\"!=typeof t&&(t=lt(t));for(var i=0,a=this.length;i<a;i++){n.push(e=[]);for(var o,s=0,l=(o=this[i]).length;s<l;s++)(r=o[s])&&t.call(r,r.__data__,s,i)&&e.push(r)}return xs(n,this.namespace,this.id)},ws.tween=function(t,e){var r=this.id,n=this.namespace;return arguments.length<2?this.node()[n][r].tween.get(t):ut(this,null==e?function(e){e[n][r].tween.remove(t)}:function(i){i[n][r].tween.set(t,e)})},ws.attr=function(e,r){if(arguments.length<2){for(r in e)this.attr(r,e[r]);return this}var n=\"transform\"==e?ba:$i,i=t.ns.qualify(e);function a(){this.removeAttribute(i)}function o(){this.removeAttributeNS(i.space,i.local)}function s(t){return null==t?a:(t+=\"\",function(){var e,r=this.getAttribute(i);return r!==t&&(e=n(r,t),function(t){this.setAttribute(i,e(t))})})}function l(t){return null==t?o:(t+=\"\",function(){var e,r=this.getAttributeNS(i.space,i.local);return r!==t&&(e=n(r,t),function(t){this.setAttributeNS(i.space,i.local,e(t))})})}return ks(this,\"attr.\"+e,r,i.local?l:s)},ws.attrTween=function(e,r){var n=t.ns.qualify(e);return this.tween(\"attr.\"+e,n.local?function(t,e){var i=r.call(this,t,e,this.getAttributeNS(n.space,n.local));return i&&function(t){this.setAttributeNS(n.space,n.local,i(t))}}:function(t,e){var i=r.call(this,t,e,this.getAttribute(n));return i&&function(t){this.setAttribute(n,i(t))}})},ws.style=function(t,e,r){var n=arguments.length;if(n<3){if(\"string\"!=typeof t){for(r in n<2&&(e=\"\"),t)this.style(r,t[r],e);return this}r=\"\"}function i(){this.style.removeProperty(t)}function a(e){return null==e?i:(e+=\"\",function(){var n,i=o(this).getComputedStyle(this,null).getPropertyValue(t);return i!==e&&(n=$i(i,e),function(e){this.style.setProperty(t,n(e),r)})})}return ks(this,\"style.\"+t,e,a)},ws.styleTween=function(t,e,r){function n(n,i){var a=e.call(this,n,i,o(this).getComputedStyle(this,null).getPropertyValue(t));return a&&function(e){this.style.setProperty(t,a(e),r)}}return arguments.length<3&&(r=\"\"),this.tween(\"style.\"+t,n)},ws.text=function(t){return ks(this,\"text\",t,Ms)},ws.remove=function(){var t=this.namespace;return this.each(\"end.transition\",(function(){var e;this[t].count<2&&(e=this.parentNode)&&e.removeChild(this)}))},ws.ease=function(e){var r=this.id,n=this.namespace;return arguments.length<1?this.node()[n][r].ease:(\"function\"!=typeof e&&(e=t.ease.apply(t,arguments)),ut(this,(function(t){t[n][r].ease=e})))},ws.delay=function(t){var e=this.id,r=this.namespace;return arguments.length<1?this.node()[r][e].delay:ut(this,\"function\"==typeof t?function(n,i,a){n[r][e].delay=+t.call(n,n.__data__,i,a)}:(t=+t,function(n){n[r][e].delay=t}))},ws.duration=function(t){var e=this.id,r=this.namespace;return arguments.length<1?this.node()[r][e].duration:ut(this,\"function\"==typeof t?function(n,i,a){n[r][e].duration=Math.max(1,t.call(n,n.__data__,i,a))}:(t=Math.max(1,t),function(n){n[r][e].duration=t}))},ws.each=function(e,r){var n=this.id,i=this.namespace;if(arguments.length<2){var a=_s,o=bs;try{bs=n,ut(this,(function(t,r,a){_s=t[i][n],e.call(t,t.__data__,r,a)}))}finally{_s=a,bs=o}}else ut(this,(function(a){var o=a[i][n];(o.event||(o.event=t.dispatch(\"start\",\"end\",\"interrupt\"))).on(e,r)}));return this},ws.transition=function(){for(var t,e,r,n=this.id,i=++Ts,a=this.namespace,o=[],s=0,l=this.length;s<l;s++){o.push(t=[]);for(var c,u=0,f=(c=this[s]).length;u<f;u++)(e=c[u])&&Ss(e,u,a,i,{time:(r=e[a][n]).time,ease:r.ease,delay:r.delay+r.duration,duration:r.duration}),t.push(e)}return xs(o,a,i)},t.svg.axis=function(){var e,r=t.scale.linear(),i=Es,a=6,o=6,s=3,l=[10],c=null;function u(n){n.each((function(){var n,u=t.select(this),f=this.__chart__||r,h=this.__chart__=r.copy(),p=null==c?h.ticks?h.ticks.apply(h,l):h.domain():c,d=null==e?h.tickFormat?h.tickFormat.apply(h,l):C:e,m=u.selectAll(\".tick\").data(p,h),g=m.enter().insert(\"g\",\".domain\").attr(\"class\",\"tick\").style(\"opacity\",kt),v=t.transition(m.exit()).style(\"opacity\",kt).remove(),y=t.transition(m.order()).style(\"opacity\",1),x=Math.max(a,0)+s,b=go(h),_=u.selectAll(\".domain\").data([0]),w=(_.enter().append(\"path\").attr(\"class\",\"domain\"),t.transition(_));g.append(\"line\"),g.append(\"text\");var T,k,M,A,S=g.select(\"line\"),E=y.select(\"line\"),L=m.select(\"text\").text(d),P=g.select(\"text\"),I=y.select(\"text\"),O=\"top\"===i||\"left\"===i?-1:1;if(\"bottom\"===i||\"top\"===i?(n=Cs,T=\"x\",M=\"y\",k=\"x2\",A=\"y2\",L.attr(\"dy\",O<0?\"0em\":\".71em\").style(\"text-anchor\",\"middle\"),w.attr(\"d\",\"M\"+b[0]+\",\"+O*o+\"V0H\"+b[1]+\"V\"+O*o)):(n=Ps,T=\"y\",M=\"x\",k=\"y2\",A=\"x2\",L.attr(\"dy\",\".32em\").style(\"text-anchor\",O<0?\"end\":\"start\"),w.attr(\"d\",\"M\"+O*o+\",\"+b[0]+\"H0V\"+b[1]+\"H\"+O*o)),S.attr(A,O*a),P.attr(M,O*x),E.attr(k,0).attr(A,O*a),I.attr(T,0).attr(M,O*x),h.rangeBand){var z=h,D=z.rangeBand()/2;f=h=function(t){return z(t)+D}}else f.rangeBand?f=h:v.call(n,h,f);g.call(n,f,h),y.call(n,h,h)}))}return u.scale=function(t){return arguments.length?(r=t,u):r},u.orient=function(t){return arguments.length?(i=t in Ls?t+\"\":Es,u):i},u.ticks=function(){return arguments.length?(l=n(arguments),u):l},u.tickValues=function(t){return arguments.length?(c=t,u):c},u.tickFormat=function(t){return arguments.length?(e=t,u):e},u.tickSize=function(t){var e=arguments.length;return e?(a=+t,o=+arguments[e-1],u):a},u.innerTickSize=function(t){return arguments.length?(a=+t,u):a},u.outerTickSize=function(t){return arguments.length?(o=+t,u):o},u.tickPadding=function(t){return arguments.length?(s=+t,u):s},u.tickSubdivide=function(){return arguments.length&&u},u};var Es=\"bottom\",Ls={top:1,right:1,bottom:1,left:1};function Cs(t,e,r){t.attr(\"transform\",(function(t){var n=e(t);return\"translate(\"+(isFinite(n)?n:r(t))+\",0)\"}))}function Ps(t,e,r){t.attr(\"transform\",(function(t){var n=e(t);return\"translate(0,\"+(isFinite(n)?n:r(t))+\")\"}))}t.svg.brush=function(){var e,r,n=N(h,\"brushstart\",\"brush\",\"brushend\"),i=null,a=null,s=[0,0],l=[0,0],c=!0,u=!0,f=Os[0];function h(e){e.each((function(){var e=t.select(this).style(\"pointer-events\",\"all\").style(\"-webkit-tap-highlight-color\",\"rgba(0,0,0,0)\").on(\"mousedown.brush\",g).on(\"touchstart.brush\",g),r=e.selectAll(\".background\").data([0]);r.enter().append(\"rect\").attr(\"class\",\"background\").style(\"visibility\",\"hidden\").style(\"cursor\",\"crosshair\"),e.selectAll(\".extent\").data([0]).enter().append(\"rect\").attr(\"class\",\"extent\").style(\"cursor\",\"move\");var n=e.selectAll(\".resize\").data(f,C);n.exit().remove(),n.enter().append(\"g\").attr(\"class\",(function(t){return\"resize \"+t})).style(\"cursor\",(function(t){return Is[t]})).append(\"rect\").attr(\"x\",(function(t){return/[ew]$/.test(t)?-3:null})).attr(\"y\",(function(t){return/^[ns]/.test(t)?-3:null})).attr(\"width\",6).attr(\"height\",6).style(\"visibility\",\"hidden\"),n.style(\"display\",h.empty()?\"none\":null);var o,s=t.transition(e),l=t.transition(r);i&&(o=go(i),l.attr(\"x\",o[0]).attr(\"width\",o[1]-o[0]),d(s)),a&&(o=go(a),l.attr(\"y\",o[0]).attr(\"height\",o[1]-o[0]),m(s)),p(s)}))}function p(t){t.selectAll(\".resize\").attr(\"transform\",(function(t){return\"translate(\"+s[+/e$/.test(t)]+\",\"+l[+/^s/.test(t)]+\")\"}))}function d(t){t.select(\".extent\").attr(\"x\",s[0]),t.selectAll(\".extent,.n>rect,.s>rect\").attr(\"width\",s[1]-s[0])}function m(t){t.select(\".extent\").attr(\"y\",l[0]),t.selectAll(\".extent,.e>rect,.w>rect\").attr(\"height\",l[1]-l[0])}function g(){var f,g,v=this,y=t.select(t.event.target),x=n.of(v,arguments),b=t.select(v),_=y.datum(),w=!/^(n|s)$/.test(_)&&i,T=!/^(e|w)$/.test(_)&&a,k=y.classed(\"extent\"),M=bt(v),A=t.mouse(v),S=t.select(o(v)).on(\"keydown.brush\",C).on(\"keyup.brush\",P);if(t.event.changedTouches?S.on(\"touchmove.brush\",I).on(\"touchend.brush\",z):S.on(\"mousemove.brush\",I).on(\"mouseup.brush\",z),b.interrupt().selectAll(\"*\").interrupt(),k)A[0]=s[0]-A[0],A[1]=l[0]-A[1];else if(_){var E=+/w$/.test(_),L=+/^n/.test(_);g=[s[1-E]-A[0],l[1-L]-A[1]],A[0]=s[E],A[1]=l[L]}else t.event.altKey&&(f=A.slice());function C(){32==t.event.keyCode&&(k||(f=null,A[0]-=s[1],A[1]-=l[1],k=2),F())}function P(){32==t.event.keyCode&&2==k&&(A[0]+=s[1],A[1]+=l[1],k=0,F())}function I(){var e=t.mouse(v),r=!1;g&&(e[0]+=g[0],e[1]+=g[1]),k||(t.event.altKey?(f||(f=[(s[0]+s[1])/2,(l[0]+l[1])/2]),A[0]=s[+(e[0]<f[0])],A[1]=l[+(e[1]<f[1])]):f=null),w&&O(e,i,0)&&(d(b),r=!0),T&&O(e,a,1)&&(m(b),r=!0),r&&(p(b),x({type:\"brush\",mode:k?\"move\":\"resize\"}))}function O(t,n,i){var a,o,h=go(n),p=h[0],d=h[1],m=A[i],g=i?l:s,v=g[1]-g[0];if(k&&(p-=m,d-=v+m),a=(i?u:c)?Math.max(p,Math.min(d,t[i])):t[i],k?o=(a+=m)+v:(f&&(m=Math.max(p,Math.min(d,2*f[i]-a))),m<a?(o=a,a=m):o=m),g[0]!=a||g[1]!=o)return i?r=null:e=null,g[0]=a,g[1]=o,!0}function z(){I(),b.style(\"pointer-events\",\"all\").selectAll(\".resize\").style(\"display\",h.empty()?\"none\":null),t.select(\"body\").style(\"cursor\",null),S.on(\"mousemove.brush\",null).on(\"mouseup.brush\",null).on(\"touchmove.brush\",null).on(\"touchend.brush\",null).on(\"keydown.brush\",null).on(\"keyup.brush\",null),M(),x({type:\"brushend\"})}b.style(\"pointer-events\",\"none\").selectAll(\".resize\").style(\"display\",null),t.select(\"body\").style(\"cursor\",y.style(\"cursor\")),x({type:\"brushstart\"}),I()}return h.event=function(i){i.each((function(){var i=n.of(this,arguments),a={x:s,y:l,i:e,j:r},o=this.__chart__||a;this.__chart__=a,bs?t.select(this).transition().each(\"start.brush\",(function(){e=o.i,r=o.j,s=o.x,l=o.y,i({type:\"brushstart\"})})).tween(\"brush:brush\",(function(){var t=ta(s,a.x),n=ta(l,a.y);return e=r=null,function(e){s=a.x=t(e),l=a.y=n(e),i({type:\"brush\",mode:\"resize\"})}})).each(\"end.brush\",(function(){e=a.i,r=a.j,i({type:\"brush\",mode:\"resize\"}),i({type:\"brushend\"})})):(i({type:\"brushstart\"}),i({type:\"brush\",mode:\"resize\"}),i({type:\"brushend\"}))}))},h.x=function(t){return arguments.length?(f=Os[!(i=t)<<1|!a],h):i},h.y=function(t){return arguments.length?(f=Os[!i<<1|!(a=t)],h):a},h.clamp=function(t){return arguments.length?(i&&a?(c=!!t[0],u=!!t[1]):i?c=!!t:a&&(u=!!t),h):i&&a?[c,u]:i?c:a?u:null},h.extent=function(t){var n,o,c,u,f;return arguments.length?(i&&(n=t[0],o=t[1],a&&(n=n[0],o=o[0]),e=[n,o],i.invert&&(n=i(n),o=i(o)),o<n&&(f=n,n=o,o=f),n==s[0]&&o==s[1]||(s=[n,o])),a&&(c=t[0],u=t[1],i&&(c=c[1],u=u[1]),r=[c,u],a.invert&&(c=a(c),u=a(u)),u<c&&(f=c,c=u,u=f),c==l[0]&&u==l[1]||(l=[c,u])),h):(i&&(e?(n=e[0],o=e[1]):(n=s[0],o=s[1],i.invert&&(n=i.invert(n),o=i.invert(o)),o<n&&(f=n,n=o,o=f))),a&&(r?(c=r[0],u=r[1]):(c=l[0],u=l[1],a.invert&&(c=a.invert(c),u=a.invert(u)),u<c&&(f=c,c=u,u=f))),i&&a?[[n,c],[o,u]]:i?[n,o]:a&&[c,u])},h.clear=function(){return h.empty()||(s=[0,0],l=[0,0],e=r=null),h},h.empty=function(){return!!i&&s[0]==s[1]||!!a&&l[0]==l[1]},t.rebind(h,n,\"on\")};var Is={n:\"ns-resize\",e:\"ew-resize\",s:\"ns-resize\",w:\"ew-resize\",nw:\"nwse-resize\",ne:\"nesw-resize\",se:\"nwse-resize\",sw:\"nesw-resize\"},Os=[[\"n\",\"e\",\"s\",\"w\",\"nw\",\"ne\",\"se\",\"sw\"],[\"e\",\"w\"],[\"n\",\"s\"],[]],zs=Ie.format=sr.timeFormat,Ds=zs.utc,Rs=Ds(\"%Y-%m-%dT%H:%M:%S.%LZ\");function Fs(t){return t.toISOString()}function Bs(e,r,n){function i(t){return e(t)}function a(e,n){var i=(e[1]-e[0])/n,a=t.bisect(js,i);return a==js.length?[r.year,ko(e.map((function(t){return t/31536e6})),n)[2]]:a?r[i/js[a-1]<js[a]/i?a-1:a]:[qs,ko(e,n)[2]]}return i.invert=function(t){return Ns(e.invert(t))},i.domain=function(t){return arguments.length?(e.domain(t),i):e.domain().map(Ns)},i.nice=function(t,e){var r=i.domain(),n=mo(r),o=null==t?a(n,10):\"number\"==typeof t&&a(n,t);function s(r){return!isNaN(r)&&!t.range(r,Ns(+r+1),e).length}return o&&(t=o[0],e=o[1]),i.domain(yo(r,e>1?{floor:function(e){for(;s(e=t.floor(e));)e=Ns(e-1);return e},ceil:function(e){for(;s(e=t.ceil(e));)e=Ns(+e+1);return e}}:t))},i.ticks=function(t,e){var r=mo(i.domain()),n=null==t?a(r,10):\"number\"==typeof t?a(r,t):!t.range&&[{range:t},e];return n&&(t=n[0],e=n[1]),t.range(r[0],Ns(+r[1]+1),e<1?1:e)},i.tickFormat=function(){return n},i.copy=function(){return Bs(e.copy(),r,n)},wo(i,e)}function Ns(t){return new Date(t)}zs.iso=Date.prototype.toISOString&&+new Date(\"2000-01-01T00:00:00.000Z\")?Fs:Rs,Fs.parse=function(t){var e=new Date(t);return isNaN(e)?null:e},Fs.toString=Rs.toString,Ie.second=Re((function(t){return new Oe(1e3*Math.floor(t/1e3))}),(function(t,e){t.setTime(t.getTime()+1e3*Math.floor(e))}),(function(t){return t.getSeconds()})),Ie.seconds=Ie.second.range,Ie.seconds.utc=Ie.second.utc.range,Ie.minute=Re((function(t){return new Oe(6e4*Math.floor(t/6e4))}),(function(t,e){t.setTime(t.getTime()+6e4*Math.floor(e))}),(function(t){return t.getMinutes()})),Ie.minutes=Ie.minute.range,Ie.minutes.utc=Ie.minute.utc.range,Ie.hour=Re((function(t){var e=t.getTimezoneOffset()/60;return new Oe(36e5*(Math.floor(t/36e5-e)+e))}),(function(t,e){t.setTime(t.getTime()+36e5*Math.floor(e))}),(function(t){return t.getHours()})),Ie.hours=Ie.hour.range,Ie.hours.utc=Ie.hour.utc.range,Ie.month=Re((function(t){return(t=Ie.day(t)).setDate(1),t}),(function(t,e){t.setMonth(t.getMonth()+e)}),(function(t){return t.getMonth()})),Ie.months=Ie.month.range,Ie.months.utc=Ie.month.utc.range;var js=[1e3,5e3,15e3,3e4,6e4,3e5,9e5,18e5,36e5,108e5,216e5,432e5,864e5,1728e5,6048e5,2592e6,7776e6,31536e6],Us=[[Ie.second,1],[Ie.second,5],[Ie.second,15],[Ie.second,30],[Ie.minute,1],[Ie.minute,5],[Ie.minute,15],[Ie.minute,30],[Ie.hour,1],[Ie.hour,3],[Ie.hour,6],[Ie.hour,12],[Ie.day,1],[Ie.day,2],[Ie.week,1],[Ie.month,1],[Ie.month,3],[Ie.year,1]],Vs=zs.multi([[\".%L\",function(t){return t.getMilliseconds()}],[\":%S\",function(t){return t.getSeconds()}],[\"%I:%M\",function(t){return t.getMinutes()}],[\"%I %p\",function(t){return t.getHours()}],[\"%a %d\",function(t){return t.getDay()&&1!=t.getDate()}],[\"%b %d\",function(t){return 1!=t.getDate()}],[\"%B\",function(t){return t.getMonth()}],[\"%Y\",Yr]]),qs={range:function(e,r,n){return t.range(Math.ceil(e/n)*n,+r,n).map(Ns)},floor:C,ceil:C};Us.year=Ie.year,Ie.scale=function(){return Bs(t.scale.linear(),Us,Vs)};var Hs=Us.map((function(t){return[t[0].utc,t[1]]})),Gs=Ds.multi([[\".%L\",function(t){return t.getUTCMilliseconds()}],[\":%S\",function(t){return t.getUTCSeconds()}],[\"%I:%M\",function(t){return t.getUTCMinutes()}],[\"%I %p\",function(t){return t.getUTCHours()}],[\"%a %d\",function(t){return t.getUTCDay()&&1!=t.getUTCDate()}],[\"%b %d\",function(t){return 1!=t.getUTCDate()}],[\"%B\",function(t){return t.getUTCMonth()}],[\"%Y\",Yr]]);function Ys(t){return JSON.parse(t.responseText)}function Ws(t){var e=i.createRange();return e.selectNode(i.body),e.createContextualFragment(t.responseText)}Hs.year=Ie.year.utc,Ie.scale.utc=function(){return Bs(t.scale.linear(),Hs,Gs)},t.text=me((function(t){return t.responseText})),t.json=function(t,e){return ge(t,\"application/json\",Ys,e)},t.html=function(t,e){return ge(t,\"text/html\",Ws,e)},t.xml=me((function(t){return t.responseXML})),\"object\"==typeof e&&e.exports?e.exports=t:this.d3=t}).apply(self)},{}],59:[function(t,e,r){\"use strict\";e.exports=t(\"./quad\")},{\"./quad\":60}],60:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),i=t(\"clamp\"),a=t(\"parse-rect\"),o=t(\"array-bounds\"),s=t(\"pick-by-alias\"),l=t(\"defined\"),c=t(\"flatten-vertex-data\"),u=t(\"is-obj\"),f=t(\"dtype\"),h=t(\"math-log2\");function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return s}e.exports=function(t,e){e||(e={}),t=c(t,\"float64\"),e=s(e,{bounds:\"range bounds dataBox databox\",maxDepth:\"depth maxDepth maxdepth level maxLevel maxlevel levels\",dtype:\"type dtype format out dst output destination\"});var r=l(e.maxDepth,255),i=l(e.bounds,o(t,2));i[0]===i[2]&&i[2]++,i[1]===i[3]&&i[3]++;var d,m=p(t,i),g=t.length>>>1;e.dtype||(e.dtype=\"array\"),\"string\"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var v=0;v<g;++v)d[v]=v;var y=[],x=[],b=[],_=[];!function t(e,n,i,a,o,s){if(!a.length)return null;var l=y[o]||(y[o]=[]),c=b[o]||(b[o]=[]),u=x[o]||(x[o]=[]),f=l.length;if(++o>r||s>1073741824){for(var h=0;h<a.length;h++)l.push(a[h]),c.push(s),u.push(null,null,null,null);return f}if(l.push(a[0]),c.push(s),a.length<=1)return u.push(null,null,null,null),f;for(var p=.5*i,d=e+p,g=n+p,v=[],_=[],w=[],T=[],k=1,M=a.length;k<M;k++){var A=a[k],S=m[2*A],E=m[2*A+1];S<d?E<g?v.push(A):_.push(A):E<g?w.push(A):T.push(A)}return s<<=2,u.push(t(e,n,p,v,o,s),t(e,g,p,_,o,s+1),t(d,n,p,w,o,s+2),t(d,g,p,T,o,s+3)),f}(0,0,1,d,0,1);for(var w=0,T=0;T<y.length;T++){var k=y[T];if(d.set)d.set(k,w);else for(var M=0,A=k.length;M<A;M++)d[M+w]=k[M];var S=w+y[T].length;_[T]=[w,S],w=S}return d.range=function(){var e,r=[],n=arguments.length;for(;n--;)r[n]=arguments[n];if(u(r[r.length-1])){var o=r.pop();r.length||null==o.x&&null==o.l&&null==o.left||(r=[o],e={}),e=s(o,{level:\"level maxLevel\",d:\"d diam diameter r radius px pxSize pixel pixelSize maxD size minSize\",lod:\"lod details ranges offsets\"})}else e={};r.length||(r=i);var c=a.apply(void 0,r),f=[Math.min(c.x,c.x+c.width),Math.min(c.y,c.y+c.height),Math.max(c.x,c.x+c.width),Math.max(c.y,c.y+c.height)],d=f[0],m=f[1],g=f[2],v=f[3],b=p([d,m,g,v],i),_=b[0],w=b[1],T=b[2],k=b[3],M=l(e.level,y.length);if(null!=e.d){var A;\"number\"==typeof e.d?A=[e.d,e.d]:e.d.length&&(A=e.d),M=Math.min(Math.max(Math.ceil(-h(Math.abs(A[0])/(i[2]-i[0]))),Math.ceil(-h(Math.abs(A[1])/(i[3]-i[1])))),M)}if(M=Math.min(M,y.length),e.lod)return E(_,w,T,k,M);var S=[];function L(e,r,n,i,a,o){if(null!==a&&null!==o&&!(_>e+n||w>r+n||T<e||k<r||i>=M||a===o)){var s=y[i];void 0===o&&(o=s.length);for(var l=a;l<o;l++){var c=s[l],u=t[2*c],f=t[2*c+1];u>=d&&u<=g&&f>=m&&f<=v&&S.push(c)}var h=x[i],p=h[4*a+0],b=h[4*a+1],A=h[4*a+2],E=h[4*a+3],P=C(h,a+1),I=.5*n,O=i+1;L(e,r,I,O,p,b||A||E||P),L(e,r+I,I,O,b,A||E||P),L(e+I,r,I,O,A,E||P),L(e+I,r+I,I,O,E,P)}}function C(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}return L(0,0,1,0,0,1),S},d;function E(t,e,r,i,a){for(var o=[],s=0;s<a;s++){var l=b[s],c=_[s][0],u=L(t,e,s),f=L(r,i,s),h=n.ge(l,u),p=n.gt(l,f,h,l.length-1);o[s]=[h+c,p+c]}return o}function L(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s<r;s++)n<<=2,n+=t<i?e<a?0:1:e<a?2:3,o*=.5,i+=t<i?-o:o,a+=e<a?-o:o;return n}}},{\"array-bounds\":76,\"binary-search-bounds\":103,clamp:126,defined:175,dtype:180,\"flatten-vertex-data\":248,\"is-obj\":452,\"math-log2\":463,\"parse-rect\":488,\"pick-by-alias\":494}],61:[function(t,e,r){\"use strict\";Object.defineProperty(r,\"__esModule\",{value:!0});var n=t(\"@turf/meta\");function i(t){var e=0;if(t&&t.length>0){e+=Math.abs(a(t[0]));for(var r=1;r<t.length;r++)e-=Math.abs(a(t[r]))}return e}function a(t){var e,r,n,i,a,s,l=0,c=t.length;if(c>2){for(s=0;s<c;s++)s===c-2?(n=c-2,i=c-1,a=0):s===c-1?(n=c-1,i=0,a=1):(n=s,i=s+1,a=s+2),e=t[n],r=t[i],l+=(o(t[a][0])-o(e[0]))*Math.sin(o(r[1]));l=6378137*l*6378137/2}return l}function o(t){return t*Math.PI/180}r.default=function(t){return n.geomReduce(t,(function(t,e){return t+function(t){var e,r=0;switch(t.type){case\"Polygon\":return i(t.coordinates);case\"MultiPolygon\":for(e=0;e<t.coordinates.length;e++)r+=i(t.coordinates[e]);return r;case\"Point\":case\"MultiPoint\":case\"LineString\":case\"MultiLineString\":return 0}return 0}(e)}),0)}},{\"@turf/meta\":63}],62:[function(t,e,r){\"use strict\";function n(t,e,r){void 0===r&&(r={});var n={type:\"Feature\"};return(0===r.id||r.id)&&(n.id=r.id),r.bbox&&(n.bbox=r.bbox),n.properties=e||{},n.geometry=t,n}function i(t,e,r){if(void 0===r&&(r={}),!t)throw new Error(\"coordinates is required\");if(!Array.isArray(t))throw new Error(\"coordinates must be an Array\");if(t.length<2)throw new Error(\"coordinates must be at least 2 numbers long\");if(!d(t[0])||!d(t[1]))throw new Error(\"coordinates must contain numbers\");return n({type:\"Point\",coordinates:t},e,r)}function a(t,e,r){void 0===r&&(r={});for(var i=0,a=t;i<a.length;i++){var o=a[i];if(o.length<4)throw new Error(\"Each LinearRing of a Polygon must have 4 or more Positions.\");for(var s=0;s<o[o.length-1].length;s++)if(o[o.length-1][s]!==o[0][s])throw new Error(\"First and last Position are not equivalent.\")}return n({type:\"Polygon\",coordinates:t},e,r)}function o(t,e,r){if(void 0===r&&(r={}),t.length<2)throw new Error(\"coordinates must be an array of two or more positions\");return n({type:\"LineString\",coordinates:t},e,r)}function s(t,e){void 0===e&&(e={});var r={type:\"FeatureCollection\"};return e.id&&(r.id=e.id),e.bbox&&(r.bbox=e.bbox),r.features=t,r}function l(t,e,r){return void 0===r&&(r={}),n({type:\"MultiLineString\",coordinates:t},e,r)}function c(t,e,r){return void 0===r&&(r={}),n({type:\"MultiPoint\",coordinates:t},e,r)}function u(t,e,r){return void 0===r&&(r={}),n({type:\"MultiPolygon\",coordinates:t},e,r)}function f(t,e){void 0===e&&(e=\"kilometers\");var n=r.factors[e];if(!n)throw new Error(e+\" units is invalid\");return t*n}function h(t,e){void 0===e&&(e=\"kilometers\");var n=r.factors[e];if(!n)throw new Error(e+\" units is invalid\");return t/n}function p(t){return 180*(t%(2*Math.PI))/Math.PI}function d(t){return!isNaN(t)&&null!==t&&!Array.isArray(t)}Object.defineProperty(r,\"__esModule\",{value:!0}),r.earthRadius=6371008.8,r.factors={centimeters:100*r.earthRadius,centimetres:100*r.earthRadius,degrees:r.earthRadius/111325,feet:3.28084*r.earthRadius,inches:39.37*r.earthRadius,kilometers:r.earthRadius/1e3,kilometres:r.earthRadius/1e3,meters:r.earthRadius,metres:r.earthRadius,miles:r.earthRadius/1609.344,millimeters:1e3*r.earthRadius,millimetres:1e3*r.earthRadius,nauticalmiles:r.earthRadius/1852,radians:1,yards:1.0936*r.earthRadius},r.unitsFactors={centimeters:100,centimetres:100,degrees:1/111325,feet:3.28084,inches:39.37,kilometers:.001,kilometres:.001,meters:1,metres:1,miles:1/1609.344,millimeters:1e3,millimetres:1e3,nauticalmiles:1/1852,radians:1/r.earthRadius,yards:1.0936133},r.areaFactors={acres:247105e-9,centimeters:1e4,centimetres:1e4,feet:10.763910417,hectares:1e-4,inches:1550.003100006,kilometers:1e-6,kilometres:1e-6,meters:1,metres:1,miles:386e-9,millimeters:1e6,millimetres:1e6,yards:1.195990046},r.feature=n,r.geometry=function(t,e,r){switch(void 0===r&&(r={}),t){case\"Point\":return i(e).geometry;case\"LineString\":return o(e).geometry;case\"Polygon\":return a(e).geometry;case\"MultiPoint\":return c(e).geometry;case\"MultiLineString\":return l(e).geometry;case\"MultiPolygon\":return u(e).geometry;default:throw new Error(t+\" is invalid\")}},r.point=i,r.points=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return i(t,e)})),r)},r.polygon=a,r.polygons=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return a(t,e)})),r)},r.lineString=o,r.lineStrings=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return o(t,e)})),r)},r.featureCollection=s,r.multiLineString=l,r.multiPoint=c,r.multiPolygon=u,r.geometryCollection=function(t,e,r){return void 0===r&&(r={}),n({type:\"GeometryCollection\",geometries:t},e,r)},r.round=function(t,e){if(void 0===e&&(e=0),e&&!(e>=0))throw new Error(\"precision must be a positive number\");var r=Math.pow(10,e||0);return Math.round(t*r)/r},r.radiansToLength=f,r.lengthToRadians=h,r.lengthToDegrees=function(t,e){return p(h(t,e))},r.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},r.radiansToDegrees=p,r.degreesToRadians=function(t){return t%360*Math.PI/180},r.convertLength=function(t,e,r){if(void 0===e&&(e=\"kilometers\"),void 0===r&&(r=\"kilometers\"),!(t>=0))throw new Error(\"length must be a positive number\");return f(h(t,e),r)},r.convertArea=function(t,e,n){if(void 0===e&&(e=\"meters\"),void 0===n&&(n=\"kilometers\"),!(t>=0))throw new Error(\"area must be a positive number\");var i=r.areaFactors[e];if(!i)throw new Error(\"invalid original units\");var a=r.areaFactors[n];if(!a)throw new Error(\"invalid final units\");return t/i*a},r.isNumber=d,r.isObject=function(t){return!!t&&t.constructor===Object},r.validateBBox=function(t){if(!t)throw new Error(\"bbox is required\");if(!Array.isArray(t))throw new Error(\"bbox must be an Array\");if(4!==t.length&&6!==t.length)throw new Error(\"bbox must be an Array of 4 or 6 numbers\");t.forEach((function(t){if(!d(t))throw new Error(\"bbox must only contain numbers\")}))},r.validateId=function(t){if(!t)throw new Error(\"id is required\");if(-1===[\"string\",\"number\"].indexOf(typeof t))throw new Error(\"id must be a number or a string\")}},{}],63:[function(t,e,r){\"use strict\";Object.defineProperty(r,\"__esModule\",{value:!0});var n=t(\"@turf/helpers\");function i(t,e,r){if(null!==t)for(var n,a,o,s,l,c,u,f,h=0,p=0,d=t.type,m=\"FeatureCollection\"===d,g=\"Feature\"===d,v=m?t.features.length:1,y=0;y<v;y++){l=(f=!!(u=m?t.features[y].geometry:g?t.geometry:t)&&\"GeometryCollection\"===u.type)?u.geometries.length:1;for(var x=0;x<l;x++){var b=0,_=0;if(null!==(s=f?u.geometries[x]:u)){c=s.coordinates;var w=s.type;switch(h=!r||\"Polygon\"!==w&&\"MultiPolygon\"!==w?0:1,w){case null:break;case\"Point\":if(!1===e(c,p,y,b,_))return!1;p++,b++;break;case\"LineString\":case\"MultiPoint\":for(n=0;n<c.length;n++){if(!1===e(c[n],p,y,b,_))return!1;p++,\"MultiPoint\"===w&&b++}\"LineString\"===w&&b++;break;case\"Polygon\":case\"MultiLineString\":for(n=0;n<c.length;n++){for(a=0;a<c[n].length-h;a++){if(!1===e(c[n][a],p,y,b,_))return!1;p++}\"MultiLineString\"===w&&b++,\"Polygon\"===w&&_++}\"Polygon\"===w&&b++;break;case\"MultiPolygon\":for(n=0;n<c.length;n++){for(_=0,a=0;a<c[n].length;a++){for(o=0;o<c[n][a].length-h;o++){if(!1===e(c[n][a][o],p,y,b,_))return!1;p++}_++}b++}break;case\"GeometryCollection\":for(n=0;n<s.geometries.length;n++)if(!1===i(s.geometries[n],e,r))return!1;break;default:throw new Error(\"Unknown Geometry Type\")}}}}}function a(t,e){var r;switch(t.type){case\"FeatureCollection\":for(r=0;r<t.features.length&&!1!==e(t.features[r].properties,r);r++);break;case\"Feature\":e(t.properties,0)}}function o(t,e){if(\"Feature\"===t.type)e(t,0);else if(\"FeatureCollection\"===t.type)for(var r=0;r<t.features.length&&!1!==e(t.features[r],r);r++);}function s(t,e){var r,n,i,a,o,s,l,c,u,f,h=0,p=\"FeatureCollection\"===t.type,d=\"Feature\"===t.type,m=p?t.features.length:1;for(r=0;r<m;r++){for(s=p?t.features[r].geometry:d?t.geometry:t,c=p?t.features[r].properties:d?t.properties:{},u=p?t.features[r].bbox:d?t.bbox:void 0,f=p?t.features[r].id:d?t.id:void 0,o=(l=!!s&&\"GeometryCollection\"===s.type)?s.geometries.length:1,i=0;i<o;i++)if(null!==(a=l?s.geometries[i]:s))switch(a.type){case\"Point\":case\"LineString\":case\"MultiPoint\":case\"Polygon\":case\"MultiLineString\":case\"MultiPolygon\":if(!1===e(a,h,c,u,f))return!1;break;case\"GeometryCollection\":for(n=0;n<a.geometries.length;n++)if(!1===e(a.geometries[n],h,c,u,f))return!1;break;default:throw new Error(\"Unknown Geometry Type\")}else if(!1===e(null,h,c,u,f))return!1;h++}}function l(t,e){s(t,(function(t,r,i,a,o){var s,l=null===t?null:t.type;switch(l){case null:case\"Point\":case\"LineString\":case\"Polygon\":return!1!==e(n.feature(t,i,{bbox:a,id:o}),r,0)&&void 0}switch(l){case\"MultiPoint\":s=\"Point\";break;case\"MultiLineString\":s=\"LineString\";break;case\"MultiPolygon\":s=\"Polygon\"}for(var c=0;c<t.coordinates.length;c++){var u={type:s,coordinates:t.coordinates[c]};if(!1===e(n.feature(u,i),r,c))return!1}}))}function c(t,e){l(t,(function(t,r,a){var o=0;if(t.geometry){var s=t.geometry.type;if(\"Point\"!==s&&\"MultiPoint\"!==s){var l,c=0,u=0,f=0;return!1!==i(t,(function(i,s,h,p,d){if(void 0===l||r>c||p>u||d>f)return l=i,c=r,u=p,f=d,void(o=0);var m=n.lineString([l,i],t.properties);if(!1===e(m,r,a,d,o))return!1;o++,l=i}))&&void 0}}}))}function u(t,e){if(!t)throw new Error(\"geojson is required\");l(t,(function(t,r,i){if(null!==t.geometry){var a=t.geometry.type,o=t.geometry.coordinates;switch(a){case\"LineString\":if(!1===e(t,r,i,0,0))return!1;break;case\"Polygon\":for(var s=0;s<o.length;s++)if(!1===e(n.lineString(o[s],t.properties),r,i,s))return!1}}}))}r.coordEach=i,r.coordReduce=function(t,e,r,n){var a=r;return i(t,(function(t,n,i,o,s){a=0===n&&void 0===r?t:e(a,t,n,i,o,s)}),n),a},r.propEach=a,r.propReduce=function(t,e,r){var n=r;return a(t,(function(t,i){n=0===i&&void 0===r?t:e(n,t,i)})),n},r.featureEach=o,r.featureReduce=function(t,e,r){var n=r;return o(t,(function(t,i){n=0===i&&void 0===r?t:e(n,t,i)})),n},r.coordAll=function(t){var e=[];return i(t,(function(t){e.push(t)})),e},r.geomEach=s,r.geomReduce=function(t,e,r){var n=r;return s(t,(function(t,i,a,o,s){n=0===i&&void 0===r?t:e(n,t,i,a,o,s)})),n},r.flattenEach=l,r.flattenReduce=function(t,e,r){var n=r;return l(t,(function(t,i,a){n=0===i&&0===a&&void 0===r?t:e(n,t,i,a)})),n},r.segmentEach=c,r.segmentReduce=function(t,e,r){var n=r,i=!1;return c(t,(function(t,a,o,s,l){n=!1===i&&void 0===r?t:e(n,t,a,o,s,l),i=!0})),n},r.lineEach=u,r.lineReduce=function(t,e,r){var n=r;return u(t,(function(t,i,a,o){n=0===i&&void 0===r?t:e(n,t,i,a,o)})),n},r.findSegment=function(t,e){if(e=e||{},!n.isObject(e))throw new Error(\"options is invalid\");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.segmentIndex||0,l=e.properties;switch(t.type){case\"FeatureCollection\":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case\"Feature\":l=l||t.properties,r=t.geometry;break;case\"Point\":case\"MultiPoint\":return null;case\"LineString\":case\"Polygon\":case\"MultiLineString\":case\"MultiPolygon\":r=t;break;default:throw new Error(\"geojson is invalid\")}if(null===r)return null;var c=r.coordinates;switch(r.type){case\"Point\":case\"MultiPoint\":return null;case\"LineString\":return s<0&&(s=c.length+s-1),n.lineString([c[s],c[s+1]],l,e);case\"Polygon\":return o<0&&(o=c.length+o),s<0&&(s=c[o].length+s-1),n.lineString([c[o][s],c[o][s+1]],l,e);case\"MultiLineString\":return a<0&&(a=c.length+a),s<0&&(s=c[a].length+s-1),n.lineString([c[a][s],c[a][s+1]],l,e);case\"MultiPolygon\":return a<0&&(a=c.length+a),o<0&&(o=c[a].length+o),s<0&&(s=c[a][o].length-s-1),n.lineString([c[a][o][s],c[a][o][s+1]],l,e)}throw new Error(\"geojson is invalid\")},r.findPoint=function(t,e){if(e=e||{},!n.isObject(e))throw new Error(\"options is invalid\");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.coordIndex||0,l=e.properties;switch(t.type){case\"FeatureCollection\":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case\"Feature\":l=l||t.properties,r=t.geometry;break;case\"Point\":case\"MultiPoint\":return null;case\"LineString\":case\"Polygon\":case\"MultiLineString\":case\"MultiPolygon\":r=t;break;default:throw new Error(\"geojson is invalid\")}if(null===r)return null;var c=r.coordinates;switch(r.type){case\"Point\":return n.point(c,l,e);case\"MultiPoint\":return a<0&&(a=c.length+a),n.point(c[a],l,e);case\"LineString\":return s<0&&(s=c.length+s),n.point(c[s],l,e);case\"Polygon\":return o<0&&(o=c.length+o),s<0&&(s=c[o].length+s),n.point(c[o][s],l,e);case\"MultiLineString\":return a<0&&(a=c.length+a),s<0&&(s=c[a].length+s),n.point(c[a][s],l,e);case\"MultiPolygon\":return a<0&&(a=c.length+a),o<0&&(o=c[a].length+o),s<0&&(s=c[a][o].length-s),n.point(c[a][o][s],l,e)}throw new Error(\"geojson is invalid\")}},{\"@turf/helpers\":62}],64:[function(t,e,r){\"use strict\";Object.defineProperty(r,\"__esModule\",{value:!0});var n=t(\"@turf/meta\");function i(t){var e=[1/0,1/0,-1/0,-1/0];return n.coordEach(t,(function(t){e[0]>t[0]&&(e[0]=t[0]),e[1]>t[1]&&(e[1]=t[1]),e[2]<t[0]&&(e[2]=t[0]),e[3]<t[1]&&(e[3]=t[1])})),e}i.default=i,r.default=i},{\"@turf/meta\":66}],65:[function(t,e,r){arguments[4][62][0].apply(r,arguments)},{dup:62}],66:[function(t,e,r){arguments[4][63][0].apply(r,arguments)},{\"@turf/helpers\":65,dup:63}],67:[function(t,e,r){\"use strict\";Object.defineProperty(r,\"__esModule\",{value:!0});var n=t(\"@turf/meta\"),i=t(\"@turf/helpers\");r.default=function(t,e){void 0===e&&(e={});var r=0,a=0,o=0;return n.coordEach(t,(function(t){r+=t[0],a+=t[1],o++})),i.point([r/o,a/o],e.properties)}},{\"@turf/helpers\":68,\"@turf/meta\":69}],68:[function(t,e,r){\"use strict\";function n(t,e,r){void 0===r&&(r={});var n={type:\"Feature\"};return(0===r.id||r.id)&&(n.id=r.id),r.bbox&&(n.bbox=r.bbox),n.properties=e||{},n.geometry=t,n}function i(t,e,r){return void 0===r&&(r={}),n({type:\"Point\",coordinates:t},e,r)}function a(t,e,r){void 0===r&&(r={});for(var i=0,a=t;i<a.length;i++){var o=a[i];if(o.length<4)throw new Error(\"Each LinearRing of a Polygon must have 4 or more Positions.\");for(var s=0;s<o[o.length-1].length;s++)if(o[o.length-1][s]!==o[0][s])throw new Error(\"First and last Position are not equivalent.\")}return n({type:\"Polygon\",coordinates:t},e,r)}function o(t,e,r){if(void 0===r&&(r={}),t.length<2)throw new Error(\"coordinates must be an array of two or more positions\");return n({type:\"LineString\",coordinates:t},e,r)}function s(t,e){void 0===e&&(e={});var r={type:\"FeatureCollection\"};return e.id&&(r.id=e.id),e.bbox&&(r.bbox=e.bbox),r.features=t,r}function l(t,e,r){return void 0===r&&(r={}),n({type:\"MultiLineString\",coordinates:t},e,r)}function c(t,e,r){return void 0===r&&(r={}),n({type:\"MultiPoint\",coordinates:t},e,r)}function u(t,e,r){return void 0===r&&(r={}),n({type:\"MultiPolygon\",coordinates:t},e,r)}function f(t,e){void 0===e&&(e=\"kilometers\");var n=r.factors[e];if(!n)throw new Error(e+\" units is invalid\");return t*n}function h(t,e){void 0===e&&(e=\"kilometers\");var n=r.factors[e];if(!n)throw new Error(e+\" units is invalid\");return t/n}function p(t){return 180*(t%(2*Math.PI))/Math.PI}function d(t){return!isNaN(t)&&null!==t&&!Array.isArray(t)&&!/^\\s*$/.test(t)}Object.defineProperty(r,\"__esModule\",{value:!0}),r.earthRadius=6371008.8,r.factors={centimeters:100*r.earthRadius,centimetres:100*r.earthRadius,degrees:r.earthRadius/111325,feet:3.28084*r.earthRadius,inches:39.37*r.earthRadius,kilometers:r.earthRadius/1e3,kilometres:r.earthRadius/1e3,meters:r.earthRadius,metres:r.earthRadius,miles:r.earthRadius/1609.344,millimeters:1e3*r.earthRadius,millimetres:1e3*r.earthRadius,nauticalmiles:r.earthRadius/1852,radians:1,yards:r.earthRadius/1.0936},r.unitsFactors={centimeters:100,centimetres:100,degrees:1/111325,feet:3.28084,inches:39.37,kilometers:.001,kilometres:.001,meters:1,metres:1,miles:1/1609.344,millimeters:1e3,millimetres:1e3,nauticalmiles:1/1852,radians:1/r.earthRadius,yards:1/1.0936},r.areaFactors={acres:247105e-9,centimeters:1e4,centimetres:1e4,feet:10.763910417,inches:1550.003100006,kilometers:1e-6,kilometres:1e-6,meters:1,metres:1,miles:386e-9,millimeters:1e6,millimetres:1e6,yards:1.195990046},r.feature=n,r.geometry=function(t,e,r){switch(void 0===r&&(r={}),t){case\"Point\":return i(e).geometry;case\"LineString\":return o(e).geometry;case\"Polygon\":return a(e).geometry;case\"MultiPoint\":return c(e).geometry;case\"MultiLineString\":return l(e).geometry;case\"MultiPolygon\":return u(e).geometry;default:throw new Error(t+\" is invalid\")}},r.point=i,r.points=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return i(t,e)})),r)},r.polygon=a,r.polygons=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return a(t,e)})),r)},r.lineString=o,r.lineStrings=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return o(t,e)})),r)},r.featureCollection=s,r.multiLineString=l,r.multiPoint=c,r.multiPolygon=u,r.geometryCollection=function(t,e,r){return void 0===r&&(r={}),n({type:\"GeometryCollection\",geometries:t},e,r)},r.round=function(t,e){if(void 0===e&&(e=0),e&&!(e>=0))throw new Error(\"precision must be a positive number\");var r=Math.pow(10,e||0);return Math.round(t*r)/r},r.radiansToLength=f,r.lengthToRadians=h,r.lengthToDegrees=function(t,e){return p(h(t,e))},r.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},r.radiansToDegrees=p,r.degreesToRadians=function(t){return t%360*Math.PI/180},r.convertLength=function(t,e,r){if(void 0===e&&(e=\"kilometers\"),void 0===r&&(r=\"kilometers\"),!(t>=0))throw new Error(\"length must be a positive number\");return f(h(t,e),r)},r.convertArea=function(t,e,n){if(void 0===e&&(e=\"meters\"),void 0===n&&(n=\"kilometers\"),!(t>=0))throw new Error(\"area must be a positive number\");var i=r.areaFactors[e];if(!i)throw new Error(\"invalid original units\");var a=r.areaFactors[n];if(!a)throw new Error(\"invalid final units\");return t/i*a},r.isNumber=d,r.isObject=function(t){return!!t&&t.constructor===Object},r.validateBBox=function(t){if(!t)throw new Error(\"bbox is required\");if(!Array.isArray(t))throw new Error(\"bbox must be an Array\");if(4!==t.length&&6!==t.length)throw new Error(\"bbox must be an Array of 4 or 6 numbers\");t.forEach((function(t){if(!d(t))throw new Error(\"bbox must only contain numbers\")}))},r.validateId=function(t){if(!t)throw new Error(\"id is required\");if(-1===[\"string\",\"number\"].indexOf(typeof t))throw new Error(\"id must be a number or a string\")},r.radians2degrees=function(){throw new Error(\"method has been renamed to `radiansToDegrees`\")},r.degrees2radians=function(){throw new Error(\"method has been renamed to `degreesToRadians`\")},r.distanceToDegrees=function(){throw new Error(\"method has been renamed to `lengthToDegrees`\")},r.distanceToRadians=function(){throw new Error(\"method has been renamed to `lengthToRadians`\")},r.radiansToDistance=function(){throw new Error(\"method has been renamed to `radiansToLength`\")},r.bearingToAngle=function(){throw new Error(\"method has been renamed to `bearingToAzimuth`\")},r.convertDistance=function(){throw new Error(\"method has been renamed to `convertLength`\")}},{}],69:[function(t,e,r){\"use strict\";Object.defineProperty(r,\"__esModule\",{value:!0});var n=t(\"@turf/helpers\");function i(t,e,r){if(null!==t)for(var n,a,o,s,l,c,u,f,h=0,p=0,d=t.type,m=\"FeatureCollection\"===d,g=\"Feature\"===d,v=m?t.features.length:1,y=0;y<v;y++){l=(f=!!(u=m?t.features[y].geometry:g?t.geometry:t)&&\"GeometryCollection\"===u.type)?u.geometries.length:1;for(var x=0;x<l;x++){var b=0,_=0;if(null!==(s=f?u.geometries[x]:u)){c=s.coordinates;var w=s.type;switch(h=!r||\"Polygon\"!==w&&\"MultiPolygon\"!==w?0:1,w){case null:break;case\"Point\":if(!1===e(c,p,y,b,_))return!1;p++,b++;break;case\"LineString\":case\"MultiPoint\":for(n=0;n<c.length;n++){if(!1===e(c[n],p,y,b,_))return!1;p++,\"MultiPoint\"===w&&b++}\"LineString\"===w&&b++;break;case\"Polygon\":case\"MultiLineString\":for(n=0;n<c.length;n++){for(a=0;a<c[n].length-h;a++){if(!1===e(c[n][a],p,y,b,_))return!1;p++}\"MultiLineString\"===w&&b++,\"Polygon\"===w&&_++}\"Polygon\"===w&&b++;break;case\"MultiPolygon\":for(n=0;n<c.length;n++){for(_=0,a=0;a<c[n].length;a++){for(o=0;o<c[n][a].length-h;o++){if(!1===e(c[n][a][o],p,y,b,_))return!1;p++}_++}b++}break;case\"GeometryCollection\":for(n=0;n<s.geometries.length;n++)if(!1===i(s.geometries[n],e,r))return!1;break;default:throw new Error(\"Unknown Geometry Type\")}}}}}function a(t,e){var r;switch(t.type){case\"FeatureCollection\":for(r=0;r<t.features.length&&!1!==e(t.features[r].properties,r);r++);break;case\"Feature\":e(t.properties,0)}}function o(t,e){if(\"Feature\"===t.type)e(t,0);else if(\"FeatureCollection\"===t.type)for(var r=0;r<t.features.length&&!1!==e(t.features[r],r);r++);}function s(t,e){var r,n,i,a,o,s,l,c,u,f,h=0,p=\"FeatureCollection\"===t.type,d=\"Feature\"===t.type,m=p?t.features.length:1;for(r=0;r<m;r++){for(s=p?t.features[r].geometry:d?t.geometry:t,c=p?t.features[r].properties:d?t.properties:{},u=p?t.features[r].bbox:d?t.bbox:void 0,f=p?t.features[r].id:d?t.id:void 0,o=(l=!!s&&\"GeometryCollection\"===s.type)?s.geometries.length:1,i=0;i<o;i++)if(null!==(a=l?s.geometries[i]:s))switch(a.type){case\"Point\":case\"LineString\":case\"MultiPoint\":case\"Polygon\":case\"MultiLineString\":case\"MultiPolygon\":if(!1===e(a,h,c,u,f))return!1;break;case\"GeometryCollection\":for(n=0;n<a.geometries.length;n++)if(!1===e(a.geometries[n],h,c,u,f))return!1;break;default:throw new Error(\"Unknown Geometry Type\")}else if(!1===e(null,h,c,u,f))return!1;h++}}function l(t,e){s(t,(function(t,r,i,a,o){var s,l=null===t?null:t.type;switch(l){case null:case\"Point\":case\"LineString\":case\"Polygon\":return!1!==e(n.feature(t,i,{bbox:a,id:o}),r,0)&&void 0}switch(l){case\"MultiPoint\":s=\"Point\";break;case\"MultiLineString\":s=\"LineString\";break;case\"MultiPolygon\":s=\"Polygon\"}for(var c=0;c<t.coordinates.length;c++){var u={type:s,coordinates:t.coordinates[c]};if(!1===e(n.feature(u,i),r,c))return!1}}))}function c(t,e){l(t,(function(t,r,a){var o=0;if(t.geometry){var s=t.geometry.type;if(\"Point\"!==s&&\"MultiPoint\"!==s){var l,c=0,u=0,f=0;return!1!==i(t,(function(i,s,h,p,d){if(void 0===l||r>c||p>u||d>f)return l=i,c=r,u=p,f=d,void(o=0);var m=n.lineString([l,i],t.properties);if(!1===e(m,r,a,d,o))return!1;o++,l=i}))&&void 0}}}))}function u(t,e){if(!t)throw new Error(\"geojson is required\");l(t,(function(t,r,i){if(null!==t.geometry){var a=t.geometry.type,o=t.geometry.coordinates;switch(a){case\"LineString\":if(!1===e(t,r,i,0,0))return!1;break;case\"Polygon\":for(var s=0;s<o.length;s++)if(!1===e(n.lineString(o[s],t.properties),r,i,s))return!1}}}))}r.coordEach=i,r.coordReduce=function(t,e,r,n){var a=r;return i(t,(function(t,n,i,o,s){a=0===n&&void 0===r?t:e(a,t,n,i,o,s)}),n),a},r.propEach=a,r.propReduce=function(t,e,r){var n=r;return a(t,(function(t,i){n=0===i&&void 0===r?t:e(n,t,i)})),n},r.featureEach=o,r.featureReduce=function(t,e,r){var n=r;return o(t,(function(t,i){n=0===i&&void 0===r?t:e(n,t,i)})),n},r.coordAll=function(t){var e=[];return i(t,(function(t){e.push(t)})),e},r.geomEach=s,r.geomReduce=function(t,e,r){var n=r;return s(t,(function(t,i,a,o,s){n=0===i&&void 0===r?t:e(n,t,i,a,o,s)})),n},r.flattenEach=l,r.flattenReduce=function(t,e,r){var n=r;return l(t,(function(t,i,a){n=0===i&&0===a&&void 0===r?t:e(n,t,i,a)})),n},r.segmentEach=c,r.segmentReduce=function(t,e,r){var n=r,i=!1;return c(t,(function(t,a,o,s,l){n=!1===i&&void 0===r?t:e(n,t,a,o,s,l),i=!0})),n},r.lineEach=u,r.lineReduce=function(t,e,r){var n=r;return u(t,(function(t,i,a,o){n=0===i&&void 0===r?t:e(n,t,i,a,o)})),n},r.findSegment=function(t,e){if(e=e||{},!n.isObject(e))throw new Error(\"options is invalid\");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.segmentIndex||0,l=e.properties;switch(t.type){case\"FeatureCollection\":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case\"Feature\":l=l||t.properties,r=t.geometry;break;case\"Point\":case\"MultiPoint\":return null;case\"LineString\":case\"Polygon\":case\"MultiLineString\":case\"MultiPolygon\":r=t;break;default:throw new Error(\"geojson is invalid\")}if(null===r)return null;var c=r.coordinates;switch(r.type){case\"Point\":case\"MultiPoint\":return null;case\"LineString\":return s<0&&(s=c.length+s-1),n.lineString([c[s],c[s+1]],l,e);case\"Polygon\":return o<0&&(o=c.length+o),s<0&&(s=c[o].length+s-1),n.lineString([c[o][s],c[o][s+1]],l,e);case\"MultiLineString\":return a<0&&(a=c.length+a),s<0&&(s=c[a].length+s-1),n.lineString([c[a][s],c[a][s+1]],l,e);case\"MultiPolygon\":return a<0&&(a=c.length+a),o<0&&(o=c[a].length+o),s<0&&(s=c[a][o].length-s-1),n.lineString([c[a][o][s],c[a][o][s+1]],l,e)}throw new Error(\"geojson is invalid\")},r.findPoint=function(t,e){if(e=e||{},!n.isObject(e))throw new Error(\"options is invalid\");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.coordIndex||0,l=e.properties;switch(t.type){case\"FeatureCollection\":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case\"Feature\":l=l||t.properties,r=t.geometry;break;case\"Point\":case\"MultiPoint\":return null;case\"LineString\":case\"Polygon\":case\"MultiLineString\":case\"MultiPolygon\":r=t;break;default:throw new Error(\"geojson is invalid\")}if(null===r)return null;var c=r.coordinates;switch(r.type){case\"Point\":return n.point(c,l,e);case\"MultiPoint\":return a<0&&(a=c.length+a),n.point(c[a],l,e);case\"LineString\":return s<0&&(s=c.length+s),n.point(c[s],l,e);case\"Polygon\":return o<0&&(o=c.length+o),s<0&&(s=c[o].length+s),n.point(c[o][s],l,e);case\"MultiLineString\":return a<0&&(a=c.length+a),s<0&&(s=c[a].length+s),n.point(c[a][s],l,e);case\"MultiPolygon\":return a<0&&(a=c.length+a),o<0&&(o=c[a].length+o),s<0&&(s=c[a][o].length-s),n.point(c[a][o][s],l,e)}throw new Error(\"geojson is invalid\")}},{\"@turf/helpers\":68}],70:[function(t,e,r){\"use strict\";var n=\"undefined\"==typeof WeakMap?t(\"weak-map\"):WeakMap,i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=new n;e.exports=function(t){var e=o.get(t),r=e&&(e._triangleBuffer.handle||e._triangleBuffer.buffer);if(!r||!t.isBuffer(r)){var n=i(t,new Float32Array([-1,-1,-1,4,4,-1]));(e=a(t,[{buffer:n,type:t.FLOAT,size:2}]))._triangleBuffer=n,o.set(t,e)}e.bind(),t.drawArrays(t.TRIANGLES,0,3),e.unbind()}},{\"gl-buffer\":263,\"gl-vao\":357,\"weak-map\":621}],71:[function(t,e,r){e.exports=function(t){var e=0,r=0,n=0,i=0;return t.map((function(t){var a=(t=t.slice())[0],o=a.toUpperCase();if(a!=o)switch(t[0]=o,a){case\"a\":t[6]+=n,t[7]+=i;break;case\"v\":t[1]+=i;break;case\"h\":t[1]+=n;break;default:for(var s=1;s<t.length;)t[s++]+=n,t[s++]+=i}switch(o){case\"Z\":n=e,i=r;break;case\"H\":n=t[1];break;case\"V\":i=t[1];break;case\"M\":n=e=t[1],i=r=t[2];break;default:n=t[t.length-2],i=t[t.length-1]}return t}))}},{}],72:[function(t,e,r){var n=t(\"pad-left\");e.exports=function(t,e,r){e=\"number\"==typeof e?e:1,r=r||\": \";var i=t.split(/\\r?\\n/),a=String(i.length+e-1).length;return i.map((function(t,i){var o=i+e,s=String(o).length;return n(o,a-s)+r+t})).join(\"\\n\")}},{\"pad-left\":486}],73:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[0];for(var r=t[0].length,n=[t[0]],a=[0],o=1;o<e;++o)if(n.push(t[o]),i(n,r)){if(a.push(o),a.length===r+1)return a}else n.pop();return a};var n=t(\"robust-orientation\");function i(t,e){for(var r=new Array(e+1),i=0;i<t.length;++i)r[i]=t[i];for(i=0;i<=t.length;++i){for(var a=t.length;a<=e;++a){for(var o=new Array(e),s=0;s<e;++s)o[s]=Math.pow(a+1-i,s);r[a]=o}if(n.apply(void 0,r))return!0}return!1}},{\"robust-orientation\":544}],74:[function(t,e,r){\"use strict\";e.exports=function(t,e){return n(e).filter((function(r){for(var n=new Array(r.length),a=0;a<r.length;++a)n[a]=e[r[a]];return i(n)*t<1}))};var n=t(\"delaunay-triangulate\"),i=t(\"circumradius\")},{circumradius:125,\"delaunay-triangulate\":176}],75:[function(t,e,r){e.exports=function(t,e){return i(n(t,e))};var n=t(\"alpha-complex\"),i=t(\"simplicial-complex-boundary\")},{\"alpha-complex\":74,\"simplicial-complex-boundary\":552}],76:[function(t,e,r){\"use strict\";e.exports=function(t,e){if(!t||null==t.length)throw Error(\"Argument should be an array\");e=null==e?1:Math.floor(e);for(var r=Array(2*e),n=0;n<e;n++){for(var i=-1/0,a=1/0,o=n,s=t.length;o<s;o+=e)t[o]>i&&(i=t[o]),t[o]<a&&(a=t[o]);r[n]=a,r[e+n]=i}return r}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){if(\"function\"==typeof Array.prototype.findIndex)return t.findIndex(e,r);if(\"function\"!=typeof e)throw new TypeError(\"predicate must be a function\");var n=Object(t),i=n.length;if(0===i)return-1;for(var a=0;a<i;a++)if(e.call(r,n[a],a,n))return a;return-1}},{}],78:[function(t,e,r){\"use strict\";var n=t(\"array-bounds\");e.exports=function(t,e,r){if(!t||null==t.length)throw Error(\"Argument should be an array\");null==e&&(e=1);null==r&&(r=n(t,e));for(var i=0;i<e;i++){var a=r[e+i],o=r[i],s=i,l=t.length;if(a===1/0&&o===-1/0)for(s=i;s<l;s+=e)t[s]=t[s]===a?1:t[s]===o?0:.5;else if(a===1/0)for(s=i;s<l;s+=e)t[s]=t[s]===a?1:0;else if(o===-1/0)for(s=i;s<l;s+=e)t[s]=t[s]===o?0:1;else{var c=a-o;for(s=i;s<l;s+=e)isNaN(t[s])||(t[s]=0===c?.5:(t[s]-o)/c)}}return t}},{\"array-bounds\":76}],79:[function(t,e,r){e.exports=function(t,e){var r=\"number\"==typeof t,n=\"number\"==typeof e;r&&!n?(e=t,t=0):r||n||(t=0,e=0);var i=(e|=0)-(t|=0);if(i<0)throw new Error(\"array length must be positive\");for(var a=new Array(i),o=0,s=t;o<i;o++,s++)a[o]=s;return a}},{}],80:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"object-assign\");\n",
       "/*!\n",
       " * The buffer module from node.js, for the browser.\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
       " * @license  MIT\n",
       " */function i(t,e){if(t===e)return 0;for(var r=t.length,n=e.length,i=0,a=Math.min(r,n);i<a;++i)if(t[i]!==e[i]){r=t[i],n=e[i];break}return r<n?-1:n<r?1:0}function a(t){return r.Buffer&&\"function\"==typeof r.Buffer.isBuffer?r.Buffer.isBuffer(t):!(null==t||!t._isBuffer)}var o=t(\"util/\"),s=Object.prototype.hasOwnProperty,l=Array.prototype.slice,c=\"foo\"===function(){}.name;function u(t){return Object.prototype.toString.call(t)}function f(t){return!a(t)&&(\"function\"==typeof r.ArrayBuffer&&(\"function\"==typeof ArrayBuffer.isView?ArrayBuffer.isView(t):!!t&&(t instanceof DataView||!!(t.buffer&&t.buffer instanceof ArrayBuffer))))}var h=e.exports=y,p=/\\s*function\\s+([^\\(\\s]*)\\s*/;function d(t){if(o.isFunction(t)){if(c)return t.name;var e=t.toString().match(p);return e&&e[1]}}function m(t,e){return\"string\"==typeof t?t.length<e?t:t.slice(0,e):t}function g(t){if(c||!o.isFunction(t))return o.inspect(t);var e=d(t);return\"[Function\"+(e?\": \"+e:\"\")+\"]\"}function v(t,e,r,n,i){throw new h.AssertionError({message:r,actual:t,expected:e,operator:n,stackStartFunction:i})}function y(t,e){t||v(t,!0,e,\"==\",h.ok)}function x(t,e,r,n){if(t===e)return!0;if(a(t)&&a(e))return 0===i(t,e);if(o.isDate(t)&&o.isDate(e))return t.getTime()===e.getTime();if(o.isRegExp(t)&&o.isRegExp(e))return t.source===e.source&&t.global===e.global&&t.multiline===e.multiline&&t.lastIndex===e.lastIndex&&t.ignoreCase===e.ignoreCase;if(null!==t&&\"object\"==typeof t||null!==e&&\"object\"==typeof e){if(f(t)&&f(e)&&u(t)===u(e)&&!(t instanceof Float32Array||t instanceof Float64Array))return 0===i(new Uint8Array(t.buffer),new Uint8Array(e.buffer));if(a(t)!==a(e))return!1;var s=(n=n||{actual:[],expected:[]}).actual.indexOf(t);return-1!==s&&s===n.expected.indexOf(e)||(n.actual.push(t),n.expected.push(e),function(t,e,r,n){if(null==t||null==e)return!1;if(o.isPrimitive(t)||o.isPrimitive(e))return t===e;if(r&&Object.getPrototypeOf(t)!==Object.getPrototypeOf(e))return!1;var i=b(t),a=b(e);if(i&&!a||!i&&a)return!1;if(i)return t=l.call(t),e=l.call(e),x(t,e,r);var s,c,u=T(t),f=T(e);if(u.length!==f.length)return!1;for(u.sort(),f.sort(),c=u.length-1;c>=0;c--)if(u[c]!==f[c])return!1;for(c=u.length-1;c>=0;c--)if(s=u[c],!x(t[s],e[s],r,n))return!1;return!0}(t,e,r,n))}return r?t===e:t==e}function b(t){return\"[object Arguments]\"==Object.prototype.toString.call(t)}function _(t,e){if(!t||!e)return!1;if(\"[object RegExp]\"==Object.prototype.toString.call(e))return e.test(t);try{if(t instanceof e)return!0}catch(t){}return!Error.isPrototypeOf(e)&&!0===e.call({},t)}function w(t,e,r,n){var i;if(\"function\"!=typeof e)throw new TypeError('\"block\" argument must be a function');\"string\"==typeof r&&(n=r,r=null),i=function(t){var e;try{t()}catch(t){e=t}return e}(e),n=(r&&r.name?\" (\"+r.name+\").\":\".\")+(n?\" \"+n:\".\"),t&&!i&&v(i,r,\"Missing expected exception\"+n);var a=\"string\"==typeof n,s=!t&&i&&!r;if((!t&&o.isError(i)&&a&&_(i,r)||s)&&v(i,r,\"Got unwanted exception\"+n),t&&i&&r&&!_(i,r)||!t&&i)throw i}h.AssertionError=function(t){this.name=\"AssertionError\",this.actual=t.actual,this.expected=t.expected,this.operator=t.operator,t.message?(this.message=t.message,this.generatedMessage=!1):(this.message=function(t){return m(g(t.actual),128)+\" \"+t.operator+\" \"+m(g(t.expected),128)}(this),this.generatedMessage=!0);var e=t.stackStartFunction||v;if(Error.captureStackTrace)Error.captureStackTrace(this,e);else{var r=new Error;if(r.stack){var n=r.stack,i=d(e),a=n.indexOf(\"\\n\"+i);if(a>=0){var o=n.indexOf(\"\\n\",a+1);n=n.substring(o+1)}this.stack=n}}},o.inherits(h.AssertionError,Error),h.fail=v,h.ok=y,h.equal=function(t,e,r){t!=e&&v(t,e,r,\"==\",h.equal)},h.notEqual=function(t,e,r){t==e&&v(t,e,r,\"!=\",h.notEqual)},h.deepEqual=function(t,e,r){x(t,e,!1)||v(t,e,r,\"deepEqual\",h.deepEqual)},h.deepStrictEqual=function(t,e,r){x(t,e,!0)||v(t,e,r,\"deepStrictEqual\",h.deepStrictEqual)},h.notDeepEqual=function(t,e,r){x(t,e,!1)&&v(t,e,r,\"notDeepEqual\",h.notDeepEqual)},h.notDeepStrictEqual=function t(e,r,n){x(e,r,!0)&&v(e,r,n,\"notDeepStrictEqual\",t)},h.strictEqual=function(t,e,r){t!==e&&v(t,e,r,\"===\",h.strictEqual)},h.notStrictEqual=function(t,e,r){t===e&&v(t,e,r,\"!==\",h.notStrictEqual)},h.throws=function(t,e,r){w(!0,t,e,r)},h.doesNotThrow=function(t,e,r){w(!1,t,e,r)},h.ifError=function(t){if(t)throw t},h.strict=n((function t(e,r){e||v(e,!0,r,\"==\",t)}),h,{equal:h.strictEqual,deepEqual:h.deepStrictEqual,notEqual:h.notStrictEqual,notDeepEqual:h.notDeepStrictEqual}),h.strict.strict=h.strict;var T=Object.keys||function(t){var e=[];for(var r in t)s.call(t,r)&&e.push(r);return e}}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"object-assign\":483,\"util/\":83}],81:[function(t,e,r){\"function\"==typeof Object.create?e.exports=function(t,e){t.super_=e,t.prototype=Object.create(e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}})}:e.exports=function(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}},{}],82:[function(t,e,r){e.exports=function(t){return t&&\"object\"==typeof t&&\"function\"==typeof t.copy&&\"function\"==typeof t.fill&&\"function\"==typeof t.readUInt8}},{}],83:[function(t,e,r){(function(e,n){(function(){var i=/%[sdj%]/g;r.format=function(t){if(!v(t)){for(var e=[],r=0;r<arguments.length;r++)e.push(s(arguments[r]));return e.join(\" \")}r=1;for(var n=arguments,a=n.length,o=String(t).replace(i,(function(t){if(\"%%\"===t)return\"%\";if(r>=a)return t;switch(t){case\"%s\":return String(n[r++]);case\"%d\":return Number(n[r++]);case\"%j\":try{return JSON.stringify(n[r++])}catch(t){return\"[Circular]\"}default:return t}})),l=n[r];r<a;l=n[++r])m(l)||!b(l)?o+=\" \"+l:o+=\" \"+s(l);return o},r.deprecate=function(t,i){if(y(n.process))return function(){return r.deprecate(t,i).apply(this,arguments)};if(!0===e.noDeprecation)return t;var a=!1;return function(){if(!a){if(e.throwDeprecation)throw new Error(i);e.traceDeprecation?console.trace(i):console.error(i),a=!0}return t.apply(this,arguments)}};var a,o={};function s(t,e){var n={seen:[],stylize:c};return arguments.length>=3&&(n.depth=arguments[2]),arguments.length>=4&&(n.colors=arguments[3]),d(e)?n.showHidden=e:e&&r._extend(n,e),y(n.showHidden)&&(n.showHidden=!1),y(n.depth)&&(n.depth=2),y(n.colors)&&(n.colors=!1),y(n.customInspect)&&(n.customInspect=!0),n.colors&&(n.stylize=l),u(n,t,n.depth)}function l(t,e){var r=s.styles[e];return r?\"\\x1b[\"+s.colors[r][0]+\"m\"+t+\"\\x1b[\"+s.colors[r][1]+\"m\":t}function c(t,e){return t}function u(t,e,n){if(t.customInspect&&e&&T(e.inspect)&&e.inspect!==r.inspect&&(!e.constructor||e.constructor.prototype!==e)){var i=e.inspect(n,t);return v(i)||(i=u(t,i,n)),i}var a=function(t,e){if(y(e))return t.stylize(\"undefined\",\"undefined\");if(v(e)){var r=\"'\"+JSON.stringify(e).replace(/^\"|\"$/g,\"\").replace(/'/g,\"\\\\'\").replace(/\\\\\"/g,'\"')+\"'\";return t.stylize(r,\"string\")}if(g(e))return t.stylize(\"\"+e,\"number\");if(d(e))return t.stylize(\"\"+e,\"boolean\");if(m(e))return t.stylize(\"null\",\"null\")}(t,e);if(a)return a;var o=Object.keys(e),s=function(t){var e={};return t.forEach((function(t,r){e[t]=!0})),e}(o);if(t.showHidden&&(o=Object.getOwnPropertyNames(e)),w(e)&&(o.indexOf(\"message\")>=0||o.indexOf(\"description\")>=0))return f(e);if(0===o.length){if(T(e)){var l=e.name?\": \"+e.name:\"\";return t.stylize(\"[Function\"+l+\"]\",\"special\")}if(x(e))return t.stylize(RegExp.prototype.toString.call(e),\"regexp\");if(_(e))return t.stylize(Date.prototype.toString.call(e),\"date\");if(w(e))return f(e)}var c,b=\"\",k=!1,M=[\"{\",\"}\"];(p(e)&&(k=!0,M=[\"[\",\"]\"]),T(e))&&(b=\" [Function\"+(e.name?\": \"+e.name:\"\")+\"]\");return x(e)&&(b=\" \"+RegExp.prototype.toString.call(e)),_(e)&&(b=\" \"+Date.prototype.toUTCString.call(e)),w(e)&&(b=\" \"+f(e)),0!==o.length||k&&0!=e.length?n<0?x(e)?t.stylize(RegExp.prototype.toString.call(e),\"regexp\"):t.stylize(\"[Object]\",\"special\"):(t.seen.push(e),c=k?function(t,e,r,n,i){for(var a=[],o=0,s=e.length;o<s;++o)E(e,String(o))?a.push(h(t,e,r,n,String(o),!0)):a.push(\"\");return i.forEach((function(i){i.match(/^\\d+$/)||a.push(h(t,e,r,n,i,!0))})),a}(t,e,n,s,o):o.map((function(r){return h(t,e,n,s,r,k)})),t.seen.pop(),function(t,e,r){if(t.reduce((function(t,e){return e.indexOf(\"\\n\")>=0&&0,t+e.replace(/\\u001b\\[\\d\\d?m/g,\"\").length+1}),0)>60)return r[0]+(\"\"===e?\"\":e+\"\\n \")+\" \"+t.join(\",\\n  \")+\" \"+r[1];return r[0]+e+\" \"+t.join(\", \")+\" \"+r[1]}(c,b,M)):M[0]+b+M[1]}function f(t){return\"[\"+Error.prototype.toString.call(t)+\"]\"}function h(t,e,r,n,i,a){var o,s,l;if((l=Object.getOwnPropertyDescriptor(e,i)||{value:e[i]}).get?s=l.set?t.stylize(\"[Getter/Setter]\",\"special\"):t.stylize(\"[Getter]\",\"special\"):l.set&&(s=t.stylize(\"[Setter]\",\"special\")),E(n,i)||(o=\"[\"+i+\"]\"),s||(t.seen.indexOf(l.value)<0?(s=m(r)?u(t,l.value,null):u(t,l.value,r-1)).indexOf(\"\\n\")>-1&&(s=a?s.split(\"\\n\").map((function(t){return\"  \"+t})).join(\"\\n\").substr(2):\"\\n\"+s.split(\"\\n\").map((function(t){return\"   \"+t})).join(\"\\n\")):s=t.stylize(\"[Circular]\",\"special\")),y(o)){if(a&&i.match(/^\\d+$/))return s;(o=JSON.stringify(\"\"+i)).match(/^\"([a-zA-Z_][a-zA-Z_0-9]*)\"$/)?(o=o.substr(1,o.length-2),o=t.stylize(o,\"name\")):(o=o.replace(/'/g,\"\\\\'\").replace(/\\\\\"/g,'\"').replace(/(^\"|\"$)/g,\"'\"),o=t.stylize(o,\"string\"))}return o+\": \"+s}function p(t){return Array.isArray(t)}function d(t){return\"boolean\"==typeof t}function m(t){return null===t}function g(t){return\"number\"==typeof t}function v(t){return\"string\"==typeof t}function y(t){return void 0===t}function x(t){return b(t)&&\"[object RegExp]\"===k(t)}function b(t){return\"object\"==typeof t&&null!==t}function _(t){return b(t)&&\"[object Date]\"===k(t)}function w(t){return b(t)&&(\"[object Error]\"===k(t)||t instanceof Error)}function T(t){return\"function\"==typeof t}function k(t){return Object.prototype.toString.call(t)}function M(t){return t<10?\"0\"+t.toString(10):t.toString(10)}r.debuglog=function(t){if(y(a)&&(a=e.env.NODE_DEBUG||\"\"),t=t.toUpperCase(),!o[t])if(new RegExp(\"\\\\b\"+t+\"\\\\b\",\"i\").test(a)){var n=e.pid;o[t]=function(){var e=r.format.apply(r,arguments);console.error(\"%s %d: %s\",t,n,e)}}else o[t]=function(){};return o[t]},r.inspect=s,s.colors={bold:[1,22],italic:[3,23],underline:[4,24],inverse:[7,27],white:[37,39],grey:[90,39],black:[30,39],blue:[34,39],cyan:[36,39],green:[32,39],magenta:[35,39],red:[31,39],yellow:[33,39]},s.styles={special:\"cyan\",number:\"yellow\",boolean:\"yellow\",undefined:\"grey\",null:\"bold\",string:\"green\",date:\"magenta\",regexp:\"red\"},r.isArray=p,r.isBoolean=d,r.isNull=m,r.isNullOrUndefined=function(t){return null==t},r.isNumber=g,r.isString=v,r.isSymbol=function(t){return\"symbol\"==typeof t},r.isUndefined=y,r.isRegExp=x,r.isObject=b,r.isDate=_,r.isError=w,r.isFunction=T,r.isPrimitive=function(t){return null===t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||\"symbol\"==typeof t||void 0===t},r.isBuffer=t(\"./support/isBuffer\");var A=[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"];function S(){var t=new Date,e=[M(t.getHours()),M(t.getMinutes()),M(t.getSeconds())].join(\":\");return[t.getDate(),A[t.getMonth()],e].join(\" \")}function E(t,e){return Object.prototype.hasOwnProperty.call(t,e)}r.log=function(){console.log(\"%s - %s\",S(),r.format.apply(r,arguments))},r.inherits=t(\"inherits\"),r._extend=function(t,e){if(!e||!b(e))return t;for(var r=Object.keys(e),n=r.length;n--;)t[r[n]]=e[r[n]];return t}}).call(this)}).call(this,t(\"_process\"),\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"./support/isBuffer\":82,_process:524,inherits:81}],84:[function(t,e,r){e.exports=function(t){return atob(t)}},{}],85:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=e.length,a=new Array(r+1),o=0;o<r;++o){for(var s=new Array(r+1),l=0;l<=r;++l)s[l]=t[l][o];a[o]=s}a[r]=new Array(r+1);for(o=0;o<=r;++o)a[r][o]=1;var c=new Array(r+1);for(o=0;o<r;++o)c[o]=e[o];c[r]=1;var u=n(a,c),f=i(u[r+1]);0===f&&(f=1);var h=new Array(r+1);for(o=0;o<=r;++o)h[o]=i(u[o])/f;return h};var n=t(\"robust-linear-solve\");function i(t){for(var e=0,r=0;r<t.length;++r)e+=t[r];return e}},{\"robust-linear-solve\":543}],86:[function(t,e,r){\"use strict\";r.byteLength=function(t){var e=c(t),r=e[0],n=e[1];return 3*(r+n)/4-n},r.toByteArray=function(t){var e,r,n=c(t),o=n[0],s=n[1],l=new a(function(t,e,r){return 3*(e+r)/4-r}(0,o,s)),u=0,f=s>0?o-4:o;for(r=0;r<f;r+=4)e=i[t.charCodeAt(r)]<<18|i[t.charCodeAt(r+1)]<<12|i[t.charCodeAt(r+2)]<<6|i[t.charCodeAt(r+3)],l[u++]=e>>16&255,l[u++]=e>>8&255,l[u++]=255&e;2===s&&(e=i[t.charCodeAt(r)]<<2|i[t.charCodeAt(r+1)]>>4,l[u++]=255&e);1===s&&(e=i[t.charCodeAt(r)]<<10|i[t.charCodeAt(r+1)]<<4|i[t.charCodeAt(r+2)]>>2,l[u++]=e>>8&255,l[u++]=255&e);return l},r.fromByteArray=function(t){for(var e,r=t.length,i=r%3,a=[],o=0,s=r-i;o<s;o+=16383)a.push(u(t,o,o+16383>s?s:o+16383));1===i?(e=t[r-1],a.push(n[e>>2]+n[e<<4&63]+\"==\")):2===i&&(e=(t[r-2]<<8)+t[r-1],a.push(n[e>>10]+n[e>>4&63]+n[e<<2&63]+\"=\"));return a.join(\"\")};for(var n=[],i=[],a=\"undefined\"!=typeof Uint8Array?Uint8Array:Array,o=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",s=0,l=o.length;s<l;++s)n[s]=o[s],i[o.charCodeAt(s)]=s;function c(t){var e=t.length;if(e%4>0)throw new Error(\"Invalid string. Length must be a multiple of 4\");var r=t.indexOf(\"=\");return-1===r&&(r=e),[r,r===e?0:4-r%4]}function u(t,e,r){for(var i,a,o=[],s=e;s<r;s+=3)i=(t[s]<<16&16711680)+(t[s+1]<<8&65280)+(255&t[s+2]),o.push(n[(a=i)>>18&63]+n[a>>12&63]+n[a>>6&63]+n[63&a]);return o.join(\"\")}i[\"-\".charCodeAt(0)]=62,i[\"_\".charCodeAt(0)]=63},{}],87:[function(t,e,r){\"use strict\";var n=t(\"./lib/rationalize\");e.exports=function(t,e){return n(t[0].mul(e[1]).add(e[0].mul(t[1])),t[1].mul(e[1]))}},{\"./lib/rationalize\":97}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t[0].mul(e[1]).cmp(e[0].mul(t[1]))}},{}],89:[function(t,e,r){\"use strict\";var n=t(\"./lib/rationalize\");e.exports=function(t,e){return n(t[0].mul(e[1]),t[1].mul(e[0]))}},{\"./lib/rationalize\":97}],90:[function(t,e,r){\"use strict\";var n=t(\"./is-rat\"),i=t(\"./lib/is-bn\"),a=t(\"./lib/num-to-bn\"),o=t(\"./lib/str-to-bn\"),s=t(\"./lib/rationalize\"),l=t(\"./div\");e.exports=function t(e,r){if(n(e))return r?l(e,t(r)):[e[0].clone(),e[1].clone()];var c,u,f=0;if(i(e))c=e.clone();else if(\"string\"==typeof e)c=o(e);else{if(0===e)return[a(0),a(1)];if(e===Math.floor(e))c=a(e);else{for(;e!==Math.floor(e);)e*=Math.pow(2,256),f-=256;c=a(e)}}if(n(r))c.mul(r[1]),u=r[0].clone();else if(i(r))u=r.clone();else if(\"string\"==typeof r)u=o(r);else if(r)if(r===Math.floor(r))u=a(r);else{for(;r!==Math.floor(r);)r*=Math.pow(2,256),f+=256;u=a(r)}else u=a(1);f>0?c=c.ushln(f):f<0&&(u=u.ushln(-f));return s(c,u)}},{\"./div\":89,\"./is-rat\":91,\"./lib/is-bn\":95,\"./lib/num-to-bn\":96,\"./lib/rationalize\":97,\"./lib/str-to-bn\":98}],91:[function(t,e,r){\"use strict\";var n=t(\"./lib/is-bn\");e.exports=function(t){return Array.isArray(t)&&2===t.length&&n(t[0])&&n(t[1])}},{\"./lib/is-bn\":95}],92:[function(t,e,r){\"use strict\";var n=t(\"bn.js\");e.exports=function(t){return t.cmp(new n(0))}},{\"bn.js\":106}],93:[function(t,e,r){\"use strict\";var n=t(\"./bn-sign\");e.exports=function(t){var e=t.length,r=t.words,i=0;if(1===e)i=r[0];else if(2===e)i=r[0]+67108864*r[1];else for(var a=0;a<e;a++){var o=r[a];i+=o*Math.pow(67108864,a)}return n(t)*i}},{\"./bn-sign\":92}],94:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),i=t(\"bit-twiddle\").countTrailingZeros;e.exports=function(t){var e=i(n.lo(t));if(e<32)return e;var r=i(n.hi(t));if(r>20)return 52;return r+32}},{\"bit-twiddle\":104,\"double-bits\":178}],95:[function(t,e,r){\"use strict\";t(\"bn.js\");e.exports=function(t){return t&&\"object\"==typeof t&&Boolean(t.words)}},{\"bn.js\":106}],96:[function(t,e,r){\"use strict\";var n=t(\"bn.js\"),i=t(\"double-bits\");e.exports=function(t){var e=i.exponent(t);return e<52?new n(t):new n(t*Math.pow(2,52-e)).ushln(e-52)}},{\"bn.js\":106,\"double-bits\":178}],97:[function(t,e,r){\"use strict\";var n=t(\"./num-to-bn\"),i=t(\"./bn-sign\");e.exports=function(t,e){var r=i(t),a=i(e);if(0===r)return[n(0),n(1)];if(0===a)return[n(0),n(0)];a<0&&(t=t.neg(),e=e.neg());var o=t.gcd(e);if(o.cmpn(1))return[t.div(o),e.div(o)];return[t,e]}},{\"./bn-sign\":92,\"./num-to-bn\":96}],98:[function(t,e,r){\"use strict\";var n=t(\"bn.js\");e.exports=function(t){return new n(t)}},{\"bn.js\":106}],99:[function(t,e,r){\"use strict\";var n=t(\"./lib/rationalize\");e.exports=function(t,e){return n(t[0].mul(e[0]),t[1].mul(e[1]))}},{\"./lib/rationalize\":97}],100:[function(t,e,r){\"use strict\";var n=t(\"./lib/bn-sign\");e.exports=function(t){return n(t[0])*n(t[1])}},{\"./lib/bn-sign\":92}],101:[function(t,e,r){\"use strict\";var n=t(\"./lib/rationalize\");e.exports=function(t,e){return n(t[0].mul(e[1]).sub(t[1].mul(e[0])),t[1].mul(e[1]))}},{\"./lib/rationalize\":97}],102:[function(t,e,r){\"use strict\";var n=t(\"./lib/bn-to-num\"),i=t(\"./lib/ctz\");e.exports=function(t){var e=t[0],r=t[1];if(0===e.cmpn(0))return 0;var a=e.abs().divmod(r.abs()),o=a.div,s=n(o),l=a.mod,c=e.negative!==r.negative?-1:1;if(0===l.cmpn(0))return c*s;if(s){var u=i(s)+4,f=n(l.ushln(u).divRound(r));return c*(s+f*Math.pow(2,-u))}var h=r.bitLength()-l.bitLength()+53;f=n(l.ushln(h).divRound(r));return h<1023?c*f*Math.pow(2,-h):(f*=Math.pow(2,-1023),c*f*Math.pow(2,1023-h))}},{\"./lib/bn-to-num\":93,\"./lib/ctz\":94}],103:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){for(var a=i+1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)>=0?(a=o,i=o-1):n=o+1}return a}function i(t,e,r,n,i){for(var a=i+1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)>0?(a=o,i=o-1):n=o+1}return a}function a(t,e,r,n,i){for(var a=n-1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)<0?(a=o,n=o+1):i=o-1}return a}function o(t,e,r,n,i){for(var a=n-1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)<=0?(a=o,n=o+1):i=o-1}return a}function s(t,e,r,n,i){for(;n<=i;){var a=n+i>>>1,o=t[a],s=void 0!==r?r(o,e):o-e;if(0===s)return a;s<=0?n=a+1:i=a-1}return-1}function l(t,e,r,n,i,a){return\"function\"==typeof r?a(t,e,r,void 0===n?0:0|n,void 0===i?t.length-1:0|i):a(t,e,void 0,void 0===r?0:0|r,void 0===n?t.length-1:0|n)}e.exports={ge:function(t,e,r,i,a){return l(t,e,r,i,a,n)},gt:function(t,e,r,n,a){return l(t,e,r,n,a,i)},lt:function(t,e,r,n,i){return l(t,e,r,n,i,a)},le:function(t,e,r,n,i){return l(t,e,r,n,i,o)},eq:function(t,e,r,n,i){return l(t,e,r,n,i,s)}}},{}],104:[function(t,e,r){\"use strict\";function n(t){var e=32;return(t&=-t)&&e--,65535&t&&(e-=16),16711935&t&&(e-=8),252645135&t&&(e-=4),858993459&t&&(e-=2),1431655765&t&&(e-=1),e}r.INT_BITS=32,r.INT_MAX=2147483647,r.INT_MIN=-1<<31,r.sign=function(t){return(t>0)-(t<0)},r.abs=function(t){var e=t>>31;return(t^e)-e},r.min=function(t,e){return e^(t^e)&-(t<e)},r.max=function(t,e){return t^(t^e)&-(t<e)},r.isPow2=function(t){return!(t&t-1||!t)},r.log2=function(t){var e,r;return e=(t>65535)<<4,e|=r=((t>>>=e)>255)<<3,e|=r=((t>>>=r)>15)<<2,(e|=r=((t>>>=r)>3)<<1)|(t>>>=r)>>1},r.log10=function(t){return t>=1e9?9:t>=1e8?8:t>=1e7?7:t>=1e6?6:t>=1e5?5:t>=1e4?4:t>=1e3?3:t>=100?2:t>=10?1:0},r.popCount=function(t){return 16843009*((t=(858993459&(t-=t>>>1&1431655765))+(t>>>2&858993459))+(t>>>4)&252645135)>>>24},r.countTrailingZeros=n,r.nextPow2=function(t){return t+=0===t,--t,t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,(t|=t>>>16)+1},r.prevPow2=function(t){return t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,(t|=t>>>16)-(t>>>1)},r.parity=function(t){return t^=t>>>16,t^=t>>>8,t^=t>>>4,27030>>>(t&=15)&1};var i=new Array(256);!function(t){for(var e=0;e<256;++e){var r=e,n=e,i=7;for(r>>>=1;r;r>>>=1)n<<=1,n|=1&r,--i;t[e]=n<<i&255}}(i),r.reverse=function(t){return i[255&t]<<24|i[t>>>8&255]<<16|i[t>>>16&255]<<8|i[t>>>24&255]},r.interleave2=function(t,e){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t&=65535)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e&=65535)|e<<8))|e<<4))|e<<2))|e<<1))<<1},r.deinterleave2=function(t,e){return(t=65535&((t=16711935&((t=252645135&((t=858993459&((t=t>>>e&1431655765)|t>>>1))|t>>>2))|t>>>4))|t>>>16))<<16>>16},r.interleave3=function(t,e,r){return t=1227133513&((t=3272356035&((t=251719695&((t=4278190335&((t&=1023)|t<<16))|t<<8))|t<<4))|t<<2),(t|=(e=1227133513&((e=3272356035&((e=251719695&((e=4278190335&((e&=1023)|e<<16))|e<<8))|e<<4))|e<<2))<<1)|(r=1227133513&((r=3272356035&((r=251719695&((r=4278190335&((r&=1023)|r<<16))|r<<8))|r<<4))|r<<2))<<2},r.deinterleave3=function(t,e){return(t=1023&((t=4278190335&((t=251719695&((t=3272356035&((t=t>>>e&1227133513)|t>>>2))|t>>>4))|t>>>8))|t>>>16))<<22>>22},r.nextCombination=function(t){var e=t|t-1;return e+1|(~e&-~e)-1>>>n(t)+1}},{}],105:[function(t,e,r){\"use strict\";var n=t(\"clamp\");e.exports=function(t,e){e||(e={});var r,o,s,l,c,u,f,h,p,d,m,g=null==e.cutoff?.25:e.cutoff,v=null==e.radius?8:e.radius,y=e.channel||0;if(ArrayBuffer.isView(t)||Array.isArray(t)){if(!e.width||!e.height)throw Error(\"For raw data width and height should be provided by options\");r=e.width,o=e.height,l=t,u=e.stride?e.stride:Math.floor(t.length/r/o)}else window.HTMLCanvasElement&&t instanceof window.HTMLCanvasElement?(f=(h=t).getContext(\"2d\"),r=h.width,o=h.height,p=f.getImageData(0,0,r,o),l=p.data,u=4):window.CanvasRenderingContext2D&&t instanceof window.CanvasRenderingContext2D?(h=t.canvas,f=t,r=h.width,o=h.height,p=f.getImageData(0,0,r,o),l=p.data,u=4):window.ImageData&&t instanceof window.ImageData&&(p=t,r=t.width,o=t.height,l=p.data,u=4);if(s=Math.max(r,o),window.Uint8ClampedArray&&l instanceof window.Uint8ClampedArray||window.Uint8Array&&l instanceof window.Uint8Array)for(c=l,l=Array(r*o),d=0,m=c.length;d<m;d++)l[d]=c[d*u+y]/255;else if(1!==u)throw Error(\"Raw data can have only 1 value per pixel\");var x=Array(r*o),b=Array(r*o),_=Array(s),w=Array(s),T=Array(s+1),k=Array(s);for(d=0,m=r*o;d<m;d++){var M=l[d];x[d]=1===M?0:0===M?i:Math.pow(Math.max(0,.5-M),2),b[d]=1===M?i:0===M?0:Math.pow(Math.max(0,M-.5),2)}a(x,r,o,_,w,k,T),a(b,r,o,_,w,k,T);var A=window.Float32Array?new Float32Array(r*o):new Array(r*o);for(d=0,m=r*o;d<m;d++)A[d]=n(1-((x[d]-b[d])/v+g),0,1);return A};var i=1e20;function a(t,e,r,n,i,a,s){for(var l=0;l<e;l++){for(var c=0;c<r;c++)n[c]=t[c*e+l];for(o(n,i,a,s,r),c=0;c<r;c++)t[c*e+l]=i[c]}for(c=0;c<r;c++){for(l=0;l<e;l++)n[l]=t[c*e+l];for(o(n,i,a,s,e),l=0;l<e;l++)t[c*e+l]=Math.sqrt(i[l])}}function o(t,e,r,n,a){r[0]=0,n[0]=-i,n[1]=+i;for(var o=1,s=0;o<a;o++){for(var l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);l<=n[s];)s--,l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);r[++s]=o,n[s]=l,n[s+1]=+i}for(o=0,s=0;o<a;o++){for(;n[s+1]<o;)s++;e[o]=(o-r[s])*(o-r[s])+t[r[s]]}}},{clamp:126}],106:[function(t,e,r){!function(e,r){\"use strict\";function n(t,e){if(!t)throw new Error(e||\"Assertion failed\")}function i(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}function a(t,e,r){if(a.isBN(t))return t;this.negative=0,this.words=null,this.length=0,this.red=null,null!==t&&(\"le\"!==e&&\"be\"!==e||(r=e,e=10),this._init(t||0,e||10,r||\"be\"))}var o;\"object\"==typeof e?e.exports=a:r.BN=a,a.BN=a,a.wordSize=26;try{o=t(\"buffer\").Buffer}catch(t){}function s(t,e,r){for(var n=0,i=Math.min(t.length,r),a=e;a<i;a++){var o=t.charCodeAt(a)-48;n<<=4,n|=o>=49&&o<=54?o-49+10:o>=17&&o<=22?o-17+10:15&o}return n}function l(t,e,r,n){for(var i=0,a=Math.min(t.length,r),o=e;o<a;o++){var s=t.charCodeAt(o)-48;i*=n,i+=s>=49?s-49+10:s>=17?s-17+10:s}return i}a.isBN=function(t){return t instanceof a||null!==t&&\"object\"==typeof t&&t.constructor.wordSize===a.wordSize&&Array.isArray(t.words)},a.max=function(t,e){return t.cmp(e)>0?t:e},a.min=function(t,e){return t.cmp(e)<0?t:e},a.prototype._init=function(t,e,r){if(\"number\"==typeof t)return this._initNumber(t,e,r);if(\"object\"==typeof t)return this._initArray(t,e,r);\"hex\"===e&&(e=16),n(e===(0|e)&&e>=2&&e<=36);var i=0;\"-\"===(t=t.toString().replace(/\\s+/g,\"\"))[0]&&i++,16===e?this._parseHex(t,i):this._parseBase(t,e,i),\"-\"===t[0]&&(this.negative=1),this.strip(),\"le\"===r&&this._initArray(this.toArray(),e,r)},a.prototype._initNumber=function(t,e,r){t<0&&(this.negative=1,t=-t),t<67108864?(this.words=[67108863&t],this.length=1):t<4503599627370496?(this.words=[67108863&t,t/67108864&67108863],this.length=2):(n(t<9007199254740992),this.words=[67108863&t,t/67108864&67108863,1],this.length=3),\"le\"===r&&this._initArray(this.toArray(),e,r)},a.prototype._initArray=function(t,e,r){if(n(\"number\"==typeof t.length),t.length<=0)return this.words=[0],this.length=1,this;this.length=Math.ceil(t.length/3),this.words=new Array(this.length);for(var i=0;i<this.length;i++)this.words[i]=0;var a,o,s=0;if(\"be\"===r)for(i=t.length-1,a=0;i>=0;i-=3)o=t[i]|t[i-1]<<8|t[i-2]<<16,this.words[a]|=o<<s&67108863,this.words[a+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,a++);else if(\"le\"===r)for(i=0,a=0;i<t.length;i+=3)o=t[i]|t[i+1]<<8|t[i+2]<<16,this.words[a]|=o<<s&67108863,this.words[a+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,a++);return this.strip()},a.prototype._parseHex=function(t,e){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var r=0;r<this.length;r++)this.words[r]=0;var n,i,a=0;for(r=t.length-6,n=0;r>=e;r-=6)i=s(t,r,r+6),this.words[n]|=i<<a&67108863,this.words[n+1]|=i>>>26-a&4194303,(a+=24)>=26&&(a-=26,n++);r+6!==e&&(i=s(t,e,r+6),this.words[n]|=i<<a&67108863,this.words[n+1]|=i>>>26-a&4194303),this.strip()},a.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,i=1;i<=67108863;i*=e)n++;n--,i=i/e|0;for(var a=t.length-r,o=a%n,s=Math.min(a,a-o)+r,c=0,u=r;u<s;u+=n)c=l(t,u,u+n,e),this.imuln(i),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c);if(0!==o){var f=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)f*=e;this.imuln(f),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},a.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},a.prototype.clone=function(){var t=new a(null);return this.copy(t),t},a.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},a.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},a.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},a.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],f=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function h(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,f=67108863&l,h=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=h;p++){var d=c-p|0;u+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[c]=0|f,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!==(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var h=u[t],p=f[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var m=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?m+r:c[h-m.length]+m+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base should be between 2 and 36\")},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,\"Number can only safely store up to 53 bits\"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,\"byte array longer than desired length\"),n(a>0,\"Requested array length <= 0\"),this.strip();var o,s,l=\"le\"===e,c=new t(a),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<a;s++)c[s]=0}else{for(s=0;s<a-i;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[a-s-1]=o}return c},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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 p=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,M=0|o[5],A=8191&M,S=M>>>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,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|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,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(A,H)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,H)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,H)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,i=(i=i+Math.imul(A,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,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(S,$)|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 Mt=(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)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,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 At=(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)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,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(A,lt)|0,i=(i=i+Math.imul(A,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(A,ft)|0,i=(i=i+Math.imul(A,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(A,dt)|0)|0)+((8191&(i=(i=i+Math.imul(A,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]=Mt,l[10]=At,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 d(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(p=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?h(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):d(this,t,e)},m.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},m.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},m.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]]},m.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)}},m.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},m.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}},m.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},m.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))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.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),d(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 e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red 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 g={k256:null,p224:null,p192:null,p25519:null};function v(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 y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(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 T(t){w.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)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.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):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(y,v),y.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},y.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(x,v),i(b,v),i(_,v),_.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(g[t])return g[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return g[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.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\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.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)},w.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},w.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)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.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},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.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},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new T(t)},i(T,w),T.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},T.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},T.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)},T.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)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:115}],107:[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}},{}],108:[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\":110,\"./lib/sweep\":114,\"typedarray-pool\":613}],109:[function(t,e,r){\"use strict\";var n=[\"d\",\"ax\",\"vv\",\"rs\",\"re\",\"rb\",\"ri\",\"bs\",\"be\",\"bb\",\"bi\"];function i(t){var e=\"bruteForce\"+(t?\"Full\":\"Partial\"),r=[],i=n.slice();t||i.splice(3,0,\"fp\");var a=[\"function \"+e+\"(\"+i.join()+\"){\"];function o(e,i){var o=function(t,e,r){var i=\"bruteForce\"+(t?\"Red\":\"Blue\")+(e?\"Flip\":\"\")+(r?\"Full\":\"\"),a=[\"function \",i,\"(\",n.join(),\"){\",\"var \",\"es\",\"=2*\",\"d\",\";\"],o=\"for(var i=rs,rp=es*rs;i<re;++i,rp+=es){var x0=rb[ax+rp],x1=rb[ax+rp+d],xi=ri[i];\",s=\"for(var j=bs,bp=es*bs;j<be;++j,bp+=es){var y0=bb[ax+bp],\"+(r?\"y1=bb[ax+bp+d],\":\"\")+\"yi=bi[j];\";return t?a.push(o,\"Q\",\":\",s):a.push(s,\"Q\",\":\",o),r?a.push(\"if(y1<x0||x1<y0)continue;\"):e?a.push(\"if(y0<=x0||x1<y0)continue;\"):a.push(\"if(y0<x0||x1<y0)continue;\"),a.push(\"for(var k=ax+1;k<d;++k){var r0=rb[k+rp],r1=rb[k+d+rp],b0=bb[k+bp],b1=bb[k+d+bp];if(r1<b0||b1<r0)continue Q;}var rv=vv(\"),e?a.push(\"yi,xi\"):a.push(\"xi,yi\"),a.push(\");if(rv!==void 0)return rv;}}}\"),{name:i,code:a.join(\"\")}}(e,i,t);r.push(o.code),a.push(\"return \"+o.name+\"(\"+n.join()+\");\")}a.push(\"if(re-rs>be-bs){\"),t?(o(!0,!1),a.push(\"}else{\"),o(!1,!1)):(a.push(\"if(fp){\"),o(!0,!0),a.push(\"}else{\"),o(!0,!1),a.push(\"}}else{if(fp){\"),o(!1,!0),a.push(\"}else{\"),o(!1,!1),a.push(\"}\")),a.push(\"}}return \"+e);var s=r.join(\"\")+a.join(\"\");return new Function(s)()}r.partial=i(!1),r.full=i(!0)},{}],110:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,u,w,T,k,M){!function(t,e){var r=8*i.log2(e+1)*(t+1)|0,a=i.nextPow2(6*r);v.length<a&&(n.free(v),v=n.mallocInt32(a));var o=i.nextPow2(2*r);y.length<o&&(n.free(y),y=n.mallocDouble(o))}(t,a+T);var A,S=0,E=2*t;x(S++,0,0,a,0,T,r?16:0,-1/0,1/0),r||x(S++,0,0,T,0,a,1,-1/0,1/0);for(;S>0;){var L=6*(S-=1),C=v[L],P=v[L+1],I=v[L+2],O=v[L+3],z=v[L+4],D=v[L+5],R=2*S,F=y[R],B=y[R+1],N=1&D,j=!!(16&D),U=u,V=w,q=k,H=M;if(N&&(U=k,V=M,q=u,H=w),!(2&D&&(I=p(t,C,P,I,U,V,B),P>=I)||4&D&&(P=d(t,C,P,I,U,V,F))>=I)){var G=I-P,Y=z-O;if(j){if(t*G*(G+Y)<1<<22){if(void 0!==(A=l.scanComplete(t,C,e,P,I,U,V,O,z,q,H)))return A;continue}}else{if(t*Math.min(G,Y)<128){if(void 0!==(A=o(t,C,e,N,P,I,U,V,O,z,q,H)))return A;continue}if(t*G*Y<1<<22){if(void 0!==(A=l.scanBipartite(t,C,e,N,P,I,U,V,O,z,q,H)))return A;continue}}var W=f(t,C,P,I,U,V,F,B);if(P<W)if(t*(W-P)<128){if(void 0!==(A=s(t,C+1,e,P,W,U,V,O,z,q,H)))return A}else if(C===t-2){if(void 0!==(A=N?l.sweepBipartite(t,e,O,z,q,H,P,W,U,V):l.sweepBipartite(t,e,P,W,U,V,O,z,q,H)))return A}else x(S++,C+1,P,W,O,z,N,-1/0,1/0),x(S++,C+1,O,z,P,W,1^N,-1/0,1/0);if(W<I){var X=c(t,C,O,z,q,H),Z=q[E*X+C],J=h(t,C,X,z,q,H,Z);if(J<z&&x(S++,C,W,I,J,z,(4|N)+(j?16:0),Z,B),O<X&&x(S++,C,W,I,O,X,(2|N)+(j?16:0),F,Z),X+1===J){if(void 0!==(A=j?_(t,C,e,W,I,U,V,X,q,H[X]):b(t,C,e,N,W,I,U,V,X,q,H[X])))return A}else if(X<J){var K;if(j){if(K=m(t,C,W,I,U,V,Z),W<K){var Q=h(t,C,W,K,U,V,Z);if(C===t-2){if(W<Q&&void 0!==(A=l.sweepComplete(t,e,W,Q,U,V,X,J,q,H)))return A;if(Q<K&&void 0!==(A=l.sweepBipartite(t,e,Q,K,U,V,X,J,q,H)))return A}else W<Q&&x(S++,C+1,W,Q,X,J,16,-1/0,1/0),Q<K&&(x(S++,C+1,Q,K,X,J,0,-1/0,1/0),x(S++,C+1,X,J,Q,K,1,-1/0,1/0))}}else K=N?g(t,C,W,I,U,V,Z):m(t,C,W,I,U,V,Z),W<K&&(C===t-2?A=N?l.sweepBipartite(t,e,X,J,q,H,W,K,U,V):l.sweepBipartite(t,e,W,K,U,V,X,J,q,H):(x(S++,C+1,W,K,X,J,N,-1/0,1/0),x(S++,C+1,X,J,W,K,1^N,-1/0,1/0)))}}}}};var n=t(\"typedarray-pool\"),i=t(\"bit-twiddle\"),a=t(\"./brute\"),o=a.partial,s=a.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),f=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),h=u(\"lo===p0\",[\"p0\"]),p=u(\"lo<p0\",[\"p0\"]),d=u(\"hi<=p0\",[\"p0\"]),m=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),g=u(\"lo<p0&&p0<=hi\",[\"p0\"]),v=n.mallocInt32(1024),y=n.mallocDouble(1024);function x(t,e,r,n,i,a,o,s,l){var c=6*t;v[c]=e,v[c+1]=r,v[c+2]=n,v[c+3]=i,v[c+4]=a,v[c+5]=o;var u=2*t;y[u]=s,y[u+1]=l}function b(t,e,r,n,i,a,o,s,l,c,u){var f=2*t,h=l*f,p=c[h+e];t:for(var d=i,m=i*f;d<a;++d,m+=f){var g=o[m+e],v=o[m+e+t];if(!(p<g||v<p)&&(!n||p!==g)){for(var y,x=s[d],b=e+1;b<t;++b){g=o[m+b],v=o[m+b+t];var _=c[h+b],w=c[h+b+t];if(v<_||w<g)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function _(t,e,r,n,i,a,o,s,l,c){var u=2*t,f=s*u,h=l[f+e];t:for(var p=n,d=n*u;p<i;++p,d+=u){var m=o[p];if(m!==c){var g=a[d+e],v=a[d+e+t];if(!(h<g||v<h)){for(var y=e+1;y<t;++y){g=a[d+y],v=a[d+y+t];var x=l[f+y],b=l[f+y+t];if(v<x||b<g)continue t}var _=r(m,c);if(void 0!==_)return _}}}}},{\"./brute\":109,\"./median\":111,\"./partition\":112,\"./sweep\":114,\"bit-twiddle\":104,\"typedarray-pool\":613}],111:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,o,s){if(a<=r+1)return r;var l=r,c=a,u=a+r>>>1,f=2*t,h=u,p=o[f*u+e];for(;l<c;){if(c-l<8){i(t,e,l,c,o,s),p=o[f*u+e];break}var d=c-l,m=Math.random()*d+l|0,g=o[f*m+e],v=Math.random()*d+l|0,y=o[f*v+e],x=Math.random()*d+l|0,b=o[f*x+e];g<=y?b>=y?(h=v,p=y):g>=b?(h=m,p=g):(h=x,p=b):y>=b?(h=v,p=y):b>=g?(h=m,p=g):(h=x,p=b);for(var _=f*(c-1),w=f*h,T=0;T<f;++T,++_,++w){var k=o[_];o[_]=o[w],o[w]=k}var M=s[c-1];s[c-1]=s[h],s[h]=M,h=n(t,e,l,c-1,o,s,p);for(_=f*(c-1),w=f*h,T=0;T<f;++T,++_,++w){k=o[_];o[_]=o[w],o[w]=k}M=s[c-1];if(s[c-1]=s[h],s[h]=M,u<h){for(c=h-1;l<c&&o[f*(c-1)+e]===p;)c-=1;c+=1}else{if(!(h<u))break;for(l=h+1;l<c&&o[f*l+e]===p;)l+=1}}return n(t,e,r,u,o,s,o[f*u+e])};var n=t(\"./partition\")(\"lo<p0\",[\"p0\"]);function i(t,e,r,n,i,a){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=i[s],u=l,f=o*(l-1);u>r&&i[f+e]>c;--u,f-=o){for(var h=f,p=f+o,d=0;d<o;++d,++h,++p){var m=i[h];i[h]=i[p],i[p]=m}var g=a[u];a[u]=a[u-1],a[u-1]=g}}},{\"./partition\":112}],112:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),n=[];t.indexOf(\"lo\")>=0&&n.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&n.push(\"hi=e[k+o]\");return r.push(\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\".replace(\"_\",n.join()).replace(\"$\",t)),Function.apply(void 0,r)}},{}],113:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=128?n(0,e-1,t):function t(e,r,u){var f=(r-e+1)/6|0,h=e+f,p=r-f,d=e+r>>1,m=d-f,g=d+f,v=h,y=m,x=d,b=g,_=p,w=e+1,T=r-1,k=0;l(v,y,u)&&(k=v,v=y,y=k);l(b,_,u)&&(k=b,b=_,_=k);l(v,x,u)&&(k=v,v=x,x=k);l(y,x,u)&&(k=y,y=x,x=k);l(v,b,u)&&(k=v,v=b,b=k);l(x,b,u)&&(k=x,x=b,b=k);l(y,_,u)&&(k=y,y=_,_=k);l(y,x,u)&&(k=y,y=x,x=k);l(b,_,u)&&(k=b,b=_,_=k);for(var M=u[2*y],A=u[2*y+1],S=u[2*b],E=u[2*b+1],L=2*v,C=2*x,P=2*_,I=2*h,O=2*d,z=2*p,D=0;D<2;++D){var R=u[L+D],F=u[C+D],B=u[P+D];u[I+D]=R,u[O+D]=F,u[z+D]=B}a(m,e,u),a(g,r,u);for(var N=w;N<=T;++N)if(c(N,M,A,u))N!==w&&i(N,w,u),++w;else if(!c(N,S,E,u))for(;;){if(c(T,S,E,u)){c(T,M,A,u)?(o(N,w,T,u),++w,--T):(i(N,T,u),--T);break}if(--T<N)break}s(e,w-1,M,A,u),s(r,T+1,S,E,u),w-2-e<=32?n(e,w-2,u):t(e,w-2,u);r-(T+2)<=32?n(T+2,r,u):t(T+2,r,u);T-w<=32?n(w,T,u):t(w,T,u)}(0,e-1,t)};function n(t,e,r){for(var n=2*(t+1),i=t+1;i<=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- >t;){var c=r[l-2],u=r[l-1];if(c<a)break;if(c===a&&u<o)break;r[l]=c,r[l+1]=u,l-=2}r[l]=a,r[l+1]=o}}function i(t,e,r){e*=2;var n=r[t*=2],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function a(t,e,r){e*=2,r[t*=2]=r[e],r[t+1]=r[e+1]}function o(t,e,r,n){e*=2,r*=2;var i=n[t*=2],a=n[t+1];n[t]=n[e],n[t+1]=n[e+1],n[e]=n[r],n[e+1]=n[r+1],n[r]=i,n[r+1]=a}function s(t,e,r,n,i){e*=2,i[t*=2]=i[e],i[e]=r,i[t+1]=i[e+1],i[e+1]=n}function l(t,e,r){e*=2;var n=r[t*=2],i=r[e];return!(n<i)&&(n!==i||r[t+1]>r[e+1])}function c(t,e,r,n){var i=n[t*=2];return i<e||i===e&&n[t+1]<r}},{}],114:[function(t,e,r){\"use strict\";e.exports={init:function(t){var 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 M=x*w;h[y++]=g[M+b],h[y++]=-T,h[y++]=g[M+_],h[y++]=T}var A=y>>>1;a(h,A);var S=0,E=0;for(w=0;w<A;++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 M=m[k]+1<<1,A=_*k;h[b++]=i[A+w],h[b++]=-M,h[b++]=i[A+T],h[b++]=M}for(k=g;k<v;++k){M=x[k]+1<<1;var S=_*k;h[b++]=y[S+w],h[b++]=1|-M,h[b++]=y[S+T],h[b++]=1|M}var E=b>>>1;a(h,E);var L=0,C=0,P=0;for(k=0;k<E;++k){var I=0|h[2*k+1],O=1&I;if(k<E-1&&I>>1==h[2*k+3]>>1&&(O=2,k+=1),I<0){for(var z=-(I>>1)-1,D=0;D<P;++D){if(void 0!==(R=e(u[D],z)))return R}if(0!==O)for(D=0;D<L;++D){if(void 0!==(R=e(o[D],z)))return R}if(1!==O)for(D=0;D<C;++D){var R;if(void 0!==(R=e(l[D],z)))return R}0===O?d(o,s,L++,z):1===O?d(l,c,C++,z):2===O&&d(u,f,P++,z)}else{z=(I>>1)-1;0===O?p(o,s,L--,z):1===O?p(l,c,C--,z):2===O&&p(u,f,P--,z)}}},scanBipartite:function(t,e,r,n,i,l,c,u,f,m,g,v){var y=0,x=2*t,b=e,_=e+t,w=1,T=1;n?T=1<<28:w=1<<28;for(var k=i;k<l;++k){var M=k+w,A=x*k;h[y++]=c[A+b],h[y++]=-M,h[y++]=c[A+_],h[y++]=M}for(k=f;k<m;++k){M=k+T;var S=x*k;h[y++]=g[S+b],h[y++]=-M}var E=y>>>1;a(h,E);var L=0;for(k=0;k<E;++k){var C=0|h[2*k+1];if(C<0){var P=!1;if((M=-C)>=1<<28?(P=!n,M-=1<<28):(P=!!n,M-=1),P)d(o,s,L++,M);else{var I=v[M],O=x*M,z=g[O+e+1],D=g[O+e+1+t];t:for(var R=0;R<L;++R){var F=o[R],B=x*F;if(!(D<c[B+e+1]||c[B+e+1+t]<z)){for(var N=e+2;N<t;++N)if(g[O+N+t]<c[B+N]||c[B+N+t]<g[O+N])continue t;var j,U=u[F];if(void 0!==(j=n?r(I,U):r(U,I)))return j}}}}else p(o,s,L--,C-w)}},scanComplete:function(t,e,r,n,i,s,l,c,u,f,p){for(var d=0,m=2*t,g=e,v=e+t,y=n;y<i;++y){var x=y+(1<<28),b=m*y;h[d++]=s[b+g],h[d++]=-x,h[d++]=s[b+v],h[d++]=x}for(y=c;y<u;++y){x=y+1;var _=m*y;h[d++]=f[_+g],h[d++]=-x}var w=d>>>1;a(h,w);var T=0;for(y=0;y<w;++y){var k=0|h[2*y+1];if(k<0){if((x=-k)>=1<<28)o[T++]=x-(1<<28);else{var M=p[x-=1],A=m*x,S=f[A+e+1],E=f[A+e+1+t];t:for(var L=0;L<T;++L){var C=o[L],P=l[C];if(P===M)break;var I=m*C;if(!(E<s[I+e+1]||s[I+e+1+t]<S)){for(var O=e+2;O<t;++O)if(f[A+O+t]<s[I+O]||s[I+O+t]<f[A+O])continue t;var z=r(P,M);if(void 0!==z)return z}}}}else{for(x=k-(1<<28),L=T-1;L>=0;--L)if(o[L]===x){for(O=L+1;O<T;++O)o[O-1]=o[O];break}--T}}}};var n=t(\"typedarray-pool\"),i=t(\"bit-twiddle\"),a=t(\"./sort\"),o=n.mallocInt32(1024),s=n.mallocInt32(1024),l=n.mallocInt32(1024),c=n.mallocInt32(1024),u=n.mallocInt32(1024),f=n.mallocInt32(1024),h=n.mallocDouble(8192);function p(t,e,r,n){var i=e[n],a=t[r-1];t[i]=a,e[a]=i}function d(t,e,r,n){t[r]=n,e[n]=r}},{\"./sort\":113,\"bit-twiddle\":104,\"typedarray-pool\":613}],115:[function(t,e,r){},{}],116:[function(t,e,r){\"use strict\";var n,i=\"object\"==typeof Reflect?Reflect:null,a=i&&\"function\"==typeof i.apply?i.apply:function(t,e,r){return Function.prototype.apply.call(t,e,r)};n=i&&\"function\"==typeof i.ownKeys?i.ownKeys:Object.getOwnPropertySymbols?function(t){return Object.getOwnPropertyNames(t).concat(Object.getOwnPropertySymbols(t))}:function(t){return Object.getOwnPropertyNames(t)};var o=Number.isNaN||function(t){return t!=t};function s(){s.init.call(this)}e.exports=s,e.exports.once=function(t,e){return new Promise((function(r,n){function i(){void 0!==a&&t.removeListener(\"error\",a),r([].slice.call(arguments))}var a;\"error\"!==e&&(a=function(r){t.removeListener(e,i),n(r)},t.once(\"error\",a)),t.once(e,i)}))},s.EventEmitter=s,s.prototype._events=void 0,s.prototype._eventsCount=0,s.prototype._maxListeners=void 0;var l=10;function c(t){if(\"function\"!=typeof t)throw new TypeError('The \"listener\" argument must be of type Function. Received type '+typeof t)}function u(t){return void 0===t._maxListeners?s.defaultMaxListeners:t._maxListeners}function f(t,e,r,n){var i,a,o,s;if(c(r),void 0===(a=t._events)?(a=t._events=Object.create(null),t._eventsCount=0):(void 0!==a.newListener&&(t.emit(\"newListener\",e,r.listener?r.listener:r),a=t._events),o=a[e]),void 0===o)o=a[e]=r,++t._eventsCount;else if(\"function\"==typeof o?o=a[e]=n?[r,o]:[o,r]:n?o.unshift(r):o.push(r),(i=u(t))>0&&o.length>i&&!o.warned){o.warned=!0;var l=new Error(\"Possible EventEmitter memory leak detected. \"+o.length+\" \"+String(e)+\" listeners added. Use emitter.setMaxListeners() to increase limit\");l.name=\"MaxListenersExceededWarning\",l.emitter=t,l.type=e,l.count=o.length,s=l,console&&console.warn&&console.warn(s)}return t}function h(){if(!this.fired)return this.target.removeListener(this.type,this.wrapFn),this.fired=!0,0===arguments.length?this.listener.call(this.target):this.listener.apply(this.target,arguments)}function p(t,e,r){var n={fired:!1,wrapFn:void 0,target:t,type:e,listener:r},i=h.bind(n);return i.listener=r,n.wrapFn=i,i}function d(t,e,r){var n=t._events;if(void 0===n)return[];var i=n[e];return void 0===i?[]:\"function\"==typeof i?r?[i.listener||i]:[i]:r?function(t){for(var e=new Array(t.length),r=0;r<e.length;++r)e[r]=t[r].listener||t[r];return e}(i):g(i,i.length)}function m(t){var e=this._events;if(void 0!==e){var r=e[t];if(\"function\"==typeof r)return 1;if(void 0!==r)return r.length}return 0}function g(t,e){for(var r=new Array(e),n=0;n<e;++n)r[n]=t[n];return r}Object.defineProperty(s,\"defaultMaxListeners\",{enumerable:!0,get:function(){return l},set:function(t){if(\"number\"!=typeof t||t<0||o(t))throw new RangeError('The value of \"defaultMaxListeners\" is out of range. It must be a non-negative number. Received '+t+\".\");l=t}}),s.init=function(){void 0!==this._events&&this._events!==Object.getPrototypeOf(this)._events||(this._events=Object.create(null),this._eventsCount=0),this._maxListeners=this._maxListeners||void 0},s.prototype.setMaxListeners=function(t){if(\"number\"!=typeof t||t<0||o(t))throw new RangeError('The value of \"n\" is out of range. It must be a non-negative number. Received '+t+\".\");return this._maxListeners=t,this},s.prototype.getMaxListeners=function(){return u(this)},s.prototype.emit=function(t){for(var e=[],r=1;r<arguments.length;r++)e.push(arguments[r]);var n=\"error\"===t,i=this._events;if(void 0!==i)n=n&&void 0===i.error;else if(!n)return!1;if(n){var o;if(e.length>0&&(o=e[0]),o instanceof Error)throw o;var s=new Error(\"Unhandled error.\"+(o?\" (\"+o.message+\")\":\"\"));throw s.context=o,s}var l=i[t];if(void 0===l)return!1;if(\"function\"==typeof l)a(l,this,e);else{var c=l.length,u=g(l,c);for(r=0;r<c;++r)a(u[r],this,e)}return!0},s.prototype.addListener=function(t,e){return f(this,t,e,!1)},s.prototype.on=s.prototype.addListener,s.prototype.prependListener=function(t,e){return f(this,t,e,!0)},s.prototype.once=function(t,e){return c(e),this.on(t,p(this,t,e)),this},s.prototype.prependOnceListener=function(t,e){return c(e),this.prependListener(t,p(this,t,e)),this},s.prototype.removeListener=function(t,e){var r,n,i,a,o;if(c(e),void 0===(n=this._events))return this;if(void 0===(r=n[t]))return this;if(r===e||r.listener===e)0==--this._eventsCount?this._events=Object.create(null):(delete n[t],n.removeListener&&this.emit(\"removeListener\",t,r.listener||e));else if(\"function\"!=typeof r){for(i=-1,a=r.length-1;a>=0;a--)if(r[a]===e||r[a].listener===e){o=r[a].listener,i=a;break}if(i<0)return this;0===i?r.shift():function(t,e){for(;e+1<t.length;e++)t[e]=t[e+1];t.pop()}(r,i),1===r.length&&(n[t]=r[0]),void 0!==n.removeListener&&this.emit(\"removeListener\",t,o||e)}return this},s.prototype.off=s.prototype.removeListener,s.prototype.removeAllListeners=function(t){var e,r,n;if(void 0===(r=this._events))return this;if(void 0===r.removeListener)return 0===arguments.length?(this._events=Object.create(null),this._eventsCount=0):void 0!==r[t]&&(0==--this._eventsCount?this._events=Object.create(null):delete r[t]),this;if(0===arguments.length){var i,a=Object.keys(r);for(n=0;n<a.length;++n)\"removeListener\"!==(i=a[n])&&this.removeAllListeners(i);return this.removeAllListeners(\"removeListener\"),this._events=Object.create(null),this._eventsCount=0,this}if(\"function\"==typeof(e=r[t]))this.removeListener(t,e);else if(void 0!==e)for(n=e.length-1;n>=0;n--)this.removeListener(t,e[n]);return this},s.prototype.listeners=function(t){return d(this,t,!0)},s.prototype.rawListeners=function(t){return d(this,t,!1)},s.listenerCount=function(t,e){return\"function\"==typeof t.listenerCount?t.listenerCount(e):m.call(t,e)},s.prototype.listenerCount=m,s.prototype.eventNames=function(){return this._eventsCount>0?n(this._events):[]}},{}],117:[function(t,e,r){(function(e){(function(){\n",
       "/*!\n",
       " * The buffer module from node.js, for the browser.\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
       "\"use strict\";var e=t(\"base64-js\"),n=t(\"ieee754\");r.Buffer=a,r.SlowBuffer=function(t){+t!=t&&(t=0);return a.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if(\"number\"==typeof t){if(\"string\"==typeof e)throw new TypeError('The \"string\" argument must be of type string. Received type number');return l(t)}return o(t,e,r)}function o(t,e,r){if(\"string\"==typeof t)return function(t,e){\"string\"==typeof e&&\"\"!==e||(e=\"utf8\");if(!a.isEncoding(e))throw new TypeError(\"Unknown encoding: \"+e);var r=0|f(t,e),n=i(r),o=n.write(t,e);o!==r&&(n=n.slice(0,o));return n}(t,e);if(ArrayBuffer.isView(t))return c(t);if(null==t)throw TypeError(\"The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type \"+typeof t);if(B(t,ArrayBuffer)||t&&B(t.buffer,ArrayBuffer))return function(t,e,r){if(e<0||t.byteLength<e)throw new RangeError('\"offset\" is outside of buffer bounds');if(t.byteLength<e+(r||0))throw new RangeError('\"length\" is outside of buffer bounds');var n;n=void 0===e&&void 0===r?new Uint8Array(t):void 0===r?new Uint8Array(t,e):new Uint8Array(t,e,r);return n.__proto__=a.prototype,n}(t,e,r);if(\"number\"==typeof t)throw new TypeError('The \"value\" argument must not be of type number. Received type number');var n=t.valueOf&&t.valueOf();if(null!=n&&n!==t)return a.from(n,e,r);var o=function(t){if(a.isBuffer(t)){var e=0|u(t.length),r=i(e);return 0===r.length||t.copy(r,0,0,e),r}if(void 0!==t.length)return\"number\"!=typeof t.length||N(t.length)?i(0):c(t);if(\"Buffer\"===t.type&&Array.isArray(t.data))return c(t.data)}(t);if(o)return o;if(\"undefined\"!=typeof Symbol&&null!=Symbol.toPrimitive&&\"function\"==typeof t[Symbol.toPrimitive])return a.from(t[Symbol.toPrimitive](\"string\"),e,r);throw new TypeError(\"The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type \"+typeof t)}function s(t){if(\"number\"!=typeof t)throw new TypeError('\"size\" argument must be of type number');if(t<0)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"')}function l(t){return s(t),i(t<0?0:0|u(t))}function c(t){for(var e=t.length<0?0:0|u(t.length),r=i(e),n=0;n<e;n+=1)r[n]=255&t[n];return r}function u(t){if(t>=2147483647)throw new RangeError(\"Attempt to allocate Buffer larger than maximum size: 0x\"+2147483647..toString(16)+\" bytes\");return 0|t}function f(t,e){if(a.isBuffer(t))return t.length;if(ArrayBuffer.isView(t)||B(t,ArrayBuffer))return t.byteLength;if(\"string\"!=typeof t)throw new TypeError('The \"string\" argument must be one of type string, Buffer, or ArrayBuffer. Received type '+typeof t);var r=t.length,n=arguments.length>2&&!0===arguments[2];if(!n&&0===r)return 0;for(var i=!1;;)switch(e){case\"ascii\":case\"latin1\":case\"binary\":return r;case\"utf8\":case\"utf-8\":return D(t).length;case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":return 2*r;case\"hex\":return r>>>1;case\"base64\":return R(t).length;default:if(i)return n?-1:D(t).length;e=(\"\"+e).toLowerCase(),i=!0}}function h(t,e,r){var n=!1;if((void 0===e||e<0)&&(e=0),e>this.length)return\"\";if((void 0===r||r>this.length)&&(r=this.length),r<=0)return\"\";if((r>>>=0)<=(e>>>=0))return\"\";for(t||(t=\"utf8\");;)switch(t){case\"hex\":return A(this,e,r);case\"utf8\":case\"utf-8\":return T(this,e,r);case\"ascii\":return k(this,e,r);case\"latin1\":case\"binary\":return M(this,e,r);case\"base64\":return w(this,e,r);case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":return S(this,e,r);default:if(n)throw new TypeError(\"Unknown encoding: \"+t);t=(t+\"\").toLowerCase(),n=!0}}function p(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function d(t,e,r,n,i){if(0===t.length)return-1;if(\"string\"==typeof r?(n=r,r=0):r>2147483647?r=2147483647:r<-2147483648&&(r=-2147483648),N(r=+r)&&(r=i?0:t.length-1),r<0&&(r=t.length+r),r>=t.length){if(i)return-1;r=t.length-1}else if(r<0){if(!i)return-1;r=0}if(\"string\"==typeof e&&(e=a.from(e,n)),a.isBuffer(e))return 0===e.length?-1:m(t,e,r,n,i);if(\"number\"==typeof e)return e&=255,\"function\"==typeof Uint8Array.prototype.indexOf?i?Uint8Array.prototype.indexOf.call(t,e,r):Uint8Array.prototype.lastIndexOf.call(t,e,r):m(t,[e],r,n,i);throw new TypeError(\"val must be string, number or Buffer\")}function m(t,e,r,n,i){var a,o=1,s=t.length,l=e.length;if(void 0!==n&&(\"ucs2\"===(n=String(n).toLowerCase())||\"ucs-2\"===n||\"utf16le\"===n||\"utf-16le\"===n)){if(t.length<2||e.length<2)return-1;o=2,s/=2,l/=2,r/=2}function c(t,e){return 1===o?t[e]:t.readUInt16BE(e*o)}if(i){var u=-1;for(a=r;a<s;a++)if(c(t,a)===c(e,-1===u?0:a-u)){if(-1===u&&(u=a),a-u+1===l)return u*o}else-1!==u&&(a-=a-u),u=-1}else for(r+l>s&&(r=s-l),a=r;a>=0;a--){for(var f=!0,h=0;h<l;h++)if(c(t,a+h)!==c(e,h)){f=!1;break}if(f)return a}return-1}function g(t,e,r,n){r=Number(r)||0;var i=t.length-r;n?(n=Number(n))>i&&(n=i):n=i;var a=e.length;n>a/2&&(n=a/2);for(var o=0;o<n;++o){var s=parseInt(e.substr(2*o,2),16);if(N(s))return o;t[r+o]=s}return o}function v(t,e,r,n){return F(D(e,t.length-r),t,r,n)}function y(t,e,r,n){return F(function(t){for(var e=[],r=0;r<t.length;++r)e.push(255&t.charCodeAt(r));return e}(e),t,r,n)}function x(t,e,r,n){return y(t,e,r,n)}function b(t,e,r,n){return F(R(e),t,r,n)}function _(t,e,r,n){return F(function(t,e){for(var r,n,i,a=[],o=0;o<t.length&&!((e-=2)<0);++o)r=t.charCodeAt(o),n=r>>8,i=r%256,a.push(i),a.push(n);return a}(e,t.length-r),t,r,n)}function w(t,r,n){return 0===r&&n===t.length?e.fromByteArray(t):e.fromByteArray(t.slice(r,n))}function T(t,e,r){r=Math.min(t.length,r);for(var n=[],i=e;i<r;){var a,o,s,l,c=t[i],u=null,f=c>239?4:c>223?3:c>191?2:1;if(i+f<=r)switch(f){case 1:c<128&&(u=c);break;case 2:128==(192&(a=t[i+1]))&&(l=(31&c)<<6|63&a)>127&&(u=l);break;case 3:a=t[i+1],o=t[i+2],128==(192&a)&&128==(192&o)&&(l=(15&c)<<12|(63&a)<<6|63&o)>2047&&(l<55296||l>57343)&&(u=l);break;case 4:a=t[i+1],o=t[i+2],s=t[i+3],128==(192&a)&&128==(192&o)&&128==(192&s)&&(l=(15&c)<<18|(63&a)<<12|(63&o)<<6|63&s)>65535&&l<1114112&&(u=l)}null===u?(u=65533,f=1):u>65535&&(u-=65536,n.push(u>>>10&1023|55296),u=56320|1023&u),n.push(u),i+=f}return function(t){var e=t.length;if(e<=4096)return String.fromCharCode.apply(String,t);var r=\"\",n=0;for(;n<e;)r+=String.fromCharCode.apply(String,t.slice(n,n+=4096));return r}(n)}r.kMaxLength=2147483647,a.TYPED_ARRAY_SUPPORT=function(){try{var t=new Uint8Array(1);return t.__proto__={__proto__:Uint8Array.prototype,foo:function(){return 42}},42===t.foo()}catch(t){return!1}}(),a.TYPED_ARRAY_SUPPORT||\"undefined\"==typeof console||\"function\"!=typeof console.error||console.error(\"This browser lacks typed array (Uint8Array) support which is required by `buffer` v5.x. Use `buffer` v4.x if you require old browser support.\"),Object.defineProperty(a.prototype,\"parent\",{enumerable:!0,get:function(){if(a.isBuffer(this))return this.buffer}}),Object.defineProperty(a.prototype,\"offset\",{enumerable:!0,get:function(){if(a.isBuffer(this))return this.byteOffset}}),\"undefined\"!=typeof Symbol&&null!=Symbol.species&&a[Symbol.species]===a&&Object.defineProperty(a,Symbol.species,{value:null,configurable:!0,enumerable:!1,writable:!1}),a.poolSize=8192,a.from=function(t,e,r){return o(t,e,r)},a.prototype.__proto__=Uint8Array.prototype,a.__proto__=Uint8Array,a.alloc=function(t,e,r){return function(t,e,r){return s(t),t<=0?i(t):void 0!==e?\"string\"==typeof r?i(t).fill(e,r):i(t).fill(e):i(t)}(t,e,r)},a.allocUnsafe=function(t){return l(t)},a.allocUnsafeSlow=function(t){return l(t)},a.isBuffer=function(t){return null!=t&&!0===t._isBuffer&&t!==a.prototype},a.compare=function(t,e){if(B(t,Uint8Array)&&(t=a.from(t,t.offset,t.byteLength)),B(e,Uint8Array)&&(e=a.from(e,e.offset,e.byteLength)),!a.isBuffer(t)||!a.isBuffer(e))throw new TypeError('The \"buf1\", \"buf2\" arguments must be one of type Buffer or Uint8Array');if(t===e)return 0;for(var r=t.length,n=e.length,i=0,o=Math.min(r,n);i<o;++i)if(t[i]!==e[i]){r=t[i],n=e[i];break}return r<n?-1:n<r?1:0},a.isEncoding=function(t){switch(String(t).toLowerCase()){case\"hex\":case\"utf8\":case\"utf-8\":case\"ascii\":case\"latin1\":case\"binary\":case\"base64\":case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":return!0;default:return!1}},a.concat=function(t,e){if(!Array.isArray(t))throw new TypeError('\"list\" argument must be an Array of Buffers');if(0===t.length)return a.alloc(0);var r;if(void 0===e)for(e=0,r=0;r<t.length;++r)e+=t[r].length;var n=a.allocUnsafe(e),i=0;for(r=0;r<t.length;++r){var o=t[r];if(B(o,Uint8Array)&&(o=a.from(o)),!a.isBuffer(o))throw new TypeError('\"list\" argument must be an Array of Buffers');o.copy(n,i),i+=o.length}return n},a.byteLength=f,a.prototype._isBuffer=!0,a.prototype.swap16=function(){var t=this.length;if(t%2!=0)throw new RangeError(\"Buffer size must be a multiple of 16-bits\");for(var e=0;e<t;e+=2)p(this,e,e+1);return this},a.prototype.swap32=function(){var t=this.length;if(t%4!=0)throw new RangeError(\"Buffer size must be a multiple of 32-bits\");for(var e=0;e<t;e+=4)p(this,e,e+3),p(this,e+1,e+2);return this},a.prototype.swap64=function(){var t=this.length;if(t%8!=0)throw new RangeError(\"Buffer size must be a multiple of 64-bits\");for(var e=0;e<t;e+=8)p(this,e,e+7),p(this,e+1,e+6),p(this,e+2,e+5),p(this,e+3,e+4);return this},a.prototype.toString=function(){var t=this.length;return 0===t?\"\":0===arguments.length?T(this,0,t):h.apply(this,arguments)},a.prototype.toLocaleString=a.prototype.toString,a.prototype.equals=function(t){if(!a.isBuffer(t))throw new TypeError(\"Argument must be a Buffer\");return this===t||0===a.compare(this,t)},a.prototype.inspect=function(){var t=\"\",e=r.INSPECT_MAX_BYTES;return t=this.toString(\"hex\",0,e).replace(/(.{2})/g,\"$1 \").trim(),this.length>e&&(t+=\" ... \"),\"<Buffer \"+t+\">\"},a.prototype.compare=function(t,e,r,n,i){if(B(t,Uint8Array)&&(t=a.from(t,t.offset,t.byteLength)),!a.isBuffer(t))throw new TypeError('The \"target\" argument must be one of type Buffer or Uint8Array. Received type '+typeof t);if(void 0===e&&(e=0),void 0===r&&(r=t?t.length:0),void 0===n&&(n=0),void 0===i&&(i=this.length),e<0||r>t.length||n<0||i>this.length)throw new RangeError(\"out of range index\");if(n>=i&&e>=r)return 0;if(n>=i)return-1;if(e>=r)return 1;if(this===t)return 0;for(var o=(i>>>=0)-(n>>>=0),s=(r>>>=0)-(e>>>=0),l=Math.min(o,s),c=this.slice(n,i),u=t.slice(e,r),f=0;f<l;++f)if(c[f]!==u[f]){o=c[f],s=u[f];break}return o<s?-1:s<o?1:0},a.prototype.includes=function(t,e,r){return-1!==this.indexOf(t,e,r)},a.prototype.indexOf=function(t,e,r){return d(this,t,e,r,!0)},a.prototype.lastIndexOf=function(t,e,r){return d(this,t,e,r,!1)},a.prototype.write=function(t,e,r,n){if(void 0===e)n=\"utf8\",r=this.length,e=0;else if(void 0===r&&\"string\"==typeof e)n=e,r=this.length,e=0;else{if(!isFinite(e))throw new Error(\"Buffer.write(string, encoding, offset[, length]) is no longer supported\");e>>>=0,isFinite(r)?(r>>>=0,void 0===n&&(n=\"utf8\")):(n=r,r=void 0)}var i=this.length-e;if((void 0===r||r>i)&&(r=i),t.length>0&&(r<0||e<0)||e>this.length)throw new RangeError(\"Attempt to write outside buffer bounds\");n||(n=\"utf8\");for(var a=!1;;)switch(n){case\"hex\":return g(this,t,e,r);case\"utf8\":case\"utf-8\":return v(this,t,e,r);case\"ascii\":return y(this,t,e,r);case\"latin1\":case\"binary\":return x(this,t,e,r);case\"base64\":return b(this,t,e,r);case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":return _(this,t,e,r);default:if(a)throw new TypeError(\"Unknown encoding: \"+n);n=(\"\"+n).toLowerCase(),a=!0}},a.prototype.toJSON=function(){return{type:\"Buffer\",data:Array.prototype.slice.call(this._arr||this,0)}};function k(t,e,r){var n=\"\";r=Math.min(t.length,r);for(var i=e;i<r;++i)n+=String.fromCharCode(127&t[i]);return n}function M(t,e,r){var n=\"\";r=Math.min(t.length,r);for(var i=e;i<r;++i)n+=String.fromCharCode(t[i]);return n}function A(t,e,r){var n=t.length;(!e||e<0)&&(e=0),(!r||r<0||r>n)&&(r=n);for(var i=\"\",a=e;a<r;++a)i+=z(t[a]);return i}function S(t,e,r){for(var n=t.slice(e,r),i=\"\",a=0;a<n.length;a+=2)i+=String.fromCharCode(n[a]+256*n[a+1]);return i}function E(t,e,r){if(t%1!=0||t<0)throw new RangeError(\"offset is not uint\");if(t+e>r)throw new RangeError(\"Trying to access beyond buffer length\")}function L(t,e,r,n,i,o){if(!a.isBuffer(t))throw new TypeError('\"buffer\" argument must be a Buffer instance');if(e>i||e<o)throw new RangeError('\"value\" argument is out of bounds');if(r+n>t.length)throw new RangeError(\"Index out of range\")}function C(t,e,r,n,i,a){if(r+n>t.length)throw new RangeError(\"Index out of range\");if(r<0)throw new RangeError(\"Index out of range\")}function P(t,e,r,i,a){return e=+e,r>>>=0,a||C(t,0,r,4),n.write(t,e,r,i,23,4),r+4}function I(t,e,r,i,a){return e=+e,r>>>=0,a||C(t,0,r,8),n.write(t,e,r,i,52,8),r+8}a.prototype.slice=function(t,e){var r=this.length;(t=~~t)<0?(t+=r)<0&&(t=0):t>r&&(t=r),(e=void 0===e?r:~~e)<0?(e+=r)<0&&(e=0):e>r&&(e=r),e<t&&(e=t);var n=this.subarray(t,e);return n.__proto__=a.prototype,n},a.prototype.readUIntLE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t],i=1,a=0;++a<e&&(i*=256);)n+=this[t+a]*i;return n},a.prototype.readUIntBE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t+--e],i=1;e>0&&(i*=256);)n+=this[t+--e]*i;return n},a.prototype.readUInt8=function(t,e){return t>>>=0,e||E(t,1,this.length),this[t]},a.prototype.readUInt16LE=function(t,e){return t>>>=0,e||E(t,2,this.length),this[t]|this[t+1]<<8},a.prototype.readUInt16BE=function(t,e){return t>>>=0,e||E(t,2,this.length),this[t]<<8|this[t+1]},a.prototype.readUInt32LE=function(t,e){return t>>>=0,e||E(t,4,this.length),(this[t]|this[t+1]<<8|this[t+2]<<16)+16777216*this[t+3]},a.prototype.readUInt32BE=function(t,e){return t>>>=0,e||E(t,4,this.length),16777216*this[t]+(this[t+1]<<16|this[t+2]<<8|this[t+3])},a.prototype.readIntLE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t],i=1,a=0;++a<e&&(i*=256);)n+=this[t+a]*i;return n>=(i*=128)&&(n-=Math.pow(2,8*e)),n},a.prototype.readIntBE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=e,i=1,a=this[t+--n];n>0&&(i*=256);)a+=this[t+--n]*i;return a>=(i*=128)&&(a-=Math.pow(2,8*e)),a},a.prototype.readInt8=function(t,e){return t>>>=0,e||E(t,1,this.length),128&this[t]?-1*(255-this[t]+1):this[t]},a.prototype.readInt16LE=function(t,e){t>>>=0,e||E(t,2,this.length);var r=this[t]|this[t+1]<<8;return 32768&r?4294901760|r:r},a.prototype.readInt16BE=function(t,e){t>>>=0,e||E(t,2,this.length);var r=this[t+1]|this[t]<<8;return 32768&r?4294901760|r:r},a.prototype.readInt32LE=function(t,e){return t>>>=0,e||E(t,4,this.length),this[t]|this[t+1]<<8|this[t+2]<<16|this[t+3]<<24},a.prototype.readInt32BE=function(t,e){return t>>>=0,e||E(t,4,this.length),this[t]<<24|this[t+1]<<16|this[t+2]<<8|this[t+3]},a.prototype.readFloatLE=function(t,e){return t>>>=0,e||E(t,4,this.length),n.read(this,t,!0,23,4)},a.prototype.readFloatBE=function(t,e){return t>>>=0,e||E(t,4,this.length),n.read(this,t,!1,23,4)},a.prototype.readDoubleLE=function(t,e){return t>>>=0,e||E(t,8,this.length),n.read(this,t,!0,52,8)},a.prototype.readDoubleBE=function(t,e){return t>>>=0,e||E(t,8,this.length),n.read(this,t,!1,52,8)},a.prototype.writeUIntLE=function(t,e,r,n){(t=+t,e>>>=0,r>>>=0,n)||L(this,t,e,r,Math.pow(2,8*r)-1,0);var i=1,a=0;for(this[e]=255&t;++a<r&&(i*=256);)this[e+a]=t/i&255;return e+r},a.prototype.writeUIntBE=function(t,e,r,n){(t=+t,e>>>=0,r>>>=0,n)||L(this,t,e,r,Math.pow(2,8*r)-1,0);var i=r-1,a=1;for(this[e+i]=255&t;--i>=0&&(a*=256);)this[e+i]=t/a&255;return e+r},a.prototype.writeUInt8=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,1,255,0),this[e]=255&t,e+1},a.prototype.writeUInt16LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,65535,0),this[e]=255&t,this[e+1]=t>>>8,e+2},a.prototype.writeUInt16BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,65535,0),this[e]=t>>>8,this[e+1]=255&t,e+2},a.prototype.writeUInt32LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,4294967295,0),this[e+3]=t>>>24,this[e+2]=t>>>16,this[e+1]=t>>>8,this[e]=255&t,e+4},a.prototype.writeUInt32BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,4294967295,0),this[e]=t>>>24,this[e+1]=t>>>16,this[e+2]=t>>>8,this[e+3]=255&t,e+4},a.prototype.writeIntLE=function(t,e,r,n){if(t=+t,e>>>=0,!n){var i=Math.pow(2,8*r-1);L(this,t,e,r,i-1,-i)}var a=0,o=1,s=0;for(this[e]=255&t;++a<r&&(o*=256);)t<0&&0===s&&0!==this[e+a-1]&&(s=1),this[e+a]=(t/o>>0)-s&255;return e+r},a.prototype.writeIntBE=function(t,e,r,n){if(t=+t,e>>>=0,!n){var i=Math.pow(2,8*r-1);L(this,t,e,r,i-1,-i)}var a=r-1,o=1,s=0;for(this[e+a]=255&t;--a>=0&&(o*=256);)t<0&&0===s&&0!==this[e+a+1]&&(s=1),this[e+a]=(t/o>>0)-s&255;return e+r},a.prototype.writeInt8=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,1,127,-128),t<0&&(t=255+t+1),this[e]=255&t,e+1},a.prototype.writeInt16LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,32767,-32768),this[e]=255&t,this[e+1]=t>>>8,e+2},a.prototype.writeInt16BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,32767,-32768),this[e]=t>>>8,this[e+1]=255&t,e+2},a.prototype.writeInt32LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,2147483647,-2147483648),this[e]=255&t,this[e+1]=t>>>8,this[e+2]=t>>>16,this[e+3]=t>>>24,e+4},a.prototype.writeInt32BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,2147483647,-2147483648),t<0&&(t=4294967295+t+1),this[e]=t>>>24,this[e+1]=t>>>16,this[e+2]=t>>>8,this[e+3]=255&t,e+4},a.prototype.writeFloatLE=function(t,e,r){return P(this,t,e,!0,r)},a.prototype.writeFloatBE=function(t,e,r){return P(this,t,e,!1,r)},a.prototype.writeDoubleLE=function(t,e,r){return I(this,t,e,!0,r)},a.prototype.writeDoubleBE=function(t,e,r){return I(this,t,e,!1,r)},a.prototype.copy=function(t,e,r,n){if(!a.isBuffer(t))throw new TypeError(\"argument should be a Buffer\");if(r||(r=0),n||0===n||(n=this.length),e>=t.length&&(e=t.length),e||(e=0),n>0&&n<r&&(n=r),n===r)return 0;if(0===t.length||0===this.length)return 0;if(e<0)throw new RangeError(\"targetStart out of bounds\");if(r<0||r>=this.length)throw new RangeError(\"Index out of range\");if(n<0)throw new RangeError(\"sourceEnd out of bounds\");n>this.length&&(n=this.length),t.length-e<n-r&&(n=t.length-e+r);var i=n-r;if(this===t&&\"function\"==typeof Uint8Array.prototype.copyWithin)this.copyWithin(e,r,n);else if(this===t&&r<e&&e<n)for(var o=i-1;o>=0;--o)t[o+e]=this[o+r];else Uint8Array.prototype.set.call(t,this.subarray(r,n),e);return i},a.prototype.fill=function(t,e,r,n){if(\"string\"==typeof t){if(\"string\"==typeof e?(n=e,e=0,r=this.length):\"string\"==typeof r&&(n=r,r=this.length),void 0!==n&&\"string\"!=typeof n)throw new TypeError(\"encoding must be a string\");if(\"string\"==typeof n&&!a.isEncoding(n))throw new TypeError(\"Unknown encoding: \"+n);if(1===t.length){var i=t.charCodeAt(0);(\"utf8\"===n&&i<128||\"latin1\"===n)&&(t=i)}}else\"number\"==typeof t&&(t&=255);if(e<0||this.length<e||this.length<r)throw new RangeError(\"Out of range index\");if(r<=e)return this;var o;if(e>>>=0,r=void 0===r?this.length:r>>>0,t||(t=0),\"number\"==typeof t)for(o=e;o<r;++o)this[o]=t;else{var s=a.isBuffer(t)?t:a.from(t,n),l=s.length;if(0===l)throw new TypeError('The value \"'+t+'\" is invalid for argument \"value\"');for(o=0;o<r-e;++o)this[o+e]=s[o%l]}return this};var O=/[^+/0-9A-Za-z-_]/g;function z(t){return t<16?\"0\"+t.toString(16):t.toString(16)}function D(t,e){var r;e=e||1/0;for(var n=t.length,i=null,a=[],o=0;o<n;++o){if((r=t.charCodeAt(o))>55295&&r<57344){if(!i){if(r>56319){(e-=3)>-1&&a.push(239,191,189);continue}if(o+1===n){(e-=3)>-1&&a.push(239,191,189);continue}i=r;continue}if(r<56320){(e-=3)>-1&&a.push(239,191,189),i=r;continue}r=65536+(i-55296<<10|r-56320)}else i&&(e-=3)>-1&&a.push(239,191,189);if(i=null,r<128){if((e-=1)<0)break;a.push(r)}else if(r<2048){if((e-=2)<0)break;a.push(r>>6|192,63&r|128)}else if(r<65536){if((e-=3)<0)break;a.push(r>>12|224,r>>6&63|128,63&r|128)}else{if(!(r<1114112))throw new Error(\"Invalid code point\");if((e-=4)<0)break;a.push(r>>18|240,r>>12&63|128,r>>6&63|128,63&r|128)}}return a}function R(t){return e.toByteArray(function(t){if((t=(t=t.split(\"=\")[0]).trim().replace(O,\"\")).length<2)return\"\";for(;t.length%4!=0;)t+=\"=\";return t}(t))}function F(t,e,r,n){for(var i=0;i<n&&!(i+r>=e.length||i>=t.length);++i)e[i+r]=t[i];return i}function B(t,e){return t instanceof e||null!=t&&null!=t.constructor&&null!=t.constructor.name&&t.constructor.name===e.name}function N(t){return t!=t}}).call(this)}).call(this,t(\"buffer\").Buffer)},{\"base64-js\":86,buffer:117,ieee754:441}],118:[function(t,e,r){\"use strict\";var n=t(\"./lib/monotone\"),i=t(\"./lib/triangulation\"),a=t(\"./lib/delaunay\"),o=t(\"./lib/filter\");function s(t){return[Math.min(t[0],t[1]),Math.max(t[0],t[1])]}function l(t,e){return t[0]-e[0]||t[1]-e[1]}function c(t,e,r){return e in t?t[e]:r}e.exports=function(t,e,r){Array.isArray(e)?(r=r||{},e=e||[]):(r=e||{},e=[]);var u=!!c(r,\"delaunay\",!0),f=!!c(r,\"interior\",!0),h=!!c(r,\"exterior\",!0),p=!!c(r,\"infinity\",!1);if(!f&&!h||0===t.length)return[];var d=n(t,e);if(u||f!==h||p){for(var m=i(t.length,function(t){return t.map(s).sort(l)}(e)),g=0;g<d.length;++g){var v=d[g];m.addTriangle(v[0],v[1],v[2])}return u&&a(t,m),h?f?p?o(m,0,p):m.cells():o(m,1,p):o(m,-1)}return d}},{\"./lib/delaunay\":119,\"./lib/filter\":120,\"./lib/monotone\":121,\"./lib/triangulation\":122}],119:[function(t,e,r){\"use strict\";var n=t(\"robust-in-sphere\")[4];t(\"binary-search-bounds\");function i(t,e,r,i,a,o){var s=e.opposite(i,a);if(!(s<0)){if(a<i){var l=i;i=a,a=l,l=o,o=s,s=l}e.isConstraint(i,a)||n(t[i],t[a],t[o],t[s])<0&&r.push(i,a)}}e.exports=function(t,e){for(var r=[],a=t.length,o=e.stars,s=0;s<a;++s)for(var l=o[s],c=1;c<l.length;c+=2){if(!((p=l[c])<s)&&!e.isConstraint(s,p)){for(var u=l[c-1],f=-1,h=1;h<l.length;h+=2)if(l[h-1]===p){f=l[h];break}f<0||n(t[s],t[p],t[u],t[f])<0&&r.push(s,p)}}for(;r.length>0;){for(var p=r.pop(),d=(s=r.pop(),u=-1,f=-1,l=o[s],1);d<l.length;d+=2){var m=l[d-1],g=l[d];m===p?f=g:g===p&&(u=m)}u<0||f<0||(n(t[s],t[p],t[u],t[f])>=0||(e.flip(s,p),i(t,e,r,u,s,f),i(t,e,r,s,f,u),i(t,e,r,f,p,u),i(t,e,r,p,u,f)))}}},{\"binary-search-bounds\":103,\"robust-in-sphere\":542}],120:[function(t,e,r){\"use strict\";var n,i=t(\"binary-search-bounds\");function a(t,e,r,n,i,a,o){this.cells=t,this.neighbor=e,this.flags=n,this.constraint=r,this.active=i,this.next=a,this.boundary=o}function o(t,e){return t[0]-e[0]||t[1]-e[1]||t[2]-e[2]}e.exports=function(t,e,r){var n=function(t,e){for(var r=t.cells(),n=r.length,i=0;i<n;++i){var s=(v=r[i])[0],l=v[1],c=v[2];l<c?l<s&&(v[0]=l,v[1]=c,v[2]=s):c<s&&(v[0]=c,v[1]=s,v[2]=l)}r.sort(o);var u=new Array(n);for(i=0;i<u.length;++i)u[i]=0;var f=[],h=[],p=new Array(3*n),d=new Array(3*n),m=null;e&&(m=[]);var g=new a(r,p,d,u,f,h,m);for(i=0;i<n;++i)for(var v=r[i],y=0;y<3;++y){s=v[y],l=v[(y+1)%3];var x=p[3*i+y]=g.locate(l,s,t.opposite(l,s)),b=d[3*i+y]=t.isConstraint(s,l);x<0&&(b?h.push(i):(f.push(i),u[i]=1),e&&m.push([l,s,-1]))}return g}(t,r);if(0===e)return r?n.cells.concat(n.boundary):n.cells;var i=1,s=n.active,l=n.next,c=n.flags,u=n.cells,f=n.constraint,h=n.neighbor;for(;s.length>0||l.length>0;){for(;s.length>0;){var p=s.pop();if(c[p]!==-i){c[p]=i;u[p];for(var d=0;d<3;++d){var m=h[3*p+d];m>=0&&0===c[m]&&(f[3*p+d]?l.push(m):(s.push(m),c[m]=i))}}}var g=l;l=s,s=g,l.length=0,i=-i}var v=function(t,e,r){for(var n=0,i=0;i<t.length;++i)e[i]===r&&(t[n++]=t[i]);return t.length=n,t}(u,c,e);if(r)return v.concat(n.boundary);return v},a.prototype.locate=(n=[0,0,0],function(t,e,r){var a=t,s=e,l=r;return e<r?e<t&&(a=e,s=r,l=t):r<t&&(a=r,s=t,l=e),a<0?-1:(n[0]=a,n[1]=s,n[2]=l,i.eq(this.cells,n,o))})},{\"binary-search-bounds\":103}],121:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),i=t(\"robust-orientation\")[3];function a(t,e,r,n,i){this.a=t,this.b=e,this.idx=r,this.lowerIds=n,this.upperIds=i}function o(t,e,r,n){this.a=t,this.b=e,this.type=r,this.idx=n}function s(t,e){var r=t.a[0]-e.a[0]||t.a[1]-e.a[1]||t.type-e.type;return r||(0!==t.type&&(r=i(t.a,t.b,e.b))?r:t.idx-e.idx)}function l(t,e){return i(t.a,t.b,e)}function c(t,e,r,a,o){for(var s=n.lt(e,a,l),c=n.gt(e,a,l),u=s;u<c;++u){for(var f=e[u],h=f.lowerIds,p=h.length;p>1&&i(r[h[p-2]],r[h[p-1]],a)>0;)t.push([h[p-1],h[p-2],o]),p-=1;h.length=p,h.push(o);var d=f.upperIds;for(p=d.length;p>1&&i(r[d[p-2]],r[d[p-1]],a)<0;)t.push([d[p-2],d[p-1],o]),p-=1;d.length=p,d.push(o)}}function u(t,e){var r;return(r=t.a[0]<e.a[0]?i(t.a,t.b,e.a):i(e.b,e.a,t.a))?r:(r=e.b[0]<t.b[0]?i(t.a,t.b,e.b):i(e.b,e.a,t.b))||t.idx-e.idx}function f(t,e,r){var i=n.le(t,r,u),o=t[i],s=o.upperIds,l=s[s.length-1];o.upperIds=[l],t.splice(i+1,0,new a(r.a,r.b,r.idx,[l],s))}function h(t,e,r){var i=r.a;r.a=r.b,r.b=i;var a=n.eq(t,r,u),o=t[a];t[a-1].upperIds=o.upperIds,t.splice(a,1)}e.exports=function(t,e){for(var r=t.length,n=e.length,i=[],l=0;l<r;++l)i.push(new o(t[l],null,0,l));for(l=0;l<n;++l){var u=e[l],p=t[u[0]],d=t[u[1]];p[0]<d[0]?i.push(new o(p,d,2,l),new o(d,p,1,l)):p[0]>d[0]&&i.push(new o(d,p,2,l),new o(p,d,1,l))}i.sort(s);for(var m=i[0].a[0]-(1+Math.abs(i[0].a[0]))*Math.pow(2,-52),g=[new a([m,1],[m,0],-1,[],[],[],[])],v=[],y=(l=0,i.length);l<y;++l){var x=i[l],b=x.type;0===b?c(v,g,t,x.a,x.idx):2===b?f(g,t,x):h(g,t,x)}return v}},{\"binary-search-bounds\":103,\"robust-orientation\":544}],122:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function i(t,e){this.stars=t,this.edges=e}e.exports=function(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=[];return new i(r,e)};var a=i.prototype;function o(t,e,r){for(var n=1,i=t.length;n<i;n+=2)if(t[n-1]===e&&t[n]===r)return t[n-1]=t[i-2],t[n]=t[i-1],void(t.length=i-2)}a.isConstraint=function(){var t=[0,0];function e(t,e){return t[0]-e[0]||t[1]-e[1]}return function(r,i){return t[0]=Math.min(r,i),t[1]=Math.max(r,i),n.eq(this.edges,t,e)>=0}}(),a.removeTriangle=function(t,e,r){var n=this.stars;o(n[t],e,r),o(n[e],r,t),o(n[r],t,e)},a.addTriangle=function(t,e,r){var n=this.stars;n[t].push(e,r),n[e].push(r,t),n[r].push(t,e)},a.opposite=function(t,e){for(var r=this.stars[e],n=1,i=r.length;n<i;n+=2)if(r[n]===t)return r[n-1];return-1},a.flip=function(t,e){var r=this.opposite(t,e),n=this.opposite(e,t);this.removeTriangle(t,e,r),this.removeTriangle(e,t,n),this.addTriangle(t,n,r),this.addTriangle(e,r,n)},a.edges=function(){for(var t=this.stars,e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;a+=2)e.push([i[a],i[a+1]]);return e},a.cells=function(){for(var t=this.stars,e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;a+=2){var s=i[a],l=i[a+1];r<Math.min(s,l)&&e.push([r,s,l])}return e}},{\"binary-search-bounds\":103}],123:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1,r=1;r<t.length;++r)for(var n=0;n<r;++n)if(t[r]<t[n])e=-e;else if(t[n]===t[r])return 0;return e}},{}],124:[function(t,e,r){\"use strict\";var n=t(\"dup\"),i=t(\"robust-linear-solve\");function a(t,e){for(var r=0,n=t.length,i=0;i<n;++i)r+=t[i]*e[i];return r}function o(t){var e=t.length;if(0===e)return[];t[0].length;var r=n([t.length+1,t.length+1],1),o=n([t.length+1],1);r[e][e]=0;for(var s=0;s<e;++s){for(var l=0;l<=s;++l)r[l][s]=r[s][l]=2*a(t[s],t[l]);o[s]=a(t[s],t[s])}var c=i(r,o),u=0,f=c[e+1];for(s=0;s<f.length;++s)u+=f[s];var h=new Array(e);for(s=0;s<e;++s){f=c[s];var p=0;for(l=0;l<f.length;++l)p+=f[l];h[s]=p/u}return h}function s(t){if(0===t.length)return[];for(var e=t[0].length,r=n([e]),i=o(t),a=0;a<t.length;++a)for(var s=0;s<e;++s)r[s]+=t[a][s]*i[a];return r}s.barycenetric=o,e.exports=s},{dup:181,\"robust-linear-solve\":543}],125:[function(t,e,r){e.exports=function(t){for(var e=n(t),r=0,i=0;i<t.length;++i)for(var a=t[i],o=0;o<e.length;++o)r+=Math.pow(a[o]-e[o],2);return Math.sqrt(r/t.length)};var n=t(\"circumcenter\")},{circumcenter:124}],126:[function(t,e,r){e.exports=function(t,e,r){return e<r?t<e?e:t>r?r:t:t<r?r:t>e?e:t}},{}],127:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n;if(r){n=e;for(var i=new Array(e.length),a=0;a<e.length;++a){var o=e[a];i[a]=[o[0],o[1],r[a]]}e=i}var s=function(t,e,r){var n=d(t,[],p(t));return v(e,n,r),!!n}(t,e,!!r);for(;y(t,e,!!r);)s=!0;if(r&&s){n.length=0,r.length=0;for(a=0;a<e.length;++a){o=e[a];n.push([o[0],o[1]]),r.push(o[2])}}return s};var n=t(\"union-find\"),i=t(\"box-intersect\"),a=t(\"robust-segment-intersect\"),o=t(\"big-rat\"),s=t(\"big-rat/cmp\"),l=t(\"big-rat/to-float\"),c=t(\"rat-vec\"),u=t(\"nextafter\"),f=t(\"./lib/rat-seg-intersect\");function h(t){var e=l(t);return[u(e,-1/0),u(e,1/0)]}function p(t){for(var e=new Array(t.length),r=0;r<t.length;++r){var n=t[r];e[r]=[u(n[0],-1/0),u(n[1],-1/0),u(n[0],1/0),u(n[1],1/0)]}return e}function d(t,e,r){for(var a=e.length,o=new n(a),s=[],l=0;l<e.length;++l){var c=e[l],f=h(c[0]),p=h(c[1]);s.push([u(f[0],-1/0),u(p[0],-1/0),u(f[1],1/0),u(p[1],1/0)])}i(s,(function(t,e){o.link(t,e)}));var d=!0,m=new Array(a);for(l=0;l<a;++l){(v=o.find(l))!==l&&(d=!1,t[v]=[Math.min(t[l][0],t[v][0]),Math.min(t[l][1],t[v][1])])}if(d)return null;var g=0;for(l=0;l<a;++l){var v;(v=o.find(l))===l?(m[l]=g,t[g++]=t[l]):m[l]=-1}t.length=g;for(l=0;l<a;++l)m[l]<0&&(m[l]=m[o.find(l)]);return m}function m(t,e){return t[0]-e[0]||t[1]-e[1]}function g(t,e){var r=t[0]-e[0]||t[1]-e[1];return r||(t[2]<e[2]?-1:t[2]>e[2]?1:0)}function v(t,e,r){if(0!==t.length){if(e)for(var n=0;n<t.length;++n){var i=e[(o=t[n])[0]],a=e[o[1]];o[0]=Math.min(i,a),o[1]=Math.max(i,a)}else for(n=0;n<t.length;++n){var o;i=(o=t[n])[0],a=o[1];o[0]=Math.min(i,a),o[1]=Math.max(i,a)}r?t.sort(g):t.sort(m);var s=1;for(n=1;n<t.length;++n){var l=t[n-1],c=t[n];(c[0]!==l[0]||c[1]!==l[1]||r&&c[2]!==l[2])&&(t[s++]=c)}t.length=s}}function y(t,e,r){var n=function(t,e){for(var r=new Array(e.length),n=0;n<e.length;++n){var i=e[n],a=t[i[0]],o=t[i[1]];r[n]=[u(Math.min(a[0],o[0]),-1/0),u(Math.min(a[1],o[1]),-1/0),u(Math.max(a[0],o[0]),1/0),u(Math.max(a[1],o[1]),1/0)]}return r}(t,e),h=function(t,e,r){var n=[];return i(r,(function(r,i){var o=e[r],s=e[i];if(o[0]!==s[0]&&o[0]!==s[1]&&o[1]!==s[0]&&o[1]!==s[1]){var l=t[o[0]],c=t[o[1]],u=t[s[0]],f=t[s[1]];a(l,c,u,f)&&n.push([r,i])}})),n}(t,e,n),m=p(t),g=function(t,e,r,n){var o=[];return i(r,n,(function(r,n){var i=e[r];if(i[0]!==n&&i[1]!==n){var s=t[n],l=t[i[0]],c=t[i[1]];a(l,c,s,s)&&o.push([r,n])}})),o}(t,e,n,m),y=d(t,function(t,e,r,n,i){var a,u,h=t.map((function(t){return[o(t[0]),o(t[1])]}));for(a=0;a<r.length;++a){var p=r[a];u=p[0];var d=p[1],m=e[u],g=e[d],v=f(c(t[m[0]]),c(t[m[1]]),c(t[g[0]]),c(t[g[1]]));if(v){var y=t.length;t.push([l(v[0]),l(v[1])]),h.push(v),n.push([u,y],[d,y])}}for(n.sort((function(t,e){if(t[0]!==e[0])return t[0]-e[0];var r=h[t[1]],n=h[e[1]];return s(r[0],n[0])||s(r[1],n[1])})),a=n.length-1;a>=0;--a){var x=e[u=(S=n[a])[0]],b=x[0],_=x[1],w=t[b],T=t[_];if((w[0]-T[0]||w[1]-T[1])<0){var k=b;b=_,_=k}x[0]=b;var M,A=x[1]=S[1];for(i&&(M=x[2]);a>0&&n[a-1][0]===u;){var S,E=(S=n[--a])[1];i?e.push([A,E,M]):e.push([A,E]),A=E}i?e.push([A,_,M]):e.push([A,_])}return h}(t,e,h,g,r));return v(e,y,r),!!y||(h.length>0||g.length>0)}},{\"./lib/rat-seg-intersect\":128,\"big-rat\":90,\"big-rat/cmp\":88,\"big-rat/to-float\":102,\"box-intersect\":108,nextafter:480,\"rat-vec\":528,\"robust-segment-intersect\":547,\"union-find\":614}],128:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var a=s(e,t),f=s(n,r),h=u(a,f);if(0===o(h))return null;var p=s(t,r),d=u(f,p),m=i(d,h),g=c(a,m);return l(t,g)};var n=t(\"big-rat/mul\"),i=t(\"big-rat/div\"),a=t(\"big-rat/sub\"),o=t(\"big-rat/sign\"),s=t(\"rat-vec/sub\"),l=t(\"rat-vec/add\"),c=t(\"rat-vec/muls\");function u(t,e){return a(n(t[0],e[1]),n(t[1],e[0]))}},{\"big-rat/div\":89,\"big-rat/mul\":99,\"big-rat/sign\":100,\"big-rat/sub\":101,\"rat-vec/add\":527,\"rat-vec/muls\":529,\"rat-vec/sub\":530}],129:[function(t,e,r){\"use strict\";var n=t(\"clamp\");function i(t,e){null==e&&(e=!0);var r=t[0],i=t[1],a=t[2],o=t[3];return null==o&&(o=e?1:255),e&&(r*=255,i*=255,a*=255,o*=255),16777216*(r=255&n(r,0,255))+((i=255&n(i,0,255))<<16)+((a=255&n(a,0,255))<<8)+(o=255&n(o,0,255))}e.exports=i,e.exports.to=i,e.exports.from=function(t,e){var r=(t=+t)>>>24,n=(16711680&t)>>>16,i=(65280&t)>>>8,a=255&t;return!1===e?[r,n,i,a]:[r/255,n/255,i/255,a/255]}},{clamp:126}],130:[function(t,e,r){\"use strict\";e.exports={aliceblue:[240,248,255],antiquewhite:[250,235,215],aqua:[0,255,255],aquamarine:[127,255,212],azure:[240,255,255],beige:[245,245,220],bisque:[255,228,196],black:[0,0,0],blanchedalmond:[255,235,205],blue:[0,0,255],blueviolet:[138,43,226],brown:[165,42,42],burlywood:[222,184,135],cadetblue:[95,158,160],chartreuse:[127,255,0],chocolate:[210,105,30],coral:[255,127,80],cornflowerblue:[100,149,237],cornsilk:[255,248,220],crimson:[220,20,60],cyan:[0,255,255],darkblue:[0,0,139],darkcyan:[0,139,139],darkgoldenrod:[184,134,11],darkgray:[169,169,169],darkgreen:[0,100,0],darkgrey:[169,169,169],darkkhaki:[189,183,107],darkmagenta:[139,0,139],darkolivegreen:[85,107,47],darkorange:[255,140,0],darkorchid:[153,50,204],darkred:[139,0,0],darksalmon:[233,150,122],darkseagreen:[143,188,143],darkslateblue:[72,61,139],darkslategray:[47,79,79],darkslategrey:[47,79,79],darkturquoise:[0,206,209],darkviolet:[148,0,211],deeppink:[255,20,147],deepskyblue:[0,191,255],dimgray:[105,105,105],dimgrey:[105,105,105],dodgerblue:[30,144,255],firebrick:[178,34,34],floralwhite:[255,250,240],forestgreen:[34,139,34],fuchsia:[255,0,255],gainsboro:[220,220,220],ghostwhite:[248,248,255],gold:[255,215,0],goldenrod:[218,165,32],gray:[128,128,128],green:[0,128,0],greenyellow:[173,255,47],grey:[128,128,128],honeydew:[240,255,240],hotpink:[255,105,180],indianred:[205,92,92],indigo:[75,0,130],ivory:[255,255,240],khaki:[240,230,140],lavender:[230,230,250],lavenderblush:[255,240,245],lawngreen:[124,252,0],lemonchiffon:[255,250,205],lightblue:[173,216,230],lightcoral:[240,128,128],lightcyan:[224,255,255],lightgoldenrodyellow:[250,250,210],lightgray:[211,211,211],lightgreen:[144,238,144],lightgrey:[211,211,211],lightpink:[255,182,193],lightsalmon:[255,160,122],lightseagreen:[32,178,170],lightskyblue:[135,206,250],lightslategray:[119,136,153],lightslategrey:[119,136,153],lightsteelblue:[176,196,222],lightyellow:[255,255,224],lime:[0,255,0],limegreen:[50,205,50],linen:[250,240,230],magenta:[255,0,255],maroon:[128,0,0],mediumaquamarine:[102,205,170],mediumblue:[0,0,205],mediumorchid:[186,85,211],mediumpurple:[147,112,219],mediumseagreen:[60,179,113],mediumslateblue:[123,104,238],mediumspringgreen:[0,250,154],mediumturquoise:[72,209,204],mediumvioletred:[199,21,133],midnightblue:[25,25,112],mintcream:[245,255,250],mistyrose:[255,228,225],moccasin:[255,228,181],navajowhite:[255,222,173],navy:[0,0,128],oldlace:[253,245,230],olive:[128,128,0],olivedrab:[107,142,35],orange:[255,165,0],orangered:[255,69,0],orchid:[218,112,214],palegoldenrod:[238,232,170],palegreen:[152,251,152],paleturquoise:[175,238,238],palevioletred:[219,112,147],papayawhip:[255,239,213],peachpuff:[255,218,185],peru:[205,133,63],pink:[255,192,203],plum:[221,160,221],powderblue:[176,224,230],purple:[128,0,128],rebeccapurple:[102,51,153],red:[255,0,0],rosybrown:[188,143,143],royalblue:[65,105,225],saddlebrown:[139,69,19],salmon:[250,128,114],sandybrown:[244,164,96],seagreen:[46,139,87],seashell:[255,245,238],sienna:[160,82,45],silver:[192,192,192],skyblue:[135,206,235],slateblue:[106,90,205],slategray:[112,128,144],slategrey:[112,128,144],snow:[255,250,250],springgreen:[0,255,127],steelblue:[70,130,180],tan:[210,180,140],teal:[0,128,128],thistle:[216,191,216],tomato:[255,99,71],turquoise:[64,224,208],violet:[238,130,238],wheat:[245,222,179],white:[255,255,255],whitesmoke:[245,245,245],yellow:[255,255,0],yellowgreen:[154,205,50]}},{}],131:[function(t,e,r){\"use strict\";var n=t(\"color-rgba\"),i=t(\"clamp\"),a=t(\"dtype\");e.exports=function(t,e){\"float\"!==e&&e||(e=\"array\"),\"uint\"===e&&(e=\"uint8\"),\"uint_clamped\"===e&&(e=\"uint8_clamped\");var r=new(a(e))(4),o=\"uint8\"!==e&&\"uint8_clamped\"!==e;return t.length&&\"string\"!=typeof t||((t=n(t))[0]/=255,t[1]/=255,t[2]/=255),function(t){return t instanceof Uint8Array||t instanceof Uint8ClampedArray||!!(Array.isArray(t)&&(t[0]>1||0===t[0])&&(t[1]>1||0===t[1])&&(t[2]>1||0===t[2])&&(!t[3]||t[3]>1))}(t)?(r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=null!=t[3]?t[3]:255,o&&(r[0]/=255,r[1]/=255,r[2]/=255,r[3]/=255),r):(o?(r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=null!=t[3]?t[3]:1):(r[0]=i(Math.floor(255*t[0]),0,255),r[1]=i(Math.floor(255*t[1]),0,255),r[2]=i(Math.floor(255*t[2]),0,255),r[3]=null==t[3]?255:i(Math.floor(255*t[3]),0,255)),r)}},{clamp:126,\"color-rgba\":133,dtype:180}],132:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"color-name\"),i=t(\"is-plain-obj\"),a=t(\"defined\");e.exports=function(t){var e,s,l=[],c=1;if(\"string\"==typeof t)if(n[t])l=n[t].slice(),s=\"rgb\";else if(\"transparent\"===t)c=0,s=\"rgb\",l=[0,0,0];else if(/^#[A-Fa-f0-9]+$/.test(t)){var u=(p=t.slice(1)).length;c=1,u<=4?(l=[parseInt(p[0]+p[0],16),parseInt(p[1]+p[1],16),parseInt(p[2]+p[2],16)],4===u&&(c=parseInt(p[3]+p[3],16)/255)):(l=[parseInt(p[0]+p[1],16),parseInt(p[2]+p[3],16),parseInt(p[4]+p[5],16)],8===u&&(c=parseInt(p[6]+p[7],16)/255)),l[0]||(l[0]=0),l[1]||(l[1]=0),l[2]||(l[2]=0),s=\"rgb\"}else if(e=/^((?:rgb|hs[lvb]|hwb|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms)a?)\\s*\\(([^\\)]*)\\)/.exec(t)){var f=e[1],h=\"rgb\"===f,p=f.replace(/a$/,\"\");s=p;u=\"cmyk\"===p?4:\"gray\"===p?1:3;l=e[2].trim().split(/\\s*,\\s*/).map((function(t,e){if(/%$/.test(t))return e===u?parseFloat(t)/100:\"rgb\"===p?255*parseFloat(t)/100:parseFloat(t);if(\"h\"===p[e]){if(/deg$/.test(t))return parseFloat(t);if(void 0!==o[t])return o[t]}return parseFloat(t)})),f===p&&l.push(1),c=h||void 0===l[u]?1:l[u],l=l.slice(0,u)}else t.length>10&&/[0-9](?:\\s|\\/)/.test(t)&&(l=t.match(/([0-9]+)/g).map((function(t){return parseFloat(t)})),s=t.match(/([a-z])/gi).join(\"\").toLowerCase());else if(isNaN(t))if(i(t)){var d=a(t.r,t.red,t.R,null);null!==d?(s=\"rgb\",l=[d,a(t.g,t.green,t.G),a(t.b,t.blue,t.B)]):(s=\"hsl\",l=[a(t.h,t.hue,t.H),a(t.s,t.saturation,t.S),a(t.l,t.lightness,t.L,t.b,t.brightness)]),c=a(t.a,t.alpha,t.opacity,1),null!=t.opacity&&(c/=100)}else(Array.isArray(t)||r.ArrayBuffer&&ArrayBuffer.isView&&ArrayBuffer.isView(t))&&(l=[t[0],t[1],t[2]],s=\"rgb\",c=4===t.length?t[3]:1);else s=\"rgb\",l=[t>>>16,(65280&t)>>>8,255&t];return{space:s,values:l,alpha:c}};var o={red:0,orange:60,yellow:120,green:180,blue:240,purple:300}}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"color-name\":130,defined:175,\"is-plain-obj\":453}],133:[function(t,e,r){\"use strict\";var n=t(\"color-parse\"),i=t(\"color-space/hsl\"),a=t(\"clamp\");e.exports=function(t){var e,r=n(t);return r.space?((e=Array(3))[0]=a(r.values[0],0,255),e[1]=a(r.values[1],0,255),e[2]=a(r.values[2],0,255),\"h\"===r.space[0]&&(e=i.rgb(e)),e.push(a(r.alpha,0,1)),e):[]}},{clamp:126,\"color-parse\":132,\"color-space/hsl\":134}],134:[function(t,e,r){\"use strict\";var n=t(\"./rgb\");e.exports={name:\"hsl\",min:[0,0,0],max:[360,100,100],channel:[\"hue\",\"saturation\",\"lightness\"],alias:[\"HSL\"],rgb:function(t){var e,r,n,i,a,o=t[0]/360,s=t[1]/100,l=t[2]/100;if(0===s)return[a=255*l,a,a];e=2*l-(r=l<.5?l*(1+s):l+s-l*s),i=[0,0,0];for(var c=0;c<3;c++)(n=o+1/3*-(c-1))<0?n++:n>1&&n--,a=6*n<1?e+6*(r-e)*n:2*n<1?r:3*n<2?e+(r-e)*(2/3-n)*6:e,i[c]=255*a;return i}},n.hsl=function(t){var e,r,n=t[0]/255,i=t[1]/255,a=t[2]/255,o=Math.min(n,i,a),s=Math.max(n,i,a),l=s-o;return s===o?e=0:n===s?e=(i-a)/l:i===s?e=2+(a-n)/l:a===s&&(e=4+(n-i)/l),(e=Math.min(60*e,360))<0&&(e+=360),r=(o+s)/2,[e,100*(s===o?0:r<=.5?l/(s+o):l/(2-s-o)),100*r]}},{\"./rgb\":135}],135:[function(t,e,r){\"use strict\";e.exports={name:\"rgb\",min:[0,0,0],max:[255,255,255],channel:[\"red\",\"green\",\"blue\"],alias:[\"RGB\"]}},{}],136:[function(t,e,r){e.exports={jet:[{index:0,rgb:[0,0,131]},{index:.125,rgb:[0,60,170]},{index:.375,rgb:[5,255,255]},{index:.625,rgb:[255,255,0]},{index:.875,rgb:[250,0,0]},{index:1,rgb:[128,0,0]}],hsv:[{index:0,rgb:[255,0,0]},{index:.169,rgb:[253,255,2]},{index:.173,rgb:[247,255,2]},{index:.337,rgb:[0,252,4]},{index:.341,rgb:[0,252,10]},{index:.506,rgb:[1,249,255]},{index:.671,rgb:[2,0,253]},{index:.675,rgb:[8,0,253]},{index:.839,rgb:[255,0,251]},{index:.843,rgb:[255,0,245]},{index:1,rgb:[255,0,6]}],hot:[{index:0,rgb:[0,0,0]},{index:.3,rgb:[230,0,0]},{index:.6,rgb:[255,210,0]},{index:1,rgb:[255,255,255]}],spring:[{index:0,rgb:[255,0,255]},{index:1,rgb:[255,255,0]}],summer:[{index:0,rgb:[0,128,102]},{index:1,rgb:[255,255,102]}],autumn:[{index:0,rgb:[255,0,0]},{index:1,rgb:[255,255,0]}],winter:[{index:0,rgb:[0,0,255]},{index:1,rgb:[0,255,128]}],bone:[{index:0,rgb:[0,0,0]},{index:.376,rgb:[84,84,116]},{index:.753,rgb:[169,200,200]},{index:1,rgb:[255,255,255]}],copper:[{index:0,rgb:[0,0,0]},{index:.804,rgb:[255,160,102]},{index:1,rgb:[255,199,127]}],greys:[{index:0,rgb:[0,0,0]},{index:1,rgb:[255,255,255]}],yignbu:[{index:0,rgb:[8,29,88]},{index:.125,rgb:[37,52,148]},{index:.25,rgb:[34,94,168]},{index:.375,rgb:[29,145,192]},{index:.5,rgb:[65,182,196]},{index:.625,rgb:[127,205,187]},{index:.75,rgb:[199,233,180]},{index:.875,rgb:[237,248,217]},{index:1,rgb:[255,255,217]}],greens:[{index:0,rgb:[0,68,27]},{index:.125,rgb:[0,109,44]},{index:.25,rgb:[35,139,69]},{index:.375,rgb:[65,171,93]},{index:.5,rgb:[116,196,118]},{index:.625,rgb:[161,217,155]},{index:.75,rgb:[199,233,192]},{index:.875,rgb:[229,245,224]},{index:1,rgb:[247,252,245]}],yiorrd:[{index:0,rgb:[128,0,38]},{index:.125,rgb:[189,0,38]},{index:.25,rgb:[227,26,28]},{index:.375,rgb:[252,78,42]},{index:.5,rgb:[253,141,60]},{index:.625,rgb:[254,178,76]},{index:.75,rgb:[254,217,118]},{index:.875,rgb:[255,237,160]},{index:1,rgb:[255,255,204]}],bluered:[{index:0,rgb:[0,0,255]},{index:1,rgb:[255,0,0]}],rdbu:[{index:0,rgb:[5,10,172]},{index:.35,rgb:[106,137,247]},{index:.5,rgb:[190,190,190]},{index:.6,rgb:[220,170,132]},{index:.7,rgb:[230,145,90]},{index:1,rgb:[178,10,28]}],picnic:[{index:0,rgb:[0,0,255]},{index:.1,rgb:[51,153,255]},{index:.2,rgb:[102,204,255]},{index:.3,rgb:[153,204,255]},{index:.4,rgb:[204,204,255]},{index:.5,rgb:[255,255,255]},{index:.6,rgb:[255,204,255]},{index:.7,rgb:[255,153,255]},{index:.8,rgb:[255,102,204]},{index:.9,rgb:[255,102,102]},{index:1,rgb:[255,0,0]}],rainbow:[{index:0,rgb:[150,0,90]},{index:.125,rgb:[0,0,200]},{index:.25,rgb:[0,25,255]},{index:.375,rgb:[0,152,255]},{index:.5,rgb:[44,255,150]},{index:.625,rgb:[151,255,0]},{index:.75,rgb:[255,234,0]},{index:.875,rgb:[255,111,0]},{index:1,rgb:[255,0,0]}],portland:[{index:0,rgb:[12,51,131]},{index:.25,rgb:[10,136,186]},{index:.5,rgb:[242,211,56]},{index:.75,rgb:[242,143,56]},{index:1,rgb:[217,30,30]}],blackbody:[{index:0,rgb:[0,0,0]},{index:.2,rgb:[230,0,0]},{index:.4,rgb:[230,210,0]},{index:.7,rgb:[255,255,255]},{index:1,rgb:[160,200,255]}],earth:[{index:0,rgb:[0,0,130]},{index:.1,rgb:[0,180,180]},{index:.2,rgb:[40,210,40]},{index:.4,rgb:[230,230,50]},{index:.6,rgb:[120,70,20]},{index:1,rgb:[255,255,255]}],electric:[{index:0,rgb:[0,0,0]},{index:.15,rgb:[30,0,100]},{index:.4,rgb:[120,0,100]},{index:.6,rgb:[160,90,0]},{index:.8,rgb:[230,200,0]},{index:1,rgb:[255,250,220]}],alpha:[{index:0,rgb:[255,255,255,0]},{index:1,rgb:[255,255,255,1]}],viridis:[{index:0,rgb:[68,1,84]},{index:.13,rgb:[71,44,122]},{index:.25,rgb:[59,81,139]},{index:.38,rgb:[44,113,142]},{index:.5,rgb:[33,144,141]},{index:.63,rgb:[39,173,129]},{index:.75,rgb:[92,200,99]},{index:.88,rgb:[170,220,50]},{index:1,rgb:[253,231,37]}],inferno:[{index:0,rgb:[0,0,4]},{index:.13,rgb:[31,12,72]},{index:.25,rgb:[85,15,109]},{index:.38,rgb:[136,34,106]},{index:.5,rgb:[186,54,85]},{index:.63,rgb:[227,89,51]},{index:.75,rgb:[249,140,10]},{index:.88,rgb:[249,201,50]},{index:1,rgb:[252,255,164]}],magma:[{index:0,rgb:[0,0,4]},{index:.13,rgb:[28,16,68]},{index:.25,rgb:[79,18,123]},{index:.38,rgb:[129,37,129]},{index:.5,rgb:[181,54,122]},{index:.63,rgb:[229,80,100]},{index:.75,rgb:[251,135,97]},{index:.88,rgb:[254,194,135]},{index:1,rgb:[252,253,191]}],plasma:[{index:0,rgb:[13,8,135]},{index:.13,rgb:[75,3,161]},{index:.25,rgb:[125,3,168]},{index:.38,rgb:[168,34,150]},{index:.5,rgb:[203,70,121]},{index:.63,rgb:[229,107,93]},{index:.75,rgb:[248,148,65]},{index:.88,rgb:[253,195,40]},{index:1,rgb:[240,249,33]}],warm:[{index:0,rgb:[125,0,179]},{index:.13,rgb:[172,0,187]},{index:.25,rgb:[219,0,170]},{index:.38,rgb:[255,0,130]},{index:.5,rgb:[255,63,74]},{index:.63,rgb:[255,123,0]},{index:.75,rgb:[234,176,0]},{index:.88,rgb:[190,228,0]},{index:1,rgb:[147,255,0]}],cool:[{index:0,rgb:[125,0,179]},{index:.13,rgb:[116,0,218]},{index:.25,rgb:[98,74,237]},{index:.38,rgb:[68,146,231]},{index:.5,rgb:[0,204,197]},{index:.63,rgb:[0,247,146]},{index:.75,rgb:[0,255,88]},{index:.88,rgb:[40,255,8]},{index:1,rgb:[147,255,0]}],\"rainbow-soft\":[{index:0,rgb:[125,0,179]},{index:.1,rgb:[199,0,180]},{index:.2,rgb:[255,0,121]},{index:.3,rgb:[255,108,0]},{index:.4,rgb:[222,194,0]},{index:.5,rgb:[150,255,0]},{index:.6,rgb:[0,255,55]},{index:.7,rgb:[0,246,150]},{index:.8,rgb:[50,167,222]},{index:.9,rgb:[103,51,235]},{index:1,rgb:[124,0,186]}],bathymetry:[{index:0,rgb:[40,26,44]},{index:.13,rgb:[59,49,90]},{index:.25,rgb:[64,76,139]},{index:.38,rgb:[63,110,151]},{index:.5,rgb:[72,142,158]},{index:.63,rgb:[85,174,163]},{index:.75,rgb:[120,206,163]},{index:.88,rgb:[187,230,172]},{index:1,rgb:[253,254,204]}],cdom:[{index:0,rgb:[47,15,62]},{index:.13,rgb:[87,23,86]},{index:.25,rgb:[130,28,99]},{index:.38,rgb:[171,41,96]},{index:.5,rgb:[206,67,86]},{index:.63,rgb:[230,106,84]},{index:.75,rgb:[242,149,103]},{index:.88,rgb:[249,193,135]},{index:1,rgb:[254,237,176]}],chlorophyll:[{index:0,rgb:[18,36,20]},{index:.13,rgb:[25,63,41]},{index:.25,rgb:[24,91,59]},{index:.38,rgb:[13,119,72]},{index:.5,rgb:[18,148,80]},{index:.63,rgb:[80,173,89]},{index:.75,rgb:[132,196,122]},{index:.88,rgb:[175,221,162]},{index:1,rgb:[215,249,208]}],density:[{index:0,rgb:[54,14,36]},{index:.13,rgb:[89,23,80]},{index:.25,rgb:[110,45,132]},{index:.38,rgb:[120,77,178]},{index:.5,rgb:[120,113,213]},{index:.63,rgb:[115,151,228]},{index:.75,rgb:[134,185,227]},{index:.88,rgb:[177,214,227]},{index:1,rgb:[230,241,241]}],\"freesurface-blue\":[{index:0,rgb:[30,4,110]},{index:.13,rgb:[47,14,176]},{index:.25,rgb:[41,45,236]},{index:.38,rgb:[25,99,212]},{index:.5,rgb:[68,131,200]},{index:.63,rgb:[114,156,197]},{index:.75,rgb:[157,181,203]},{index:.88,rgb:[200,208,216]},{index:1,rgb:[241,237,236]}],\"freesurface-red\":[{index:0,rgb:[60,9,18]},{index:.13,rgb:[100,17,27]},{index:.25,rgb:[142,20,29]},{index:.38,rgb:[177,43,27]},{index:.5,rgb:[192,87,63]},{index:.63,rgb:[205,125,105]},{index:.75,rgb:[216,162,148]},{index:.88,rgb:[227,199,193]},{index:1,rgb:[241,237,236]}],oxygen:[{index:0,rgb:[64,5,5]},{index:.13,rgb:[106,6,15]},{index:.25,rgb:[144,26,7]},{index:.38,rgb:[168,64,3]},{index:.5,rgb:[188,100,4]},{index:.63,rgb:[206,136,11]},{index:.75,rgb:[220,174,25]},{index:.88,rgb:[231,215,44]},{index:1,rgb:[248,254,105]}],par:[{index:0,rgb:[51,20,24]},{index:.13,rgb:[90,32,35]},{index:.25,rgb:[129,44,34]},{index:.38,rgb:[159,68,25]},{index:.5,rgb:[182,99,19]},{index:.63,rgb:[199,134,22]},{index:.75,rgb:[212,171,35]},{index:.88,rgb:[221,210,54]},{index:1,rgb:[225,253,75]}],phase:[{index:0,rgb:[145,105,18]},{index:.13,rgb:[184,71,38]},{index:.25,rgb:[186,58,115]},{index:.38,rgb:[160,71,185]},{index:.5,rgb:[110,97,218]},{index:.63,rgb:[50,123,164]},{index:.75,rgb:[31,131,110]},{index:.88,rgb:[77,129,34]},{index:1,rgb:[145,105,18]}],salinity:[{index:0,rgb:[42,24,108]},{index:.13,rgb:[33,50,162]},{index:.25,rgb:[15,90,145]},{index:.38,rgb:[40,118,137]},{index:.5,rgb:[59,146,135]},{index:.63,rgb:[79,175,126]},{index:.75,rgb:[120,203,104]},{index:.88,rgb:[193,221,100]},{index:1,rgb:[253,239,154]}],temperature:[{index:0,rgb:[4,35,51]},{index:.13,rgb:[23,51,122]},{index:.25,rgb:[85,59,157]},{index:.38,rgb:[129,79,143]},{index:.5,rgb:[175,95,130]},{index:.63,rgb:[222,112,101]},{index:.75,rgb:[249,146,66]},{index:.88,rgb:[249,196,65]},{index:1,rgb:[232,250,91]}],turbidity:[{index:0,rgb:[34,31,27]},{index:.13,rgb:[65,50,41]},{index:.25,rgb:[98,69,52]},{index:.38,rgb:[131,89,57]},{index:.5,rgb:[161,112,59]},{index:.63,rgb:[185,140,66]},{index:.75,rgb:[202,174,88]},{index:.88,rgb:[216,209,126]},{index:1,rgb:[233,246,171]}],\"velocity-blue\":[{index:0,rgb:[17,32,64]},{index:.13,rgb:[35,52,116]},{index:.25,rgb:[29,81,156]},{index:.38,rgb:[31,113,162]},{index:.5,rgb:[50,144,169]},{index:.63,rgb:[87,173,176]},{index:.75,rgb:[149,196,189]},{index:.88,rgb:[203,221,211]},{index:1,rgb:[254,251,230]}],\"velocity-green\":[{index:0,rgb:[23,35,19]},{index:.13,rgb:[24,64,38]},{index:.25,rgb:[11,95,45]},{index:.38,rgb:[39,123,35]},{index:.5,rgb:[95,146,12]},{index:.63,rgb:[152,165,18]},{index:.75,rgb:[201,186,69]},{index:.88,rgb:[233,216,137]},{index:1,rgb:[255,253,205]}],cubehelix:[{index:0,rgb:[0,0,0]},{index:.07,rgb:[22,5,59]},{index:.13,rgb:[60,4,105]},{index:.2,rgb:[109,1,135]},{index:.27,rgb:[161,0,147]},{index:.33,rgb:[210,2,142]},{index:.4,rgb:[251,11,123]},{index:.47,rgb:[255,29,97]},{index:.53,rgb:[255,54,69]},{index:.6,rgb:[255,85,46]},{index:.67,rgb:[255,120,34]},{index:.73,rgb:[255,157,37]},{index:.8,rgb:[241,191,57]},{index:.87,rgb:[224,220,93]},{index:.93,rgb:[218,241,142]},{index:1,rgb:[227,253,198]}]}},{}],137:[function(t,e,r){\"use strict\";var n=t(\"./colorScale\"),i=t(\"lerp\");function a(t){return[t[0]/255,t[1]/255,t[2]/255,t[3]]}function o(t){for(var e,r=\"#\",n=0;n<3;++n)r+=(\"00\"+(e=(e=t[n]).toString(16))).substr(e.length);return r}function s(t){return\"rgba(\"+t.join(\",\")+\")\"}e.exports=function(t){var e,r,l,c,u,f,h,p,d,m;t||(t={});p=(t.nshades||72)-1,h=t.format||\"hex\",(f=t.colormap)||(f=\"jet\");if(\"string\"==typeof f){if(f=f.toLowerCase(),!n[f])throw Error(f+\" not a supported colorscale\");u=n[f]}else{if(!Array.isArray(f))throw Error(\"unsupported colormap option\",f);u=f.slice()}if(u.length>p+1)throw new Error(f+\" map requires nshades to be at least size \"+u.length);d=Array.isArray(t.alpha)?2!==t.alpha.length?[1,1]:t.alpha.slice():\"number\"==typeof t.alpha?[t.alpha,t.alpha]:[1,1];e=u.map((function(t){return Math.round(t.index*p)})),d[0]=Math.min(Math.max(d[0],0),1),d[1]=Math.min(Math.max(d[1],0),1);var g=u.map((function(t,e){var r=u[e].index,n=u[e].rgb.slice();return 4===n.length&&n[3]>=0&&n[3]<=1||(n[3]=d[0]+(d[1]-d[0])*r),n})),v=[];for(m=0;m<e.length-1;++m){c=e[m+1]-e[m],r=g[m],l=g[m+1];for(var y=0;y<c;y++){var x=y/c;v.push([Math.round(i(r[0],l[0],x)),Math.round(i(r[1],l[1],x)),Math.round(i(r[2],l[2],x)),i(r[3],l[3],x)])}}v.push(u[u.length-1].rgb.concat(d[1])),\"hex\"===h?v=v.map(o):\"rgbaString\"===h?v=v.map(s):\"float\"===h&&(v=v.map(a));return v}},{\"./colorScale\":136,lerp:456}],138:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a){var o=n(e,r,a);if(0===o){var s=i(n(t,e,r)),c=i(n(t,e,a));if(s===c){if(0===s){var u=l(t,e,r),f=l(t,e,a);return u===f?0:u?1:-1}return 0}return 0===c?s>0||l(t,e,a)?-1:1:0===s?c>0||l(t,e,r)?1:-1:i(c-s)}var h=n(t,e,r);return h>0?o>0&&n(t,e,a)>0?1:-1:h<0?o>0||n(t,e,a)>0?1:-1:n(t,e,a)>0||l(t,e,r)?1:-1};var n=t(\"robust-orientation\"),i=t(\"signum\"),a=t(\"two-sum\"),o=t(\"robust-product\"),s=t(\"robust-sum\");function l(t,e,r){var n=a(t[0],-e[0]),i=a(t[1],-e[1]),l=a(r[0],-e[0]),c=a(r[1],-e[1]),u=s(o(n,l),o(i,c));return u[u.length-1]>=0}},{\"robust-orientation\":544,\"robust-product\":545,\"robust-sum\":549,signum:551,\"two-sum\":601}],139:[function(t,e,r){e.exports=function(t,e){var r=t.length,a=t.length-e.length;if(a)return a;switch(r){case 0:return 0;case 1:return t[0]-e[0];case 2:return t[0]+t[1]-e[0]-e[1]||n(t[0],t[1])-n(e[0],e[1]);case 3:var o=t[0]+t[1],s=e[0]+e[1];if(a=o+t[2]-(s+e[2]))return a;var l=n(t[0],t[1]),c=n(e[0],e[1]);return n(l,t[2])-n(c,e[2])||n(l+t[2],o)-n(c+e[2],s);case 4:var u=t[0],f=t[1],h=t[2],p=t[3],d=e[0],m=e[1],g=e[2],v=e[3];return u+f+h+p-(d+m+g+v)||n(u,f,h,p)-n(d,m,g,v,d)||n(u+f,u+h,u+p,f+h,f+p,h+p)-n(d+m,d+g,d+v,m+g,m+v,g+v)||n(u+f+h,u+f+p,u+h+p,f+h+p)-n(d+m+g,d+m+v,d+g+v,m+g+v);default:for(var y=t.slice().sort(i),x=e.slice().sort(i),b=0;b<r;++b)if(a=y[b]-x[b])return a;return 0}};var n=Math.min;function i(t,e){return t-e}},{}],140:[function(t,e,r){\"use strict\";var n=t(\"compare-cell\"),i=t(\"cell-orientation\");e.exports=function(t,e){return n(t,e)||i(t)-i(e)}},{\"cell-orientation\":123,\"compare-cell\":139}],141:[function(t,e,r){\"use strict\";var n=t(\"./lib/ch1d\"),i=t(\"./lib/ch2d\"),a=t(\"./lib/chnd\");e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[[0]];var r=t[0].length;if(0===r)return[];if(1===r)return n(t);if(2===r)return i(t);return a(t,r)}},{\"./lib/ch1d\":142,\"./lib/ch2d\":143,\"./lib/chnd\":144}],142:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=0,r=0,n=1;n<t.length;++n)t[n][0]<t[e][0]&&(e=n),t[n][0]>t[r][0]&&(r=n);return e<r?[[e],[r]]:e>r?[[r],[e]]:[[e]]}},{}],143:[function(t,e,r){\"use strict\";e.exports=function(t){var e=n(t),r=e.length;if(r<=2)return[];for(var i=new Array(r),a=e[r-1],o=0;o<r;++o){var s=e[o];i[o]=[a,s],a=s}return i};var n=t(\"monotone-convex-hull-2d\")},{\"monotone-convex-hull-2d\":465}],144:[function(t,e,r){\"use strict\";e.exports=function(t,e){try{return n(t,!0)}catch(o){var r=i(t);if(r.length<=e)return[];var a=function(t,e){for(var r=t.length,n=new Array(r),i=0;i<e.length;++i)n[i]=t[e[i]];var a=e.length;for(i=0;i<r;++i)e.indexOf(i)<0&&(n[a++]=t[i]);return n}(t,r);return function(t,e){for(var r=t.length,n=e.length,i=0;i<r;++i)for(var a=t[i],o=0;o<a.length;++o){var s=a[o];if(s<n)a[o]=e[s];else{s-=n;for(var l=0;l<n;++l)s>=e[l]&&(s+=1);a[o]=s}}return t}(n(a,!0),r)}};var n=t(\"incremental-convex-hull\"),i=t(\"affine-hull\")},{\"affine-hull\":73,\"incremental-convex-hull\":442}],145:[function(t,e,r){e.exports={AFG:\"afghan\",ALA:\"\\\\b\\\\wland\",ALB:\"albania\",DZA:\"algeria\",ASM:\"^(?=.*americ).*samoa\",AND:\"andorra\",AGO:\"angola\",AIA:\"anguill?a\",ATA:\"antarctica\",ATG:\"antigua\",ARG:\"argentin\",ARM:\"armenia\",ABW:\"^(?!.*bonaire).*\\\\baruba\",AUS:\"australia\",AUT:\"^(?!.*hungary).*austria|\\\\baustri.*\\\\bemp\",AZE:\"azerbaijan\",BHS:\"bahamas\",BHR:\"bahrain\",BGD:\"bangladesh|^(?=.*east).*paki?stan\",BRB:\"barbados\",BLR:\"belarus|byelo\",BEL:\"^(?!.*luxem).*belgium\",BLZ:\"belize|^(?=.*british).*honduras\",BEN:\"benin|dahome\",BMU:\"bermuda\",BTN:\"bhutan\",BOL:\"bolivia\",BES:\"^(?=.*bonaire).*eustatius|^(?=.*carib).*netherlands|\\\\bbes.?islands\",BIH:\"herzegovina|bosnia\",BWA:\"botswana|bechuana\",BVT:\"bouvet\",BRA:\"brazil\",IOT:\"british.?indian.?ocean\",BRN:\"brunei\",BGR:\"bulgaria\",BFA:\"burkina|\\\\bfaso|upper.?volta\",BDI:\"burundi\",CPV:\"verde\",KHM:\"cambodia|kampuchea|khmer\",CMR:\"cameroon\",CAN:\"canada\",CYM:\"cayman\",CAF:\"\\\\bcentral.african.republic\",TCD:\"\\\\bchad\",CHL:\"\\\\bchile\",CHN:\"^(?!.*\\\\bmac)(?!.*\\\\bhong)(?!.*\\\\btai)(?!.*\\\\brep).*china|^(?=.*peo)(?=.*rep).*china\",CXR:\"christmas\",CCK:\"\\\\bcocos|keeling\",COL:\"colombia\",COM:\"comoro\",COG:\"^(?!.*\\\\bdem)(?!.*\\\\bd[\\\\.]?r)(?!.*kinshasa)(?!.*zaire)(?!.*belg)(?!.*l.opoldville)(?!.*free).*\\\\bcongo\",COK:\"\\\\bcook\",CRI:\"costa.?rica\",CIV:\"ivoire|ivory\",HRV:\"croatia\",CUB:\"\\\\bcuba\",CUW:\"^(?!.*bonaire).*\\\\bcura(c|\\xe7)ao\",CYP:\"cyprus\",CSK:\"czechoslovakia\",CZE:\"^(?=.*rep).*czech|czechia|bohemia\",COD:\"\\\\bdem.*congo|congo.*\\\\bdem|congo.*\\\\bd[\\\\.]?r|\\\\bd[\\\\.]?r.*congo|belgian.?congo|congo.?free.?state|kinshasa|zaire|l.opoldville|drc|droc|rdc\",DNK:\"denmark\",DJI:\"djibouti\",DMA:\"dominica(?!n)\",DOM:\"dominican.rep\",ECU:\"ecuador\",EGY:\"egypt\",SLV:\"el.?salvador\",GNQ:\"guine.*eq|eq.*guine|^(?=.*span).*guinea\",ERI:\"eritrea\",EST:\"estonia\",ETH:\"ethiopia|abyssinia\",FLK:\"falkland|malvinas\",FRO:\"faroe|faeroe\",FJI:\"fiji\",FIN:\"finland\",FRA:\"^(?!.*\\\\bdep)(?!.*martinique).*france|french.?republic|\\\\bgaul\",GUF:\"^(?=.*french).*guiana\",PYF:\"french.?polynesia|tahiti\",ATF:\"french.?southern\",GAB:\"gabon\",GMB:\"gambia\",GEO:\"^(?!.*south).*georgia\",DDR:\"german.?democratic.?republic|democratic.?republic.*germany|east.germany\",DEU:\"^(?!.*east).*germany|^(?=.*\\\\bfed.*\\\\brep).*german\",GHA:\"ghana|gold.?coast\",GIB:\"gibraltar\",GRC:\"greece|hellenic|hellas\",GRL:\"greenland\",GRD:\"grenada\",GLP:\"guadeloupe\",GUM:\"\\\\bguam\",GTM:\"guatemala\",GGY:\"guernsey\",GIN:\"^(?!.*eq)(?!.*span)(?!.*bissau)(?!.*portu)(?!.*new).*guinea\",GNB:\"bissau|^(?=.*portu).*guinea\",GUY:\"guyana|british.?guiana\",HTI:\"haiti\",HMD:\"heard.*mcdonald\",VAT:\"holy.?see|vatican|papal.?st\",HND:\"^(?!.*brit).*honduras\",HKG:\"hong.?kong\",HUN:\"^(?!.*austr).*hungary\",ISL:\"iceland\",IND:\"india(?!.*ocea)\",IDN:\"indonesia\",IRN:\"\\\\biran|persia\",IRQ:\"\\\\biraq|mesopotamia\",IRL:\"(^ireland)|(^republic.*ireland)\",IMN:\"^(?=.*isle).*\\\\bman\",ISR:\"israel\",ITA:\"italy\",JAM:\"jamaica\",JPN:\"japan\",JEY:\"jersey\",JOR:\"jordan\",KAZ:\"kazak\",KEN:\"kenya|british.?east.?africa|east.?africa.?prot\",KIR:\"kiribati\",PRK:\"^(?=.*democrat|people|north|d.*p.*.r).*\\\\bkorea|dprk|korea.*(d.*p.*r)\",KWT:\"kuwait\",KGZ:\"kyrgyz|kirghiz\",LAO:\"\\\\blaos?\\\\b\",LVA:\"latvia\",LBN:\"lebanon\",LSO:\"lesotho|basuto\",LBR:\"liberia\",LBY:\"libya\",LIE:\"liechtenstein\",LTU:\"lithuania\",LUX:\"^(?!.*belg).*luxem\",MAC:\"maca(o|u)\",MDG:\"madagascar|malagasy\",MWI:\"malawi|nyasa\",MYS:\"malaysia\",MDV:\"maldive\",MLI:\"\\\\bmali\\\\b\",MLT:\"\\\\bmalta\",MHL:\"marshall\",MTQ:\"martinique\",MRT:\"mauritania\",MUS:\"mauritius\",MYT:\"\\\\bmayotte\",MEX:\"\\\\bmexic\",FSM:\"fed.*micronesia|micronesia.*fed\",MCO:\"monaco\",MNG:\"mongolia\",MNE:\"^(?!.*serbia).*montenegro\",MSR:\"montserrat\",MAR:\"morocco|\\\\bmaroc\",MOZ:\"mozambique\",MMR:\"myanmar|burma\",NAM:\"namibia\",NRU:\"nauru\",NPL:\"nepal\",NLD:\"^(?!.*\\\\bant)(?!.*\\\\bcarib).*netherlands\",ANT:\"^(?=.*\\\\bant).*(nether|dutch)\",NCL:\"new.?caledonia\",NZL:\"new.?zealand\",NIC:\"nicaragua\",NER:\"\\\\bniger(?!ia)\",NGA:\"nigeria\",NIU:\"niue\",NFK:\"norfolk\",MNP:\"mariana\",NOR:\"norway\",OMN:\"\\\\boman|trucial\",PAK:\"^(?!.*east).*paki?stan\",PLW:\"palau\",PSE:\"palestin|\\\\bgaza|west.?bank\",PAN:\"panama\",PNG:\"papua|new.?guinea\",PRY:\"paraguay\",PER:\"peru\",PHL:\"philippines\",PCN:\"pitcairn\",POL:\"poland\",PRT:\"portugal\",PRI:\"puerto.?rico\",QAT:\"qatar\",KOR:\"^(?!.*d.*p.*r)(?!.*democrat)(?!.*people)(?!.*north).*\\\\bkorea(?!.*d.*p.*r)\",MDA:\"moldov|b(a|e)ssarabia\",REU:\"r(e|\\xe9)union\",ROU:\"r(o|u|ou)mania\",RUS:\"\\\\brussia|soviet.?union|u\\\\.?s\\\\.?s\\\\.?r|socialist.?republics\",RWA:\"rwanda\",BLM:\"barth(e|\\xe9)lemy\",SHN:\"helena\",KNA:\"kitts|\\\\bnevis\",LCA:\"\\\\blucia\",MAF:\"^(?=.*collectivity).*martin|^(?=.*france).*martin(?!ique)|^(?=.*french).*martin(?!ique)\",SPM:\"miquelon\",VCT:\"vincent\",WSM:\"^(?!.*amer).*samoa\",SMR:\"san.?marino\",STP:\"\\\\bs(a|\\xe3)o.?tom(e|\\xe9)\",SAU:\"\\\\bsa\\\\w*.?arabia\",SEN:\"senegal\",SRB:\"^(?!.*monte).*serbia\",SYC:\"seychell\",SLE:\"sierra\",SGP:\"singapore\",SXM:\"^(?!.*martin)(?!.*saba).*maarten\",SVK:\"^(?!.*cze).*slovak\",SVN:\"slovenia\",SLB:\"solomon\",SOM:\"somali\",ZAF:\"south.africa|s\\\\\\\\..?africa\",SGS:\"south.?georgia|sandwich\",SSD:\"\\\\bs\\\\w*.?sudan\",ESP:\"spain\",LKA:\"sri.?lanka|ceylon\",SDN:\"^(?!.*\\\\bs(?!u)).*sudan\",SUR:\"surinam|dutch.?guiana\",SJM:\"svalbard\",SWZ:\"swaziland\",SWE:\"sweden\",CHE:\"switz|swiss\",SYR:\"syria\",TWN:\"taiwan|taipei|formosa|^(?!.*peo)(?=.*rep).*china\",TJK:\"tajik\",THA:\"thailand|\\\\bsiam\",MKD:\"macedonia|fyrom\",TLS:\"^(?=.*leste).*timor|^(?=.*east).*timor\",TGO:\"togo\",TKL:\"tokelau\",TON:\"tonga\",TTO:\"trinidad|tobago\",TUN:\"tunisia\",TUR:\"turkey\",TKM:\"turkmen\",TCA:\"turks\",TUV:\"tuvalu\",UGA:\"uganda\",UKR:\"ukrain\",ARE:\"emirates|^u\\\\.?a\\\\.?e\\\\.?$|united.?arab.?em\",GBR:\"united.?kingdom|britain|^u\\\\.?k\\\\.?$\",TZA:\"tanzania\",USA:\"united.?states\\\\b(?!.*islands)|\\\\bu\\\\.?s\\\\.?a\\\\.?\\\\b|^\\\\s*u\\\\.?s\\\\.?\\\\b(?!.*islands)\",UMI:\"minor.?outlying.?is\",URY:\"uruguay\",UZB:\"uzbek\",VUT:\"vanuatu|new.?hebrides\",VEN:\"venezuela\",VNM:\"^(?!.*republic).*viet.?nam|^(?=.*socialist).*viet.?nam\",VGB:\"^(?=.*\\\\bu\\\\.?\\\\s?k).*virgin|^(?=.*brit).*virgin|^(?=.*kingdom).*virgin\",VIR:\"^(?=.*\\\\bu\\\\.?\\\\s?s).*virgin|^(?=.*states).*virgin\",WLF:\"futuna|wallis\",ESH:\"western.sahara\",YEM:\"^(?!.*arab)(?!.*north)(?!.*sana)(?!.*peo)(?!.*dem)(?!.*south)(?!.*aden)(?!.*\\\\bp\\\\.?d\\\\.?r).*yemen\",YMD:\"^(?=.*peo).*yemen|^(?!.*rep)(?=.*dem).*yemen|^(?=.*south).*yemen|^(?=.*aden).*yemen|^(?=.*\\\\bp\\\\.?d\\\\.?r).*yemen\",YUG:\"yugoslavia\",ZMB:\"zambia|northern.?rhodesia\",EAZ:\"zanzibar\",ZWE:\"zimbabwe|^(?!.*northern).*rhodesia\"}},{}],146:[function(t,e,r){e.exports=[\"xx-small\",\"x-small\",\"small\",\"medium\",\"large\",\"x-large\",\"xx-large\",\"larger\",\"smaller\"]},{}],147:[function(t,e,r){e.exports=[\"normal\",\"condensed\",\"semi-condensed\",\"extra-condensed\",\"ultra-condensed\",\"expanded\",\"semi-expanded\",\"extra-expanded\",\"ultra-expanded\"]},{}],148:[function(t,e,r){e.exports=[\"normal\",\"italic\",\"oblique\"]},{}],149:[function(t,e,r){e.exports=[\"normal\",\"bold\",\"bolder\",\"lighter\",\"100\",\"200\",\"300\",\"400\",\"500\",\"600\",\"700\",\"800\",\"900\"]},{}],150:[function(t,e,r){\"use strict\";e.exports={parse:t(\"./parse\"),stringify:t(\"./stringify\")}},{\"./parse\":152,\"./stringify\":153}],151:[function(t,e,r){\"use strict\";var n=t(\"css-font-size-keywords\");e.exports={isSize:function(t){return/^[\\d\\.]/.test(t)||-1!==t.indexOf(\"/\")||-1!==n.indexOf(t)}}},{\"css-font-size-keywords\":146}],152:[function(t,e,r){\"use strict\";var n=t(\"unquote\"),i=t(\"css-global-keywords\"),a=t(\"css-system-font-keywords\"),o=t(\"css-font-weight-keywords\"),s=t(\"css-font-style-keywords\"),l=t(\"css-font-stretch-keywords\"),c=t(\"string-split-by\"),u=t(\"./lib/util\").isSize;e.exports=h;var f=h.cache={};function h(t){if(\"string\"!=typeof t)throw new Error(\"Font argument must be a string.\");if(f[t])return f[t];if(\"\"===t)throw new Error(\"Cannot parse an empty string.\");if(-1!==a.indexOf(t))return f[t]={system:t};for(var e,r={style:\"normal\",variant:\"normal\",weight:\"normal\",stretch:\"normal\",lineHeight:\"normal\",size:\"1rem\",family:[\"serif\"]},h=c(t,/\\s+/);e=h.shift();){if(-1!==i.indexOf(e))return[\"style\",\"variant\",\"weight\",\"stretch\"].forEach((function(t){r[t]=e})),f[t]=r;if(-1===s.indexOf(e))if(\"normal\"!==e&&\"small-caps\"!==e)if(-1===l.indexOf(e)){if(-1===o.indexOf(e)){if(u(e)){var d=c(e,\"/\");if(r.size=d[0],null!=d[1]?r.lineHeight=p(d[1]):\"/\"===h[0]&&(h.shift(),r.lineHeight=p(h.shift())),!h.length)throw new Error(\"Missing required font-family.\");return r.family=c(h.join(\" \"),/\\s*,\\s*/).map(n),f[t]=r}throw new Error(\"Unknown or unsupported font token: \"+e)}r.weight=e}else r.stretch=e;else r.variant=e;else r.style=e}throw new Error(\"Missing required font-size.\")}function p(t){var e=parseFloat(t);return e.toString()===t?e:t}},{\"./lib/util\":151,\"css-font-stretch-keywords\":147,\"css-font-style-keywords\":148,\"css-font-weight-keywords\":149,\"css-global-keywords\":154,\"css-system-font-keywords\":155,\"string-split-by\":585,unquote:616}],153:[function(t,e,r){\"use strict\";var n=t(\"pick-by-alias\"),i=t(\"./lib/util\").isSize,a=m(t(\"css-global-keywords\")),o=m(t(\"css-system-font-keywords\")),s=m(t(\"css-font-weight-keywords\")),l=m(t(\"css-font-style-keywords\")),c=m(t(\"css-font-stretch-keywords\")),u={normal:1,\"small-caps\":1},f={serif:1,\"sans-serif\":1,monospace:1,cursive:1,fantasy:1,\"system-ui\":1},h=\"1rem\",p=\"serif\";function d(t,e){if(t&&!e[t]&&!a[t])throw Error(\"Unknown keyword `\"+t+\"`\");return t}function m(t){for(var e={},r=0;r<t.length;r++)e[t[r]]=1;return e}e.exports=function(t){if((t=n(t,{style:\"style fontstyle fontStyle font-style slope distinction\",variant:\"variant font-variant fontVariant fontvariant var capitalization\",weight:\"weight w font-weight fontWeight fontweight\",stretch:\"stretch font-stretch fontStretch fontstretch width\",size:\"size s font-size fontSize fontsize height em emSize\",lineHeight:\"lh line-height lineHeight lineheight leading\",family:\"font family fontFamily font-family fontfamily type typeface face\",system:\"system reserved default global\"})).system)return t.system&&d(t.system,o),t.system;if(d(t.style,l),d(t.variant,u),d(t.weight,s),d(t.stretch,c),null==t.size&&(t.size=h),\"number\"==typeof t.size&&(t.size+=\"px\"),!i)throw Error(\"Bad size value `\"+t.size+\"`\");t.family||(t.family=p),Array.isArray(t.family)&&(t.family.length||(t.family=[p]),t.family=t.family.map((function(t){return f[t]?t:'\"'+t+'\"'})).join(\", \"));var e=[];return e.push(t.style),t.variant!==t.style&&e.push(t.variant),t.weight!==t.variant&&t.weight!==t.style&&e.push(t.weight),t.stretch!==t.weight&&t.stretch!==t.variant&&t.stretch!==t.style&&e.push(t.stretch),e.push(t.size+(null==t.lineHeight||\"normal\"===t.lineHeight||t.lineHeight+\"\"==\"1\"?\"\":\"/\"+t.lineHeight)),e.push(t.family),e.filter(Boolean).join(\" \")}},{\"./lib/util\":151,\"css-font-stretch-keywords\":147,\"css-font-style-keywords\":148,\"css-font-weight-keywords\":149,\"css-global-keywords\":154,\"css-system-font-keywords\":155,\"pick-by-alias\":494}],154:[function(t,e,r){e.exports=[\"inherit\",\"initial\",\"unset\"]},{}],155:[function(t,e,r){e.exports=[\"caption\",\"icon\",\"menu\",\"message-box\",\"small-caption\",\"status-bar\"]},{}],156:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i,a){var o=i-1,s=i*i,l=o*o,c=(1+2*i)*l,u=i*l,f=s*(3-2*i),h=s*o;if(t.length){a||(a=new Array(t.length));for(var p=t.length-1;p>=0;--p)a[p]=c*t[p]+u*e[p]+f*r[p]+h*n[p];return a}return c*t+u*e+f*r+h*n},e.exports.derivative=function(t,e,r,n,i,a){var o=6*i*i-6*i,s=3*i*i-4*i+1,l=-6*i*i+6*i,c=3*i*i-2*i;if(t.length){a||(a=new Array(t.length));for(var u=t.length-1;u>=0;--u)a[u]=o*t[u]+s*e[u]+l*r[u]+c*n[u];return a}return o*t+s*e+l*r[u]+c*n}},{}],157:[function(t,e,r){\"use strict\";var n=t(\"./lib/thunk.js\");function i(){this.argTypes=[],this.shimArgs=[],this.arrayArgs=[],this.arrayBlockIndices=[],this.scalarArgs=[],this.offsetArgs=[],this.offsetArgIndex=[],this.indexArgs=[],this.shapeArgs=[],this.funcName=\"\",this.pre=null,this.body=null,this.post=null,this.debug=!1}e.exports=function(t){var e=new i;e.pre=t.pre,e.body=t.body,e.post=t.post;var r=t.args.slice(0);e.argTypes=r;for(var a=0;a<r.length;++a){var o=r[a];if(\"array\"===o||\"object\"==typeof o&&o.blockIndices){if(e.argTypes[a]=\"array\",e.arrayArgs.push(a),e.arrayBlockIndices.push(o.blockIndices?o.blockIndices:0),e.shimArgs.push(\"array\"+a),a<e.pre.args.length&&e.pre.args[a].count>0)throw new Error(\"cwise: pre() block may not reference array args\");if(a<e.post.args.length&&e.post.args[a].count>0)throw new Error(\"cwise: post() block may not reference array args\")}else if(\"scalar\"===o)e.scalarArgs.push(a),e.shimArgs.push(\"scalar\"+a);else if(\"index\"===o){if(e.indexArgs.push(a),a<e.pre.args.length&&e.pre.args[a].count>0)throw new Error(\"cwise: pre() block may not reference array index\");if(a<e.body.args.length&&e.body.args[a].lvalue)throw new Error(\"cwise: body() block may not write to array index\");if(a<e.post.args.length&&e.post.args[a].count>0)throw new Error(\"cwise: post() block may not reference array index\")}else if(\"shape\"===o){if(e.shapeArgs.push(a),a<e.pre.args.length&&e.pre.args[a].lvalue)throw new Error(\"cwise: pre() block may not write to array shape\");if(a<e.body.args.length&&e.body.args[a].lvalue)throw new Error(\"cwise: body() block may not write to array shape\");if(a<e.post.args.length&&e.post.args[a].lvalue)throw new Error(\"cwise: post() block may not write to array shape\")}else{if(\"object\"!=typeof o||!o.offset)throw new Error(\"cwise: Unknown argument type \"+r[a]);e.argTypes[a]=\"offset\",e.offsetArgs.push({array:o.array,offset:o.offset}),e.offsetArgIndex.push(a)}}if(e.arrayArgs.length<=0)throw new Error(\"cwise: No array arguments specified\");if(e.pre.args.length>r.length)throw new Error(\"cwise: Too many arguments in pre() block\");if(e.body.args.length>r.length)throw new Error(\"cwise: Too many arguments in body() block\");if(e.post.args.length>r.length)throw new Error(\"cwise: Too many arguments in post() block\");return e.debug=!!t.printCode||!!t.debug,e.funcName=t.funcName||\"cwise\",e.blockSize=t.blockSize||64,n(e)}},{\"./lib/thunk.js\":159}],158:[function(t,e,r){\"use strict\";var n=t(\"uniq\");function i(t,e,r){var n,i,a=t.length,o=e.arrayArgs.length,s=e.indexArgs.length>0,l=[],c=[],u=0,f=0;for(n=0;n<a;++n)c.push([\"i\",n,\"=0\"].join(\"\"));for(i=0;i<o;++i)for(n=0;n<a;++n)f=u,u=t[n],0===n?c.push([\"d\",i,\"s\",n,\"=t\",i,\"p\",u].join(\"\")):c.push([\"d\",i,\"s\",n,\"=(t\",i,\"p\",u,\"-s\",f,\"*t\",i,\"p\",f,\")\"].join(\"\"));for(c.length>0&&l.push(\"var \"+c.join(\",\")),n=a-1;n>=0;--n)u=t[n],l.push([\"for(i\",n,\"=0;i\",n,\"<s\",u,\";++i\",n,\"){\"].join(\"\"));for(l.push(r),n=0;n<a;++n){for(f=u,u=t[n],i=0;i<o;++i)l.push([\"p\",i,\"+=d\",i,\"s\",n].join(\"\"));s&&(n>0&&l.push([\"index[\",f,\"]-=s\",f].join(\"\")),l.push([\"++index[\",u,\"]\"].join(\"\"))),l.push(\"}\")}return l.join(\"\\n\")}function a(t,e,r){for(var n=t.body,i=[],a=[],o=0;o<t.args.length;++o){var s=t.args[o];if(!(s.count<=0)){var l=new RegExp(s.name,\"g\"),c=\"\",u=e.arrayArgs.indexOf(o);switch(e.argTypes[o]){case\"offset\":var f=e.offsetArgIndex.indexOf(o);u=e.offsetArgs[f].array,c=\"+q\"+f;case\"array\":c=\"p\"+u+c;var h=\"l\"+o,p=\"a\"+u;if(0===e.arrayBlockIndices[u])1===s.count?\"generic\"===r[u]?s.lvalue?(i.push([\"var \",h,\"=\",p,\".get(\",c,\")\"].join(\"\")),n=n.replace(l,h),a.push([p,\".set(\",c,\",\",h,\")\"].join(\"\"))):n=n.replace(l,[p,\".get(\",c,\")\"].join(\"\")):n=n.replace(l,[p,\"[\",c,\"]\"].join(\"\")):\"generic\"===r[u]?(i.push([\"var \",h,\"=\",p,\".get(\",c,\")\"].join(\"\")),n=n.replace(l,h),s.lvalue&&a.push([p,\".set(\",c,\",\",h,\")\"].join(\"\"))):(i.push([\"var \",h,\"=\",p,\"[\",c,\"]\"].join(\"\")),n=n.replace(l,h),s.lvalue&&a.push([p,\"[\",c,\"]=\",h].join(\"\")));else{for(var d=[s.name],m=[c],g=0;g<Math.abs(e.arrayBlockIndices[u]);g++)d.push(\"\\\\s*\\\\[([^\\\\]]+)\\\\]\"),m.push(\"$\"+(g+1)+\"*t\"+u+\"b\"+g);if(l=new RegExp(d.join(\"\"),\"g\"),c=m.join(\"+\"),\"generic\"===r[u])throw new Error(\"cwise: Generic arrays not supported in combination with blocks!\");n=n.replace(l,[p,\"[\",c,\"]\"].join(\"\"))}break;case\"scalar\":n=n.replace(l,\"Y\"+e.scalarArgs.indexOf(o));break;case\"index\":n=n.replace(l,\"index\");break;case\"shape\":n=n.replace(l,\"shape\")}}}return[i.join(\"\\n\"),n,a.join(\"\\n\")].join(\"\\n\").trim()}function o(t){for(var e=new Array(t.length),r=!0,n=0;n<t.length;++n){var i=t[n],a=i.match(/\\d+/);a=a?a[0]:\"\",0===i.charAt(0)?e[n]=\"u\"+i.charAt(1)+a:e[n]=i.charAt(0)+a,n>0&&(r=r&&e[n]===e[n-1])}return r?e[0]:e.join(\"\")}e.exports=function(t,e){for(var r=e[1].length-Math.abs(t.arrayBlockIndices[0])|0,s=new Array(t.arrayArgs.length),l=new Array(t.arrayArgs.length),c=0;c<t.arrayArgs.length;++c)l[c]=e[2*c],s[c]=e[2*c+1];var u=[],f=[],h=[],p=[],d=[];for(c=0;c<t.arrayArgs.length;++c){t.arrayBlockIndices[c]<0?(h.push(0),p.push(r),u.push(r),f.push(r+t.arrayBlockIndices[c])):(h.push(t.arrayBlockIndices[c]),p.push(t.arrayBlockIndices[c]+r),u.push(0),f.push(t.arrayBlockIndices[c]));for(var m=[],g=0;g<s[c].length;g++)h[c]<=s[c][g]&&s[c][g]<p[c]&&m.push(s[c][g]-h[c]);d.push(m)}var v=[\"SS\"],y=[\"'use strict'\"],x=[];for(g=0;g<r;++g)x.push([\"s\",g,\"=SS[\",g,\"]\"].join(\"\"));for(c=0;c<t.arrayArgs.length;++c){v.push(\"a\"+c),v.push(\"t\"+c),v.push(\"p\"+c);for(g=0;g<r;++g)x.push([\"t\",c,\"p\",g,\"=t\",c,\"[\",h[c]+g,\"]\"].join(\"\"));for(g=0;g<Math.abs(t.arrayBlockIndices[c]);++g)x.push([\"t\",c,\"b\",g,\"=t\",c,\"[\",u[c]+g,\"]\"].join(\"\"))}for(c=0;c<t.scalarArgs.length;++c)v.push(\"Y\"+c);if(t.shapeArgs.length>0&&x.push(\"shape=SS.slice(0)\"),t.indexArgs.length>0){var b=new Array(r);for(c=0;c<r;++c)b[c]=\"0\";x.push([\"index=[\",b.join(\",\"),\"]\"].join(\"\"))}for(c=0;c<t.offsetArgs.length;++c){var _=t.offsetArgs[c],w=[];for(g=0;g<_.offset.length;++g)0!==_.offset[g]&&(1===_.offset[g]?w.push([\"t\",_.array,\"p\",g].join(\"\")):w.push([_.offset[g],\"*t\",_.array,\"p\",g].join(\"\")));0===w.length?x.push(\"q\"+c+\"=0\"):x.push([\"q\",c,\"=\",w.join(\"+\")].join(\"\"))}var T=n([].concat(t.pre.thisVars).concat(t.body.thisVars).concat(t.post.thisVars));for((x=x.concat(T)).length>0&&y.push(\"var \"+x.join(\",\")),c=0;c<t.arrayArgs.length;++c)y.push(\"p\"+c+\"|=0\");t.pre.body.length>3&&y.push(a(t.pre,t,l));var k=a(t.body,t,l),M=function(t){for(var e=0,r=t[0].length;e<r;){for(var n=1;n<t.length;++n)if(t[n][e]!==t[0][e])return e;++e}return e}(d);M<r?y.push(function(t,e,r,n){for(var a=e.length,o=r.arrayArgs.length,s=r.blockSize,l=r.indexArgs.length>0,c=[],u=0;u<o;++u)c.push([\"var offset\",u,\"=p\",u].join(\"\"));for(u=t;u<a;++u)c.push([\"for(var j\"+u+\"=SS[\",e[u],\"]|0;j\",u,\">0;){\"].join(\"\")),c.push([\"if(j\",u,\"<\",s,\"){\"].join(\"\")),c.push([\"s\",e[u],\"=j\",u].join(\"\")),c.push([\"j\",u,\"=0\"].join(\"\")),c.push([\"}else{s\",e[u],\"=\",s].join(\"\")),c.push([\"j\",u,\"-=\",s,\"}\"].join(\"\")),l&&c.push([\"index[\",e[u],\"]=j\",u].join(\"\"));for(u=0;u<o;++u){for(var f=[\"offset\"+u],h=t;h<a;++h)f.push([\"j\",h,\"*t\",u,\"p\",e[h]].join(\"\"));c.push([\"p\",u,\"=(\",f.join(\"+\"),\")\"].join(\"\"))}for(c.push(i(e,r,n)),u=t;u<a;++u)c.push(\"}\");return c.join(\"\\n\")}(M,d[0],t,k)):y.push(i(d[0],t,k)),t.post.body.length>3&&y.push(a(t.post,t,l)),t.debug&&console.log(\"-----Generated cwise routine for \",e,\":\\n\"+y.join(\"\\n\")+\"\\n----------\");var A=[t.funcName||\"unnamed\",\"_cwise_loop_\",s[0].join(\"s\"),\"m\",M,o(l)].join(\"\");return new Function([\"function \",A,\"(\",v.join(\",\"),\"){\",y.join(\"\\n\"),\"} return \",A].join(\"\"))()}},{uniq:615}],159:[function(t,e,r){\"use strict\";var n=t(\"./compile.js\");e.exports=function(t){var e=[\"'use strict'\",\"var CACHED={}\"],r=[],i=t.funcName+\"_cwise_thunk\";e.push([\"return function \",i,\"(\",t.shimArgs.join(\",\"),\"){\"].join(\"\"));for(var a=[],o=[],s=[[\"array\",t.arrayArgs[0],\".shape.slice(\",Math.max(0,t.arrayBlockIndices[0]),t.arrayBlockIndices[0]<0?\",\"+t.arrayBlockIndices[0]+\")\":\")\"].join(\"\")],l=[],c=[],u=0;u<t.arrayArgs.length;++u){var f=t.arrayArgs[u];r.push([\"t\",f,\"=array\",f,\".dtype,\",\"r\",f,\"=array\",f,\".order\"].join(\"\")),a.push(\"t\"+f),a.push(\"r\"+f),o.push(\"t\"+f),o.push(\"r\"+f+\".join()\"),s.push(\"array\"+f+\".data\"),s.push(\"array\"+f+\".stride\"),s.push(\"array\"+f+\".offset|0\"),u>0&&(l.push(\"array\"+t.arrayArgs[0]+\".shape.length===array\"+f+\".shape.length+\"+(Math.abs(t.arrayBlockIndices[0])-Math.abs(t.arrayBlockIndices[u]))),c.push(\"array\"+t.arrayArgs[0]+\".shape[shapeIndex+\"+Math.max(0,t.arrayBlockIndices[0])+\"]===array\"+f+\".shape[shapeIndex+\"+Math.max(0,t.arrayBlockIndices[u])+\"]\"))}for(t.arrayArgs.length>1&&(e.push(\"if (!(\"+l.join(\" && \")+\")) throw new Error('cwise: Arrays do not all have the same dimensionality!')\"),e.push(\"for(var shapeIndex=array\"+t.arrayArgs[0]+\".shape.length-\"+Math.abs(t.arrayBlockIndices[0])+\"; shapeIndex--\\x3e0;) {\"),e.push(\"if (!(\"+c.join(\" && \")+\")) throw new Error('cwise: Arrays do not all have the same shape!')\"),e.push(\"}\")),u=0;u<t.scalarArgs.length;++u)s.push(\"scalar\"+t.scalarArgs[u]);return r.push([\"type=[\",o.join(\",\"),\"].join()\"].join(\"\")),r.push(\"proc=CACHED[type]\"),e.push(\"var \"+r.join(\",\")),e.push([\"if(!proc){\",\"CACHED[type]=proc=compile([\",a.join(\",\"),\"])}\",\"return proc(\",s.join(\",\"),\")}\"].join(\"\")),t.debug&&console.log(\"-----Generated thunk:\\n\"+e.join(\"\\n\")+\"\\n----------\"),new Function(\"compile\",e.join(\"\\n\"))(n.bind(void 0,t))}},{\"./compile.js\":158}],160:[function(t,e,r){\"use strict\";var n,i=t(\"type/value/is\"),a=t(\"type/value/ensure\"),o=t(\"type/plain-function/ensure\"),s=t(\"es5-ext/object/copy\"),l=t(\"es5-ext/object/normalize-options\"),c=t(\"es5-ext/object/map\"),u=Function.prototype.bind,f=Object.defineProperty,h=Object.prototype.hasOwnProperty;n=function(t,e,r){var n,i=a(e)&&o(e.value);return delete(n=s(e)).writable,delete n.value,n.get=function(){return!r.overwriteDefinition&&h.call(this,t)?i:(e.value=u.call(i,r.resolveContext?r.resolveContext(this):this),f(this,t,e),this[t])},n},e.exports=function(t){var e=l(arguments[1]);return i(e.resolveContext)&&o(e.resolveContext),c(t,(function(t,r){return n(r,t,e)}))}},{\"es5-ext/object/copy\":201,\"es5-ext/object/map\":209,\"es5-ext/object/normalize-options\":210,\"type/plain-function/ensure\":607,\"type/value/ensure\":611,\"type/value/is\":612}],161:[function(t,e,r){\"use strict\";var n=t(\"type/value/is\"),i=t(\"type/plain-function/is\"),a=t(\"es5-ext/object/assign\"),o=t(\"es5-ext/object/normalize-options\"),s=t(\"es5-ext/string/#/contains\");(e.exports=function(t,e){var r,i,l,c,u;return arguments.length<2||\"string\"!=typeof t?(c=e,e=t,t=null):c=arguments[2],n(t)?(r=s.call(t,\"c\"),i=s.call(t,\"e\"),l=s.call(t,\"w\")):(r=l=!0,i=!1),u={value:e,configurable:r,enumerable:i,writable:l},c?a(o(c),u):u}).gs=function(t,e,r){var l,c,u,f;return\"string\"!=typeof t?(u=r,r=e,e=t,t=null):u=arguments[3],n(e)?i(e)?n(r)?i(r)||(u=r,r=void 0):r=void 0:(u=e,e=r=void 0):e=void 0,n(t)?(l=s.call(t,\"c\"),c=s.call(t,\"e\")):(l=!0,c=!1),f={get:e,set:r,configurable:l,enumerable:c},u?a(o(u),f):f}},{\"es5-ext/object/assign\":198,\"es5-ext/object/normalize-options\":210,\"es5-ext/string/#/contains\":217,\"type/plain-function/is\":608,\"type/value/is\":612}],162:[function(t,e,r){!function(t,n){n(\"object\"==typeof r&&void 0!==e?r:t.d3=t.d3||{})}(this,(function(t){\"use strict\";function e(t,e){return t<e?-1:t>e?1:t>=e?0:NaN}function r(t){var r;return 1===t.length&&(r=t,t=function(t,n){return e(r(t),n)}),{left:function(e,r,n,i){for(null==n&&(n=0),null==i&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)<0?n=a+1:i=a}return n},right:function(e,r,n,i){for(null==n&&(n=0),null==i&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)>0?i=a:n=a+1}return n}}}var n=r(e),i=n.right,a=n.left;function o(t,e){return[t,e]}function s(t){return null===t?NaN:+t}function l(t,e){var r,n,i=t.length,a=0,o=-1,l=0,c=0;if(null==e)for(;++o<i;)isNaN(r=s(t[o]))||(c+=(n=r-l)*(r-(l+=n/++a)));else for(;++o<i;)isNaN(r=s(e(t[o],o,t)))||(c+=(n=r-l)*(r-(l+=n/++a)));if(a>1)return c/(a-1)}function c(t,e){var r=l(t,e);return r?Math.sqrt(r):r}function u(t,e){var r,n,i,a=t.length,o=-1;if(null==e){for(;++o<a;)if(null!=(r=t[o])&&r>=r)for(n=i=r;++o<a;)null!=(r=t[o])&&(n>r&&(n=r),i<r&&(i=r))}else for(;++o<a;)if(null!=(r=e(t[o],o,t))&&r>=r)for(n=i=r;++o<a;)null!=(r=e(t[o],o,t))&&(n>r&&(n=r),i<r&&(i=r));return[n,i]}var f=Array.prototype,h=f.slice,p=f.map;function d(t){return function(){return t}}function m(t){return t}function g(t,e,r){t=+t,e=+e,r=(i=arguments.length)<2?(e=t,t=0,1):i<3?1:+r;for(var n=-1,i=0|Math.max(0,Math.ceil((e-t)/r)),a=new Array(i);++n<i;)a[n]=t+n*r;return a}var v=Math.sqrt(50),y=Math.sqrt(10),x=Math.sqrt(2);function b(t,e,r){var n=(e-t)/Math.max(0,r),i=Math.floor(Math.log(n)/Math.LN10),a=n/Math.pow(10,i);return i>=0?(a>=v?10:a>=y?5:a>=x?2:1)*Math.pow(10,i):-Math.pow(10,-i)/(a>=v?10:a>=y?5:a>=x?2:1)}function _(t,e,r){var n=Math.abs(e-t)/Math.max(0,r),i=Math.pow(10,Math.floor(Math.log(n)/Math.LN10)),a=n/i;return a>=v?i*=10:a>=y?i*=5:a>=x&&(i*=2),e<t?-i:i}function w(t){return Math.ceil(Math.log(t.length)/Math.LN2)+1}function T(t,e,r){if(null==r&&(r=s),n=t.length){if((e=+e)<=0||n<2)return+r(t[0],0,t);if(e>=1)return+r(t[n-1],n-1,t);var n,i=(n-1)*e,a=Math.floor(i),o=+r(t[a],a,t);return o+(+r(t[a+1],a+1,t)-o)*(i-a)}}function k(t,e){var r,n,i=t.length,a=-1;if(null==e){for(;++a<i;)if(null!=(r=t[a])&&r>=r)for(n=r;++a<i;)null!=(r=t[a])&&n>r&&(n=r)}else for(;++a<i;)if(null!=(r=e(t[a],a,t))&&r>=r)for(n=r;++a<i;)null!=(r=e(t[a],a,t))&&n>r&&(n=r);return n}function M(t){if(!(i=t.length))return[];for(var e=-1,r=k(t,A),n=new Array(r);++e<r;)for(var i,a=-1,o=n[e]=new Array(i);++a<i;)o[a]=t[a][e];return n}function A(t){return t.length}t.bisect=i,t.bisectRight=i,t.bisectLeft=a,t.ascending=e,t.bisector=r,t.cross=function(t,e,r){var n,i,a,s,l=t.length,c=e.length,u=new Array(l*c);for(null==r&&(r=o),n=a=0;n<l;++n)for(s=t[n],i=0;i<c;++i,++a)u[a]=r(s,e[i]);return u},t.descending=function(t,e){return e<t?-1:e>t?1:e>=t?0:NaN},t.deviation=c,t.extent=u,t.histogram=function(){var t=m,e=u,r=w;function n(n){var a,o,s=n.length,l=new Array(s);for(a=0;a<s;++a)l[a]=t(n[a],a,n);var c=e(l),u=c[0],f=c[1],h=r(l,u,f);Array.isArray(h)||(h=_(u,f,h),h=g(Math.ceil(u/h)*h,f,h));for(var p=h.length;h[0]<=u;)h.shift(),--p;for(;h[p-1]>f;)h.pop(),--p;var d,m=new Array(p+1);for(a=0;a<=p;++a)(d=m[a]=[]).x0=a>0?h[a-1]:u,d.x1=a<p?h[a]:f;for(a=0;a<s;++a)u<=(o=l[a])&&o<=f&&m[i(h,o,0,p)].push(n[a]);return m}return n.value=function(e){return arguments.length?(t=\"function\"==typeof e?e:d(e),n):t},n.domain=function(t){return arguments.length?(e=\"function\"==typeof t?t:d([t[0],t[1]]),n):e},n.thresholds=function(t){return arguments.length?(r=\"function\"==typeof t?t:Array.isArray(t)?d(h.call(t)):d(t),n):r},n},t.thresholdFreedmanDiaconis=function(t,r,n){return t=p.call(t,s).sort(e),Math.ceil((n-r)/(2*(T(t,.75)-T(t,.25))*Math.pow(t.length,-1/3)))},t.thresholdScott=function(t,e,r){return Math.ceil((r-e)/(3.5*c(t)*Math.pow(t.length,-1/3)))},t.thresholdSturges=w,t.max=function(t,e){var r,n,i=t.length,a=-1;if(null==e){for(;++a<i;)if(null!=(r=t[a])&&r>=r)for(n=r;++a<i;)null!=(r=t[a])&&r>n&&(n=r)}else for(;++a<i;)if(null!=(r=e(t[a],a,t))&&r>=r)for(n=r;++a<i;)null!=(r=e(t[a],a,t))&&r>n&&(n=r);return n},t.mean=function(t,e){var r,n=t.length,i=n,a=-1,o=0;if(null==e)for(;++a<n;)isNaN(r=s(t[a]))?--i:o+=r;else for(;++a<n;)isNaN(r=s(e(t[a],a,t)))?--i:o+=r;if(i)return o/i},t.median=function(t,r){var n,i=t.length,a=-1,o=[];if(null==r)for(;++a<i;)isNaN(n=s(t[a]))||o.push(n);else for(;++a<i;)isNaN(n=s(r(t[a],a,t)))||o.push(n);return T(o.sort(e),.5)},t.merge=function(t){for(var e,r,n,i=t.length,a=-1,o=0;++a<i;)o+=t[a].length;for(r=new Array(o);--i>=0;)for(e=(n=t[i]).length;--e>=0;)r[--o]=n[e];return r},t.min=k,t.pairs=function(t,e){null==e&&(e=o);for(var r=0,n=t.length-1,i=t[0],a=new Array(n<0?0:n);r<n;)a[r]=e(i,i=t[++r]);return a},t.permute=function(t,e){for(var r=e.length,n=new Array(r);r--;)n[r]=t[e[r]];return n},t.quantile=T,t.range=g,t.scan=function(t,r){if(n=t.length){var n,i,a=0,o=0,s=t[o];for(null==r&&(r=e);++a<n;)(r(i=t[a],s)<0||0!==r(s,s))&&(s=i,o=a);return 0===r(s,s)?o:void 0}},t.shuffle=function(t,e,r){for(var n,i,a=(null==r?t.length:r)-(e=null==e?0:+e);a;)i=Math.random()*a--|0,n=t[a+e],t[a+e]=t[i+e],t[i+e]=n;return t},t.sum=function(t,e){var r,n=t.length,i=-1,a=0;if(null==e)for(;++i<n;)(r=+t[i])&&(a+=r);else for(;++i<n;)(r=+e(t[i],i,t))&&(a+=r);return a},t.ticks=function(t,e,r){var n,i,a,o,s=-1;if(r=+r,(t=+t)===(e=+e)&&r>0)return[t];if((n=e<t)&&(i=t,t=e,e=i),0===(o=b(t,e,r))||!isFinite(o))return[];if(o>0)for(t=Math.ceil(t/o),e=Math.floor(e/o),a=new Array(i=Math.ceil(e-t+1));++s<i;)a[s]=(t+s)*o;else for(t=Math.floor(t*o),e=Math.ceil(e*o),a=new Array(i=Math.ceil(t-e+1));++s<i;)a[s]=(t-s)/o;return n&&a.reverse(),a},t.tickIncrement=b,t.tickStep=_,t.transpose=M,t.variance=l,t.zip=function(){return M(arguments)},Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],163:[function(t,e,r){!function(t,n){n(\"object\"==typeof r&&void 0!==e?r:t.d3=t.d3||{})}(this,(function(t){\"use strict\";function e(){}function r(t,r){var n=new e;if(t instanceof e)t.each((function(t,e){n.set(e,t)}));else if(Array.isArray(t)){var i,a=-1,o=t.length;if(null==r)for(;++a<o;)n.set(a,t[a]);else for(;++a<o;)n.set(r(i=t[a],a,t),i)}else if(t)for(var s in t)n.set(s,t[s]);return n}function n(){return{}}function i(t,e,r){t[e]=r}function a(){return r()}function o(t,e,r){t.set(e,r)}function s(){}e.prototype=r.prototype={constructor:e,has:function(t){return\"$\"+t in this},get:function(t){return this[\"$\"+t]},set:function(t,e){return this[\"$\"+t]=e,this},remove:function(t){var e=\"$\"+t;return e in this&&delete this[e]},clear:function(){for(var t in this)\"$\"===t[0]&&delete this[t]},keys:function(){var t=[];for(var e in this)\"$\"===e[0]&&t.push(e.slice(1));return t},values:function(){var t=[];for(var e in this)\"$\"===e[0]&&t.push(this[e]);return t},entries:function(){var t=[];for(var e in this)\"$\"===e[0]&&t.push({key:e.slice(1),value:this[e]});return t},size:function(){var t=0;for(var e in this)\"$\"===e[0]&&++t;return t},empty:function(){for(var t in this)if(\"$\"===t[0])return!1;return!0},each:function(t){for(var e in this)\"$\"===e[0]&&t(this[e],e.slice(1),this)}};var l=r.prototype;function c(t,e){var r=new s;if(t instanceof s)t.each((function(t){r.add(t)}));else if(t){var n=-1,i=t.length;if(null==e)for(;++n<i;)r.add(t[n]);else for(;++n<i;)r.add(e(t[n],n,t))}return r}s.prototype=c.prototype={constructor:s,has:l.has,add:function(t){return this[\"$\"+(t+=\"\")]=t,this},remove:l.remove,clear:l.clear,values:l.keys,size:l.size,empty:l.empty,each:l.each},t.nest=function(){var t,e,s,l=[],c=[];function u(n,i,a,o){if(i>=l.length)return null!=t&&n.sort(t),null!=e?e(n):n;for(var s,c,f,h=-1,p=n.length,d=l[i++],m=r(),g=a();++h<p;)(f=m.get(s=d(c=n[h])+\"\"))?f.push(c):m.set(s,[c]);return m.each((function(t,e){o(g,e,u(t,i,a,o))})),g}return s={object:function(t){return u(t,0,n,i)},map:function(t){return u(t,0,a,o)},entries:function(t){return function t(r,n){if(++n>l.length)return r;var i,a=c[n-1];return null!=e&&n>=l.length?i=r.entries():(i=[],r.each((function(e,r){i.push({key:r,values:t(e,n)})}))),null!=a?i.sort((function(t,e){return a(t.key,e.key)})):i}(u(t,0,a,o),0)},key:function(t){return l.push(t),s},sortKeys:function(t){return c[l.length-1]=t,s},sortValues:function(e){return t=e,s},rollup:function(t){return e=t,s}}},t.set=c,t.map=r,t.keys=function(t){var e=[];for(var r in t)e.push(r);return e},t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.entries=function(t){var e=[];for(var r in t)e.push({key:r,value:t[r]});return e},Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],164:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){\"use strict\";function e(t,e,r){t.prototype=e.prototype=r,r.constructor=t}function r(t,e){var r=Object.create(t.prototype);for(var n in e)r[n]=e[n];return r}function n(){}var i=\"\\\\s*([+-]?\\\\d+)\\\\s*\",a=\"\\\\s*([+-]?\\\\d*\\\\.?\\\\d+(?:[eE][+-]?\\\\d+)?)\\\\s*\",o=\"\\\\s*([+-]?\\\\d*\\\\.?\\\\d+(?:[eE][+-]?\\\\d+)?)%\\\\s*\",s=/^#([0-9a-f]{3,8})$/,l=new RegExp(\"^rgb\\\\(\"+[i,i,i]+\"\\\\)$\"),c=new RegExp(\"^rgb\\\\(\"+[o,o,o]+\"\\\\)$\"),u=new RegExp(\"^rgba\\\\(\"+[i,i,i,a]+\"\\\\)$\"),f=new RegExp(\"^rgba\\\\(\"+[o,o,o,a]+\"\\\\)$\"),h=new RegExp(\"^hsl\\\\(\"+[a,o,o]+\"\\\\)$\"),p=new RegExp(\"^hsla\\\\(\"+[a,o,o,a]+\"\\\\)$\"),d={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074};function m(){return this.rgb().formatHex()}function g(){return this.rgb().formatRgb()}function v(t){var e,r;return t=(t+\"\").trim().toLowerCase(),(e=s.exec(t))?(r=e[1].length,e=parseInt(e[1],16),6===r?y(e):3===r?new w(e>>8&15|e>>4&240,e>>4&15|240&e,(15&e)<<4|15&e,1):8===r?x(e>>24&255,e>>16&255,e>>8&255,(255&e)/255):4===r?x(e>>12&15|e>>8&240,e>>8&15|e>>4&240,e>>4&15|240&e,((15&e)<<4|15&e)/255):null):(e=l.exec(t))?new w(e[1],e[2],e[3],1):(e=c.exec(t))?new w(255*e[1]/100,255*e[2]/100,255*e[3]/100,1):(e=u.exec(t))?x(e[1],e[2],e[3],e[4]):(e=f.exec(t))?x(255*e[1]/100,255*e[2]/100,255*e[3]/100,e[4]):(e=h.exec(t))?A(e[1],e[2]/100,e[3]/100,1):(e=p.exec(t))?A(e[1],e[2]/100,e[3]/100,e[4]):d.hasOwnProperty(t)?y(d[t]):\"transparent\"===t?new w(NaN,NaN,NaN,0):null}function y(t){return new w(t>>16&255,t>>8&255,255&t,1)}function x(t,e,r,n){return n<=0&&(t=e=r=NaN),new w(t,e,r,n)}function b(t){return t instanceof n||(t=v(t)),t?new w((t=t.rgb()).r,t.g,t.b,t.opacity):new w}function _(t,e,r,n){return 1===arguments.length?b(t):new w(t,e,r,null==n?1:n)}function w(t,e,r,n){this.r=+t,this.g=+e,this.b=+r,this.opacity=+n}function T(){return\"#\"+M(this.r)+M(this.g)+M(this.b)}function k(){var t=this.opacity;return(1===(t=isNaN(t)?1:Math.max(0,Math.min(1,t)))?\"rgb(\":\"rgba(\")+Math.max(0,Math.min(255,Math.round(this.r)||0))+\", \"+Math.max(0,Math.min(255,Math.round(this.g)||0))+\", \"+Math.max(0,Math.min(255,Math.round(this.b)||0))+(1===t?\")\":\", \"+t+\")\")}function M(t){return((t=Math.max(0,Math.min(255,Math.round(t)||0)))<16?\"0\":\"\")+t.toString(16)}function A(t,e,r,n){return n<=0?t=e=r=NaN:r<=0||r>=1?t=e=NaN:e<=0&&(t=NaN),new L(t,e,r,n)}function S(t){if(t instanceof L)return new L(t.h,t.s,t.l,t.opacity);if(t instanceof n||(t=v(t)),!t)return new L;if(t instanceof L)return t;var e=(t=t.rgb()).r/255,r=t.g/255,i=t.b/255,a=Math.min(e,r,i),o=Math.max(e,r,i),s=NaN,l=o-a,c=(o+a)/2;return l?(s=e===o?(r-i)/l+6*(r<i):r===o?(i-e)/l+2:(e-r)/l+4,l/=c<.5?o+a:2-o-a,s*=60):l=c>0&&c<1?0:s,new L(s,l,c,t.opacity)}function E(t,e,r,n){return 1===arguments.length?S(t):new L(t,e,r,null==n?1:n)}function L(t,e,r,n){this.h=+t,this.s=+e,this.l=+r,this.opacity=+n}function C(t,e,r){return 255*(t<60?e+(r-e)*t/60:t<180?r:t<240?e+(r-e)*(240-t)/60:e)}e(n,v,{copy:function(t){return Object.assign(new this.constructor,this,t)},displayable:function(){return this.rgb().displayable()},hex:m,formatHex:m,formatHsl:function(){return S(this).formatHsl()},formatRgb:g,toString:g}),e(w,_,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new w(this.r*t,this.g*t,this.b*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new w(this.r*t,this.g*t,this.b*t,this.opacity)},rgb:function(){return this},displayable:function(){return-.5<=this.r&&this.r<255.5&&-.5<=this.g&&this.g<255.5&&-.5<=this.b&&this.b<255.5&&0<=this.opacity&&this.opacity<=1},hex:T,formatHex:T,formatRgb:k,toString:k})),e(L,E,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new L(this.h,this.s,this.l*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new L(this.h,this.s,this.l*t,this.opacity)},rgb:function(){var t=this.h%360+360*(this.h<0),e=isNaN(t)||isNaN(this.s)?0:this.s,r=this.l,n=r+(r<.5?r:1-r)*e,i=2*r-n;return new w(C(t>=240?t-240:t+120,i,n),C(t,i,n),C(t<120?t+240:t-120,i,n),this.opacity)},displayable:function(){return(0<=this.s&&this.s<=1||isNaN(this.s))&&0<=this.l&&this.l<=1&&0<=this.opacity&&this.opacity<=1},formatHsl:function(){var t=this.opacity;return(1===(t=isNaN(t)?1:Math.max(0,Math.min(1,t)))?\"hsl(\":\"hsla(\")+(this.h||0)+\", \"+100*(this.s||0)+\"%, \"+100*(this.l||0)+\"%\"+(1===t?\")\":\", \"+t+\")\")}}));var P=Math.PI/180,I=180/Math.PI,O=6/29,z=3*O*O;function D(t){if(t instanceof F)return new F(t.l,t.a,t.b,t.opacity);if(t instanceof H)return G(t);t instanceof w||(t=b(t));var e,r,n=U(t.r),i=U(t.g),a=U(t.b),o=B((.2225045*n+.7168786*i+.0606169*a)/1);return n===i&&i===a?e=r=o:(e=B((.4360747*n+.3850649*i+.1430804*a)/.96422),r=B((.0139322*n+.0971045*i+.7141733*a)/.82521)),new F(116*o-16,500*(e-o),200*(o-r),t.opacity)}function R(t,e,r,n){return 1===arguments.length?D(t):new F(t,e,r,null==n?1:n)}function F(t,e,r,n){this.l=+t,this.a=+e,this.b=+r,this.opacity=+n}function B(t){return t>.008856451679035631?Math.pow(t,1/3):t/z+4/29}function N(t){return t>O?t*t*t:z*(t-4/29)}function j(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function U(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function V(t){if(t instanceof H)return new H(t.h,t.c,t.l,t.opacity);if(t instanceof F||(t=D(t)),0===t.a&&0===t.b)return new H(NaN,0<t.l&&t.l<100?0:NaN,t.l,t.opacity);var e=Math.atan2(t.b,t.a)*I;return new H(e<0?e+360:e,Math.sqrt(t.a*t.a+t.b*t.b),t.l,t.opacity)}function q(t,e,r,n){return 1===arguments.length?V(t):new H(t,e,r,null==n?1:n)}function H(t,e,r,n){this.h=+t,this.c=+e,this.l=+r,this.opacity=+n}function G(t){if(isNaN(t.h))return new F(t.l,0,0,t.opacity);var e=t.h*P;return new F(t.l,Math.cos(e)*t.c,Math.sin(e)*t.c,t.opacity)}e(F,R,r(n,{brighter:function(t){return new F(this.l+18*(null==t?1:t),this.a,this.b,this.opacity)},darker:function(t){return new F(this.l-18*(null==t?1:t),this.a,this.b,this.opacity)},rgb:function(){var t=(this.l+16)/116,e=isNaN(this.a)?t:t+this.a/500,r=isNaN(this.b)?t:t-this.b/200;return new w(j(3.1338561*(e=.96422*N(e))-1.6168667*(t=1*N(t))-.4906146*(r=.82521*N(r))),j(-.9787684*e+1.9161415*t+.033454*r),j(.0719453*e-.2289914*t+1.4052427*r),this.opacity)}})),e(H,q,r(n,{brighter:function(t){return new H(this.h,this.c,this.l+18*(null==t?1:t),this.opacity)},darker:function(t){return new H(this.h,this.c,this.l-18*(null==t?1:t),this.opacity)},rgb:function(){return G(this).rgb()}}));var Y=-.14861,W=1.78277,X=-.29227,Z=-.90649,J=1.97294,K=J*Z,Q=J*W,$=W*X-Z*Y;function tt(t){if(t instanceof rt)return new rt(t.h,t.s,t.l,t.opacity);t instanceof w||(t=b(t));var e=t.r/255,r=t.g/255,n=t.b/255,i=($*n+K*e-Q*r)/($+K-Q),a=n-i,o=(J*(r-i)-X*a)/Z,s=Math.sqrt(o*o+a*a)/(J*i*(1-i)),l=s?Math.atan2(o,a)*I-120:NaN;return new rt(l<0?l+360:l,s,i,t.opacity)}function et(t,e,r,n){return 1===arguments.length?tt(t):new rt(t,e,r,null==n?1:n)}function rt(t,e,r,n){this.h=+t,this.s=+e,this.l=+r,this.opacity=+n}e(rt,et,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new rt(this.h,this.s,this.l*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new rt(this.h,this.s,this.l*t,this.opacity)},rgb:function(){var t=isNaN(this.h)?0:(this.h+120)*P,e=+this.l,r=isNaN(this.s)?0:this.s*e*(1-e),n=Math.cos(t),i=Math.sin(t);return new w(255*(e+r*(Y*n+W*i)),255*(e+r*(X*n+Z*i)),255*(e+r*(J*n)),this.opacity)}})),t.color=v,t.cubehelix=et,t.gray=function(t,e){return new F(t,0,0,null==e?1:e)},t.hcl=q,t.hsl=E,t.lab=R,t.lch=function(t,e,r,n){return 1===arguments.length?V(t):new H(r,e,t,null==n?1:n)},t.rgb=_,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],165:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){\"use strict\";var e={value:function(){}};function r(){for(var t,e=0,r=arguments.length,i={};e<r;++e){if(!(t=arguments[e]+\"\")||t in i||/[\\s.]/.test(t))throw new Error(\"illegal type: \"+t);i[t]=[]}return new n(i)}function n(t){this._=t}function i(t,e){return t.trim().split(/^|\\s+/).map((function(t){var r=\"\",n=t.indexOf(\".\");if(n>=0&&(r=t.slice(n+1),t=t.slice(0,n)),t&&!e.hasOwnProperty(t))throw new Error(\"unknown type: \"+t);return{type:t,name:r}}))}function a(t,e){for(var r,n=0,i=t.length;n<i;++n)if((r=t[n]).name===e)return r.value}function o(t,r,n){for(var i=0,a=t.length;i<a;++i)if(t[i].name===r){t[i]=e,t=t.slice(0,i).concat(t.slice(i+1));break}return null!=n&&t.push({name:r,value:n}),t}n.prototype=r.prototype={constructor:n,on:function(t,e){var r,n=this._,s=i(t+\"\",n),l=-1,c=s.length;if(!(arguments.length<2)){if(null!=e&&\"function\"!=typeof e)throw new Error(\"invalid callback: \"+e);for(;++l<c;)if(r=(t=s[l]).type)n[r]=o(n[r],t.name,e);else if(null==e)for(r in n)n[r]=o(n[r],t.name,null);return this}for(;++l<c;)if((r=(t=s[l]).type)&&(r=a(n[r],t.name)))return r},copy:function(){var t={},e=this._;for(var r in e)t[r]=e[r].slice();return new n(t)},call:function(t,e){if((r=arguments.length-2)>0)for(var r,n,i=new Array(r),a=0;a<r;++a)i[a]=arguments[a+2];if(!this._.hasOwnProperty(t))throw new Error(\"unknown type: \"+t);for(a=0,r=(n=this._[t]).length;a<r;++a)n[a].value.apply(e,i)},apply:function(t,e,r){if(!this._.hasOwnProperty(t))throw new Error(\"unknown type: \"+t);for(var n=this._[t],i=0,a=n.length;i<a;++i)n[i].value.apply(e,r)}},t.dispatch=r,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],166:[function(t,e,r){!function(n,i){\"object\"==typeof r&&void 0!==e?i(r,t(\"d3-quadtree\"),t(\"d3-collection\"),t(\"d3-dispatch\"),t(\"d3-timer\")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3,n.d3)}(this,(function(t,e,r,n,i){\"use strict\";function a(t){return function(){return t}}function o(){return 1e-6*(Math.random()-.5)}function s(t){return t.x+t.vx}function l(t){return t.y+t.vy}function c(t){return t.index}function u(t,e){var r=t.get(e);if(!r)throw new Error(\"missing: \"+e);return r}function f(t){return t.x}function h(t){return t.y}var p=Math.PI*(3-Math.sqrt(5));t.forceCenter=function(t,e){var r;function n(){var n,i,a=r.length,o=0,s=0;for(n=0;n<a;++n)o+=(i=r[n]).x,s+=i.y;for(o=o/a-t,s=s/a-e,n=0;n<a;++n)(i=r[n]).x-=o,i.y-=s}return null==t&&(t=0),null==e&&(e=0),n.initialize=function(t){r=t},n.x=function(e){return arguments.length?(t=+e,n):t},n.y=function(t){return arguments.length?(e=+t,n):e},n},t.forceCollide=function(t){var r,n,i=1,c=1;function u(){for(var t,a,u,h,p,d,m,g=r.length,v=0;v<c;++v)for(a=e.quadtree(r,s,l).visitAfter(f),t=0;t<g;++t)u=r[t],d=n[u.index],m=d*d,h=u.x+u.vx,p=u.y+u.vy,a.visit(y);function y(t,e,r,n,a){var s=t.data,l=t.r,c=d+l;if(!s)return e>h+c||n<h-c||r>p+c||a<p-c;if(s.index>u.index){var f=h-s.x-s.vx,g=p-s.y-s.vy,v=f*f+g*g;v<c*c&&(0===f&&(v+=(f=o())*f),0===g&&(v+=(g=o())*g),v=(c-(v=Math.sqrt(v)))/v*i,u.vx+=(f*=v)*(c=(l*=l)/(m+l)),u.vy+=(g*=v)*c,s.vx-=f*(c=1-c),s.vy-=g*c)}}}function f(t){if(t.data)return t.r=n[t.data.index];for(var e=t.r=0;e<4;++e)t[e]&&t[e].r>t.r&&(t.r=t[e].r)}function h(){if(r){var e,i,a=r.length;for(n=new Array(a),e=0;e<a;++e)i=r[e],n[i.index]=+t(i,e,r)}}return\"function\"!=typeof t&&(t=a(null==t?1:+t)),u.initialize=function(t){r=t,h()},u.iterations=function(t){return arguments.length?(c=+t,u):c},u.strength=function(t){return arguments.length?(i=+t,u):i},u.radius=function(e){return arguments.length?(t=\"function\"==typeof e?e:a(+e),h(),u):t},u},t.forceLink=function(t){var e,n,i,s,l,f=c,h=function(t){return 1/Math.min(s[t.source.index],s[t.target.index])},p=a(30),d=1;function m(r){for(var i=0,a=t.length;i<d;++i)for(var s,c,u,f,h,p,m,g=0;g<a;++g)c=(s=t[g]).source,f=(u=s.target).x+u.vx-c.x-c.vx||o(),h=u.y+u.vy-c.y-c.vy||o(),f*=p=((p=Math.sqrt(f*f+h*h))-n[g])/p*r*e[g],h*=p,u.vx-=f*(m=l[g]),u.vy-=h*m,c.vx+=f*(m=1-m),c.vy+=h*m}function g(){if(i){var a,o,c=i.length,h=t.length,p=r.map(i,f);for(a=0,s=new Array(c);a<h;++a)(o=t[a]).index=a,\"object\"!=typeof o.source&&(o.source=u(p,o.source)),\"object\"!=typeof o.target&&(o.target=u(p,o.target)),s[o.source.index]=(s[o.source.index]||0)+1,s[o.target.index]=(s[o.target.index]||0)+1;for(a=0,l=new Array(h);a<h;++a)o=t[a],l[a]=s[o.source.index]/(s[o.source.index]+s[o.target.index]);e=new Array(h),v(),n=new Array(h),y()}}function v(){if(i)for(var r=0,n=t.length;r<n;++r)e[r]=+h(t[r],r,t)}function y(){if(i)for(var e=0,r=t.length;e<r;++e)n[e]=+p(t[e],e,t)}return null==t&&(t=[]),m.initialize=function(t){i=t,g()},m.links=function(e){return arguments.length?(t=e,g(),m):t},m.id=function(t){return arguments.length?(f=t,m):f},m.iterations=function(t){return arguments.length?(d=+t,m):d},m.strength=function(t){return arguments.length?(h=\"function\"==typeof t?t:a(+t),v(),m):h},m.distance=function(t){return arguments.length?(p=\"function\"==typeof t?t:a(+t),y(),m):p},m},t.forceManyBody=function(){var t,r,n,i,s=a(-30),l=1,c=1/0,u=.81;function p(i){var a,o=t.length,s=e.quadtree(t,f,h).visitAfter(m);for(n=i,a=0;a<o;++a)r=t[a],s.visit(g)}function d(){if(t){var e,r,n=t.length;for(i=new Array(n),e=0;e<n;++e)r=t[e],i[r.index]=+s(r,e,t)}}function m(t){var e,r,n,a,o,s=0,l=0;if(t.length){for(n=a=o=0;o<4;++o)(e=t[o])&&(r=Math.abs(e.value))&&(s+=e.value,l+=r,n+=r*e.x,a+=r*e.y);t.x=n/l,t.y=a/l}else{(e=t).x=e.data.x,e.y=e.data.y;do{s+=i[e.data.index]}while(e=e.next)}t.value=s}function g(t,e,a,s){if(!t.value)return!0;var f=t.x-r.x,h=t.y-r.y,p=s-e,d=f*f+h*h;if(p*p/u<d)return d<c&&(0===f&&(d+=(f=o())*f),0===h&&(d+=(h=o())*h),d<l&&(d=Math.sqrt(l*d)),r.vx+=f*t.value*n/d,r.vy+=h*t.value*n/d),!0;if(!(t.length||d>=c)){(t.data!==r||t.next)&&(0===f&&(d+=(f=o())*f),0===h&&(d+=(h=o())*h),d<l&&(d=Math.sqrt(l*d)));do{t.data!==r&&(p=i[t.data.index]*n/d,r.vx+=f*p,r.vy+=h*p)}while(t=t.next)}}return p.initialize=function(e){t=e,d()},p.strength=function(t){return arguments.length?(s=\"function\"==typeof t?t:a(+t),d(),p):s},p.distanceMin=function(t){return arguments.length?(l=t*t,p):Math.sqrt(l)},p.distanceMax=function(t){return arguments.length?(c=t*t,p):Math.sqrt(c)},p.theta=function(t){return arguments.length?(u=t*t,p):Math.sqrt(u)},p},t.forceRadial=function(t,e,r){var n,i,o,s=a(.1);function l(t){for(var a=0,s=n.length;a<s;++a){var l=n[a],c=l.x-e||1e-6,u=l.y-r||1e-6,f=Math.sqrt(c*c+u*u),h=(o[a]-f)*i[a]*t/f;l.vx+=c*h,l.vy+=u*h}}function c(){if(n){var e,r=n.length;for(i=new Array(r),o=new Array(r),e=0;e<r;++e)o[e]=+t(n[e],e,n),i[e]=isNaN(o[e])?0:+s(n[e],e,n)}}return\"function\"!=typeof t&&(t=a(+t)),null==e&&(e=0),null==r&&(r=0),l.initialize=function(t){n=t,c()},l.strength=function(t){return arguments.length?(s=\"function\"==typeof t?t:a(+t),c(),l):s},l.radius=function(e){return arguments.length?(t=\"function\"==typeof e?e:a(+e),c(),l):t},l.x=function(t){return arguments.length?(e=+t,l):e},l.y=function(t){return arguments.length?(r=+t,l):r},l},t.forceSimulation=function(t){var e,a=1,o=.001,s=1-Math.pow(o,1/300),l=0,c=.6,u=r.map(),f=i.timer(d),h=n.dispatch(\"tick\",\"end\");function d(){m(),h.call(\"tick\",e),a<o&&(f.stop(),h.call(\"end\",e))}function m(r){var n,i,o=t.length;void 0===r&&(r=1);for(var f=0;f<r;++f)for(a+=(l-a)*s,u.each((function(t){t(a)})),n=0;n<o;++n)null==(i=t[n]).fx?i.x+=i.vx*=c:(i.x=i.fx,i.vx=0),null==i.fy?i.y+=i.vy*=c:(i.y=i.fy,i.vy=0);return e}function g(){for(var e,r=0,n=t.length;r<n;++r){if((e=t[r]).index=r,null!=e.fx&&(e.x=e.fx),null!=e.fy&&(e.y=e.fy),isNaN(e.x)||isNaN(e.y)){var i=10*Math.sqrt(r),a=r*p;e.x=i*Math.cos(a),e.y=i*Math.sin(a)}(isNaN(e.vx)||isNaN(e.vy))&&(e.vx=e.vy=0)}}function v(e){return e.initialize&&e.initialize(t),e}return null==t&&(t=[]),g(),e={tick:m,restart:function(){return f.restart(d),e},stop:function(){return f.stop(),e},nodes:function(r){return arguments.length?(t=r,g(),u.each(v),e):t},alpha:function(t){return arguments.length?(a=+t,e):a},alphaMin:function(t){return arguments.length?(o=+t,e):o},alphaDecay:function(t){return arguments.length?(s=+t,e):+s},alphaTarget:function(t){return arguments.length?(l=+t,e):l},velocityDecay:function(t){return arguments.length?(c=1-t,e):1-c},force:function(t,r){return arguments.length>1?(null==r?u.remove(t):u.set(t,v(r)),e):u.get(t)},find:function(e,r,n){var i,a,o,s,l,c=0,u=t.length;for(null==n?n=1/0:n*=n,c=0;c<u;++c)(o=(i=e-(s=t[c]).x)*i+(a=r-s.y)*a)<n&&(l=s,n=o);return l},on:function(t,r){return arguments.length>1?(h.on(t,r),e):h.on(t)}}},t.forceX=function(t){var e,r,n,i=a(.1);function o(t){for(var i,a=0,o=e.length;a<o;++a)(i=e[a]).vx+=(n[a]-i.x)*r[a]*t}function s(){if(e){var a,o=e.length;for(r=new Array(o),n=new Array(o),a=0;a<o;++a)r[a]=isNaN(n[a]=+t(e[a],a,e))?0:+i(e[a],a,e)}}return\"function\"!=typeof t&&(t=a(null==t?0:+t)),o.initialize=function(t){e=t,s()},o.strength=function(t){return arguments.length?(i=\"function\"==typeof t?t:a(+t),s(),o):i},o.x=function(e){return arguments.length?(t=\"function\"==typeof e?e:a(+e),s(),o):t},o},t.forceY=function(t){var e,r,n,i=a(.1);function o(t){for(var i,a=0,o=e.length;a<o;++a)(i=e[a]).vy+=(n[a]-i.y)*r[a]*t}function s(){if(e){var a,o=e.length;for(r=new Array(o),n=new Array(o),a=0;a<o;++a)r[a]=isNaN(n[a]=+t(e[a],a,e))?0:+i(e[a],a,e)}}return\"function\"!=typeof t&&(t=a(null==t?0:+t)),o.initialize=function(t){e=t,s()},o.strength=function(t){return arguments.length?(i=\"function\"==typeof t?t:a(+t),s(),o):i},o.y=function(e){return arguments.length?(t=\"function\"==typeof e?e:a(+e),s(),o):t},o},Object.defineProperty(t,\"__esModule\",{value:!0})}))},{\"d3-collection\":163,\"d3-dispatch\":165,\"d3-quadtree\":170,\"d3-timer\":174}],167:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){\"use strict\";function e(t,e){return t.parent===e.parent?1:2}function r(t,e){return t+e.x}function n(t,e){return Math.max(t,e.y)}function i(t){var e=0,r=t.children,n=r&&r.length;if(n)for(;--n>=0;)e+=r[n].value;else e=1;t.value=e}function a(t,e){var r,n,i,a,s,u=new c(t),f=+t.value&&(u.value=t.value),h=[u];for(null==e&&(e=o);r=h.pop();)if(f&&(r.value=+r.data.value),(i=e(r.data))&&(s=i.length))for(r.children=new Array(s),a=s-1;a>=0;--a)h.push(n=r.children[a]=new c(i[a])),n.parent=r,n.depth=r.depth+1;return u.eachBefore(l)}function o(t){return t.children}function s(t){t.data=t.data.data}function l(t){var e=0;do{t.height=e}while((t=t.parent)&&t.height<++e)}function c(t){this.data=t,this.depth=this.height=0,this.parent=null}c.prototype=a.prototype={constructor:c,count:function(){return this.eachAfter(i)},each:function(t){var e,r,n,i,a=this,o=[a];do{for(e=o.reverse(),o=[];a=e.pop();)if(t(a),r=a.children)for(n=0,i=r.length;n<i;++n)o.push(r[n])}while(o.length);return this},eachAfter:function(t){for(var e,r,n,i=this,a=[i],o=[];i=a.pop();)if(o.push(i),e=i.children)for(r=0,n=e.length;r<n;++r)a.push(e[r]);for(;i=o.pop();)t(i);return this},eachBefore:function(t){for(var e,r,n=this,i=[n];n=i.pop();)if(t(n),e=n.children)for(r=e.length-1;r>=0;--r)i.push(e[r]);return this},sum:function(t){return this.eachAfter((function(e){for(var r=+t(e.data)||0,n=e.children,i=n&&n.length;--i>=0;)r+=n[i].value;e.value=r}))},sort:function(t){return this.eachBefore((function(e){e.children&&e.children.sort(t)}))},path:function(t){for(var e=this,r=function(t,e){if(t===e)return t;var r=t.ancestors(),n=e.ancestors(),i=null;t=r.pop(),e=n.pop();for(;t===e;)i=t,t=r.pop(),e=n.pop();return i}(e,t),n=[e];e!==r;)e=e.parent,n.push(e);for(var i=n.length;t!==r;)n.splice(i,0,t),t=t.parent;return n},ancestors:function(){for(var t=this,e=[t];t=t.parent;)e.push(t);return e},descendants:function(){var t=[];return this.each((function(e){t.push(e)})),t},leaves:function(){var t=[];return this.eachBefore((function(e){e.children||t.push(e)})),t},links:function(){var t=this,e=[];return t.each((function(r){r!==t&&e.push({source:r.parent,target:r})})),e},copy:function(){return a(this).eachBefore(s)}};var u=Array.prototype.slice;function f(t){for(var e,r,n=0,i=(t=function(t){for(var e,r,n=t.length;n;)r=Math.random()*n--|0,e=t[n],t[n]=t[r],t[r]=e;return t}(u.call(t))).length,a=[];n<i;)e=t[n],r&&d(r,e)?++n:(r=g(a=h(a,e)),n=0);return r}function h(t,e){var r,n;if(m(e,t))return[e];for(r=0;r<t.length;++r)if(p(e,t[r])&&m(v(t[r],e),t))return[t[r],e];for(r=0;r<t.length-1;++r)for(n=r+1;n<t.length;++n)if(p(v(t[r],t[n]),e)&&p(v(t[r],e),t[n])&&p(v(t[n],e),t[r])&&m(y(t[r],t[n],e),t))return[t[r],t[n],e];throw new Error}function p(t,e){var r=t.r-e.r,n=e.x-t.x,i=e.y-t.y;return r<0||r*r<n*n+i*i}function d(t,e){var r=t.r-e.r+1e-6,n=e.x-t.x,i=e.y-t.y;return r>0&&r*r>n*n+i*i}function m(t,e){for(var r=0;r<e.length;++r)if(!d(t,e[r]))return!1;return!0}function g(t){switch(t.length){case 1:return{x:(e=t[0]).x,y:e.y,r:e.r};case 2:return v(t[0],t[1]);case 3:return y(t[0],t[1],t[2])}var e}function v(t,e){var r=t.x,n=t.y,i=t.r,a=e.x,o=e.y,s=e.r,l=a-r,c=o-n,u=s-i,f=Math.sqrt(l*l+c*c);return{x:(r+a+l/f*u)/2,y:(n+o+c/f*u)/2,r:(f+i+s)/2}}function y(t,e,r){var n=t.x,i=t.y,a=t.r,o=e.x,s=e.y,l=e.r,c=r.x,u=r.y,f=r.r,h=n-o,p=n-c,d=i-s,m=i-u,g=l-a,v=f-a,y=n*n+i*i-a*a,x=y-o*o-s*s+l*l,b=y-c*c-u*u+f*f,_=p*d-h*m,w=(d*b-m*x)/(2*_)-n,T=(m*g-d*v)/_,k=(p*x-h*b)/(2*_)-i,M=(h*v-p*g)/_,A=T*T+M*M-1,S=2*(a+w*T+k*M),E=w*w+k*k-a*a,L=-(A?(S+Math.sqrt(S*S-4*A*E))/(2*A):E/S);return{x:n+w+T*L,y:i+k+M*L,r:L}}function x(t,e,r){var n,i,a,o,s=t.x-e.x,l=t.y-e.y,c=s*s+l*l;c?(i=e.r+r.r,i*=i,o=t.r+r.r,i>(o*=o)?(n=(c+o-i)/(2*c),a=Math.sqrt(Math.max(0,o/c-n*n)),r.x=t.x-n*s-a*l,r.y=t.y-n*l+a*s):(n=(c+i-o)/(2*c),a=Math.sqrt(Math.max(0,i/c-n*n)),r.x=e.x+n*s-a*l,r.y=e.y+n*l+a*s)):(r.x=e.x+r.r,r.y=e.y)}function b(t,e){var r=t.r+e.r-1e-6,n=e.x-t.x,i=e.y-t.y;return r>0&&r*r>n*n+i*i}function _(t){var e=t._,r=t.next._,n=e.r+r.r,i=(e.x*r.r+r.x*e.r)/n,a=(e.y*r.r+r.y*e.r)/n;return i*i+a*a}function w(t){this._=t,this.next=null,this.previous=null}function T(t){if(!(i=t.length))return 0;var e,r,n,i,a,o,s,l,c,u,h;if((e=t[0]).x=0,e.y=0,!(i>1))return e.r;if(r=t[1],e.x=-r.r,r.x=e.r,r.y=0,!(i>2))return e.r+r.r;x(r,e,n=t[2]),e=new w(e),r=new w(r),n=new w(n),e.next=n.previous=r,r.next=e.previous=n,n.next=r.previous=e;t:for(s=3;s<i;++s){x(e._,r._,n=t[s]),n=new w(n),l=r.next,c=e.previous,u=r._.r,h=e._.r;do{if(u<=h){if(b(l._,n._)){r=l,e.next=r,r.previous=e,--s;continue t}u+=l._.r,l=l.next}else{if(b(c._,n._)){(e=c).next=r,r.previous=e,--s;continue t}h+=c._.r,c=c.previous}}while(l!==c.next);for(n.previous=e,n.next=r,e.next=r.previous=r=n,a=_(e);(n=n.next)!==r;)(o=_(n))<a&&(e=n,a=o);r=e.next}for(e=[r._],n=r;(n=n.next)!==r;)e.push(n._);for(n=f(e),s=0;s<i;++s)(e=t[s]).x-=n.x,e.y-=n.y;return n.r}function k(t){return null==t?null:M(t)}function M(t){if(\"function\"!=typeof t)throw new Error;return t}function A(){return 0}function S(t){return function(){return t}}function E(t){return Math.sqrt(t.value)}function L(t){return function(e){e.children||(e.r=Math.max(0,+t(e)||0))}}function C(t,e){return function(r){if(n=r.children){var n,i,a,o=n.length,s=t(r)*e||0;if(s)for(i=0;i<o;++i)n[i].r+=s;if(a=T(n),s)for(i=0;i<o;++i)n[i].r-=s;r.r=a+s}}}function P(t){return function(e){var r=e.parent;e.r*=t,r&&(e.x=r.x+t*e.x,e.y=r.y+t*e.y)}}function I(t){t.x0=Math.round(t.x0),t.y0=Math.round(t.y0),t.x1=Math.round(t.x1),t.y1=Math.round(t.y1)}function O(t,e,r,n,i){for(var a,o=t.children,s=-1,l=o.length,c=t.value&&(n-e)/t.value;++s<l;)(a=o[s]).y0=r,a.y1=i,a.x0=e,a.x1=e+=a.value*c}var z={depth:-1},D={};function R(t){return t.id}function F(t){return t.parentId}function B(t,e){return t.parent===e.parent?1:2}function N(t){var e=t.children;return e?e[0]:t.t}function j(t){var e=t.children;return e?e[e.length-1]:t.t}function U(t,e,r){var n=r/(e.i-t.i);e.c-=n,e.s+=r,t.c+=n,e.z+=r,e.m+=r}function V(t,e,r){return t.a.parent===e.parent?t.a:r}function q(t,e){this._=t,this.parent=null,this.children=null,this.A=null,this.a=this,this.z=0,this.m=0,this.c=0,this.s=0,this.t=null,this.i=e}function H(t,e,r,n,i){for(var a,o=t.children,s=-1,l=o.length,c=t.value&&(i-r)/t.value;++s<l;)(a=o[s]).x0=e,a.x1=n,a.y0=r,a.y1=r+=a.value*c}q.prototype=Object.create(c.prototype);var G=(1+Math.sqrt(5))/2;function Y(t,e,r,n,i,a){for(var o,s,l,c,u,f,h,p,d,m,g,v=[],y=e.children,x=0,b=0,_=y.length,w=e.value;x<_;){l=i-r,c=a-n;do{u=y[b++].value}while(!u&&b<_);for(f=h=u,g=u*u*(m=Math.max(c/l,l/c)/(w*t)),d=Math.max(h/g,g/f);b<_;++b){if(u+=s=y[b].value,s<f&&(f=s),s>h&&(h=s),g=u*u*m,(p=Math.max(h/g,g/f))>d){u-=s;break}d=p}v.push(o={value:u,dice:l<c,children:y.slice(x,b)}),o.dice?O(o,r,n,i,w?n+=c*u/w:a):H(o,r,n,w?r+=l*u/w:i,a),w-=u,x=b}return v}var W=function t(e){function r(t,r,n,i,a){Y(e,t,r,n,i,a)}return r.ratio=function(e){return t((e=+e)>1?e:1)},r}(G);var X=function t(e){function r(t,r,n,i,a){if((o=t._squarify)&&o.ratio===e)for(var o,s,l,c,u,f=-1,h=o.length,p=t.value;++f<h;){for(l=(s=o[f]).children,c=s.value=0,u=l.length;c<u;++c)s.value+=l[c].value;s.dice?O(s,r,n,i,n+=(a-n)*s.value/p):H(s,r,n,r+=(i-r)*s.value/p,a),p-=s.value}else t._squarify=o=Y(e,t,r,n,i,a),o.ratio=e}return r.ratio=function(e){return t((e=+e)>1?e:1)},r}(G);t.cluster=function(){var t=e,i=1,a=1,o=!1;function s(e){var s,l=0;e.eachAfter((function(e){var i=e.children;i?(e.x=function(t){return t.reduce(r,0)/t.length}(i),e.y=function(t){return 1+t.reduce(n,0)}(i)):(e.x=s?l+=t(e,s):0,e.y=0,s=e)}));var c=function(t){for(var e;e=t.children;)t=e[0];return t}(e),u=function(t){for(var e;e=t.children;)t=e[e.length-1];return t}(e),f=c.x-t(c,u)/2,h=u.x+t(u,c)/2;return e.eachAfter(o?function(t){t.x=(t.x-e.x)*i,t.y=(e.y-t.y)*a}:function(t){t.x=(t.x-f)/(h-f)*i,t.y=(1-(e.y?t.y/e.y:1))*a})}return s.separation=function(e){return arguments.length?(t=e,s):t},s.size=function(t){return arguments.length?(o=!1,i=+t[0],a=+t[1],s):o?null:[i,a]},s.nodeSize=function(t){return arguments.length?(o=!0,i=+t[0],a=+t[1],s):o?[i,a]:null},s},t.hierarchy=a,t.pack=function(){var t=null,e=1,r=1,n=A;function i(i){return i.x=e/2,i.y=r/2,t?i.eachBefore(L(t)).eachAfter(C(n,.5)).eachBefore(P(1)):i.eachBefore(L(E)).eachAfter(C(A,1)).eachAfter(C(n,i.r/Math.min(e,r))).eachBefore(P(Math.min(e,r)/(2*i.r))),i}return i.radius=function(e){return arguments.length?(t=k(e),i):t},i.size=function(t){return arguments.length?(e=+t[0],r=+t[1],i):[e,r]},i.padding=function(t){return arguments.length?(n=\"function\"==typeof t?t:S(+t),i):n},i},t.packEnclose=f,t.packSiblings=function(t){return T(t),t},t.partition=function(){var t=1,e=1,r=0,n=!1;function i(i){var a=i.height+1;return i.x0=i.y0=r,i.x1=t,i.y1=e/a,i.eachBefore(function(t,e){return function(n){n.children&&O(n,n.x0,t*(n.depth+1)/e,n.x1,t*(n.depth+2)/e);var i=n.x0,a=n.y0,o=n.x1-r,s=n.y1-r;o<i&&(i=o=(i+o)/2),s<a&&(a=s=(a+s)/2),n.x0=i,n.y0=a,n.x1=o,n.y1=s}}(e,a)),n&&i.eachBefore(I),i}return i.round=function(t){return arguments.length?(n=!!t,i):n},i.size=function(r){return arguments.length?(t=+r[0],e=+r[1],i):[t,e]},i.padding=function(t){return arguments.length?(r=+t,i):r},i},t.stratify=function(){var t=R,e=F;function r(r){var n,i,a,o,s,u,f,h=r.length,p=new Array(h),d={};for(i=0;i<h;++i)n=r[i],s=p[i]=new c(n),null!=(u=t(n,i,r))&&(u+=\"\")&&(d[f=\"$\"+(s.id=u)]=f in d?D:s);for(i=0;i<h;++i)if(s=p[i],null!=(u=e(r[i],i,r))&&(u+=\"\")){if(!(o=d[\"$\"+u]))throw new Error(\"missing: \"+u);if(o===D)throw new Error(\"ambiguous: \"+u);o.children?o.children.push(s):o.children=[s],s.parent=o}else{if(a)throw new Error(\"multiple roots\");a=s}if(!a)throw new Error(\"no root\");if(a.parent=z,a.eachBefore((function(t){t.depth=t.parent.depth+1,--h})).eachBefore(l),a.parent=null,h>0)throw new Error(\"cycle\");return a}return r.id=function(e){return arguments.length?(t=M(e),r):t},r.parentId=function(t){return arguments.length?(e=M(t),r):e},r},t.tree=function(){var t=B,e=1,r=1,n=null;function i(i){var l=function(t){for(var e,r,n,i,a,o=new q(t,0),s=[o];e=s.pop();)if(n=e._.children)for(e.children=new Array(a=n.length),i=a-1;i>=0;--i)s.push(r=e.children[i]=new q(n[i],i)),r.parent=e;return(o.parent=new q(null,0)).children=[o],o}(i);if(l.eachAfter(a),l.parent.m=-l.z,l.eachBefore(o),n)i.eachBefore(s);else{var c=i,u=i,f=i;i.eachBefore((function(t){t.x<c.x&&(c=t),t.x>u.x&&(u=t),t.depth>f.depth&&(f=t)}));var h=c===u?1:t(c,u)/2,p=h-c.x,d=e/(u.x+h+p),m=r/(f.depth||1);i.eachBefore((function(t){t.x=(t.x+p)*d,t.y=t.depth*m}))}return i}function a(e){var r=e.children,n=e.parent.children,i=e.i?n[e.i-1]:null;if(r){!function(t){for(var e,r=0,n=0,i=t.children,a=i.length;--a>=0;)(e=i[a]).z+=r,e.m+=r,r+=e.s+(n+=e.c)}(e);var a=(r[0].z+r[r.length-1].z)/2;i?(e.z=i.z+t(e._,i._),e.m=e.z-a):e.z=a}else i&&(e.z=i.z+t(e._,i._));e.parent.A=function(e,r,n){if(r){for(var i,a=e,o=e,s=r,l=a.parent.children[0],c=a.m,u=o.m,f=s.m,h=l.m;s=j(s),a=N(a),s&&a;)l=N(l),(o=j(o)).a=e,(i=s.z+f-a.z-c+t(s._,a._))>0&&(U(V(s,e,n),e,i),c+=i,u+=i),f+=s.m,c+=a.m,h+=l.m,u+=o.m;s&&!j(o)&&(o.t=s,o.m+=f-u),a&&!N(l)&&(l.t=a,l.m+=c-h,n=e)}return n}(e,i,e.parent.A||n[0])}function o(t){t._.x=t.z+t.parent.m,t.m+=t.parent.m}function s(t){t.x*=e,t.y=t.depth*r}return i.separation=function(e){return arguments.length?(t=e,i):t},i.size=function(t){return arguments.length?(n=!1,e=+t[0],r=+t[1],i):n?null:[e,r]},i.nodeSize=function(t){return arguments.length?(n=!0,e=+t[0],r=+t[1],i):n?[e,r]:null},i},t.treemap=function(){var t=W,e=!1,r=1,n=1,i=[0],a=A,o=A,s=A,l=A,c=A;function u(t){return t.x0=t.y0=0,t.x1=r,t.y1=n,t.eachBefore(f),i=[0],e&&t.eachBefore(I),t}function f(e){var r=i[e.depth],n=e.x0+r,u=e.y0+r,f=e.x1-r,h=e.y1-r;f<n&&(n=f=(n+f)/2),h<u&&(u=h=(u+h)/2),e.x0=n,e.y0=u,e.x1=f,e.y1=h,e.children&&(r=i[e.depth+1]=a(e)/2,n+=c(e)-r,u+=o(e)-r,(f-=s(e)-r)<n&&(n=f=(n+f)/2),(h-=l(e)-r)<u&&(u=h=(u+h)/2),t(e,n,u,f,h))}return u.round=function(t){return arguments.length?(e=!!t,u):e},u.size=function(t){return arguments.length?(r=+t[0],n=+t[1],u):[r,n]},u.tile=function(e){return arguments.length?(t=M(e),u):t},u.padding=function(t){return arguments.length?u.paddingInner(t).paddingOuter(t):u.paddingInner()},u.paddingInner=function(t){return arguments.length?(a=\"function\"==typeof t?t:S(+t),u):a},u.paddingOuter=function(t){return arguments.length?u.paddingTop(t).paddingRight(t).paddingBottom(t).paddingLeft(t):u.paddingTop()},u.paddingTop=function(t){return arguments.length?(o=\"function\"==typeof t?t:S(+t),u):o},u.paddingRight=function(t){return arguments.length?(s=\"function\"==typeof t?t:S(+t),u):s},u.paddingBottom=function(t){return arguments.length?(l=\"function\"==typeof t?t:S(+t),u):l},u.paddingLeft=function(t){return arguments.length?(c=\"function\"==typeof t?t:S(+t),u):c},u},t.treemapBinary=function(t,e,r,n,i){var a,o,s=t.children,l=s.length,c=new Array(l+1);for(c[0]=o=a=0;a<l;++a)c[a+1]=o+=s[a].value;!function t(e,r,n,i,a,o,l){if(e>=r-1){var u=s[e];return u.x0=i,u.y0=a,u.x1=o,void(u.y1=l)}var f=c[e],h=n/2+f,p=e+1,d=r-1;for(;p<d;){var m=p+d>>>1;c[m]<h?p=m+1:d=m}h-c[p-1]<c[p]-h&&e+1<p&&--p;var g=c[p]-f,v=n-g;if(o-i>l-a){var y=(i*v+o*g)/n;t(e,p,g,i,a,y,l),t(p,r,v,y,a,o,l)}else{var x=(a*v+l*g)/n;t(e,p,g,i,a,o,x),t(p,r,v,i,x,o,l)}}(0,l,t.value,e,r,n,i)},t.treemapDice=O,t.treemapResquarify=X,t.treemapSlice=H,t.treemapSliceDice=function(t,e,r,n,i){(1&t.depth?H:O)(t,e,r,n,i)},t.treemapSquarify=W,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],168:[function(t,e,r){!function(n,i){\"object\"==typeof r&&void 0!==e?i(r,t(\"d3-color\")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){\"use strict\";function r(t,e,r,n,i){var a=t*t,o=a*t;return((1-3*t+3*a-o)*e+(4-6*a+3*o)*r+(1+3*t+3*a-3*o)*n+o*i)/6}function n(t){var e=t.length-1;return function(n){var i=n<=0?n=0:n>=1?(n=1,e-1):Math.floor(n*e),a=t[i],o=t[i+1],s=i>0?t[i-1]:2*a-o,l=i<e-1?t[i+2]:2*o-a;return r((n-i/e)*e,s,a,o,l)}}function i(t){var e=t.length;return function(n){var i=Math.floor(((n%=1)<0?++n:n)*e),a=t[(i+e-1)%e],o=t[i%e],s=t[(i+1)%e],l=t[(i+2)%e];return r((n-i/e)*e,a,o,s,l)}}function a(t){return function(){return t}}function o(t,e){return function(r){return t+r*e}}function s(t,e){var r=e-t;return r?o(t,r>180||r<-180?r-360*Math.round(r/360):r):a(isNaN(t)?e:t)}function l(t){return 1==(t=+t)?c:function(e,r){return r-e?function(t,e,r){return t=Math.pow(t,r),e=Math.pow(e,r)-t,r=1/r,function(n){return Math.pow(t+n*e,r)}}(e,r,t):a(isNaN(e)?r:e)}}function c(t,e){var r=e-t;return r?o(t,r):a(isNaN(t)?e:t)}var u=function t(r){var n=l(r);function i(t,r){var i=n((t=e.rgb(t)).r,(r=e.rgb(r)).r),a=n(t.g,r.g),o=n(t.b,r.b),s=c(t.opacity,r.opacity);return function(e){return t.r=i(e),t.g=a(e),t.b=o(e),t.opacity=s(e),t+\"\"}}return i.gamma=t,i}(1);function f(t){return function(r){var n,i,a=r.length,o=new Array(a),s=new Array(a),l=new Array(a);for(n=0;n<a;++n)i=e.rgb(r[n]),o[n]=i.r||0,s[n]=i.g||0,l[n]=i.b||0;return o=t(o),s=t(s),l=t(l),i.opacity=1,function(t){return i.r=o(t),i.g=s(t),i.b=l(t),i+\"\"}}}var h=f(n),p=f(i);function d(t,e){e||(e=[]);var r,n=t?Math.min(e.length,t.length):0,i=e.slice();return function(a){for(r=0;r<n;++r)i[r]=t[r]*(1-a)+e[r]*a;return i}}function m(t){return ArrayBuffer.isView(t)&&!(t instanceof DataView)}function g(t,e){var r,n=e?e.length:0,i=t?Math.min(n,t.length):0,a=new Array(i),o=new Array(n);for(r=0;r<i;++r)a[r]=T(t[r],e[r]);for(;r<n;++r)o[r]=e[r];return function(t){for(r=0;r<i;++r)o[r]=a[r](t);return o}}function v(t,e){var r=new Date;return t=+t,e=+e,function(n){return r.setTime(t*(1-n)+e*n),r}}function y(t,e){return t=+t,e=+e,function(r){return t*(1-r)+e*r}}function x(t,e){var r,n={},i={};for(r in null!==t&&\"object\"==typeof t||(t={}),null!==e&&\"object\"==typeof e||(e={}),e)r in t?n[r]=T(t[r],e[r]):i[r]=e[r];return function(t){for(r in n)i[r]=n[r](t);return i}}var b=/[-+]?(?:\\d+\\.?\\d*|\\.?\\d+)(?:[eE][-+]?\\d+)?/g,_=new RegExp(b.source,\"g\");function w(t,e){var r,n,i,a=b.lastIndex=_.lastIndex=0,o=-1,s=[],l=[];for(t+=\"\",e+=\"\";(r=b.exec(t))&&(n=_.exec(e));)(i=n.index)>a&&(i=e.slice(a,i),s[o]?s[o]+=i:s[++o]=i),(r=r[0])===(n=n[0])?s[o]?s[o]+=n:s[++o]=n:(s[++o]=null,l.push({i:o,x:y(r,n)})),a=_.lastIndex;return a<e.length&&(i=e.slice(a),s[o]?s[o]+=i:s[++o]=i),s.length<2?l[0]?function(t){return function(e){return t(e)+\"\"}}(l[0].x):function(t){return function(){return t}}(e):(e=l.length,function(t){for(var r,n=0;n<e;++n)s[(r=l[n]).i]=r.x(t);return s.join(\"\")})}function T(t,r){var n,i=typeof r;return null==r||\"boolean\"===i?a(r):(\"number\"===i?y:\"string\"===i?(n=e.color(r))?(r=n,u):w:r instanceof e.color?u:r instanceof Date?v:m(r)?d:Array.isArray(r)?g:\"function\"!=typeof r.valueOf&&\"function\"!=typeof r.toString||isNaN(r)?x:y)(t,r)}var k,M,A,S,E=180/Math.PI,L={translateX:0,translateY:0,rotate:0,skewX:0,scaleX:1,scaleY:1};function C(t,e,r,n,i,a){var o,s,l;return(o=Math.sqrt(t*t+e*e))&&(t/=o,e/=o),(l=t*r+e*n)&&(r-=t*l,n-=e*l),(s=Math.sqrt(r*r+n*n))&&(r/=s,n/=s,l/=s),t*n<e*r&&(t=-t,e=-e,l=-l,o=-o),{translateX:i,translateY:a,rotate:Math.atan2(e,t)*E,skewX:Math.atan(l)*E,scaleX:o,scaleY:s}}function P(t,e,r,n){function i(t){return t.length?t.pop()+\" \":\"\"}return function(a,o){var s=[],l=[];return a=t(a),o=t(o),function(t,n,i,a,o,s){if(t!==i||n!==a){var l=o.push(\"translate(\",null,e,null,r);s.push({i:l-4,x:y(t,i)},{i:l-2,x:y(n,a)})}else(i||a)&&o.push(\"translate(\"+i+e+a+r)}(a.translateX,a.translateY,o.translateX,o.translateY,s,l),function(t,e,r,a){t!==e?(t-e>180?e+=360:e-t>180&&(t+=360),a.push({i:r.push(i(r)+\"rotate(\",null,n)-2,x:y(t,e)})):e&&r.push(i(r)+\"rotate(\"+e+n)}(a.rotate,o.rotate,s,l),function(t,e,r,a){t!==e?a.push({i:r.push(i(r)+\"skewX(\",null,n)-2,x:y(t,e)}):e&&r.push(i(r)+\"skewX(\"+e+n)}(a.skewX,o.skewX,s,l),function(t,e,r,n,a,o){if(t!==r||e!==n){var s=a.push(i(a)+\"scale(\",null,\",\",null,\")\");o.push({i:s-4,x:y(t,r)},{i:s-2,x:y(e,n)})}else 1===r&&1===n||a.push(i(a)+\"scale(\"+r+\",\"+n+\")\")}(a.scaleX,a.scaleY,o.scaleX,o.scaleY,s,l),a=o=null,function(t){for(var e,r=-1,n=l.length;++r<n;)s[(e=l[r]).i]=e.x(t);return s.join(\"\")}}}var I=P((function(t){return\"none\"===t?L:(k||(k=document.createElement(\"DIV\"),M=document.documentElement,A=document.defaultView),k.style.transform=t,t=A.getComputedStyle(M.appendChild(k),null).getPropertyValue(\"transform\"),M.removeChild(k),C(+(t=t.slice(7,-1).split(\",\"))[0],+t[1],+t[2],+t[3],+t[4],+t[5]))}),\"px, \",\"px)\",\"deg)\"),O=P((function(t){return null==t?L:(S||(S=document.createElementNS(\"http://www.w3.org/2000/svg\",\"g\")),S.setAttribute(\"transform\",t),(t=S.transform.baseVal.consolidate())?C((t=t.matrix).a,t.b,t.c,t.d,t.e,t.f):L)}),\", \",\")\",\")\"),z=Math.SQRT2;function D(t){return((t=Math.exp(t))+1/t)/2}function R(t){return function(r,n){var i=t((r=e.hsl(r)).h,(n=e.hsl(n)).h),a=c(r.s,n.s),o=c(r.l,n.l),s=c(r.opacity,n.opacity);return function(t){return r.h=i(t),r.s=a(t),r.l=o(t),r.opacity=s(t),r+\"\"}}}var F=R(s),B=R(c);function N(t){return function(r,n){var i=t((r=e.hcl(r)).h,(n=e.hcl(n)).h),a=c(r.c,n.c),o=c(r.l,n.l),s=c(r.opacity,n.opacity);return function(t){return r.h=i(t),r.c=a(t),r.l=o(t),r.opacity=s(t),r+\"\"}}}var j=N(s),U=N(c);function V(t){return function r(n){function i(r,i){var a=t((r=e.cubehelix(r)).h,(i=e.cubehelix(i)).h),o=c(r.s,i.s),s=c(r.l,i.l),l=c(r.opacity,i.opacity);return function(t){return r.h=a(t),r.s=o(t),r.l=s(Math.pow(t,n)),r.opacity=l(t),r+\"\"}}return n=+n,i.gamma=r,i}(1)}var q=V(s),H=V(c);t.interpolate=T,t.interpolateArray=function(t,e){return(m(e)?d:g)(t,e)},t.interpolateBasis=n,t.interpolateBasisClosed=i,t.interpolateCubehelix=q,t.interpolateCubehelixLong=H,t.interpolateDate=v,t.interpolateDiscrete=function(t){var e=t.length;return function(r){return t[Math.max(0,Math.min(e-1,Math.floor(r*e)))]}},t.interpolateHcl=j,t.interpolateHclLong=U,t.interpolateHsl=F,t.interpolateHslLong=B,t.interpolateHue=function(t,e){var r=s(+t,+e);return function(t){var e=r(t);return e-360*Math.floor(e/360)}},t.interpolateLab=function(t,r){var n=c((t=e.lab(t)).l,(r=e.lab(r)).l),i=c(t.a,r.a),a=c(t.b,r.b),o=c(t.opacity,r.opacity);return function(e){return t.l=n(e),t.a=i(e),t.b=a(e),t.opacity=o(e),t+\"\"}},t.interpolateNumber=y,t.interpolateNumberArray=d,t.interpolateObject=x,t.interpolateRgb=u,t.interpolateRgbBasis=h,t.interpolateRgbBasisClosed=p,t.interpolateRound=function(t,e){return t=+t,e=+e,function(r){return Math.round(t*(1-r)+e*r)}},t.interpolateString=w,t.interpolateTransformCss=I,t.interpolateTransformSvg=O,t.interpolateZoom=function(t,e){var r,n,i=t[0],a=t[1],o=t[2],s=e[0],l=e[1],c=e[2],u=s-i,f=l-a,h=u*u+f*f;if(h<1e-12)n=Math.log(c/o)/z,r=function(t){return[i+t*u,a+t*f,o*Math.exp(z*t*n)]};else{var p=Math.sqrt(h),d=(c*c-o*o+4*h)/(2*o*2*p),m=(c*c-o*o-4*h)/(2*c*2*p),g=Math.log(Math.sqrt(d*d+1)-d),v=Math.log(Math.sqrt(m*m+1)-m);n=(v-g)/z,r=function(t){var e,r=t*n,s=D(g),l=o/(2*p)*(s*(e=z*r+g,((e=Math.exp(2*e))-1)/(e+1))-function(t){return((t=Math.exp(t))-1/t)/2}(g));return[i+l*u,a+l*f,o*s/D(z*r+g)]}}return r.duration=1e3*n,r},t.piecewise=function(t,e){for(var r=0,n=e.length-1,i=e[0],a=new Array(n<0?0:n);r<n;)a[r]=t(i,i=e[++r]);return function(t){var e=Math.max(0,Math.min(n-1,Math.floor(t*=n)));return a[e](t-e)}},t.quantize=function(t,e){for(var r=new Array(e),n=0;n<e;++n)r[n]=t(n/(e-1));return r},Object.defineProperty(t,\"__esModule\",{value:!0})}))},{\"d3-color\":164}],169:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){\"use strict\";var e=Math.PI,r=2*e,n=r-1e-6;function i(){this._x0=this._y0=this._x1=this._y1=null,this._=\"\"}function a(){return new i}i.prototype=a.prototype={constructor:i,moveTo:function(t,e){this._+=\"M\"+(this._x0=this._x1=+t)+\",\"+(this._y0=this._y1=+e)},closePath:function(){null!==this._x1&&(this._x1=this._x0,this._y1=this._y0,this._+=\"Z\")},lineTo:function(t,e){this._+=\"L\"+(this._x1=+t)+\",\"+(this._y1=+e)},quadraticCurveTo:function(t,e,r,n){this._+=\"Q\"+ +t+\",\"+ +e+\",\"+(this._x1=+r)+\",\"+(this._y1=+n)},bezierCurveTo:function(t,e,r,n,i,a){this._+=\"C\"+ +t+\",\"+ +e+\",\"+ +r+\",\"+ +n+\",\"+(this._x1=+i)+\",\"+(this._y1=+a)},arcTo:function(t,r,n,i,a){t=+t,r=+r,n=+n,i=+i,a=+a;var o=this._x1,s=this._y1,l=n-t,c=i-r,u=o-t,f=s-r,h=u*u+f*f;if(a<0)throw new Error(\"negative radius: \"+a);if(null===this._x1)this._+=\"M\"+(this._x1=t)+\",\"+(this._y1=r);else if(h>1e-6)if(Math.abs(f*l-c*u)>1e-6&&a){var p=n-o,d=i-s,m=l*l+c*c,g=p*p+d*d,v=Math.sqrt(m),y=Math.sqrt(h),x=a*Math.tan((e-Math.acos((m+h-g)/(2*v*y)))/2),b=x/y,_=x/v;Math.abs(b-1)>1e-6&&(this._+=\"L\"+(t+b*u)+\",\"+(r+b*f)),this._+=\"A\"+a+\",\"+a+\",0,0,\"+ +(f*p>u*d)+\",\"+(this._x1=t+_*l)+\",\"+(this._y1=r+_*c)}else this._+=\"L\"+(this._x1=t)+\",\"+(this._y1=r);else;},arc:function(t,i,a,o,s,l){t=+t,i=+i,l=!!l;var c=(a=+a)*Math.cos(o),u=a*Math.sin(o),f=t+c,h=i+u,p=1^l,d=l?o-s:s-o;if(a<0)throw new Error(\"negative radius: \"+a);null===this._x1?this._+=\"M\"+f+\",\"+h:(Math.abs(this._x1-f)>1e-6||Math.abs(this._y1-h)>1e-6)&&(this._+=\"L\"+f+\",\"+h),a&&(d<0&&(d=d%r+r),d>n?this._+=\"A\"+a+\",\"+a+\",0,1,\"+p+\",\"+(t-c)+\",\"+(i-u)+\"A\"+a+\",\"+a+\",0,1,\"+p+\",\"+(this._x1=f)+\",\"+(this._y1=h):d>1e-6&&(this._+=\"A\"+a+\",\"+a+\",0,\"+ +(d>=e)+\",\"+p+\",\"+(this._x1=t+a*Math.cos(s))+\",\"+(this._y1=i+a*Math.sin(s))))},rect:function(t,e,r,n){this._+=\"M\"+(this._x0=this._x1=+t)+\",\"+(this._y0=this._y1=+e)+\"h\"+ +r+\"v\"+ +n+\"h\"+-r+\"Z\"},toString:function(){return this._}},t.path=a,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],170:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){\"use strict\";function e(t,e,r,n){if(isNaN(e)||isNaN(r))return t;var i,a,o,s,l,c,u,f,h,p=t._root,d={data:n},m=t._x0,g=t._y0,v=t._x1,y=t._y1;if(!p)return t._root=d,t;for(;p.length;)if((c=e>=(a=(m+v)/2))?m=a:v=a,(u=r>=(o=(g+y)/2))?g=o:y=o,i=p,!(p=p[f=u<<1|c]))return i[f]=d,t;if(s=+t._x.call(null,p.data),l=+t._y.call(null,p.data),e===s&&r===l)return d.next=p,i?i[f]=d:t._root=d,t;do{i=i?i[f]=new Array(4):t._root=new Array(4),(c=e>=(a=(m+v)/2))?m=a:v=a,(u=r>=(o=(g+y)/2))?g=o:y=o}while((f=u<<1|c)==(h=(l>=o)<<1|s>=a));return i[h]=p,i[f]=d,t}function r(t,e,r,n,i){this.node=t,this.x0=e,this.y0=r,this.x1=n,this.y1=i}function n(t){return t[0]}function i(t){return t[1]}function a(t,e,r){var a=new o(null==e?n:e,null==r?i:r,NaN,NaN,NaN,NaN);return null==t?a:a.addAll(t)}function o(t,e,r,n,i,a){this._x=t,this._y=e,this._x0=r,this._y0=n,this._x1=i,this._y1=a,this._root=void 0}function s(t){for(var e={data:t.data},r=e;t=t.next;)r=r.next={data:t.data};return e}var l=a.prototype=o.prototype;l.copy=function(){var t,e,r=new o(this._x,this._y,this._x0,this._y0,this._x1,this._y1),n=this._root;if(!n)return r;if(!n.length)return r._root=s(n),r;for(t=[{source:n,target:r._root=new Array(4)}];n=t.pop();)for(var i=0;i<4;++i)(e=n.source[i])&&(e.length?t.push({source:e,target:n.target[i]=new Array(4)}):n.target[i]=s(e));return r},l.add=function(t){var r=+this._x.call(null,t),n=+this._y.call(null,t);return e(this.cover(r,n),r,n,t)},l.addAll=function(t){var r,n,i,a,o=t.length,s=new Array(o),l=new Array(o),c=1/0,u=1/0,f=-1/0,h=-1/0;for(n=0;n<o;++n)isNaN(i=+this._x.call(null,r=t[n]))||isNaN(a=+this._y.call(null,r))||(s[n]=i,l[n]=a,i<c&&(c=i),i>f&&(f=i),a<u&&(u=a),a>h&&(h=a));if(c>f||u>h)return this;for(this.cover(c,u).cover(f,h),n=0;n<o;++n)e(this,s[n],l[n],t[n]);return this},l.cover=function(t,e){if(isNaN(t=+t)||isNaN(e=+e))return this;var r=this._x0,n=this._y0,i=this._x1,a=this._y1;if(isNaN(r))i=(r=Math.floor(t))+1,a=(n=Math.floor(e))+1;else{for(var o,s,l=i-r,c=this._root;r>t||t>=i||n>e||e>=a;)switch(s=(e<n)<<1|t<r,(o=new Array(4))[s]=c,c=o,l*=2,s){case 0:i=r+l,a=n+l;break;case 1:r=i-l,a=n+l;break;case 2:i=r+l,n=a-l;break;case 3:r=i-l,n=a-l}this._root&&this._root.length&&(this._root=c)}return this._x0=r,this._y0=n,this._x1=i,this._y1=a,this},l.data=function(){var t=[];return this.visit((function(e){if(!e.length)do{t.push(e.data)}while(e=e.next)})),t},l.extent=function(t){return arguments.length?this.cover(+t[0][0],+t[0][1]).cover(+t[1][0],+t[1][1]):isNaN(this._x0)?void 0:[[this._x0,this._y0],[this._x1,this._y1]]},l.find=function(t,e,n){var i,a,o,s,l,c,u,f=this._x0,h=this._y0,p=this._x1,d=this._y1,m=[],g=this._root;for(g&&m.push(new r(g,f,h,p,d)),null==n?n=1/0:(f=t-n,h=e-n,p=t+n,d=e+n,n*=n);c=m.pop();)if(!(!(g=c.node)||(a=c.x0)>p||(o=c.y0)>d||(s=c.x1)<f||(l=c.y1)<h))if(g.length){var v=(a+s)/2,y=(o+l)/2;m.push(new r(g[3],v,y,s,l),new r(g[2],a,y,v,l),new r(g[1],v,o,s,y),new r(g[0],a,o,v,y)),(u=(e>=y)<<1|t>=v)&&(c=m[m.length-1],m[m.length-1]=m[m.length-1-u],m[m.length-1-u]=c)}else{var x=t-+this._x.call(null,g.data),b=e-+this._y.call(null,g.data),_=x*x+b*b;if(_<n){var w=Math.sqrt(n=_);f=t-w,h=e-w,p=t+w,d=e+w,i=g.data}}return i},l.remove=function(t){if(isNaN(a=+this._x.call(null,t))||isNaN(o=+this._y.call(null,t)))return this;var e,r,n,i,a,o,s,l,c,u,f,h,p=this._root,d=this._x0,m=this._y0,g=this._x1,v=this._y1;if(!p)return this;if(p.length)for(;;){if((c=a>=(s=(d+g)/2))?d=s:g=s,(u=o>=(l=(m+v)/2))?m=l:v=l,e=p,!(p=p[f=u<<1|c]))return this;if(!p.length)break;(e[f+1&3]||e[f+2&3]||e[f+3&3])&&(r=e,h=f)}for(;p.data!==t;)if(n=p,!(p=p.next))return this;return(i=p.next)&&delete p.next,n?(i?n.next=i:delete n.next,this):e?(i?e[f]=i:delete e[f],(p=e[0]||e[1]||e[2]||e[3])&&p===(e[3]||e[2]||e[1]||e[0])&&!p.length&&(r?r[h]=p:this._root=p),this):(this._root=i,this)},l.removeAll=function(t){for(var e=0,r=t.length;e<r;++e)this.remove(t[e]);return this},l.root=function(){return this._root},l.size=function(){var t=0;return this.visit((function(e){if(!e.length)do{++t}while(e=e.next)})),t},l.visit=function(t){var e,n,i,a,o,s,l=[],c=this._root;for(c&&l.push(new r(c,this._x0,this._y0,this._x1,this._y1));e=l.pop();)if(!t(c=e.node,i=e.x0,a=e.y0,o=e.x1,s=e.y1)&&c.length){var u=(i+o)/2,f=(a+s)/2;(n=c[3])&&l.push(new r(n,u,f,o,s)),(n=c[2])&&l.push(new r(n,i,f,u,s)),(n=c[1])&&l.push(new r(n,u,a,o,f)),(n=c[0])&&l.push(new r(n,i,a,u,f))}return this},l.visitAfter=function(t){var e,n=[],i=[];for(this._root&&n.push(new r(this._root,this._x0,this._y0,this._x1,this._y1));e=n.pop();){var a=e.node;if(a.length){var o,s=e.x0,l=e.y0,c=e.x1,u=e.y1,f=(s+c)/2,h=(l+u)/2;(o=a[0])&&n.push(new r(o,s,l,f,h)),(o=a[1])&&n.push(new r(o,f,l,c,h)),(o=a[2])&&n.push(new r(o,s,h,f,u)),(o=a[3])&&n.push(new r(o,f,h,c,u))}i.push(e)}for(;e=i.pop();)t(e.node,e.x0,e.y0,e.x1,e.y1);return this},l.x=function(t){return arguments.length?(this._x=t,this):this._x},l.y=function(t){return arguments.length?(this._y=t,this):this._y},t.quadtree=a,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],171:[function(t,e,r){!function(n,i){\"object\"==typeof r&&void 0!==e?i(r,t(\"d3-path\")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){\"use strict\";function r(t){return function(){return t}}var n=Math.abs,i=Math.atan2,a=Math.cos,o=Math.max,s=Math.min,l=Math.sin,c=Math.sqrt,u=Math.PI,f=u/2,h=2*u;function p(t){return t>1?0:t<-1?u:Math.acos(t)}function d(t){return t>=1?f:t<=-1?-f:Math.asin(t)}function m(t){return t.innerRadius}function g(t){return t.outerRadius}function v(t){return t.startAngle}function y(t){return t.endAngle}function x(t){return t&&t.padAngle}function b(t,e,r,n,i,a,o,s){var l=r-t,c=n-e,u=o-i,f=s-a,h=f*l-u*c;if(!(h*h<1e-12))return[t+(h=(u*(e-a)-f*(t-i))/h)*l,e+h*c]}function _(t,e,r,n,i,a,s){var l=t-r,u=e-n,f=(s?a:-a)/c(l*l+u*u),h=f*u,p=-f*l,d=t+h,m=e+p,g=r+h,v=n+p,y=(d+g)/2,x=(m+v)/2,b=g-d,_=v-m,w=b*b+_*_,T=i-a,k=d*v-g*m,M=(_<0?-1:1)*c(o(0,T*T*w-k*k)),A=(k*_-b*M)/w,S=(-k*b-_*M)/w,E=(k*_+b*M)/w,L=(-k*b+_*M)/w,C=A-y,P=S-x,I=E-y,O=L-x;return C*C+P*P>I*I+O*O&&(A=E,S=L),{cx:A,cy:S,x01:-h,y01:-p,x11:A*(i/T-1),y11:S*(i/T-1)}}function w(t){this._context=t}function T(t){return new w(t)}function k(t){return t[0]}function M(t){return t[1]}function A(){var t=k,n=M,i=r(!0),a=null,o=T,s=null;function l(r){var l,c,u,f=r.length,h=!1;for(null==a&&(s=o(u=e.path())),l=0;l<=f;++l)!(l<f&&i(c=r[l],l,r))===h&&((h=!h)?s.lineStart():s.lineEnd()),h&&s.point(+t(c,l,r),+n(c,l,r));if(u)return s=null,u+\"\"||null}return l.x=function(e){return arguments.length?(t=\"function\"==typeof e?e:r(+e),l):t},l.y=function(t){return arguments.length?(n=\"function\"==typeof t?t:r(+t),l):n},l.defined=function(t){return arguments.length?(i=\"function\"==typeof t?t:r(!!t),l):i},l.curve=function(t){return arguments.length?(o=t,null!=a&&(s=o(a)),l):o},l.context=function(t){return arguments.length?(null==t?a=s=null:s=o(a=t),l):a},l}function S(){var t=k,n=null,i=r(0),a=M,o=r(!0),s=null,l=T,c=null;function u(r){var u,f,h,p,d,m=r.length,g=!1,v=new Array(m),y=new Array(m);for(null==s&&(c=l(d=e.path())),u=0;u<=m;++u){if(!(u<m&&o(p=r[u],u,r))===g)if(g=!g)f=u,c.areaStart(),c.lineStart();else{for(c.lineEnd(),c.lineStart(),h=u-1;h>=f;--h)c.point(v[h],y[h]);c.lineEnd(),c.areaEnd()}g&&(v[u]=+t(p,u,r),y[u]=+i(p,u,r),c.point(n?+n(p,u,r):v[u],a?+a(p,u,r):y[u]))}if(d)return c=null,d+\"\"||null}function f(){return A().defined(o).curve(l).context(s)}return u.x=function(e){return arguments.length?(t=\"function\"==typeof e?e:r(+e),n=null,u):t},u.x0=function(e){return arguments.length?(t=\"function\"==typeof e?e:r(+e),u):t},u.x1=function(t){return arguments.length?(n=null==t?null:\"function\"==typeof t?t:r(+t),u):n},u.y=function(t){return arguments.length?(i=\"function\"==typeof t?t:r(+t),a=null,u):i},u.y0=function(t){return arguments.length?(i=\"function\"==typeof t?t:r(+t),u):i},u.y1=function(t){return arguments.length?(a=null==t?null:\"function\"==typeof t?t:r(+t),u):a},u.lineX0=u.lineY0=function(){return f().x(t).y(i)},u.lineY1=function(){return f().x(t).y(a)},u.lineX1=function(){return f().x(n).y(i)},u.defined=function(t){return arguments.length?(o=\"function\"==typeof t?t:r(!!t),u):o},u.curve=function(t){return arguments.length?(l=t,null!=s&&(c=l(s)),u):l},u.context=function(t){return arguments.length?(null==t?s=c=null:c=l(s=t),u):s},u}function E(t,e){return e<t?-1:e>t?1:e>=t?0:NaN}function L(t){return t}w.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._point=0},lineEnd:function(){(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;default:this._context.lineTo(t,e)}}};var C=I(T);function P(t){this._curve=t}function I(t){function e(e){return new P(t(e))}return e._curve=t,e}function O(t){var e=t.curve;return t.angle=t.x,delete t.x,t.radius=t.y,delete t.y,t.curve=function(t){return arguments.length?e(I(t)):e()._curve},t}function z(){return O(A().curve(C))}function D(){var t=S().curve(C),e=t.curve,r=t.lineX0,n=t.lineX1,i=t.lineY0,a=t.lineY1;return t.angle=t.x,delete t.x,t.startAngle=t.x0,delete t.x0,t.endAngle=t.x1,delete t.x1,t.radius=t.y,delete t.y,t.innerRadius=t.y0,delete t.y0,t.outerRadius=t.y1,delete t.y1,t.lineStartAngle=function(){return O(r())},delete t.lineX0,t.lineEndAngle=function(){return O(n())},delete t.lineX1,t.lineInnerRadius=function(){return O(i())},delete t.lineY0,t.lineOuterRadius=function(){return O(a())},delete t.lineY1,t.curve=function(t){return arguments.length?e(I(t)):e()._curve},t}function R(t,e){return[(e=+e)*Math.cos(t-=Math.PI/2),e*Math.sin(t)]}P.prototype={areaStart:function(){this._curve.areaStart()},areaEnd:function(){this._curve.areaEnd()},lineStart:function(){this._curve.lineStart()},lineEnd:function(){this._curve.lineEnd()},point:function(t,e){this._curve.point(e*Math.sin(t),e*-Math.cos(t))}};var F=Array.prototype.slice;function B(t){return t.source}function N(t){return t.target}function j(t){var n=B,i=N,a=k,o=M,s=null;function l(){var r,l=F.call(arguments),c=n.apply(this,l),u=i.apply(this,l);if(s||(s=r=e.path()),t(s,+a.apply(this,(l[0]=c,l)),+o.apply(this,l),+a.apply(this,(l[0]=u,l)),+o.apply(this,l)),r)return s=null,r+\"\"||null}return l.source=function(t){return arguments.length?(n=t,l):n},l.target=function(t){return arguments.length?(i=t,l):i},l.x=function(t){return arguments.length?(a=\"function\"==typeof t?t:r(+t),l):a},l.y=function(t){return arguments.length?(o=\"function\"==typeof t?t:r(+t),l):o},l.context=function(t){return arguments.length?(s=null==t?null:t,l):s},l}function U(t,e,r,n,i){t.moveTo(e,r),t.bezierCurveTo(e=(e+n)/2,r,e,i,n,i)}function V(t,e,r,n,i){t.moveTo(e,r),t.bezierCurveTo(e,r=(r+i)/2,n,r,n,i)}function q(t,e,r,n,i){var a=R(e,r),o=R(e,r=(r+i)/2),s=R(n,r),l=R(n,i);t.moveTo(a[0],a[1]),t.bezierCurveTo(o[0],o[1],s[0],s[1],l[0],l[1])}var H={draw:function(t,e){var r=Math.sqrt(e/u);t.moveTo(r,0),t.arc(0,0,r,0,h)}},G={draw:function(t,e){var r=Math.sqrt(e/5)/2;t.moveTo(-3*r,-r),t.lineTo(-r,-r),t.lineTo(-r,-3*r),t.lineTo(r,-3*r),t.lineTo(r,-r),t.lineTo(3*r,-r),t.lineTo(3*r,r),t.lineTo(r,r),t.lineTo(r,3*r),t.lineTo(-r,3*r),t.lineTo(-r,r),t.lineTo(-3*r,r),t.closePath()}},Y=Math.sqrt(1/3),W=2*Y,X={draw:function(t,e){var r=Math.sqrt(e/W),n=r*Y;t.moveTo(0,-r),t.lineTo(n,0),t.lineTo(0,r),t.lineTo(-n,0),t.closePath()}},Z=Math.sin(u/10)/Math.sin(7*u/10),J=Math.sin(h/10)*Z,K=-Math.cos(h/10)*Z,Q={draw:function(t,e){var r=Math.sqrt(.8908130915292852*e),n=J*r,i=K*r;t.moveTo(0,-r),t.lineTo(n,i);for(var a=1;a<5;++a){var o=h*a/5,s=Math.cos(o),l=Math.sin(o);t.lineTo(l*r,-s*r),t.lineTo(s*n-l*i,l*n+s*i)}t.closePath()}},$={draw:function(t,e){var r=Math.sqrt(e),n=-r/2;t.rect(n,n,r,r)}},tt=Math.sqrt(3),et={draw:function(t,e){var r=-Math.sqrt(e/(3*tt));t.moveTo(0,2*r),t.lineTo(-tt*r,-r),t.lineTo(tt*r,-r),t.closePath()}},rt=-.5,nt=Math.sqrt(3)/2,it=1/Math.sqrt(12),at=3*(it/2+1),ot={draw:function(t,e){var r=Math.sqrt(e/at),n=r/2,i=r*it,a=n,o=r*it+r,s=-a,l=o;t.moveTo(n,i),t.lineTo(a,o),t.lineTo(s,l),t.lineTo(rt*n-nt*i,nt*n+rt*i),t.lineTo(rt*a-nt*o,nt*a+rt*o),t.lineTo(rt*s-nt*l,nt*s+rt*l),t.lineTo(rt*n+nt*i,rt*i-nt*n),t.lineTo(rt*a+nt*o,rt*o-nt*a),t.lineTo(rt*s+nt*l,rt*l-nt*s),t.closePath()}},st=[H,G,X,$,Q,et,ot];function lt(){}function ct(t,e,r){t._context.bezierCurveTo((2*t._x0+t._x1)/3,(2*t._y0+t._y1)/3,(t._x0+2*t._x1)/3,(t._y0+2*t._y1)/3,(t._x0+4*t._x1+e)/6,(t._y0+4*t._y1+r)/6)}function ut(t){this._context=t}function ft(t){this._context=t}function ht(t){this._context=t}function pt(t,e){this._basis=new ut(t),this._beta=e}ut.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){switch(this._point){case 3:ct(this,this._x1,this._y1);case 2:this._context.lineTo(this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3,this._context.lineTo((5*this._x0+this._x1)/6,(5*this._y0+this._y1)/6);default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ft.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._y0=this._y1=this._y2=this._y3=this._y4=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x2,this._y2),this._context.closePath();break;case 2:this._context.moveTo((this._x2+2*this._x3)/3,(this._y2+2*this._y3)/3),this._context.lineTo((this._x3+2*this._x2)/3,(this._y3+2*this._y2)/3),this._context.closePath();break;case 3:this.point(this._x2,this._y2),this.point(this._x3,this._y3),this.point(this._x4,this._y4)}},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._x2=t,this._y2=e;break;case 1:this._point=2,this._x3=t,this._y3=e;break;case 2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ht.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var n,i=t[0],a=e[0],o=t[r]-i,s=e[r]-a,l=-1;++l<=r;)n=l/r,this._basis.point(this._beta*t[l]+(1-this._beta)*(i+n*o),this._beta*e[l]+(1-this._beta)*(a+n*s));this._x=this._y=null,this._basis.lineEnd()},point:function(t,e){this._x.push(+t),this._y.push(+e)}};var dt=function t(e){function r(t){return 1===e?new ut(t):new pt(t,e)}return r.beta=function(e){return t(+e)},r}(.85);function mt(t,e,r){t._context.bezierCurveTo(t._x1+t._k*(t._x2-t._x0),t._y1+t._k*(t._y2-t._y0),t._x2+t._k*(t._x1-e),t._y2+t._k*(t._y1-r),t._x2,t._y2)}function gt(t,e){this._context=t,this._k=(1-e)/6}gt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:mt(this,this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2,this._x1=t,this._y1=e;break;case 2:this._point=3;default:mt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var vt=function t(e){function r(t){return new gt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function yt(t,e){this._context=t,this._k=(1-e)/6}yt.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:mt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var xt=function t(e){function r(t){return new yt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function bt(t,e){this._context=t,this._k=(1-e)/6}bt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:mt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var _t=function t(e){function r(t){return new bt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function wt(t,e,r){var n=t._x1,i=t._y1,a=t._x2,o=t._y2;if(t._l01_a>1e-12){var s=2*t._l01_2a+3*t._l01_a*t._l12_a+t._l12_2a,l=3*t._l01_a*(t._l01_a+t._l12_a);n=(n*s-t._x0*t._l12_2a+t._x2*t._l01_2a)/l,i=(i*s-t._y0*t._l12_2a+t._y2*t._l01_2a)/l}if(t._l23_a>1e-12){var c=2*t._l23_2a+3*t._l23_a*t._l12_a+t._l12_2a,u=3*t._l23_a*(t._l23_a+t._l12_a);a=(a*c+t._x1*t._l23_2a-e*t._l12_2a)/u,o=(o*c+t._y1*t._l23_2a-r*t._l12_2a)/u}t._context.bezierCurveTo(n,i,a,o,t._x2,t._y2)}function Tt(t,e){this._context=t,this._alpha=e}Tt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:this.point(this._x2,this._y2)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var kt=function t(e){function r(t){return e?new Tt(t,e):new gt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function Mt(t,e){this._context=t,this._alpha=e}Mt.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var At=function t(e){function r(t){return e?new Mt(t,e):new yt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function St(t,e){this._context=t,this._alpha=e}St.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var Et=function t(e){function r(t){return e?new St(t,e):new bt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function Lt(t){this._context=t}function Ct(t){return t<0?-1:1}function Pt(t,e,r){var n=t._x1-t._x0,i=e-t._x1,a=(t._y1-t._y0)/(n||i<0&&-0),o=(r-t._y1)/(i||n<0&&-0),s=(a*i+o*n)/(n+i);return(Ct(a)+Ct(o))*Math.min(Math.abs(a),Math.abs(o),.5*Math.abs(s))||0}function It(t,e){var r=t._x1-t._x0;return r?(3*(t._y1-t._y0)/r-e)/2:e}function Ot(t,e,r){var n=t._x0,i=t._y0,a=t._x1,o=t._y1,s=(a-n)/3;t._context.bezierCurveTo(n+s,i+s*e,a-s,o-s*r,a,o)}function zt(t){this._context=t}function Dt(t){this._context=new Rt(t)}function Rt(t){this._context=t}function Ft(t){this._context=t}function Bt(t){var e,r,n=t.length-1,i=new Array(n),a=new Array(n),o=new Array(n);for(i[0]=0,a[0]=2,o[0]=t[0]+2*t[1],e=1;e<n-1;++e)i[e]=1,a[e]=4,o[e]=4*t[e]+2*t[e+1];for(i[n-1]=2,a[n-1]=7,o[n-1]=8*t[n-1]+t[n],e=1;e<n;++e)r=i[e]/a[e-1],a[e]-=r,o[e]-=r*o[e-1];for(i[n-1]=o[n-1]/a[n-1],e=n-2;e>=0;--e)i[e]=(o[e]-i[e+1])/a[e];for(a[n-1]=(t[n]+i[n-1])/2,e=0;e<n-1;++e)a[e]=2*t[e+1]-i[e+1];return[i,a]}function Nt(t,e){this._context=t,this._t=e}function jt(t,e){if((i=t.length)>1)for(var r,n,i,a=1,o=t[e[0]],s=o.length;a<i;++a)for(n=o,o=t[e[a]],r=0;r<s;++r)o[r][1]+=o[r][0]=isNaN(n[r][1])?n[r][0]:n[r][1]}function Ut(t){for(var e=t.length,r=new Array(e);--e>=0;)r[e]=e;return r}function Vt(t,e){return t[e]}function qt(t){var e=t.map(Ht);return Ut(t).sort((function(t,r){return e[t]-e[r]}))}function Ht(t){for(var e,r=-1,n=0,i=t.length,a=-1/0;++r<i;)(e=+t[r][1])>a&&(a=e,n=r);return n}function Gt(t){var e=t.map(Yt);return Ut(t).sort((function(t,r){return e[t]-e[r]}))}function Yt(t){for(var e,r=0,n=-1,i=t.length;++n<i;)(e=+t[n][1])&&(r+=e);return r}Lt.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._point=0},lineEnd:function(){this._point&&this._context.closePath()},point:function(t,e){t=+t,e=+e,this._point?this._context.lineTo(t,e):(this._point=1,this._context.moveTo(t,e))}},zt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=this._t0=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x1,this._y1);break;case 3:Ot(this,this._t0,It(this,this._t0))}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){var r=NaN;if(e=+e,(t=+t)!==this._x1||e!==this._y1){switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3,Ot(this,It(this,r=Pt(this,t,e)),r);break;default:Ot(this,this._t0,r=Pt(this,t,e))}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e,this._t0=r}}},(Dt.prototype=Object.create(zt.prototype)).point=function(t,e){zt.prototype.point.call(this,e,t)},Rt.prototype={moveTo:function(t,e){this._context.moveTo(e,t)},closePath:function(){this._context.closePath()},lineTo:function(t,e){this._context.lineTo(e,t)},bezierCurveTo:function(t,e,r,n,i,a){this._context.bezierCurveTo(e,t,n,r,a,i)}},Ft.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=[],this._y=[]},lineEnd:function(){var t=this._x,e=this._y,r=t.length;if(r)if(this._line?this._context.lineTo(t[0],e[0]):this._context.moveTo(t[0],e[0]),2===r)this._context.lineTo(t[1],e[1]);else for(var n=Bt(t),i=Bt(e),a=0,o=1;o<r;++a,++o)this._context.bezierCurveTo(n[0][a],i[0][a],n[1][a],i[1][a],t[o],e[o]);(this._line||0!==this._line&&1===r)&&this._context.closePath(),this._line=1-this._line,this._x=this._y=null},point:function(t,e){this._x.push(+t),this._y.push(+e)}},Nt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=this._y=NaN,this._point=0},lineEnd:function(){0<this._t&&this._t<1&&2===this._point&&this._context.lineTo(this._x,this._y),(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line>=0&&(this._t=1-this._t,this._line=1-this._line)},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;default:if(this._t<=0)this._context.lineTo(this._x,e),this._context.lineTo(t,e);else{var r=this._x*(1-this._t)+t*this._t;this._context.lineTo(r,this._y),this._context.lineTo(r,e)}}this._x=t,this._y=e}},t.arc=function(){var t=m,o=g,w=r(0),T=null,k=v,M=y,A=x,S=null;function E(){var r,m,g=+t.apply(this,arguments),v=+o.apply(this,arguments),y=k.apply(this,arguments)-f,x=M.apply(this,arguments)-f,E=n(x-y),L=x>y;if(S||(S=r=e.path()),v<g&&(m=v,v=g,g=m),v>1e-12)if(E>h-1e-12)S.moveTo(v*a(y),v*l(y)),S.arc(0,0,v,y,x,!L),g>1e-12&&(S.moveTo(g*a(x),g*l(x)),S.arc(0,0,g,x,y,L));else{var C,P,I=y,O=x,z=y,D=x,R=E,F=E,B=A.apply(this,arguments)/2,N=B>1e-12&&(T?+T.apply(this,arguments):c(g*g+v*v)),j=s(n(v-g)/2,+w.apply(this,arguments)),U=j,V=j;if(N>1e-12){var q=d(N/g*l(B)),H=d(N/v*l(B));(R-=2*q)>1e-12?(z+=q*=L?1:-1,D-=q):(R=0,z=D=(y+x)/2),(F-=2*H)>1e-12?(I+=H*=L?1:-1,O-=H):(F=0,I=O=(y+x)/2)}var G=v*a(I),Y=v*l(I),W=g*a(D),X=g*l(D);if(j>1e-12){var Z,J=v*a(O),K=v*l(O),Q=g*a(z),$=g*l(z);if(E<u&&(Z=b(G,Y,Q,$,J,K,W,X))){var tt=G-Z[0],et=Y-Z[1],rt=J-Z[0],nt=K-Z[1],it=1/l(p((tt*rt+et*nt)/(c(tt*tt+et*et)*c(rt*rt+nt*nt)))/2),at=c(Z[0]*Z[0]+Z[1]*Z[1]);U=s(j,(g-at)/(it-1)),V=s(j,(v-at)/(it+1))}}F>1e-12?V>1e-12?(C=_(Q,$,G,Y,v,V,L),P=_(J,K,W,X,v,V,L),S.moveTo(C.cx+C.x01,C.cy+C.y01),V<j?S.arc(C.cx,C.cy,V,i(C.y01,C.x01),i(P.y01,P.x01),!L):(S.arc(C.cx,C.cy,V,i(C.y01,C.x01),i(C.y11,C.x11),!L),S.arc(0,0,v,i(C.cy+C.y11,C.cx+C.x11),i(P.cy+P.y11,P.cx+P.x11),!L),S.arc(P.cx,P.cy,V,i(P.y11,P.x11),i(P.y01,P.x01),!L))):(S.moveTo(G,Y),S.arc(0,0,v,I,O,!L)):S.moveTo(G,Y),g>1e-12&&R>1e-12?U>1e-12?(C=_(W,X,J,K,g,-U,L),P=_(G,Y,Q,$,g,-U,L),S.lineTo(C.cx+C.x01,C.cy+C.y01),U<j?S.arc(C.cx,C.cy,U,i(C.y01,C.x01),i(P.y01,P.x01),!L):(S.arc(C.cx,C.cy,U,i(C.y01,C.x01),i(C.y11,C.x11),!L),S.arc(0,0,g,i(C.cy+C.y11,C.cx+C.x11),i(P.cy+P.y11,P.cx+P.x11),L),S.arc(P.cx,P.cy,U,i(P.y11,P.x11),i(P.y01,P.x01),!L))):S.arc(0,0,g,D,z,L):S.lineTo(W,X)}else S.moveTo(0,0);if(S.closePath(),r)return S=null,r+\"\"||null}return E.centroid=function(){var e=(+t.apply(this,arguments)+ +o.apply(this,arguments))/2,r=(+k.apply(this,arguments)+ +M.apply(this,arguments))/2-u/2;return[a(r)*e,l(r)*e]},E.innerRadius=function(e){return arguments.length?(t=\"function\"==typeof e?e:r(+e),E):t},E.outerRadius=function(t){return arguments.length?(o=\"function\"==typeof t?t:r(+t),E):o},E.cornerRadius=function(t){return arguments.length?(w=\"function\"==typeof t?t:r(+t),E):w},E.padRadius=function(t){return arguments.length?(T=null==t?null:\"function\"==typeof t?t:r(+t),E):T},E.startAngle=function(t){return arguments.length?(k=\"function\"==typeof t?t:r(+t),E):k},E.endAngle=function(t){return arguments.length?(M=\"function\"==typeof t?t:r(+t),E):M},E.padAngle=function(t){return arguments.length?(A=\"function\"==typeof t?t:r(+t),E):A},E.context=function(t){return arguments.length?(S=null==t?null:t,E):S},E},t.area=S,t.areaRadial=D,t.curveBasis=function(t){return new ut(t)},t.curveBasisClosed=function(t){return new ft(t)},t.curveBasisOpen=function(t){return new ht(t)},t.curveBundle=dt,t.curveCardinal=vt,t.curveCardinalClosed=xt,t.curveCardinalOpen=_t,t.curveCatmullRom=kt,t.curveCatmullRomClosed=At,t.curveCatmullRomOpen=Et,t.curveLinear=T,t.curveLinearClosed=function(t){return new Lt(t)},t.curveMonotoneX=function(t){return new zt(t)},t.curveMonotoneY=function(t){return new Dt(t)},t.curveNatural=function(t){return new Ft(t)},t.curveStep=function(t){return new Nt(t,.5)},t.curveStepAfter=function(t){return new Nt(t,1)},t.curveStepBefore=function(t){return new Nt(t,0)},t.line=A,t.lineRadial=z,t.linkHorizontal=function(){return j(U)},t.linkRadial=function(){var t=j(q);return t.angle=t.x,delete t.x,t.radius=t.y,delete t.y,t},t.linkVertical=function(){return j(V)},t.pie=function(){var t=L,e=E,n=null,i=r(0),a=r(h),o=r(0);function s(r){var s,l,c,u,f,p=r.length,d=0,m=new Array(p),g=new Array(p),v=+i.apply(this,arguments),y=Math.min(h,Math.max(-h,a.apply(this,arguments)-v)),x=Math.min(Math.abs(y)/p,o.apply(this,arguments)),b=x*(y<0?-1:1);for(s=0;s<p;++s)(f=g[m[s]=s]=+t(r[s],s,r))>0&&(d+=f);for(null!=e?m.sort((function(t,r){return e(g[t],g[r])})):null!=n&&m.sort((function(t,e){return n(r[t],r[e])})),s=0,c=d?(y-p*b)/d:0;s<p;++s,v=u)l=m[s],u=v+((f=g[l])>0?f*c:0)+b,g[l]={data:r[l],index:s,value:f,startAngle:v,endAngle:u,padAngle:x};return g}return s.value=function(e){return arguments.length?(t=\"function\"==typeof e?e:r(+e),s):t},s.sortValues=function(t){return arguments.length?(e=t,n=null,s):e},s.sort=function(t){return arguments.length?(n=t,e=null,s):n},s.startAngle=function(t){return arguments.length?(i=\"function\"==typeof t?t:r(+t),s):i},s.endAngle=function(t){return arguments.length?(a=\"function\"==typeof t?t:r(+t),s):a},s.padAngle=function(t){return arguments.length?(o=\"function\"==typeof t?t:r(+t),s):o},s},t.pointRadial=R,t.radialArea=D,t.radialLine=z,t.stack=function(){var t=r([]),e=Ut,n=jt,i=Vt;function a(r){var a,o,s=t.apply(this,arguments),l=r.length,c=s.length,u=new Array(c);for(a=0;a<c;++a){for(var f,h=s[a],p=u[a]=new Array(l),d=0;d<l;++d)p[d]=f=[0,+i(r[d],h,d,r)],f.data=r[d];p.key=h}for(a=0,o=e(u);a<c;++a)u[o[a]].index=a;return n(u,o),u}return a.keys=function(e){return arguments.length?(t=\"function\"==typeof e?e:r(F.call(e)),a):t},a.value=function(t){return arguments.length?(i=\"function\"==typeof t?t:r(+t),a):i},a.order=function(t){return arguments.length?(e=null==t?Ut:\"function\"==typeof t?t:r(F.call(t)),a):e},a.offset=function(t){return arguments.length?(n=null==t?jt:t,a):n},a},t.stackOffsetDiverging=function(t,e){if((s=t.length)>0)for(var r,n,i,a,o,s,l=0,c=t[e[0]].length;l<c;++l)for(a=o=0,r=0;r<s;++r)(i=(n=t[e[r]][l])[1]-n[0])>0?(n[0]=a,n[1]=a+=i):i<0?(n[1]=o,n[0]=o+=i):(n[0]=0,n[1]=i)},t.stackOffsetExpand=function(t,e){if((n=t.length)>0){for(var r,n,i,a=0,o=t[0].length;a<o;++a){for(i=r=0;r<n;++r)i+=t[r][a][1]||0;if(i)for(r=0;r<n;++r)t[r][a][1]/=i}jt(t,e)}},t.stackOffsetNone=jt,t.stackOffsetSilhouette=function(t,e){if((r=t.length)>0){for(var r,n=0,i=t[e[0]],a=i.length;n<a;++n){for(var o=0,s=0;o<r;++o)s+=t[o][n][1]||0;i[n][1]+=i[n][0]=-s/2}jt(t,e)}},t.stackOffsetWiggle=function(t,e){if((i=t.length)>0&&(n=(r=t[e[0]]).length)>0){for(var r,n,i,a=0,o=1;o<n;++o){for(var s=0,l=0,c=0;s<i;++s){for(var u=t[e[s]],f=u[o][1]||0,h=(f-(u[o-1][1]||0))/2,p=0;p<s;++p){var d=t[e[p]];h+=(d[o][1]||0)-(d[o-1][1]||0)}l+=f,c+=h*f}r[o-1][1]+=r[o-1][0]=a,l&&(a-=c/l)}r[o-1][1]+=r[o-1][0]=a,jt(t,e)}},t.stackOrderAppearance=qt,t.stackOrderAscending=Gt,t.stackOrderDescending=function(t){return Gt(t).reverse()},t.stackOrderInsideOut=function(t){var e,r,n=t.length,i=t.map(Yt),a=qt(t),o=0,s=0,l=[],c=[];for(e=0;e<n;++e)r=a[e],o<s?(o+=i[r],l.push(r)):(s+=i[r],c.push(r));return c.reverse().concat(l)},t.stackOrderNone=Ut,t.stackOrderReverse=function(t){return Ut(t).reverse()},t.symbol=function(){var t=r(H),n=r(64),i=null;function a(){var r;if(i||(i=r=e.path()),t.apply(this,arguments).draw(i,+n.apply(this,arguments)),r)return i=null,r+\"\"||null}return a.type=function(e){return arguments.length?(t=\"function\"==typeof e?e:r(e),a):t},a.size=function(t){return arguments.length?(n=\"function\"==typeof t?t:r(+t),a):n},a.context=function(t){return arguments.length?(i=null==t?null:t,a):i},a},t.symbolCircle=H,t.symbolCross=G,t.symbolDiamond=X,t.symbolSquare=$,t.symbolStar=Q,t.symbolTriangle=et,t.symbolWye=ot,t.symbols=st,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{\"d3-path\":169}],172:[function(t,e,r){!function(n,i){\"object\"==typeof r&&void 0!==e?i(r,t(\"d3-time\")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){\"use strict\";function r(t){if(0<=t.y&&t.y<100){var e=new Date(-1,t.m,t.d,t.H,t.M,t.S,t.L);return e.setFullYear(t.y),e}return new Date(t.y,t.m,t.d,t.H,t.M,t.S,t.L)}function n(t){if(0<=t.y&&t.y<100){var e=new Date(Date.UTC(-1,t.m,t.d,t.H,t.M,t.S,t.L));return e.setUTCFullYear(t.y),e}return new Date(Date.UTC(t.y,t.m,t.d,t.H,t.M,t.S,t.L))}function i(t,e,r){return{y:t,m:e,d:r,H:0,M:0,S:0,L:0}}function a(t){var a=t.dateTime,o=t.date,l=t.time,c=t.periods,u=t.days,f=t.shortDays,h=t.months,yt=t.shortMonths,xt=p(c),bt=d(c),_t=p(u),wt=d(u),Tt=p(f),kt=d(f),Mt=p(h),At=d(h),St=p(yt),Et=d(yt),Lt={a:function(t){return f[t.getDay()]},A:function(t){return u[t.getDay()]},b:function(t){return yt[t.getMonth()]},B:function(t){return h[t.getMonth()]},c:null,d:D,e:D,f:j,H:R,I:F,j:B,L:N,m:U,M:V,p:function(t){return c[+(t.getHours()>=12)]},q:function(t){return 1+~~(t.getMonth()/3)},Q:gt,s:vt,S:q,u:H,U:G,V:Y,w:W,W:X,x:null,X:null,y:Z,Y:J,Z:K,\"%\":mt},Ct={a:function(t){return f[t.getUTCDay()]},A:function(t){return u[t.getUTCDay()]},b:function(t){return yt[t.getUTCMonth()]},B:function(t){return h[t.getUTCMonth()]},c:null,d:Q,e:Q,f:nt,H:$,I:tt,j:et,L:rt,m:it,M:at,p:function(t){return c[+(t.getUTCHours()>=12)]},q:function(t){return 1+~~(t.getUTCMonth()/3)},Q:gt,s:vt,S:ot,u:st,U:lt,V:ct,w:ut,W:ft,x:null,X:null,y:ht,Y:pt,Z:dt,\"%\":mt},Pt={a:function(t,e,r){var n=Tt.exec(e.slice(r));return n?(t.w=kt[n[0].toLowerCase()],r+n[0].length):-1},A:function(t,e,r){var n=_t.exec(e.slice(r));return n?(t.w=wt[n[0].toLowerCase()],r+n[0].length):-1},b:function(t,e,r){var n=St.exec(e.slice(r));return n?(t.m=Et[n[0].toLowerCase()],r+n[0].length):-1},B:function(t,e,r){var n=Mt.exec(e.slice(r));return n?(t.m=At[n[0].toLowerCase()],r+n[0].length):-1},c:function(t,e,r){return zt(t,a,e,r)},d:M,e:M,f:P,H:S,I:S,j:A,L:C,m:k,M:E,p:function(t,e,r){var n=xt.exec(e.slice(r));return n?(t.p=bt[n[0].toLowerCase()],r+n[0].length):-1},q:T,Q:O,s:z,S:L,u:g,U:v,V:y,w:m,W:x,x:function(t,e,r){return zt(t,o,e,r)},X:function(t,e,r){return zt(t,l,e,r)},y:_,Y:b,Z:w,\"%\":I};function It(t,e){return function(r){var n,i,a,o=[],l=-1,c=0,u=t.length;for(r instanceof Date||(r=new Date(+r));++l<u;)37===t.charCodeAt(l)&&(o.push(t.slice(c,l)),null!=(i=s[n=t.charAt(++l)])?n=t.charAt(++l):i=\"e\"===n?\" \":\"0\",(a=e[n])&&(n=a(r,i)),o.push(n),c=l+1);return o.push(t.slice(c,l)),o.join(\"\")}}function Ot(t,a){return function(o){var s,l,c=i(1900,void 0,1);if(zt(c,t,o+=\"\",0)!=o.length)return null;if(\"Q\"in c)return new Date(c.Q);if(\"s\"in c)return new Date(1e3*c.s+(\"L\"in c?c.L:0));if(a&&!(\"Z\"in c)&&(c.Z=0),\"p\"in c&&(c.H=c.H%12+12*c.p),void 0===c.m&&(c.m=\"q\"in c?c.q:0),\"V\"in c){if(c.V<1||c.V>53)return null;\"w\"in c||(c.w=1),\"Z\"in c?(l=(s=n(i(c.y,0,1))).getUTCDay(),s=l>4||0===l?e.utcMonday.ceil(s):e.utcMonday(s),s=e.utcDay.offset(s,7*(c.V-1)),c.y=s.getUTCFullYear(),c.m=s.getUTCMonth(),c.d=s.getUTCDate()+(c.w+6)%7):(l=(s=r(i(c.y,0,1))).getDay(),s=l>4||0===l?e.timeMonday.ceil(s):e.timeMonday(s),s=e.timeDay.offset(s,7*(c.V-1)),c.y=s.getFullYear(),c.m=s.getMonth(),c.d=s.getDate()+(c.w+6)%7)}else(\"W\"in c||\"U\"in c)&&(\"w\"in c||(c.w=\"u\"in c?c.u%7:\"W\"in c?1:0),l=\"Z\"in c?n(i(c.y,0,1)).getUTCDay():r(i(c.y,0,1)).getDay(),c.m=0,c.d=\"W\"in c?(c.w+6)%7+7*c.W-(l+5)%7:c.w+7*c.U-(l+6)%7);return\"Z\"in c?(c.H+=c.Z/100|0,c.M+=c.Z%100,n(c)):r(c)}}function zt(t,e,r,n){for(var i,a,o=0,l=e.length,c=r.length;o<l;){if(n>=c)return-1;if(37===(i=e.charCodeAt(o++))){if(i=e.charAt(o++),!(a=Pt[i in s?e.charAt(o++):i])||(n=a(t,r,n))<0)return-1}else if(i!=r.charCodeAt(n++))return-1}return n}return Lt.x=It(o,Lt),Lt.X=It(l,Lt),Lt.c=It(a,Lt),Ct.x=It(o,Ct),Ct.X=It(l,Ct),Ct.c=It(a,Ct),{format:function(t){var e=It(t+=\"\",Lt);return e.toString=function(){return t},e},parse:function(t){var e=Ot(t+=\"\",!1);return e.toString=function(){return t},e},utcFormat:function(t){var e=It(t+=\"\",Ct);return e.toString=function(){return t},e},utcParse:function(t){var e=Ot(t+=\"\",!0);return e.toString=function(){return t},e}}}var o,s={\"-\":\"\",_:\" \",0:\"0\"},l=/^\\s*\\d+/,c=/^%/,u=/[\\\\^$*+?|[\\]().{}]/g;function f(t,e,r){var n=t<0?\"-\":\"\",i=(n?-t:t)+\"\",a=i.length;return n+(a<r?new Array(r-a+1).join(e)+i:i)}function h(t){return t.replace(u,\"\\\\$&\")}function p(t){return new RegExp(\"^(?:\"+t.map(h).join(\"|\")+\")\",\"i\")}function d(t){for(var e={},r=-1,n=t.length;++r<n;)e[t[r].toLowerCase()]=r;return e}function m(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.w=+n[0],r+n[0].length):-1}function g(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.u=+n[0],r+n[0].length):-1}function v(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.U=+n[0],r+n[0].length):-1}function y(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.V=+n[0],r+n[0].length):-1}function x(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.W=+n[0],r+n[0].length):-1}function b(t,e,r){var n=l.exec(e.slice(r,r+4));return n?(t.y=+n[0],r+n[0].length):-1}function _(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.y=+n[0]+(+n[0]>68?1900:2e3),r+n[0].length):-1}function w(t,e,r){var n=/^(Z)|([+-]\\d\\d)(?::?(\\d\\d))?/.exec(e.slice(r,r+6));return n?(t.Z=n[1]?0:-(n[2]+(n[3]||\"00\")),r+n[0].length):-1}function T(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.q=3*n[0]-3,r+n[0].length):-1}function k(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.m=n[0]-1,r+n[0].length):-1}function M(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.d=+n[0],r+n[0].length):-1}function A(t,e,r){var n=l.exec(e.slice(r,r+3));return n?(t.m=0,t.d=+n[0],r+n[0].length):-1}function S(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.H=+n[0],r+n[0].length):-1}function E(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.M=+n[0],r+n[0].length):-1}function L(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.S=+n[0],r+n[0].length):-1}function C(t,e,r){var n=l.exec(e.slice(r,r+3));return n?(t.L=+n[0],r+n[0].length):-1}function P(t,e,r){var n=l.exec(e.slice(r,r+6));return n?(t.L=Math.floor(n[0]/1e3),r+n[0].length):-1}function I(t,e,r){var n=c.exec(e.slice(r,r+1));return n?r+n[0].length:-1}function O(t,e,r){var n=l.exec(e.slice(r));return n?(t.Q=+n[0],r+n[0].length):-1}function z(t,e,r){var n=l.exec(e.slice(r));return n?(t.s=+n[0],r+n[0].length):-1}function D(t,e){return f(t.getDate(),e,2)}function R(t,e){return f(t.getHours(),e,2)}function F(t,e){return f(t.getHours()%12||12,e,2)}function B(t,r){return f(1+e.timeDay.count(e.timeYear(t),t),r,3)}function N(t,e){return f(t.getMilliseconds(),e,3)}function j(t,e){return N(t,e)+\"000\"}function U(t,e){return f(t.getMonth()+1,e,2)}function V(t,e){return f(t.getMinutes(),e,2)}function q(t,e){return f(t.getSeconds(),e,2)}function H(t){var e=t.getDay();return 0===e?7:e}function G(t,r){return f(e.timeSunday.count(e.timeYear(t)-1,t),r,2)}function Y(t,r){var n=t.getDay();return t=n>=4||0===n?e.timeThursday(t):e.timeThursday.ceil(t),f(e.timeThursday.count(e.timeYear(t),t)+(4===e.timeYear(t).getDay()),r,2)}function W(t){return t.getDay()}function X(t,r){return f(e.timeMonday.count(e.timeYear(t)-1,t),r,2)}function Z(t,e){return f(t.getFullYear()%100,e,2)}function J(t,e){return f(t.getFullYear()%1e4,e,4)}function K(t){var e=t.getTimezoneOffset();return(e>0?\"-\":(e*=-1,\"+\"))+f(e/60|0,\"0\",2)+f(e%60,\"0\",2)}function Q(t,e){return f(t.getUTCDate(),e,2)}function $(t,e){return f(t.getUTCHours(),e,2)}function tt(t,e){return f(t.getUTCHours()%12||12,e,2)}function et(t,r){return f(1+e.utcDay.count(e.utcYear(t),t),r,3)}function rt(t,e){return f(t.getUTCMilliseconds(),e,3)}function nt(t,e){return rt(t,e)+\"000\"}function it(t,e){return f(t.getUTCMonth()+1,e,2)}function at(t,e){return f(t.getUTCMinutes(),e,2)}function ot(t,e){return f(t.getUTCSeconds(),e,2)}function st(t){var e=t.getUTCDay();return 0===e?7:e}function lt(t,r){return f(e.utcSunday.count(e.utcYear(t)-1,t),r,2)}function ct(t,r){var n=t.getUTCDay();return t=n>=4||0===n?e.utcThursday(t):e.utcThursday.ceil(t),f(e.utcThursday.count(e.utcYear(t),t)+(4===e.utcYear(t).getUTCDay()),r,2)}function ut(t){return t.getUTCDay()}function ft(t,r){return f(e.utcMonday.count(e.utcYear(t)-1,t),r,2)}function ht(t,e){return f(t.getUTCFullYear()%100,e,2)}function pt(t,e){return f(t.getUTCFullYear()%1e4,e,4)}function dt(){return\"+0000\"}function mt(){return\"%\"}function gt(t){return+t}function vt(t){return Math.floor(+t/1e3)}function yt(e){return o=a(e),t.timeFormat=o.format,t.timeParse=o.parse,t.utcFormat=o.utcFormat,t.utcParse=o.utcParse,o}yt({dateTime:\"%x, %X\",date:\"%-m/%-d/%Y\",time:\"%-I:%M:%S %p\",periods:[\"AM\",\"PM\"],days:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],shortDays:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],months:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],shortMonths:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"]});var xt=Date.prototype.toISOString?function(t){return t.toISOString()}:t.utcFormat(\"%Y-%m-%dT%H:%M:%S.%LZ\");var bt=+new Date(\"2000-01-01T00:00:00.000Z\")?function(t){var e=new Date(t);return isNaN(e)?null:e}:t.utcParse(\"%Y-%m-%dT%H:%M:%S.%LZ\");t.isoFormat=xt,t.isoParse=bt,t.timeFormatDefaultLocale=yt,t.timeFormatLocale=a,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{\"d3-time\":173}],173:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){\"use strict\";var e=new Date,r=new Date;function n(t,i,a,o){function s(e){return t(e=0===arguments.length?new Date:new Date(+e)),e}return s.floor=function(e){return t(e=new Date(+e)),e},s.ceil=function(e){return t(e=new Date(e-1)),i(e,1),t(e),e},s.round=function(t){var e=s(t),r=s.ceil(t);return t-e<r-t?e:r},s.offset=function(t,e){return i(t=new Date(+t),null==e?1:Math.floor(e)),t},s.range=function(e,r,n){var a,o=[];if(e=s.ceil(e),n=null==n?1:Math.floor(n),!(e<r&&n>0))return o;do{o.push(a=new Date(+e)),i(e,n),t(e)}while(a<e&&e<r);return o},s.filter=function(e){return n((function(r){if(r>=r)for(;t(r),!e(r);)r.setTime(r-1)}),(function(t,r){if(t>=t)if(r<0)for(;++r<=0;)for(;i(t,-1),!e(t););else for(;--r>=0;)for(;i(t,1),!e(t););}))},a&&(s.count=function(n,i){return e.setTime(+n),r.setTime(+i),t(e),t(r),Math.floor(a(e,r))},s.every=function(t){return t=Math.floor(t),isFinite(t)&&t>0?t>1?s.filter(o?function(e){return o(e)%t==0}:function(e){return s.count(0,e)%t==0}):s:null}),s}var i=n((function(){}),(function(t,e){t.setTime(+t+e)}),(function(t,e){return e-t}));i.every=function(t){return t=Math.floor(t),isFinite(t)&&t>0?t>1?n((function(e){e.setTime(Math.floor(e/t)*t)}),(function(e,r){e.setTime(+e+r*t)}),(function(e,r){return(r-e)/t})):i:null};var a=i.range,o=n((function(t){t.setTime(t-t.getMilliseconds())}),(function(t,e){t.setTime(+t+1e3*e)}),(function(t,e){return(e-t)/1e3}),(function(t){return t.getUTCSeconds()})),s=o.range,l=n((function(t){t.setTime(t-t.getMilliseconds()-1e3*t.getSeconds())}),(function(t,e){t.setTime(+t+6e4*e)}),(function(t,e){return(e-t)/6e4}),(function(t){return t.getMinutes()})),c=l.range,u=n((function(t){t.setTime(t-t.getMilliseconds()-1e3*t.getSeconds()-6e4*t.getMinutes())}),(function(t,e){t.setTime(+t+36e5*e)}),(function(t,e){return(e-t)/36e5}),(function(t){return t.getHours()})),f=u.range,h=n((function(t){t.setHours(0,0,0,0)}),(function(t,e){t.setDate(t.getDate()+e)}),(function(t,e){return(e-t-6e4*(e.getTimezoneOffset()-t.getTimezoneOffset()))/864e5}),(function(t){return t.getDate()-1})),p=h.range;function d(t){return n((function(e){e.setDate(e.getDate()-(e.getDay()+7-t)%7),e.setHours(0,0,0,0)}),(function(t,e){t.setDate(t.getDate()+7*e)}),(function(t,e){return(e-t-6e4*(e.getTimezoneOffset()-t.getTimezoneOffset()))/6048e5}))}var m=d(0),g=d(1),v=d(2),y=d(3),x=d(4),b=d(5),_=d(6),w=m.range,T=g.range,k=v.range,M=y.range,A=x.range,S=b.range,E=_.range,L=n((function(t){t.setDate(1),t.setHours(0,0,0,0)}),(function(t,e){t.setMonth(t.getMonth()+e)}),(function(t,e){return e.getMonth()-t.getMonth()+12*(e.getFullYear()-t.getFullYear())}),(function(t){return t.getMonth()})),C=L.range,P=n((function(t){t.setMonth(0,1),t.setHours(0,0,0,0)}),(function(t,e){t.setFullYear(t.getFullYear()+e)}),(function(t,e){return e.getFullYear()-t.getFullYear()}),(function(t){return t.getFullYear()}));P.every=function(t){return isFinite(t=Math.floor(t))&&t>0?n((function(e){e.setFullYear(Math.floor(e.getFullYear()/t)*t),e.setMonth(0,1),e.setHours(0,0,0,0)}),(function(e,r){e.setFullYear(e.getFullYear()+r*t)})):null};var I=P.range,O=n((function(t){t.setUTCSeconds(0,0)}),(function(t,e){t.setTime(+t+6e4*e)}),(function(t,e){return(e-t)/6e4}),(function(t){return t.getUTCMinutes()})),z=O.range,D=n((function(t){t.setUTCMinutes(0,0,0)}),(function(t,e){t.setTime(+t+36e5*e)}),(function(t,e){return(e-t)/36e5}),(function(t){return t.getUTCHours()})),R=D.range,F=n((function(t){t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCDate(t.getUTCDate()+e)}),(function(t,e){return(e-t)/864e5}),(function(t){return t.getUTCDate()-1})),B=F.range;function N(t){return n((function(e){e.setUTCDate(e.getUTCDate()-(e.getUTCDay()+7-t)%7),e.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCDate(t.getUTCDate()+7*e)}),(function(t,e){return(e-t)/6048e5}))}var j=N(0),U=N(1),V=N(2),q=N(3),H=N(4),G=N(5),Y=N(6),W=j.range,X=U.range,Z=V.range,J=q.range,K=H.range,Q=G.range,$=Y.range,tt=n((function(t){t.setUTCDate(1),t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCMonth(t.getUTCMonth()+e)}),(function(t,e){return e.getUTCMonth()-t.getUTCMonth()+12*(e.getUTCFullYear()-t.getUTCFullYear())}),(function(t){return t.getUTCMonth()})),et=tt.range,rt=n((function(t){t.setUTCMonth(0,1),t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCFullYear(t.getUTCFullYear()+e)}),(function(t,e){return e.getUTCFullYear()-t.getUTCFullYear()}),(function(t){return t.getUTCFullYear()}));rt.every=function(t){return isFinite(t=Math.floor(t))&&t>0?n((function(e){e.setUTCFullYear(Math.floor(e.getUTCFullYear()/t)*t),e.setUTCMonth(0,1),e.setUTCHours(0,0,0,0)}),(function(e,r){e.setUTCFullYear(e.getUTCFullYear()+r*t)})):null};var nt=rt.range;t.timeDay=h,t.timeDays=p,t.timeFriday=b,t.timeFridays=S,t.timeHour=u,t.timeHours=f,t.timeInterval=n,t.timeMillisecond=i,t.timeMilliseconds=a,t.timeMinute=l,t.timeMinutes=c,t.timeMonday=g,t.timeMondays=T,t.timeMonth=L,t.timeMonths=C,t.timeSaturday=_,t.timeSaturdays=E,t.timeSecond=o,t.timeSeconds=s,t.timeSunday=m,t.timeSundays=w,t.timeThursday=x,t.timeThursdays=A,t.timeTuesday=v,t.timeTuesdays=k,t.timeWednesday=y,t.timeWednesdays=M,t.timeWeek=m,t.timeWeeks=w,t.timeYear=P,t.timeYears=I,t.utcDay=F,t.utcDays=B,t.utcFriday=G,t.utcFridays=Q,t.utcHour=D,t.utcHours=R,t.utcMillisecond=i,t.utcMilliseconds=a,t.utcMinute=O,t.utcMinutes=z,t.utcMonday=U,t.utcMondays=X,t.utcMonth=tt,t.utcMonths=et,t.utcSaturday=Y,t.utcSaturdays=$,t.utcSecond=o,t.utcSeconds=s,t.utcSunday=j,t.utcSundays=W,t.utcThursday=H,t.utcThursdays=K,t.utcTuesday=V,t.utcTuesdays=Z,t.utcWednesday=q,t.utcWednesdays=J,t.utcWeek=j,t.utcWeeks=W,t.utcYear=rt,t.utcYears=nt,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],174:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){\"use strict\";var e,r,n=0,i=0,a=0,o=0,s=0,l=0,c=\"object\"==typeof performance&&performance.now?performance:Date,u=\"object\"==typeof window&&window.requestAnimationFrame?window.requestAnimationFrame.bind(window):function(t){setTimeout(t,17)};function f(){return s||(u(h),s=c.now()+l)}function h(){s=0}function p(){this._call=this._time=this._next=null}function d(t,e,r){var n=new p;return n.restart(t,e,r),n}function m(){f(),++n;for(var t,r=e;r;)(t=s-r._time)>=0&&r._call.call(null,t),r=r._next;--n}function g(){s=(o=c.now())+l,n=i=0;try{m()}finally{n=0,function(){var t,n,i=e,a=1/0;for(;i;)i._call?(a>i._time&&(a=i._time),t=i,i=i._next):(n=i._next,i._next=null,i=t?t._next=n:e=n);r=t,y(a)}(),s=0}}function v(){var t=c.now(),e=t-o;e>1e3&&(l-=e,o=t)}function y(t){n||(i&&(i=clearTimeout(i)),t-s>24?(t<1/0&&(i=setTimeout(g,t-c.now()-l)),a&&(a=clearInterval(a))):(a||(o=c.now(),a=setInterval(v,1e3)),n=1,u(g)))}p.prototype=d.prototype={constructor:p,restart:function(t,n,i){if(\"function\"!=typeof t)throw new TypeError(\"callback is not a function\");i=(null==i?f():+i)+(null==n?0:+n),this._next||r===this||(r?r._next=this:e=this,r=this),this._call=t,this._time=i,y()},stop:function(){this._call&&(this._call=null,this._time=1/0,y())}},t.interval=function(t,e,r){var n=new p,i=e;return null==e?(n.restart(t,e,r),n):(e=+e,r=null==r?f():+r,n.restart((function a(o){o+=i,n.restart(a,i+=e,r),t(o)}),e,r),n)},t.now=f,t.timeout=function(t,e,r){var n=new p;return e=null==e?0:+e,n.restart((function(r){n.stop(),t(r+e)}),e,r),n},t.timer=d,t.timerFlush=m,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],175:[function(t,e,r){e.exports=function(){for(var t=0;t<arguments.length;t++)if(void 0!==arguments[t])return arguments[t]}},{}],176:[function(t,e,r){\"use strict\";var n=t(\"incremental-convex-hull\"),i=t(\"uniq\");function a(t,e){this.point=t,this.index=e}function o(t,e){for(var r=t.point,n=e.point,i=r.length,a=0;a<i;++a){var o=n[a]-r[a];if(o)return o}return 0}e.exports=function(t,e){var r=t.length;if(0===r)return[];var s=t[0].length;if(s<1)return[];if(1===s)return function(t,e,r){if(1===t)return r?[[-1,0]]:[];var n=e.map((function(t,e){return[t[0],e]}));n.sort((function(t,e){return t[0]-e[0]}));for(var i=new Array(t-1),a=1;a<t;++a){var o=n[a-1],s=n[a];i[a-1]=[o[1],s[1]]}r&&i.push([-1,i[0][1]],[i[t-1][1],-1]);return i}(r,t,e);for(var l=new Array(r),c=1,u=0;u<r;++u){for(var f=t[u],h=new Array(s+1),p=0,d=0;d<s;++d){var m=f[d];h[d]=m,p+=m*m}h[s]=p,l[u]=new a(h,u),c=Math.max(p,c)}i(l,o),r=l.length;var g=new Array(r+s+1),v=new Array(r+s+1),y=(s+1)*(s+1)*c,x=new Array(s+1);for(u=0;u<=s;++u)x[u]=0;x[s]=y,g[0]=x.slice(),v[0]=-1;for(u=0;u<=s;++u){(h=x.slice())[u]=1,g[u+1]=h,v[u+1]=-1}for(u=0;u<r;++u){var b=l[u];g[u+s+1]=b.point,v[u+s+1]=b.index}var _=n(g,!1);_=e?_.filter((function(t){for(var e=0,r=0;r<=s;++r){var n=v[t[r]];if(n<0&&++e>=2)return!1;t[r]=n}return!0})):_.filter((function(t){for(var e=0;e<=s;++e){var r=v[t[e]];if(r<0)return!1;t[e]=r}return!0}));if(1&s)for(u=0;u<_.length;++u){h=(b=_[u])[0];b[0]=b[1],b[1]=h}return _}},{\"incremental-convex-hull\":442,uniq:615}],177:[function(t,e,r){\"use strict\";e.exports=a;var n=(a.canvas=document.createElement(\"canvas\")).getContext(\"2d\"),i=o([32,126]);function a(t,e){Array.isArray(t)&&(t=t.join(\", \"));var r,a={},s=16,l=.05;e&&(2===e.length&&\"number\"==typeof e[0]?r=o(e):Array.isArray(e)?r=e:(e.o?r=o(e.o):e.pairs&&(r=e.pairs),e.fontSize&&(s=e.fontSize),null!=e.threshold&&(l=e.threshold))),r||(r=i),n.font=s+\"px \"+t;for(var c=0;c<r.length;c++){var u=r[c],f=n.measureText(u[0]).width+n.measureText(u[1]).width,h=n.measureText(u).width;if(Math.abs(f-h)>s*l){var p=(h-f)/s;a[u]=1e3*p}}return a}function o(t){for(var e=[],r=t[0];r<=t[1];r++)for(var n=String.fromCharCode(r),i=t[0];i<t[1];i++){var a=n+String.fromCharCode(i);e.push(a)}return e}a.createPairs=o,a.ascii=i},{}],178:[function(t,e,r){(function(t){(function(){var r=!1;if(\"undefined\"!=typeof Float64Array){var n=new Float64Array(1),i=new Uint32Array(n.buffer);if(n[0]=1,r=!0,1072693248===i[1]){e.exports=function(t){return n[0]=t,[i[0],i[1]]},e.exports.pack=function(t,e){return i[0]=t,i[1]=e,n[0]},e.exports.lo=function(t){return n[0]=t,i[0]},e.exports.hi=function(t){return n[0]=t,i[1]}}else if(1072693248===i[0]){e.exports=function(t){return n[0]=t,[i[1],i[0]]},e.exports.pack=function(t,e){return i[1]=t,i[0]=e,n[0]},e.exports.lo=function(t){return n[0]=t,i[1]},e.exports.hi=function(t){return n[0]=t,i[0]}}else r=!1}if(!r){var a=new t(8);e.exports=function(t){return a.writeDoubleLE(t,0,!0),[a.readUInt32LE(0,!0),a.readUInt32LE(4,!0)]},e.exports.pack=function(t,e){return a.writeUInt32LE(t,0,!0),a.writeUInt32LE(e,4,!0),a.readDoubleLE(0,!0)},e.exports.lo=function(t){return a.writeDoubleLE(t,0,!0),a.readUInt32LE(0,!0)},e.exports.hi=function(t){return a.writeDoubleLE(t,0,!0),a.readUInt32LE(4,!0)}}e.exports.sign=function(t){return e.exports.hi(t)>>>31},e.exports.exponent=function(t){return(e.exports.hi(t)<<1>>>21)-1023},e.exports.fraction=function(t){var r=e.exports.lo(t),n=e.exports.hi(t),i=1048575&n;return 2146435072&n&&(i+=1<<20),[r,i]},e.exports.denormalized=function(t){return!(2146435072&e.exports.hi(t))}}).call(this)}).call(this,t(\"buffer\").Buffer)},{buffer:117}],179:[function(t,e,r){var n=t(\"abs-svg-path\"),i=t(\"normalize-svg-path\"),a={M:\"moveTo\",C:\"bezierCurveTo\"};e.exports=function(t,e){t.beginPath(),i(n(e)).forEach((function(e){var r=e[0],n=e.slice(1);t[a[r]].apply(t,n)})),t.closePath()}},{\"abs-svg-path\":71,\"normalize-svg-path\":481}],180:[function(t,e,r){e.exports=function(t){switch(t){case\"int8\":return Int8Array;case\"int16\":return Int16Array;case\"int32\":return Int32Array;case\"uint8\":return Uint8Array;case\"uint16\":return Uint16Array;case\"uint32\":return Uint32Array;case\"float32\":return Float32Array;case\"float64\":return Float64Array;case\"array\":return Array;case\"uint8_clamped\":return Uint8ClampedArray}}},{}],181:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(void 0===e&&(e=0),typeof t){case\"number\":if(t>0)return function(t,e){var r,n;for(r=new Array(t),n=0;n<t;++n)r[n]=e;return r}(0|t,e);break;case\"object\":if(\"number\"==typeof t.length)return function t(e,r,n){var i=0|e[n];if(i<=0)return[];var a,o=new Array(i);if(n===e.length-1)for(a=0;a<i;++a)o[a]=r;else for(a=0;a<i;++a)o[a]=t(e,r,n+1);return o}(t,e,0)}return[]}},{}],182:[function(t,e,r){\"use strict\";function n(t,e,r){r=r||2;var n,s,l,c,u,p,d,g=e&&e.length,v=g?e[0]*r:t.length,y=i(t,0,v,r,!0),x=[];if(!y||y.next===y.prev)return x;if(g&&(y=function(t,e,r,n){var o,s,l,c,u,p=[];for(o=0,s=e.length;o<s;o++)l=e[o]*n,c=o<s-1?e[o+1]*n:t.length,(u=i(t,l,c,n,!1))===u.next&&(u.steiner=!0),p.push(m(u));for(p.sort(f),o=0;o<p.length;o++)h(p[o],r),r=a(r,r.next);return r}(t,e,y,r)),t.length>80*r){n=l=t[0],s=c=t[1];for(var b=r;b<v;b+=r)(u=t[b])<n&&(n=u),(p=t[b+1])<s&&(s=p),u>l&&(l=u),p>c&&(c=p);d=0!==(d=Math.max(l-n,c-s))?1/d:0}return o(y,x,r,n,s,d),x}function i(t,e,r,n,i){var a,o;if(i===E(t,e,r,n)>0)for(a=e;a<r;a+=n)o=M(a,t[a],t[a+1],o);else for(a=r-n;a>=e;a-=n)o=M(a,t[a],t[a+1],o);return o&&x(o,o.next)&&(A(o),o=o.next),o}function a(t,e){if(!t)return t;e||(e=t);var r,n=t;do{if(r=!1,n.steiner||!x(n,n.next)&&0!==y(n.prev,n,n.next))n=n.next;else{if(A(n),(n=e=n.prev)===n.next)break;r=!0}}while(r||n!==e);return e}function o(t,e,r,n,i,f,h){if(t){!h&&f&&function(t,e,r,n){var i=t;do{null===i.z&&(i.z=d(i.x,i.y,e,r,n)),i.prevZ=i.prev,i.nextZ=i.next,i=i.next}while(i!==t);i.prevZ.nextZ=null,i.prevZ=null,function(t){var e,r,n,i,a,o,s,l,c=1;do{for(r=t,t=null,a=null,o=0;r;){for(o++,n=r,s=0,e=0;e<c&&(s++,n=n.nextZ);e++);for(l=c;s>0||l>0&&n;)0!==s&&(0===l||!n||r.z<=n.z)?(i=r,r=r.nextZ,s--):(i=n,n=n.nextZ,l--),a?a.nextZ=i:t=i,i.prevZ=a,a=i;r=n}a.nextZ=null,c*=2}while(o>1)}(i)}(t,n,i,f);for(var p,m,g=t;t.prev!==t.next;)if(p=t.prev,m=t.next,f?l(t,n,i,f):s(t))e.push(p.i/r),e.push(t.i/r),e.push(m.i/r),A(t),t=m.next,g=m.next;else if((t=m)===g){h?1===h?o(t=c(a(t),e,r),e,r,n,i,f,2):2===h&&u(t,e,r,n,i,f):o(a(t),e,r,n,i,f,1);break}}}function s(t){var e=t.prev,r=t,n=t.next;if(y(e,r,n)>=0)return!1;for(var i=t.next.next;i!==t.prev;){if(g(e.x,e.y,r.x,r.y,n.x,n.y,i.x,i.y)&&y(i.prev,i,i.next)>=0)return!1;i=i.next}return!0}function l(t,e,r,n){var i=t.prev,a=t,o=t.next;if(y(i,a,o)>=0)return!1;for(var s=i.x<a.x?i.x<o.x?i.x:o.x:a.x<o.x?a.x:o.x,l=i.y<a.y?i.y<o.y?i.y:o.y:a.y<o.y?a.y:o.y,c=i.x>a.x?i.x>o.x?i.x:o.x:a.x>o.x?a.x:o.x,u=i.y>a.y?i.y>o.y?i.y:o.y:a.y>o.y?a.y:o.y,f=d(s,l,e,r,n),h=d(c,u,e,r,n),p=t.prevZ,m=t.nextZ;p&&p.z>=f&&m&&m.z<=h;){if(p!==t.prev&&p!==t.next&&g(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&y(p.prev,p,p.next)>=0)return!1;if(p=p.prevZ,m!==t.prev&&m!==t.next&&g(i.x,i.y,a.x,a.y,o.x,o.y,m.x,m.y)&&y(m.prev,m,m.next)>=0)return!1;m=m.nextZ}for(;p&&p.z>=f;){if(p!==t.prev&&p!==t.next&&g(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&y(p.prev,p,p.next)>=0)return!1;p=p.prevZ}for(;m&&m.z<=h;){if(m!==t.prev&&m!==t.next&&g(i.x,i.y,a.x,a.y,o.x,o.y,m.x,m.y)&&y(m.prev,m,m.next)>=0)return!1;m=m.nextZ}return!0}function c(t,e,r){var n=t;do{var i=n.prev,o=n.next.next;!x(i,o)&&b(i,n,n.next,o)&&T(i,o)&&T(o,i)&&(e.push(i.i/r),e.push(n.i/r),e.push(o.i/r),A(n),A(n.next),n=t=o),n=n.next}while(n!==t);return a(n)}function u(t,e,r,n,i,s){var l=t;do{for(var c=l.next.next;c!==l.prev;){if(l.i!==c.i&&v(l,c)){var u=k(l,c);return l=a(l,l.next),u=a(u,u.next),o(l,e,r,n,i,s),void o(u,e,r,n,i,s)}c=c.next}l=l.next}while(l!==t)}function f(t,e){return t.x-e.x}function h(t,e){if(e=function(t,e){var r,n=e,i=t.x,a=t.y,o=-1/0;do{if(a<=n.y&&a>=n.next.y&&n.next.y!==n.y){var s=n.x+(a-n.y)*(n.next.x-n.x)/(n.next.y-n.y);if(s<=i&&s>o){if(o=s,s===i){if(a===n.y)return n;if(a===n.next.y)return n.next}r=n.x<n.next.x?n:n.next}}n=n.next}while(n!==e);if(!r)return null;if(i===o)return r;var l,c=r,u=r.x,f=r.y,h=1/0;n=r;do{i>=n.x&&n.x>=u&&i!==n.x&&g(a<f?i:o,a,u,f,a<f?o:i,a,n.x,n.y)&&(l=Math.abs(a-n.y)/(i-n.x),T(n,t)&&(l<h||l===h&&(n.x>r.x||n.x===r.x&&p(r,n)))&&(r=n,h=l)),n=n.next}while(n!==c);return r}(t,e)){var r=k(e,t);a(e,e.next),a(r,r.next)}}function p(t,e){return y(t.prev,t,e.prev)<0&&y(e.next,t,t.next)<0}function d(t,e,r,n,i){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t=32767*(t-r)*i)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e=32767*(e-n)*i)|e<<8))|e<<4))|e<<2))|e<<1))<<1}function m(t){var e=t,r=t;do{(e.x<r.x||e.x===r.x&&e.y<r.y)&&(r=e),e=e.next}while(e!==t);return r}function g(t,e,r,n,i,a,o,s){return(i-o)*(e-s)-(t-o)*(a-s)>=0&&(t-o)*(n-s)-(r-o)*(e-s)>=0&&(r-o)*(a-s)-(i-o)*(n-s)>=0}function v(t,e){return t.next.i!==e.i&&t.prev.i!==e.i&&!function(t,e){var r=t;do{if(r.i!==t.i&&r.next.i!==t.i&&r.i!==e.i&&r.next.i!==e.i&&b(r,r.next,t,e))return!0;r=r.next}while(r!==t);return!1}(t,e)&&(T(t,e)&&T(e,t)&&function(t,e){var r=t,n=!1,i=(t.x+e.x)/2,a=(t.y+e.y)/2;do{r.y>a!=r.next.y>a&&r.next.y!==r.y&&i<(r.next.x-r.x)*(a-r.y)/(r.next.y-r.y)+r.x&&(n=!n),r=r.next}while(r!==t);return n}(t,e)&&(y(t.prev,t,e.prev)||y(t,e.prev,e))||x(t,e)&&y(t.prev,t,t.next)>0&&y(e.prev,e,e.next)>0)}function y(t,e,r){return(e.y-t.y)*(r.x-e.x)-(e.x-t.x)*(r.y-e.y)}function x(t,e){return t.x===e.x&&t.y===e.y}function b(t,e,r,n){var i=w(y(t,e,r)),a=w(y(t,e,n)),o=w(y(r,n,t)),s=w(y(r,n,e));return i!==a&&o!==s||(!(0!==i||!_(t,r,e))||(!(0!==a||!_(t,n,e))||(!(0!==o||!_(r,t,n))||!(0!==s||!_(r,e,n)))))}function _(t,e,r){return e.x<=Math.max(t.x,r.x)&&e.x>=Math.min(t.x,r.x)&&e.y<=Math.max(t.y,r.y)&&e.y>=Math.min(t.y,r.y)}function w(t){return t>0?1:t<0?-1:0}function T(t,e){return y(t.prev,t,t.next)<0?y(t,e,t.next)>=0&&y(t,t.prev,e)>=0:y(t,e,t.prev)<0||y(t,t.next,e)<0}function k(t,e){var r=new S(t.i,t.x,t.y),n=new S(e.i,e.x,e.y),i=t.next,a=e.prev;return t.next=e,e.prev=t,r.next=i,i.prev=r,n.next=r,r.prev=n,a.next=n,n.prev=a,n}function M(t,e,r,n){var i=new S(t,e,r);return n?(i.next=n.next,i.prev=n,n.next.prev=i,n.next=i):(i.prev=i,i.next=i),i}function A(t){t.next.prev=t.prev,t.prev.next=t.next,t.prevZ&&(t.prevZ.nextZ=t.nextZ),t.nextZ&&(t.nextZ.prevZ=t.prevZ)}function S(t,e,r){this.i=t,this.x=e,this.y=r,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}function E(t,e,r,n){for(var i=0,a=e,o=r-n;a<r;a+=n)i+=(t[o]-t[a])*(t[a+1]+t[o+1]),o=a;return i}e.exports=n,e.exports.default=n,n.deviation=function(t,e,r,n){var i=e&&e.length,a=i?e[0]*r:t.length,o=Math.abs(E(t,0,a,r));if(i)for(var s=0,l=e.length;s<l;s++){var c=e[s]*r,u=s<l-1?e[s+1]*r:t.length;o-=Math.abs(E(t,c,u,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},n.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r}},{}],183:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(\"number\"!=typeof e){e=0;for(var i=0;i<r;++i){var a=t[i];e=Math.max(e,a[0],a[1])}e=1+(0|e)}e|=0;var o=new Array(e);for(i=0;i<e;++i)o[i]=[];for(i=0;i<r;++i){a=t[i];o[a[0]].push(a[1]),o[a[1]].push(a[0])}for(var s=0;s<e;++s)n(o[s],(function(t,e){return t-e}));return o};var n=t(\"uniq\")},{uniq:615}],184:[function(t,e,r){var n=t(\"strongly-connected-components\");e.exports=function(t,e){var r,i=[],a=[],o=[],s={},l=[];function c(t){var e,n,i=!1;for(a.push(t),o[t]=!0,e=0;e<l[t].length;e++)(n=l[t][e])===r?(u(r,a),i=!0):o[n]||(i=c(n));if(i)!function t(e){o[e]=!1,s.hasOwnProperty(e)&&Object.keys(s[e]).forEach((function(r){delete s[e][r],o[r]&&t(r)}))}(t);else for(e=0;e<l[t].length;e++){n=l[t][e];var f=s[n];f||(f={},s[n]=f),f[n]=!0}return a.pop(),i}function u(t,r){var n=[].concat(r).concat(t);e?e(c):i.push(n)}function f(e){!function(e){for(var r=0;r<t.length;r++)r<e&&(t[r]=[]),t[r]=t[r].filter((function(t){return t>=e}))}(e);for(var r,i=n(t).components.filter((function(t){return t.length>1})),a=1/0,o=0;o<i.length;o++)for(var s=0;s<i[o].length;s++)i[o][s]<a&&(a=i[o][s],r=o);var l=i[r];return!!l&&{leastVertex:a,adjList:t.map((function(t,e){return-1===l.indexOf(e)?[]:t.filter((function(t){return-1!==l.indexOf(t)}))}))}}r=0;for(var h=t.length;r<h;){var p=f(r);if(r=p.leastVertex,l=p.adjList){for(var d=0;d<l.length;d++)for(var m=0;m<l[d].length;m++){var g=l[d][m];o[+g]=!1,s[g]={}}c(r),r+=1}else r=h}return e?void 0:i}},{\"strongly-connected-components\":586}],185:[function(t,e,r){\"use strict\";var n=t(\"../../object/valid-value\");e.exports=function(){return n(this).length=0,this}},{\"../../object/valid-value\":216}],186:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?Array.from:t(\"./shim\")},{\"./is-implemented\":187,\"./shim\":188}],187:[function(t,e,r){\"use strict\";e.exports=function(){var t,e,r=Array.from;return\"function\"==typeof r&&(e=r(t=[\"raz\",\"dwa\"]),Boolean(e&&e!==t&&\"dwa\"===e[1]))}},{}],188:[function(t,e,r){\"use strict\";var n=t(\"es6-symbol\").iterator,i=t(\"../../function/is-arguments\"),a=t(\"../../function/is-function\"),o=t(\"../../number/to-pos-integer\"),s=t(\"../../object/valid-callable\"),l=t(\"../../object/valid-value\"),c=t(\"../../object/is-value\"),u=t(\"../../string/is-string\"),f=Array.isArray,h=Function.prototype.call,p={configurable:!0,enumerable:!0,writable:!0,value:null},d=Object.defineProperty;e.exports=function(t){var e,r,m,g,v,y,x,b,_,w,T=arguments[1],k=arguments[2];if(t=Object(l(t)),c(T)&&s(T),this&&this!==Array&&a(this))e=this;else{if(!T){if(i(t))return 1!==(v=t.length)?Array.apply(null,t):((g=new Array(1))[0]=t[0],g);if(f(t)){for(g=new Array(v=t.length),r=0;r<v;++r)g[r]=t[r];return g}}g=[]}if(!f(t))if(void 0!==(_=t[n])){for(x=s(_).call(t),e&&(g=new e),b=x.next(),r=0;!b.done;)w=T?h.call(T,k,b.value,r):b.value,e?(p.value=w,d(g,r,p)):g[r]=w,b=x.next(),++r;v=r}else if(u(t)){for(v=t.length,e&&(g=new e),r=0,m=0;r<v;++r)w=t[r],r+1<v&&(y=w.charCodeAt(0))>=55296&&y<=56319&&(w+=t[++r]),w=T?h.call(T,k,w,m):w,e?(p.value=w,d(g,m,p)):g[m]=w,++m;v=m}if(void 0===v)for(v=o(t.length),e&&(g=new e(v)),r=0;r<v;++r)w=T?h.call(T,k,t[r],r):t[r],e?(p.value=w,d(g,r,p)):g[r]=w;return e&&(p.value=null,g.length=v),g}},{\"../../function/is-arguments\":189,\"../../function/is-function\":190,\"../../number/to-pos-integer\":196,\"../../object/is-value\":205,\"../../object/valid-callable\":214,\"../../object/valid-value\":216,\"../../string/is-string\":220,\"es6-symbol\":229}],189:[function(t,e,r){\"use strict\";var n=Object.prototype.toString,i=n.call(function(){return arguments}());e.exports=function(t){return n.call(t)===i}},{}],190:[function(t,e,r){\"use strict\";var n=Object.prototype.toString,i=RegExp.prototype.test.bind(/^[object [A-Za-z0-9]*Function]$/);e.exports=function(t){return\"function\"==typeof t&&i(n.call(t))}},{}],191:[function(t,e,r){\"use strict\";e.exports=function(){}},{}],192:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?Math.sign:t(\"./shim\")},{\"./is-implemented\":193,\"./shim\":194}],193:[function(t,e,r){\"use strict\";e.exports=function(){var t=Math.sign;return\"function\"==typeof t&&(1===t(10)&&-1===t(-20))}},{}],194:[function(t,e,r){\"use strict\";e.exports=function(t){return t=Number(t),isNaN(t)||0===t?t:t>0?1:-1}},{}],195:[function(t,e,r){\"use strict\";var n=t(\"../math/sign\"),i=Math.abs,a=Math.floor;e.exports=function(t){return isNaN(t)?0:0!==(t=Number(t))&&isFinite(t)?n(t)*a(i(t)):t}},{\"../math/sign\":192}],196:[function(t,e,r){\"use strict\";var n=t(\"./to-integer\"),i=Math.max;e.exports=function(t){return i(0,n(t))}},{\"./to-integer\":195}],197:[function(t,e,r){\"use strict\";var n=t(\"./valid-callable\"),i=t(\"./valid-value\"),a=Function.prototype.bind,o=Function.prototype.call,s=Object.keys,l=Object.prototype.propertyIsEnumerable;e.exports=function(t,e){return function(r,c){var u,f=arguments[2],h=arguments[3];return r=Object(i(r)),n(c),u=s(r),h&&u.sort(\"function\"==typeof h?a.call(h,r):void 0),\"function\"!=typeof t&&(t=u[t]),o.call(t,u,(function(t,n){return l.call(r,t)?o.call(c,f,r[t],t,r,n):e}))}}},{\"./valid-callable\":214,\"./valid-value\":216}],198:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?Object.assign:t(\"./shim\")},{\"./is-implemented\":199,\"./shim\":200}],199:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=Object.assign;return\"function\"==typeof e&&(e(t={foo:\"raz\"},{bar:\"dwa\"},{trzy:\"trzy\"}),t.foo+t.bar+t.trzy===\"razdwatrzy\")}},{}],200:[function(t,e,r){\"use strict\";var n=t(\"../keys\"),i=t(\"../valid-value\"),a=Math.max;e.exports=function(t,e){var r,o,s,l=a(arguments.length,2);for(t=Object(i(t)),s=function(n){try{t[n]=e[n]}catch(t){r||(r=t)}},o=1;o<l;++o)n(e=arguments[o]).forEach(s);if(void 0!==r)throw r;return t}},{\"../keys\":206,\"../valid-value\":216}],201:[function(t,e,r){\"use strict\";var n=t(\"../array/from\"),i=t(\"./assign\"),a=t(\"./valid-value\");e.exports=function(t){var e=Object(a(t)),r=arguments[1],o=Object(arguments[2]);if(e!==t&&!r)return e;var s={};return r?n(r,(function(e){(o.ensure||e in t)&&(s[e]=t[e])})):i(s,t),s}},{\"../array/from\":186,\"./assign\":198,\"./valid-value\":216}],202:[function(t,e,r){\"use strict\";var n,i,a,o,s=Object.create;t(\"./set-prototype-of/is-implemented\")()||(n=t(\"./set-prototype-of/shim\")),e.exports=n?1!==n.level?s:(i={},a={},o={configurable:!1,enumerable:!1,writable:!0,value:void 0},Object.getOwnPropertyNames(Object.prototype).forEach((function(t){a[t]=\"__proto__\"!==t?o:{configurable:!0,enumerable:!1,writable:!0,value:void 0}})),Object.defineProperties(i,a),Object.defineProperty(n,\"nullPolyfill\",{configurable:!1,enumerable:!1,writable:!1,value:i}),function(t,e){return s(null===t?i:t,e)}):s},{\"./set-prototype-of/is-implemented\":212,\"./set-prototype-of/shim\":213}],203:[function(t,e,r){\"use strict\";e.exports=t(\"./_iterate\")(\"forEach\")},{\"./_iterate\":197}],204:[function(t,e,r){\"use strict\";var n=t(\"./is-value\"),i={function:!0,object:!0};e.exports=function(t){return n(t)&&i[typeof t]||!1}},{\"./is-value\":205}],205:[function(t,e,r){\"use strict\";var n=t(\"../function/noop\")();e.exports=function(t){return t!==n&&null!==t}},{\"../function/noop\":191}],206:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?Object.keys:t(\"./shim\")},{\"./is-implemented\":207,\"./shim\":208}],207:[function(t,e,r){\"use strict\";e.exports=function(){try{return Object.keys(\"primitive\"),!0}catch(t){return!1}}},{}],208:[function(t,e,r){\"use strict\";var n=t(\"../is-value\"),i=Object.keys;e.exports=function(t){return i(n(t)?Object(t):t)}},{\"../is-value\":205}],209:[function(t,e,r){\"use strict\";var n=t(\"./valid-callable\"),i=t(\"./for-each\"),a=Function.prototype.call;e.exports=function(t,e){var r={},o=arguments[2];return n(e),i(t,(function(t,n,i,s){r[n]=a.call(e,o,t,n,i,s)})),r}},{\"./for-each\":203,\"./valid-callable\":214}],210:[function(t,e,r){\"use strict\";var n=t(\"./is-value\"),i=Array.prototype.forEach,a=Object.create,o=function(t,e){var r;for(r in t)e[r]=t[r]};e.exports=function(t){var e=a(null);return i.call(arguments,(function(t){n(t)&&o(Object(t),e)})),e}},{\"./is-value\":205}],211:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?Object.setPrototypeOf:t(\"./shim\")},{\"./is-implemented\":212,\"./shim\":213}],212:[function(t,e,r){\"use strict\";var n=Object.create,i=Object.getPrototypeOf,a={};e.exports=function(){var t=Object.setPrototypeOf,e=arguments[0]||n;return\"function\"==typeof t&&i(t(e(null),a))===a}},{}],213:[function(t,e,r){\"use strict\";var n,i=t(\"../is-object\"),a=t(\"../valid-value\"),o=Object.prototype.isPrototypeOf,s=Object.defineProperty,l={configurable:!0,enumerable:!1,writable:!0,value:void 0};n=function(t,e){if(a(t),null===e||i(e))return t;throw new TypeError(\"Prototype must be null or an object\")},e.exports=function(t){var e,r;return t?(2===t.level?t.set?(r=t.set,e=function(t,e){return r.call(n(t,e),e),t}):e=function(t,e){return n(t,e).__proto__=e,t}:e=function t(e,r){var i;return n(e,r),(i=o.call(t.nullPolyfill,e))&&delete t.nullPolyfill.__proto__,null===r&&(r=t.nullPolyfill),e.__proto__=r,i&&s(t.nullPolyfill,\"__proto__\",l),e},Object.defineProperty(e,\"level\",{configurable:!1,enumerable:!1,writable:!1,value:t.level})):null}(function(){var t,e=Object.create(null),r={},n=Object.getOwnPropertyDescriptor(Object.prototype,\"__proto__\");if(n){try{(t=n.set).call(e,r)}catch(t){}if(Object.getPrototypeOf(e)===r)return{set:t,level:2}}return e.__proto__=r,Object.getPrototypeOf(e)===r?{level:2}:((e={}).__proto__=r,Object.getPrototypeOf(e)===r&&{level:1})}()),t(\"../create\")},{\"../create\":202,\"../is-object\":204,\"../valid-value\":216}],214:[function(t,e,r){\"use strict\";e.exports=function(t){if(\"function\"!=typeof t)throw new TypeError(t+\" is not a function\");return t}},{}],215:[function(t,e,r){\"use strict\";var n=t(\"./is-object\");e.exports=function(t){if(!n(t))throw new TypeError(t+\" is not an Object\");return t}},{\"./is-object\":204}],216:[function(t,e,r){\"use strict\";var n=t(\"./is-value\");e.exports=function(t){if(!n(t))throw new TypeError(\"Cannot use null or undefined\");return t}},{\"./is-value\":205}],217:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?String.prototype.contains:t(\"./shim\")},{\"./is-implemented\":218,\"./shim\":219}],218:[function(t,e,r){\"use strict\";var n=\"razdwatrzy\";e.exports=function(){return\"function\"==typeof n.contains&&(!0===n.contains(\"dwa\")&&!1===n.contains(\"foo\"))}},{}],219:[function(t,e,r){\"use strict\";var n=String.prototype.indexOf;e.exports=function(t){return n.call(this,t,arguments[1])>-1}},{}],220:[function(t,e,r){\"use strict\";var n=Object.prototype.toString,i=n.call(\"\");e.exports=function(t){return\"string\"==typeof t||t&&\"object\"==typeof t&&(t instanceof String||n.call(t)===i)||!1}},{}],221:[function(t,e,r){\"use strict\";var n=Object.create(null),i=Math.random;e.exports=function(){var t;do{t=i().toString(36).slice(2)}while(n[t]);return t}},{}],222:[function(t,e,r){\"use strict\";var n,i=t(\"es5-ext/object/set-prototype-of\"),a=t(\"es5-ext/string/#/contains\"),o=t(\"d\"),s=t(\"es6-symbol\"),l=t(\"./\"),c=Object.defineProperty;n=e.exports=function(t,e){if(!(this instanceof n))throw new TypeError(\"Constructor requires 'new'\");l.call(this,t),e=e?a.call(e,\"key+value\")?\"key+value\":a.call(e,\"key\")?\"key\":\"value\":\"value\",c(this,\"__kind__\",o(\"\",e))},i&&i(n,l),delete n.prototype.constructor,n.prototype=Object.create(l.prototype,{_resolve:o((function(t){return\"value\"===this.__kind__?this.__list__[t]:\"key+value\"===this.__kind__?[t,this.__list__[t]]:t}))}),c(n.prototype,s.toStringTag,o(\"c\",\"Array Iterator\"))},{\"./\":225,d:161,\"es5-ext/object/set-prototype-of\":211,\"es5-ext/string/#/contains\":217,\"es6-symbol\":229}],223:[function(t,e,r){\"use strict\";var n=t(\"es5-ext/function/is-arguments\"),i=t(\"es5-ext/object/valid-callable\"),a=t(\"es5-ext/string/is-string\"),o=t(\"./get\"),s=Array.isArray,l=Function.prototype.call,c=Array.prototype.some;e.exports=function(t,e){var r,u,f,h,p,d,m,g,v=arguments[2];if(s(t)||n(t)?r=\"array\":a(t)?r=\"string\":t=o(t),i(e),f=function(){h=!0},\"array\"!==r)if(\"string\"!==r)for(u=t.next();!u.done;){if(l.call(e,v,u.value,f),h)return;u=t.next()}else for(d=t.length,p=0;p<d&&(m=t[p],p+1<d&&(g=m.charCodeAt(0))>=55296&&g<=56319&&(m+=t[++p]),l.call(e,v,m,f),!h);++p);else c.call(t,(function(t){return l.call(e,v,t,f),h}))}},{\"./get\":224,\"es5-ext/function/is-arguments\":189,\"es5-ext/object/valid-callable\":214,\"es5-ext/string/is-string\":220}],224:[function(t,e,r){\"use strict\";var n=t(\"es5-ext/function/is-arguments\"),i=t(\"es5-ext/string/is-string\"),a=t(\"./array\"),o=t(\"./string\"),s=t(\"./valid-iterable\"),l=t(\"es6-symbol\").iterator;e.exports=function(t){return\"function\"==typeof s(t)[l]?t[l]():n(t)?new a(t):i(t)?new o(t):new a(t)}},{\"./array\":222,\"./string\":227,\"./valid-iterable\":228,\"es5-ext/function/is-arguments\":189,\"es5-ext/string/is-string\":220,\"es6-symbol\":229}],225:[function(t,e,r){\"use strict\";var n,i=t(\"es5-ext/array/#/clear\"),a=t(\"es5-ext/object/assign\"),o=t(\"es5-ext/object/valid-callable\"),s=t(\"es5-ext/object/valid-value\"),l=t(\"d\"),c=t(\"d/auto-bind\"),u=t(\"es6-symbol\"),f=Object.defineProperty,h=Object.defineProperties;e.exports=n=function(t,e){if(!(this instanceof n))throw new TypeError(\"Constructor requires 'new'\");h(this,{__list__:l(\"w\",s(t)),__context__:l(\"w\",e),__nextIndex__:l(\"w\",0)}),e&&(o(e.on),e.on(\"_add\",this._onAdd),e.on(\"_delete\",this._onDelete),e.on(\"_clear\",this._onClear))},delete n.prototype.constructor,h(n.prototype,a({_next:l((function(){var t;if(this.__list__)return this.__redo__&&void 0!==(t=this.__redo__.shift())?t:this.__nextIndex__<this.__list__.length?this.__nextIndex__++:void this._unBind()})),next:l((function(){return this._createResult(this._next())})),_createResult:l((function(t){return void 0===t?{done:!0,value:void 0}:{done:!1,value:this._resolve(t)}})),_resolve:l((function(t){return this.__list__[t]})),_unBind:l((function(){this.__list__=null,delete this.__redo__,this.__context__&&(this.__context__.off(\"_add\",this._onAdd),this.__context__.off(\"_delete\",this._onDelete),this.__context__.off(\"_clear\",this._onClear),this.__context__=null)})),toString:l((function(){return\"[object \"+(this[u.toStringTag]||\"Object\")+\"]\"}))},c({_onAdd:l((function(t){t>=this.__nextIndex__||(++this.__nextIndex__,this.__redo__?(this.__redo__.forEach((function(e,r){e>=t&&(this.__redo__[r]=++e)}),this),this.__redo__.push(t)):f(this,\"__redo__\",l(\"c\",[t])))})),_onDelete:l((function(t){var e;t>=this.__nextIndex__||(--this.__nextIndex__,this.__redo__&&(-1!==(e=this.__redo__.indexOf(t))&&this.__redo__.splice(e,1),this.__redo__.forEach((function(e,r){e>t&&(this.__redo__[r]=--e)}),this)))})),_onClear:l((function(){this.__redo__&&i.call(this.__redo__),this.__nextIndex__=0}))}))),f(n.prototype,u.iterator,l((function(){return this})))},{d:161,\"d/auto-bind\":160,\"es5-ext/array/#/clear\":185,\"es5-ext/object/assign\":198,\"es5-ext/object/valid-callable\":214,\"es5-ext/object/valid-value\":216,\"es6-symbol\":229}],226:[function(t,e,r){\"use strict\";var n=t(\"es5-ext/function/is-arguments\"),i=t(\"es5-ext/object/is-value\"),a=t(\"es5-ext/string/is-string\"),o=t(\"es6-symbol\").iterator,s=Array.isArray;e.exports=function(t){return!!i(t)&&(!!s(t)||(!!a(t)||(!!n(t)||\"function\"==typeof t[o])))}},{\"es5-ext/function/is-arguments\":189,\"es5-ext/object/is-value\":205,\"es5-ext/string/is-string\":220,\"es6-symbol\":229}],227:[function(t,e,r){\"use strict\";var n,i=t(\"es5-ext/object/set-prototype-of\"),a=t(\"d\"),o=t(\"es6-symbol\"),s=t(\"./\"),l=Object.defineProperty;n=e.exports=function(t){if(!(this instanceof n))throw new TypeError(\"Constructor requires 'new'\");t=String(t),s.call(this,t),l(this,\"__length__\",a(\"\",t.length))},i&&i(n,s),delete n.prototype.constructor,n.prototype=Object.create(s.prototype,{_next:a((function(){if(this.__list__)return this.__nextIndex__<this.__length__?this.__nextIndex__++:void this._unBind()})),_resolve:a((function(t){var e,r=this.__list__[t];return this.__nextIndex__===this.__length__?r:(e=r.charCodeAt(0))>=55296&&e<=56319?r+this.__list__[this.__nextIndex__++]:r}))}),l(n.prototype,o.toStringTag,a(\"c\",\"String Iterator\"))},{\"./\":225,d:161,\"es5-ext/object/set-prototype-of\":211,\"es6-symbol\":229}],228:[function(t,e,r){\"use strict\";var n=t(\"./is-iterable\");e.exports=function(t){if(!n(t))throw new TypeError(t+\" is not iterable\");return t}},{\"./is-iterable\":226}],229:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?t(\"ext/global-this\").Symbol:t(\"./polyfill\")},{\"./is-implemented\":230,\"./polyfill\":235,\"ext/global-this\":242}],230:[function(t,e,r){\"use strict\";var n=t(\"ext/global-this\"),i={object:!0,symbol:!0};e.exports=function(){var t,e=n.Symbol;if(\"function\"!=typeof e)return!1;t=e(\"test symbol\");try{String(t)}catch(t){return!1}return!!i[typeof e.iterator]&&(!!i[typeof e.toPrimitive]&&!!i[typeof e.toStringTag])}},{\"ext/global-this\":242}],231:[function(t,e,r){\"use strict\";e.exports=function(t){return!!t&&(\"symbol\"==typeof t||!!t.constructor&&(\"Symbol\"===t.constructor.name&&\"Symbol\"===t[t.constructor.toStringTag]))}},{}],232:[function(t,e,r){\"use strict\";var n=t(\"d\"),i=Object.create,a=Object.defineProperty,o=Object.prototype,s=i(null);e.exports=function(t){for(var e,r,i=0;s[t+(i||\"\")];)++i;return s[t+=i||\"\"]=!0,a(o,e=\"@@\"+t,n.gs(null,(function(t){r||(r=!0,a(this,e,n(t)),r=!1)}))),e}},{d:161}],233:[function(t,e,r){\"use strict\";var n=t(\"d\"),i=t(\"ext/global-this\").Symbol;e.exports=function(t){return Object.defineProperties(t,{hasInstance:n(\"\",i&&i.hasInstance||t(\"hasInstance\")),isConcatSpreadable:n(\"\",i&&i.isConcatSpreadable||t(\"isConcatSpreadable\")),iterator:n(\"\",i&&i.iterator||t(\"iterator\")),match:n(\"\",i&&i.match||t(\"match\")),replace:n(\"\",i&&i.replace||t(\"replace\")),search:n(\"\",i&&i.search||t(\"search\")),species:n(\"\",i&&i.species||t(\"species\")),split:n(\"\",i&&i.split||t(\"split\")),toPrimitive:n(\"\",i&&i.toPrimitive||t(\"toPrimitive\")),toStringTag:n(\"\",i&&i.toStringTag||t(\"toStringTag\")),unscopables:n(\"\",i&&i.unscopables||t(\"unscopables\"))})}},{d:161,\"ext/global-this\":242}],234:[function(t,e,r){\"use strict\";var n=t(\"d\"),i=t(\"../../../validate-symbol\"),a=Object.create(null);e.exports=function(t){return Object.defineProperties(t,{for:n((function(e){return a[e]?a[e]:a[e]=t(String(e))})),keyFor:n((function(t){var e;for(e in i(t),a)if(a[e]===t)return e}))})}},{\"../../../validate-symbol\":236,d:161}],235:[function(t,e,r){\"use strict\";var n,i,a,o=t(\"d\"),s=t(\"./validate-symbol\"),l=t(\"ext/global-this\").Symbol,c=t(\"./lib/private/generate-name\"),u=t(\"./lib/private/setup/standard-symbols\"),f=t(\"./lib/private/setup/symbol-registry\"),h=Object.create,p=Object.defineProperties,d=Object.defineProperty;if(\"function\"==typeof l)try{String(l()),a=!0}catch(t){}else l=null;i=function(t){if(this instanceof i)throw new TypeError(\"Symbol is not a constructor\");return n(t)},e.exports=n=function t(e){var r;if(this instanceof t)throw new TypeError(\"Symbol is not a constructor\");return a?l(e):(r=h(i.prototype),e=void 0===e?\"\":String(e),p(r,{__description__:o(\"\",e),__name__:o(\"\",c(e))}))},u(n),f(n),p(i.prototype,{constructor:o(n),toString:o(\"\",(function(){return this.__name__}))}),p(n.prototype,{toString:o((function(){return\"Symbol (\"+s(this).__description__+\")\"})),valueOf:o((function(){return s(this)}))}),d(n.prototype,n.toPrimitive,o(\"\",(function(){var t=s(this);return\"symbol\"==typeof t?t:t.toString()}))),d(n.prototype,n.toStringTag,o(\"c\",\"Symbol\")),d(i.prototype,n.toStringTag,o(\"c\",n.prototype[n.toStringTag])),d(i.prototype,n.toPrimitive,o(\"c\",n.prototype[n.toPrimitive]))},{\"./lib/private/generate-name\":232,\"./lib/private/setup/standard-symbols\":233,\"./lib/private/setup/symbol-registry\":234,\"./validate-symbol\":236,d:161,\"ext/global-this\":242}],236:[function(t,e,r){\"use strict\";var n=t(\"./is-symbol\");e.exports=function(t){if(!n(t))throw new TypeError(t+\" is not a symbol\");return t}},{\"./is-symbol\":231}],237:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?WeakMap:t(\"./polyfill\")},{\"./is-implemented\":238,\"./polyfill\":240}],238:[function(t,e,r){\"use strict\";e.exports=function(){var t,e;if(\"function\"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},\"one\"],[{},\"two\"],[{},\"three\"]])}catch(t){return!1}return\"[object WeakMap]\"===String(t)&&(\"function\"==typeof t.set&&(t.set({},1)===t&&(\"function\"==typeof t.delete&&(\"function\"==typeof t.has&&\"one\"===t.get(e)))))}},{}],239:[function(t,e,r){\"use strict\";e.exports=\"function\"==typeof WeakMap&&\"[object WeakMap]\"===Object.prototype.toString.call(new WeakMap)},{}],240:[function(t,e,r){\"use strict\";var n,i=t(\"es5-ext/object/is-value\"),a=t(\"es5-ext/object/set-prototype-of\"),o=t(\"es5-ext/object/valid-object\"),s=t(\"es5-ext/object/valid-value\"),l=t(\"es5-ext/string/random-uniq\"),c=t(\"d\"),u=t(\"es6-iterator/get\"),f=t(\"es6-iterator/for-of\"),h=t(\"es6-symbol\").toStringTag,p=t(\"./is-native-implemented\"),d=Array.isArray,m=Object.defineProperty,g=Object.prototype.hasOwnProperty,v=Object.getPrototypeOf;e.exports=n=function(){var t,e=arguments[0];if(!(this instanceof n))throw new TypeError(\"Constructor requires 'new'\");return t=p&&a&&WeakMap!==n?a(new WeakMap,v(this)):this,i(e)&&(d(e)||(e=u(e))),m(t,\"__weakMapData__\",c(\"c\",\"$weakMap$\"+l())),e?(f(e,(function(e){s(e),t.set(e[0],e[1])})),t):t},p&&(a&&a(n,WeakMap),n.prototype=Object.create(WeakMap.prototype,{constructor:c(n)})),Object.defineProperties(n.prototype,{delete:c((function(t){return!!g.call(o(t),this.__weakMapData__)&&(delete t[this.__weakMapData__],!0)})),get:c((function(t){if(g.call(o(t),this.__weakMapData__))return t[this.__weakMapData__]})),has:c((function(t){return g.call(o(t),this.__weakMapData__)})),set:c((function(t,e){return m(o(t),this.__weakMapData__,c(\"c\",e)),this})),toString:c((function(){return\"[object WeakMap]\"}))}),m(n.prototype,h,c(\"c\",\"WeakMap\"))},{\"./is-native-implemented\":239,d:161,\"es5-ext/object/is-value\":205,\"es5-ext/object/set-prototype-of\":211,\"es5-ext/object/valid-object\":215,\"es5-ext/object/valid-value\":216,\"es5-ext/string/random-uniq\":221,\"es6-iterator/for-of\":223,\"es6-iterator/get\":224,\"es6-symbol\":229}],241:[function(t,e,r){var n=function(){if(\"object\"==typeof self&&self)return self;if(\"object\"==typeof window&&window)return window;throw new Error(\"Unable to resolve global `this`\")};e.exports=function(){if(this)return this;try{Object.defineProperty(Object.prototype,\"__global__\",{get:function(){return this},configurable:!0})}catch(t){return n()}try{return __global__||n()}finally{delete Object.prototype.__global__}}()},{}],242:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?globalThis:t(\"./implementation\")},{\"./implementation\":241,\"./is-implemented\":243}],243:[function(t,e,r){\"use strict\";e.exports=function(){return\"object\"==typeof globalThis&&(!!globalThis&&globalThis.Array===Array)}},{}],244:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=e||0,i=r||1;return[[t[12]+t[0],t[13]+t[1],t[14]+t[2],t[15]+t[3]],[t[12]-t[0],t[13]-t[1],t[14]-t[2],t[15]-t[3]],[t[12]+t[4],t[13]+t[5],t[14]+t[6],t[15]+t[7]],[t[12]-t[4],t[13]-t[5],t[14]-t[6],t[15]-t[7]],[n*t[12]+t[8],n*t[13]+t[9],n*t[14]+t[10],n*t[15]+t[11]],[i*t[12]-t[8],i*t[13]-t[9],i*t[14]-t[10],i*t[15]-t[11]]]}},{}],245:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\");e.exports=function(t){var e=typeof t;if(\"string\"===e){var r=t;if(0===(t=+t)&&n(r))return!1}else if(\"number\"!==e)return!1;return t-t<1}},{\"is-string-blank\":454}],246:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 0:return new o([0],[0],0);case 1:return\"number\"==typeof t?new o(n=l(t),n,0):new o(t,l(t.length),0);case 2:if(\"number\"==typeof e){var n=l(t.length);return new o(t,n,+e)}r=0;case 3:if(t.length!==e.length)throw new Error(\"state and velocity lengths must match\");return new o(t,e,r)}};var n=t(\"cubic-hermite\"),i=t(\"binary-search-bounds\");function a(t,e,r){return Math.min(e,Math.max(t,r))}function o(t,e,r){this.dimension=t.length,this.bounds=[new Array(this.dimension),new Array(this.dimension)];for(var n=0;n<this.dimension;++n)this.bounds[0][n]=-1/0,this.bounds[1][n]=1/0;this._state=t.slice().reverse(),this._velocity=e.slice().reverse(),this._time=[r],this._scratch=[t.slice(),t.slice(),t.slice(),t.slice(),t.slice()]}var s=o.prototype;function l(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=0;return e}s.flush=function(t){var e=i.gt(this._time,t)-1;e<=0||(this._time.splice(0,e),this._state.splice(0,e*this.dimension),this._velocity.splice(0,e*this.dimension))},s.curve=function(t){var e=this._time,r=e.length,o=i.le(e,t),s=this._scratch[0],l=this._state,c=this._velocity,u=this.dimension,f=this.bounds;if(o<0)for(var h=u-1,p=0;p<u;++p,--h)s[p]=l[h];else if(o>=r-1){h=l.length-1;var d=t-e[r-1];for(p=0;p<u;++p,--h)s[p]=l[h]+d*c[h]}else{h=u*(o+1)-1;var m=e[o],g=e[o+1]-m||1,v=this._scratch[1],y=this._scratch[2],x=this._scratch[3],b=this._scratch[4],_=!0;for(p=0;p<u;++p,--h)v[p]=l[h],x[p]=c[h]*g,y[p]=l[h+u],b[p]=c[h+u]*g,_=_&&v[p]===y[p]&&x[p]===b[p]&&0===x[p];if(_)for(p=0;p<u;++p)s[p]=v[p];else n(v,x,y,b,(t-m)/g,s)}var w=f[0],T=f[1];for(p=0;p<u;++p)s[p]=a(w[p],T[p],s[p]);return s},s.dcurve=function(t){var e=this._time,r=e.length,a=i.le(e,t),o=this._scratch[0],s=this._state,l=this._velocity,c=this.dimension;if(a>=r-1)for(var u=s.length-1,f=(e[r-1],0);f<c;++f,--u)o[f]=l[u];else{u=c*(a+1)-1;var h=e[a],p=e[a+1]-h||1,d=this._scratch[1],m=this._scratch[2],g=this._scratch[3],v=this._scratch[4],y=!0;for(f=0;f<c;++f,--u)d[f]=s[u],g[f]=l[u]*p,m[f]=s[u+c],v[f]=l[u+c]*p,y=y&&d[f]===m[f]&&g[f]===v[f]&&0===g[f];if(y)for(f=0;f<c;++f)o[f]=0;else{n.derivative(d,g,m,v,(t-h)/p,o);for(f=0;f<c;++f)o[f]/=p}}return o},s.lastT=function(){var t=this._time;return t[t.length-1]},s.stable=function(){for(var t=this._velocity,e=t.length,r=this.dimension-1;r>=0;--r)if(t[--e])return!1;return!0},s.jump=function(t){var e=this.lastT(),r=this.dimension;if(!(t<e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],c=s[1];this._time.push(e,t);for(var u=0;u<2;++u)for(var f=0;f<r;++f)n.push(n[o++]),i.push(0);this._time.push(t);for(f=r;f>0;--f)n.push(a(l[f-1],c[f-1],arguments[f])),i.push(0)}},s.push=function(t){var e=this.lastT(),r=this.dimension;if(!(t<e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=t-e,l=this.bounds,c=l[0],u=l[1],f=s>1e-6?1/s:0;this._time.push(t);for(var h=r;h>0;--h){var p=a(c[h-1],u[h-1],arguments[h]);n.push(p),i.push((p-n[o++])*f)}}},s.set=function(t){var e=this.dimension;if(!(t<this.lastT()||arguments.length!==e+1)){var r=this._state,n=this._velocity,i=this.bounds,o=i[0],s=i[1];this._time.push(t);for(var l=e;l>0;--l)r.push(a(o[l-1],s[l-1],arguments[l])),n.push(0)}},s.move=function(t){var e=this.lastT(),r=this.dimension;if(!(t<=e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],c=s[1],u=t-e,f=u>1e-6?1/u:0;this._time.push(t);for(var h=r;h>0;--h){var p=arguments[h];n.push(a(l[h-1],c[h-1],n[o++]+p)),i.push(p*f)}}},s.idle=function(t){var e=this.lastT();if(!(t<e)){var r=this.dimension,n=this._state,i=this._velocity,o=n.length-r,s=this.bounds,l=s[0],c=s[1],u=t-e;this._time.push(t);for(var f=r-1;f>=0;--f)n.push(a(l[f],c[f],n[o]+u*i[o])),i.push(0),o+=1}}},{\"binary-search-bounds\":247,\"cubic-hermite\":156}],247:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a){var o=[\"function \",t,\"(a,l,h,\",n.join(\",\"),\"){\",a?\"\":\"var i=\",r?\"l-1\":\"h+1\",\";while(l<=h){var m=(l+h)>>>1,x=a\",i?\".get(m)\":\"[m]\"];return a?e.indexOf(\"c\")<0?o.push(\";if(x===y){return m}else if(x<=y){\"):o.push(\";var p=c(x,y);if(p===0){return m}else if(p<=0){\"):o.push(\";if(\",e,\"){i=m;\"),r?o.push(\"l=m+1}else{h=m-1}\"):o.push(\"h=m-1}else{l=m+1}\"),o.push(\"}\"),a?o.push(\"return -1};\"):o.push(\"return i};\"),o.join(\"\")}function i(t,e,r,i){return new Function([n(\"A\",\"x\"+t+\"y\",e,[\"y\"],!1,i),n(\"B\",\"x\"+t+\"y\",e,[\"y\"],!0,i),n(\"P\",\"c(x,y)\"+t+\"0\",e,[\"y\",\"c\"],!1,i),n(\"Q\",\"c(x,y)\"+t+\"0\",e,[\"y\",\"c\"],!0,i),\"function dispatchBsearch\",r,\"(a,y,c,l,h){if(a.shape){if(typeof(c)==='function'){return Q(a,(l===undefined)?0:l|0,(h===undefined)?a.shape[0]-1:h|0,y,c)}else{return B(a,(c===undefined)?0:c|0,(l===undefined)?a.shape[0]-1:l|0,y)}}else{if(typeof(c)==='function'){return P(a,(l===undefined)?0:l|0,(h===undefined)?a.length-1:h|0,y,c)}else{return A(a,(c===undefined)?0:c|0,(l===undefined)?a.length-1:l|0,y)}}}return dispatchBsearch\",r].join(\"\"))()}e.exports={ge:i(\">=\",!1,\"GE\"),gt:i(\">\",!1,\"GT\"),lt:i(\"<\",!0,\"LT\"),le:i(\"<=\",!0,\"LE\"),eq:i(\"-\",!0,\"EQ\",!0)}},{}],248:[function(t,e,r){var n=t(\"dtype\");e.exports=function(t,e,r){if(!t)throw new TypeError(\"must specify data as first parameter\");if(r=0|+(r||0),Array.isArray(t)&&t[0]&&\"number\"==typeof t[0][0]){var i,a,o,s,l=t[0].length,c=t.length*l;e&&\"string\"!=typeof e||(e=new(n(e||\"float32\"))(c+r));var u=e.length-r;if(c!==u)throw new Error(\"source length \"+c+\" (\"+l+\"x\"+t.length+\") does not match destination length \"+u);for(i=0,o=r;i<t.length;i++)for(a=0;a<l;a++)e[o++]=null===t[i][a]?NaN:t[i][a]}else if(e&&\"string\"!=typeof e)e.set(t,r);else{var f=n(e||\"float32\");if(Array.isArray(t)||\"array\"===e)for(e=new f(t.length+r),i=0,o=r,s=e.length;o<s;o++,i++)e[o]=null===t[i]?NaN:t[i];else 0===r?e=new f(t):(e=new f(t.length+r)).set(t,r)}return e}},{dtype:180}],249:[function(t,e,r){\"use strict\";var n=t(\"css-font/stringify\"),i=[32,126];e.exports=function(t){var e=(t=t||{}).shape?t.shape:t.canvas?[t.canvas.width,t.canvas.height]:[512,512],r=t.canvas||document.createElement(\"canvas\"),a=t.font,o=\"number\"==typeof t.step?[t.step,t.step]:t.step||[32,32],s=t.chars||i;a&&\"string\"!=typeof a&&(a=n(a));if(Array.isArray(s)){if(2===s.length&&\"number\"==typeof s[0]&&\"number\"==typeof s[1]){for(var l=[],c=s[0],u=0;c<=s[1];c++)l[u++]=String.fromCharCode(c);s=l}}else s=String(s).split(\"\");e=e.slice(),r.width=e[0],r.height=e[1];var f=r.getContext(\"2d\");f.fillStyle=\"#000\",f.fillRect(0,0,r.width,r.height),f.font=a,f.textAlign=\"center\",f.textBaseline=\"middle\",f.fillStyle=\"#fff\";var h=o[0]/2,p=o[1]/2;for(c=0;c<s.length;c++)f.fillText(s[c],h,p),(h+=o[0])>e[0]-o[0]/2&&(h=o[0]/2,p+=o[1]);return r}},{\"css-font/stringify\":153}],250:[function(t,e,r){\"use strict\";function n(t,e){e||(e={}),(\"string\"==typeof t||Array.isArray(t))&&(e.family=t);var r=Array.isArray(e.family)?e.family.join(\", \"):e.family;if(!r)throw Error(\"`family` must be defined\");var s=e.size||e.fontSize||e.em||48,l=e.weight||e.fontWeight||\"\",c=(t=[e.style||e.fontStyle||\"\",l,s].join(\" \")+\"px \"+r,e.origin||\"top\");if(n.cache[r]&&s<=n.cache[r].em)return i(n.cache[r],c);var u=e.canvas||n.canvas,f=u.getContext(\"2d\"),h={upper:void 0!==e.upper?e.upper:\"H\",lower:void 0!==e.lower?e.lower:\"x\",descent:void 0!==e.descent?e.descent:\"p\",ascent:void 0!==e.ascent?e.ascent:\"h\",tittle:void 0!==e.tittle?e.tittle:\"i\",overshoot:void 0!==e.overshoot?e.overshoot:\"O\"},p=Math.ceil(1.5*s);u.height=p,u.width=.5*p,f.font=t;var d={top:0};f.clearRect(0,0,p,p),f.textBaseline=\"top\",f.fillStyle=\"black\",f.fillText(\"H\",0,0);var m=a(f.getImageData(0,0,p,p));f.clearRect(0,0,p,p),f.textBaseline=\"bottom\",f.fillText(\"H\",0,p);var g=a(f.getImageData(0,0,p,p));d.lineHeight=d.bottom=p-g+m,f.clearRect(0,0,p,p),f.textBaseline=\"alphabetic\",f.fillText(\"H\",0,p);var v=p-a(f.getImageData(0,0,p,p))-1+m;d.baseline=d.alphabetic=v,f.clearRect(0,0,p,p),f.textBaseline=\"middle\",f.fillText(\"H\",0,.5*p);var y=a(f.getImageData(0,0,p,p));d.median=d.middle=p-y-1+m-.5*p,f.clearRect(0,0,p,p),f.textBaseline=\"hanging\",f.fillText(\"H\",0,.5*p);var x=a(f.getImageData(0,0,p,p));d.hanging=p-x-1+m-.5*p,f.clearRect(0,0,p,p),f.textBaseline=\"ideographic\",f.fillText(\"H\",0,p);var b=a(f.getImageData(0,0,p,p));if(d.ideographic=p-b-1+m,h.upper&&(f.clearRect(0,0,p,p),f.textBaseline=\"top\",f.fillText(h.upper,0,0),d.upper=a(f.getImageData(0,0,p,p)),d.capHeight=d.baseline-d.upper),h.lower&&(f.clearRect(0,0,p,p),f.textBaseline=\"top\",f.fillText(h.lower,0,0),d.lower=a(f.getImageData(0,0,p,p)),d.xHeight=d.baseline-d.lower),h.tittle&&(f.clearRect(0,0,p,p),f.textBaseline=\"top\",f.fillText(h.tittle,0,0),d.tittle=a(f.getImageData(0,0,p,p))),h.ascent&&(f.clearRect(0,0,p,p),f.textBaseline=\"top\",f.fillText(h.ascent,0,0),d.ascent=a(f.getImageData(0,0,p,p))),h.descent&&(f.clearRect(0,0,p,p),f.textBaseline=\"top\",f.fillText(h.descent,0,0),d.descent=o(f.getImageData(0,0,p,p))),h.overshoot){f.clearRect(0,0,p,p),f.textBaseline=\"top\",f.fillText(h.overshoot,0,0);var _=o(f.getImageData(0,0,p,p));d.overshoot=_-v}for(var w in d)d[w]/=s;return d.em=s,n.cache[r]=d,i(d,c)}function i(t,e){var r={};for(var n in\"string\"==typeof e&&(e=t[e]),t)\"em\"!==n&&(r[n]=t[n]-e);return r}function a(t){for(var e=t.height,r=t.data,n=3;n<r.length;n+=4)if(0!==r[n])return Math.floor(.25*(n-3)/e)}function o(t){for(var e=t.height,r=t.data,n=r.length-1;n>0;n-=4)if(0!==r[n])return Math.floor(.25*(n-3)/e)}e.exports=n,n.canvas=document.createElement(\"canvas\"),n.cache={}},{}],251:[function(t,e,r){\"use strict\";e.exports=function(t){return new s(t||m,null)};function n(t,e,r,n,i,a){this._color=t,this.key=e,this.value=r,this.left=n,this.right=i,this._count=a}function i(t){return new n(t._color,t.key,t.value,t.left,t.right,t._count)}function a(t,e){return new n(t,e.key,e.value,e.left,e.right,e._count)}function o(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function s(t,e){this._compare=t,this.root=e}var l=s.prototype;function c(t,e){var r;if(e.left&&(r=c(t,e.left)))return r;return(r=t(e.key,e.value))||(e.right?c(t,e.right):void 0)}function u(t,e,r,n){if(e(t,n.key)<=0){var i;if(n.left)if(i=u(t,e,r,n.left))return i;if(i=r(n.key,n.value))return i}if(n.right)return u(t,e,r,n.right)}function f(t,e,r,n,i){var a,o=r(t,i.key),s=r(e,i.key);if(o<=0){if(i.left&&(a=f(t,e,r,n,i.left)))return a;if(s>0&&(a=n(i.key,i.value)))return a}if(s>0&&i.right)return f(t,e,r,n,i.right)}function h(t,e){this.tree=t,this._stack=e}Object.defineProperty(l,\"keys\",{get:function(){var t=[];return this.forEach((function(e,r){t.push(e)})),t}}),Object.defineProperty(l,\"values\",{get:function(){var t=[];return this.forEach((function(e,r){t.push(r)})),t}}),Object.defineProperty(l,\"length\",{get:function(){return this.root?this.root._count:0}}),l.insert=function(t,e){for(var r=this._compare,i=this.root,l=[],c=[];i;){var u=r(t,i.key);l.push(i),c.push(u),i=u<=0?i.left:i.right}l.push(new n(0,t,e,null,null,1));for(var f=l.length-2;f>=0;--f){i=l[f];c[f]<=0?l[f]=new n(i._color,i.key,i.value,l[f+1],i.right,i._count+1):l[f]=new n(i._color,i.key,i.value,i.left,l[f+1],i._count+1)}for(f=l.length-1;f>1;--f){var h=l[f-1];i=l[f];if(1===h._color||1===i._color)break;var p=l[f-2];if(p.left===h)if(h.left===i){if(!(d=p.right)||0!==d._color){if(p._color=0,p.left=h.right,h._color=1,h.right=p,l[f-2]=h,l[f-1]=i,o(p),o(h),f>=3)(m=l[f-3]).left===p?m.left=h:m.right=h;break}h._color=1,p.right=a(1,d),p._color=0,f-=1}else{if(!(d=p.right)||0!==d._color){if(h.right=i.left,p._color=0,p.left=i.right,i._color=1,i.left=h,i.right=p,l[f-2]=i,l[f-1]=h,o(p),o(h),o(i),f>=3)(m=l[f-3]).left===p?m.left=i:m.right=i;break}h._color=1,p.right=a(1,d),p._color=0,f-=1}else if(h.right===i){if(!(d=p.left)||0!==d._color){if(p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=i,o(p),o(h),f>=3)(m=l[f-3]).right===p?m.right=h:m.left=h;break}h._color=1,p.left=a(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var m;if(h.left=i.right,p._color=0,p.right=i.left,i._color=1,i.right=h,i.left=p,l[f-2]=i,l[f-1]=h,o(p),o(h),o(i),f>=3)(m=l[f-3]).right===p?m.right=i:m.left=i;break}h._color=1,p.left=a(1,d),p._color=0,f-=1}}return l[0]._color=1,new s(r,l[0])},l.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return c(t,this.root);case 2:return u(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return f(e,r,this._compare,t,this.root)}},Object.defineProperty(l,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new h(this,t)}}),Object.defineProperty(l,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new h(this,t)}}),l.at=function(t){if(t<0)return new h(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new h(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new h(this,[])},l.ge=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.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}})},{}],252:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function a(t){if(t<0)return Number(\"0/0\");for(var e=i[0],r=i.length-1;r>0;--r)e+=i[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(a(e));e-=1;for(var r=n[0],i=1;i<9;i++)r+=n[i]/(e+i);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=a},{}],253:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(\"webgl\")&&a.push(\"experimental-\"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],254:[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,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=f[M],this.lastCubeProps.axis[M]=h[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,f,h);e=this.gl;var S,E=m;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=h[M]:E[M]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(M=0;M<3;++M){var L=[0,0,0];h[M]>0?L[M]=a[1][M]:L[M]=a[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,I=(M+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=(M+1+C)%3,I=(M+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(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var O=c(v,A[M].primalMinor),z=c(y,A[M].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[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*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(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(C=0;C<3;++C)q[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=k*U[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(a[0][M]+a[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[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\":255,\"./lib/cube.js\":256,\"./lib/lines.js\":257,\"./lib/text.js\":259,\"./lib/ticks.js\":260}],255:[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\":258,\"gl-buffer\":263,\"gl-vao\":357}],256:[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 M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<M)+(C<<A)+(1-C<<S),I=O+(1-C<<A)+(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<<M);else{for(C=0;C<2;++C){P=(O=C<<M)+(C<<A)+(1-C<<S),I=O+(1-C<<A)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<A)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<M)}}}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,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-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\":104,\"gl-mat4/multiply\":297,\"robust-orientation\":544,\"split-polygon\":563}],257:[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\":258,\"gl-buffer\":263,\"gl-vao\":357}],258:[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\":335,glslify:261}],259:[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\":258,_process:524,\"gl-buffer\":263,\"gl-vao\":357,\"vectorize-text\":619}],260:[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}},{}],261:[function(t,e,r){e.exports=function(t){\"string\"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||\"\");return r.push(t[n]),r.join(\"\")}},{}],262:[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 M=(k+1)%3,A=(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[M]=x[L^w][M];for(var C=0;C<2;++C)S[A]=x[C^L^w][A],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){A=E[L];var I=d(g,u,A,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,A[C]),_[C].hi=Math.max(_[C].hi,A[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\":256,\"extract-frustum-planes\":244,\"gl-mat4/multiply\":297,\"gl-mat4/transpose\":308,\"gl-vec4/transformMat4\":428,\"split-polygon\":563}],263:[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:479,\"ndarray-ops\":474,\"typedarray-pool\":613}],264:[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 M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),a.coneScale=M;y=0;for(var A=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,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),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\":265,\"./lib/shaders\":266,\"gl-vec3\":376}],265:[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 M,A=h;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(M[0],M[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:137,\"gl-buffer\":263,\"gl-mat4/invert\":295,\"gl-mat4/multiply\":297,\"gl-shader\":335,\"gl-texture2d\":352,\"gl-vao\":357,ndarray:479}],266:[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:438}],267:[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_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],268:[function(t,e,r){var n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":267}],269:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=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.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var m;if(p[0][s]<0)(m=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s);if(p[1][s]>0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":271,\"gl-buffer\":263,\"gl-vao\":357}],270:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],271:[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, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\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 float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":335,glslify:270}],272:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;\"depth\"in n&&(m=!!n.depth);var g=!1;\"stencil\"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return 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\":352}],273:[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\":72,\"gl-constants/lookup\":268,\"glsl-shader-name\":430,\"sprintf-js\":564}],274:[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),M=a.mallocUint8(2*w),A=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],q=s[l?(C+V)*b+(O+U):C*b+O],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===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=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,X=4*(H+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),a.free(k),a.free(T),a.free(M),a.free(A)},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\":275,\"binary-search-bounds\":103,\"gl-buffer\":263,\"gl-shader\":335,\"iota-array\":447,\"typedarray-pool\":613}],275:[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:438}],276:[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\":335,glslify:278}],277:[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 M=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)M.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?M.set(e,0,0,0):M.set(e,0,0,255)}this.texture.setPixels(M)}},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\":276,\"binary-search-bounds\":103,\"gl-buffer\":263,\"gl-texture2d\":352,\"gl-vao\":357,ndarray:479}],278:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],279:[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];return t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],280:[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}},{}],281:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],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],t}},{}],282:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);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}},{}],283:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],284:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o=r[0],s=r[1],l=r[2],c=Math.sqrt(o*o+s*s+l*l);if(Math.abs(c)<1e-6)return null;return o*=c=1/c,s*=c,l*=c,n=Math.sin(e),i=Math.cos(e),a=1-i,t[0]=o*o*a+i,t[1]=s*o*a+l*n,t[2]=l*o*a-s*n,t[3]=0,t[4]=o*s*a-l*n,t[5]=s*s*a+i,t[6]=l*s*a+o*n,t[7]=0,t[8]=o*l*a+s*n,t[9]=s*l*a-o*n,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return 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}},{}],287:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],288:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],289:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],291:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,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}},{}],292:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],293:[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}},{}],294:[function(t,e,r){e.exports={create:t(\"./create\"),clone:t(\"./clone\"),copy:t(\"./copy\"),identity:t(\"./identity\"),transpose:t(\"./transpose\"),invert:t(\"./invert\"),adjoint:t(\"./adjoint\"),determinant:t(\"./determinant\"),multiply:t(\"./multiply\"),translate:t(\"./translate\"),scale:t(\"./scale\"),rotate:t(\"./rotate\"),rotateX:t(\"./rotateX\"),rotateY:t(\"./rotateY\"),rotateZ:t(\"./rotateZ\"),fromRotation:t(\"./fromRotation\"),fromRotationTranslation:t(\"./fromRotationTranslation\"),fromScaling:t(\"./fromScaling\"),fromTranslation:t(\"./fromTranslation\"),fromXRotation:t(\"./fromXRotation\"),fromYRotation:t(\"./fromYRotation\"),fromZRotation:t(\"./fromZRotation\"),fromQuat:t(\"./fromQuat\"),frustum:t(\"./frustum\"),perspective:t(\"./perspective\"),perspectiveFromFieldOfView:t(\"./perspectiveFromFieldOfView\"),ortho:t(\"./ortho\"),lookAt:t(\"./lookAt\"),str:t(\"./str\")}},{\"./adjoint\":279,\"./clone\":280,\"./copy\":281,\"./create\":282,\"./determinant\":283,\"./fromQuat\":284,\"./fromRotation\":285,\"./fromRotationTranslation\":286,\"./fromScaling\":287,\"./fromTranslation\":288,\"./fromXRotation\":289,\"./fromYRotation\":290,\"./fromZRotation\":291,\"./frustum\":292,\"./identity\":293,\"./invert\":295,\"./lookAt\":296,\"./multiply\":297,\"./ortho\":298,\"./perspective\":299,\"./perspectiveFromFieldOfView\":300,\"./rotate\":301,\"./rotateX\":302,\"./rotateY\":303,\"./rotateZ\":304,\"./scale\":305,\"./str\":306,\"./translate\":307,\"./transpose\":308}],295:[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,M=u*g-h*d,A=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+_*A-w*M+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*A-o*L-c*M)*C,t[5]=(r*L-i*A+a*M)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*A+c*k)*C,t[9]=(n*A-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*M-o*S-l*k)*C,t[13]=(r*S-n*M+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],296:[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\":293}],297:[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}},{}],298:[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}},{}],299:[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}},{}],300:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],301:[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,M,A,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,M=E*C*o+L*i,A=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*M+f*A+m*S,t[9]=l*M+h*A+g*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],302:[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}},{}],303:[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}},{}],304:[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}},{}],305:[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}},{}],306:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],307:[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}},{}],308:[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}},{}],309:[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:85,\"polytope-closest-point/lib/closest_point_2d.js\":508}],310:[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:438}],311:[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,M,A,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=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,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 M(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 A(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*M(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,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),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,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,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=A(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),M=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,M,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":309,\"./lib/shaders\":310,colormap:137,\"gl-buffer\":263,\"gl-mat4/invert\":295,\"gl-mat4/multiply\":297,\"gl-shader\":335,\"gl-texture2d\":352,\"gl-vao\":357,ndarray:479,normals:482,\"simplicial-complex-contour\":553,\"typedarray-pool\":613}],312:[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\":315,\"gl-buffer\":263,\"gl-shader\":335}],313:[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,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}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\":315,\"binary-search-bounds\":103,\"gl-buffer\":263,\"gl-shader\":335}],314:[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\":315,\"gl-buffer\":263,\"gl-shader\":335}],315:[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:317}],316:[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]),M=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 A=2/h[2+(1^t)]-h[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*m[t],k<M&&i[M]>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[M]-i[k]))),y[t]&&T&&(u[1^t]-=A*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]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*m[t+2],k<M&&i[M]>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[M]-i[k]))),y[t+2]&&T&&(u[1^t]+=A*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\":315,\"binary-search-bounds\":103,\"gl-buffer\":263,\"gl-shader\":335,\"text-cache\":592}],317:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],318:[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\":312,\"./lib/grid\":313,\"./lib/line\":314,\"./lib/text\":316,\"gl-select-static\":334}],319:[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,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(M,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,f*(Math.exp(A)-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\":55,\"has-passive-events\":440,\"mouse-change\":466,\"mouse-event-offset\":467,\"mouse-wheel\":469,\"right-now\":538}],320:[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\":335,glslify:321}],321:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],322:[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||{},M=i(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),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:M,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 q(){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=M,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\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.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,M=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\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[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);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.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(!q()){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 A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=M,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.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),M.isTransparent()&&M.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\":319,\"./lib/shader\":320,\"a-big-triangle\":70,\"gl-axes3d\":254,\"gl-axes3d/properties\":262,\"gl-fbo\":272,\"gl-mat4/ortho\":298,\"gl-mat4/perspective\":299,\"gl-select-static\":334,\"gl-spikes3d\":345,\"is-mobile\":451,\"mouse-change\":466}],323:[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:438}],324:[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\":323,\"gl-buffer\":263,\"gl-shader\":335,\"typedarray-pool\":613}],325:[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}},{}],326:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],327:[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\":619}],328:[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\":335,glslify:329}],329:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],330:[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],M=[[0,0,0],[0,0,0]];function A(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=M,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=A(x),O=A(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,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.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,M=N.lines,A=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 q=0;Array.isArray(g)?q=n<g.length?+g[n]:0:g&&(q=+g);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+H*tt[1]+X[1]),O+=1}for(Z=M.edges,J=M.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":326,\"./lib/glyphs\":327,\"./lib/shaders\":328,\"gl-buffer\":263,\"gl-mat4/multiply\":297,\"gl-vao\":357,\"is-string-blank\":454,\"typedarray-pool\":613}],331:[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:332}],332:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],333:[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\":331,\"gl-buffer\":263,\"gl-shader\":335}],334:[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\":104,\"gl-fbo\":272,ndarray:479,\"typedarray-pool\":613}],335:[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 t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},u.update=function(t,e,r,c){if(!e||1===arguments.length){var u=t;t=u.vertex,e=u.fragment,r=u.uniforms,c=u.attributes}var h=this,p=h.gl,d=h._vref;h._vref=o.shader(p,p.VERTEX_SHADER,t),d&&d.dispose(),h.vertShader=h._vref.shader;var m=this._fref;if(h._fref=o.shader(p,p.FRAGMENT_SHADER,e),m&&m.dispose(),h.fragShader=h._fref.shader,!r||!c){var g=p.createProgram();if(p.attachShader(g,h.fragShader),p.attachShader(g,h.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var v=p.getProgramInfoLog(g);throw new l(v,\"Error linking program:\"+v)}r=r||s.uniforms(p,g),c=c||s.attributes(p,g),p.deleteProgram(g)}(c=c.slice()).sort(f);var y,x=[],b=[],_=[];for(y=0;y<c.length;++y){var w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.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 A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}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 a.update(e,r,n,i),a}},{\"./lib/GLError\":336,\"./lib/create-attributes\":337,\"./lib/create-uniforms\":338,\"./lib/reflect\":339,\"./lib/runtime-reflect\":340,\"./lib/shader-cache\":341}],336:[function(t,e,r){function n(t,e,r){this.shortMessage=e||\"\",this.longMessage=r||\"\",this.rawError=t||\"\",this.message=\"gl-shader: \"+(e||t||\"\")+(r?\"\\n\"+r:\"\"),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name=\"GLError\",n.prototype.constructor=n,e.exports=n},{}],337:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i){for(var a={},l=0,c=r.length;l<c;++l){var u=r[l],f=u.name,h=u.type,p=u.locations;switch(h){case\"bool\":case\"int\":case\"float\":o(t,e,p[0],i,1,a,f);break;default:if(h.indexOf(\"vec\")>=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\"\",\"Invalid data type for attribute \"+f+\": \"+h);o(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf(\"mat\")>=0))throw new n(\"\",\"Unknown data type for attribute \"+f+\": \"+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\"\",\"Invalid data type for attribute \"+f+\": \"+h);s(t,e,p,i,d,a,f)}}}return a};var n=t(\"./GLError\");function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;function o(t,e,r,n,a,o,s){for(var l=[\"gl\",\"v\"],c=[],u=0;u<a;++u)l.push(\"x\"+u),c.push(\"x\"+u);l.push(\"if(x0.length===void 0){return gl.vertexAttrib\"+a+\"f(v,\"+c.join()+\")}else{return gl.vertexAttrib\"+a+\"fv(v,x0)}\");var f=Function.apply(null,l),h=new i(t,e,r,n,a,f);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(n[r]),f(t,n[r],e),e},get:function(){return h},enumerable:!0})}function s(t,e,r,n,i,a,s){for(var l=new Array(i),c=new Array(i),u=0;u<i;++u)o(t,e,r[u],n,i,l,u),c[u]=l[u];Object.defineProperty(l,\"location\",{set:function(t){if(Array.isArray(t))for(var e=0;e<i;++e)c[e].location=t[e];else for(e=0;e<i;++e)c[e].location=t+e;return t},get:function(){for(var t=new Array(i),e=0;e<i;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,a,o,s){e=e||t.FLOAT,a=!!a,o=o||i*i,s=s||0;for(var l=0;l<i;++l){var c=n[r[l]];t.vertexAttribPointer(c,i,e,a,o,s+l*i),t.enableVertexAttribArray(c)}};var f=new Array(i),h=t[\"vertexAttrib\"+i+\"fv\"];Object.defineProperty(a,s,{set:function(e){for(var a=0;a<i;++a){var o=n[r[a]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))h.call(t,o,e[a]);else{for(var s=0;s<i;++s)f[s]=e[i*a+s];h.call(t,o,f)}}return e},get:function(){return l},enumerable:!0})}a.pointer=function(t,e,r,n){var i=this._gl,a=this._locations[this._index];i.vertexAttribPointer(a,this._dimension,t||i.FLOAT,!!e,r||0,n||0),i.enableVertexAttribArray(a)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,\"location\",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}})},{\"./GLError\":336}],338:[function(t,e,r){\"use strict\";var n=t(\"./reflect\"),i=t(\"./GLError\");function a(t){return new Function(\"y\",\"return function(){return y}\")(t)}function o(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=e;return r}e.exports=function(t,e,r,s){function l(t,e,r){switch(r){case\"bool\":case\"int\":case\"sampler2D\":case\"samplerCube\":return\"gl.uniform1i(locations[\"+e+\"],obj\"+t+\")\";case\"float\":return\"gl.uniform1f(locations[\"+e+\"],obj\"+t+\")\";default:var n=r.indexOf(\"vec\");if(!(0<=n&&n<=1&&r.length===4+n)){if(0===r.indexOf(\"mat\")&&4===r.length){var a;if((a=r.charCodeAt(r.length-1)-48)<2||a>4)throw new i(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+r);return\"gl.uniformMatrix\"+a+\"fv(locations[\"+e+\"],false,obj\"+t+\")\"}throw new i(\"\",\"Unknown uniform data type for \"+name+\": \"+r)}if((a=r.charCodeAt(r.length-1)-48)<2||a>4)throw new i(\"\",\"Invalid data type\");switch(r.charAt(0)){case\"b\":case\"i\":return\"gl.uniform\"+a+\"iv(locations[\"+e+\"],obj\"+t+\")\";case\"v\":return\"gl.uniform\"+a+\"fv(locations[\"+e+\"],obj\"+t+\")\";default:throw new i(\"\",\"Unrecognized data type for vector \"+name+\": \"+r)}}}function c(e){for(var n=[\"return function updateProperty(obj){\"],i=function t(e,r){if(\"object\"!=typeof r)return[[e,r]];var n=[];for(var i in r){var a=r[i],o=e;parseInt(i)+\"\"===i?o+=\"[\"+i+\"]\":o+=\".\"+i,\"object\"==typeof a?n.push.apply(n,t(o,a)):n.push([o,a])}return n}(\"\",e),a=0;a<i.length;++a){var o=i[a],c=o[0],u=o[1];s[u]&&n.push(l(c,u,r[u].type))}return n.push(\"return obj}\"),new Function(\"gl\",\"locations\",n.join(\"\\n\"))(t,s)}function u(n,l,u){if(\"object\"==typeof u){var h=f(u);Object.defineProperty(n,l,{get:a(h),set:c(u),enumerable:!0,configurable:!1})}else s[u]?Object.defineProperty(n,l,{get:(p=u,new Function(\"gl\",\"wrapper\",\"locations\",\"return function(){return gl.getUniform(wrapper.program,locations[\"+p+\"])}\")(t,e,s)),set:c(u),enumerable:!0,configurable:!1}):n[l]=function(t){switch(t){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":case\"float\":return 0;default:var e=t.indexOf(\"vec\");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid data type\");return\"b\"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf(\"mat\")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+t);return o(r*r,0)}throw new i(\"\",\"Unknown uniform data type for \"+name+\": \"+t)}}(r[u].type);var p}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r<t.length;++r)u(e,r,t[r])}else for(var n in e={},t)u(e,n,t[n]);return e}var h=n(r,!0);return{get:a(f(h)),set:c(h),enumerable:!0,configurable:!0}}},{\"./GLError\":336,\"./reflect\":339}],339:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r={},n=0;n<t.length;++n)for(var i=t[n].name.split(\".\"),a=r,o=0;o<i.length;++o){var s=i[o].split(\"[\");if(s.length>1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l<s.length;++l){var c=parseInt(s[l]);l<s.length-1||o<i.length-1?(c in a||(l<s.length-1?a[c]=[]:a[c]={}),a=a[c]):a[c]=e?n:t[n].type}}else o<i.length-1?(s[0]in a||(a[s[0]]={}),a=a[s[0]]):a[s[0]]=e?n:t[n].type}return r}},{}],340:[function(t,e,r){\"use strict\";r.uniforms=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),n=[],i=0;i<r;++i){var o=t.getActiveUniform(e,i);if(o){var s=a(t,o.type);if(o.size>1)for(var l=0;l<o.size;++l)n.push({name:o.name.replace(\"[0]\",\"[\"+l+\"]\"),type:s});else n.push({name:o.name,type:s})}}return n},r.attributes=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),n=[],i=0;i<r;++i){var o=t.getActiveAttrib(e,i);o&&n.push({name:o.name,type:a(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},i=null;function a(t,e){if(!i){var r=Object.keys(n);i={};for(var a=0;a<r.length;++a){var o=r[a];i[t[o]]=n[o]}}return i[e]}},{}],341:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,i){return u(t).getProgram(e,r,n,i)};var n=t(\"./GLError\"),i=t(\"gl-format-compiler-error\"),a=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,i,a,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=a,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n<i;++n){var a=t.programs[r[n]];a&&(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=a.get(t);return e||(e=new l(t),a.set(t,e)),e}c.getShaderReference=function(t,e){var r=this.gl,a=this.shaders[t===r.FRAGMENT_SHADER|0],l=a[e];if(l&&r.isShader(l.shader))l.count+=1;else{var c=function(t,e,r){var a=t.createShader(e);if(t.shaderSource(a,r),t.compileShader(a),!t.getShaderParameter(a,t.COMPILE_STATUS)){var o=t.getShaderInfoLog(a);try{var s=i(o,r,e)}catch(t){throw console.warn(\"Failed to format compiler error: \"+t),new n(o,\"Error compiling shader:\\n\"+o)}throw new n(o,s.short,s.long)}return a}(r,t,e);l=a[e]=new s(o++,e,t,c,[],1,this)}return l},c.getProgram=function(t,e,r,i){var a=[t.id,e.id,r.join(\":\"),i.join(\":\")].join(\"@\"),o=this.programs[a];return o&&this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s<i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,\"Error linking program: \"+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{\"./GLError\":336,\"gl-format-compiler-error\":273,\"weakmap-shim\":624}],342:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}e.exports=function(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r};var i=n.prototype;i.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map((function(t){return t.slice()})),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},i.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],343:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],344:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":335,glslify:343}],345:[function(t,e,r){\"use strict\";var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var 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\":344,\"gl-buffer\":263,\"gl-vao\":357}],346:[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:347}],347:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],348:[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 M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=h;h=p,p=A;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,M,A=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-A)/(S-A),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,M=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,M=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,M=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,M=x*h*f;break;case 1:b=d,_=v,k=g*f,M=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,M=x*f*h}var z=i[b+w+k],D=i[b+w+M],R=i[b+T+k],F=i[b+T+M],B=i[_+w+k],N=i[_+w+M],j=i[_+T+k],U=i[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,M=k*k,A=1,S=0,E=r.length;E>1&&(A=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>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-M>-1e-4*M){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,A);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*A/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\":346,\"gl-cone3d\":264,\"gl-vec3\":376,\"gl-vec4\":412}],349:[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\":335,glslify:438}],350:[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 A(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 M(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 A(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 M([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=A.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),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,L=A*w-S*_,C=_*M-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 q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+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]),q=0;q<2;++q){var vt=q?ht:1-ht;if(W=0|Math.min(Math.max(ft+q,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(H>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,M=+x[1],A=0|M,S=0|Math.min(A+1,i[1]),E=M-A,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,A)+P*f.get(_,S)+I*f.get(w,A)+O*f.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+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\":349,\"binary-search-bounds\":103,\"bit-twiddle\":104,colormap:137,\"gl-buffer\":263,\"gl-mat4/invert\":295,\"gl-mat4/multiply\":297,\"gl-texture2d\":352,\"gl-vao\":357,ndarray:479,\"ndarray-gradient\":472,\"ndarray-ops\":474,\"ndarray-pack\":475,\"surface-nets\":587,\"typedarray-pool\":613}],351:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),m=t(\"detect-kerning\"),g=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\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\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\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 sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\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),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),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),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)k[A++]=t.position[M][0],k[A++]=t.position[M][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 q=D.kerning[N+B];q&&(V+=.001*q)}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],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}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.normalViewport=!1,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\":104,\"color-normalize\":131,\"css-font\":150,\"detect-kerning\":177,\"es6-weak-map\":237,\"flatten-vertex-data\":248,\"font-atlas\":249,\"font-measure\":250,\"gl-util/context\":353,\"is-plain-obj\":453,\"object-assign\":483,\"parse-rect\":488,\"parse-unit\":490,\"pick-by-alias\":494,regl:536,\"to-px\":596,\"typedarray-pool\":613}],352:[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 e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var h=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,g=0,v=m(p,u.stride.slice());\"float32\"===h?d=t.FLOAT:\"float64\"===h?(d=t.FLOAT,v=!1,h=\"float32\"):\"uint8\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,h=\"uint8\");if(2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s);if(g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:479,\"ndarray-ops\":474,\"typedarray-pool\":613}],353:[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 e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function a(t){return\"function\"==typeof t.getContext&&\"width\"in t&&\"height\"in t}function o(){var t=document.createElement(\"canvas\");return t.style.position=\"absolute\",t.style.top=0,t.style.left=0,t}e.exports=function(t){var e;if(t?\"string\"==typeof t&&(t={container:t}):t={},a(t)?t={container:t}:t=\"string\"==typeof(e=t).nodeName&&\"function\"==typeof e.appendChild&&\"function\"==typeof e.getBoundingClientRect?{container:t}:function(t){return\"function\"==typeof t.drawArrays||\"function\"==typeof t.drawElements}(t)?{gl:t}:n(t,{container:\"container target element el canvas holder parent parentNode wrapper use ref root node\",gl:\"gl context webgl glContext\",attrs:\"attributes attrs contextAttributes\",pixelRatio:\"pixelRatio pxRatio px ratio pxratio pixelratio\",width:\"w width\",height:\"h height\"},!0),t.pixelRatio||(t.pixelRatio=r.pixelRatio||1),t.gl)return t.gl;if(t.canvas&&(t.container=t.canvas.parentNode),t.container){if(\"string\"==typeof t.container){var s=document.querySelector(t.container);if(!s)throw Error(\"Element \"+t.container+\" is not found\");t.container=s}a(t.container)?(t.canvas=t.container,t.container=t.canvas.parentNode):t.canvas||(t.canvas=o(),t.container.appendChild(t.canvas),i(t))}else if(!t.canvas){if(\"undefined\"==typeof document)throw Error(\"Not DOM environment. Use headless-gl.\");t.container=document.body||document.documentElement,t.canvas=o(),t.container.appendChild(t.canvas),i(t)}if(!t.gl)try{t.gl=t.canvas.getContext(\"webgl\",t.attrs)}catch(e){try{t.gl=t.canvas.getContext(\"experimental-webgl\",t.attrs)}catch(e){t.gl=t.canvas.getContext(\"webgl-experimental\",t.attrs)}}return t.gl}}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"pick-by-alias\":494}],354:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error(\"gl-vao: Too many vertex attributes\");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,c=!!a.normalized,u=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,c,u,f)}else{if(\"number\"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(\"gl-vao: Invalid vertex attribute\");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else{t.bindBuffer(t.ARRAY_BUFFER,null);for(i=0;i<n;++i)t.disableVertexAttribArray(i)}}},{}],355:[function(t,e,r){\"use strict\";var n=t(\"./do-bind.js\");function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t){return new i(t)}},{\"./do-bind.js\":354}],356:[function(t,e,r){\"use strict\";var n=t(\"./do-bind.js\");function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function a(t,e,r){this.gl=t,this._ext=e,this.handle=r,this._attribs=[],this._useElements=!1,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(t){switch(this.dimension){case 1:t.vertexAttrib1f(this.location,this.a);break;case 2:t.vertexAttrib2f(this.location,this.a,this.b);break;case 3:t.vertexAttrib3f(this.location,this.a,this.b,this.c);break;case 4:t.vertexAttrib4f(this.location,this.a,this.b,this.c,this.d)}},a.prototype.bind=function(){this._ext.bindVertexArrayOES(this.handle);for(var t=0;t<this._attribs.length;++t)this._attribs[t].bind(this.gl)},a.prototype.unbind=function(){this._ext.bindVertexArrayOES(null)},a.prototype.dispose=function(){this._ext.deleteVertexArrayOES(this.handle)},a.prototype.update=function(t,e,r){if(this.bind(),n(this.gl,e,t),this.unbind(),this._attribs.length=0,t)for(var a=0;a<t.length;++a){var o=t[a];\"number\"==typeof o?this._attribs.push(new i(a,1,o)):Array.isArray(o)&&this._attribs.push(new i(a,o.length,o[0],o[1],o[2],o[3]))}this._useElements=!!e,this._elementsType=r||this.gl.UNSIGNED_SHORT},a.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._useElements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t,e){return new a(t,e,e.createVertexArrayOES())}},{\"./do-bind.js\":354}],357:[function(t,e,r){\"use strict\";var n=t(\"./lib/vao-native.js\"),i=t(\"./lib/vao-emulated.js\");function a(t){this.bindVertexArrayOES=t.bindVertexArray.bind(t),this.createVertexArrayOES=t.createVertexArray.bind(t),this.deleteVertexArrayOES=t.deleteVertexArray.bind(t)}e.exports=function(t,e,r,o){var s,l=t.createVertexArray?new a(t):t.getExtension(\"OES_vertex_array_object\");return(s=l?n(t,l):i(t)).update(e,r,o),s}},{\"./lib/vao-emulated.js\":355,\"./lib/vao-native.js\":356}],358:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}},{}],359:[function(t,e,r){e.exports=function(t,e){var r=n(t[0],t[1],t[2]),o=n(e[0],e[1],e[2]);i(r,r),i(o,o);var s=a(r,o);return s>1?0:Math.acos(s)};var n=t(\"./fromValues\"),i=t(\"./normalize\"),a=t(\"./dot\")},{\"./dot\":369,\"./fromValues\":375,\"./normalize\":386}],360:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.ceil(e[0]),t[1]=Math.ceil(e[1]),t[2]=Math.ceil(e[2]),t}},{}],361:[function(t,e,r){e.exports=function(t){var e=new Float32Array(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e}},{}],362:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}},{}],363:[function(t,e,r){e.exports=function(){var t=new Float32Array(3);return t[0]=0,t[1]=0,t[2]=0,t}},{}],364:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}},{}],365:[function(t,e,r){e.exports=t(\"./distance\")},{\"./distance\":366}],366:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2];return Math.sqrt(r*r+n*n+i*i)}},{}],367:[function(t,e,r){e.exports=t(\"./divide\")},{\"./divide\":368}],368:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]/r[0],t[1]=e[1]/r[1],t[2]=e[2]/r[2],t}},{}],369:[function(t,e,r){e.exports=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]}},{}],370:[function(t,e,r){e.exports=1e-6},{}],371:[function(t,e,r){e.exports=function(t,e){var r=t[0],i=t[1],a=t[2],o=e[0],s=e[1],l=e[2];return Math.abs(r-o)<=n*Math.max(1,Math.abs(r),Math.abs(o))&&Math.abs(i-s)<=n*Math.max(1,Math.abs(i),Math.abs(s))&&Math.abs(a-l)<=n*Math.max(1,Math.abs(a),Math.abs(l))};var n=t(\"./epsilon\")},{\"./epsilon\":370}],372:[function(t,e,r){e.exports=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]}},{}],373:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.floor(e[0]),t[1]=Math.floor(e[1]),t[2]=Math.floor(e[2]),t}},{}],374:[function(t,e,r){e.exports=function(t,e,r,i,a,o){var s,l;e||(e=3);r||(r=0);l=i?Math.min(i*e+r,t.length):t.length;for(s=r;s<l;s+=e)n[0]=t[s],n[1]=t[s+1],n[2]=t[s+2],a(n,n,o),t[s]=n[0],t[s+1]=n[1],t[s+2]=n[2];return t};var n=t(\"./create\")()},{\"./create\":363}],375:[function(t,e,r){e.exports=function(t,e,r){var n=new Float32Array(3);return n[0]=t,n[1]=e,n[2]=r,n}},{}],376:[function(t,e,r){e.exports={EPSILON:t(\"./epsilon\"),create:t(\"./create\"),clone:t(\"./clone\"),angle:t(\"./angle\"),fromValues:t(\"./fromValues\"),copy:t(\"./copy\"),set:t(\"./set\"),equals:t(\"./equals\"),exactEquals:t(\"./exactEquals\"),add:t(\"./add\"),subtract:t(\"./subtract\"),sub:t(\"./sub\"),multiply:t(\"./multiply\"),mul:t(\"./mul\"),divide:t(\"./divide\"),div:t(\"./div\"),min:t(\"./min\"),max:t(\"./max\"),floor:t(\"./floor\"),ceil:t(\"./ceil\"),round:t(\"./round\"),scale:t(\"./scale\"),scaleAndAdd:t(\"./scaleAndAdd\"),distance:t(\"./distance\"),dist:t(\"./dist\"),squaredDistance:t(\"./squaredDistance\"),sqrDist:t(\"./sqrDist\"),length:t(\"./length\"),len:t(\"./len\"),squaredLength:t(\"./squaredLength\"),sqrLen:t(\"./sqrLen\"),negate:t(\"./negate\"),inverse:t(\"./inverse\"),normalize:t(\"./normalize\"),dot:t(\"./dot\"),cross:t(\"./cross\"),lerp:t(\"./lerp\"),random:t(\"./random\"),transformMat4:t(\"./transformMat4\"),transformMat3:t(\"./transformMat3\"),transformQuat:t(\"./transformQuat\"),rotateX:t(\"./rotateX\"),rotateY:t(\"./rotateY\"),rotateZ:t(\"./rotateZ\"),forEach:t(\"./forEach\")}},{\"./add\":358,\"./angle\":359,\"./ceil\":360,\"./clone\":361,\"./copy\":362,\"./create\":363,\"./cross\":364,\"./dist\":365,\"./distance\":366,\"./div\":367,\"./divide\":368,\"./dot\":369,\"./epsilon\":370,\"./equals\":371,\"./exactEquals\":372,\"./floor\":373,\"./forEach\":374,\"./fromValues\":375,\"./inverse\":377,\"./len\":378,\"./length\":379,\"./lerp\":380,\"./max\":381,\"./min\":382,\"./mul\":383,\"./multiply\":384,\"./negate\":385,\"./normalize\":386,\"./random\":387,\"./rotateX\":388,\"./rotateY\":389,\"./rotateZ\":390,\"./round\":391,\"./scale\":392,\"./scaleAndAdd\":393,\"./set\":394,\"./sqrDist\":395,\"./sqrLen\":396,\"./squaredDistance\":397,\"./squaredLength\":398,\"./sub\":399,\"./subtract\":400,\"./transformMat3\":401,\"./transformMat4\":402,\"./transformQuat\":403}],377:[function(t,e,r){e.exports=function(t,e){return t[0]=1/e[0],t[1]=1/e[1],t[2]=1/e[2],t}},{}],378:[function(t,e,r){e.exports=t(\"./length\")},{\"./length\":379}],379:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2];return Math.sqrt(e*e+r*r+n*n)}},{}],380:[function(t,e,r){e.exports=function(t,e,r,n){var i=e[0],a=e[1],o=e[2];return t[0]=i+n*(r[0]-i),t[1]=a+n*(r[1]-a),t[2]=o+n*(r[2]-o),t}},{}],381:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.max(e[0],r[0]),t[1]=Math.max(e[1],r[1]),t[2]=Math.max(e[2],r[2]),t}},{}],382:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.min(e[0],r[0]),t[1]=Math.min(e[1],r[1]),t[2]=Math.min(e[2],r[2]),t}},{}],383:[function(t,e,r){e.exports=t(\"./multiply\")},{\"./multiply\":384}],384:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t}},{}],385:[function(t,e,r){e.exports=function(t,e){return t[0]=-e[0],t[1]=-e[1],t[2]=-e[2],t}},{}],386:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;a>0&&(a=1/Math.sqrt(a),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a);return t}},{}],387:[function(t,e,r){e.exports=function(t,e){e=e||1;var r=2*Math.random()*Math.PI,n=2*Math.random()-1,i=Math.sqrt(1-n*n)*e;return t[0]=Math.cos(r)*i,t[1]=Math.sin(r)*i,t[2]=n*e,t}},{}],388:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[1],a=r[2],o=e[1]-i,s=e[2]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=e[0],t[1]=i+o*c-s*l,t[2]=a+o*l+s*c,t}},{}],389:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[0],a=r[2],o=e[0]-i,s=e[2]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=i+s*l+o*c,t[1]=e[1],t[2]=a+s*c-o*l,t}},{}],390:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[0],a=r[1],o=e[0]-i,s=e[1]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=i+o*c-s*l,t[1]=a+o*l+s*c,t[2]=e[2],t}},{}],391:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.round(e[0]),t[1]=Math.round(e[1]),t[2]=Math.round(e[2]),t}},{}],392:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}},{}],393:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t}},{}],394:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e,t[1]=r,t[2]=n,t}},{}],395:[function(t,e,r){e.exports=t(\"./squaredDistance\")},{\"./squaredDistance\":397}],396:[function(t,e,r){e.exports=t(\"./squaredLength\")},{\"./squaredLength\":398}],397:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2];return r*r+n*n+i*i}},{}],398:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2];return e*e+r*r+n*n}},{}],399:[function(t,e,r){e.exports=t(\"./subtract\")},{\"./subtract\":400}],400:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t}},{}],401:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2];return t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8],t}},{}],402:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[3]*n+r[7]*i+r[11]*a+r[15];return o=o||1,t[0]=(r[0]*n+r[4]*i+r[8]*a+r[12])/o,t[1]=(r[1]*n+r[5]*i+r[9]*a+r[13])/o,t[2]=(r[2]*n+r[6]*i+r[10]*a+r[14])/o,t}},{}],403:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2],c=r[3],u=c*n+s*a-l*i,f=c*i+l*n-o*a,h=c*a+o*i-s*n,p=-o*n-s*i-l*a;return t[0]=u*c+p*-o+f*-l-h*-s,t[1]=f*c+p*-s+h*-o-u*-l,t[2]=h*c+p*-l+u*-s-f*-o,t}},{}],404:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t}},{}],405:[function(t,e,r){e.exports=function(t){var e=new Float32Array(4);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e}},{}],406:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t}},{}],407:[function(t,e,r){e.exports=function(){var t=new Float32Array(4);return t[0]=0,t[1]=0,t[2]=0,t[3]=0,t}},{}],408:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2],a=e[3]-t[3];return Math.sqrt(r*r+n*n+i*i+a*a)}},{}],409:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]/r[0],t[1]=e[1]/r[1],t[2]=e[2]/r[2],t[3]=e[3]/r[3],t}},{}],410:[function(t,e,r){e.exports=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]}},{}],411:[function(t,e,r){e.exports=function(t,e,r,n){var i=new Float32Array(4);return i[0]=t,i[1]=e,i[2]=r,i[3]=n,i}},{}],412:[function(t,e,r){e.exports={create:t(\"./create\"),clone:t(\"./clone\"),fromValues:t(\"./fromValues\"),copy:t(\"./copy\"),set:t(\"./set\"),add:t(\"./add\"),subtract:t(\"./subtract\"),multiply:t(\"./multiply\"),divide:t(\"./divide\"),min:t(\"./min\"),max:t(\"./max\"),scale:t(\"./scale\"),scaleAndAdd:t(\"./scaleAndAdd\"),distance:t(\"./distance\"),squaredDistance:t(\"./squaredDistance\"),length:t(\"./length\"),squaredLength:t(\"./squaredLength\"),negate:t(\"./negate\"),inverse:t(\"./inverse\"),normalize:t(\"./normalize\"),dot:t(\"./dot\"),lerp:t(\"./lerp\"),random:t(\"./random\"),transformMat4:t(\"./transformMat4\"),transformQuat:t(\"./transformQuat\")}},{\"./add\":404,\"./clone\":405,\"./copy\":406,\"./create\":407,\"./distance\":408,\"./divide\":409,\"./dot\":410,\"./fromValues\":411,\"./inverse\":413,\"./length\":414,\"./lerp\":415,\"./max\":416,\"./min\":417,\"./multiply\":418,\"./negate\":419,\"./normalize\":420,\"./random\":421,\"./scale\":422,\"./scaleAndAdd\":423,\"./set\":424,\"./squaredDistance\":425,\"./squaredLength\":426,\"./subtract\":427,\"./transformMat4\":428,\"./transformQuat\":429}],413:[function(t,e,r){e.exports=function(t,e){return t[0]=1/e[0],t[1]=1/e[1],t[2]=1/e[2],t[3]=1/e[3],t}},{}],414:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3];return Math.sqrt(e*e+r*r+n*n+i*i)}},{}],415:[function(t,e,r){e.exports=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3];return t[0]=i+n*(r[0]-i),t[1]=a+n*(r[1]-a),t[2]=o+n*(r[2]-o),t[3]=s+n*(r[3]-s),t}},{}],416:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.max(e[0],r[0]),t[1]=Math.max(e[1],r[1]),t[2]=Math.max(e[2],r[2]),t[3]=Math.max(e[3],r[3]),t}},{}],417:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.min(e[0],r[0]),t[1]=Math.min(e[1],r[1]),t[2]=Math.min(e[2],r[2]),t[3]=Math.min(e[3],r[3]),t}},{}],418:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t}},{}],419:[function(t,e,r){e.exports=function(t,e){return t[0]=-e[0],t[1]=-e[1],t[2]=-e[2],t[3]=-e[3],t}},{}],420:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*r+n*n+i*i+a*a;o>0&&(o=1/Math.sqrt(o),t[0]=r*o,t[1]=n*o,t[2]=i*o,t[3]=a*o);return t}},{}],421:[function(t,e,r){var n=t(\"./normalize\"),i=t(\"./scale\");e.exports=function(t,e){return e=e||1,t[0]=Math.random(),t[1]=Math.random(),t[2]=Math.random(),t[3]=Math.random(),n(t,t),i(t,t,e),t}},{\"./normalize\":420,\"./scale\":422}],422:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t}},{}],423:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t}},{}],424:[function(t,e,r){e.exports=function(t,e,r,n,i){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t}},{}],425:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2],a=e[3]-t[3];return r*r+n*n+i*i+a*a}},{}],426:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3];return e*e+r*r+n*n+i*i}},{}],427:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t}},{}],428:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}},{}],429:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2],c=r[3],u=c*n+s*a-l*i,f=c*i+l*n-o*a,h=c*a+o*i-s*n,p=-o*n-s*i-l*a;return t[0]=u*c+p*-o+f*-l-h*-s,t[1]=f*c+p*-s+h*-o-u*-l,t[2]=h*c+p*-l+u*-s-f*-o,t[3]=e[3],t}},{}],430:[function(t,e,r){var n=t(\"glsl-tokenizer\"),i=t(\"atob-lite\");e.exports=function(t){for(var e=Array.isArray(t)?t:n(t),r=0;r<e.length;r++){var a=e[r];if(\"preprocessor\"===a.type){var o=a.data.match(/\\#define\\s+SHADER_NAME(_B64)?\\s+(.+)$/);if(o&&o[2]){var s=o[1],l=o[2];return(s?i(l):l).trim()}}}}},{\"atob-lite\":84,\"glsl-tokenizer\":437}],431:[function(t,e,r){e.exports=function(t){var e,r,c,u=0,f=0,h=999,p=[],d=[],m=1,g=0,v=0,y=!1,x=!1,b=\"\",_=a,w=n;\"300 es\"===(t=t||{}).version&&(_=s,w=o);var T={},k={};for(u=0;u<_.length;u++)T[_[u]]=!0;for(u=0;u<w.length;u++)k[w[u]]=!0;return function(t){return d=[],null!==t?function(t){u=0,t.toString&&(t=t.toString());var r;b+=t.replace(/\\r\\n/g,\"\\n\"),c=b.length;for(;e=b[u],u<c;){switch(r=u,h){case 0:u=L();break;case 1:case 2:u=E();break;case 3:u=C();break;case 4:u=O();break;case 11:u=I();break;case 5:u=z();break;case 9999:u=D();break;case 9:u=S();break;case 999:u=A()}if(r!==u)switch(b[r]){case\"\\n\":g=0,++m;break;default:++g}}return f+=u,b=b.slice(u),d}(t):function(t){p.length&&M(p.join(\"\"));return h=10,M(\"(eof)\"),d}()};function M(t){t.length&&d.push({type:l[h],data:t,position:v,line:m,column:g})}function A(){return p=p.length?[]:p,\"/\"===r&&\"*\"===e?(v=f+u-1,h=0,r=e,u+1):\"/\"===r&&\"/\"===e?(v=f+u-1,h=1,r=e,u+1):\"#\"===e?(h=2,v=f+u,u):/\\s/.test(e)?(h=9,v=f+u,u):(y=/\\d/.test(e),x=/[^\\w_]/.test(e),v=f+u,h=y?4:x?3:9999,u)}function S(){return/[^\\s]/g.test(e)?(M(p.join(\"\")),h=999,u):(p.push(e),r=e,u+1)}function E(){return\"\\r\"!==e&&\"\\n\"!==e||\"\\\\\"===r?(p.push(e),r=e,u+1):(M(p.join(\"\")),h=999,u)}function L(){return\"/\"===e&&\"*\"===r?(p.push(e),M(p.join(\"\")),h=999,u+1):(p.push(e),r=e,u+1)}function C(){if(\".\"===r&&/\\d/.test(e))return h=5,u;if(\"/\"===r&&\"*\"===e)return h=0,u;if(\"/\"===r&&\"/\"===e)return h=1,u;if(\".\"===e&&p.length){for(;P(p););return h=5,u}if(\";\"===e||\")\"===e||\"(\"===e){if(p.length)for(;P(p););return M(e),h=999,u+1}var t=2===p.length&&\"=\"!==e;if(/[\\w_\\d\\s]/.test(e)||t){for(;P(p););return h=999,u}return p.push(e),r=e,u+1}function P(t){for(var e,r,n=0;;){if(e=i.indexOf(t.slice(0,t.length+n).join(\"\")),r=i[e],-1===e){if(n--+t.length>0)continue;r=t.slice(0,1).join(\"\")}return M(r),v+=r.length,(p=p.slice(r.length)).length}}function I(){return/[^a-fA-F0-9]/.test(e)?(M(p.join(\"\")),h=999,u):(p.push(e),r=e,u+1)}function O(){return\".\"===e||/[eE]/.test(e)?(p.push(e),h=5,r=e,u+1):\"x\"===e&&1===p.length&&\"0\"===p[0]?(h=11,p.push(e),r=e,u+1):/[^\\d]/.test(e)?(M(p.join(\"\")),h=999,u):(p.push(e),r=e,u+1)}function z(){return\"f\"===e&&(p.push(e),r=e,u+=1),/[eE]/.test(e)?(p.push(e),r=e,u+1):(\"-\"!==e&&\"+\"!==e||!/[eE]/.test(r))&&/[^\\d]/.test(e)?(M(p.join(\"\")),h=999,u):(p.push(e),r=e,u+1)}function D(){if(/[^\\d\\w_]/.test(e)){var t=p.join(\"\");return h=k[t]?8:T[t]?7:6,M(p.join(\"\")),h=999,u}return p.push(e),r=e,u+1}};var n=t(\"./lib/literals\"),i=t(\"./lib/operators\"),a=t(\"./lib/builtins\"),o=t(\"./lib/literals-300es\"),s=t(\"./lib/builtins-300es\"),l=[\"block-comment\",\"line-comment\",\"preprocessor\",\"operator\",\"integer\",\"float\",\"ident\",\"builtin\",\"keyword\",\"whitespace\",\"eof\",\"integer\"]},{\"./lib/builtins\":433,\"./lib/builtins-300es\":432,\"./lib/literals\":435,\"./lib/literals-300es\":434,\"./lib/operators\":436}],432:[function(t,e,r){var n=t(\"./builtins\");n=n.slice().filter((function(t){return!/^(gl\\_|texture)/.test(t)})),e.exports=n.concat([\"gl_VertexID\",\"gl_InstanceID\",\"gl_Position\",\"gl_PointSize\",\"gl_FragCoord\",\"gl_FrontFacing\",\"gl_FragDepth\",\"gl_PointCoord\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexUniformVectors\",\"gl_MaxVertexOutputVectors\",\"gl_MaxFragmentInputVectors\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxTextureImageUnits\",\"gl_MaxFragmentUniformVectors\",\"gl_MaxDrawBuffers\",\"gl_MinProgramTexelOffset\",\"gl_MaxProgramTexelOffset\",\"gl_DepthRangeParameters\",\"gl_DepthRange\",\"trunc\",\"round\",\"roundEven\",\"isnan\",\"isinf\",\"floatBitsToInt\",\"floatBitsToUint\",\"intBitsToFloat\",\"uintBitsToFloat\",\"packSnorm2x16\",\"unpackSnorm2x16\",\"packUnorm2x16\",\"unpackUnorm2x16\",\"packHalf2x16\",\"unpackHalf2x16\",\"outerProduct\",\"transpose\",\"determinant\",\"inverse\",\"texture\",\"textureSize\",\"textureProj\",\"textureLod\",\"textureOffset\",\"texelFetch\",\"texelFetchOffset\",\"textureProjOffset\",\"textureLodOffset\",\"textureProjLod\",\"textureProjLodOffset\",\"textureGrad\",\"textureGradOffset\",\"textureProjGrad\",\"textureProjGradOffset\"])},{\"./builtins\":433}],433:[function(t,e,r){e.exports=[\"abs\",\"acos\",\"all\",\"any\",\"asin\",\"atan\",\"ceil\",\"clamp\",\"cos\",\"cross\",\"dFdx\",\"dFdy\",\"degrees\",\"distance\",\"dot\",\"equal\",\"exp\",\"exp2\",\"faceforward\",\"floor\",\"fract\",\"gl_BackColor\",\"gl_BackLightModelProduct\",\"gl_BackLightProduct\",\"gl_BackMaterial\",\"gl_BackSecondaryColor\",\"gl_ClipPlane\",\"gl_ClipVertex\",\"gl_Color\",\"gl_DepthRange\",\"gl_DepthRangeParameters\",\"gl_EyePlaneQ\",\"gl_EyePlaneR\",\"gl_EyePlaneS\",\"gl_EyePlaneT\",\"gl_Fog\",\"gl_FogCoord\",\"gl_FogFragCoord\",\"gl_FogParameters\",\"gl_FragColor\",\"gl_FragCoord\",\"gl_FragData\",\"gl_FragDepth\",\"gl_FragDepthEXT\",\"gl_FrontColor\",\"gl_FrontFacing\",\"gl_FrontLightModelProduct\",\"gl_FrontLightProduct\",\"gl_FrontMaterial\",\"gl_FrontSecondaryColor\",\"gl_LightModel\",\"gl_LightModelParameters\",\"gl_LightModelProducts\",\"gl_LightProducts\",\"gl_LightSource\",\"gl_LightSourceParameters\",\"gl_MaterialParameters\",\"gl_MaxClipPlanes\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxDrawBuffers\",\"gl_MaxFragmentUniformComponents\",\"gl_MaxLights\",\"gl_MaxTextureCoords\",\"gl_MaxTextureImageUnits\",\"gl_MaxTextureUnits\",\"gl_MaxVaryingFloats\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxVertexUniformComponents\",\"gl_ModelViewMatrix\",\"gl_ModelViewMatrixInverse\",\"gl_ModelViewMatrixInverseTranspose\",\"gl_ModelViewMatrixTranspose\",\"gl_ModelViewProjectionMatrix\",\"gl_ModelViewProjectionMatrixInverse\",\"gl_ModelViewProjectionMatrixInverseTranspose\",\"gl_ModelViewProjectionMatrixTranspose\",\"gl_MultiTexCoord0\",\"gl_MultiTexCoord1\",\"gl_MultiTexCoord2\",\"gl_MultiTexCoord3\",\"gl_MultiTexCoord4\",\"gl_MultiTexCoord5\",\"gl_MultiTexCoord6\",\"gl_MultiTexCoord7\",\"gl_Normal\",\"gl_NormalMatrix\",\"gl_NormalScale\",\"gl_ObjectPlaneQ\",\"gl_ObjectPlaneR\",\"gl_ObjectPlaneS\",\"gl_ObjectPlaneT\",\"gl_Point\",\"gl_PointCoord\",\"gl_PointParameters\",\"gl_PointSize\",\"gl_Position\",\"gl_ProjectionMatrix\",\"gl_ProjectionMatrixInverse\",\"gl_ProjectionMatrixInverseTranspose\",\"gl_ProjectionMatrixTranspose\",\"gl_SecondaryColor\",\"gl_TexCoord\",\"gl_TextureEnvColor\",\"gl_TextureMatrix\",\"gl_TextureMatrixInverse\",\"gl_TextureMatrixInverseTranspose\",\"gl_TextureMatrixTranspose\",\"gl_Vertex\",\"greaterThan\",\"greaterThanEqual\",\"inversesqrt\",\"length\",\"lessThan\",\"lessThanEqual\",\"log\",\"log2\",\"matrixCompMult\",\"max\",\"min\",\"mix\",\"mod\",\"normalize\",\"not\",\"notEqual\",\"pow\",\"radians\",\"reflect\",\"refract\",\"sign\",\"sin\",\"smoothstep\",\"sqrt\",\"step\",\"tan\",\"texture2D\",\"texture2DLod\",\"texture2DProj\",\"texture2DProjLod\",\"textureCube\",\"textureCubeLod\",\"texture2DLodEXT\",\"texture2DProjLodEXT\",\"textureCubeLodEXT\",\"texture2DGradEXT\",\"texture2DProjGradEXT\",\"textureCubeGradEXT\"]},{}],434:[function(t,e,r){var n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":435}],435:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"uint\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],436:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],437:[function(t,e,r){var n=t(\"./index\");e.exports=function(t,e){var r=n(e),i=[];return i=(i=i.concat(r(t))).concat(r(null))}},{\"./index\":431}],438:[function(t,e,r){arguments[4][261][0].apply(r,arguments)},{dup:261}],439:[function(t,e,r){(function(r){(function(){\"use strict\";var n,i=t(\"is-browser\");n=\"function\"==typeof r.matchMedia?!r.matchMedia(\"(hover: none)\").matches:i,e.exports=n}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"is-browser\":448}],440:[function(t,e,r){\"use strict\";var n=t(\"is-browser\");e.exports=n&&function(){var t=!1;try{var e=Object.defineProperty({},\"passive\",{get:function(){t=!0}});window.addEventListener(\"test\",null,e),window.removeEventListener(\"test\",null,e)}catch(e){t=!1}return t}()},{\"is-browser\":448}],441:[function(t,e,r){r.read=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)},r.write=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}},{}],442:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var i=t[0].length;if(r<=i)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,i+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(i+1),u=0;u<=i;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var f=new a(l,new Array(i+1),!1),h=f.adjacent,p=new Array(i+2);for(u=0;u<=i;++u){for(var d=l.slice(),m=0;m<=i;++m)m===u&&(d[m]=-1);var g=d[0];d[0]=d[1],d[1]=g;var v=new a(d,new Array(i+1),!0);h[u]=v,p[u]=v}p[i+1]=f;for(u=0;u<=i;++u){d=h[u].vertices;var y=h[u].adjacent;for(m=0;m<=i;++m){var x=d[m];if(x<0)y[m]=f;else for(var b=0;b<=i;++b)h[b].vertices.indexOf(x)<0&&(y[m]=h[b])}}var _=new c(i,o,p),w=!!e;for(u=i+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),i=t(\"simplicial-complex\").compareCells;function a(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function o(t,e,r){this.vertices=t,this.cell=e,this.index=r}function s(t,e){return i(t.vertices,e.vertices)}a.prototype.flip=function(){var t=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=t;var e=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=e};var l=[];function c(t,e,r){this.dimension=t,this.vertices=e,this.simplices=r,this.interior=r.filter((function(t){return!t.boundary})),this.tuple=new Array(t+1);for(var i=0;i<=t;++i)this.tuple[i]=this.vertices[i];var a=l[t];a||(a=l[t]=function(t){for(var e=[\"function orient(){var tuple=this.tuple;return test(\"],r=0;r<=t;++r)r>0&&e.push(\",\"),e.push(\"tuple[\",r,\"]\");e.push(\")}return orient\");var i=new Function(\"test\",e.join(\"\")),a=n[t+1];return a||(a=n),i(a)}(t)),this.orient=a}var u=c.prototype;u.handleBoundaryDegeneracy=function(t,e){var r=this.dimension,n=this.vertices.length-1,i=this.tuple,a=this.vertices,o=[t];for(t.lastVisited=-n;o.length>0;){(t=o.pop()).vertices;for(var s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,f=0;f<=r;++f){var h=u[f];i[f]=h<0?e:a[h]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)a[u]=i[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var f=c[u];if(!(f.lastVisited>=r)){var h=a[u];a[u]=t;var p=this.orient();if(a[u]=h,p<0){s=f;continue t}f.boundary?f.lastVisited=-r:f.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,f=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var h=[];f.length>0;){var p=(e=f.pop()).vertices,d=e.adjacent,m=p.indexOf(r);if(!(m<0))for(var g=0;g<=n;++g)if(g!==m){var v=d[g];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=i[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),f.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new a(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[m]=v,w[g]=-1,T[g]=e,d[g]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,L=0;L<=n;++L){var C=w[L];C<0||L===b||(S[E++]=C)}h.push(new o(S,k,b))}}}}}}h.sort(s);for(g=0;g+1<h.length;g+=2){var P=h[g],I=h[g+1],O=P.index,z=I.index;O<0||z<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var f=o[0];o[0]=o[1],o[1]=f}e.push(o)}}return e}},{\"robust-orientation\":544,\"simplicial-complex\":555}],443:[function(t,e,r){\"function\"==typeof Object.create?e.exports=function(t,e){e&&(t.super_=e,t.prototype=Object.create(e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}}))}:e.exports=function(t,e){if(e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}}},{}],444:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function i(t,e,r,n,i){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=i,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(g(t))};var a=i.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=g(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var i=r(t[n]);if(i)return i}}function f(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var i=r(t[n]);if(i)return i}}function h(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function m(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function g(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],a=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?a.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(m),new i(n,g(a),g(o),c,u)}function v(t){this.root=t}a.intervals=function(t){return t.push.apply(t,this.leftPoints),this.left&&this.left.intervals(t),this.right&&this.right.intervals(t),t},a.insert=function(t){var e=this.count-this.leftPoints.length;if(this.count+=1,t[1]<this.mid)this.left?4*(this.left.count+1)>3*(e+1)?l(this,t):this.left.insert(t):this.left=g([t]);else if(t[0]>this.mid)this.right?4*(this.right.count+1)>3*(e+1)?l(this,t):this.right.insert(t):this.right=g([t]);else{var r=n.ge(this.leftPoints,t,d),i=n.ge(this.rightPoints,t,m);this.leftPoints.splice(r,0,t),this.rightPoints.splice(i,0,t)}},a.remove=function(t){var e=this.count-this.leftPoints;if(t[1]<this.mid)return this.left?4*(this.right?this.right.count:0)>3*(e-1)?c(this,t):2===(s=this.left.remove(t))?(this.left=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(t[0]>this.mid)return this.right?4*(this.left?this.left.count:0)>3*(e-1)?c(this,t):2===(s=this.right.remove(t))?(this.right=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(1===this.count)return this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,i=this.left;i.right;)r=i,i=i.right;if(r===this)i.right=this.right;else{var a=this.left,s=this.right;r.count-=i.count,r.right=i.left,i.left=a,i.right=s}o(this,i),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(a=n.ge(this.leftPoints,t,d);a<this.leftPoints.length&&this.leftPoints[a][0]===t[0];++a)if(this.leftPoints[a]===t){this.count-=1,this.leftPoints.splice(a,1);for(s=n.ge(this.rightPoints,t,m);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},a.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return f(this.rightPoints,t,e)}return h(this.leftPoints,e)},a.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?f(this.rightPoints,t,r):h(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new i(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":445}],445:[function(t,e,r){arguments[4][247][0].apply(r,arguments)},{dup:247}],446:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],447:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],448:[function(t,e,r){e.exports=!0},{}],449:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],450:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],451:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],452:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],453:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],454:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],455:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],456:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],457:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,i){if(t)if(e){var a=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=i(o)).workerUrl=window.URL.createObjectURL(new Blob([a],{type:\"text/javascript\"}))}else e=i;else t=i}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,i,a,o;for(void 0===e&&(e=1e-6),i=t,o=0;o<8;o++){if(a=this.sampleCurveX(i)-t,Math.abs(a)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=a/s}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(a=this.sampleCurveX(i),Math.abs(a-t)<e)return i;t>a?r=i:n=i,i=.5*(n-r)+r}return i},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var i=a;function a(t,e){this.x=t,this.y=e}function o(t,e,n,i){var a=new r(t,e,n,i);return function(t){return a.solve(t)}}a.prototype={clone:function(){return new a(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return this.x=i,this.y=a,this},_round:function(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}},a.convert=function(t){return t instanceof a?t:Array.isArray(t)?new a(t[0],t[1]):t};var s=o(.25,.1,.25,1);function l(t,e,r){return Math.min(r,Math.max(e,t))}function c(t,e,r){var n=r-e,i=((t-e)%n+n)%n+e;return i===e?r:i}function u(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,i=e;n<i.length;n+=1){var a=i[n];for(var o in a)t[o]=a[o]}return t}var f=1;function h(){return f++}function p(){return function t(e){return e?(e^16*Math.random()>>e/4).toString(16):([1e7]+-[1e3]+-4e3+-8e3+-1e11).replace(/[018]/g,t)}()}function d(t){return!!t&&/^[0-9a-f]{8}-[0-9a-f]{4}-[4][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i.test(t)}function m(t,e){t.forEach((function(t){e[t]&&(e[t]=e[t].bind(e))}))}function g(t,e){return-1!==t.indexOf(e,t.length-e.length)}function v(t,e,r){var n={};for(var i in t)n[i]=e.call(r||this,t[i],i,t);return n}function y(t,e,r){var n={};for(var i in t)e.call(r||this,t[i],i,t)&&(n[i]=t[i]);return n}function x(t){return Array.isArray(t)?t.map(x):\"object\"==typeof t&&t?v(t,x):t}var b={};function _(t){b[t]||(\"undefined\"!=typeof console&&console.warn(t),b[t]=!0)}function w(t,e,r){return(r.y-t.y)*(e.x-t.x)>(e.y-t.y)*(r.x-t.x)}function T(t){for(var e=0,r=0,n=t.length,i=n-1,a=void 0,o=void 0;r<n;i=r++)a=t[r],e+=((o=t[i]).x-a.x)*(a.y+o.y);return e}function k(){return\"undefined\"!=typeof WorkerGlobalScope&&\"undefined\"!=typeof self&&self instanceof WorkerGlobalScope}function M(t){var e={};if(t.replace(/(?:^|(?:\\s*\\,\\s*))([^\\x00-\\x20\\(\\)<>@\\,;\\:\\\\\"\\/\\[\\]\\?\\=\\{\\}\\x7F]+)(?:\\=(?:([^\\x00-\\x20\\(\\)<>@\\,;\\:\\\\\"\\/\\[\\]\\?\\=\\{\\}\\x7F]+)|(?:\\\"((?:[^\"\\\\]|\\\\.)*)\\\")))?/g,(function(t,r,n,i){var a=n||i;return e[r]=!a||a.toLowerCase(),\"\"})),e[\"max-age\"]){var r=parseInt(e[\"max-age\"],10);isNaN(r)?delete e[\"max-age\"]:e[\"max-age\"]=r}return e}var A=null;function S(t){if(null==A){var e=t.navigator?t.navigator.userAgent:null;A=!!t.safari||!(!e||!(/\\b(iPad|iPhone|iPod)\\b/.test(e)||e.match(\"Safari\")&&!e.match(\"Chrome\")))}return A}function E(t){try{var e=self[t];return e.setItem(\"_mapbox_test_\",1),e.removeItem(\"_mapbox_test_\"),!0}catch(t){return!1}}var L,C,P,I,O=self.performance&&self.performance.now?self.performance.now.bind(self.performance):Date.now.bind(Date),z=self.requestAnimationFrame||self.mozRequestAnimationFrame||self.webkitRequestAnimationFrame||self.msRequestAnimationFrame,D=self.cancelAnimationFrame||self.mozCancelAnimationFrame||self.webkitCancelAnimationFrame||self.msCancelAnimationFrame,R={now:O,frame:function(t){var e=z(t);return{cancel:function(){return D(e)}}},getImageData:function(t,e){void 0===e&&(e=0);var r=self.document.createElement(\"canvas\"),n=r.getContext(\"2d\");if(!n)throw new Error(\"failed to create canvas 2d context\");return r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return L||(L=self.document.createElement(\"a\")),L.href=t,L.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==C&&(C=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),C.matches)}},F={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},B={supported:!1,testSupport:function(t){if(N||!I)return;j?U(t):P=t}},N=!1,j=!1;function U(t){var e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,I),t.isContextLost())return;B.supported=!0}catch(t){}t.deleteTexture(e),N=!0}self.document&&((I=self.document.createElement(\"img\")).onload=function(){P&&U(P),P=null,j=!0},I.onerror=function(){N=!0,P=null},I.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\");var V=\"01\";var q=function(t,e){this._transformRequestFn=t,this._customAccessToken=e,this._createSkuToken()};function H(t){return 0===t.indexOf(\"mapbox:\")}q.prototype._createSkuToken=function(){var t=function(){for(var t=\"\",e=0;e<10;e++)t+=\"0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ\"[Math.floor(62*Math.random())];return{token:[\"1\",V,t].join(\"\"),tokenExpiresAt:Date.now()+432e5}}();this._skuToken=t.token,this._skuTokenExpiresAt=t.tokenExpiresAt},q.prototype._isSkuTokenExpired=function(){return Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!H(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!H(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!H(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return H(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,Z(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!H(t))return t;var r=X(t),n=R.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=B.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||F.ACCESS_TOKEN;return F.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&H(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(F.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!F.REQUIRE_ACCESS_TOKEN)return Z(t);if(!(e=e||F.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),Z(t)};var G=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return G.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function Z(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}function J(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var K=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};K.prototype.getStorageKey=function(t){var e,r=J(F.ACCESS_TOKEN),n=\"\";return r&&r.u?(e=r.u,n=self.btoa(encodeURIComponent(e).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):n=F.ACCESS_TOKEN||\"\",t?\"mapbox.eventData.\"+t+\":\"+n:\"mapbox.eventData:\"+n},K.prototype.fetchEventData=function(){var t=E(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var i=self.localStorage.getItem(r);i&&(this.anonId=i)}catch(t){_(\"Unable to read from LocalStorage\")}},K.prototype.saveEventData=function(){var t=E(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{self.localStorage.setItem(r,this.anonId),Object.keys(this.eventData).length>=1&&self.localStorage.setItem(e,JSON.stringify(this.eventData))}catch(t){_(\"Unable to write to LocalStorage\")}},K.prototype.processRequests=function(t){},K.prototype.postEvent=function(t,e,r,n){var i=this;if(F.EVENTS_URL){var a=X(F.EVENTS_URL);a.params.push(\"access_token=\"+(n||F.ACCESS_TOKEN||\"\"));var o={event:this.type,created:new Date(t).toISOString(),sdkIdentifier:\"mapbox-gl-js\",sdkVersion:\"1.10.1\",skuId:V,userId:this.anonId},s=e?u(o,e):o,l={url:Z(a),headers:{\"Content-Type\":\"text/plain\"},body:JSON.stringify([s])};this.pendingRequest=bt(l,(function(t){i.pendingRequest=null,r(t),i.saveEventData(),i.processRequests(n)}))}},K.prototype.queueRequest=function(t,e){this.queue.push(t),this.processRequests(e)};var Q,$,tt=function(t){function e(){t.call(this,\"map.load\"),this.success={},this.skuToken=\"\"}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postMapLoadEvent=function(t,e,r,n){this.skuToken=r,(F.EVENTS_URL&&n||F.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return H(t)||Y(t)})))&&this.queueRequest({id:e,timestamp:Date.now()},n)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){var r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),d(this.anonId)||(this.anonId=p()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(K),et=new(function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){F.EVENTS_URL&&F.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return H(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=J(F.ACCESS_TOKEN),n=r?r.u:F.ACCESS_TOKEN,i=n!==this.eventData.tokenU;d(this.anonId)||(this.anonId=p(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new Date(a),l=(a-this.eventData.lastSuccess)/864e5;i=i||l>=1||l<-1||o.getDate()!==s.getDate()}else i=!0;if(!i)return this.processRequests();this.postEvent(a,{\"enabled.telemetry\":!1},(function(t){t||(e.eventData.lastSuccess=a,e.eventData.tokenU=n)}),t)}},e}(K)),rt=et.postTurnstileEvent.bind(et),nt=new tt,it=nt.postMapLoadEvent.bind(nt),at=500,ot=50;function st(){self.caches&&!Q&&(Q=self.caches.open(\"mapbox-tiles\"))}function lt(t,e,r){if(st(),Q){var n={status:e.status,statusText:e.statusText,headers:new self.Headers};e.headers.forEach((function(t,e){return n.headers.set(e,t)}));var i=M(e.headers.get(\"Cache-Control\")||\"\");if(!i[\"no-store\"])i[\"max-age\"]&&n.headers.set(\"Expires\",new Date(r+1e3*i[\"max-age\"]).toUTCString()),new Date(n.headers.get(\"Expires\")).getTime()-r<42e4||function(t,e){if(void 0===$)try{new Response(new ReadableStream),$=!0}catch(t){$=!1}$?e(t.body):t.blob().then(e)}(e,(function(e){var r=new self.Response(e,n);st(),Q&&Q.then((function(e){return e.put(ct(t.url),r)})).catch((function(t){return _(t.message)}))}))}}function ct(t){var e=t.indexOf(\"?\");return e<0?t:t.slice(0,e)}function ut(t,e){if(st(),!Q)return e(null);var r=ct(t.url);Q.then((function(t){t.match(r).then((function(n){var i=function(t){if(!t)return!1;var e=new Date(t.headers.get(\"Expires\")||0),r=M(t.headers.get(\"Cache-Control\")||\"\");return e>Date.now()&&!r[\"no-cache\"]}(n);t.delete(r),i&&t.put(r,n.clone()),e(null,n,i)})).catch(e)})).catch(e)}var ft,ht=1/0;function pt(){return null==ft&&(ft=self.OffscreenCanvas&&new self.OffscreenCanvas(1,1).getContext(\"2d\")&&\"function\"==typeof self.createImageBitmap),ft}var dt={Unknown:\"Unknown\",Style:\"Style\",Source:\"Source\",Tile:\"Tile\",Glyphs:\"Glyphs\",SpriteImage:\"SpriteImage\",SpriteJSON:\"SpriteJSON\",Image:\"Image\"};\"function\"==typeof Object.freeze&&Object.freeze(dt);var mt=function(t){function e(e,r,n){401===r&&Y(n)&&(e+=\": you may have provided an invalid Mapbox access token. See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\"),t.call(this,e),this.status=r,this.url=n,this.name=this.constructor.name,this.message=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.toString=function(){return this.name+\": \"+this.message+\" (\"+this.status+\"): \"+this.url},e}(Error),gt=k()?function(){return self.worker&&self.worker.referrer}:function(){return(\"blob:\"===self.location.protocol?self.parent:self).location.href};function vt(t,e){var r,n=new self.AbortController,i=new self.Request(t.url,{method:t.method||\"GET\",body:t.body,credentials:t.credentials,headers:t.headers,referrer:gt(),signal:n.signal}),a=!1,o=!1,s=(r=i.url).indexOf(\"sku=\")>0&&Y(r);\"json\"===t.type&&i.headers.set(\"Accept\",\"application/json\");var l=function(r,n,a){if(!o){if(r&&\"SecurityError\"!==r.message&&_(r),n&&a)return c(n);var l=Date.now();self.fetch(i).then((function(r){if(r.ok){var n=s?r.clone():null;return c(r,n,l)}return e(new mt(r.statusText,r.status,t.url))})).catch((function(t){20!==t.code&&e(new Error(t.message))}))}},c=function(r,n,s){(\"arrayBuffer\"===t.type?r.arrayBuffer():\"json\"===t.type?r.json():r.text()).then((function(t){o||(n&&s&&lt(i,n,s),a=!0,e(null,t,r.headers.get(\"Cache-Control\"),r.headers.get(\"Expires\")))})).catch((function(t){o||e(new Error(t.message))}))};return s?ut(i,l):l(null,null),{cancel:function(){o=!0,a||n.abort()}}}var yt=function(t,e){if(r=t.url,!(/^file:/.test(r)||/^file:/.test(gt())&&!/^\\w+:/.test(r))){if(self.fetch&&self.Request&&self.AbortController&&self.Request.prototype.hasOwnProperty(\"signal\"))return vt(t,e);if(k()&&self.worker&&self.worker.actor){return self.worker.actor.send(\"getResource\",t,e,void 0,!0)}}var r;return function(t,e){var r=new self.XMLHttpRequest;for(var n in r.open(t.method||\"GET\",t.url,!0),\"arrayBuffer\"===t.type&&(r.responseType=\"arraybuffer\"),t.headers)r.setRequestHeader(n,t.headers[n]);return\"json\"===t.type&&(r.responseType=\"text\",r.setRequestHeader(\"Accept\",\"application/json\")),r.withCredentials=\"include\"===t.credentials,r.onerror=function(){e(new Error(r.statusText))},r.onload=function(){if((r.status>=200&&r.status<300||0===r.status)&&null!==r.response){var n=r.response;if(\"json\"===t.type)try{n=JSON.parse(r.response)}catch(t){return e(t)}e(null,n,r.getResponseHeader(\"Cache-Control\"),r.getResponseHeader(\"Expires\"))}else e(new mt(r.statusText,r.status,t.url))},r.send(t.body),{cancel:function(){return r.abort()}}}(t,e)},xt=function(t,e){return yt(u(t,{type:\"arrayBuffer\"}),e)},bt=function(t,e){return yt(u(t,{method:\"POST\"}),e)};var _t,wt;_t=[],wt=0;var Tt=function(t,e){if(B.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),wt>=F.MAX_PARALLEL_IMAGE_REQUESTS){var r={requestParameters:t,callback:e,cancelled:!1,cancel:function(){this.cancelled=!0}};return _t.push(r),r}wt++;var n=!1,i=function(){if(!n)for(n=!0,wt--;_t.length&&wt<F.MAX_PARALLEL_IMAGE_REQUESTS;){var t=_t.shift(),e=t.requestParameters,r=t.callback;t.cancelled||(t.cancel=Tt(e,r).cancel)}},a=xt(t,(function(t,r,n,a){i(),t?e(t):r&&(pt()?function(t,e){var r=new self.Blob([new Uint8Array(t)],{type:\"image/png\"});self.createImageBitmap(r).then((function(t){e(null,t)})).catch((function(t){e(new Error(\"Could not load image because of \"+t.message+\". Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))}))}(r,e):function(t,e,r,n){var i=new self.Image,a=self.URL;i.onload=function(){e(null,i),a.revokeObjectURL(i.src)},i.onerror=function(){return e(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))};var o=new self.Blob([new Uint8Array(t)],{type:\"image/png\"});i.cacheControl=r,i.expires=n,i.src=t.byteLength?a.createObjectURL(o):\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAC0lEQVQYV2NgAAIAAAUAAarVyFEAAAAASUVORK5CYII=\"}(r,e,n,a))}));return{cancel:function(){a.cancel(),i()}}};function kt(t,e,r){r[t]&&-1!==r[t].indexOf(e)||(r[t]=r[t]||[],r[t].push(e))}function Mt(t,e,r){if(r&&r[t]){var n=r[t].indexOf(e);-1!==n&&r[t].splice(n,1)}}var At=function(t,e){void 0===e&&(e={}),u(this,e),this.type=t},St=function(t){function e(e,r){void 0===r&&(r={}),t.call(this,\"error\",u({error:e},r))}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(At),Et=function(){};Et.prototype.on=function(t,e){return this._listeners=this._listeners||{},kt(t,e,this._listeners),this},Et.prototype.off=function(t,e){return Mt(t,e,this._listeners),Mt(t,e,this._oneTimeListeners),this},Et.prototype.once=function(t,e){return this._oneTimeListeners=this._oneTimeListeners||{},kt(t,e,this._oneTimeListeners),this},Et.prototype.fire=function(t,e){\"string\"==typeof t&&(t=new At(t,e||{}));var r=t.type;if(this.listens(r)){t.target=this;for(var n=0,i=this._listeners&&this._listeners[r]?this._listeners[r].slice():[];n<i.length;n+=1){i[n].call(this,t)}for(var a=0,o=this._oneTimeListeners&&this._oneTimeListeners[r]?this._oneTimeListeners[r].slice():[];a<o.length;a+=1){var s=o[a];Mt(r,s,this._oneTimeListeners),s.call(this,t)}var l=this._eventedParent;l&&(u(t,\"function\"==typeof this._eventedParentData?this._eventedParentData():this._eventedParentData),l.fire(t))}else t instanceof St&&console.error(t.error);return this},Et.prototype.listens=function(t){return this._listeners&&this._listeners[t]&&this._listeners[t].length>0||this._oneTimeListeners&&this._oneTimeListeners[t]&&this._oneTimeListeners[t].length>0||this._eventedParent&&this._eventedParent.listens(t)},Et.prototype.setEventedParent=function(t,e){return this._eventedParent=t,this._eventedParentData=e,this};var Lt={$version:8,$root:{version:{required:!0,type:\"enum\",values:[8]},name:{type:\"string\"},metadata:{type:\"*\"},center:{type:\"array\",value:\"number\"},zoom:{type:\"number\"},bearing:{type:\"number\",default:0,period:360,units:\"degrees\"},pitch:{type:\"number\",default:0,units:\"degrees\"},light:{type:\"light\"},sources:{required:!0,type:\"sources\"},sprite:{type:\"string\"},glyphs:{type:\"string\"},transition:{type:\"transition\"},layers:{required:!0,type:\"array\",value:\"layer\"}},sources:{\"*\":{type:\"source\"}},source:[\"source_vector\",\"source_raster\",\"source_raster_dem\",\"source_geojson\",\"source_video\",\"source_image\"],source_vector:{type:{required:!0,type:\"enum\",values:{vector:{}}},url:{type:\"string\"},tiles:{type:\"array\",value:\"string\"},bounds:{type:\"array\",value:\"number\",length:4,default:[-180,-85.051129,180,85.051129]},scheme:{type:\"enum\",values:{xyz:{},tms:{}},default:\"xyz\"},minzoom:{type:\"number\",default:0},maxzoom:{type:\"number\",default:22},attribution:{type:\"string\"},promoteId:{type:\"promoteId\"},\"*\":{type:\"*\"}},source_raster:{type:{required:!0,type:\"enum\",values:{raster:{}}},url:{type:\"string\"},tiles:{type:\"array\",value:\"string\"},bounds:{type:\"array\",value:\"number\",length:4,default:[-180,-85.051129,180,85.051129]},minzoom:{type:\"number\",default:0},maxzoom:{type:\"number\",default:22},tileSize:{type:\"number\",default:512,units:\"pixels\"},scheme:{type:\"enum\",values:{xyz:{},tms:{}},default:\"xyz\"},attribution:{type:\"string\"},\"*\":{type:\"*\"}},source_raster_dem:{type:{required:!0,type:\"enum\",values:{\"raster-dem\":{}}},url:{type:\"string\"},tiles:{type:\"array\",value:\"string\"},bounds:{type:\"array\",value:\"number\",length:4,default:[-180,-85.051129,180,85.051129]},minzoom:{type:\"number\",default:0},maxzoom:{type:\"number\",default:22},tileSize:{type:\"number\",default:512,units:\"pixels\"},attribution:{type:\"string\"},encoding:{type:\"enum\",values:{terrarium:{},mapbox:{}},default:\"mapbox\"},\"*\":{type:\"*\"}},source_geojson:{type:{required:!0,type:\"enum\",values:{geojson:{}}},data:{type:\"*\"},maxzoom:{type:\"number\",default:18},attribution:{type:\"string\"},buffer:{type:\"number\",default:128,maximum:512,minimum:0},tolerance:{type:\"number\",default:.375},cluster:{type:\"boolean\",default:!1},clusterRadius:{type:\"number\",default:50,minimum:0},clusterMaxZoom:{type:\"number\"},clusterProperties:{type:\"*\"},lineMetrics:{type:\"boolean\",default:!1},generateId:{type:\"boolean\",default:!1},promoteId:{type:\"promoteId\"}},source_video:{type:{required:!0,type:\"enum\",values:{video:{}}},urls:{required:!0,type:\"array\",value:\"string\"},coordinates:{required:!0,type:\"array\",length:4,value:{type:\"array\",length:2,value:\"number\"}}},source_image:{type:{required:!0,type:\"enum\",values:{image:{}}},url:{required:!0,type:\"string\"},coordinates:{required:!0,type:\"array\",length:4,value:{type:\"array\",length:2,value:\"number\"}}},layer:{id:{type:\"string\",required:!0},type:{type:\"enum\",values:{fill:{},line:{},symbol:{},circle:{},heatmap:{},\"fill-extrusion\":{},raster:{},hillshade:{},background:{}},required:!0},metadata:{type:\"*\"},source:{type:\"string\"},\"source-layer\":{type:\"string\"},minzoom:{type:\"number\",minimum:0,maximum:24},maxzoom:{type:\"number\",minimum:0,maximum:24},filter:{type:\"filter\"},layout:{type:\"layout\"},paint:{type:\"paint\"}},layout:[\"layout_fill\",\"layout_line\",\"layout_circle\",\"layout_heatmap\",\"layout_fill-extrusion\",\"layout_symbol\",\"layout_raster\",\"layout_hillshade\",\"layout_background\"],layout_background:{visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},layout_fill:{\"fill-sort-key\":{type:\"number\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},layout_circle:{\"circle-sort-key\":{type:\"number\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},layout_heatmap:{visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},\"layout_fill-extrusion\":{visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},layout_line:{\"line-cap\":{type:\"enum\",values:{butt:{},round:{},square:{}},default:\"butt\",expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"line-join\":{type:\"enum\",values:{bevel:{},round:{},miter:{}},default:\"miter\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"line-miter-limit\":{type:\"number\",default:2,requires:[{\"line-join\":\"miter\"}],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"line-round-limit\":{type:\"number\",default:1.05,requires:[{\"line-join\":\"round\"}],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"line-sort-key\":{type:\"number\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},layout_symbol:{\"symbol-placement\":{type:\"enum\",values:{point:{},line:{},\"line-center\":{}},default:\"point\",expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"symbol-spacing\":{type:\"number\",default:250,minimum:1,units:\"pixels\",requires:[{\"symbol-placement\":\"line\"}],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"symbol-avoid-edges\":{type:\"boolean\",default:!1,expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"symbol-sort-key\":{type:\"number\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"symbol-z-order\":{type:\"enum\",values:{auto:{},\"viewport-y\":{},source:{}},default:\"auto\",expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-allow-overlap\":{type:\"boolean\",default:!1,requires:[\"icon-image\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-ignore-placement\":{type:\"boolean\",default:!1,requires:[\"icon-image\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-optional\":{type:\"boolean\",default:!1,requires:[\"icon-image\",\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-rotation-alignment\":{type:\"enum\",values:{map:{},viewport:{},auto:{}},default:\"auto\",requires:[\"icon-image\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-size\":{type:\"number\",default:1,minimum:0,units:\"factor of the original icon size\",requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"icon-text-fit\":{type:\"enum\",values:{none:{},width:{},height:{},both:{}},default:\"none\",requires:[\"icon-image\",\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-text-fit-padding\":{type:\"array\",value:\"number\",length:4,default:[0,0,0,0],units:\"pixels\",requires:[\"icon-image\",\"text-field\",{\"icon-text-fit\":[\"both\",\"width\",\"height\"]}],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-image\":{type:\"resolvedImage\",tokens:!0,expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"icon-rotate\":{type:\"number\",default:0,period:360,units:\"degrees\",requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"icon-padding\":{type:\"number\",default:2,minimum:0,units:\"pixels\",requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-keep-upright\":{type:\"boolean\",default:!1,requires:[\"icon-image\",{\"icon-rotation-alignment\":\"map\"},{\"symbol-placement\":[\"line\",\"line-center\"]}],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-offset\":{type:\"array\",value:\"number\",length:2,default:[0,0],requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"icon-anchor\":{type:\"enum\",values:{center:{},left:{},right:{},top:{},bottom:{},\"top-left\":{},\"top-right\":{},\"bottom-left\":{},\"bottom-right\":{}},default:\"center\",requires:[\"icon-image\"],expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"icon-pitch-alignment\":{type:\"enum\",values:{map:{},viewport:{},auto:{}},default:\"auto\",requires:[\"icon-image\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-pitch-alignment\":{type:\"enum\",values:{map:{},viewport:{},auto:{}},default:\"auto\",requires:[\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-rotation-alignment\":{type:\"enum\",values:{map:{},viewport:{},auto:{}},default:\"auto\",requires:[\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-field\":{type:\"formatted\",default:\"\",tokens:!0,expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-font\":{type:\"array\",value:\"string\",default:[\"Open Sans Regular\",\"Arial Unicode MS Regular\"],requires:[\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-size\":{type:\"number\",default:16,minimum:0,units:\"pixels\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-max-width\":{type:\"number\",default:10,minimum:0,units:\"ems\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-line-height\":{type:\"number\",default:1.2,units:\"ems\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-letter-spacing\":{type:\"number\",default:0,units:\"ems\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-justify\":{type:\"enum\",values:{auto:{},left:{},center:{},right:{}},default:\"center\",requires:[\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-radial-offset\":{type:\"number\",units:\"ems\",default:0,requires:[\"text-field\"],\"property-type\":\"data-driven\",expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]}},\"text-variable-anchor\":{type:\"array\",value:\"enum\",values:{center:{},left:{},right:{},top:{},bottom:{},\"top-left\":{},\"top-right\":{},\"bottom-left\":{},\"bottom-right\":{}},requires:[\"text-field\",{\"symbol-placement\":[\"point\"]}],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-anchor\":{type:\"enum\",values:{center:{},left:{},right:{},top:{},bottom:{},\"top-left\":{},\"top-right\":{},\"bottom-left\":{},\"bottom-right\":{}},default:\"center\",requires:[\"text-field\",{\"!\":\"text-variable-anchor\"}],expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-max-angle\":{type:\"number\",default:45,units:\"degrees\",requires:[\"text-field\",{\"symbol-placement\":[\"line\",\"line-center\"]}],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-writing-mode\":{type:\"array\",value:\"enum\",values:{horizontal:{},vertical:{}},requires:[\"text-field\",{\"symbol-placement\":[\"point\"]}],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-rotate\":{type:\"number\",default:0,period:360,units:\"degrees\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-padding\":{type:\"number\",default:2,minimum:0,units:\"pixels\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-keep-upright\":{type:\"boolean\",default:!0,requires:[\"text-field\",{\"text-rotation-alignment\":\"map\"},{\"symbol-placement\":[\"line\",\"line-center\"]}],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-transform\":{type:\"enum\",values:{none:{},uppercase:{},lowercase:{}},default:\"none\",requires:[\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-offset\":{type:\"array\",value:\"number\",units:\"ems\",length:2,default:[0,0],requires:[\"text-field\",{\"!\":\"text-radial-offset\"}],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"data-driven\"},\"text-allow-overlap\":{type:\"boolean\",default:!1,requires:[\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-ignore-placement\":{type:\"boolean\",default:!1,requires:[\"text-field\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-optional\":{type:\"boolean\",default:!1,requires:[\"text-field\",\"icon-image\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},layout_raster:{visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},layout_hillshade:{visibility:{type:\"enum\",values:{visible:{},none:{}},default:\"visible\",\"property-type\":\"constant\"}},filter:{type:\"array\",value:\"*\"},filter_operator:{type:\"enum\",values:{\"==\":{},\"!=\":{},\">\":{},\">=\":{},\"<\":{},\"<=\":{},in:{},\"!in\":{},all:{},any:{},none:{},has:{},\"!has\":{},within:{}}},geometry_type:{type:\"enum\",values:{Point:{},LineString:{},Polygon:{}}},function:{expression:{type:\"expression\"},stops:{type:\"array\",value:\"function_stop\"},base:{type:\"number\",default:1,minimum:0},property:{type:\"string\",default:\"$zoom\"},type:{type:\"enum\",values:{identity:{},exponential:{},interval:{},categorical:{}},default:\"exponential\"},colorSpace:{type:\"enum\",values:{rgb:{},lab:{},hcl:{}},default:\"rgb\"},default:{type:\"*\",required:!1}},function_stop:{type:\"array\",minimum:0,maximum:24,value:[\"number\",\"color\"],length:2},expression:{type:\"array\",value:\"*\",minimum:1},expression_name:{type:\"enum\",values:{let:{group:\"Variable binding\"},var:{group:\"Variable binding\"},literal:{group:\"Types\"},array:{group:\"Types\"},at:{group:\"Lookup\"},in:{group:\"Lookup\"},\"index-of\":{group:\"Lookup\"},slice:{group:\"Lookup\"},case:{group:\"Decision\"},match:{group:\"Decision\"},coalesce:{group:\"Decision\"},step:{group:\"Ramps, scales, curves\"},interpolate:{group:\"Ramps, scales, curves\"},\"interpolate-hcl\":{group:\"Ramps, scales, curves\"},\"interpolate-lab\":{group:\"Ramps, scales, curves\"},ln2:{group:\"Math\"},pi:{group:\"Math\"},e:{group:\"Math\"},typeof:{group:\"Types\"},string:{group:\"Types\"},number:{group:\"Types\"},boolean:{group:\"Types\"},object:{group:\"Types\"},collator:{group:\"Types\"},format:{group:\"Types\"},image:{group:\"Types\"},\"number-format\":{group:\"Types\"},\"to-string\":{group:\"Types\"},\"to-number\":{group:\"Types\"},\"to-boolean\":{group:\"Types\"},\"to-rgba\":{group:\"Color\"},\"to-color\":{group:\"Types\"},rgb:{group:\"Color\"},rgba:{group:\"Color\"},get:{group:\"Lookup\"},has:{group:\"Lookup\"},length:{group:\"Lookup\"},properties:{group:\"Feature data\"},\"feature-state\":{group:\"Feature data\"},\"geometry-type\":{group:\"Feature data\"},id:{group:\"Feature data\"},zoom:{group:\"Zoom\"},\"heatmap-density\":{group:\"Heatmap\"},\"line-progress\":{group:\"Feature data\"},accumulated:{group:\"Feature data\"},\"+\":{group:\"Math\"},\"*\":{group:\"Math\"},\"-\":{group:\"Math\"},\"/\":{group:\"Math\"},\"%\":{group:\"Math\"},\"^\":{group:\"Math\"},sqrt:{group:\"Math\"},log10:{group:\"Math\"},ln:{group:\"Math\"},log2:{group:\"Math\"},sin:{group:\"Math\"},cos:{group:\"Math\"},tan:{group:\"Math\"},asin:{group:\"Math\"},acos:{group:\"Math\"},atan:{group:\"Math\"},min:{group:\"Math\"},max:{group:\"Math\"},round:{group:\"Math\"},abs:{group:\"Math\"},ceil:{group:\"Math\"},floor:{group:\"Math\"},distance:{group:\"Math\"},\"==\":{group:\"Decision\"},\"!=\":{group:\"Decision\"},\">\":{group:\"Decision\"},\"<\":{group:\"Decision\"},\">=\":{group:\"Decision\"},\"<=\":{group:\"Decision\"},all:{group:\"Decision\"},any:{group:\"Decision\"},\"!\":{group:\"Decision\"},within:{group:\"Decision\"},\"is-supported-script\":{group:\"String\"},upcase:{group:\"String\"},downcase:{group:\"String\"},concat:{group:\"String\"},\"resolved-locale\":{group:\"String\"}}},light:{anchor:{type:\"enum\",default:\"viewport\",values:{map:{},viewport:{}},\"property-type\":\"data-constant\",transition:!1,expression:{interpolated:!1,parameters:[\"zoom\"]}},position:{type:\"array\",default:[1.15,210,30],length:3,value:\"number\",\"property-type\":\"data-constant\",transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]}},color:{type:\"color\",\"property-type\":\"data-constant\",default:\"#ffffff\",expression:{interpolated:!0,parameters:[\"zoom\"]},transition:!0},intensity:{type:\"number\",\"property-type\":\"data-constant\",default:.5,minimum:0,maximum:1,expression:{interpolated:!0,parameters:[\"zoom\"]},transition:!0}},paint:[\"paint_fill\",\"paint_line\",\"paint_circle\",\"paint_heatmap\",\"paint_fill-extrusion\",\"paint_symbol\",\"paint_raster\",\"paint_hillshade\",\"paint_background\"],paint_fill:{\"fill-antialias\":{type:\"boolean\",default:!0,expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"fill-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"fill-color\":{type:\"color\",default:\"#000000\",transition:!0,requires:[{\"!\":\"fill-pattern\"}],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"fill-outline-color\":{type:\"color\",transition:!0,requires:[{\"!\":\"fill-pattern\"},{\"fill-antialias\":!0}],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"fill-translate\":{type:\"array\",value:\"number\",length:2,default:[0,0],transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"fill-translate-anchor\":{type:\"enum\",values:{map:{},viewport:{}},default:\"map\",requires:[\"fill-translate\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"fill-pattern\":{type:\"resolvedImage\",transition:!0,expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"cross-faded-data-driven\"}},\"paint_fill-extrusion\":{\"fill-extrusion-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"fill-extrusion-color\":{type:\"color\",default:\"#000000\",transition:!0,requires:[{\"!\":\"fill-extrusion-pattern\"}],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"fill-extrusion-translate\":{type:\"array\",value:\"number\",length:2,default:[0,0],transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"fill-extrusion-translate-anchor\":{type:\"enum\",values:{map:{},viewport:{}},default:\"map\",requires:[\"fill-extrusion-translate\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"fill-extrusion-pattern\":{type:\"resolvedImage\",transition:!0,expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"cross-faded-data-driven\"},\"fill-extrusion-height\":{type:\"number\",default:0,minimum:0,units:\"meters\",transition:!0,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"fill-extrusion-base\":{type:\"number\",default:0,minimum:0,units:\"meters\",transition:!0,requires:[\"fill-extrusion-height\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"fill-extrusion-vertical-gradient\":{type:\"boolean\",default:!0,transition:!1,expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"}},paint_line:{\"line-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"line-color\":{type:\"color\",default:\"#000000\",transition:!0,requires:[{\"!\":\"line-pattern\"}],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"line-translate\":{type:\"array\",value:\"number\",length:2,default:[0,0],transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"line-translate-anchor\":{type:\"enum\",values:{map:{},viewport:{}},default:\"map\",requires:[\"line-translate\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"line-width\":{type:\"number\",default:1,minimum:0,transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"line-gap-width\":{type:\"number\",default:0,minimum:0,transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"line-offset\":{type:\"number\",default:0,transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"line-blur\":{type:\"number\",default:0,minimum:0,transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"line-dasharray\":{type:\"array\",value:\"number\",minimum:0,transition:!0,units:\"line widths\",requires:[{\"!\":\"line-pattern\"}],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"cross-faded\"},\"line-pattern\":{type:\"resolvedImage\",transition:!0,expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]},\"property-type\":\"cross-faded-data-driven\"},\"line-gradient\":{type:\"color\",transition:!1,requires:[{\"!\":\"line-dasharray\"},{\"!\":\"line-pattern\"},{source:\"geojson\",has:{lineMetrics:!0}}],expression:{interpolated:!0,parameters:[\"line-progress\"]},\"property-type\":\"color-ramp\"}},paint_circle:{\"circle-radius\":{type:\"number\",default:5,minimum:0,transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"circle-color\":{type:\"color\",default:\"#000000\",transition:!0,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"circle-blur\":{type:\"number\",default:0,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"circle-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"circle-translate\":{type:\"array\",value:\"number\",length:2,default:[0,0],transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"circle-translate-anchor\":{type:\"enum\",values:{map:{},viewport:{}},default:\"map\",requires:[\"circle-translate\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"circle-pitch-scale\":{type:\"enum\",values:{map:{},viewport:{}},default:\"map\",expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"circle-pitch-alignment\":{type:\"enum\",values:{map:{},viewport:{}},default:\"viewport\",expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"circle-stroke-width\":{type:\"number\",default:0,minimum:0,transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"circle-stroke-color\":{type:\"color\",default:\"#000000\",transition:!0,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"circle-stroke-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"}},paint_heatmap:{\"heatmap-radius\":{type:\"number\",default:30,minimum:1,transition:!0,units:\"pixels\",expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"heatmap-weight\":{type:\"number\",default:1,minimum:0,transition:!1,expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"heatmap-intensity\":{type:\"number\",default:1,minimum:0,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"heatmap-color\":{type:\"color\",default:[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,\"rgba(0, 0, 255, 0)\",.1,\"royalblue\",.3,\"cyan\",.5,\"lime\",.7,\"yellow\",1,\"red\"],transition:!1,expression:{interpolated:!0,parameters:[\"heatmap-density\"]},\"property-type\":\"color-ramp\"},\"heatmap-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"}},paint_symbol:{\"icon-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"icon-color\":{type:\"color\",default:\"#000000\",transition:!0,requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"icon-halo-color\":{type:\"color\",default:\"rgba(0, 0, 0, 0)\",transition:!0,requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"icon-halo-width\":{type:\"number\",default:0,minimum:0,transition:!0,units:\"pixels\",requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"icon-halo-blur\":{type:\"number\",default:0,minimum:0,transition:!0,units:\"pixels\",requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"icon-translate\":{type:\"array\",value:\"number\",length:2,default:[0,0],transition:!0,units:\"pixels\",requires:[\"icon-image\"],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"icon-translate-anchor\":{type:\"enum\",values:{map:{},viewport:{}},default:\"map\",requires:[\"icon-image\",\"icon-translate\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"text-color\":{type:\"color\",default:\"#000000\",transition:!0,overridable:!0,requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"text-halo-color\":{type:\"color\",default:\"rgba(0, 0, 0, 0)\",transition:!0,requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"text-halo-width\":{type:\"number\",default:0,minimum:0,transition:!0,units:\"pixels\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"text-halo-blur\":{type:\"number\",default:0,minimum:0,transition:!0,units:\"pixels\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\",\"feature\",\"feature-state\"]},\"property-type\":\"data-driven\"},\"text-translate\":{type:\"array\",value:\"number\",length:2,default:[0,0],transition:!0,units:\"pixels\",requires:[\"text-field\"],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"text-translate-anchor\":{type:\"enum\",values:{map:{},viewport:{}},default:\"map\",requires:[\"text-field\",\"text-translate\"],expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"}},paint_raster:{\"raster-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"raster-hue-rotate\":{type:\"number\",default:0,period:360,transition:!0,units:\"degrees\",expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"raster-brightness-min\":{type:\"number\",default:0,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"raster-brightness-max\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"raster-saturation\":{type:\"number\",default:0,minimum:-1,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"raster-contrast\":{type:\"number\",default:0,minimum:-1,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"raster-resampling\":{type:\"enum\",values:{linear:{},nearest:{}},default:\"linear\",expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"raster-fade-duration\":{type:\"number\",default:300,minimum:0,transition:!1,units:\"milliseconds\",expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"}},paint_hillshade:{\"hillshade-illumination-direction\":{type:\"number\",default:335,minimum:0,maximum:359,transition:!1,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"hillshade-illumination-anchor\":{type:\"enum\",values:{map:{},viewport:{}},default:\"viewport\",expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"hillshade-exaggeration\":{type:\"number\",default:.5,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"hillshade-shadow-color\":{type:\"color\",default:\"#000000\",transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"hillshade-highlight-color\":{type:\"color\",default:\"#FFFFFF\",transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"hillshade-accent-color\":{type:\"color\",default:\"#000000\",transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"}},paint_background:{\"background-color\":{type:\"color\",default:\"#000000\",transition:!0,requires:[{\"!\":\"background-pattern\"}],expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"},\"background-pattern\":{type:\"resolvedImage\",transition:!0,expression:{interpolated:!1,parameters:[\"zoom\"]},\"property-type\":\"cross-faded\"},\"background-opacity\":{type:\"number\",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:[\"zoom\"]},\"property-type\":\"data-constant\"}},transition:{duration:{type:\"number\",default:300,minimum:0,units:\"milliseconds\"},delay:{type:\"number\",default:0,minimum:0,units:\"milliseconds\"}},\"property-type\":{\"data-driven\":{type:\"property-type\"},\"cross-faded\":{type:\"property-type\"},\"cross-faded-data-driven\":{type:\"property-type\"},\"color-ramp\":{type:\"property-type\"},\"data-constant\":{type:\"property-type\"},constant:{type:\"property-type\"}},promoteId:{\"*\":{type:\"string\"}}},Ct=function(t,e,r,n){this.message=(t?t+\": \":\"\")+r,n&&(this.identifier=n),null!=e&&e.__line__&&(this.line=e.__line__)};function Pt(t){var e=t.key,r=t.value;return r?[new Ct(e,r,\"constants have been deprecated as of v8\")]:[]}function It(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,i=e;n<i.length;n+=1){var a=i[n];for(var o in a)t[o]=a[o]}return t}function Ot(t){return t instanceof Number||t instanceof String||t instanceof Boolean?t.valueOf():t}function zt(t){if(Array.isArray(t))return t.map(zt);if(t instanceof Object&&!(t instanceof Number||t instanceof String||t instanceof Boolean)){var e={};for(var r in t)e[r]=zt(t[r]);return e}return Ot(t)}var Dt=function(t){function e(e,r){t.call(this,r),this.message=r,this.key=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Error),Rt=function(t,e){void 0===e&&(e=[]),this.parent=t,this.bindings={};for(var r=0,n=e;r<n.length;r+=1){var i=n[r],a=i[0],o=i[1];this.bindings[a]=o}};Rt.prototype.concat=function(t){return new Rt(this,t)},Rt.prototype.get=function(t){if(this.bindings[t])return this.bindings[t];if(this.parent)return this.parent.get(t);throw new Error(t+\" not found in scope.\")},Rt.prototype.has=function(t){return!!this.bindings[t]||!!this.parent&&this.parent.has(t)};var Ft={kind:\"null\"},Bt={kind:\"number\"},Nt={kind:\"string\"},jt={kind:\"boolean\"},Ut={kind:\"color\"},Vt={kind:\"object\"},qt={kind:\"value\"},Ht={kind:\"collator\"},Gt={kind:\"formatted\"},Yt={kind:\"resolvedImage\"};function Wt(t,e){return{kind:\"array\",itemType:t,N:e}}function Xt(t){if(\"array\"===t.kind){var e=Xt(t.itemType);return\"number\"==typeof t.N?\"array<\"+e+\", \"+t.N+\">\":\"value\"===t.itemType.kind?\"array\":\"array<\"+e+\">\"}return t.kind}var Zt=[Ft,Bt,Nt,jt,Ut,Gt,Vt,Wt(qt),Yt];function Jt(t,e){if(\"error\"===e.kind)return null;if(\"array\"===t.kind){if(\"array\"===e.kind&&(0===e.N&&\"value\"===e.itemType.kind||!Jt(t.itemType,e.itemType))&&(\"number\"!=typeof t.N||t.N===e.N))return null}else{if(t.kind===e.kind)return null;if(\"value\"===t.kind)for(var r=0,n=Zt;r<n.length;r+=1){if(!Jt(n[r],e))return null}}return\"Expected \"+Xt(t)+\" but found \"+Xt(e)+\" instead.\"}function Kt(t,e){return e.some((function(e){return e.kind===t.kind}))}function Qt(t,e){return e.some((function(e){return\"null\"===e?null===t:\"array\"===e?Array.isArray(t):\"object\"===e?t&&!Array.isArray(t)&&\"object\"==typeof t:e===typeof t}))}var $t=e((function(t,e){var r={transparent:[0,0,0,0],aliceblue:[240,248,255,1],antiquewhite:[250,235,215,1],aqua:[0,255,255,1],aquamarine:[127,255,212,1],azure:[240,255,255,1],beige:[245,245,220,1],bisque:[255,228,196,1],black:[0,0,0,1],blanchedalmond:[255,235,205,1],blue:[0,0,255,1],blueviolet:[138,43,226,1],brown:[165,42,42,1],burlywood:[222,184,135,1],cadetblue:[95,158,160,1],chartreuse:[127,255,0,1],chocolate:[210,105,30,1],coral:[255,127,80,1],cornflowerblue:[100,149,237,1],cornsilk:[255,248,220,1],crimson:[220,20,60,1],cyan:[0,255,255,1],darkblue:[0,0,139,1],darkcyan:[0,139,139,1],darkgoldenrod:[184,134,11,1],darkgray:[169,169,169,1],darkgreen:[0,100,0,1],darkgrey:[169,169,169,1],darkkhaki:[189,183,107,1],darkmagenta:[139,0,139,1],darkolivegreen:[85,107,47,1],darkorange:[255,140,0,1],darkorchid:[153,50,204,1],darkred:[139,0,0,1],darksalmon:[233,150,122,1],darkseagreen:[143,188,143,1],darkslateblue:[72,61,139,1],darkslategray:[47,79,79,1],darkslategrey:[47,79,79,1],darkturquoise:[0,206,209,1],darkviolet:[148,0,211,1],deeppink:[255,20,147,1],deepskyblue:[0,191,255,1],dimgray:[105,105,105,1],dimgrey:[105,105,105,1],dodgerblue:[30,144,255,1],firebrick:[178,34,34,1],floralwhite:[255,250,240,1],forestgreen:[34,139,34,1],fuchsia:[255,0,255,1],gainsboro:[220,220,220,1],ghostwhite:[248,248,255,1],gold:[255,215,0,1],goldenrod:[218,165,32,1],gray:[128,128,128,1],green:[0,128,0,1],greenyellow:[173,255,47,1],grey:[128,128,128,1],honeydew:[240,255,240,1],hotpink:[255,105,180,1],indianred:[205,92,92,1],indigo:[75,0,130,1],ivory:[255,255,240,1],khaki:[240,230,140,1],lavender:[230,230,250,1],lavenderblush:[255,240,245,1],lawngreen:[124,252,0,1],lemonchiffon:[255,250,205,1],lightblue:[173,216,230,1],lightcoral:[240,128,128,1],lightcyan:[224,255,255,1],lightgoldenrodyellow:[250,250,210,1],lightgray:[211,211,211,1],lightgreen:[144,238,144,1],lightgrey:[211,211,211,1],lightpink:[255,182,193,1],lightsalmon:[255,160,122,1],lightseagreen:[32,178,170,1],lightskyblue:[135,206,250,1],lightslategray:[119,136,153,1],lightslategrey:[119,136,153,1],lightsteelblue:[176,196,222,1],lightyellow:[255,255,224,1],lime:[0,255,0,1],limegreen:[50,205,50,1],linen:[250,240,230,1],magenta:[255,0,255,1],maroon:[128,0,0,1],mediumaquamarine:[102,205,170,1],mediumblue:[0,0,205,1],mediumorchid:[186,85,211,1],mediumpurple:[147,112,219,1],mediumseagreen:[60,179,113,1],mediumslateblue:[123,104,238,1],mediumspringgreen:[0,250,154,1],mediumturquoise:[72,209,204,1],mediumvioletred:[199,21,133,1],midnightblue:[25,25,112,1],mintcream:[245,255,250,1],mistyrose:[255,228,225,1],moccasin:[255,228,181,1],navajowhite:[255,222,173,1],navy:[0,0,128,1],oldlace:[253,245,230,1],olive:[128,128,0,1],olivedrab:[107,142,35,1],orange:[255,165,0,1],orangered:[255,69,0,1],orchid:[218,112,214,1],palegoldenrod:[238,232,170,1],palegreen:[152,251,152,1],paleturquoise:[175,238,238,1],palevioletred:[219,112,147,1],papayawhip:[255,239,213,1],peachpuff:[255,218,185,1],peru:[205,133,63,1],pink:[255,192,203,1],plum:[221,160,221,1],powderblue:[176,224,230,1],purple:[128,0,128,1],rebeccapurple:[102,51,153,1],red:[255,0,0,1],rosybrown:[188,143,143,1],royalblue:[65,105,225,1],saddlebrown:[139,69,19,1],salmon:[250,128,114,1],sandybrown:[244,164,96,1],seagreen:[46,139,87,1],seashell:[255,245,238,1],sienna:[160,82,45,1],silver:[192,192,192,1],skyblue:[135,206,235,1],slateblue:[106,90,205,1],slategray:[112,128,144,1],slategrey:[112,128,144,1],snow:[255,250,250,1],springgreen:[0,255,127,1],steelblue:[70,130,180,1],tan:[210,180,140,1],teal:[0,128,128,1],thistle:[216,191,216,1],tomato:[255,99,71,1],turquoise:[64,224,208,1],violet:[238,130,238,1],wheat:[245,222,179,1],white:[255,255,255,1],whitesmoke:[245,245,245,1],yellow:[255,255,0,1],yellowgreen:[154,205,50,1]};function n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),c=i.indexOf(\")\");if(-1!==l&&c+1===i.length){var u=i.substr(0,l),f=i.substr(l+1,c-(l+1)).split(\",\"),h=1;switch(u){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return null;h=o(f.pop());case\"hsl\":if(3!==f.length)return null;var p=(parseFloat(f[0])%360+360)%360/360,d=o(f[1]),m=o(f[2]),g=m<=.5?m*(d+1):m+d-m*d,v=2*m-g;return[n(255*s(v,g,p+1/3)),n(255*s(v,g,p)),n(255*s(v,g,p-1/3)),h];default:return null}}return null}}catch(t){}})).parseCSSColor,te=function(t,e,r,n){void 0===n&&(n=1),this.r=t,this.g=e,this.b=r,this.a=n};te.parse=function(t){if(t){if(t instanceof te)return t;if(\"string\"==typeof t){var e=$t(t);if(e)return new te(e[0]/255*e[3],e[1]/255*e[3],e[2]/255*e[3],e[3])}}},te.prototype.toString=function(){var t=this.toArray(),e=t[0],r=t[1],n=t[2],i=t[3];return\"rgba(\"+Math.round(e)+\",\"+Math.round(r)+\",\"+Math.round(n)+\",\"+i+\")\"},te.prototype.toArray=function(){var t=this.r,e=this.g,r=this.b,n=this.a;return 0===n?[0,0,0,0]:[255*t/n,255*e/n,255*r/n,n]},te.black=new te(0,0,0,1),te.white=new te(1,1,1,1),te.transparent=new te(0,0,0,0),te.red=new te(1,0,0,1);var ee=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};ee.prototype.compare=function(t,e){return this.collator.compare(t,e)},ee.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var re=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ne=function(t){this.sections=t};ne.fromString=function(t){return new ne([new re(t,null,null,null,null)])},ne.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ne.factory=function(t){return t instanceof ne?t:ne.fromString(t)},ne.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ne.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ie=function(t){this.name=t.name,this.available=t.available};function ae(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function oe(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof te)return!0;if(t instanceof ee)return!0;if(t instanceof ne)return!0;if(t instanceof ie)return!0;if(Array.isArray(t)){for(var e=0,r=t;e<r.length;e+=1){if(!oe(r[e]))return!1}return!0}if(\"object\"==typeof t){for(var n in t)if(!oe(t[n]))return!1;return!0}return!1}function se(t){if(null===t)return Ft;if(\"string\"==typeof t)return Nt;if(\"boolean\"==typeof t)return jt;if(\"number\"==typeof t)return Bt;if(t instanceof te)return Ut;if(t instanceof ee)return Ht;if(t instanceof ne)return Gt;if(t instanceof ie)return Yt;if(Array.isArray(t)){for(var e,r=t.length,n=0,i=t;n<i.length;n+=1){var a=se(i[n]);if(e){if(e===a)continue;e=qt;break}e=a}return Wt(e||qt,r)}return Vt}function le(t){var e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof te||t instanceof ne||t instanceof ie?t.toString():JSON.stringify(t)}ie.prototype.toString=function(){return this.name},ie.fromString=function(t){return t?new ie({name:t,available:!1}):null},ie.prototype.serialize=function(){return[\"image\",this.name]};var ce=function(t,e){this.type=t,this.value=e};ce.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!oe(t[1]))return e.error(\"invalid value\");var r=t[1],n=se(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ce(n,r)},ce.prototype.evaluate=function(){return this.value},ce.prototype.eachChild=function(){},ce.prototype.outputDefined=function(){return!0},ce.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof te?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ne?this.value.serialize():this.value};var ue=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ue.prototype.toJSON=function(){return this.message};var fe={string:Nt,number:Bt,boolean:jt,object:Vt},he=function(t,e){this.type=t,this.args=e};he.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in fe)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=fe[s],n++}else a=qt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=Wt(a,o)}else r=fe[i];for(var l=[];n<t.length;n++){var c=e.parse(t[n],n,qt);if(!c)return null;l.push(c)}return new he(r,l)},he.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!Jt(this.type,se(r)))return r;if(e===this.args.length-1)throw new ue(\"Expected value to be of type \"+Xt(this.type)+\", but found \"+Xt(se(r))+\" instead.\")}return null},he.prototype.eachChild=function(t){this.args.forEach(t)},he.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},he.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var pe=function(t){this.type=Gt,this.sections=t};pe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Bt)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,Wt(Nt))))return null;var c=null;if(o[\"text-color\"]&&!(c=e.parse(o[\"text-color\"],1,Ut)))return null;var u=n[n.length-1];u.scale=s,u.font=l,u.textColor=c}else{var f=e.parse(t[a],1,qt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new pe(n)},pe.prototype.evaluate=function(t){return new ne(this.sections.map((function(e){var r=e.content.evaluate(t);return se(r)===Yt?new re(\"\",r,null,null,null):new re(le(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},pe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},pe.prototype.outputDefined=function(){return!1},pe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var de=function(t){this.type=Yt,this.input=t};de.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,Nt);return r?new de(r):e.error(\"No image name provided.\")},de.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ie.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},de.prototype.eachChild=function(t){t(this.input)},de.prototype.outputDefined=function(){return!1},de.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var me={\"to-boolean\":jt,\"to-color\":Ut,\"to-number\":Bt,\"to-string\":Nt},ge=function(t,e){this.type=t,this.args=e};ge.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[0];if((\"to-boolean\"===r||\"to-string\"===r)&&2!==t.length)return e.error(\"Expected one argument.\");for(var n=me[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,qt);if(!o)return null;i.push(o)}return new ge(n,i)},ge.prototype.evaluate=function(t){if(\"boolean\"===this.type.kind)return Boolean(this.args[0].evaluate(t));if(\"color\"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof te)return e;if(\"string\"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?\"Invalid rbga value \"+JSON.stringify(e)+\": expected an array containing either three or four numeric values.\":ae(e[0],e[1],e[2],e[3])))return new te(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new ue(r||\"Could not parse color from value '\"+(\"string\"==typeof e?e:String(JSON.stringify(e)))+\"'\")}if(\"number\"===this.type.kind){for(var o=null,s=0,l=this.args;s<l.length;s+=1){if(null===(o=l[s].evaluate(t)))return 0;var c=Number(o);if(!isNaN(c))return c}throw new ue(\"Could not convert \"+JSON.stringify(o)+\" to number.\")}return\"formatted\"===this.type.kind?ne.fromString(le(this.args[0].evaluate(t))):\"resolvedImage\"===this.type.kind?ie.fromString(le(this.args[0].evaluate(t))):le(this.args[0].evaluate(t))},ge.prototype.eachChild=function(t){this.args.forEach(t)},ge.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ge.prototype.serialize=function(){if(\"formatted\"===this.type.kind)return new pe([{content:this.args[0],scale:null,font:null,textColor:null}]).serialize();if(\"resolvedImage\"===this.type.kind)return new de(this.args[0]).serialize();var t=[\"to-\"+this.type.kind];return this.eachChild((function(e){t.push(e.serialize())})),t};var ve=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],ye=function(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null};ye.prototype.id=function(){return this.feature&&\"id\"in this.feature?this.feature.id:null},ye.prototype.geometryType=function(){return this.feature?\"number\"==typeof this.feature.type?ve[this.feature.type]:this.feature.type:null},ye.prototype.geometry=function(){return this.feature&&\"geometry\"in this.feature?this.feature.geometry:null},ye.prototype.canonicalID=function(){return this.canonical},ye.prototype.properties=function(){return this.feature&&this.feature.properties||{}},ye.prototype.parseColor=function(t){var e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=te.parse(t)),e};var xe=function(t,e,r,n){this.name=t,this.type=e,this._evaluate=r,this.args=n};xe.prototype.evaluate=function(t){return this._evaluate(t,this.args)},xe.prototype.eachChild=function(t){this.args.forEach(t)},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){return[this.name].concat(this.args.map((function(t){return t.serialize()})))},xe.parse=function(t,e){var r,n=t[0],i=xe.definitions[n];if(!i)return e.error('Unknown expression \"'+n+'\". If you wanted a literal array, use [\"literal\", [...]].',0);for(var a=Array.isArray(i)?i[0]:i.type,o=Array.isArray(i)?[[i[1],i[2]]]:i.overloads,s=o.filter((function(e){var r=e[0];return!Array.isArray(r)||r.length===t.length-1})),l=null,c=0,u=s;c<u.length;c+=1){var f=u[c],h=f[0],p=f[1];l=new Ue(e.registry,e.path,null,e.scope);for(var d=[],m=!1,g=1;g<t.length;g++){var v=t[g],y=Array.isArray(h)?h[g-1]:h.type,x=l.parse(v,1+d.length,y);if(!x){m=!0;break}d.push(x)}if(!m)if(Array.isArray(h)&&h.length!==d.length)l.error(\"Expected \"+h.length+\" arguments, but found \"+d.length+\" instead.\");else{for(var b=0;b<d.length;b++){var _=Array.isArray(h)?h[b]:h.type,w=d[b];l.concat(b+1).checkSubtype(_,w.type)}if(0===l.errors.length)return new xe(n,a,p,d)}}if(1===s.length)(r=e.errors).push.apply(r,l.errors);else{for(var T=(s.length?s:o).map((function(t){var e,r=t[0];return e=r,Array.isArray(e)?\"(\"+e.map(Xt).join(\", \")+\")\":\"(\"+Xt(e.type)+\"...)\"})).join(\" | \"),k=[],M=1;M<t.length;M++){var A=e.parse(t[M],1+k.length);if(!A)return null;k.push(Xt(A.type))}e.error(\"Expected arguments of type \"+T+\", but found (\"+k.join(\", \")+\") instead.\")}return null},xe.register=function(t,e){for(var r in xe.definitions=e,e)t[r]=xe};var be=function(t,e,r){this.type=Ht,this.locale=r,this.caseSensitive=t,this.diacriticSensitive=e};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected one argument.\");var r=t[1];if(\"object\"!=typeof r||Array.isArray(r))return e.error(\"Collator options argument must be an object.\");var n=e.parse(void 0!==r[\"case-sensitive\"]&&r[\"case-sensitive\"],1,jt);if(!n)return null;var i=e.parse(void 0!==r[\"diacritic-sensitive\"]&&r[\"diacritic-sensitive\"],1,jt);if(!i)return null;var a=null;return r.locale&&!(a=e.parse(r.locale,1,Nt))?null:new be(n,i,a)},be.prototype.evaluate=function(t){return new ee(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)},be.prototype.eachChild=function(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){var t={};return t[\"case-sensitive\"]=this.caseSensitive.serialize(),t[\"diacritic-sensitive\"]=this.diacriticSensitive.serialize(),this.locale&&(t.locale=this.locale.serialize()),[\"collator\",t]};function _e(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function we(t,e){return!(t[0]<=e[0])&&(!(t[2]>=e[2])&&(!(t[1]<=e[1])&&!(t[3]>=e[3])))}function Te(t,e){var r,n=(180+t[0])/360,i=(r=t[1],(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+r*Math.PI/360)))/360),a=Math.pow(2,e.z);return[Math.round(n*a*8192),Math.round(i*a*8192)]}function ke(t,e,r){return e[1]>t[1]!=r[1]>t[1]&&t[0]<(r[0]-e[0])*(t[1]-e[1])/(r[1]-e[1])+e[0]}function Me(t,e){for(var r,n,i,a,o,s,l,c=!1,u=0,f=e.length;u<f;u++)for(var h=e[u],p=0,d=h.length;p<d-1;p++){if(r=t,n=h[p],i=h[p+1],a=void 0,o=void 0,s=void 0,l=void 0,a=r[0]-n[0],o=r[1]-n[1],s=r[0]-i[0],l=r[1]-i[1],a*l-s*o==0&&a*s<=0&&o*l<=0)return!1;ke(t,h[p],h[p+1])&&(c=!c)}return c}function Ae(t,e){for(var r=0;r<e.length;r++)if(Me(t,e[r]))return!0;return!1}function Se(t,e,r,n){var i=t[0]-r[0],a=t[1]-r[1],o=e[0]-r[0],s=e[1]-r[1],l=n[0]-r[0],c=n[1]-r[1],u=i*c-l*a,f=o*c-l*s;return u>0&&f<0||u<0&&f>0}function Ee(t,e,r){for(var n=0,i=r;n<i.length;n+=1)for(var a=i[n],o=0;o<a.length-1;++o)if(s=t,l=e,c=a[o],u=a[o+1],f=void 0,h=void 0,p=void 0,d=void 0,p=[l[0]-s[0],l[1]-s[1]],d=[u[0]-c[0],u[1]-c[1]],0!=(f=d)[0]*(h=p)[1]-f[1]*h[0]&&Se(s,l,c,u)&&Se(c,u,s,l))return!0;var s,l,c,u,f,h,p,d;return!1}function Le(t,e){for(var r=0;r<t.length;++r)if(!Me(t[r],e))return!1;for(var n=0;n<t.length-1;++n)if(Ee(t[n],t[n+1],e))return!1;return!0}function Ce(t,e){for(var r=0;r<e.length;r++)if(Le(t,e[r]))return!0;return!1}function Pe(t,e,r){for(var n=[],i=0;i<t.length;i++){for(var a=[],o=0;o<t[i].length;o++){var s=Te(t[i][o],r);_e(e,s),a.push(s)}n.push(a)}return n}function Ie(t,e,r){for(var n=[],i=0;i<t.length;i++){var a=Pe(t[i],e,r);n.push(a)}return n}function Oe(t,e,r,n){if(t[0]<r[0]||t[0]>r[2]){var i=.5*n,a=t[0]-r[0]>i?-n:r[0]-t[0]>i?n:0;0===a&&(a=t[0]-r[2]>i?-n:r[2]-t[0]>i?n:0),t[0]+=a}_e(e,t)}function ze(t,e,r,n){for(var i=8192*Math.pow(2,n.z),a=[8192*n.x,8192*n.y],o=[],s=0,l=t;s<l.length;s+=1)for(var c=0,u=l[s];c<u.length;c+=1){var f=u[c],h=[f.x+a[0],f.y+a[1]];Oe(h,e,r,i),o.push(h)}return o}function De(t,e,r,n){for(var i,a=8192*Math.pow(2,n.z),o=[8192*n.x,8192*n.y],s=[],l=0,c=t;l<c.length;l+=1){for(var u=[],f=0,h=c[l];f<h.length;f+=1){var p=h[f],d=[p.x+o[0],p.y+o[1]];_e(e,d),u.push(d)}s.push(u)}if(e[2]-e[0]<=a/2){(i=e)[0]=i[1]=1/0,i[2]=i[3]=-1/0;for(var m=0,g=s;m<g.length;m+=1)for(var v=0,y=g[m];v<y.length;v+=1){Oe(y[v],e,r,a)}}return s}var Re=function(t,e){this.type=jt,this.geojson=t,this.geometries=e};function Fe(t){if(t instanceof xe){if(\"get\"===t.name&&1===t.args.length)return!1;if(\"feature-state\"===t.name)return!1;if(\"has\"===t.name&&1===t.args.length)return!1;if(\"properties\"===t.name||\"geometry-type\"===t.name||\"id\"===t.name)return!1;if(/^filter-/.test(t.name))return!1}if(t instanceof Re)return!1;var e=!0;return t.eachChild((function(t){e&&!Fe(t)&&(e=!1)})),e}function Be(t){if(t instanceof xe&&\"feature-state\"===t.name)return!1;var e=!0;return t.eachChild((function(t){e&&!Be(t)&&(e=!1)})),e}function Ne(t,e){if(t instanceof xe&&e.indexOf(t.name)>=0)return!1;var r=!0;return t.eachChild((function(t){r&&!Ne(t,e)&&(r=!1)})),r}Re.parse=function(t,e){if(2!==t.length)return e.error(\"'within' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(oe(t[1])){var r=t[1];if(\"FeatureCollection\"===r.type)for(var n=0;n<r.features.length;++n){var i=r.features[n].geometry.type;if(\"Polygon\"===i||\"MultiPolygon\"===i)return new Re(r,r.features[n].geometry)}else if(\"Feature\"===r.type){var a=r.geometry.type;if(\"Polygon\"===a||\"MultiPolygon\"===a)return new Re(r,r.geometry)}else if(\"Polygon\"===r.type||\"MultiPolygon\"===r.type)return new Re(r,r)}return e.error(\"'within' expression requires valid geojson object that contains polygon geometry type.\")},Re.prototype.evaluate=function(t){if(null!=t.geometry()&&null!=t.canonicalID()){if(\"Point\"===t.geometryType())return function(t,e){var r=[1/0,1/0,-1/0,-1/0],n=[1/0,1/0,-1/0,-1/0],i=t.canonicalID();if(\"Polygon\"===e.type){var a=Pe(e.coordinates,n,i),o=ze(t.geometry(),r,n,i);if(!we(r,n))return!1;for(var s=0,l=o;s<l.length;s+=1){if(!Me(l[s],a))return!1}}if(\"MultiPolygon\"===e.type){var c=Ie(e.coordinates,n,i),u=ze(t.geometry(),r,n,i);if(!we(r,n))return!1;for(var f=0,h=u;f<h.length;f+=1){if(!Ae(h[f],c))return!1}}return!0}(t,this.geometries);if(\"LineString\"===t.geometryType())return function(t,e){var r=[1/0,1/0,-1/0,-1/0],n=[1/0,1/0,-1/0,-1/0],i=t.canonicalID();if(\"Polygon\"===e.type){var a=Pe(e.coordinates,n,i),o=De(t.geometry(),r,n,i);if(!we(r,n))return!1;for(var s=0,l=o;s<l.length;s+=1){if(!Le(l[s],a))return!1}}if(\"MultiPolygon\"===e.type){var c=Ie(e.coordinates,n,i),u=De(t.geometry(),r,n,i);if(!we(r,n))return!1;for(var f=0,h=u;f<h.length;f+=1){if(!Ce(h[f],c))return!1}}return!0}(t,this.geometries)}return!1},Re.prototype.eachChild=function(){},Re.prototype.outputDefined=function(){return!0},Re.prototype.serialize=function(){return[\"within\",this.geojson]};var je=function(t,e){this.type=e.type,this.name=t,this.boundExpression=e};je.parse=function(t,e){if(2!==t.length||\"string\"!=typeof t[1])return e.error(\"'var' expression requires exactly one string literal argument.\");var r=t[1];return e.scope.has(r)?new je(r,e.scope.get(r)):e.error('Unknown variable \"'+r+'\". Make sure \"'+r+'\" has been bound in an enclosing \"let\" expression before using it.',1)},je.prototype.evaluate=function(t){return this.boundExpression.evaluate(t)},je.prototype.eachChild=function(){},je.prototype.outputDefined=function(){return!1},je.prototype.serialize=function(){return[\"var\",this.name]};var Ue=function(t,e,r,n,i){void 0===e&&(e=[]),void 0===n&&(n=new Rt),void 0===i&&(i=[]),this.registry=t,this.path=e,this.key=e.map((function(t){return\"[\"+t+\"]\"})).join(\"\"),this.scope=n,this.errors=i,this.expectedType=r};function Ve(t,e){for(var r,n,i=t.length-1,a=0,o=i,s=0;a<=o;)if(r=t[s=Math.floor((a+o)/2)],n=t[s+1],r<=e){if(s===i||e<n)return s;a=s+1}else{if(!(r>e))throw new ue(\"Input is not a number.\");o=s-1}return 0}Ue.prototype.parse=function(t,e,r,n,i){return void 0===i&&(i={}),e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)},Ue.prototype._parse=function(t,e){function r(t,e,r){return\"assert\"===r?new he(e,[t]):\"coerce\"===r?new ge(e,[t]):t}if(null!==t&&\"string\"!=typeof t&&\"boolean\"!=typeof t&&\"number\"!=typeof t||(t=[\"literal\",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. If you wanted a literal array, use [\"literal\", []].');var n=t[0];if(\"string\"!=typeof n)return this.error(\"Expression name must be a string, but found \"+typeof n+' instead. If you wanted a literal array, use [\"literal\", [...]].',0),null;var i=this.registry[n];if(i){var a=i.parse(t,this);if(!a)return null;if(this.expectedType){var o=this.expectedType,s=a.type;if(\"string\"!==o.kind&&\"number\"!==o.kind&&\"boolean\"!==o.kind&&\"object\"!==o.kind&&\"array\"!==o.kind||\"value\"!==s.kind)if(\"color\"!==o.kind&&\"formatted\"!==o.kind&&\"resolvedImage\"!==o.kind||\"value\"!==s.kind&&\"string\"!==s.kind){if(this.checkSubtype(o,s))return null}else a=r(a,o,e.typeAnnotation||\"coerce\");else a=r(a,o,e.typeAnnotation||\"assert\")}if(!(a instanceof ce)&&\"resolvedImage\"!==a.type.kind&&function t(e){if(e instanceof je)return t(e.boundExpression);if(e instanceof xe&&\"error\"===e.name)return!1;if(e instanceof be)return!1;if(e instanceof Re)return!1;var r=e instanceof ge||e instanceof he,n=!0;if(e.eachChild((function(e){n=r?n&&t(e):n&&e instanceof ce})),!n)return!1;return Fe(e)&&Ne(e,[\"zoom\",\"heatmap-density\",\"line-progress\",\"accumulated\",\"is-supported-script\"])}(a)){var l=new ye;try{a=new ce(a.type,a.evaluate(l))}catch(t){return this.error(t.message),null}}return a}return this.error('Unknown expression \"'+n+'\". If you wanted a literal array, use [\"literal\", [...]].',0)}return void 0===t?this.error(\"'undefined' value invalid. Use null instead.\"):\"object\"==typeof t?this.error('Bare objects invalid. Use [\"literal\", {...}] instead.'):this.error(\"Expected an array, but found \"+typeof t+\" instead.\")},Ue.prototype.concat=function(t,e,r){var n=\"number\"==typeof t?this.path.concat(t):this.path,i=r?this.scope.concat(r):this.scope;return new Ue(this.registry,n,e||null,i,this.errors)},Ue.prototype.error=function(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];var n=\"\"+this.key+e.map((function(t){return\"[\"+t+\"]\"})).join(\"\");this.errors.push(new Dt(n,t))},Ue.prototype.checkSubtype=function(t,e){var r=Jt(t,e);return r&&this.error(r),r};var qe=function(t,e,r){this.type=t,this.input=e,this.labels=[],this.outputs=[];for(var n=0,i=r;n<i.length;n+=1){var a=i[n],o=a[0],s=a[1];this.labels.push(o),this.outputs.push(s)}};function He(t,e,r){return t*(1-r)+e*r}qe.parse=function(t,e){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.\");var 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 qe(i,r,n)},qe.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)},qe.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},qe.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},qe.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:He,color:function(t,e,r){return new te(He(t.r,e.r,r),He(t.g,e.g,r),He(t.b,e.b,r),He(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return He(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:He(t.l,e.l,r),a:He(t.a,e.a,r),b:He(t.b,e.b,r),alpha:He(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:He(t.c,e.c,r),l:He(t.l,e.l,r),alpha:He(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 \"interpolate\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',p);if(l.length&&l[l.length-1][0]>=f)return e.error('Input/output pairs for \"interpolate\" expressions must be arranged with input values in strictly ascending order.',p);var m=e.parse(h,d,c);if(!m)return null;c=c||m.type,l.push([f,m])}return\"number\"===c.kind||\"color\"===c.kind||\"array\"===c.kind&&\"number\"===c.itemType.kind&&\"number\"==typeof c.N?new or(c,r,n,i,l):e.error(\"Type \"+Xt(c)+\" is not interpolatable.\")},or.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;if(n>=e[i-1])return r[i-1].evaluate(t);var 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?qt: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||qt));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,qt),n=e.parse(t[2],2,qt);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,qt])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,qt),n=e.parse(t[2],2,qt);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,qt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,f=s;u<f.length;u+=1){var h=f[u];if(\"number\"!=typeof h&&\"string\"!=typeof h)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof h&&Math.abs(h)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof h&&Math.floor(h)!==h)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,se(h)))return null}else r=se(h);if(void 0!==i[String(h)])return c.error(\"Branch labels must be unique.\");i[String(h)]=a.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,a.push(p)}var d=e.parse(t[1],1,qt);if(!d)return null;var m=e.parse(t[t.length-1],t.length-1,n);return 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 t[1].outputDefined()}))&&this.otherwise.outputDefined()},dr.prototype.serialize=function(){var t=[\"case\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var mr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function gr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function vr(t,e,r,n){return 0===n.compare(e,r)}function yr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=jt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,qt);if(!a)return null;if(!gr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Xt(a.type)+\"'.\");var o=e.parse(t[2],2,qt);if(!o)return null;if(!gr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Xt(o.type)+\"'.\");if(a.type.kind!==o.type.kind&&\"value\"!==a.type.kind&&\"value\"!==o.type.kind)return e.error(\"Cannot compare types '\"+Xt(a.type)+\"' and '\"+Xt(o.type)+\"'.\");n&&(\"value\"===a.type.kind&&\"value\"!==o.type.kind?a=new he(o.type,[a]):\"value\"!==a.type.kind&&\"value\"===o.type.kind&&(o=new he(a.type,[o])));var s=null;if(4===t.length){if(\"string\"!==a.type.kind&&\"string\"!==o.type.kind&&\"value\"!==a.type.kind&&\"value\"!==o.type.kind)return e.error(\"Cannot use collator to compare non-string types.\");if(!(s=e.parse(t[3],3,Ht)))return null}return new i(a,o,s)},i.prototype.evaluate=function(i){var a=this.lhs.evaluate(i),o=this.rhs.evaluate(i);if(n&&this.hasUntypedArgument){var s=se(a),l=se(o);if(s.kind!==l.kind||\"string\"!==s.kind&&\"number\"!==s.kind)throw new ue('Expected arguments for \"'+t+'\" to be (string, string) or (number, number), but found ('+s.kind+\", \"+l.kind+\") instead.\")}if(this.collator&&!n&&this.hasUntypedArgument){var c=se(a),u=se(o);if(\"string\"!==c.kind||\"string\"!==u.kind)return e(i,a,o)}return this.collator?r(i,a,o,this.collator.evaluate(i)):e(i,a,o)},i.prototype.eachChild=function(t){t(this.lhs),t(this.rhs),this.collator&&t(this.collator)},i.prototype.outputDefined=function(){return!0},i.prototype.serialize=function(){var e=[t];return this.eachChild((function(t){e.push(t.serialize())})),e},i}()}mr.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,qt),n=e.parse(t[2],2,Bt);if(!r||!n)return null;if(!Kt(r.type,[Wt(qt),Nt,qt]))return e.error(\"Expected first argument to be of type array or string, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new mr(r.type,r,n,i):null}return new mr(r.type,r,n)},mr.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!Qt(e,[\"string\",\"array\"]))throw new ue(\"Expected first argument to be of type array or string, but found \"+Xt(se(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},mr.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},mr.prototype.outputDefined=function(){return!1},mr.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var xr=yr(\"==\",(function(t,e,r){return e===r}),vr),br=yr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!vr(0,e,r,n)})),_r=yr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return n.compare(e,r)<0})),wr=yr(\">\",(function(t,e,r){return e>r}),(function(t,e,r,n){return n.compare(e,r)>0})),Tr=yr(\"<=\",(function(t,e,r){return e<=r}),(function(t,e,r,n){return n.compare(e,r)<=0})),kr=yr(\">=\",(function(t,e,r){return e>=r}),(function(t,e,r,n){return n.compare(e,r)>=0})),Mr=function(t,e,r,n,i){this.type=Nt,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i};Mr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,Bt);if(!r)return null;var n=t[2];if(\"object\"!=typeof n||Array.isArray(n))return e.error(\"NumberFormat options argument must be an object.\");var i=null;if(n.locale&&!(i=e.parse(n.locale,1,Nt)))return null;var a=null;if(n.currency&&!(a=e.parse(n.currency,1,Nt)))return null;var o=null;if(n[\"min-fraction-digits\"]&&!(o=e.parse(n[\"min-fraction-digits\"],1,Bt)))return null;var s=null;return n[\"max-fraction-digits\"]&&!(s=e.parse(n[\"max-fraction-digits\"],1,Bt))?null:new Mr(r,i,a,o,s)},Mr.prototype.evaluate=function(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))},Mr.prototype.eachChild=function(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){var t={};return this.locale&&(t.locale=this.locale.serialize()),this.currency&&(t.currency=this.currency.serialize()),this.minFractionDigits&&(t[\"min-fraction-digits\"]=this.minFractionDigits.serialize()),this.maxFractionDigits&&(t[\"max-fraction-digits\"]=this.maxFractionDigits.serialize()),[\"number-format\",this.number.serialize(),t]};var Ar=function(t){this.type=Bt,this.input=t};Ar.parse=function(t,e){if(2!==t.length)return e.error(\"Expected 1 argument, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1);return r?\"array\"!==r.type.kind&&\"string\"!==r.type.kind&&\"value\"!==r.type.kind?e.error(\"Expected argument of type string or array, but found \"+Xt(r.type)+\" instead.\"):new Ar(r):null},Ar.prototype.evaluate=function(t){var e=this.input.evaluate(t);if(\"string\"==typeof e)return e.length;if(Array.isArray(e))return e.length;throw new ue(\"Expected value to be of type string or array, but found \"+Xt(se(e))+\" instead.\")},Ar.prototype.eachChild=function(t){t(this.input)},Ar.prototype.outputDefined=function(){return!1},Ar.prototype.serialize=function(){var t=[\"length\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Sr={\"==\":xr,\"!=\":br,\">\":wr,\"<\":_r,\">=\":kr,\"<=\":Tr,array:he,at:ur,boolean:he,case:dr,coalesce:lr,collator:be,format:pe,image:de,in:fr,\"index-of\":hr,interpolate:or,\"interpolate-hcl\":or,\"interpolate-lab\":or,length:Ar,let:cr,literal:ce,match:pr,number:he,\"number-format\":Mr,object:he,slice:mr,step:qe,string:he,\"to-boolean\":ge,\"to-color\":ge,\"to-number\":ge,\"to-string\":ge,var:je,within:Re};function Er(t,e){var r=e[0],n=e[1],i=e[2],a=e[3];r=r.evaluate(t),n=n.evaluate(t),i=i.evaluate(t);var o=a?a.evaluate(t):1,s=ae(r,n,i,o);if(s)throw new ue(s);return new te(r/255*o,n/255*o,i/255*o,o)}function Lr(t,e){return t in e}function Cr(t,e){var r=e[t];return void 0===r?null:r}function Pr(t){return{type:t}}function Ir(t){return{result:\"success\",value:t}}function Or(t){return{result:\"error\",value:t}}function zr(t){return\"data-driven\"===t[\"property-type\"]||\"cross-faded-data-driven\"===t[\"property-type\"]}function Dr(t){return!!t.expression&&t.expression.parameters.indexOf(\"zoom\")>-1}function Rr(t){return!!t.expression&&t.expression.interpolated}function Fr(t){return t instanceof Number?\"number\":t instanceof String?\"string\":t instanceof Boolean?\"boolean\":Array.isArray(t)?\"array\":null===t?\"null\":typeof t}function Br(t){return\"object\"==typeof t&&null!==t&&!Array.isArray(t)}function Nr(t){return t}function jr(t,e,r){return void 0!==t?t:void 0!==e?e:void 0!==r?r:void 0}function Ur(t,e,r,n,i){return jr(typeof r===i?n[r]:void 0,t.default,e.default)}function Vr(t,e,r){if(\"number\"!==Fr(r))return jr(t.default,e.default);var n=t.stops.length;if(1===n)return t.stops[0][1];if(r<=t.stops[0][0])return t.stops[0][1];if(r>=t.stops[n-1][0])return t.stops[n-1][1];var i=Ve(t.stops.map((function(t){return t[0]})),r);return t.stops[i][1]}function qr(t,e,r){var n=void 0!==t.base?t.base:1;if(\"number\"!==Fr(r))return jr(t.default,e.default);var i=t.stops.length;if(1===i)return t.stops[0][1];if(r<=t.stops[0][0])return t.stops[0][1];if(r>=t.stops[i-1][0])return t.stops[i-1][1];var a=Ve(t.stops.map((function(t){return t[0]})),r),o=function(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)}(r,n,t.stops[a][0],t.stops[a+1][0]),s=t.stops[a][1],l=t.stops[a+1][1],c=Ge[e.type]||Nr;if(t.colorSpace&&\"rgb\"!==t.colorSpace){var u=ar[t.colorSpace];c=function(t,e){return u.reverse(u.interpolate(u.forward(t),u.forward(e),o))}}return\"function\"==typeof s.evaluate?{evaluate:function(){for(var t=[],e=arguments.length;e--;)t[e]=arguments[e];var r=s.evaluate.apply(void 0,t),n=l.evaluate.apply(void 0,t);if(void 0!==r&&void 0!==n)return c(r,n,o)}}:c(s,l,o)}function Hr(t,e,r){return\"color\"===e.type?r=te.parse(r):\"formatted\"===e.type?r=ne.fromString(r.toString()):\"resolvedImage\"===e.type?r=ie.fromString(r.toString()):Fr(r)===e.type||\"enum\"===e.type&&e.values[r]||(r=void 0),jr(r,t.default,e.default)}xe.register(Sr,{error:[{kind:\"error\"},[Nt],function(t,e){var r=e[0];throw new ue(r.evaluate(t))}],typeof:[Nt,[qt],function(t,e){return Xt(se(e[0].evaluate(t)))}],\"to-rgba\":[Wt(Bt,4),[Ut],function(t,e){return e[0].evaluate(t).toArray()}],rgb:[Ut,[Bt,Bt,Bt],Er],rgba:[Ut,[Bt,Bt,Bt,Bt],Er],has:{type:jt,overloads:[[[Nt],function(t,e){return Lr(e[0].evaluate(t),t.properties())}],[[Nt,Vt],function(t,e){var r=e[0],n=e[1];return Lr(r.evaluate(t),n.evaluate(t))}]]},get:{type:qt,overloads:[[[Nt],function(t,e){return Cr(e[0].evaluate(t),t.properties())}],[[Nt,Vt],function(t,e){var r=e[0],n=e[1];return Cr(r.evaluate(t),n.evaluate(t))}]]},\"feature-state\":[qt,[Nt],function(t,e){return Cr(e[0].evaluate(t),t.featureState||{})}],properties:[Vt,[],function(t){return t.properties()}],\"geometry-type\":[Nt,[],function(t){return t.geometryType()}],id:[qt,[],function(t){return t.id()}],zoom:[Bt,[],function(t){return t.globals.zoom}],\"heatmap-density\":[Bt,[],function(t){return t.globals.heatmapDensity||0}],\"line-progress\":[Bt,[],function(t){return t.globals.lineProgress||0}],accumulated:[qt,[],function(t){return void 0===t.globals.accumulated?null:t.globals.accumulated}],\"+\":[Bt,Pr(Bt),function(t,e){for(var r=0,n=0,i=e;n<i.length;n+=1){r+=i[n].evaluate(t)}return r}],\"*\":[Bt,Pr(Bt),function(t,e){for(var r=1,n=0,i=e;n<i.length;n+=1){r*=i[n].evaluate(t)}return r}],\"-\":{type:Bt,overloads:[[[Bt,Bt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)-n.evaluate(t)}],[[Bt],function(t,e){return-e[0].evaluate(t)}]]},\"/\":[Bt,[Bt,Bt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)/n.evaluate(t)}],\"%\":[Bt,[Bt,Bt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)%n.evaluate(t)}],ln2:[Bt,[],function(){return Math.LN2}],pi:[Bt,[],function(){return Math.PI}],e:[Bt,[],function(){return Math.E}],\"^\":[Bt,[Bt,Bt],function(t,e){var r=e[0],n=e[1];return Math.pow(r.evaluate(t),n.evaluate(t))}],sqrt:[Bt,[Bt],function(t,e){var r=e[0];return Math.sqrt(r.evaluate(t))}],log10:[Bt,[Bt],function(t,e){var r=e[0];return Math.log(r.evaluate(t))/Math.LN10}],ln:[Bt,[Bt],function(t,e){var r=e[0];return Math.log(r.evaluate(t))}],log2:[Bt,[Bt],function(t,e){var r=e[0];return Math.log(r.evaluate(t))/Math.LN2}],sin:[Bt,[Bt],function(t,e){var r=e[0];return Math.sin(r.evaluate(t))}],cos:[Bt,[Bt],function(t,e){var r=e[0];return Math.cos(r.evaluate(t))}],tan:[Bt,[Bt],function(t,e){var r=e[0];return Math.tan(r.evaluate(t))}],asin:[Bt,[Bt],function(t,e){var r=e[0];return Math.asin(r.evaluate(t))}],acos:[Bt,[Bt],function(t,e){var r=e[0];return Math.acos(r.evaluate(t))}],atan:[Bt,[Bt],function(t,e){var r=e[0];return Math.atan(r.evaluate(t))}],min:[Bt,Pr(Bt),function(t,e){return Math.min.apply(Math,e.map((function(e){return e.evaluate(t)})))}],max:[Bt,Pr(Bt),function(t,e){return Math.max.apply(Math,e.map((function(e){return e.evaluate(t)})))}],abs:[Bt,[Bt],function(t,e){var r=e[0];return Math.abs(r.evaluate(t))}],round:[Bt,[Bt],function(t,e){var r=e[0].evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[Bt,[Bt],function(t,e){var r=e[0];return Math.floor(r.evaluate(t))}],ceil:[Bt,[Bt],function(t,e){var r=e[0];return Math.ceil(r.evaluate(t))}],\"filter-==\":[jt,[Nt,qt],function(t,e){var r=e[0],n=e[1];return t.properties()[r.value]===n.value}],\"filter-id-==\":[jt,[qt],function(t,e){var r=e[0];return t.id()===r.value}],\"filter-type-==\":[jt,[Nt],function(t,e){var r=e[0];return t.geometryType()===r.value}],\"filter-<\":[jt,[Nt,qt],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i<a}],\"filter-id-<\":[jt,[qt],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n<i}],\"filter->\":[jt,[Nt,qt],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i>a}],\"filter-id->\":[jt,[qt],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n>i}],\"filter-<=\":[jt,[Nt,qt],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i<=a}],\"filter-id-<=\":[jt,[qt],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n<=i}],\"filter->=\":[jt,[Nt,qt],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i>=a}],\"filter-id->=\":[jt,[qt],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n>=i}],\"filter-has\":[jt,[qt],function(t,e){return e[0].value in t.properties()}],\"filter-has-id\":[jt,[],function(t){return null!==t.id()&&void 0!==t.id()}],\"filter-type-in\":[jt,[Wt(Nt)],function(t,e){return e[0].value.indexOf(t.geometryType())>=0}],\"filter-id-in\":[jt,[Wt(qt)],function(t,e){return e[0].value.indexOf(t.id())>=0}],\"filter-in-small\":[jt,[Nt,Wt(qt)],function(t,e){var r=e[0];return e[1].value.indexOf(t.properties()[r.value])>=0}],\"filter-in-large\":[jt,[Nt,Wt(qt)],function(t,e){var r=e[0],n=e[1];return function(t,e,r,n){for(;r<=n;){var i=r+n>>1;if(e[i]===t)return!0;e[i]>t?n=i-1:r=i+1}return!1}(t.properties()[r.value],n.value,0,n.value.length-1)}],all:{type:jt,overloads:[[[jt,jt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)&&n.evaluate(t)}],[Pr(jt),function(t,e){for(var r=0,n=e;r<n.length;r+=1){if(!n[r].evaluate(t))return!1}return!0}]]},any:{type:jt,overloads:[[[jt,jt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)||n.evaluate(t)}],[Pr(jt),function(t,e){for(var r=0,n=e;r<n.length;r+=1){if(n[r].evaluate(t))return!0}return!1}]]},\"!\":[jt,[jt],function(t,e){return!e[0].evaluate(t)}],\"is-supported-script\":[jt,[Nt],function(t,e){var r=e[0],n=t.globals&&t.globals.isSupportedScript;return!n||n(r.evaluate(t))}],upcase:[Nt,[Nt],function(t,e){return e[0].evaluate(t).toUpperCase()}],downcase:[Nt,[Nt],function(t,e){return e[0].evaluate(t).toLowerCase()}],concat:[Nt,Pr(qt),function(t,e){return e.map((function(e){return le(e.evaluate(t))})).join(\"\")}],\"resolved-locale\":[Nt,[Ht],function(t,e){return e[0].evaluate(t).resolvedLocale()}]});var Gr=function(t,e){this.expression=t,this._warningHistory={},this._evaluator=new ye,this._defaultValue=e?function(t){return\"color\"===t.type&&Br(t.default)?new te(0,0,0,0):\"color\"===t.type?te.parse(t.default)||null:void 0===t.default?null:t.default}(e):null,this._enumValues=e&&\"enum\"===e.type?e.values:null};function Yr(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in Sr}function Wr(t,e){var r=new Ue(Sr,[],e?function(t){var e={color:Ut,string:Nt,number:Bt,enum:Nt,boolean:jt,formatted:Gt,resolvedImage:Yt};if(\"array\"===t.type)return Wt(e[t.value]||qt,t.length);return e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Ir(new Gr(n,e)):Or(r.errors)}Gr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},Gr.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new ue(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};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)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;n<i.length;n+=1){var a=i[n];if(r=t(a))break}else(e instanceof qe||e instanceof or)&&e.input instanceof xe&&\"zoom\"===e.input.name&&(r=e);if(r instanceof Dt)return r;return e.eachChild((function(e){var n=t(e);n instanceof Dt?r=n:!r&&n?r=new Dt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):r&&n&&r!==n&&(r=new Dt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),r}(r);if(!a&&!i)return Or([new Dt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof Dt)return Or([a]);if(a instanceof or&&!Rr(e))return Or([new Dt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Ir(new Xr(n?\"constant\":\"source\",t.value));var o=a instanceof or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===u)n=qr;else if(\"interval\"===u)n=Vr;else if(\"categorical\"===u){n=Ur,i=Object.create(null);for(var f=0,h=e.stops;f<h.length;f+=1){var p=h[f];i[p[0]]=p[1]}a=typeof e.stops[0][0]}else{if(\"identity\"!==u)throw new Error('Unknown function type \"'+u+'\"');n=Hr}if(s){for(var d={},m=[],g=0;g<e.stops.length;g++){var v=e.stops[g],y=v[0].zoom;void 0===d[y]&&(d[y]={zoom:y,type:e.type,property:e.property,default:e.default,stops:[]},m.push(y)),d[y].stops.push([v[0].value,v[1]])}for(var x=[],b=0,_=m;b<_.length;b+=1){var w=_[b];x.push([d[w].zoom,t(d[w],r)])}var T={name:\"linear\"};return{kind:\"composite\",interpolationType:T,interpolationFactor:or.interpolationFactor.bind(void 0,T),zoomStops:x.map((function(t){return t[0]})),evaluate:function(t,n){var i=t.zoom;return qr({stops:x,base:e.base},r,i).evaluate(i,n)}}}if(c){var k=\"exponential\"===u?{name:\"exponential\",base:void 0!==e.base?e.base:1}:null;return{kind:\"camera\",interpolationType:k,interpolationFactor:or.interpolationFactor.bind(void 0,k),zoomStops:e.stops.map((function(t){return t[0]})),evaluate:function(t){var o=t.zoom;return n(e,r,o,i,a)}}}return{kind:\"source\",evaluate:function(t,o){var s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?jr(e.default,r.default):n(e,r,s,i,a)}}}(this._parameters,this._specification))};function Qr(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Fr(r);if(\"object\"!==l)return[new Ct(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],f=n[u]||n[\"*\"],h=void 0;if(i[u])h=i[u];else if(n[u])h=kn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Ct(e,r[c],'unknown property \"'+c+'\"'));continue}h=kn}s=s.concat(h({key:(e?e+\".\":e)+c,value:r[c],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Ct(e,r,'missing required property \"'+p+'\"'));return s}function $r(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||kn;if(\"array\"!==Fr(e))return[new Ct(a,e,\"array expected, \"+Fr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Ct(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Ct(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Fr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+c+\"]\"}));return l}function tn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Fr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Ct(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in 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(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function an(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!an(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Kr.deserialize=function(t){return new Kr(t._parameters,t._specification)},Kr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var 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+\" found\"));for(var s=2;s<r.length;s++)i=Fr(r[s]),\"$type\"===Ot(r[1])?o=o.concat(nn({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:a.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==i&&\"number\"!==i&&\"boolean\"!==i&&o.push(new Ct(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+i+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==i&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" found\"));break;case\"within\":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==i&&o.push(new Ct(n+\"[1]\",r[1],\"object expected, \"+i+\" found\"))}return o}(t)}function mn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);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 functions'))),f.concat(kn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function gn(t){return mn(t,\"paint\")}function vn(t){return mn(t,\"layout\")}function yn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Ct(n,r,'either \"type\" or \"ref\" is required'));var o,s=Ot(r.type),l=Ot(r.ref);if(r.id)for(var c=Ot(r.id),u=0;u<t.arrayIndex;u++){var f=i.layers[u];Ot(f.id)===c&&e.push(new Ct(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+f.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new Ct(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),i.layers.forEach((function(t){Ot(t.id)===l&&(o=t)})),o?o.ref?e.push(new Ct(n,r.ref,\"ref cannot reference another ref layer\")):s=Ot(o.type):e.push(new Ct(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var h=i.sources&&i.sources[r.source],p=h&&Ot(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Ct(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Ct(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Ct(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Ct(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Ct(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Ct(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Ct(n,r,'missing required property \"source\"'));return e=e.concat(Qr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return kn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:dn,layout:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return vn(It({layerType:s},t))}}})},paint:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return gn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return\"string\"!==n?[new Ct(r,e,\"string expected, \"+n+\" found\")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+\".\"+i,value:r[i]}));return n}};function _n(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Ct(r,e,'\"type\" is required')];var a,o=Ot(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return a=Qr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:bn});case\"geojson\":if(a=Qr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:bn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],f=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,rn({key:r+\".\"+s+\".map\",value:u,expressionContext:\"cluster-map\"})),a.push.apply(a,rn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return Qr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return Qr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Ct(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return nn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function wn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Fr(e);if(void 0===e)return a;if(\"object\"!==o)return a=a.concat([new Ct(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(kn({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(kn({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new Ct(s,e[s],'unknown property \"'+s+'\"')])}return a}var Tn={\"*\":function(){return[]},array:$r,boolean:function(t){var e=t.value,r=t.key,n=Fr(e);return\"boolean\"!==n?[new Ct(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:tn,color:function(t){var e=t.key,r=t.value,n=Fr(r);return\"string\"!==n?[new Ct(e,r,\"color expected, \"+n+\" found\")]:null===$t(r)?[new Ct(e,r,'color expected, \"'+r+'\" found')]:[]},constants:Pt,enum:nn,filter:dn,function:en,layer:yn,object:Qr,source:_n,light:wn,string:xn,formatted:function(t){return 0===xn(t).length?[]:rn(t)},resolvedImage:function(t){return 0===xn(t).length?[]:rn(t)}};function kn(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&Br(Ot(e))?en(t):r.expression&&Yr(zt(e))?rn(t):r.type&&Tn[r.type]?Tn[r.type](t):Qr(It({},t,{valueSpec:r.type?n[r.type]:r}))}function Mn(t){var e=t.value,r=t.key,n=xn(t);return n.length||(-1===e.indexOf(\"{fontstack}\")&&n.push(new Ct(r,e,'\"glyphs\" url must include a \"{fontstack}\" token')),-1===e.indexOf(\"{range}\")&&n.push(new Ct(r,e,'\"glyphs\" url must include a \"{range}\" token'))),n}function An(t,e){void 0===e&&(e=Lt);var r=[];return r=r.concat(kn({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:Mn,\"*\":function(){return[]}}})),t.constants&&(r=r.concat(Pt({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),Sn(r)}function Sn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function En(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Sn(t.apply(this,e))}}An.source=En(_n),An.light=En(wn),An.layer=En(yn),An.filter=En(dn),An.paintProperty=En(gn),An.layoutProperty=En(vn);var Ln=An,Cn=Ln.light,Pn=Ln.paintProperty,In=Ln.layoutProperty;function On(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new St(new Error(a.message))),r=!0}return r}var zn=Dn;function Dn(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length],c=i[3+n.length+1];this.keys=i.subarray(l,c),this.bboxes=i.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var u=0;u<this.d*this.d;u++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Dn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Dn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Dn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Dn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Dn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var c=this.keys,u=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[h]=!0,a.push(c[h])):o[h]=!1}}},Dn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Dn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Dn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Dn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[3+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Rn=self.ImageData,Fn=self.ImageBitmap,Bn={};function Nn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),Bn[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var jn in Nn(\"Object\",Object),zn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},zn.deserialize=function(t){return new zn(t.buffer)},Nn(\"Grid\",zn),Nn(\"Color\",te),Nn(\"Error\",Error),Nn(\"ResolvedImage\",ie),Nn(\"StylePropertyFunction\",Kr),Nn(\"StyleExpression\",Gr,{omit:[\"_evaluator\"]}),Nn(\"ZoomDependentExpression\",Zr),Nn(\"ZoomConstantExpression\",Xr),Nn(\"CompoundExpression\",xe,{omit:[\"_evaluate\"]}),Sr)Sr[jn]._classRegistryKey||Nn(\"Expression_\"+jn,Sr[jn]);function Un(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function Vn(t){return Fn&&t instanceof Fn}function qn(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(Un(t)||Vn(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof Rn)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(qn(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var c=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var u in t)if(t.hasOwnProperty(u)&&!(Bn[l].omit.indexOf(u)>=0)){var f=t[u];c[u]=Bn[l].shallow.indexOf(u)>=0?f:qn(f,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(c.$name=l),c}throw new Error(\"can't serialize object of type \"+typeof t)}function Hn(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||Un(t)||Vn(t)||ArrayBuffer.isView(t)||t instanceof Rn)return t;if(Array.isArray(t))return t.map(Hn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=Bn[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if(\"$name\"!==o){var s=t[o];n[o]=Bn[e].shallow.indexOf(o)>=0?s:Hn(s)}}return n}throw new Error(\"can't deserialize object of type \"+typeof t)}var Gn=function(){this.first=!0};Gn.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var Yn={\"Latin-1 Supplement\":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},\"Arabic Supplement\":function(t){return t>=1872&&t<=1919},\"Arabic Extended-A\":function(t){return t>=2208&&t<=2303},\"Hangul Jamo\":function(t){return t>=4352&&t<=4607},\"Unified Canadian Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description Characters\":function(t){return t>=12272&&t<=12287},\"CJK Symbols and Punctuation\":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},\"Hangul Compatibility Jamo\":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},\"Bopomofo Extended\":function(t){return t>=12704&&t<=12735},\"CJK Strokes\":function(t){return t>=12736&&t<=12783},\"Katakana Phonetic Extensions\":function(t){return t>=12784&&t<=12799},\"Enclosed CJK Letters and Months\":function(t){return t>=12800&&t<=13055},\"CJK Compatibility\":function(t){return t>=13056&&t<=13311},\"CJK Unified Ideographs Extension A\":function(t){return t>=13312&&t<=19903},\"Yijing Hexagram Symbols\":function(t){return t>=19904&&t<=19967},\"CJK Unified Ideographs\":function(t){return t>=19968&&t<=40959},\"Yi Syllables\":function(t){return t>=40960&&t<=42127},\"Yi Radicals\":function(t){return t>=42128&&t<=42191},\"Hangul Jamo Extended-A\":function(t){return t>=43360&&t<=43391},\"Hangul Syllables\":function(t){return t>=44032&&t<=55215},\"Hangul Jamo Extended-B\":function(t){return t>=55216&&t<=55295},\"Private Use Area\":function(t){return t>=57344&&t<=63743},\"CJK Compatibility Ideographs\":function(t){return t>=63744&&t<=64255},\"Arabic Presentation Forms-A\":function(t){return t>=64336&&t<=65023},\"Vertical Forms\":function(t){return t>=65040&&t<=65055},\"CJK Compatibility Forms\":function(t){return t>=65072&&t<=65103},\"Small Form Variants\":function(t){return t>=65104&&t<=65135},\"Arabic Presentation Forms-B\":function(t){return t>=65136&&t<=65279},\"Halfwidth and Fullwidth Forms\":function(t){return t>=65280&&t<=65519}};function Wn(t){for(var e=0,r=t;e<r.length;e+=1){if(Zn(r[e].charCodeAt(0)))return!0}return!1}function Xn(t){return!Yn.Arabic(t)&&(!Yn[\"Arabic Supplement\"](t)&&(!Yn[\"Arabic Extended-A\"](t)&&(!Yn[\"Arabic Presentation Forms-A\"](t)&&!Yn[\"Arabic Presentation Forms-B\"](t))))}function Zn(t){return 746===t||747===t||!(t<4352)&&(!!Yn[\"Bopomofo Extended\"](t)||(!!Yn.Bopomofo(t)||(!(!Yn[\"CJK Compatibility Forms\"](t)||t>=65097&&t<=65103)||(!!Yn[\"CJK Compatibility Ideographs\"](t)||(!!Yn[\"CJK Compatibility\"](t)||(!!Yn[\"CJK Radicals Supplement\"](t)||(!!Yn[\"CJK Strokes\"](t)||(!(!Yn[\"CJK Symbols and Punctuation\"](t)||t>=12296&&t<=12305||t>=12308&&t<=12319||12336===t)||(!!Yn[\"CJK Unified Ideographs Extension A\"](t)||(!!Yn[\"CJK Unified Ideographs\"](t)||(!!Yn[\"Enclosed CJK Letters and Months\"](t)||(!!Yn[\"Hangul Compatibility Jamo\"](t)||(!!Yn[\"Hangul Jamo Extended-A\"](t)||(!!Yn[\"Hangul Jamo Extended-B\"](t)||(!!Yn[\"Hangul Jamo\"](t)||(!!Yn[\"Hangul Syllables\"](t)||(!!Yn.Hiragana(t)||(!!Yn[\"Ideographic Description Characters\"](t)||(!!Yn.Kanbun(t)||(!!Yn[\"Kangxi Radicals\"](t)||(!!Yn[\"Katakana Phonetic Extensions\"](t)||(!(!Yn.Katakana(t)||12540===t)||(!(!Yn[\"Halfwidth and Fullwidth Forms\"](t)||65288===t||65289===t||65293===t||t>=65306&&t<=65310||65339===t||65341===t||65343===t||t>=65371&&t<=65503||65507===t||t>=65512&&t<=65519)||(!(!Yn[\"Small Form Variants\"](t)||t>=65112&&t<=65118||t>=65123&&t<=65126)||(!!Yn[\"Unified Canadian Aboriginal Syllabics\"](t)||(!!Yn[\"Unified Canadian Aboriginal Syllabics Extended\"](t)||(!!Yn[\"Vertical Forms\"](t)||(!!Yn[\"Yijing Hexagram Symbols\"](t)||(!!Yn[\"Yi Syllables\"](t)||!!Yn[\"Yi Radicals\"](t))))))))))))))))))))))))))))))}function Jn(t){return!(Zn(t)||function(t){return!(!Yn[\"Latin-1 Supplement\"](t)||167!==t&&169!==t&&174!==t&&177!==t&&188!==t&&189!==t&&190!==t&&215!==t&&247!==t)||(!(!Yn[\"General Punctuation\"](t)||8214!==t&&8224!==t&&8225!==t&&8240!==t&&8241!==t&&8251!==t&&8252!==t&&8258!==t&&8263!==t&&8264!==t&&8265!==t&&8273!==t)||(!!Yn[\"Letterlike Symbols\"](t)||(!!Yn[\"Number Forms\"](t)||(!(!Yn[\"Miscellaneous Technical\"](t)||!(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215))||(!(!Yn[\"Control Pictures\"](t)||9251===t)||(!!Yn[\"Optical Character Recognition\"](t)||(!!Yn[\"Enclosed Alphanumerics\"](t)||(!!Yn[\"Geometric Shapes\"](t)||(!(!Yn[\"Miscellaneous Symbols\"](t)||t>=9754&&t<=9759)||(!(!Yn[\"Miscellaneous Symbols and Arrows\"](t)||!(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243))||(!!Yn[\"CJK Symbols and Punctuation\"](t)||(!!Yn.Katakana(t)||(!!Yn[\"Private Use Area\"](t)||(!!Yn[\"CJK Compatibility Forms\"](t)||(!!Yn[\"Small Form Variants\"](t)||(!!Yn[\"Halfwidth and Fullwidth Forms\"](t)||(8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)))))))))))))))))}(t))}function Kn(t){return t>=1424&&t<=2303||Yn[\"Arabic Presentation Forms-A\"](t)||Yn[\"Arabic Presentation Forms-B\"](t)}function Qn(t,e){return!(!e&&Kn(t))&&!(t>=2304&&t<=3583||t>=3840&&t<=4255||Yn.Khmer(t))}function $n(t){for(var e=0,r=t;e<r.length;e+=1){if(Kn(r[e].charCodeAt(0)))return!0}return!1}var ti=\"deferred\",ei=\"loading\",ri=\"loaded\",ni=\"error\",ii=null,ai=\"unavailable\",oi=null,si=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(ai=ni),ii&&ii(t)};function li(){ci.fire(new At(\"pluginStateChange\",{pluginStatus:ai,pluginURL:oi}))}var ci=new Et,ui=function(){return ai},fi=function(){if(ai!==ti||!oi)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");ai=ei,li(),oi&&xt({url:oi},(function(t){t?si(t):(ai=ri,li())}))},hi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return ai===ri||null!=hi.applyArabicShaping},isLoading:function(){return ai===ei},setState:function(t){ai=t.pluginStatus,oi=t.pluginURL},isParsed:function(){return null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Mi=function(t){this.specification=t};Mi.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)}},Mi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Mi.prototype.interpolate=function(t){return t};var Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Ai.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\",Mi),Nn(\"ColorRampProperty\",Ai);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 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.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);qi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",qi);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.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);Hi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",Hi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,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,M,A,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,M,A,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]=M,this.float32[C+14]=A,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=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 oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=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.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=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.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=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={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Ci);ua.prototype.size=8;var fa=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 ua(this,t)},e}(Ki);Nn(\"FeatureIndexArray\",fa);var ha=Ii([{name:\"a_pos\",components:2,type:\"Int16\"}],4).members,pa=function(t){void 0===t&&(t=[]),this.segments=t};function da(t,e){return 256*(t=l(Math.floor(t),0,255))+(e=l(Math.floor(e),0,255))}pa.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>pa.MAX_VERTEX_ARRAY_LENGTH&&_(\"Max vertices per segment is \"+pa.MAX_VERTEX_ARRAY_LENGTH+\": bucket requested \"+t),(!i||i.vertexLength+t>pa.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i},pa.prototype.get=function(){return this.segments},pa.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},pa.simpleSegment=function(t,e,r,n){return new pa([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},pa.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Nn(\"SegmentVector\",pa);var ma=Ii([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint8\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint8\"}]),ga=e((function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}})),va=e((function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}})),ya=ga,xa=ga,ba=va;ya.murmur3=xa,ya.murmur2=ba;var _a=function(){this.ids=[],this.positions=[],this.indexed=!1};_a.prototype.add=function(t,e,r,n){this.ids.push(Ta(t)),this.positions.push(e,r,n)},_a.prototype.getPositions=function(t){for(var e=Ta(t),r=0,n=this.ids.length-1;r<n;){var i=r+n>>1;this.ids[i]>=e?n=i:r=i+1}for(var a=[];this.ids[r]===e;){var o=this.positions[3*r],s=this.positions[3*r+1],l=this.positions[3*r+2];a.push({index:o,start:s,end:l}),r++}return a},_a.serialize=function(t,e){var r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return function t(e,r,n,i){for(;n<i;){for(var a=e[n+i>>1],o=n-1,s=i+1;;){do{o++}while(e[o]<a);do{s--}while(e[s]>a);if(o>=s)break;ka(e,o,s),ka(r,3*o,3*s),ka(r,3*o+1,3*s+1),ka(r,3*o+2,3*s+2)}s-n<i-s?(t(e,r,n,s),n=s+1):(t(e,r,s+1,i),i=s)}}(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}},_a.deserialize=function(t){var e=new _a;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var wa=Math.pow(2,53)-1;function Ta(t){var e=+t;return!isNaN(e)&&e<=wa?e:ya(String(t))}function ka(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Nn(\"FeaturePositionMap\",_a);var Ma=function(t,e){this.gl=t.gl,this.location=e},Aa=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ma),Sa=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ma),Ea=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ma),La=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]||(this.current=t,this.gl.uniform3f(this.location,t[0],t[1],t[2]))},e}(Ma),Ca=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))},e}(Ma),Pa=function(t){function e(e,r){t.call(this,e,r),this.current=te.transparent}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))},e}(Ma),Ia=new Float32Array(16),Oa=function(t){function e(e,r){t.call(this,e,r),this.current=Ia}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ma);function za(t){return[da(255*t.r,255*t.g),da(255*t.b,255*t.a)]}var Da=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Da.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Da.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Pa(t,e):new Sa(t,e)};var Ra=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ra.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ra.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},Ra.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ca(t,e):new Sa(t,e)};var Fa=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};Fa.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Fa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Fa.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=za(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Fa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Fa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ba=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ba.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ba.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ba.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=za(r),a=za(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ba.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ba.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ba.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ba.prototype.getBinding=function(t,e,r){return new Sa(t,e)};var Na=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Na.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Na.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Na.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},Na.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,ma.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,ma.members,this.expression.isStateDependent))},Na.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var ja=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=qa(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=qa(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function qa(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return i&&i[r]||n[e][r]}Ua.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Ua.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Ua.prototype.get=function(t){return this.programConfigurations[t]},Ua.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ua.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Nn(\"ConstantBinder\",Da),Nn(\"CrossFadedConstantBinder\",Ra),Nn(\"SourceExpressionBinder\",Fa),Nn(\"CrossFadedCompositeBinder\",Na),Nn(\"CompositeExpressionBinder\",Ba),Nn(\"ProgramConfiguration\",ja,{omit:[\"_buffers\"]}),Nn(\"ProgramConfigurationSet\",Ua);var Ha,Ga=(Ha=15,{min:-1*Math.pow(2,Ha-1),max:Math.pow(2,Ha-1)-1});function Ya(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Ga.min||o.x>Ga.max||o.y<Ga.min||o.y>Ga.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Ga.min,Ga.max),o.y=l(o.y,Ga.min,Ga.max))}return r}function Wa(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Xa=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 zi,this.indexArray=new Yi,this.segments=new pa,this.programConfigurations=new Ua(ha,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Za(t,e){for(var r=0;r<t.length;r++)if(io(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(io(t,e[n]))return!0;return!!$a(t,e)}function Ja(t,e,r){return!!io(t,e)||!!eo(e,t,r)}function Ka(t,e){if(1===t.length)return no(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(io(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(no(e,t[a]))return!0;for(var o=0;o<e.length;o++)if($a(t,e[o]))return!0;return!1}function Qa(t,e,r){if(t.length>1){if($a(t,e))return!0;for(var n=0;n<e.length;n++)if(eo(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(eo(t[i],e,r))return!0;return!1}function $a(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++){if(to(n,i,e[a],e[a+1]))return!0}return!1}function to(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function eo(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++){if(ro(t,e[i-1],e[i])<n)return!0}return!1}function ro(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function no(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function io(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function ao(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,r[0]);return a!==w(t,e,r[1])||a!==w(t,e,r[2])||a!==w(t,e,r[3])}function oo(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function so(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function lo(t,e,r,n,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}Xa.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Ya(c):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),d,r)){p||(d.geometry=Ya(c));var m=a?a.evaluate(d,{},r):void 0,g={id:u,properties:c.properties,type:c.type,sourceLayerIndex:h,index:f,geometry:d.geometry,patterns:{},sortKey:m};i.push(g)}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=x,_=b.geometry,w=b.index,T=b.sourceLayerIndex,k=t[w].feature;this.addFeature(x,_,w,r),e.featureIndex.insert(k,_,w,T,this.index)}},Xa.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Xa.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Xa.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Xa.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ha),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Xa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Xa.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=f.vertexLength;Wa(this.layoutVertexArray,c,u,-1,-1),Wa(this.layoutVertexArray,c,u,1,-1),Wa(this.layoutVertexArray,c,u,1,1),Wa(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),f.vertexLength+=4,f.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)},Nn(\"CircleBucket\",Xa,{omit:[\"layers\"]});var co=new Si({\"circle-sort-key\":new Ti(Lt.layout_circle[\"circle-sort-key\"])}),uo={paint:new Si({\"circle-radius\":new Ti(Lt.paint_circle[\"circle-radius\"]),\"circle-color\":new Ti(Lt.paint_circle[\"circle-color\"]),\"circle-blur\":new Ti(Lt.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Ti(Lt.paint_circle[\"circle-opacity\"]),\"circle-translate\":new wi(Lt.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new wi(Lt.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new wi(Lt.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new wi(Lt.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new Ti(Lt.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new Ti(Lt.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new Ti(Lt.paint_circle[\"circle-stroke-opacity\"])}),layout:co},fo=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ho(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}function po(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}Math.hypot||(Math.hypot=function(){for(var t=arguments,e=0,r=arguments.length;r--;)e+=t[r]*t[r];return Math.sqrt(e)});var mo=po;var go,vo,yo=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};go=new fo(3),fo!=Float32Array&&(go[0]=0,go[1]=0,go[2]=0),vo=go;function xo(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}!function(){var t=function(){var t=new fo(4);return fo!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0,t[3]=0),t}()}();var bo=function(t){var e=t[0],r=t[1];return e*e+r*r},_o=(function(){var t=function(){var t=new fo(2);return fo!=Float32Array&&(t[0]=0,t[1]=0),t}()}(),function(t){function e(e){t.call(this,e,uo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Xa(t)},e.prototype.queryRadius=function(t){var e=t;return oo(\"circle-radius\",this,e)+oo(\"circle-stroke-width\",this,e)+so(this.paint.get(\"circle-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a,o,s){for(var l=lo(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),a.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),f=u?l:function(t,e){return t.map((function(t){return wo(t,e)}))}(l,s),h=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var m=0,g=d[p];m<g.length;m+=1){var v=g[m],y=u?v:wo(v,s),x=h,b=xo([],[v.x,v.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?x*=b[3]/a.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(x*=a.cameraToCenterDistance/b[3]),Ja(f,y,x))return!0}return!1},e}(Ei));function wo(t,e){var r=xo([],[t.x,t.y,0,1],e);return new i(r[0]/r[3],r[1]/r[3])}var To=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}(Xa);function ko(t,e,r,n){var i=e.width,a=e.height;if(n){if(n instanceof Uint8ClampedArray)n=new Uint8Array(n.buffer);else if(n.length!==i*a*r)throw new RangeError(\"mismatched image size\")}else n=new Uint8Array(i*a*r);return t.width=i,t.height=a,t.data=n,t}function Mo(t,e,r){var n=e.width,i=e.height;if(n!==t.width||i!==t.height){var a=ko({},{width:n,height:i},r);Ao(t,a,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,i)},r),t.width=n,t.height=i,t.data=a.data}}function Ao(t,e,r,n,i,a){if(0===i.width||0===i.height)return e;if(i.width>t.width||i.height>t.height||r.x>t.width-i.width||r.y>t.height-i.height)throw new RangeError(\"out of range source coordinates for image copy\");if(i.width>e.width||i.height>e.height||n.x>e.width-i.width||n.y>e.height-i.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<i.height;l++)for(var c=((r.y+l)*t.width+r.x)*a,u=((n.y+l)*e.width+n.x)*a,f=0;f<i.width*a;f++)s[u+f]=o[c+f];return e}Nn(\"HeatmapBucket\",To,{omit:[\"layers\"]});var So=function(t,e){ko(this,t,1,e)};So.prototype.resize=function(t){Mo(this,t,1)},So.prototype.clone=function(){return new So({width:this.width,height:this.height},new Uint8Array(this.data))},So.copy=function(t,e,r,n,i){Ao(t,e,r,n,i,1)};var Eo=function(t,e){ko(this,t,4,e)};Eo.prototype.resize=function(t){Mo(this,t,4)},Eo.prototype.replace=function(t,e){e?this.data.set(t):t instanceof Uint8ClampedArray?this.data=new Uint8Array(t.buffer):this.data=t},Eo.prototype.clone=function(){return new Eo({width:this.width,height:this.height},new Uint8Array(this.data))},Eo.copy=function(t,e,r,n,i){Ao(t,e,r,n,i,4)},Nn(\"AlphaImage\",So),Nn(\"RGBAImage\",Eo);var Lo={paint:new Si({\"heatmap-radius\":new Ti(Lt.paint_heatmap[\"heatmap-radius\"]),\"heatmap-weight\":new Ti(Lt.paint_heatmap[\"heatmap-weight\"]),\"heatmap-intensity\":new wi(Lt.paint_heatmap[\"heatmap-intensity\"]),\"heatmap-color\":new Ai(Lt.paint_heatmap[\"heatmap-color\"]),\"heatmap-opacity\":new wi(Lt.paint_heatmap[\"heatmap-opacity\"])})};function Co(t,e){for(var r=new Uint8Array(1024),n={},i=0,a=0;i<256;i++,a+=4){n[e]=i/255;var o=t.evaluate(n);r[a+0]=Math.floor(255*o.r/o.a),r[a+1]=Math.floor(255*o.g/o.a),r[a+2]=Math.floor(255*o.b/o.a),r[a+3]=Math.floor(255*o.a)}return new Eo({width:256,height:1},r)}var Po=function(t){function e(e){t.call(this,e,Lo),this._updateColorRamp()}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new To(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"heatmap-color\"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){var t=this._transitionablePaint._values[\"heatmap-color\"].value.expression;this.colorRamp=Co(t,\"heatmapDensity\"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"heatmap-opacity\")&&\"none\"!==this.visibility},e}(Ei),Io={paint:new Si({\"hillshade-illumination-direction\":new wi(Lt.paint_hillshade[\"hillshade-illumination-direction\"]),\"hillshade-illumination-anchor\":new wi(Lt.paint_hillshade[\"hillshade-illumination-anchor\"]),\"hillshade-exaggeration\":new wi(Lt.paint_hillshade[\"hillshade-exaggeration\"]),\"hillshade-shadow-color\":new wi(Lt.paint_hillshade[\"hillshade-shadow-color\"]),\"hillshade-highlight-color\":new wi(Lt.paint_hillshade[\"hillshade-highlight-color\"]),\"hillshade-accent-color\":new wi(Lt.paint_hillshade[\"hillshade-accent-color\"])})},Oo=function(t){function e(e){t.call(this,e,Io)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"hillshade-exaggeration\")&&\"none\"!==this.visibility},e}(Ei),zo=Ii([{name:\"a_pos\",components:2,type:\"Int16\"}],4).members,Do=Fo,Ro=Fo;function Fo(t,e,r){r=r||2;var n,i,a,o,s,l,c,u=e&&e.length,f=u?e[0]*r:t.length,h=Bo(t,0,f,r,!0),p=[];if(!h||h.next===h.prev)return p;if(u&&(h=function(t,e,r,n){var i,a,o,s,l,c=[];for(i=0,a=e.length;i<a;i++)o=e[i]*n,s=i<a-1?e[i+1]*n:t.length,(l=Bo(t,o,s,n,!1))===l.next&&(l.steiner=!0),c.push(Zo(l));for(c.sort(Go),i=0;i<c.length;i++)Yo(c[i],r),r=No(r,r.next);return r}(t,e,h,r)),t.length>80*r){n=a=t[0],i=o=t[1];for(var d=r;d<f;d+=r)(s=t[d])<n&&(n=s),(l=t[d+1])<i&&(i=l),s>a&&(a=s),l>o&&(o=l);c=0!==(c=Math.max(a-n,o-i))?1/c:0}return jo(h,p,r,n,i,c),p}function Bo(t,e,r,n,i){var a,o;if(i===ls(t,e,r,n)>0)for(a=e;a<r;a+=n)o=as(a,t[a],t[a+1],o);else for(a=r-n;a>=e;a-=n)o=as(a,t[a],t[a+1],o);return o&&$o(o,o.next)&&(os(o),o=o.next),o}function No(t,e){if(!t)return t;e||(e=t);var r,n=t;do{if(r=!1,n.steiner||!$o(n,n.next)&&0!==Qo(n.prev,n,n.next))n=n.next;else{if(os(n),(n=e=n.prev)===n.next)break;r=!0}}while(r||n!==e);return e}function jo(t,e,r,n,i,a,o){if(t){!o&&a&&function(t,e,r,n){var i=t;do{null===i.z&&(i.z=Xo(i.x,i.y,e,r,n)),i.prevZ=i.prev,i.nextZ=i.next,i=i.next}while(i!==t);i.prevZ.nextZ=null,i.prevZ=null,function(t){var e,r,n,i,a,o,s,l,c=1;do{for(r=t,t=null,a=null,o=0;r;){for(o++,n=r,s=0,e=0;e<c&&(s++,n=n.nextZ);e++);for(l=c;s>0||l>0&&n;)0!==s&&(0===l||!n||r.z<=n.z)?(i=r,r=r.nextZ,s--):(i=n,n=n.nextZ,l--),a?a.nextZ=i:t=i,i.prevZ=a,a=i;r=n}a.nextZ=null,c*=2}while(o>1)}(i)}(t,n,i,a);for(var s,l,c=t;t.prev!==t.next;)if(s=t.prev,l=t.next,a?Vo(t,n,i,a):Uo(t))e.push(s.i/r),e.push(t.i/r),e.push(l.i/r),os(t),t=l.next,c=l.next;else if((t=l)===c){o?1===o?jo(t=qo(No(t),e,r),e,r,n,i,a,2):2===o&&Ho(t,e,r,n,i,a):jo(No(t),e,r,n,i,a,1);break}}}function Uo(t){var e=t.prev,r=t,n=t.next;if(Qo(e,r,n)>=0)return!1;for(var i=t.next.next;i!==t.prev;){if(Jo(e.x,e.y,r.x,r.y,n.x,n.y,i.x,i.y)&&Qo(i.prev,i,i.next)>=0)return!1;i=i.next}return!0}function Vo(t,e,r,n){var i=t.prev,a=t,o=t.next;if(Qo(i,a,o)>=0)return!1;for(var s=i.x<a.x?i.x<o.x?i.x:o.x:a.x<o.x?a.x:o.x,l=i.y<a.y?i.y<o.y?i.y:o.y:a.y<o.y?a.y:o.y,c=i.x>a.x?i.x>o.x?i.x:o.x:a.x>o.x?a.x:o.x,u=i.y>a.y?i.y>o.y?i.y:o.y:a.y>o.y?a.y:o.y,f=Xo(s,l,e,r,n),h=Xo(c,u,e,r,n),p=t.prevZ,d=t.nextZ;p&&p.z>=f&&d&&d.z<=h;){if(p!==t.prev&&p!==t.next&&Jo(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&Qo(p.prev,p,p.next)>=0)return!1;if(p=p.prevZ,d!==t.prev&&d!==t.next&&Jo(i.x,i.y,a.x,a.y,o.x,o.y,d.x,d.y)&&Qo(d.prev,d,d.next)>=0)return!1;d=d.nextZ}for(;p&&p.z>=f;){if(p!==t.prev&&p!==t.next&&Jo(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&Qo(p.prev,p,p.next)>=0)return!1;p=p.prevZ}for(;d&&d.z<=h;){if(d!==t.prev&&d!==t.next&&Jo(i.x,i.y,a.x,a.y,o.x,o.y,d.x,d.y)&&Qo(d.prev,d,d.next)>=0)return!1;d=d.nextZ}return!0}function qo(t,e,r){var n=t;do{var i=n.prev,a=n.next.next;!$o(i,a)&&ts(i,n,n.next,a)&&ns(i,a)&&ns(a,i)&&(e.push(i.i/r),e.push(n.i/r),e.push(a.i/r),os(n),os(n.next),n=t=a),n=n.next}while(n!==t);return No(n)}function Ho(t,e,r,n,i,a){var o=t;do{for(var s=o.next.next;s!==o.prev;){if(o.i!==s.i&&Ko(o,s)){var l=is(o,s);return o=No(o,o.next),l=No(l,l.next),jo(o,e,r,n,i,a),void jo(l,e,r,n,i,a)}s=s.next}o=o.next}while(o!==t)}function Go(t,e){return t.x-e.x}function Yo(t,e){if(e=function(t,e){var r,n=e,i=t.x,a=t.y,o=-1/0;do{if(a<=n.y&&a>=n.next.y&&n.next.y!==n.y){var s=n.x+(a-n.y)*(n.next.x-n.x)/(n.next.y-n.y);if(s<=i&&s>o){if(o=s,s===i){if(a===n.y)return n;if(a===n.next.y)return n.next}r=n.x<n.next.x?n:n.next}}n=n.next}while(n!==e);if(!r)return null;if(i===o)return r;var l,c=r,u=r.x,f=r.y,h=1/0;n=r;do{i>=n.x&&n.x>=u&&i!==n.x&&Jo(a<f?i:o,a,u,f,a<f?o:i,a,n.x,n.y)&&(l=Math.abs(a-n.y)/(i-n.x),ns(n,t)&&(l<h||l===h&&(n.x>r.x||n.x===r.x&&Wo(r,n)))&&(r=n,h=l)),n=n.next}while(n!==c);return r}(t,e)){var r=is(e,t);No(e,e.next),No(r,r.next)}}function Wo(t,e){return Qo(t.prev,t,e.prev)<0&&Qo(e.next,t,t.next)<0}function Xo(t,e,r,n,i){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t=32767*(t-r)*i)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e=32767*(e-n)*i)|e<<8))|e<<4))|e<<2))|e<<1))<<1}function Zo(t){var e=t,r=t;do{(e.x<r.x||e.x===r.x&&e.y<r.y)&&(r=e),e=e.next}while(e!==t);return r}function Jo(t,e,r,n,i,a,o,s){return(i-o)*(e-s)-(t-o)*(a-s)>=0&&(t-o)*(n-s)-(r-o)*(e-s)>=0&&(r-o)*(a-s)-(i-o)*(n-s)>=0}function Ko(t,e){return t.next.i!==e.i&&t.prev.i!==e.i&&!function(t,e){var r=t;do{if(r.i!==t.i&&r.next.i!==t.i&&r.i!==e.i&&r.next.i!==e.i&&ts(r,r.next,t,e))return!0;r=r.next}while(r!==t);return!1}(t,e)&&(ns(t,e)&&ns(e,t)&&function(t,e){var r=t,n=!1,i=(t.x+e.x)/2,a=(t.y+e.y)/2;do{r.y>a!=r.next.y>a&&r.next.y!==r.y&&i<(r.next.x-r.x)*(a-r.y)/(r.next.y-r.y)+r.x&&(n=!n),r=r.next}while(r!==t);return n}(t,e)&&(Qo(t.prev,t,e.prev)||Qo(t,e.prev,e))||$o(t,e)&&Qo(t.prev,t,t.next)>0&&Qo(e.prev,e,e.next)>0)}function Qo(t,e,r){return(e.y-t.y)*(r.x-e.x)-(e.x-t.x)*(r.y-e.y)}function $o(t,e){return t.x===e.x&&t.y===e.y}function ts(t,e,r,n){var i=rs(Qo(t,e,r)),a=rs(Qo(t,e,n)),o=rs(Qo(r,n,t)),s=rs(Qo(r,n,e));return i!==a&&o!==s||(!(0!==i||!es(t,r,e))||(!(0!==a||!es(t,n,e))||(!(0!==o||!es(r,t,n))||!(0!==s||!es(r,e,n)))))}function es(t,e,r){return e.x<=Math.max(t.x,r.x)&&e.x>=Math.min(t.x,r.x)&&e.y<=Math.max(t.y,r.y)&&e.y>=Math.min(t.y,r.y)}function rs(t){return t>0?1:t<0?-1:0}function ns(t,e){return Qo(t.prev,t,t.next)<0?Qo(t,e,t.next)>=0&&Qo(t,t.prev,e)>=0:Qo(t,e,t.prev)<0||Qo(t,t.next,e)<0}function is(t,e){var r=new ss(t.i,t.x,t.y),n=new ss(e.i,e.x,e.y),i=t.next,a=e.prev;return t.next=e,e.prev=t,r.next=i,i.prev=r,n.next=r,r.prev=n,a.next=n,n.prev=a,n}function as(t,e,r,n){var i=new ss(t,e,r);return n?(i.next=n.next,i.prev=n,n.next.prev=i,n.next=i):(i.prev=i,i.next=i),i}function os(t){t.next.prev=t.prev,t.prev.next=t.next,t.prevZ&&(t.prevZ.nextZ=t.nextZ),t.nextZ&&(t.nextZ.prevZ=t.prevZ)}function ss(t,e,r){this.i=t,this.x=e,this.y=r,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}function ls(t,e,r,n){for(var i=0,a=e,o=r-n;a<r;a+=n)i+=(t[o]-t[a])*(t[a+1]+t[o+1]),o=a;return i}function cs(t,e,r,n,i){!function t(e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),c=.5*Math.exp(2*l/3),u=.5*Math.sqrt(l*c*(o-c)/o)*(s-o/2<0?-1:1),f=Math.max(n,Math.floor(r-s*c/o+u)),h=Math.min(i,Math.floor(r+(o-s)*c/o+u));t(e,r,f,h,a)}var p=e[r],d=n,m=i;for(us(e,n,r),a(e[i],p)>0&&us(e,n,i);d<m;){for(us(e,d,m),d++,m--;a(e[d],p)<0;)d++;for(;a(e[m],p)>0;)m--}0===a(e[n],p)?us(e,n,m):(m++,us(e,m,i)),m<=r&&(n=m+1),r<=m&&(i=m-1)}}(t,e,r||0,n||t.length-1,i||fs)}function us(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function fs(t,e){return t<e?-1:t>e?1:0}function hs(t,e){var r=t.length;if(r<=1)return[t];for(var n,i,a=[],o=0;o<r;o++){var s=T(t[o]);0!==s&&(t[o].area=Math.abs(s),void 0===i&&(i=s<0),i===s<0?(n&&a.push(n),n=[t[o]]):n.push(t[o]))}if(n&&a.push(n),e>1)for(var l=0;l<a.length;l++)a[l].length<=e||(cs(a[l],e,1,a[l].length-1,ps),a[l]=a[l].slice(0,e));return a}function ps(t,e){return e.area-t.area}function ds(t,e,r){for(var n=r.patternDependencies,i=!1,a=0,o=e;a<o.length;a+=1){var s=o[a].paint.get(t+\"-pattern\");s.isConstant()||(i=!0);var l=s.constantOr(null);l&&(i=!0,n[l.to]=!0,n[l.from]=!0)}return i}function ms(t,e,r,n,i){for(var a=i.patternDependencies,o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.paint.get(t+\"-pattern\").value;if(\"constant\"!==c.kind){var u=c.evaluate({zoom:n-1},r,{},i.availableImages),f=c.evaluate({zoom:n},r,{},i.availableImages),h=c.evaluate({zoom:n+1},r,{},i.availableImages);u=u&&u.name?u.name:u,f=f&&f.name?f.name:f,h=h&&h.name?h.name:h,a[u]=!0,a[f]=!0,a[h]=!0,r.patterns[l.id]={min:u,mid:f,max:h}}}return r}Fo.deviation=function(t,e,r,n){var i=e&&e.length,a=i?e[0]*r:t.length,o=Math.abs(ls(t,0,a,r));if(i)for(var s=0,l=e.length;s<l;s++){var c=e[s]*r,u=s<l-1?e[s+1]*r:t.length;o-=Math.abs(ls(t,c,u,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},Fo.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r},Do.default=Ro;var gs=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 zi,this.indexArray=new Yi,this.indexArray2=new Qi,this.programConfigurations=new Ua(zo,t.layers,t.zoom),this.segments=new pa,this.segments2=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};gs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"fill\",this.layers,e);for(var n=this.layers[0].layout.get(\"fill-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,e.availableImages):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(\"fill\",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)}},gs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},gs.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)}},gs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},gs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},gs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,zo),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},gs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},gs.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(l,this.layoutVertexArray,this.indexArray),h=f.vertexLength,p=[],d=[],m=0,g=s;m<g.length;m+=1){var v=g[m];if(0!==v.length){v!==s[0]&&d.push(p.length/2);var y=this.segments2.prepareSegment(v.length,this.layoutVertexArray,this.indexArray2),x=y.vertexLength;this.layoutVertexArray.emplaceBack(v[0].x,v[0].y),this.indexArray2.emplaceBack(x+v.length-1,x),p.push(v[0].x),p.push(v[0].y);for(var b=1;b<v.length;b++)this.layoutVertexArray.emplaceBack(v[b].x,v[b].y),this.indexArray2.emplaceBack(x+b-1,x+b),p.push(v[b].x),p.push(v[b].y);y.vertexLength+=v.length,y.primitiveLength+=v.length}}for(var _=Do(p,d),w=0;w<_.length;w+=3)this.indexArray.emplaceBack(h+_[w],h+_[w+1],h+_[w+2]);f.vertexLength+=l,f.primitiveLength+=_.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillBucket\",gs,{omit:[\"layers\",\"patternFeatures\"]});var vs=new Si({\"fill-sort-key\":new Ti(Lt.layout_fill[\"fill-sort-key\"])}),ys={paint:new Si({\"fill-antialias\":new wi(Lt.paint_fill[\"fill-antialias\"]),\"fill-opacity\":new Ti(Lt.paint_fill[\"fill-opacity\"]),\"fill-color\":new Ti(Lt.paint_fill[\"fill-color\"]),\"fill-outline-color\":new Ti(Lt.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new wi(Lt.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new wi(Lt.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new ki(Lt.paint_fill[\"fill-pattern\"])}),layout:vs},xs=function(t){function e(e){t.call(this,e,ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r);var n=this.paint._values[\"fill-outline-color\"];\"constant\"===n.value.kind&&void 0===n.value.value&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])},e.prototype.createBucket=function(t){return new gs(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a,o){return Ka(lo(t,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),a.angle,o),n)},e.prototype.isTileClipped=function(){return!0},e}(Ei),bs=Ii([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4).members,_s=ws;function ws(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Ts,this,e)}function Ts(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){var r=t.readVarint()+t.pos;for(;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function ks(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}ws.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],ws.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,a=0,o=0,s=0,l=[];t.pos<r;){if(a<=0){var 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 Ms=As;function As(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 Ms(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}As.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:Ms},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,M=0,A=s;M<A.length;M+=1){var S=A[M];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,M=n[0]*T+n[4]*k+n[12],A=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=M+f,I=A+h,O=S+p,z=E+d,D=new i((M+s)/C,(A+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),qs=Math.pow(2,14)/.5,Hs=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}))};Hs.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)}},Hs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Hs.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)}},Hs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Hs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Hs.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},Hs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Hs.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)},Hs.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 M=u.dist(p);if(M>2*f){var A=u.sub(u.sub(p)._mult(f/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,m,0,0,h),p=A}}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}}}}},Hs.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>qs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Hs.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},Hs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(qs-1):this.distance},Hs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",Hs,{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 Mi(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Ai(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 Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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 Hs(t)},e.prototype.queryRadius=function(t){var e=t,r=Zs(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*Zs(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 Zs(t,e){return e>0?e+2*t:t}var Js=Ii([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"},{name:\"a_pixeloffset\",components:4,type:\"Int16\"}],4),Ks=Ii([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4),Qs=(Ii([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4),Ii([{name:\"a_placed\",components:2,type:\"Uint8\"},{name:\"a_shift\",components:2,type:\"Float32\"}])),$s=(Ii([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]),Ii([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4)),tl=Ii([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);Ii([{name:\"triangle\",components:3,type:\"Uint16\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Uint16\",name:\"glyphStartIndex\"},{type:\"Uint16\",name:\"numGlyphs\"},{type:\"Uint32\",name:\"vertexStartIndex\"},{type:\"Uint32\",name:\"lineStartIndex\"},{type:\"Uint32\",name:\"lineLength\"},{type:\"Uint16\",name:\"segment\"},{type:\"Uint16\",name:\"lowerSize\"},{type:\"Uint16\",name:\"upperSize\"},{type:\"Float32\",name:\"lineOffsetX\"},{type:\"Float32\",name:\"lineOffsetY\"},{type:\"Uint8\",name:\"writingMode\"},{type:\"Uint8\",name:\"placedOrientation\"},{type:\"Uint8\",name:\"hidden\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Int16\",name:\"associatedIconIndex\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Int16\",name:\"rightJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"centerJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"leftJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedTextSymbolIndex\"},{type:\"Int16\",name:\"placedIconSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedIconSymbolIndex\"},{type:\"Uint16\",name:\"key\"},{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"verticalTextBoxStartIndex\"},{type:\"Uint16\",name:\"verticalTextBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"verticalIconBoxStartIndex\"},{type:\"Uint16\",name:\"verticalIconBoxEndIndex\"},{type:\"Uint16\",name:\"featureIndex\"},{type:\"Uint16\",name:\"numHorizontalGlyphVertices\"},{type:\"Uint16\",name:\"numVerticalGlyphVertices\"},{type:\"Uint16\",name:\"numIconVertices\"},{type:\"Uint16\",name:\"numVerticalIconVertices\"},{type:\"Uint16\",name:\"useRuntimeCollisionCircles\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Float32\",name:\"textBoxScale\"},{type:\"Float32\",components:2,name:\"textOffset\"},{type:\"Float32\",name:\"collisionCircleDiameter\"}]),Ii([{type:\"Float32\",name:\"offsetX\"}]),Ii([{type:\"Int16\",name:\"x\"},{type:\"Int16\",name:\"y\"},{type:\"Int16\",name:\"tileUnitDistanceFromAnchor\"}]);function el(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r,{});return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),hi.applyArabicShaping&&(t=hi.applyArabicShaping(t)),t}(t.text,e,r)})),t}var rl={\"!\":\"\\ufe15\",\"#\":\"\\uff03\",$:\"\\uff04\",\"%\":\"\\uff05\",\"&\":\"\\uff06\",\"(\":\"\\ufe35\",\")\":\"\\ufe36\",\"*\":\"\\uff0a\",\"+\":\"\\uff0b\",\",\":\"\\ufe10\",\"-\":\"\\ufe32\",\".\":\"\\u30fb\",\"/\":\"\\uff0f\",\":\":\"\\ufe13\",\";\":\"\\ufe14\",\"<\":\"\\ufe3f\",\"=\":\"\\uff1d\",\">\":\"\\ufe40\",\"?\":\"\\ufe16\",\"@\":\"\\uff20\",\"[\":\"\\ufe47\",\"\\\\\":\"\\uff3c\",\"]\":\"\\ufe48\",\"^\":\"\\uff3e\",_:\"\\ufe33\",\"`\":\"\\uff40\",\"{\":\"\\ufe37\",\"|\":\"\\u2015\",\"}\":\"\\ufe38\",\"~\":\"\\uff5e\",\"\\xa2\":\"\\uffe0\",\"\\xa3\":\"\\uffe1\",\"\\xa5\":\"\\uffe5\",\"\\xa6\":\"\\uffe4\",\"\\xac\":\"\\uffe2\",\"\\xaf\":\"\\uffe3\",\"\\u2013\":\"\\ufe32\",\"\\u2014\":\"\\ufe31\",\"\\u2018\":\"\\ufe43\",\"\\u2019\":\"\\ufe44\",\"\\u201c\":\"\\ufe41\",\"\\u201d\":\"\\ufe42\",\"\\u2026\":\"\\ufe19\",\"\\u2027\":\"\\u30fb\",\"\\u20a9\":\"\\uffe6\",\"\\u3001\":\"\\ufe11\",\"\\u3002\":\"\\ufe12\",\"\\u3008\":\"\\ufe3f\",\"\\u3009\":\"\\ufe40\",\"\\u300a\":\"\\ufe3d\",\"\\u300b\":\"\\ufe3e\",\"\\u300c\":\"\\ufe41\",\"\\u300d\":\"\\ufe42\",\"\\u300e\":\"\\ufe43\",\"\\u300f\":\"\\ufe44\",\"\\u3010\":\"\\ufe3b\",\"\\u3011\":\"\\ufe3c\",\"\\u3014\":\"\\ufe39\",\"\\u3015\":\"\\ufe3a\",\"\\u3016\":\"\\ufe17\",\"\\u3017\":\"\\ufe18\",\"\\uff01\":\"\\ufe15\",\"\\uff08\":\"\\ufe35\",\"\\uff09\":\"\\ufe36\",\"\\uff0c\":\"\\ufe10\",\"\\uff0d\":\"\\ufe32\",\"\\uff0e\":\"\\u30fb\",\"\\uff1a\":\"\\ufe13\",\"\\uff1b\":\"\\ufe14\",\"\\uff1c\":\"\\ufe3f\",\"\\uff1e\":\"\\ufe40\",\"\\uff1f\":\"\\ufe16\",\"\\uff3b\":\"\\ufe47\",\"\\uff3d\":\"\\ufe48\",\"\\uff3f\":\"\\ufe33\",\"\\uff5b\":\"\\ufe37\",\"\\uff5c\":\"\\u2015\",\"\\uff5d\":\"\\ufe38\",\"\\uff5f\":\"\\ufe35\",\"\\uff60\":\"\\ufe36\",\"\\uff61\":\"\\ufe12\",\"\\uff62\":\"\\ufe41\",\"\\uff63\":\"\\ufe42\"};var 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 Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}ol.Varint=0,ol.Fixed64=1,ol.Bytes=2,ol.Fixed32=5;var sl=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf8\");function ll(t){return t.type===ol.Bytes?t.readVarint()+t.pos:t.pos+1}function cl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function ul(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function fl(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function pl(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function dl(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function ml(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function gl(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function vl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function yl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function xl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function bl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function _l(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function wl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}ol.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),i=n>>3,a=this.pos;this.type=7&n,t(i,e,this),this.pos===a&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=bl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=wl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=bl(this.buf,this.pos)+4294967296*bl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=bl(this.buf,this.pos)+4294967296*wl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=nl(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=nl(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,i,a=r.buf;if(i=a[r.pos++],n=(112&i)>>4,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(127&i)<<3,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(127&i)<<10,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(127&i)<<17,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(127&i)<<24,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(1&i)<<31,i<128)return cl(t,n,e);throw new Error(\"Expected varint not more than 10 bytes\")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=this.pos;return this.pos=t,t-e>=12&&sl?function(t,e,r){return sl.decode(t.subarray(e,r))}(this.buf,e,t):function(t,e,r){var n=\"\",i=e;for(;i<r;){var a,o,s,l=t[i],c=null,u=l>239?4:l>223?3:l>191?2:1;if(i+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(a=t[i+1]))&&(c=(31&l)<<6|63&a)<=127&&(c=null):3===u?(a=t[i+1],o=t[i+2],128==(192&a)&&128==(192&o)&&((c=(15&l)<<12|(63&a)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(a=t[i+1],o=t[i+2],s=t[i+3],128==(192&a)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&a)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),i+=u}return n}(this.buf,e,t)},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==ol.Bytes)return t.push(this.readVarint(e));var r=ll(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==ol.Bytes)return t.push(this.readSVarint());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==ol.Bytes)return t.push(this.readBoolean());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==ol.Bytes)return t.push(this.readFloat());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==ol.Bytes)return t.push(this.readDouble());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed32());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed32());var 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(Ml,{}),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 Ml(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 Al(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 f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var Sl=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},El={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};El.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},El.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},El.tlbr.get=function(){return this.tl.concat(this.br)},El.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Sl.prototype,El);var Ll=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=Al(i),o=a.w,s=a.h,l=new 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 M=0,A=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));M<A.length;M+=1){var S=A[M],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,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),L=b.getCharCode(A),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>M&&(M=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],q=V&&V[L];if(!q)continue;P=q.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 H=h-c;d=Math.max(H,d),Vl(k,0,k.length-1,g,M)}h=0;var G=a*_+M;T.lineOffset=Math.max(M,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},Il.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function Bl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function Nl(t,e,r,n,i,a){for(var o=null,s=Fl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],f=Fl(e-u.x,r,i,a)+u.badness;f<=s&&(o=u,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function jl(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=Rl(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"\\u200b\")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(zl[d]||(f+=Rl(d,p,n,i,e,o)),h<t.length()-1){var m=!!(!((s=d)<11904)&&(Yn[\"Bopomofo Extended\"](s)||Yn.Bopomofo(s)||Yn[\"CJK Compatibility Forms\"](s)||Yn[\"CJK Compatibility Ideographs\"](s)||Yn[\"CJK Compatibility\"](s)||Yn[\"CJK Radicals Supplement\"](s)||Yn[\"CJK Strokes\"](s)||Yn[\"CJK Symbols and Punctuation\"](s)||Yn[\"CJK Unified Ideographs Extension A\"](s)||Yn[\"CJK Unified Ideographs\"](s)||Yn[\"Enclosed CJK Letters and Months\"](s)||Yn[\"Halfwidth and Fullwidth Forms\"](s)||Yn.Hiragana(s)||Yn[\"Ideographic Description Characters\"](s)||Yn[\"Kangxi Radicals\"](s)||Yn[\"Katakana Phonetic Extensions\"](s)||Yn.Katakana(s)||Yn[\"Vertical Forms\"](s)||Yn[\"Yi Radicals\"](s)||Yn[\"Yi Syllables\"](s)));(Dl[d]||m||p.imageName)&&l.push(Nl(h+1,f,c,l,Bl(d,t.getCharCode(h+1),m&&u),!1))}}return function t(e){return e?t(e.priorBreak).concat(e.index):[]}(Nl(t.length(),f,c,l,0,!0))}function Ul(t){var e=.5,r=.5;switch(t){case\"right\":case\"top-right\":case\"bottom-right\":e=1;break;case\"left\":case\"top-left\":case\"bottom-left\":e=0}switch(t){case\"bottom\":case\"bottom-right\":case\"bottom-left\":r=1;break;case\"top\":case\"top-right\":case\"top-left\":r=0}return{horizontalAlign:e,verticalAlign:r}}function Vl(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function ql(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,m=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+m+n[1]):f=(p=i[0]+(d+m-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,v=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+g-n[0],h=i[1]+v+n[2]):h=(u=i[1]+(g+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:f,bottom:h,left:p,collisionPadding:o}}Dl[10]=!0,Dl[32]=!0,Dl[38]=!0,Dl[40]=!0,Dl[41]=!0,Dl[43]=!0,Dl[45]=!0,Dl[47]=!0,Dl[173]=!0,Dl[183]=!0,Dl[8203]=!0,Dl[8208]=!0,Dl[8211]=!0,Dl[8231]=!0;var Hl=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);Nn(\"Anchor\",Hl);function Gl(t,e){var r=e.expression;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new pi(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:i}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new pi(s)),maxSize:r.evaluate(new pi(l)),interpolationType:i}}function Yl(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return\"source\"===t.kind?a/128:\"composite\"===t.kind?He(a/128,o/128,i):n}function Wl(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?l(or.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=He(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Xl=Object.freeze({__proto__:null,getSizeData:Gl,evaluateSizeForFeature:Yl,evaluateSizeForZoom:Wl,SIZE_PACK_FACTOR:128});function Zl(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=u.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Kl(t,e,r){return t?.6*e*r:0}function Ql(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function $l(t,e,r,n,i,a){for(var o=Kl(r,i,a),s=Ql(r,n)*a,l=0,c=Jl(t)/2,u=0;u<t.length-1;u++){var f=t[u],h=t[u+1],p=f.dist(h);if(l+p>c){var d=(c-l)/p,m=He(f.x,h.x,d),g=He(f.y,h.y,d),v=new Hl(m,g,h.angleTo(f),u);return v._round(),!o||Zl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f<e/4&&(e=f+e/4),function t(e,r,n,i,a,o,s,l,c){for(var u=o/2,f=Jl(e),h=0,p=r-n,d=[],m=0;m<e.length-1;m++){for(var g=e[m],v=e[m+1],y=g.dist(v),x=v.angleTo(g);p+n<h+y;){var b=((p+=n)-h)/y,_=He(g.x,v.x,b),w=He(g.y,v.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=f){var T=new Hl(_,w,x,m);T._round(),i&&!Zl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],c=void 0,u=0;u<l.length-1;u++){var f=l[u],h=l[u+1];f.x<e&&h.x<e||(f.x<e?f=new i(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round():h.x<e&&(h=new i(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round()),f.y<r&&h.y<r||(f.y<r?f=new i(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round():h.y<r&&(h=new i(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round()),f.x>=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},m=h.reduce(d,0),g=p.reduce(d,0),v=l-m,y=c-g,x=0,b=m,_=0,w=g,T=0,k=v,M=0,A=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,M=S[1]-_,k=S[2]-S[0]-b,A=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,m),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-M,A,a.stretch,g),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,m),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-M,A,c.stretch,g),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,q=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:A/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else a.push(E({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return a}function nc(t,e,r){for(var n=0,i=0,a=t;i<a.length;i+=1){var o=a[i];n+=Math.max(e,Math.min(r,o[1]))-Math.max(e,Math.min(r,o[0]))}return n}function ic(t,e,r){for(var n=[{fixed:-1,stretch:0}],i=0,a=t;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=n[n.length-1];n.push({fixed:s-c.stretch,stretch:c.stretch}),n.push({fixed:s-c.stretch,stretch:c.stretch+(l-s)})}return n.push({fixed:e+1,stretch:r}),n}function ac(t,e,r,n){return t/e*r+n}function oc(t,e,r,n){return t-e*r/n}var sc=function(t,e,r,n,a,o,s,l,c,u){if(this.boxStartIndex=t.length,c){var f=o.top,h=o.bottom,p=o.collisionPadding;p&&(f-=p[1],h+=p[3]);var d=h-f;d>0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var m=o.top*s-l,g=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,m-=x[1]*s,y+=x[2]*s,g+=x[3]*s),u){var b=new i(v,m),_=new i(y,m),w=new i(v,g),T=new i(y,g),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),m=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,m,y,g,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return t<e?-1:t>e?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,m=new lc([],fc);if(0===p)return new i(n,a);for(var g=n;g<o;g+=p)for(var v=a;v<s;v+=p)m.push(new hc(g+d,v+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new hc(r/e,n/e,0,t)}(t),x=m.length;m.length;){var b=m.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,m.push(new hc(b.p.x-d,b.p.y-d,d,t)),m.push(new hc(b.p.x+d,b.p.y-d,d,t)),m.push(new hc(b.p.x-d,b.p.y+d,d,t)),m.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var c=a[o],u=a[l];c.y>t.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var 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),M=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-M:k)}if(g.imageName){var A=s[g.imageName];x=A.sdf,y=1/(b=A.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),q=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(q),D._rotateAround(N,B)._add(V)._add(q),R._rotateAround(N,B)._add(V)._add(q),F._rotateAround(N,B)._add(V)._add(q)}if(c){var H=Math.sin(c),G=Math.cos(c),Y=[G,-H,H,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Mc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Mc.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)},Mc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Mc);var Ac=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};Ac.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},Ac.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)}},Ac.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 M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=ne.factory(M);Tc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(A,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}))}},Ac.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))},Ac.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Ac.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ac.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},Ac.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Ac.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Ac.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}},Ac.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,M=b.tex,A=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,M.x,M.y,r,P,A.x,A.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,M.x+M.w,M.y+M.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)},Ac.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))},Ac.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},Ac.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)}},Ac.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Mc(qi,$s.members,Qi),this.iconCollisionBox=new Mc(qi,$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)}},Ac.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},Ac.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))}},Ac.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ac.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ac.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Ac.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Ac.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Ac.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)},Ac.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},Ac.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})},Ac.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\",Ac,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Ac.MAX_GLYPHS=65535,Ac.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 Ac(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Mi(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var qc=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()})};qc.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))},qc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Hc=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 qc(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]}Hc.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:qn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Hc.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)},Hc.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)}},Hc.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(Hn(e.error)):n(null,Hn(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?qn(e):null,data:qn(n,a)},a)}:function(t){i=!0},s=null,l=Hn(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)}},Hc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Ac){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 Ac&&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=M(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 mu=self.performance,gu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},mu.mark(this._marks.start)};gu.prototype.finish=function(){mu.mark(this._marks.end);var t=mu.getEntriesByName(this._marks.measure);return 0===t.length&&(mu.measure(this._marks.measure,this._marks.start,this._marks.end),t=mu.getEntriesByName(this._marks.measure),mu.clearMarks(this._marks.start),mu.clearMarks(this._marks.end),mu.clearMeasures(this._marks.measure)),t},t.Actor=Hc,t.AlphaImage=So,t.CanonicalTileID=eu,t.CollisionBoxArray=na,t.Color=te,t.DEMData=au,t.DataConstantProperty=wi,t.DictionaryCoder=ou,t.EXTENT=8192,t.ErrorEvent=St,t.EvaluationParameters=pi,t.Event=At,t.Evented=Et,t.FeatureIndex=uu,t.FillBucket=gs,t.FillExtrusionBucket=Os,t.ImageAtlas=Ll,t.ImagePosition=Sl,t.LineBucket=Hs,t.LngLat=Wc,t.LngLatBounds=Yc,t.MercatorCoordinate=tu,t.ONE_EM=24,t.OverscaledTileID=nu,t.Point=i,t.Point$1=i,t.Properties=Si,t.Protobuf=al,t.RGBAImage=Eo,t.RequestManager=q,t.RequestPerformance=gu,t.ResourceType=dt,t.SegmentVector=pa,t.SourceFeatureState=cu,t.StructArrayLayout1ui2=$i,t.StructArrayLayout2f1f2i16=Hi,t.StructArrayLayout2i4=zi,t.StructArrayLayout3ui6=Yi,t.StructArrayLayout4i8=Di,t.SymbolBucket=Ac,t.Texture=Vc,t.Tile=du,t.Transitionable=gi,t.Uniform1f=Sa,t.Uniform1i=Aa,t.Uniform2f=Ea,t.Uniform3f=La,t.Uniform4f=Ca,t.UniformColor=Pa,t.UniformMatrix4f=Oa,t.UnwrappedTileID=ru,t.ValidationError=Ct,t.WritingMode=Cl,t.ZoomHistory=Gn,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=wc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=m,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ht>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(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},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=On,t.endsWith=g,t.enforceCacheSizeLimit=function(t){st(),Q&&Q.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Yl,t.evaluateSizeForZoom=Wl,t.evaluateVariableOffset=dc,t.evented=ci,t.extend=u,t.featureFilter=sn,t.filterObject=y,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=Ul,t.getAnchorJustification=mc,t.getArrayBuffer=xt,t.getImage=Tt,t.getJSON=function(t,e){return yt(u(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=ui,t.getReferrer=gt,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement(\"source\");r=t[a],n=void 0,(n=self.document.createElement(\"a\")).href=r,(n.protocol!==self.document.location.protocol||n.host!==self.document.location.host)&&(i.crossOrigin=\"Anonymous\"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=ho,t.invert=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,M=u*g-h*d,A=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+_*A-w*M+T*k;return C?(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*A-o*L-c*M)*C,t[5]=(r*L-i*A+a*M)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*A+c*k)*C,t[9]=(n*A-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*M-o*S-l*k)*C,t[13]=(r*S-n*M+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t):null},t.isChar=Yn,t.isMapboxURL=H,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return 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=He,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 pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,m=d.minZoom,g=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(m),o),c[\"icon-size\"].possiblyEvaluate(new pi(g),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,m=[0,0];if(d){var g=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),M=function(t){for(var e=0,r=t;e<r.length;e+=1){if(!Xn(r[e].charCodeAt(0)))return!1}return!0}(g)?w:0,A=l.get(\"text-anchor\").evaluate(a,{},o),S=l.get(\"text-variable-anchor\");if(!S){var E=l.get(\"text-radial-offset\").evaluate(a,{},o);m=E?dc(A,[24*E,pc]):l.get(\"text-offset\").evaluate(a,{},o).map((function(t){return 24*t}))}var L=y?\"center\":l.get(\"text-justify\").evaluate(a,{},o),C=l.get(\"symbol-placement\"),P=\"point\"===C?24*l.get(\"text-max-width\").evaluate(a,{},o):0,I=function(){t.allowVerticalPlacement&&Wn(g)&&(p.vertical=Ol(d,e,r,i,s,P,v,A,\"left\",M,m,Cl.vertical,!0,C,f,c))};if(!y&&S){for(var O=\"auto\"===L?S.map((function(t){return mc(t)})):[L],z=!1,D=0;D<O.length;D++){var R=O[D];if(!p.horizontal[R])if(z)p.horizontal[R]=p.horizontal[0];else{var F=Ol(d,e,r,i,s,P,v,\"center\",R,M,m,Cl.horizontal,!1,C,f,c);F&&(p.horizontal[R]=F,z=1===F.positionedLines.length)}}I()}else{\"auto\"===L&&(L=mc(A));var B=Ol(d,e,r,i,s,P,v,A,L,M,m,Cl.horizontal,!1,C,f,c);B&&(p.horizontal[L]=B),I(),Wn(g)&&y&&x&&(p.vertical=Ol(d,e,r,i,s,P,v,A,L,M,m,Cl.vertical,!1,C,f,c))}}var N=void 0,j=!1;if(a.icon&&a.icon.name){var U=n[a.icon.name];U&&(N=function(t,e,r){var n=Ul(r),i=n.horizontalAlign,a=n.verticalAlign,o=e[0],s=e[1],l=o-t.displaySize[0]*i,c=l+t.displaySize[0],u=s-t.displaySize[1]*a;return{image:t,top:u,bottom:u+t.displaySize[1],left:l,right:c}}(i[a.icon.name],l.get(\"icon-offset\").evaluate(a,{},o),l.get(\"icon-anchor\").evaluate(a,{},o)),j=U.sdf,void 0===t.sdfIcons?t.sdfIcons=U.sdf:t.sdfIcons!==U.sdf&&_(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),(U.pixelRatio!==t.pixelRatio||0!==l.get(\"icon-rotate\").constantOr(1))&&(t.iconsNeedLinear=!0))}var V=vc(p.horizontal)||p.vertical;t.iconsInText=!!V&&V.iconsInText,(V||N)&&function(t,e,r,n,i,a,o,s,l,c,u){var f=a.textMaxSize.evaluate(e,{});void 0===f&&(f=o);var h,p=t.layers[0].layout,d=p.get(\"icon-offset\").evaluate(e,{},u),m=vc(r.horizontal),g=o/24,v=t.tilePixelRatio*g,y=t.tilePixelRatio*f/24,x=t.tilePixelRatio*s,b=t.tilePixelRatio*p.get(\"symbol-spacing\"),w=p.get(\"text-padding\")*t.tilePixelRatio,T=p.get(\"icon-padding\")*t.tilePixelRatio,k=p.get(\"text-max-angle\")/180*Math.PI,M=\"map\"===p.get(\"text-rotation-alignment\")&&\"point\"!==p.get(\"symbol-placement\"),A=\"map\"===p.get(\"icon-rotation-alignment\")&&\"point\"!==p.get(\"symbol-placement\"),S=p.get(\"symbol-placement\"),E=b/2,L=p.get(\"icon-text-fit\");n&&\"none\"!==L&&(t.allowVerticalPlacement&&r.vertical&&(h=ql(n,r.vertical,L,p.get(\"icon-text-fit-padding\"),d,g)),m&&(n=ql(n,m,L,p.get(\"icon-text-fit-padding\"),d,g)));var C=function(s,f){f.x<0||f.x>=8192||f.y<0||f.y>=8192||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,M){var A,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(A=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=A[0],U=A[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,q=n.vertical;L=new sc(l,e,c,u,f,q,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,g,v,d,V))}if(i){var H=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,H,T,G),W=o?rc(o,H,T,G):void 0;E=new sc(l,e,c,u,f,i,g,v,!1,H),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=gc(t,e,K,a,s,d,b,m,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=gc(t,e,n.vertical,a,s,d,b,m,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=M/24);t.glyphOffsetArray.length>=Ac.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\");void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey);t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,z,D,I,O,ut,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,M,l,x,T,A,d,e,a,c,u,o)};if(\"line\"===S)for(var P=0,I=ec(e.geometry,0,0,8192,8192);P<I.length;P+=1)for(var O=I[P],z=tc(O,b,k,r.vertical||m,n,24,y,t.overscaling,8192),D=0,R=z;D<R.length;D+=1){var F=R[D],B=m;B&&yc(t,B.text,E,F)||C(O,F)}else if(\"line-center\"===S)for(var N=0,j=e.geometry;N<j.length;N+=1){var U=j[N];if(U.length>1){var V=$l(U,k,r.vertical||m,n,24,y);V&&C(U,V)}}else if(\"Polygon\"===e.type)for(var q=0,H=hs(e.geometry,0);q<H.length;q+=1){var G=H[q],Y=uc(G,16);C(G[0],new Hl(Y.x,Y.y,0))}else if(\"LineString\"===e.type)for(var W=0,X=e.geometry;W<X.length;W+=1){var Z=X[W];C(Z,new Hl(Z[0].x,Z[0].y,0))}else if(\"Point\"===e.type)for(var J=0,K=e.geometry;J<K.length;J+=1)for(var Q=K[J],$=0,tt=Q;$<tt.length;$+=1){var et=tt[$];C([et],new Hl(et.x,et.y,0))}}(t,a,p,N,n,u,f,h,m,j,o)},T=0,k=t.features;T<k.length;T+=1)w();a&&t.generateCollisionDebugBuffers()},t.perspective=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t},t.pick=function(t,e){for(var r={},n=0;n<e.length;n++){var i=e[n];i in t&&(r[i]=t[i])}return r},t.plugin=hi,t.polygonIntersectsPolygon=Za,t.postMapLoadEvent=it,t.postTurnstileEvent=rt,t.potpack=Al,t.refProperties=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],t.register=Nn,t.registerForPluginStateChange=function(t){return t({pluginStatus:ai,pluginURL:oi}),ci.on(\"pluginStateChange\",t),t},t.rotate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);return t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l,t},t.rotateX=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];return 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]),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},t.rotateZ=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];return 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]),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},t.scale=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},t.scale$1=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t},t.scale$2=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t},t.setCacheLimits=function(t,e){at=t,ot=e},t.setRTLTextPlugin=function(t,e,r){if(void 0===r&&(r=!1),ai===ti||ai===ei||ai===ri)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");oi=R.resolveURL(t),ai=ti,ii=e,li(),r||fi()},t.sphericalToCartesian=function(t){var e=t[0],r=t[1],n=t[2];return r+=90,r*=Math.PI/180,n*=Math.PI/180,{x:e*Math.cos(r)*Math.sin(n),y:e*Math.sin(r)*Math.sin(n),z:e*Math.cos(n)}},t.sqrLen=bo,t.styleSpec=Lt,t.sub=yo,t.symbolSize=Xl,t.transformMat3=function(t,e,r){var n=e[0],i=e[1],a=e[2];return t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8],t},t.transformMat4=xo,t.translate=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];return 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]),t},t.triggerPluginCompletionEvent=si,t.uniqueId=h,t.validateCustomStyleLayer=function(t){var e=[],r=t.id;return void 0===r&&e.push({message:\"layers.\"+r+': missing required property \"id\"'}),void 0===t.render&&e.push({message:\"layers.\"+r+': missing required method \"render\"'}),t.renderingMode&&\"2d\"!==t.renderingMode&&\"3d\"!==t.renderingMode&&e.push({message:\"layers.\"+r+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),e},t.validateLight=Cn,t.validateStyle=Ln,t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.vectorTile=Ls,t.version=\"1.10.1\",t.warnOnce=_,t.webpSupported=B,t.window=self,t.wrap=c})),n(0,(function(t){function e(t){var r=typeof t;if(\"number\"===r||\"boolean\"===r||\"string\"===r||null==t)return JSON.stringify(t);if(Array.isArray(t)){for(var n=\"[\",i=0,a=t;i<a.length;i+=1){n+=e(a[i])+\",\"}return n+\"]\"}for(var o=Object.keys(t).sort(),s=\"{\",l=0;l<o.length;l++)s+=JSON.stringify(o[l])+\":\"+e(t[o[l]])+\",\";return s+\"}\"}function r(r){for(var n=\"\",i=0,a=t.refProperties;i<a.length;i+=1){n+=\"/\"+e(r[a[i]])}return n}var n=function(t){this.keyCache={},t&&this.replace(t)};n.prototype.replace=function(t){this._layerConfigs={},this._layers={},this.update(t,[])},n.prototype.update=function(e,n){for(var i=this,a=0,o=e;a<o.length;a+=1){var s=o[a];this._layerConfigs[s.id]=s;var l=this._layers[s.id]=t.createStyleLayer(s);l._featureFilter=t.featureFilter(l.filter),this.keyCache[s.id]&&delete this.keyCache[s.id]}for(var c=0,u=n;c<u.length;c+=1){var f=u[c];delete this.keyCache[f],delete this._layerConfigs[f],delete this._layers[f]}this.familiesBySource={};for(var h=0,p=function(t,e){for(var n={},i=0;i<t.length;i++){var a=e&&e[t[i].id]||r(t[i]);e&&(e[t[i].id]=a);var o=n[a];o||(o=n[a]=[]),o.push(t[i])}var s=[];for(var l in n)s.push(n[l]);return s}(t.values(this._layerConfigs),this.keyCache);h<p.length;h+=1){var d=p[h].map((function(t){return i._layers[t.id]})),m=d[0];if(\"none\"!==m.visibility){var g=m.source||\"\",v=this.familiesBySource[g];v||(v=this.familiesBySource[g]={});var y=m.sourceLayer||\"_geojsonTileLayer\",x=v[y];x||(x=v[y]=[]),x.push(d)}}};var i=function(e){var r={},n=[];for(var i in e){var a=e[i],o=r[i]={};for(var s in a){var l=a[+s];if(l&&0!==l.bitmap.width&&0!==l.bitmap.height){var c={x:0,y:0,w:l.bitmap.width+2,h:l.bitmap.height+2};n.push(c),o[s]={rect:c,metrics:l.metrics}}}}var u=t.potpack(n),f=u.w,h=u.h,p=new t.AlphaImage({width:f||1,height:h||1});for(var d in e){var m=e[d];for(var g in m){var v=m[+g];if(v&&0!==v.bitmap.width&&0!==v.bitmap.height){var y=r[d][g].rect;t.AlphaImage.copy(v.bitmap,p,{x:0,y:0},{x:y.x+1,y:y.y+1},v.bitmap)}}}this.image=p,this.positions=r};t.register(\"GlyphAtlas\",i);var a=function(e){this.tileID=new t.OverscaledTileID(e.tileID.overscaledZ,e.tileID.wrap,e.tileID.canonical.z,e.tileID.canonical.x,e.tileID.canonical.y),this.uid=e.uid,this.zoom=e.zoom,this.pixelRatio=e.pixelRatio,this.tileSize=e.tileSize,this.source=e.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=e.showCollisionBoxes,this.collectResourceTiming=!!e.collectResourceTiming,this.returnDependencies=!!e.returnDependencies,this.promoteId=e.promoteId};function o(e,r,n){for(var i=new t.EvaluationParameters(r),a=0,o=e;a<o.length;a+=1){o[a].recalculate(i,n)}}function s(e,r){var n=t.getArrayBuffer(e.request,(function(e,n,i,a){e?r(e):n&&r(null,{vectorTile:new t.vectorTile.VectorTile(new t.pbf(n)),rawData:n,cacheControl:i,expires:a})}));return function(){n.cancel(),r()}}a.prototype.parse=function(e,r,n,a,s){var l=this;this.status=\"parsing\",this.data=e,this.collisionBoxArray=new t.CollisionBoxArray;var c=new t.DictionaryCoder(Object.keys(e.layers).sort()),u=new t.FeatureIndex(this.tileID,this.promoteId);u.bucketLayerIDs=[];var f,h,p,d,m={},g={featureIndex:u,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:n},v=r.familiesBySource[this.source];for(var y in v){var x=e.layers[y];if(x){1===x.version&&t.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+y+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var b=c.encode(y),_=[],w=0;w<x.length;w++){var T=x.feature(w),k=u.getId(T,y);_.push({feature:T,id:k,index:w,sourceLayerIndex:b})}for(var M=0,A=v[y];M<A.length;M+=1){var S=A[M],E=S[0];if(!(E.minzoom&&this.zoom<Math.floor(E.minzoom)))if(!(E.maxzoom&&this.zoom>=E.maxzoom))if(\"none\"!==E.visibility)o(S,this.zoom,n),(m[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id})))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(g.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in m){var l=m[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(m).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,I.call(l))})):d={},I.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===i)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===i)t(e.geometry,r);else if(\"Polygon\"===i)h(e.coordinates,r);else if(\"MultiPolygon\"===i)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e};function h(t,e){if(0!==t.length){p(t[0],e);for(var r=1;r<t.length;r++)p(t[r],!e)}}function p(t,e){for(var r=0,n=0,i=t.length,a=i-1;n<i;a=n++)r+=(t[n][0]-t[a][0])*(t[a][1]+t[n][1]);r>=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,m=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};m.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r<n.length;r+=1){var i=n[r];e.push([new t.Point$1(i[0],i[1])])}return e}for(var a=[],o=0,s=this._feature.geometry;o<s.length;o+=1){for(var l=[],c=0,u=s[o];c<u.length;c+=1){var f=u[c];l.push(new t.Point$1(f[0],f[1]))}a.push(l)}return a},m.prototype.toGeoJSON=function(t,e,r){return d.call(this,t,e,r)};var g=function(e){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=t.EXTENT,this.length=e.length,this._features=e};g.prototype.feature=function(t){return new m(this._features[t])};var v=t.vectorTile.VectorTileFeature,y=x;function x(t,e){this.options=e||{},this.features=t,this.length=t.length}function b(t,e){this.id=\"number\"==typeof t.id?t.id:void 0,this.type=t.type,this.rawGeometry=1===t.type?[t.geometry]:t.geometry,this.properties=t.tags,this.extent=e||4096}x.prototype.feature=function(t){return new b(this.features[t],this.options.extent)},b.prototype.loadGeometry=function(){var e=this.rawGeometry;this.geometry=[];for(var r=0;r<e.length;r++){for(var n=e[r],i=[],a=0;a<n.length;a++)i.push(new t.Point$1(n[a][0],n[a][1]));this.geometry.push(i)}return this.geometry},b.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},b.prototype.toGeoJSON=v.prototype.toGeoJSON;var _=M,w=M,T=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new y(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return M({layers:r})},k=y;function M(e){var r=new t.pbf;return function(t,e){for(var r in t.layers)e.writeMessage(3,A,t.layers[r])}(e,r),r.finish()}function A(t,e){var r;e.writeVarintField(15,t.version||1),e.writeStringField(1,t.name||\"\"),e.writeVarintField(5,t.extent||4096);var n={keys:[],values:[],keycache:{},valuecache:{}};for(r=0;r<t.length;r++)n.feature=t.feature(r),e.writeMessage(2,S,n);var i=n.keys;for(r=0;r<i.length;r++)e.writeStringField(3,i[r]);var a=n.values;for(r=0;r<a.length;r++)e.writeMessage(4,I,a[r])}function S(t,e){var r=t.feature;void 0!==r.id&&e.writeVarintField(1,r.id),e.writeMessage(2,E,t),e.writeVarintField(3,r.type),e.writeMessage(4,P,r)}function E(t,e){var r=t.feature,n=t.keys,i=t.values,a=t.keycache,o=t.valuecache;for(var s in r.properties){var l=a[s];void 0===l&&(n.push(s),l=n.length-1,a[s]=l),e.writeVarint(l);var c=r.properties[s],u=typeof c;\"string\"!==u&&\"boolean\"!==u&&\"number\"!==u&&(c=JSON.stringify(c));var f=u+\":\"+c,h=o[f];void 0===h&&(i.push(c),h=i.length-1,o[f]=h),e.writeVarint(h)}}function L(t,e){return(e<<3)+(7&t)}function C(t){return t<<1^t>>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s<o;s++){var l=r[s],c=1;1===n&&(c=l.length),e.writeVarint(L(1,c));for(var u=3===n?l.length-1:l.length,f=0;f<u;f++){1===f&&1!==n&&e.writeVarint(L(2,u-1));var h=l[f].x-i,p=l[f].y-a;e.writeVarint(C(h)),e.writeVarint(C(p)),i+=h,a+=p}3===n&&e.writeVarint(L(7,1))}}function I(t,e){var r=typeof t;\"string\"===r?e.writeStringField(1,t):\"boolean\"===r?e.writeBooleanField(7,t):\"number\"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}function O(t,e,r,n,i,a){if(!(i-n<=r)){var o=n+i>>1;!function t(e,r,n,i,a,o){for(;a>i;){if(a-i>600){var s=a-i+1,l=n-i+1,c=Math.log(s),u=.5*Math.exp(2*c/3),f=.5*Math.sqrt(c*u*(s-u)/s)*(l-s/2<0?-1:1),h=Math.max(i,Math.floor(n-l*u/s+f)),p=Math.min(a,Math.floor(n+(s-l)*u/s+f));t(e,r,n,h,p,o)}var d=r[2*n+o],m=i,g=a;for(z(e,r,i,n),r[2*a+o]>d&&z(e,r,i,a);m<g;){for(z(e,r,m,g),m++,g--;r[2*m+o]<d;)m++;for(;r[2*g+o]>d;)g--}r[2*i+o]===d?z(e,r,i,g):(g++,z(e,r,g,a)),g<=n&&(i=g+1),n<=g&&(a=g-1)}}(t,e,o,n,i,a%2),O(t,e,r,n,o-1,a+1),O(t,e,r,o+1,i,a+1)}}function z(t,e,r,n){D(t,r,n),D(e,2*r,2*n),D(e,2*r+1,2*n+1)}function D(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function R(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var F=function(t){return t[0]},B=function(t){return t[1]},N=function(t,e,r,n,i){void 0===e&&(e=F),void 0===r&&(r=B),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l<t.length;l++)o[l]=l,s[2*l]=e(t[l]),s[2*l+1]=r(t[l]);O(o,s,n,0,o.length-1,0)};N.prototype.range=function(t,e,r,n){return function(t,e,r,n,i,a,o){for(var s,l,c=[0,t.length-1,0],u=[];c.length;){var f=c.pop(),h=c.pop(),p=c.pop();if(h-p<=o)for(var d=p;d<=h;d++)s=e[2*d],l=e[2*d+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[d]);else{var m=Math.floor((p+h)/2);s=e[2*m],l=e[2*m+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[m]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(c.push(p),c.push(m-1),c.push(g)),(0===f?i>=s:a>=l)&&(c.push(m+1),c.push(h),c.push(g))}}return u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},N.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),f=o.pop();if(u-f<=a)for(var h=f;h<=u;h++)R(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+u)/2),d=e[2*p],m=e[2*p+1];R(d,m,r,n)<=l&&s.push(t[p]);var g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function q(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function H(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function Z(t){return t.x}function J(t){return t.y}function K(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function Q(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)$(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n<e.length;n++)$(t,e[n]);else if(\"MultiPolygon\"===r)for(n=0;n<e.length;n++)for(var i=0;i<e[n].length;i++)$(t,e[n][i])}(i),i}function $(t,e){for(var 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 u=[];nt(i[c],u,o,!0),s.push(u)}}t.push(Q(l,a,s,e.properties))}}function et(t,e){e.push(it(t[0])),e.push(at(t[1])),e.push(0)}function rt(t,e,r,n){for(var i,a,o=0,s=0;s<t.length;s++){var l=it(t[s][0]),c=at(t[s][1]);e.push(l),e.push(c),e.push(0),s>0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,function t(e,r,n,i){for(var a,o=i,s=n-r>>1,l=n-r,c=e[r],u=e[r+1],f=e[n],h=e[n+1],p=r+3;p<n;p+=3){var d=K(e[p],e[p+1],c,u,f,h);if(d>o)a=p,o=d;else if(d===o){var m=Math.abs(p-s);m<l&&(a=p,l=m)}}o>i&&(a-r>3&&t(e,r,a,i),e[a+2]=o,n-a>3&&t(e,a,n,i))}(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function nt(t,e,r,n){for(var i=0;i<t.length;i++){var a=[];rt(t[i],a,r,n),e.push(a)}}function it(t){return t/360+.5}function at(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function ot(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o<n)return t;if(o<r||a>=n)return null;for(var l=[],c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var s,l,c=ct(t),u=0===i?ht:pt,f=t.start,h=0;h<t.length-3;h+=3){var p=t[h],d=t[h+1],m=t[h+2],g=t[h+3],v=t[h+4],y=0===i?p:d,x=0===i?g:v,b=!1;o&&(s=Math.sqrt(Math.pow(p-g,2)+Math.pow(d-v,2))),y<r?x>r&&(l=u(c,p,d,g,v,r),o&&(c.start=f+s*l)):y>n?x<n&&(l=u(c,p,d,g,v,n),o&&(c.start=f+s*l)):ft(c,p,d,m),x<r&&y>=r&&(l=u(c,p,d,g,v,r),b=!0),x>n&&y<=n&&(l=u(c,p,d,g,v,n),b=!0),!a&&b&&(o&&(c.end=f+s*l),e.push(c),c=ct(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],m=t[_+2],(y=0===i?p:d)>=r&&y<=n&&ft(c,p,d,m),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&ft(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ct(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ut(t,e,r,n,i,a){for(var o=0;o<t.length;o++)lt(t[o],e,r,n,i,a,!1)}function ft(t,e,r,n){t.push(e),t.push(r),t.push(n)}function ht(t,e,r,n,i,a){var o=(a-e)/(n-e);return t.push(a),t.push(r+(i-r)*o),t.push(1),o}function pt(t,e,r,n,i,a){var o=(a-r)/(i-r);return t.push(e+(n-e)*o),t.push(a),t.push(1),o}function dt(t,e){for(var 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 vt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function yt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,xt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)bt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)bt(o,i[s],t,r,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)bt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var f in 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(q(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?H(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?H(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var Mt=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return Mt.prototype.setReferrer=function(t,e){this.referrer=e},Mt.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},Mt.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Mt.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Mt.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Mt.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Mt.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Mt.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Mt.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Mt.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Mt.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Mt.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Mt.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},Mt.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},Mt.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Mt.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},Mt.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},Mt.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Mt(t.window)),Mt})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"==typeof window||\"undefined\"==typeof document?\"not a browser\":Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}e&&e.terminate();return URL.revokeObjectURL(n),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?function(t){void 0===n[t]&&(n[t]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);if(!n||r.isContextLost())return!1;return r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS)}(t));return n[t]}(t&&t.failIfMajorPerformanceCaveat)?void 0:\"insufficient WebGL support\":\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\"}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function f(t){var e=t.userImage;if(e&&e.render&&e.render())return t.data.replace(new Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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 M(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 A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.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]},A.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=M(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 A(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=M(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 A(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 r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\"raster-dem\":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];f[m.featureIndex]||(f[m.featureIndex]=!0,h.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),G=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.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=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.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=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.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=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.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),Z=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.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),J=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.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=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.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=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.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=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.getDefault=function(){return this.gl.LESS},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)},e}(q),rt=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}},e}(q),nt=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.getDefault=function(){var t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),it=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),at=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.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),ot=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(q),st=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.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(q),lt=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.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(q),ct=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.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(q),ut=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.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(q),ft=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.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),ht=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),mt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),gt=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.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=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.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=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.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var 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 Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=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};At.disabled=new At({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 H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(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]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),M=te(k,a).point,A={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,M,k,A,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,M,k,A,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 M=ae(e.writingMode,T,k,d);if(M)return M}m=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)m.push(le(g*l.getoffsetX(A),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 M=g-d;v=se(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._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,M=new t.Point(-100,-100),A=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>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[C]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([C],M.x,M.y,A.x,A.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 q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!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 q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=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 H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};A=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(A=A&&T):T=A&&T:A=T=A&&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)),A&&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,A||M,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];A(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)A(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 M=w?Ie:T;d(e.text,l,M);var A=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=A||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=A||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),Me=Math.pow(2,24),Ae=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*Me+r*Ae+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\"]),qe=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}(),He=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(qe,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);He.getSourceType=function(t){return D[t]},He.setSourceType=function(t,e){D[t]=e},He.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Mr=function(t){return{u_matrix:t}},Ar=function(e,r,n,i){return t.extend(Mr(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(Ar(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:qr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function qr(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 Hr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.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 M=0,A=0,S=f;A<S.length;A+=1)for(var E=S[A],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(M++,P,I,O,z,0),k.emplace(M++,P,I,O,z,1),k.emplace(M++,P,I,O,z,2),k.emplace(M++,P,I,O,z,3)}(!Hr||Hr.length<2*h)&&(Hr=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(Hr,!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,Mt.disabled,At.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 $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,M=x.height,A=$r(x.anchor,k,M,x.textOffset,x.textBoxScale,T),S=n?te(b.add(A),s).point:_.point.add(r?A.rotate(-o.angle):A),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,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=i;k<M.length;k+=1){var A=M[k],S=r.getTile(A),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 q=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||q||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var H=pe(S,1,e.transform.zoom),G=Qt(A.posMatrix,v,g,e.transform,H),Y=$t(A.posMatrix,v,g,e.transform,H),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,A.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}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?Ar(S,t,m,x):Mr(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\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?kr(k,t,M,h,m,f,g):Tr(k,t,M,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,A,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=Mt.disabled,c=At.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=At.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,Mt.ReadOnly),h=At.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,M=d;k<M.length;k+=1){var A=M[k],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=A.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=At.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,Mt.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,Mt.disabled,At.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,Mt.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),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,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)),A.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?Mt.ReadWrite:Mt.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,Mt.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 Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,At.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,At.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,Mt.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,At.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\")?Mt.ReadWrite:Mt.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 M=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,M,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=At.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.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 At({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,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$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 At({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 At({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 At({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]=At.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 Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(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 M=this.style._layers[i[this.currentLayer]],A=a[M.source],S=(\"symbol\"===M.type?h:f)[M.source];this._renderTileClippingMasks(M,u[M.source]),this.renderLayer(this,A,M,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 Mn=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={}},An={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}};Mn.prototype.clone=function(){var t=new Mn(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},An.minZoom.get=function(){return this._minZoom},An.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},An.maxZoom.get=function(){return this._maxZoom},An.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},An.minPitch.get=function(){return this._minPitch},An.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},An.maxPitch.get=function(){return this._maxPitch},An.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},An.renderWorldCopies.get=function(){return this._renderWorldCopies},An.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},An.worldSize.get=function(){return this.tileSize*this.scale},An.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},An.size.get=function(){return new t.Point(this.width,this.height)},An.bearing.get=function(){return-this.angle/Math.PI*180},An.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))},An.pitch.get=function(){return this._pitch/Math.PI*180},An.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())},An.fov.get=function(){return this._fov/Math.PI*180},An.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())},An.zoom.get=function(){return this._zoom},An.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())},An.center.get=function(){return this._center},An.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},An.padding.get=function(){return this._edgeInsets.toJSON()},An.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},An.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Mn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Mn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Mn.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)},Mn.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},Mn.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 M=(g<<1)+k%2,A=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:M,y:A,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Mn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},An.unmodified.get=function(){return this._unmodified},Mn.prototype.zoomScale=function(t){return Math.pow(2,t)},Mn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Mn.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)},Mn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},An.point.get=function(){return this.project(this.center)},Mn.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())},Mn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Mn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Mn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Mn.prototype.coordinateLocation=function(t){return t.toLngLat()},Mn.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)},Mn.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])},Mn.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)))},Mn.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},Mn.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])},Mn.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]},Mn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Mn.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}},Mn.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={}}},Mn.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},Mn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Mn.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(Mn.prototype,An);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 qn=function(t){this.reset(),this.numTouches=t.numTouches};qn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},qn.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)))},qn.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)}}},qn.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 Hn=function(t){this.singleTap=new qn(t),this.numTaps=t.numTaps,this.reset()};Hn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Hn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Hn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Hn.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 Hn({numTouches:1,numTaps:2}),this._zoomOut=new Hn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new Hn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),A=w/a.zoomScale(M-o);_=Math.sqrt(A/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,Mi=t.window.HTMLElement,Ai=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 Mn(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 Mi))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 He(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 He(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||Ai&&r instanceof Ai){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||Ai&&r instanceof Ai?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||Ai&&r instanceof Ai);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},qi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Hi(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}qi.prototype.getDefaultPosition=function(){return\"bottom-left\"},qi.prototype._onMove=function(){Hi(this._map,this._container,this.options)},qi.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},qi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},qi.prototype.setUnit=function(t){this.options.unit=t,Hi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:qi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:He,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],458:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t(\"convex-hull\");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],f=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;f.push(a[u[s]].slice())}c.push(f)}return c}},{\"convex-hull\":141}],459:[function(t,e,r){var n=t(\"./normalize\"),i=t(\"gl-mat4/create\"),a=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function m(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,g,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),g||(g=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],L=u[13],C=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(h[0]=M,h[1]=A,h[2]=S,h[3]=P,!s(f,f))return!1;l(f,f),y=g,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else g[0]=g[1]=g[2]=0,g[3]=1;if(e[0]=E,e[1]=L,e[2]=C,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),m(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),m(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),m(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":460,\"gl-mat4/clone\":280,\"gl-mat4/create\":282,\"gl-mat4/determinant\":283,\"gl-mat4/invert\":295,\"gl-mat4/transpose\":308,\"gl-vec3/cross\":364,\"gl-vec3/dot\":369,\"gl-vec3/length\":379,\"gl-vec3/normalize\":386}],460:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],461:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),i=t(\"mat4-recompose\"),a=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function h(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,f){if(0===o(e)||0===o(r))return!1;var h=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=a(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!h||!p)&&(n(u.translate,l.translate,c.translate,f),n(u.skew,l.skew,c.skew,f),n(u.scale,l.scale,c.scale,f),n(u.perspective,l.perspective,c.perspective,f),s(u.quaternion,l.quaternion,c.quaternion,f),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":283,\"gl-vec3/lerp\":380,\"mat4-decompose\":459,\"mat4-recompose\":462,\"quat-slerp\":525}],462:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{\"gl-mat4/create\":282,\"gl-mat4/fromRotationTranslation\":286,\"gl-mat4/identity\":293,\"gl-mat4/multiply\":297,\"gl-mat4/scale\":305,\"gl-mat4/translate\":307}],463:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],464:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),i=t(\"mat4-interpolate\"),a=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),f=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),h=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],h=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)h[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&h[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=h[c];else i(o,h,d,(t-e[r])/u)}var m=this.computedUp;m[0]=o[1],m[1]=o[5],m[2]=o[9],f(m,m);var g=this.computedInverse;a(g,o);var v=this.computedEye,y=g[15];v[0]=g[12]/y,v[1]=g[13]/y,v[2]=g[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||h,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var i=0,a=0;a<3;++a)i+=Math.pow(r[a]-e[a],2);i=Math.log(Math.sqrt(i)),this.computedRadius[0]=i},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var i=this.computedInverse;e&&s(i,i,e),r&&o(i,i,r),n&&l(i,i,n),this.setMatrix(t,a(this.computedMatrix,i))};var m=[0,0,0];d.pan=function(t,e,r,n){m[0]=-(e||0),m[1]=-(r||0),m[2]=-(n||0),this.recalcMatrix(t);var i=this.computedInverse;u(i,i,m),this.setMatrix(t,a(i,i))},d.translate=function(t,e,r,n){m[0]=e||0,m[1]=r||0,m[2]=n||0,this.recalcMatrix(t);var i=this.computedMatrix;u(i,i,m),this.setMatrix(t,i)},d.setMatrix=function(t,e){if(!(t<this.lastT())){this._time.push(t);for(var r=0;r<16;++r)this._components.push(e[r])}},d.setDistance=function(t,e){this.computedRadius[0]=e},d.setDistanceLimits=function(t,e){var r=this._limits;r[0]=t,r[1]=e},d.getDistanceLimits=function(t){var e=this._limits;return t?(t[0]=e[0],t[1]=e[1],t):e}},{\"binary-search-bounds\":103,\"gl-mat4/invert\":295,\"gl-mat4/lookAt\":296,\"gl-mat4/rotateX\":302,\"gl-mat4/rotateY\":303,\"gl-mat4/rotateZ\":304,\"gl-mat4/scale\":305,\"gl-mat4/translate\":307,\"gl-vec3/normalize\":386,\"mat4-interpolate\":461}],465:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.length;if(e<3){for(var r=new Array(e),i=0;i<e;++i)r[i]=i;return 2===e&&t[0][0]===t[1][0]&&t[0][1]===t[1][1]?[0]:r}var a=new Array(e);for(i=0;i<e;++i)a[i]=i;a.sort((function(e,r){var n=t[e][0]-t[r][0];return n||t[e][1]-t[r][1]}));var o=[a[0],a[1]],s=[a[0],a[1]];for(i=2;i<e;++i){for(var l=a[i],c=t[l],u=o.length;u>1&&n(t[o[u-2]],t[o[u-1]],c)<=0;)u-=1,o.pop();for(o.push(l),u=s.length;u>1&&n(t[s[u-2]],t[s[u-1]],c)>=0;)u-=1,s.pop();s.push(l)}r=new Array(s.length+o.length-2);for(var f=0,h=(i=0,o.length);i<h;++i)r[f++]=o[i];for(var p=s.length-2;p>0;--p)r[f++]=s[p];return r};var n=t(\"robust-orientation\")[3]},{\"robust-orientation\":544}],466:[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\":468}],467:[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}},{}],468:[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}},{}],469:[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\":596}],470:[function(t,e,r){(function(t,r){(function(){\n",
       "/*! Native Promise Only\n",
       "    v0.8.1 (c) Kyle Simpson\n",
       "    MIT License: http://getify.mit-license.org\n",
       "*/\n",
       "!function(t,r,n){r[t]=r[t]||n(),void 0!==e&&e.exports&&(e.exports=r[t])}(\"Promise\",void 0!==t?t:this,(function(){\"use strict\";var t,e,n,i=Object.prototype.toString,a=void 0!==r?function(t){return r(t)}:setTimeout;try{Object.defineProperty({},\"x\",{}),t=function(t,e,r,n){return Object.defineProperty(t,e,{value:r,writable:!0,configurable:!1!==n})}}catch(e){t=function(t,e,r){return t[e]=r,t}}function o(t,r){n.add(t,r),e||(e=a(n.drain))}function s(t){var e,r=typeof t;return null==t||\"object\"!=r&&\"function\"!=r||(e=t.then),\"function\"==typeof e&&e}function l(){for(var t=0;t<this.chain.length;t++)c(this,1===this.state?this.chain[t].success:this.chain[t].failure,this.chain[t]);this.chain.length=0}function c(t,e,r){var n,i;try{!1===e?r.reject(t.msg):(n=!0===e?t.msg:e.call(void 0,t.msg))===r.promise?r.reject(TypeError(\"Promise-chain cycle\")):(i=s(n))?i.call(n,r.resolve,r.reject):r.resolve(n)}catch(t){r.reject(t)}}function u(t){var e,r=this;if(!r.triggered){r.triggered=!0,r.def&&(r=r.def);try{(e=s(t))?o((function(){var n=new p(r);try{e.call(t,(function(){u.apply(n,arguments)}),(function(){f.apply(n,arguments)}))}catch(t){f.call(n,t)}})):(r.msg=t,r.state=1,r.chain.length>0&&o(l,r))}catch(t){f.call(new p(r),t)}}}function f(t){var e=this;e.triggered||(e.triggered=!0,e.def&&(e=e.def),e.msg=t,e.state=2,e.chain.length>0&&o(l,e))}function h(t,e,r,n){for(var i=0;i<e.length;i++)!function(i){t.resolve(e[i]).then((function(t){r(i,t)}),n)}(i)}function p(t){this.def=t,this.triggered=!1}function d(t){this.promise=t,this.state=0,this.triggered=!1,this.chain=[],this.msg=void 0}function m(t){if(\"function\"!=typeof t)throw TypeError(\"Not a function\");if(0!==this.__NPO__)throw TypeError(\"Not a promise\");this.__NPO__=1;var e=new d(this);this.then=function(t,r){var n={success:\"function\"!=typeof t||t,failure:\"function\"==typeof r&&r};return n.promise=new this.constructor((function(t,e){if(\"function\"!=typeof t||\"function\"!=typeof e)throw TypeError(\"Not a function\");n.resolve=t,n.reject=e})),e.chain.push(n),0!==e.state&&o(l,e),n.promise},this.catch=function(t){return this.then(void 0,t)};try{t.call(void 0,(function(t){u.call(e,t)}),(function(t){f.call(e,t)}))}catch(t){f.call(e,t)}}n=function(){var t,r,n;function i(t,e){this.fn=t,this.self=e,this.next=void 0}return{add:function(e,a){n=new i(e,a),r?r.next=n:t=n,r=n,n=void 0},drain:function(){var n=t;for(t=r=e=void 0;n;)n.fn.call(n.self),n=n.next}}}();var g=t({},\"constructor\",m,!1);return m.prototype=g,t(g,\"__NPO__\",0,!1),t(m,\"resolve\",(function(t){return t&&\"object\"==typeof t&&1===t.__NPO__?t:new this((function(e,r){if(\"function\"!=typeof e||\"function\"!=typeof r)throw TypeError(\"Not a function\");e(t)}))})),t(m,\"reject\",(function(t){return new this((function(e,r){if(\"function\"!=typeof e||\"function\"!=typeof r)throw TypeError(\"Not a function\");r(t)}))})),t(m,\"all\",(function(t){var e=this;return\"[object Array]\"!=i.call(t)?e.reject(TypeError(\"Not an array\")):0===t.length?e.resolve([]):new e((function(r,n){if(\"function\"!=typeof r||\"function\"!=typeof n)throw TypeError(\"Not a function\");var i=t.length,a=Array(i),o=0;h(e,t,(function(t,e){a[t]=e,++o===i&&r(a)}),n)}))})),t(m,\"race\",(function(t){var e=this;return\"[object Array]\"!=i.call(t)?e.reject(TypeError(\"Not an array\")):new e((function(r,n){if(\"function\"!=typeof r||\"function\"!=typeof n)throw TypeError(\"Not a function\");h(e,t,(function(t,e){r(e)}),n)}))})),m}))}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{},t(\"timers\").setImmediate)},{timers:593}],471:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\");function i(t){return\"a\"+t}function a(t){return\"d\"+t}function o(t,e){return\"c\"+t+\"_\"+e}function s(t){return\"s\"+t}function l(t,e){return\"t\"+t+\"_\"+e}function c(t){return\"o\"+t}function u(t){return\"x\"+t}function f(t){return\"p\"+t}function h(t,e){return\"d\"+t+\"_\"+e}function p(t){return\"i\"+t}function d(t,e){return\"u\"+t+\"_\"+e}function m(t){return\"b\"+t}function g(t){return\"y\"+t}function v(t){return\"e\"+t}function y(t){return\"v\"+t}e.exports=function(t){function e(t){throw new Error(\"ndarray-extract-contour: \"+t)}\"object\"!=typeof t&&e(\"Must specify arguments\");var r=t.order;Array.isArray(r)||e(\"Must specify order\");var b=t.arrayArguments||1;b<1&&e(\"Must have at least one array argument\");var _=t.scalarArguments||0;_<0&&e(\"Scalar arg count must be > 0\");\"function\"!=typeof t.vertex&&e(\"Must specify vertex creation function\");\"function\"!=typeof t.cell&&e(\"Must specify cell creation function\");\"function\"!=typeof t.phase&&e(\"Must specify phase function\");for(var w=t.getters||[],T=new Array(b),k=0;k<b;++k)w.indexOf(k)>=0?T[k]=!0:T[k]=!1;return function(t,e,r,b,_,w){var T=w.length,k=_.length;if(k<2)throw new Error(\"ndarray-extract-contour: Dimension must be at least 2\");for(var M=\"extractContour\"+_.join(\"_\"),A=[],S=[],E=[],L=0;L<T;++L)E.push(i(L));for(L=0;L<b;++L)E.push(u(L));for(L=0;L<k;++L)S.push(s(L)+\"=\"+i(0)+\".shape[\"+L+\"]|0\");for(L=0;L<T;++L){S.push(a(L)+\"=\"+i(L)+\".data\",c(L)+\"=\"+i(L)+\".offset|0\");for(var C=0;C<k;++C)S.push(l(L,C)+\"=\"+i(L)+\".stride[\"+C+\"]|0\")}for(L=0;L<T;++L){S.push(f(L)+\"=\"+c(L)),S.push(o(L,0));for(C=1;C<1<<k;++C){for(var P=[],I=0;I<k;++I)C&1<<I&&P.push(\"-\"+l(L,I));S.push(h(L,C)+\"=(\"+P.join(\"\")+\")|0\"),S.push(o(L,C)+\"=0\")}}for(L=0;L<T;++L)for(C=0;C<k;++C){var O=[l(L,_[C])];C>0&&O.push(l(L,_[C-1])+\"*\"+s(_[C-1])),S.push(d(L,_[C])+\"=(\"+O.join(\"-\")+\")|0\")}for(L=0;L<k;++L)S.push(p(L)+\"=0\");S.push(\"N=0\");var z=[\"2\"];for(L=k-2;L>=0;--L)z.push(s(_[L]));S.push(\"Q=(\"+z.join(\"*\")+\")|0\",\"P=mallocUint32(Q)\",\"V=mallocUint32(Q)\",\"X=0\"),S.push(m(0)+\"=0\");for(C=1;C<1<<k;++C){var D=[],R=[];for(I=0;I<k;++I)C&1<<I&&(0===R.length?D.push(\"1\"):D.unshift(R.join(\"*\"))),R.push(s(_[I]));var F=\"\";D[0].indexOf(s(_[k-2]))<0&&(F=\"-\");var B=x(k,C,_);S.push(v(B)+\"=(-\"+D.join(\"-\")+\")|0\",g(B)+\"=(\"+F+D.join(\"-\")+\")|0\",m(B)+\"=0\")}function N(t,e){A.push(\"for(\",p(_[t]),\"=\",e,\";\",p(_[t]),\"<\",s(_[t]),\";\",\"++\",p(_[t]),\"){\")}function j(t){for(var e=0;e<T;++e)A.push(f(e),\"+=\",d(e,_[t]),\";\");A.push(\"}\")}function U(){for(var t=1;t<1<<k;++t)A.push(\"T\",\"=\",v(t),\";\",v(t),\"=\",g(t),\";\",g(t),\"=\",\"T\",\";\")}S.push(y(0)+\"=0\",\"T=0\"),function t(e,r){if(e<0)!function(t){for(var e=0;e<T;++e)w[e]?A.push(o(e,0),\"=\",a(e),\".get(\",f(e),\");\"):A.push(o(e,0),\"=\",a(e),\"[\",f(e),\"];\");var r=[];for(e=0;e<T;++e)r.push(o(e,0));for(e=0;e<b;++e)r.push(u(e));A.push(m(0),\"=\",\"P\",\"[\",\"X\",\"]=phase(\",r.join(),\");\");for(var n=1;n<1<<k;++n)A.push(m(n),\"=\",\"P\",\"[\",\"X\",\"+\",v(n),\"];\");var i=[];for(n=1;n<1<<k;++n)i.push(\"(\"+m(0)+\"!==\"+m(n)+\")\");A.push(\"if(\",i.join(\"||\"),\"){\");var s=[];for(e=0;e<k;++e)s.push(p(e));for(e=0;e<T;++e){s.push(o(e,0));for(n=1;n<1<<k;++n)w[e]?A.push(o(e,n),\"=\",a(e),\".get(\",f(e),\"+\",h(e,n),\");\"):A.push(o(e,n),\"=\",a(e),\"[\",f(e),\"+\",h(e,n),\"];\"),s.push(o(e,n))}for(e=0;e<1<<k;++e)s.push(m(e));for(e=0;e<b;++e)s.push(u(e));A.push(\"vertex(\",s.join(),\");\",y(0),\"=\",\"V\",\"[\",\"X\",\"]=\",\"N\",\"++;\");var l=(1<<k)-1,c=m(l);for(n=0;n<k;++n)if(0==(t&~(1<<n))){for(var d=l^1<<n,g=m(d),x=[],_=d;_>0;_=_-1&d)x.push(\"V[X+\"+v(_)+\"]\");x.push(y(0));for(_=0;_<T;++_)1&n?x.push(o(_,l),o(_,d)):x.push(o(_,d),o(_,l));1&n?x.push(c,g):x.push(g,c);for(_=0;_<b;++_)x.push(u(_));A.push(\"if(\",c,\"!==\",g,\"){\",\"face(\",x.join(),\")}\")}A.push(\"}\",\"X\",\"+=1;\")}(r);else{!function(t){for(var e=t-1;e>=0;--e)N(e,0);var r=[];for(e=0;e<T;++e)w[e]?r.push(a(e)+\".get(\"+f(e)+\")\"):r.push(a(e)+\"[\"+f(e)+\"]\");for(e=0;e<b;++e)r.push(u(e));for(A.push(\"P\",\"[\",\"X\",\"++]=phase(\",r.join(),\");\"),e=0;e<t;++e)j(e);for(var n=0;n<T;++n)A.push(f(n),\"+=\",d(n,_[t]),\";\")}(e),A.push(\"if(\",s(_[e]),\">0){\",p(_[e]),\"=1;\"),t(e-1,r|1<<_[e]);for(var n=0;n<T;++n)A.push(f(n),\"+=\",d(n,_[e]),\";\");e===k-1&&(A.push(\"X\",\"=0;\"),U()),N(e,2),t(e-1,r),e===k-1&&(A.push(\"if(\",p(_[k-1]),\"&1){\",\"X\",\"=0;}\"),U()),j(e),A.push(\"}\")}}(k-1,0),A.push(\"freeUint32(\",\"V\",\");freeUint32(\",\"P\",\");\");var V=[\"'use strict';\",\"function \",M,\"(\",E.join(),\"){\",\"var \",S.join(),\";\",A.join(\"\"),\"}\",\"return \",M].join(\"\");return new Function(\"vertex\",\"face\",\"phase\",\"mallocUint32\",\"freeUint32\",V)(t,e,r,n.mallocUint32,n.freeUint32)}(t.vertex,t.cell,t.phase,_,r,T)};function x(t,e,r){for(var n=0,i=0;i<t;++i)e&1<<i&&(n|=1<<r[i]);return n}},{\"typedarray-pool\":613}],472:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){if(Array.isArray(r)){if(r.length!==e.dimension)throw new Error(\"ndarray-gradient: invalid boundary conditions\")}else r=n(e.dimension,\"string\"==typeof r?r:\"clamp\");if(t.dimension!==e.dimension+1)throw new Error(\"ndarray-gradient: output dimension must be +1 input dimension\");if(t.shape[e.dimension]!==e.dimension)throw new Error(\"ndarray-gradient: output shape must match input shape\");for(var i=0;i<e.dimension;++i)if(t.shape[i]!==e.shape[i])throw new Error(\"ndarray-gradient: shape mismatch\");if(0===e.size)return t;if(e.dimension<=0)return t.set(0),t;return function(t){var e=t.join();if(v=o[e])return v;var r=t.length,n=[\"function gradient(dst,src){var s=src.shape.slice();\"];function i(e){for(var i=r-e.length,a=[],o=[],s=[],l=0;l<r;++l)e.indexOf(l+1)>=0?s.push(\"0\"):e.indexOf(-(l+1))>=0?s.push(\"s[\"+l+\"]-1\"):(s.push(\"-1\"),a.push(\"1\"),o.push(\"s[\"+l+\"]-2\"));var c=\".lo(\"+a.join()+\").hi(\"+o.join()+\")\";if(0===a.length&&(c=\"\"),i>0){n.push(\"if(1\");for(l=0;l<r;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||n.push(\"&&s[\",l,\"]>2\");n.push(\"){grad\",i,\"(src.pick(\",s.join(),\")\",c);for(l=0;l<r;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||n.push(\",dst.pick(\",s.join(),\",\",l,\")\",c);n.push(\");\")}for(l=0;l<e.length;++l){var u=Math.abs(e[l])-1,f=\"dst.pick(\"+s.join()+\",\"+u+\")\"+c;switch(t[u]){case\"clamp\":var h=s.slice(),p=s.slice();e[l]<0?h[u]=\"s[\"+u+\"]-2\":p[u]=\"1\",0===i?n.push(\"if(s[\",u,\"]>1){dst.set(\",s.join(),\",\",u,\",0.5*(src.get(\",h.join(),\")-src.get(\",p.join(),\")))}else{dst.set(\",s.join(),\",\",u,\",0)};\"):n.push(\"if(s[\",u,\"]>1){diff(\",f,\",src.pick(\",h.join(),\")\",c,\",src.pick(\",p.join(),\")\",c,\");}else{zero(\",f,\");};\");break;case\"mirror\":0===i?n.push(\"dst.set(\",s.join(),\",\",u,\",0);\"):n.push(\"zero(\",f,\");\");break;case\"wrap\":var d=s.slice(),m=s.slice();e[l]<0?(d[u]=\"s[\"+u+\"]-2\",m[u]=\"0\"):(d[u]=\"s[\"+u+\"]-1\",m[u]=\"1\"),0===i?n.push(\"if(s[\",u,\"]>2){dst.set(\",s.join(),\",\",u,\",0.5*(src.get(\",d.join(),\")-src.get(\",m.join(),\")))}else{dst.set(\",s.join(),\",\",u,\",0)};\"):n.push(\"if(s[\",u,\"]>2){diff(\",f,\",src.pick(\",d.join(),\")\",c,\",src.pick(\",m.join(),\")\",c,\");}else{zero(\",f,\");};\");break;default:throw new Error(\"ndarray-gradient: Invalid boundary condition\")}}i>0&&n.push(\"};\")}for(var s=0;s<1<<r;++s){for(var f=[],h=0;h<r;++h)s&1<<h&&f.push(h+1);for(var p=0;p<1<<f.length;++p){var d=f.slice();for(h=0;h<f.length;++h)p&1<<h&&(d[h]=-d[h]);i(d)}}n.push(\"return dst;};return gradient\");var m=[\"diff\",\"zero\"],g=[l,c];for(s=1;s<=r;++s)m.push(\"grad\"+s),g.push(u(s));m.push(n.join(\"\"));var v=Function.apply(void 0,m).apply(void 0,g);return a[e]=v,v}(r)(t,e)};var n=t(\"dup\"),i=t(\"cwise-compiler\"),a={},o={},s={body:\"\",args:[],thisVars:[],localVars:[]},l=i({args:[\"array\",\"array\",\"array\"],pre:s,post:s,body:{args:[{name:\"out\",lvalue:!0,rvalue:!1,count:1},{name:\"left\",lvalue:!1,rvalue:!0,count:1},{name:\"right\",lvalue:!1,rvalue:!0,count:1}],body:\"out=0.5*(left-right)\",thisVars:[],localVars:[]},funcName:\"cdiff\"}),c=i({args:[\"array\"],pre:s,post:s,body:{args:[{name:\"out\",lvalue:!0,rvalue:!1,count:1}],body:\"out=0\",thisVars:[],localVars:[]},funcName:\"zero\"});function u(t){if(t in a)return a[t];for(var e=[],r=0;r<t;++r)e.push(\"out\",r,\"s=0.5*(inp\",r,\"l-inp\",r,\"r);\");var o=[\"array\"],l=[\"junk\"];for(r=0;r<t;++r){o.push(\"array\"),l.push(\"out\"+r+\"s\");var c=n(t);c[r]=-1,o.push({array:0,offset:c.slice()}),c[r]=1,o.push({array:0,offset:c.slice()}),l.push(\"inp\"+r+\"l\",\"inp\"+r+\"r\")}return a[t]=i({args:o,pre:s,post:s,body:{body:e.join(\"\"),args:l.map((function(t){return{name:t,lvalue:0===t.indexOf(\"out\"),rvalue:0===t.indexOf(\"inp\"),count:\"junk\"!==t|0}})),thisVars:[],localVars:[]},funcName:\"fdTemplate\"+t})}},{\"cwise-compiler\":157,dup:181}],473:[function(t,e,r){\"use strict\";function n(t,e){var r=Math.floor(e),n=e-r,i=0<=r&&r<t.shape[0],a=0<=r+1&&r+1<t.shape[0];return(1-n)*(i?+t.get(r):0)+n*(a?+t.get(r+1):0)}function i(t,e,r){var n=Math.floor(e),i=e-n,a=0<=n&&n<t.shape[0],o=0<=n+1&&n+1<t.shape[0],s=Math.floor(r),l=r-s,c=0<=s&&s<t.shape[1],u=0<=s+1&&s+1<t.shape[1],f=a&&c?t.get(n,s):0,h=a&&u?t.get(n,s+1):0;return(1-l)*((1-i)*f+i*(o&&c?t.get(n+1,s):0))+l*((1-i)*h+i*(o&&u?t.get(n+1,s+1):0))}function a(t,e,r,n){var i=Math.floor(e),a=e-i,o=0<=i&&i<t.shape[0],s=0<=i+1&&i+1<t.shape[0],l=Math.floor(r),c=r-l,u=0<=l&&l<t.shape[1],f=0<=l+1&&l+1<t.shape[1],h=Math.floor(n),p=n-h,d=0<=h&&h<t.shape[2],m=0<=h+1&&h+1<t.shape[2],g=o&&u&&d?t.get(i,l,h):0,v=o&&f&&d?t.get(i,l+1,h):0,y=s&&u&&d?t.get(i+1,l,h):0,x=s&&f&&d?t.get(i+1,l+1,h):0,b=o&&u&&m?t.get(i,l,h+1):0,_=o&&f&&m?t.get(i,l+1,h+1):0;return(1-p)*((1-c)*((1-a)*g+a*y)+c*((1-a)*v+a*x))+p*((1-c)*((1-a)*b+a*(s&&u&&m?t.get(i+1,l,h+1):0))+c*((1-a)*_+a*(s&&f&&m?t.get(i+1,l+1,h+1):0)))}function o(t){var e,r,n=0|t.shape.length,i=new Array(n),a=new Array(n),o=new Array(n),s=new Array(n);for(e=0;e<n;++e)r=+arguments[e+1],i[e]=Math.floor(r),a[e]=r-i[e],o[e]=0<=i[e]&&i[e]<t.shape[e],s[e]=0<=i[e]+1&&i[e]+1<t.shape[e];var l,c,u,f=0;t:for(e=0;e<1<<n;++e){for(c=1,u=t.offset,l=0;l<n;++l)if(e&1<<l){if(!s[l])continue t;c*=a[l],u+=t.stride[l]*(i[l]+1)}else{if(!o[l])continue t;c*=1-a[l],u+=t.stride[l]*i[l]}f+=c*t.data[u]}return f}e.exports=function(t,e,r,s){switch(t.shape.length){case 0:return 0;case 1:return n(t,e);case 2:return i(t,e,r);case 3:return a(t,e,r,s);default:return o.apply(void 0,arguments)}},e.exports.d1=n,e.exports.d2=i,e.exports.d3=a},{}],474:[function(t,e,r){\"use strict\";var n=t(\"cwise-compiler\"),i={body:\"\",args:[],thisVars:[],localVars:[]};function a(t){if(!t)return i;for(var e=0;e<t.args.length;++e){var r=t.args[e];t.args[e]=0===e?{name:r,lvalue:!0,rvalue:!!t.rvalue,count:t.count||1}:{name:r,lvalue:!1,rvalue:!0,count:1}}return t.thisVars||(t.thisVars=[]),t.localVars||(t.localVars=[]),t}function o(t){for(var e=[],r=0;r<t.args.length;++r)e.push(\"a\"+r);return new Function(\"P\",[\"return function \",t.funcName,\"_ndarrayops(\",e.join(\",\"),\") {P(\",e.join(\",\"),\");return a0}\"].join(\"\"))(function(t){return n({args:t.args,pre:a(t.pre),body:a(t.body),post:a(t.proc),funcName:t.funcName})}(t))}var s={add:\"+\",sub:\"-\",mul:\"*\",div:\"/\",mod:\"%\",band:\"&\",bor:\"|\",bxor:\"^\",lshift:\"<<\",rshift:\">>\",rrshift:\">>>\"};!function(){for(var t in s){var e=s[t];r[t]=o({args:[\"array\",\"array\",\"array\"],body:{args:[\"a\",\"b\",\"c\"],body:\"a=b\"+e+\"c\"},funcName:t}),r[t+\"eq\"]=o({args:[\"array\",\"array\"],body:{args:[\"a\",\"b\"],body:\"a\"+e+\"=b\"},rvalue:!0,funcName:t+\"eq\"}),r[t+\"s\"]=o({args:[\"array\",\"array\",\"scalar\"],body:{args:[\"a\",\"b\",\"s\"],body:\"a=b\"+e+\"s\"},funcName:t+\"s\"}),r[t+\"seq\"]=o({args:[\"array\",\"scalar\"],body:{args:[\"a\",\"s\"],body:\"a\"+e+\"=s\"},rvalue:!0,funcName:t+\"seq\"})}}();var l={not:\"!\",bnot:\"~\",neg:\"-\",recip:\"1.0/\"};!function(){for(var t in l){var e=l[t];r[t]=o({args:[\"array\",\"array\"],body:{args:[\"a\",\"b\"],body:\"a=\"+e+\"b\"},funcName:t}),r[t+\"eq\"]=o({args:[\"array\"],body:{args:[\"a\"],body:\"a=\"+e+\"a\"},rvalue:!0,count:2,funcName:t+\"eq\"})}}();var c={and:\"&&\",or:\"||\",eq:\"===\",neq:\"!==\",lt:\"<\",gt:\">\",leq:\"<=\",geq:\">=\"};!function(){for(var t in c){var e=c[t];r[t]=o({args:[\"array\",\"array\",\"array\"],body:{args:[\"a\",\"b\",\"c\"],body:\"a=b\"+e+\"c\"},funcName:t}),r[t+\"s\"]=o({args:[\"array\",\"array\",\"scalar\"],body:{args:[\"a\",\"b\",\"s\"],body:\"a=b\"+e+\"s\"},funcName:t+\"s\"}),r[t+\"eq\"]=o({args:[\"array\",\"array\"],body:{args:[\"a\",\"b\"],body:\"a=a\"+e+\"b\"},rvalue:!0,count:2,funcName:t+\"eq\"}),r[t+\"seq\"]=o({args:[\"array\",\"scalar\"],body:{args:[\"a\",\"s\"],body:\"a=a\"+e+\"s\"},rvalue:!0,count:2,funcName:t+\"seq\"})}}();var u=[\"abs\",\"acos\",\"asin\",\"atan\",\"ceil\",\"cos\",\"exp\",\"floor\",\"log\",\"round\",\"sin\",\"sqrt\",\"tan\"];!function(){for(var t=0;t<u.length;++t){var e=u[t];r[e]=o({args:[\"array\",\"array\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\"],body:\"a=this_f(b)\",thisVars:[\"this_f\"]},funcName:e}),r[e+\"eq\"]=o({args:[\"array\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\"],body:\"a=this_f(a)\",thisVars:[\"this_f\"]},rvalue:!0,count:2,funcName:e+\"eq\"})}}();var f=[\"max\",\"min\",\"atan2\",\"pow\"];!function(){for(var t=0;t<f.length;++t){var e=f[t];r[e]=o({args:[\"array\",\"array\",\"array\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\",\"c\"],body:\"a=this_f(b,c)\",thisVars:[\"this_f\"]},funcName:e}),r[e+\"s\"]=o({args:[\"array\",\"array\",\"scalar\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\",\"c\"],body:\"a=this_f(b,c)\",thisVars:[\"this_f\"]},funcName:e+\"s\"}),r[e+\"eq\"]=o({args:[\"array\",\"array\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\"],body:\"a=this_f(a,b)\",thisVars:[\"this_f\"]},rvalue:!0,count:2,funcName:e+\"eq\"}),r[e+\"seq\"]=o({args:[\"array\",\"scalar\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\"],body:\"a=this_f(a,b)\",thisVars:[\"this_f\"]},rvalue:!0,count:2,funcName:e+\"seq\"})}}();var h=[\"atan2\",\"pow\"];!function(){for(var t=0;t<h.length;++t){var e=h[t];r[e+\"op\"]=o({args:[\"array\",\"array\",\"array\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\",\"c\"],body:\"a=this_f(c,b)\",thisVars:[\"this_f\"]},funcName:e+\"op\"}),r[e+\"ops\"]=o({args:[\"array\",\"array\",\"scalar\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\",\"c\"],body:\"a=this_f(c,b)\",thisVars:[\"this_f\"]},funcName:e+\"ops\"}),r[e+\"opeq\"]=o({args:[\"array\",\"array\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\"],body:\"a=this_f(b,a)\",thisVars:[\"this_f\"]},rvalue:!0,count:2,funcName:e+\"opeq\"}),r[e+\"opseq\"]=o({args:[\"array\",\"scalar\"],pre:{args:[],body:\"this_f=Math.\"+e,thisVars:[\"this_f\"]},body:{args:[\"a\",\"b\"],body:\"a=this_f(b,a)\",thisVars:[\"this_f\"]},rvalue:!0,count:2,funcName:e+\"opseq\"})}}(),r.any=n({args:[\"array\"],pre:i,body:{args:[{name:\"a\",lvalue:!1,rvalue:!0,count:1}],body:\"if(a){return true}\",localVars:[],thisVars:[]},post:{args:[],localVars:[],thisVars:[],body:\"return false\"},funcName:\"any\"}),r.all=n({args:[\"array\"],pre:i,body:{args:[{name:\"x\",lvalue:!1,rvalue:!0,count:1}],body:\"if(!x){return false}\",localVars:[],thisVars:[]},post:{args:[],localVars:[],thisVars:[],body:\"return true\"},funcName:\"all\"}),r.sum=n({args:[\"array\"],pre:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"this_s=0\"},body:{args:[{name:\"a\",lvalue:!1,rvalue:!0,count:1}],body:\"this_s+=a\",localVars:[],thisVars:[\"this_s\"]},post:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"return this_s\"},funcName:\"sum\"}),r.prod=n({args:[\"array\"],pre:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"this_s=1\"},body:{args:[{name:\"a\",lvalue:!1,rvalue:!0,count:1}],body:\"this_s*=a\",localVars:[],thisVars:[\"this_s\"]},post:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"return this_s\"},funcName:\"prod\"}),r.norm2squared=n({args:[\"array\"],pre:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"this_s=0\"},body:{args:[{name:\"a\",lvalue:!1,rvalue:!0,count:2}],body:\"this_s+=a*a\",localVars:[],thisVars:[\"this_s\"]},post:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"return this_s\"},funcName:\"norm2squared\"}),r.norm2=n({args:[\"array\"],pre:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"this_s=0\"},body:{args:[{name:\"a\",lvalue:!1,rvalue:!0,count:2}],body:\"this_s+=a*a\",localVars:[],thisVars:[\"this_s\"]},post:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"return Math.sqrt(this_s)\"},funcName:\"norm2\"}),r.norminf=n({args:[\"array\"],pre:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"this_s=0\"},body:{args:[{name:\"a\",lvalue:!1,rvalue:!0,count:4}],body:\"if(-a>this_s){this_s=-a}else if(a>this_s){this_s=a}\",localVars:[],thisVars:[\"this_s\"]},post:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"return this_s\"},funcName:\"norminf\"}),r.norm1=n({args:[\"array\"],pre:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"this_s=0\"},body:{args:[{name:\"a\",lvalue:!1,rvalue:!0,count:3}],body:\"this_s+=a<0?-a:a\",localVars:[],thisVars:[\"this_s\"]},post:{args:[],localVars:[],thisVars:[\"this_s\"],body:\"return this_s\"},funcName:\"norm1\"}),r.sup=n({args:[\"array\"],pre:{body:\"this_h=-Infinity\",args:[],thisVars:[\"this_h\"],localVars:[]},body:{body:\"if(_inline_1_arg0_>this_h)this_h=_inline_1_arg0_\",args:[{name:\"_inline_1_arg0_\",lvalue:!1,rvalue:!0,count:2}],thisVars:[\"this_h\"],localVars:[]},post:{body:\"return this_h\",args:[],thisVars:[\"this_h\"],localVars:[]}}),r.inf=n({args:[\"array\"],pre:{body:\"this_h=Infinity\",args:[],thisVars:[\"this_h\"],localVars:[]},body:{body:\"if(_inline_1_arg0_<this_h)this_h=_inline_1_arg0_\",args:[{name:\"_inline_1_arg0_\",lvalue:!1,rvalue:!0,count:2}],thisVars:[\"this_h\"],localVars:[]},post:{body:\"return this_h\",args:[],thisVars:[\"this_h\"],localVars:[]}}),r.argmin=n({args:[\"index\",\"array\",\"shape\"],pre:{body:\"{this_v=Infinity;this_i=_inline_0_arg2_.slice(0)}\",args:[{name:\"_inline_0_arg0_\",lvalue:!1,rvalue:!1,count:0},{name:\"_inline_0_arg1_\",lvalue:!1,rvalue:!1,count:0},{name:\"_inline_0_arg2_\",lvalue:!1,rvalue:!0,count:1}],thisVars:[\"this_i\",\"this_v\"],localVars:[]},body:{body:\"{if(_inline_1_arg1_<this_v){this_v=_inline_1_arg1_;for(var _inline_1_k=0;_inline_1_k<_inline_1_arg0_.length;++_inline_1_k){this_i[_inline_1_k]=_inline_1_arg0_[_inline_1_k]}}}\",args:[{name:\"_inline_1_arg0_\",lvalue:!1,rvalue:!0,count:2},{name:\"_inline_1_arg1_\",lvalue:!1,rvalue:!0,count:2}],thisVars:[\"this_i\",\"this_v\"],localVars:[\"_inline_1_k\"]},post:{body:\"{return this_i}\",args:[],thisVars:[\"this_i\"],localVars:[]}}),r.argmax=n({args:[\"index\",\"array\",\"shape\"],pre:{body:\"{this_v=-Infinity;this_i=_inline_0_arg2_.slice(0)}\",args:[{name:\"_inline_0_arg0_\",lvalue:!1,rvalue:!1,count:0},{name:\"_inline_0_arg1_\",lvalue:!1,rvalue:!1,count:0},{name:\"_inline_0_arg2_\",lvalue:!1,rvalue:!0,count:1}],thisVars:[\"this_i\",\"this_v\"],localVars:[]},body:{body:\"{if(_inline_1_arg1_>this_v){this_v=_inline_1_arg1_;for(var _inline_1_k=0;_inline_1_k<_inline_1_arg0_.length;++_inline_1_k){this_i[_inline_1_k]=_inline_1_arg0_[_inline_1_k]}}}\",args:[{name:\"_inline_1_arg0_\",lvalue:!1,rvalue:!0,count:2},{name:\"_inline_1_arg1_\",lvalue:!1,rvalue:!0,count:2}],thisVars:[\"this_i\",\"this_v\"],localVars:[\"_inline_1_k\"]},post:{body:\"{return this_i}\",args:[],thisVars:[\"this_i\"],localVars:[]}}),r.random=o({args:[\"array\"],pre:{args:[],body:\"this_f=Math.random\",thisVars:[\"this_f\"]},body:{args:[\"a\"],body:\"a=this_f()\",thisVars:[\"this_f\"]},funcName:\"random\"}),r.assign=o({args:[\"array\",\"array\"],body:{args:[\"a\",\"b\"],body:\"a=b\"},funcName:\"assign\"}),r.assigns=o({args:[\"array\",\"scalar\"],body:{args:[\"a\",\"b\"],body:\"a=b\"},funcName:\"assigns\"}),r.equals=n({args:[\"array\",\"array\"],pre:i,body:{args:[{name:\"x\",lvalue:!1,rvalue:!0,count:1},{name:\"y\",lvalue:!1,rvalue:!0,count:1}],body:\"if(x!==y){return false}\",localVars:[],thisVars:[]},post:{args:[],localVars:[],thisVars:[],body:\"return true\"},funcName:\"equals\"})},{\"cwise-compiler\":157}],475:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"./doConvert.js\");e.exports=function(t,e){for(var r=[],a=t,o=1;Array.isArray(a);)r.push(a.length),o*=a.length,a=a[0];return 0===r.length?n():(e||(e=n(new Float64Array(o),r)),i(e,t),e)}},{\"./doConvert.js\":476,ndarray:479}],476:[function(t,e,r){e.exports=t(\"cwise-compiler\")({args:[\"array\",\"scalar\",\"index\"],pre:{body:\"{}\",args:[],thisVars:[],localVars:[]},body:{body:\"{\\nvar _inline_1_v=_inline_1_arg1_,_inline_1_i\\nfor(_inline_1_i=0;_inline_1_i<_inline_1_arg2_.length-1;++_inline_1_i) {\\n_inline_1_v=_inline_1_v[_inline_1_arg2_[_inline_1_i]]\\n}\\n_inline_1_arg0_=_inline_1_v[_inline_1_arg2_[_inline_1_arg2_.length-1]]\\n}\",args:[{name:\"_inline_1_arg0_\",lvalue:!0,rvalue:!1,count:1},{name:\"_inline_1_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_1_arg2_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[],localVars:[\"_inline_1_i\",\"_inline_1_v\"]},post:{body:\"{}\",args:[],thisVars:[],localVars:[]},funcName:\"convert\",blockSize:64})},{\"cwise-compiler\":157}],477:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=32;function a(t){switch(t){case\"uint8\":return[n.mallocUint8,n.freeUint8];case\"uint16\":return[n.mallocUint16,n.freeUint16];case\"uint32\":return[n.mallocUint32,n.freeUint32];case\"int8\":return[n.mallocInt8,n.freeInt8];case\"int16\":return[n.mallocInt16,n.freeInt16];case\"int32\":return[n.mallocInt32,n.freeInt32];case\"float32\":return[n.mallocFloat,n.freeFloat];case\"float64\":return[n.mallocDouble,n.freeDouble];default:return null}}function o(t){for(var e=[],r=0;r<t;++r)e.push(\"s\"+r);for(r=0;r<t;++r)e.push(\"n\"+r);for(r=1;r<t;++r)e.push(\"d\"+r);for(r=1;r<t;++r)e.push(\"e\"+r);for(r=1;r<t;++r)e.push(\"f\"+r);return e}e.exports=function(t,e){var r=[\"'use strict'\"],n=[\"ndarraySortWrapper\",t.join(\"d\"),e].join(\"\");r.push([\"function \",n,\"(\",[\"array\"].join(\",\"),\"){\"].join(\"\"));for(var s=[\"data=array.data,offset=array.offset|0,shape=array.shape,stride=array.stride\"],l=0;l<t.length;++l)s.push([\"s\",l,\"=stride[\",l,\"]|0,n\",l,\"=shape[\",l,\"]|0\"].join(\"\"));var c=new Array(t.length),u=[];for(l=0;l<t.length;++l){0!==(p=t[l])&&(0===u.length?c[p]=\"1\":c[p]=u.join(\"*\"),u.push(\"n\"+p))}var f=-1,h=-1;for(l=0;l<t.length;++l){var p,d=t[l];0!==d&&(f>0?s.push([\"d\",d,\"=s\",d,\"-d\",f,\"*n\",f].join(\"\")):s.push([\"d\",d,\"=s\",d].join(\"\")),f=d),0!==(p=t.length-1-l)&&(h>0?s.push([\"e\",p,\"=s\",p,\"-e\",h,\"*n\",h,\",f\",p,\"=\",c[p],\"-f\",h,\"*n\",h].join(\"\")):s.push([\"e\",p,\"=s\",p,\",f\",p,\"=\",c[p]].join(\"\")),h=p)}r.push(\"var \"+s.join(\",\"));var m=[\"0\",\"n0-1\",\"data\",\"offset\"].concat(o(t.length));r.push([\"if(n0<=\",i,\"){\",\"insertionSort(\",m.join(\",\"),\")}else{\",\"quickSort(\",m.join(\",\"),\")}\"].join(\"\")),r.push(\"}return \"+n);var g=new Function(\"insertionSort\",\"quickSort\",r.join(\"\\n\")),v=function(t,e){var r=[\"'use strict'\"],n=[\"ndarrayInsertionSort\",t.join(\"d\"),e].join(\"\"),i=[\"left\",\"right\",\"data\",\"offset\"].concat(o(t.length)),s=a(e),l=[\"i,j,cptr,ptr=left*s0+offset\"];if(t.length>1){for(var c=[],u=1;u<t.length;++u)l.push(\"i\"+u),c.push(\"n\"+u);s?l.push(\"scratch=malloc(\"+c.join(\"*\")+\")\"):l.push(\"scratch=new Array(\"+c.join(\"*\")+\")\"),l.push(\"dptr\",\"sptr\",\"a\",\"b\")}else l.push(\"scratch\");function f(t){return\"generic\"===e?[\"data.get(\",t,\")\"].join(\"\"):[\"data[\",t,\"]\"].join(\"\")}function h(t,r){return\"generic\"===e?[\"data.set(\",t,\",\",r,\")\"].join(\"\"):[\"data[\",t,\"]=\",r].join(\"\")}if(r.push([\"function \",n,\"(\",i.join(\",\"),\"){var \",l.join(\",\")].join(\"\"),\"for(i=left+1;i<=right;++i){\",\"j=i;ptr+=s0\",\"cptr=ptr\"),t.length>1){r.push(\"dptr=0;sptr=ptr\");for(u=t.length-1;u>=0;--u){0!==(p=t[u])&&r.push([\"for(i\",p,\"=0;i\",p,\"<n\",p,\";++i\",p,\"){\"].join(\"\"))}r.push(\"scratch[dptr++]=\",f(\"sptr\"));for(u=0;u<t.length;++u){0!==(p=t[u])&&r.push(\"sptr+=d\"+p,\"}\")}r.push(\"__g:while(j--\\x3eleft){\",\"dptr=0\",\"sptr=cptr-s0\");for(u=1;u<t.length;++u)1===u&&r.push(\"__l:\"),r.push([\"for(i\",u,\"=0;i\",u,\"<n\",u,\";++i\",u,\"){\"].join(\"\"));r.push([\"a=\",f(\"sptr\"),\"\\nb=scratch[dptr]\\nif(a<b){break __g}\\nif(a>b){break __l}\"].join(\"\"));for(u=t.length-1;u>=1;--u)r.push(\"sptr+=e\"+u,\"dptr+=f\"+u,\"}\");r.push(\"dptr=cptr;sptr=cptr-s0\");for(u=t.length-1;u>=0;--u){0!==(p=t[u])&&r.push([\"for(i\",p,\"=0;i\",p,\"<n\",p,\";++i\",p,\"){\"].join(\"\"))}r.push(h(\"dptr\",f(\"sptr\")));for(u=0;u<t.length;++u){0!==(p=t[u])&&r.push([\"dptr+=d\",p,\";sptr+=d\",p].join(\"\"),\"}\")}r.push(\"cptr-=s0\\n}\"),r.push(\"dptr=cptr;sptr=0\");for(u=t.length-1;u>=0;--u){0!==(p=t[u])&&r.push([\"for(i\",p,\"=0;i\",p,\"<n\",p,\";++i\",p,\"){\"].join(\"\"))}r.push(h(\"dptr\",\"scratch[sptr++]\"));for(u=0;u<t.length;++u){var p;0!==(p=t[u])&&r.push(\"dptr+=d\"+p,\"}\")}}else r.push(\"scratch=\"+f(\"ptr\"),\"while((j--\\x3eleft)&&(\"+f(\"cptr-s0\")+\">scratch)){\",h(\"cptr\",f(\"cptr-s0\")),\"cptr-=s0\",\"}\",h(\"cptr\",\"scratch\"));return r.push(\"}\"),t.length>1&&s&&r.push(\"free(scratch)\"),r.push(\"} return \"+n),s?new Function(\"malloc\",\"free\",r.join(\"\\n\"))(s[0],s[1]):new Function(r.join(\"\\n\"))()}(t,e),y=function(t,e,r){var n=[\"'use strict'\"],s=[\"ndarrayQuickSort\",t.join(\"d\"),e].join(\"\"),l=[\"left\",\"right\",\"data\",\"offset\"].concat(o(t.length)),c=a(e),u=0;n.push([\"function \",s,\"(\",l.join(\",\"),\"){\"].join(\"\"));var f=[\"sixth=((right-left+1)/6)|0\",\"index1=left+sixth\",\"index5=right-sixth\",\"index3=(left+right)>>1\",\"index2=index3-sixth\",\"index4=index3+sixth\",\"el1=index1\",\"el2=index2\",\"el3=index3\",\"el4=index4\",\"el5=index5\",\"less=left+1\",\"great=right-1\",\"pivots_are_equal=true\",\"tmp\",\"tmp0\",\"x\",\"y\",\"z\",\"k\",\"ptr0\",\"ptr1\",\"ptr2\",\"comp_pivot1=0\",\"comp_pivot2=0\",\"comp=0\"];if(t.length>1){for(var h=[],p=1;p<t.length;++p)h.push(\"n\"+p),f.push(\"i\"+p);for(p=0;p<8;++p)f.push(\"b_ptr\"+p);f.push(\"ptr3\",\"ptr4\",\"ptr5\",\"ptr6\",\"ptr7\",\"pivot_ptr\",\"ptr_shift\",\"elementSize=\"+h.join(\"*\")),c?f.push(\"pivot1=malloc(elementSize)\",\"pivot2=malloc(elementSize)\"):f.push(\"pivot1=new Array(elementSize),pivot2=new Array(elementSize)\")}else f.push(\"pivot1\",\"pivot2\");function d(t){return[\"(offset+\",t,\"*s0)\"].join(\"\")}function m(t){return\"generic\"===e?[\"data.get(\",t,\")\"].join(\"\"):[\"data[\",t,\"]\"].join(\"\")}function g(t,r){return\"generic\"===e?[\"data.set(\",t,\",\",r,\")\"].join(\"\"):[\"data[\",t,\"]=\",r].join(\"\")}function v(e,r,i){if(1===e.length)n.push(\"ptr0=\"+d(e[0]));else for(var a=0;a<e.length;++a)n.push([\"b_ptr\",a,\"=s0*\",e[a]].join(\"\"));r&&n.push(\"pivot_ptr=0\"),n.push(\"ptr_shift=offset\");for(a=t.length-1;a>=0;--a){0!==(o=t[a])&&n.push([\"for(i\",o,\"=0;i\",o,\"<n\",o,\";++i\",o,\"){\"].join(\"\"))}if(e.length>1)for(a=0;a<e.length;++a)n.push([\"ptr\",a,\"=b_ptr\",a,\"+ptr_shift\"].join(\"\"));n.push(i),r&&n.push(\"++pivot_ptr\");for(a=0;a<t.length;++a){var o;0!==(o=t[a])&&(e.length>1?n.push(\"ptr_shift+=d\"+o):n.push(\"ptr0+=d\"+o),n.push(\"}\"))}}function y(e,r,i,a){if(1===r.length)n.push(\"ptr0=\"+d(r[0]));else{for(var o=0;o<r.length;++o)n.push([\"b_ptr\",o,\"=s0*\",r[o]].join(\"\"));n.push(\"ptr_shift=offset\")}i&&n.push(\"pivot_ptr=0\"),e&&n.push(e+\":\");for(o=1;o<t.length;++o)n.push([\"for(i\",o,\"=0;i\",o,\"<n\",o,\";++i\",o,\"){\"].join(\"\"));if(r.length>1)for(o=0;o<r.length;++o)n.push([\"ptr\",o,\"=b_ptr\",o,\"+ptr_shift\"].join(\"\"));n.push(a);for(o=t.length-1;o>=1;--o)i&&n.push(\"pivot_ptr+=f\"+o),r.length>1?n.push(\"ptr_shift+=e\"+o):n.push(\"ptr0+=e\"+o),n.push(\"}\")}function x(){t.length>1&&c&&n.push(\"free(pivot1)\",\"free(pivot2)\")}function b(e,r){var i=\"el\"+e,a=\"el\"+r;if(t.length>1){var o=\"__l\"+ ++u;y(o,[i,a],!1,[\"comp=\",m(\"ptr0\"),\"-\",m(\"ptr1\"),\"\\n\",\"if(comp>0){tmp0=\",i,\";\",i,\"=\",a,\";\",a,\"=tmp0;break \",o,\"}\\n\",\"if(comp<0){break \",o,\"}\"].join(\"\"))}else n.push([\"if(\",m(d(i)),\">\",m(d(a)),\"){tmp0=\",i,\";\",i,\"=\",a,\";\",a,\"=tmp0}\"].join(\"\"))}function _(e,r){t.length>1?v([e,r],!1,g(\"ptr0\",m(\"ptr1\"))):n.push(g(d(e),m(d(r))))}function w(e,r,i){if(t.length>1){var a=\"__l\"+ ++u;y(a,[r],!0,[e,\"=\",m(\"ptr0\"),\"-pivot\",i,\"[pivot_ptr]\\n\",\"if(\",e,\"!==0){break \",a,\"}\"].join(\"\"))}else n.push([e,\"=\",m(d(r)),\"-pivot\",i].join(\"\"))}function T(e,r){t.length>1?v([e,r],!1,[\"tmp=\",m(\"ptr0\"),\"\\n\",g(\"ptr0\",m(\"ptr1\")),\"\\n\",g(\"ptr1\",\"tmp\")].join(\"\")):n.push([\"ptr0=\",d(e),\"\\n\",\"ptr1=\",d(r),\"\\n\",\"tmp=\",m(\"ptr0\"),\"\\n\",g(\"ptr0\",m(\"ptr1\")),\"\\n\",g(\"ptr1\",\"tmp\")].join(\"\"))}function k(e,r,i){t.length>1?(v([e,r,i],!1,[\"tmp=\",m(\"ptr0\"),\"\\n\",g(\"ptr0\",m(\"ptr1\")),\"\\n\",g(\"ptr1\",m(\"ptr2\")),\"\\n\",g(\"ptr2\",\"tmp\")].join(\"\")),n.push(\"++\"+r,\"--\"+i)):n.push([\"ptr0=\",d(e),\"\\n\",\"ptr1=\",d(r),\"\\n\",\"ptr2=\",d(i),\"\\n\",\"++\",r,\"\\n\",\"--\",i,\"\\n\",\"tmp=\",m(\"ptr0\"),\"\\n\",g(\"ptr0\",m(\"ptr1\")),\"\\n\",g(\"ptr1\",m(\"ptr2\")),\"\\n\",g(\"ptr2\",\"tmp\")].join(\"\"))}function M(t,e){T(t,e),n.push(\"--\"+e)}function A(e,r,i){t.length>1?v([e,r],!0,[g(\"ptr0\",m(\"ptr1\")),\"\\n\",g(\"ptr1\",[\"pivot\",i,\"[pivot_ptr]\"].join(\"\"))].join(\"\")):n.push(g(d(e),m(d(r))),g(d(r),\"pivot\"+i))}function S(e,r){n.push([\"if((\",r,\"-\",e,\")<=\",i,\"){\\n\",\"insertionSort(\",e,\",\",r,\",data,offset,\",o(t.length).join(\",\"),\")\\n\",\"}else{\\n\",s,\"(\",e,\",\",r,\",data,offset,\",o(t.length).join(\",\"),\")\\n\",\"}\"].join(\"\"))}function E(e,r,i){t.length>1?(n.push([\"__l\",++u,\":while(true){\"].join(\"\")),v([e],!0,[\"if(\",m(\"ptr0\"),\"!==pivot\",r,\"[pivot_ptr]){break __l\",u,\"}\"].join(\"\")),n.push(i,\"}\")):n.push([\"while(\",m(d(e)),\"===pivot\",r,\"){\",i,\"}\"].join(\"\"))}return n.push(\"var \"+f.join(\",\")),b(1,2),b(4,5),b(1,3),b(2,3),b(1,4),b(3,4),b(2,5),b(2,3),b(4,5),t.length>1?v([\"el1\",\"el2\",\"el3\",\"el4\",\"el5\",\"index1\",\"index3\",\"index5\"],!0,[\"pivot1[pivot_ptr]=\",m(\"ptr1\"),\"\\n\",\"pivot2[pivot_ptr]=\",m(\"ptr3\"),\"\\n\",\"pivots_are_equal=pivots_are_equal&&(pivot1[pivot_ptr]===pivot2[pivot_ptr])\\n\",\"x=\",m(\"ptr0\"),\"\\n\",\"y=\",m(\"ptr2\"),\"\\n\",\"z=\",m(\"ptr4\"),\"\\n\",g(\"ptr5\",\"x\"),\"\\n\",g(\"ptr6\",\"y\"),\"\\n\",g(\"ptr7\",\"z\")].join(\"\")):n.push([\"pivot1=\",m(d(\"el2\")),\"\\n\",\"pivot2=\",m(d(\"el4\")),\"\\n\",\"pivots_are_equal=pivot1===pivot2\\n\",\"x=\",m(d(\"el1\")),\"\\n\",\"y=\",m(d(\"el3\")),\"\\n\",\"z=\",m(d(\"el5\")),\"\\n\",g(d(\"index1\"),\"x\"),\"\\n\",g(d(\"index3\"),\"y\"),\"\\n\",g(d(\"index5\"),\"z\")].join(\"\")),_(\"index2\",\"left\"),_(\"index4\",\"right\"),n.push(\"if(pivots_are_equal){\"),n.push(\"for(k=less;k<=great;++k){\"),w(\"comp\",\"k\",1),n.push(\"if(comp===0){continue}\"),n.push(\"if(comp<0){\"),n.push(\"if(k!==less){\"),T(\"k\",\"less\"),n.push(\"}\"),n.push(\"++less\"),n.push(\"}else{\"),n.push(\"while(true){\"),w(\"comp\",\"great\",1),n.push(\"if(comp>0){\"),n.push(\"great--\"),n.push(\"}else if(comp<0){\"),k(\"k\",\"less\",\"great\"),n.push(\"break\"),n.push(\"}else{\"),M(\"k\",\"great\"),n.push(\"break\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}else{\"),n.push(\"for(k=less;k<=great;++k){\"),w(\"comp_pivot1\",\"k\",1),n.push(\"if(comp_pivot1<0){\"),n.push(\"if(k!==less){\"),T(\"k\",\"less\"),n.push(\"}\"),n.push(\"++less\"),n.push(\"}else{\"),w(\"comp_pivot2\",\"k\",2),n.push(\"if(comp_pivot2>0){\"),n.push(\"while(true){\"),w(\"comp\",\"great\",2),n.push(\"if(comp>0){\"),n.push(\"if(--great<k){break}\"),n.push(\"continue\"),n.push(\"}else{\"),w(\"comp\",\"great\",1),n.push(\"if(comp<0){\"),k(\"k\",\"less\",\"great\"),n.push(\"}else{\"),M(\"k\",\"great\"),n.push(\"}\"),n.push(\"break\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),A(\"left\",\"(less-1)\",1),A(\"right\",\"(great+1)\",2),S(\"left\",\"(less-2)\"),S(\"(great+2)\",\"right\"),n.push(\"if(pivots_are_equal){\"),x(),n.push(\"return\"),n.push(\"}\"),n.push(\"if(less<index1&&great>index5){\"),E(\"less\",1,\"++less\"),E(\"great\",2,\"--great\"),n.push(\"for(k=less;k<=great;++k){\"),w(\"comp_pivot1\",\"k\",1),n.push(\"if(comp_pivot1===0){\"),n.push(\"if(k!==less){\"),T(\"k\",\"less\"),n.push(\"}\"),n.push(\"++less\"),n.push(\"}else{\"),w(\"comp_pivot2\",\"k\",2),n.push(\"if(comp_pivot2===0){\"),n.push(\"while(true){\"),w(\"comp\",\"great\",2),n.push(\"if(comp===0){\"),n.push(\"if(--great<k){break}\"),n.push(\"continue\"),n.push(\"}else{\"),w(\"comp\",\"great\",1),n.push(\"if(comp<0){\"),k(\"k\",\"less\",\"great\"),n.push(\"}else{\"),M(\"k\",\"great\"),n.push(\"}\"),n.push(\"break\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),n.push(\"}\"),x(),S(\"less\",\"great\"),n.push(\"}return \"+s),t.length>1&&c?new Function(\"insertionSort\",\"malloc\",\"free\",n.join(\"\\n\"))(r,c[0],c[1]):new Function(\"insertionSort\",n.join(\"\\n\"))(r)}(t,e,v);return g(v,y)}},{\"typedarray-pool\":613}],478:[function(t,e,r){\"use strict\";var n=t(\"./lib/compile_sort.js\"),i={};e.exports=function(t){var e=t.order,r=t.dtype,a=[e,r].join(\":\"),o=i[a];return o||(i[a]=o=n(e,r)),o(t),t}},{\"./lib/compile_sort.js\":477}],479:[function(t,e,r){var n=t(\"iota-array\"),i=t(\"is-buffer\"),a=\"undefined\"!=typeof Float64Array;function o(t,e){return t[0]-e[0]}function s(){var t,e=this.stride,r=new Array(e.length);for(t=0;t<r.length;++t)r[t]=[Math.abs(e[t]),t];r.sort(o);var n=new Array(r.length);for(t=0;t<n.length;++t)n[t]=r[t][1];return n}function l(t,e){var r=[\"View\",e,\"d\",t].join(\"\");e<0&&(r=\"View_Nil\"+t);var i=\"generic\"===t;if(-1===e){var a=\"function \"+r+\"(a){this.data=a;};var proto=\"+r+\".prototype;proto.dtype='\"+t+\"';proto.index=function(){return -1};proto.size=0;proto.dimension=-1;proto.shape=proto.stride=proto.order=[];proto.lo=proto.hi=proto.transpose=proto.step=function(){return new \"+r+\"(this.data);};proto.get=proto.set=function(){};proto.pick=function(){return null};return function construct_\"+r+\"(a){return new \"+r+\"(a);}\";return new Function(a)()}if(0===e){a=\"function \"+r+\"(a,d) {this.data = a;this.offset = d};var proto=\"+r+\".prototype;proto.dtype='\"+t+\"';proto.index=function(){return this.offset};proto.dimension=0;proto.size=1;proto.shape=proto.stride=proto.order=[];proto.lo=proto.hi=proto.transpose=proto.step=function \"+r+\"_copy() {return new \"+r+\"(this.data,this.offset)};proto.pick=function \"+r+\"_pick(){return TrivialArray(this.data);};proto.valueOf=proto.get=function \"+r+\"_get(){return \"+(i?\"this.data.get(this.offset)\":\"this.data[this.offset]\")+\"};proto.set=function \"+r+\"_set(v){return \"+(i?\"this.data.set(this.offset,v)\":\"this.data[this.offset]=v\")+\"};return function construct_\"+r+\"(a,b,c,d){return new \"+r+\"(a,d)}\";return new Function(\"TrivialArray\",a)(c[t][0])}a=[\"'use strict'\"];var o=n(e),l=o.map((function(t){return\"i\"+t})),u=\"this.offset+\"+o.map((function(t){return\"this.stride[\"+t+\"]*i\"+t})).join(\"+\"),f=o.map((function(t){return\"b\"+t})).join(\",\"),h=o.map((function(t){return\"c\"+t})).join(\",\");a.push(\"function \"+r+\"(a,\"+f+\",\"+h+\",d){this.data=a\",\"this.shape=[\"+f+\"]\",\"this.stride=[\"+h+\"]\",\"this.offset=d|0}\",\"var proto=\"+r+\".prototype\",\"proto.dtype='\"+t+\"'\",\"proto.dimension=\"+e),a.push(\"Object.defineProperty(proto,'size',{get:function \"+r+\"_size(){return \"+o.map((function(t){return\"this.shape[\"+t+\"]\"})).join(\"*\"),\"}})\"),1===e?a.push(\"proto.order=[0]\"):(a.push(\"Object.defineProperty(proto,'order',{get:\"),e<4?(a.push(\"function \"+r+\"_order(){\"),2===e?a.push(\"return (Math.abs(this.stride[0])>Math.abs(this.stride[1]))?[1,0]:[0,1]}})\"):3===e&&a.push(\"var s0=Math.abs(this.stride[0]),s1=Math.abs(this.stride[1]),s2=Math.abs(this.stride[2]);if(s0>s1){if(s1>s2){return [2,1,0];}else if(s0>s2){return [1,2,0];}else{return [1,0,2];}}else if(s0>s2){return [2,0,1];}else if(s2>s1){return [0,1,2];}else{return [0,2,1];}}})\")):a.push(\"ORDER})\")),a.push(\"proto.set=function \"+r+\"_set(\"+l.join(\",\")+\",v){\"),i?a.push(\"return this.data.set(\"+u+\",v)}\"):a.push(\"return this.data[\"+u+\"]=v}\"),a.push(\"proto.get=function \"+r+\"_get(\"+l.join(\",\")+\"){\"),i?a.push(\"return this.data.get(\"+u+\")}\"):a.push(\"return this.data[\"+u+\"]}\"),a.push(\"proto.index=function \"+r+\"_index(\",l.join(),\"){return \"+u+\"}\"),a.push(\"proto.hi=function \"+r+\"_hi(\"+l.join(\",\")+\"){return new \"+r+\"(this.data,\"+o.map((function(t){return[\"(typeof i\",t,\"!=='number'||i\",t,\"<0)?this.shape[\",t,\"]:i\",t,\"|0\"].join(\"\")})).join(\",\")+\",\"+o.map((function(t){return\"this.stride[\"+t+\"]\"})).join(\",\")+\",this.offset)}\");var p=o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})),d=o.map((function(t){return\"c\"+t+\"=this.stride[\"+t+\"]\"}));a.push(\"proto.lo=function \"+r+\"_lo(\"+l.join(\",\")+\"){var b=this.offset,d=0,\"+p.join(\",\")+\",\"+d.join(\",\"));for(var m=0;m<e;++m)a.push(\"if(typeof i\"+m+\"==='number'&&i\"+m+\">=0){d=i\"+m+\"|0;b+=c\"+m+\"*d;a\"+m+\"-=d}\");a.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"c\"+t})).join(\",\")+\",b)}\"),a.push(\"proto.step=function \"+r+\"_step(\"+l.join(\",\")+\"){var \"+o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t+\"=this.stride[\"+t+\"]\"})).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\");for(m=0;m<e;++m)a.push(\"if(typeof i\"+m+\"==='number'){d=i\"+m+\"|0;if(d<0){c+=b\"+m+\"*(a\"+m+\"-1);a\"+m+\"=ceil(-a\"+m+\"/d)}else{a\"+m+\"=ceil(a\"+m+\"/d)}b\"+m+\"*=d}\");a.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t})).join(\",\")+\",c)}\");var g=new Array(e),v=new Array(e);for(m=0;m<e;++m)g[m]=\"a[i\"+m+\"]\",v[m]=\"b[i\"+m+\"]\";a.push(\"proto.transpose=function \"+r+\"_transpose(\"+l+\"){\"+l.map((function(t,e){return t+\"=(\"+t+\"===undefined?\"+e+\":\"+t+\"|0)\"})).join(\";\"),\"var a=this.shape,b=this.stride;return new \"+r+\"(this.data,\"+g.join(\",\")+\",\"+v.join(\",\")+\",this.offset)}\"),a.push(\"proto.pick=function \"+r+\"_pick(\"+l+\"){var a=[],b=[],c=this.offset\");for(m=0;m<e;++m)a.push(\"if(typeof i\"+m+\"==='number'&&i\"+m+\">=0){c=(c+this.stride[\"+m+\"]*i\"+m+\")|0}else{a.push(this.shape[\"+m+\"]);b.push(this.stride[\"+m+\"])}\");return a.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\"),a.push(\"return function construct_\"+r+\"(data,shape,stride,offset){return new \"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",a.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var f=function(t){if(i(t))return\"buffer\";if(a)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),h=c[f];h.length<=o+1;)h.push(l(f,h.length-1));return(0,h[o+1])(t,e,r,n)}},{\"iota-array\":447,\"is-buffer\":449}],480:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),i=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-i:i;var r=n.hi(t),a=n.lo(t);e>t==t>0?a===-1>>>0?(r+=1,a=0):a+=1:0===a?(a=-1>>>0,r-=1):a-=1;return n.pack(a,r)}},{\"double-bits\":178}],481:[function(t,e,r){var n=Math.PI,i=c(120);function a(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,i,a){return[\"C\",t/3+2/3*r,e/3+2/3*n,i/3+2/3*r,a/3+2/3*n,i,a]}function s(t,e,r,a,o,c,u,f,h,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var m=(t-(f=(d=l(f,h,-o)).x))/2,g=(e-(h=d.y))/2,v=m*m/(r*r)+g*g/(a*a);v>1&&(r*=v=Math.sqrt(v),a*=v);var y=r*r,x=a*a,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*g*g-x*m*m)/(y*g*g+x*m*m)));b==1/0&&(b=1);var _=b*r*g/a+(t+f)/2,w=b*-a*m/r+(e+h)/2,T=Math.asin(((e-w)/a).toFixed(9)),k=Math.asin(((h-w)/a).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=f<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>i){var M=k,A=f,S=h;k=T+i*(u&&k>T?1:-1);var E=s(f=_+r*Math.cos(k),h=w+a*Math.sin(k),r,a,o,0,u,A,S,[k,M,_,w])}var L=Math.tan((k-T)/4),C=4/3*r*L,P=4/3*a*L,I=[2*t-(t+C*Math.sin(T)),2*e-(e-P*Math.cos(T)),f+C*Math.sin(k),h-P*Math.cos(k),f,h];if(p)return I;E&&(I=I.concat(E));for(var O=0;O<I.length;){var z=l(I[O],I[O+1],o);I[O++]=z.x,I[O++]=z.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,i=0,l=0,u=0,f=null,h=null,p=0,d=0,m=0,g=t.length;m<g;m++){var v=t[m],y=v[0];switch(y){case\"M\":l=v[1],u=v[2];break;case\"A\":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift(\"C\"),v.length>7&&(r.push(v.splice(0,7)),v.unshift(\"C\"));break;case\"S\":var x=p,b=d;\"C\"!=e&&\"S\"!=e||(x+=x-n,b+=b-i),v=[\"C\",x,b,v[1],v[2],v[3],v[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(f=2*p-f,h=2*d-h):(f=p,h=d),v=o(p,d,f,h,v[1],v[2]);break;case\"Q\":f=v[1],h=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case\"L\":v=a(p,d,v[1],v[2]);break;case\"H\":v=a(p,d,v[1],d);break;case\"V\":v=a(p,d,p,v[1]);break;case\"Z\":v=a(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],i=v[v.length-3]):(n=p,i=d),r.push(v)}return r}},{}],482:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;o<n;++o)i[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],f=0;f<s.length;++f){l=c,c=u,u=s[(f+1)%s.length];for(var h=e[l],p=e[c],d=e[u],m=new Array(3),g=0,v=new Array(3),y=0,x=0;x<3;++x)m[x]=h[x]-p[x],g+=m[x]*m[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(g*y>a){var b=i[c],_=1/Math.sqrt(g*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*m[T]-v[T]*m[w])}}}for(o=0;o<n;++o){b=i[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>a)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return i},r.faceNormals=function(t,e,r){for(var n=t.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),f=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],f[c]=l[2][c]-l[0][c];var h=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,m=(c+2)%3;h[c]=u[d]*f[m]-u[m]*f[d],p+=h[c]*h[c]}p=p>a?1/Math.sqrt(p):0;for(c=0;c<3;++c)h[c]*=p;i[o]=h}return i}},{}],483:[function(t,e,r){\n",
       "/*\n",
       "object-assign\n",
       "(c) Sindre Sorhus\n",
       "@license MIT\n",
       "*/\n",
       "\"use strict\";var n=Object.getOwnPropertySymbols,i=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))i.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var f=0;f<s.length;f++)a.call(r,s[f])&&(l[s[f]]=r[s[f]])}}return l}},{}],484:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i,a,o,s,l,c){var u=e+a+c;if(f>0){var f=Math.sqrt(u+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,c);f=Math.sqrt(2*h-u+1);e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},{}],485:[function(t,e,r){\"use strict\";e.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),u(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up);return i};var n=t(\"filtered-vector\"),i=t(\"gl-mat4/lookAt\"),a=t(\"gl-mat4/fromQuat\"),o=t(\"gl-mat4/invert\"),s=t(\"./lib/quatFromFrame\");function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function c(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=c(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var 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,M=k[0],A=k[1],S=k[2],E=k[3],L=M*w+E*x+A*_-S*b,C=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":484,\"filtered-vector\":246,\"gl-mat4/fromQuat\":284,\"gl-mat4/invert\":295,\"gl-mat4/lookAt\":296}],486:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
       "\"use strict\";var n=t(\"repeat-string\");e.exports=function(t,e,r){return n(r=void 0!==r?r+\"\":\" \",e)+t}},{\"repeat-string\":537}],487:[function(t,e,r){\"use strict\";function n(t,e){if(\"string\"!=typeof t)return[t];var r=[t];\"string\"==typeof e||Array.isArray(e)?e={brackets:e}:e||(e={});var n=e.brackets?Array.isArray(e.brackets)?e.brackets:[e.brackets]:[\"{}\",\"[]\",\"()\"],i=e.escape||\"___\",a=!!e.flat;n.forEach((function(t){var e=new RegExp([\"\\\\\",t[0],\"[^\\\\\",t[0],\"\\\\\",t[1],\"]*\\\\\",t[1]].join(\"\")),n=[];function a(e,a,o){var s=r.push(e.slice(t[0].length,-t[1].length))-1;return n.push(s),i+s+i}r.forEach((function(t,n){for(var i,o=0;t!=i;)if(i=t,t=t.replace(e,a),o++>1e4)throw Error(\"References have circular dependency. Please, check them.\");r[n]=t})),n=n.reverse(),r=r.map((function(e){return n.forEach((function(r){e=e.replace(new RegExp(\"(\\\\\"+i+r+\"\\\\\"+i+\")\",\"g\"),t[0]+\"$1\"+t[1])})),e}))}));var o=new RegExp(\"\\\\\"+i+\"([0-9]+)\\\\\"+i);return a?r:function t(e,r,n){for(var i,a=[],s=0;i=o.exec(e);){if(s++>1e4)throw Error(\"Circular references in parenthesis\");a.push(e.slice(0,i.index)),a.push(t(r[i[1]],r)),e=e.slice(i.index+i[0].length)}return a.push(e),a}(r[0],r)}function i(t,e){if(e&&e.flat){var r,n=e&&e.escape||\"___\",i=t[0];if(!i)return\"\";for(var a=new RegExp(\"\\\\\"+n+\"([0-9]+)\\\\\"+n),o=0;i!=r;){if(o++>1e4)throw Error(\"Circular references in \"+t);r=i,i=i.replace(a,s)}return i}return t.reduce((function t(e,r){return Array.isArray(r)&&(r=r.reduce(t,\"\")),e+r}),\"\");function s(e,r){if(null==t[r])throw Error(\"Reference \"+r+\"is undefined\");return t[r]}}function a(t,e){return Array.isArray(t)?i(t,e):n(t,e)}a.parse=n,a.stringify=i,e.exports=a},{}],488:[function(t,e,r){\"use strict\";var n=t(\"pick-by-alias\");e.exports=function(t){var e;arguments.length>1&&(t=arguments);\"string\"==typeof t?t=t.split(/\\s/).map(parseFloat):\"number\"==typeof t&&(t=[t]);t.length&&\"number\"==typeof t[0]?e=1===t.length?{width:t[0],height:t[0],x:0,y:0}:2===t.length?{width:t[0],height:t[1],x:0,y:0}:{x:t[0],y:t[1],width:t[2]-t[0]||0,height:t[3]-t[1]||0}:t&&(t=n(t,{left:\"x l left Left\",top:\"y t top Top\",width:\"w width W Width\",height:\"h height W Width\",bottom:\"b bottom Bottom\",right:\"r right Right\"}),e={x:t.left||0,y:t.top||0},null==t.width?t.right?e.width=t.right-e.x:e.width=0:e.width=t.width,null==t.height?t.bottom?e.height=t.bottom-e.y:e.height=0:e.height=t.height);return e}},{\"pick-by-alias\":494}],489:[function(t,e,r){e.exports=function(t){var e=[];return t.replace(i,(function(t,r,i){var o=r.toLowerCase();for(i=function(t){var e=t.match(a);return e?e.map(Number):[]}(i),\"m\"==o&&i.length>2&&(e.push([r].concat(i.splice(0,2))),o=\"l\",r=\"m\"==r?\"l\":\"L\");;){if(i.length==n[o])return i.unshift(r),e.push(i);if(i.length<n[o])throw new Error(\"malformed path data\");e.push([r].concat(i.splice(0,n[o])))}})),e};var n={a:7,c:6,h:1,l:2,m:2,q:4,s:4,t:2,v:1,z:0},i=/([astvzqmhlc])([^astvzqmhlc]*)/gi;var a=/-?[0-9]*\\.?[0-9]+(?:e[-+]?\\d+)?/gi},{}],490:[function(t,e,r){e.exports=function(t,e){e||(e=[0,\"\"]),t=String(t);var r=parseFloat(t,10);return e[0]=r,e[1]=t.match(/[\\d.\\-\\+]*\\s*(.*)/)[1]||\"\",e}},{}],491:[function(t,e,r){(function(t){(function(){(function(){var r,n,i,a,o,s;\"undefined\"!=typeof performance&&null!==performance&&performance.now?e.exports=function(){return performance.now()}:null!=t&&t.hrtime?(e.exports=function(){return(r()-o)/1e6},n=t.hrtime,a=(r=function(){var t;return 1e9*(t=n())[0]+t[1]})(),s=1e9*t.uptime(),o=a-s):Date.now?(e.exports=function(){return Date.now()-i},i=Date.now()):(e.exports=function(){return(new Date).getTime()-i},i=(new Date).getTime())}).call(this)}).call(this)}).call(this,t(\"_process\"))},{_process:524}],492:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.length;if(e<32){for(var r=1,i=0;i<e;++i)for(var a=0;a<i;++a)if(t[i]<t[a])r=-r;else if(t[i]===t[a])return 0;return r}var o=n.mallocUint8(e);for(i=0;i<e;++i)o[i]=0;for(r=1,i=0;i<e;++i)if(!o[i]){var s=1;o[i]=1;for(a=t[i];a!==i;a=t[a]){if(o[a])return n.freeUint8(o),0;s+=1,o[a]=1}1&s||(r=-r)}return n.freeUint8(o),r};var n=t(\"typedarray-pool\")},{\"typedarray-pool\":613}],493:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"invert-permutation\");r.rank=function(t){var e=t.length;switch(e){case 0:case 1:return 0;case 2:return t[1]}var r,a,o,s=n.mallocUint32(e),l=n.mallocUint32(e),c=0;for(i(t,l),o=0;o<e;++o)s[o]=t[o];for(o=e-1;o>0;--o)a=l[o],r=s[o],s[o]=s[a],s[a]=r,l[o]=l[r],l[r]=a,c=(c+r)*o;return n.freeUint32(l),n.freeUint32(s),c},r.unrank=function(t,e,r){switch(t){case 0:return r||[];case 1:return r?(r[0]=0,r):[0];case 2:return r?(e?(r[0]=0,r[1]=1):(r[0]=1,r[1]=0),r):e?[0,1]:[1,0]}var n,i,a,o=1;for((r=r||new Array(t))[0]=0,a=1;a<t;++a)r[a]=a,o=o*a|0;for(a=t-1;a>0;--a)e=e-(n=e/o|0)*o|0,o=o/a|0,i=0|r[a],r[a]=0|r[n],r[n]=0|i;return r}},{\"invert-permutation\":446,\"typedarray-pool\":613}],494:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n,a,o={};if(\"string\"==typeof e&&(e=i(e)),Array.isArray(e)){var s={};for(a=0;a<e.length;a++)s[e[a]]=!0;e=s}for(n in e)e[n]=i(e[n]);var l={};for(n in e){var c=e[n];if(Array.isArray(c))for(a=0;a<c.length;a++){var u=c[a];if(r&&(l[u]=!0),u in t){if(o[n]=t[u],r)for(var f=a;f<c.length;f++)l[c[f]]=!0;break}}else n in t&&(e[n]&&(o[n]=t[n]),r&&(l[n]=!0))}if(r)for(n in t)l[n]||(o[n]=t[n]);return o};var n={};function i(t){return n[t]?n[t]:(\"string\"==typeof t&&(t=n[t]=t.split(/\\s*,\\s*|\\s+/)),t)}},{}],495:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=0|e.length,i=t.length,a=[new Array(r),new Array(r)],o=0;o<r;++o)a[0][o]=[],a[1][o]=[];for(o=0;o<i;++o){var s=t[o];a[0][s[0]].push(s),a[1][s[1]].push(s)}var l=[];for(o=0;o<r;++o)a[0][o].length+a[1][o].length===0&&l.push([o]);function c(t,e){var r=a[e][t[e]];r.splice(r.indexOf(t),1)}function u(t,r,i){for(var o,s,l,u=0;u<2;++u)if(a[u][r].length>0){o=a[u][r][0],l=u;break}s=o[1^l];for(var f=0;f<2;++f)for(var h=a[f][r],p=0;p<h.length;++p){var d=h[p],m=d[1^f];n(e[t],e[r],e[s],e[m])>0&&(o=d,s=m,l=f)}return i||o&&c(o,l),s}function f(t,r){var i=a[r][t][0],o=[t];c(i,r);for(var s=i[1^r];;){for(;s!==t;)o.push(s),s=u(o[o.length-2],s,!1);if(a[0][t].length+a[1][t].length===0)break;var l=o[o.length-1],f=t,h=o[1],p=u(l,f,!0);if(n(e[l],e[f],e[h],e[p])<0)break;o.push(t),s=u(l,f)}return o}function h(t,e){return e[1]===e[e.length-1]}for(o=0;o<r;++o)for(var p=0;p<2;++p){for(var d=[];a[p][o].length>0;){a[0][o].length;var m=f(o,p);h(0,m)?d.push.apply(d,m):(d.length>0&&l.push(d),d=m)}d.length>0&&l.push(d)}return l};var n=t(\"compare-angle\")},{\"compare-angle\":138}],496:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=n(t,e.length),i=new Array(e.length),a=new Array(e.length),o=[],s=0;s<e.length;++s){var l=r[s].length;a[s]=l,i[s]=!0,l<=1&&o.push(s)}for(;o.length>0;){var c=o.pop();i[c]=!1;var u=r[c];for(s=0;s<u.length;++s){var f=u[s];0==--a[f]&&o.push(f)}}var h=new Array(e.length),p=[];for(s=0;s<e.length;++s)if(i[s]){c=p.length;h[s]=c,p.push(e[s])}else h[s]=-1;var d=[];for(s=0;s<t.length;++s){var m=t[s];i[m[0]]&&i[m[1]]&&d.push([h[m[0]],h[m[1]]])}return[d,p]};var n=t(\"edges-to-adjacency-list\")},{\"edges-to-adjacency-list\":183}],497:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=c(t,e);t=r[0];for(var f=(e=r[1]).length,h=(t.length,n(t,e.length)),p=0;p<f;++p)if(h[p].length%2==1)throw new Error(\"planar-graph-to-polyline: graph must be manifold\");var d=i(t,e);var m=(d=d.filter((function(t){for(var r=t.length,n=[0],i=0;i<r;++i){var a=e[t[i]],l=e[t[(i+1)%r]],c=o(-a[0],a[1]),u=o(-a[0],l[1]),f=o(l[0],a[1]),h=o(l[0],l[1]);n=s(n,s(s(c,u),s(f,h)))}return n[n.length-1]>0}))).length,g=new Array(m),v=new Array(m);for(p=0;p<m;++p){g[p]=p;var y=new Array(m),x=d[p].map((function(t){return e[t]})),b=a([x]),_=0;t:for(var w=0;w<m;++w)if(y[w]=0,p!==w){for(var T=(q=d[w]).length,k=0;k<T;++k){var M=b(e[q[k]]);if(0!==M){M<0&&(y[w]=1,_+=1);continue t}}y[w]=1,_+=1}v[p]=[_,p,y]}v.sort((function(t,e){return e[0]-t[0]}));for(p=0;p<m;++p){var A=(y=v[p])[1],S=y[2];for(w=0;w<m;++w)S[w]&&(g[w]=A)}var E=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=[];return e}(m);for(p=0;p<m;++p)E[p].push(g[p]),E[g[p]].push(p);var L={},C=u(f,!1);for(p=0;p<m;++p)for(T=(q=d[p]).length,w=0;w<T;++w){var P=q[w],I=q[(w+1)%T],O=Math.min(P,I)+\":\"+Math.max(P,I);if(O in L){var z=L[O];E[z].push(p),E[p].push(z),C[P]=C[I]=!0}else L[O]=p}function D(t){for(var e=t.length,r=0;r<e;++r)if(!C[t[r]])return!1;return!0}var R=[],F=u(m,-1);for(p=0;p<m;++p)g[p]!==p||D(d[p])?F[p]=-1:(R.push(p),F[p]=0);r=[];for(;R.length>0;){var B=R.pop(),N=E[B];l(N,(function(t,e){return t-e}));var j,U=N.length,V=F[B];if(0===V){var q=d[B];j=[q]}for(p=0;p<U;++p){var H=N[p];if(!(F[H]>=0))if(F[H]=1^V,R.push(H),0===V)D(q=d[H])||(q.reverse(),j.push(q))}0===V&&r.push(j)}return r};var n=t(\"edges-to-adjacency-list\"),i=t(\"planar-dual\"),a=t(\"point-in-big-polygon\"),o=t(\"two-product\"),s=t(\"robust-sum\"),l=t(\"uniq\"),c=t(\"./lib/trim-leaves\");function u(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=e;return r}},{\"./lib/trim-leaves\":496,\"edges-to-adjacency-list\":183,\"planar-dual\":495,\"point-in-big-polygon\":499,\"robust-sum\":549,\"two-product\":600,uniq:615}],498:[function(t,e,r){arguments[4][247][0].apply(r,arguments)},{dup:247}],499:[function(t,e,r){e.exports=function(t){for(var e=t.length,r=[],a=[],s=0;s<e;++s)for(var u=t[s],f=u.length,h=f-1,p=0;p<f;h=p++){var d=u[h],m=u[p];d[0]===m[0]?a.push([d,m]):r.push([d,m])}if(0===r.length)return 0===a.length?c:(g=l(a),function(t){return g(t[0],t[1])?0:1});var g;var v=i(r),y=function(t,e){return function(r){var i=o.le(e,r[0]);if(i<0)return 1;var a=t[i];if(!a){if(!(i>0&&e[i]===r[0]))return 1;a=t[i-1]}for(var s=1;a;){var l=a.key,c=n(r,l[0],l[1]);if(l[0][0]<l[1][0])if(c<0)a=a.left;else{if(!(c>0))return 0;s=-1,a=a.right}else if(c>0)a=a.left;else{if(!(c<0))return 0;s=1,a=a.right}}return s}}(v.slabs,v.coordinates);return 0===a.length?y:function(t,e){return function(r){return t(r[0],r[1])?0:e(r)}}(l(a),y)};var n=t(\"robust-orientation\")[3],i=t(\"slab-decomposition\"),a=t(\"interval-tree-1d\"),o=t(\"binary-search-bounds\");function s(){return!0}function l(t){for(var e={},r=0;r<t.length;++r){var n=t[r],i=n[0][0],o=n[0][1],l=n[1][1],c=[Math.min(o,l),Math.max(o,l)];i in e?e[i].push(c):e[i]=[c]}var u={},f=Object.keys(e);for(r=0;r<f.length;++r){var h=e[f[r]];u[f[r]]=a(h)}return function(t){return function(e,r){var n=t[e];return!!n&&!!n.queryPoint(r,s)}}(u)}function c(t){return 1}},{\"binary-search-bounds\":498,\"interval-tree-1d\":444,\"robust-orientation\":544,\"slab-decomposition\":562}],500:[function(t,e,r){\n",
       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
       "var n,i=t(\"./lib/build-log\"),a=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return t.regions.forEach(e.addRegion),{segments:e.calculate(t.inverted),inverted:t.inverted}},combine:function(t,e){return{combined:o(!1,f,u).calculate(t.segments,t.inverted,e.segments,e.inverted),inverted1:t.inverted,inverted2:e.inverted}},selectUnion:function(t){return{segments:l.union(t.combined,u),inverted:t.inverted1||t.inverted2}},selectIntersect:function(t){return{segments:l.intersect(t.combined,u),inverted:t.inverted1&&t.inverted2}},selectDifference:function(t){return{segments:l.difference(t.combined,u),inverted:t.inverted1&&!t.inverted2}},selectDifferenceRev:function(t){return{segments:l.differenceRev(t.combined,u),inverted:!t.inverted1&&t.inverted2}},selectXor:function(t){return{segments:l.xor(t.combined,u),inverted:t.inverted1!==t.inverted2}},polygon:function(t){return{regions:s(t.segments,f,u),inverted:t.inverted}},polygonFromGeoJSON:function(t){return c.toPolygon(n,t)},polygonToGeoJSON:function(t){return c.fromPolygon(n,f,t)},union:function(t,e){return h(t,e,n.selectUnion)},intersect:function(t,e){return h(t,e,n.selectIntersect)},difference:function(t,e){return h(t,e,n.selectDifference)},differenceRev:function(t,e){return h(t,e,n.selectDifferenceRev)},xor:function(t,e){return h(t,e,n.selectXor)}},\"object\"==typeof window&&(window.PolyBool=n),e.exports=n},{\"./lib/build-log\":501,\"./lib/epsilon\":502,\"./lib/geojson\":503,\"./lib/intersecter\":504,\"./lib/segment-chainer\":506,\"./lib/segment-selector\":507}],501:[function(t,e,r){e.exports=function(){var t,e=0,r=!1;function n(e,r){return t.list.push({type:e,data:r?JSON.parse(JSON.stringify(r)):void 0}),t}return t={list:[],segmentId:function(){return e++},checkIntersection:function(t,e){return n(\"check\",{seg1:t,seg2:e})},segmentChop:function(t,e){return n(\"div_seg\",{seg:t,pt:e}),n(\"chop\",{seg:t,pt:e})},statusRemove:function(t){return n(\"pop_seg\",{seg:t})},segmentUpdate:function(t){return n(\"seg_update\",{seg:t})},segmentNew:function(t,e){return n(\"new_seg\",{seg:t,primary:e})},segmentRemove:function(t){return n(\"rem_seg\",{seg:t})},tempStatus:function(t,e,r){return n(\"temp_status\",{seg:t,above:e,below:r})},rewind:function(t){return n(\"rewind\",{seg:t})},status:function(t,e,r){return n(\"status\",{seg:t,above:e,below:r})},vert:function(e){return e===r?t:(r=e,n(\"vert\",{x:e}))},log:function(t){return\"string\"!=typeof t&&(t=JSON.stringify(t,!1,\"  \")),n(\"log\",{txt:t})},reset:function(){return n(\"reset\")},selected:function(t){return n(\"selected\",{segs:t})},chainStart:function(t){return n(\"chain_start\",{seg:t})},chainRemoveHead:function(t,e){return n(\"chain_rem_head\",{index:t,pt:e})},chainRemoveTail:function(t,e){return n(\"chain_rem_tail\",{index:t,pt:e})},chainNew:function(t,e){return n(\"chain_new\",{pt1:t,pt2:e})},chainMatch:function(t){return n(\"chain_match\",{index:t})},chainClose:function(t){return n(\"chain_close\",{index:t})},chainAddHead:function(t,e){return n(\"chain_add_head\",{index:t,pt:e})},chainAddTail:function(t,e){return n(\"chain_add_tail\",{index:t,pt:e})},chainConnect:function(t,e){return n(\"chain_con\",{index1:t,index2:e})},chainReverse:function(t){return n(\"chain_rev\",{index:t})},chainJoin:function(t,e){return n(\"chain_join\",{index1:t,index2:e})},done:function(){return n(\"done\")}}}},{}],502:[function(t,e,r){e.exports=function(t){\"number\"!=typeof t&&(t=1e-10);var e={epsilon:function(e){return\"number\"==typeof e&&(t=e),t},pointAboveOrOnLine:function(e,r,n){var i=r[0],a=r[1],o=n[0],s=n[1],l=e[0];return(o-i)*(e[1]-a)-(s-a)*(l-i)>=-t},pointBetween:function(e,r,n){var i=e[1]-r[1],a=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*a+i*s;return!(l<t)&&!(l-(a*a+s*s)>-t)},pointsSameX:function(e,r){return Math.abs(e[0]-r[0])<t},pointsSameY:function(e,r){return Math.abs(e[1]-r[1])<t},pointsSame:function(t,r){return e.pointsSameX(t,r)&&e.pointsSameY(t,r)},pointsCompare:function(t,r){return e.pointsSameX(t,r)?e.pointsSameY(t,r)?0:t[1]<r[1]?-1:1:t[0]<r[0]?-1:1},pointsCollinear:function(e,r,n){var i=e[0]-r[0],a=e[1]-r[1],o=r[0]-n[0],s=r[1]-n[1];return Math.abs(i*s-o*a)<t},linesIntersect:function(e,r,n,i){var a=r[0]-e[0],o=r[1]-e[1],s=i[0]-n[0],l=i[1]-n[1],c=a*l-o*s;if(Math.abs(c)<t)return!1;var u=e[0]-n[0],f=e[1]-n[1],h=(s*f-l*u)/c,p=(a*f-o*u)/c,d={alongA:0,alongB:0,pt:[e[0]+h*a,e[1]+h*o]};return d.alongA=h<=-t?-2:h<t?-1:h-1<=-t?0:h-1<t?1:2,d.alongB=p<=-t?-2:p<t?-1:p-1<=-t?0:p-1<t?1:2,d},pointInsideRegion:function(e,r){for(var n=e[0],i=e[1],a=r[r.length-1][0],o=r[r.length-1][1],s=!1,l=0;l<r.length;l++){var c=r[l][0],u=r[l][1];u-i>t!=o-i>t&&(a-c)*(i-u)/(o-u)+c-n>t&&(s=!s),a=c,o=u}return s}};return e}},{}],503:[function(t,e,r){var n={toPolygon:function(t,e){function r(e){if(e.length<=0)return t.segments({inverted:!1,regions:[]});function r(e){var r=e.slice(0,e.length-1);return t.segments({inverted:!1,regions:[r]})}for(var n=r(e[0]),i=1;i<e.length;i++)n=t.selectDifference(t.combine(n,r(e[i])));return n}if(\"Polygon\"===e.type)return t.polygon(r(e.coordinates));if(\"MultiPolygon\"===e.type){for(var n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++){if(n(e,(s=t.children[r]).region))return void o(s,e)}var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var 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},{}],504:[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\":505}],505:[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}}},{}],506:[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?(M(_),A(_,w)):(M(w),A(w,_)):A(w,_):l.matches_head?A(_,w):T?(M(_),A(w,_)):(M(w),A(_,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 M(t){r&&r.chainReverse(t),n[t].reverse()}function A(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}},{}],507:[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},{}],508:[function(t,e,r){\"use strict\";var n=new Float64Array(4),i=new Float64Array(4),a=new Float64Array(4);e.exports=function(t,e,r,o,s){n.length<o.length&&(n=new Float64Array(o.length),i=new Float64Array(o.length),a=new Float64Array(o.length));for(var l=0;l<o.length;++l)n[l]=t[l]-o[l],i[l]=e[l]-t[l],a[l]=r[l]-t[l];var c=0,u=0,f=0,h=0,p=0,d=0;for(l=0;l<o.length;++l){var m=i[l],g=a[l],v=n[l];c+=m*m,u+=m*g,f+=g*g,h+=v*m,p+=v*g,d+=v*v}var y,x,b,_,w,T=Math.abs(c*f-u*u),k=u*p-f*h,M=u*h-c*p;if(k+M<=T)if(k<0)M<0&&h<0?(M=0,-h>=c?(k=1,y=c+2*h+d):y=h*(k=-h/c)+d):(k=0,p>=0?(M=0,y=d):-p>=f?(M=1,y=f+2*p+d):y=p*(M=-p/f)+d);else if(M<0)M=0,h>=0?(k=0,y=d):-h>=c?(k=1,y=c+2*h+d):y=h*(k=-h/c)+d;else{var A=1/T;y=(k*=A)*(c*k+u*(M*=A)+2*h)+M*(u*k+f*M+2*p)+d}else k<0?(b=f+p)>(x=u+h)?(_=b-x)>=(w=c-2*u+f)?(k=1,M=0,y=c+2*h+d):y=(k=_/w)*(c*k+u*(M=1-k)+2*h)+M*(u*k+f*M+2*p)+d:(k=0,b<=0?(M=1,y=f+2*p+d):p>=0?(M=0,y=d):y=p*(M=-p/f)+d):M<0?(b=c+h)>(x=u+p)?(_=b-x)>=(w=c-2*u+f)?(M=1,k=0,y=f+2*p+d):y=(k=1-(M=_/w))*(c*k+u*M+2*h)+M*(u*k+f*M+2*p)+d:(M=0,b<=0?(k=1,y=c+2*h+d):h>=0?(k=0,y=d):y=h*(k=-h/c)+d):(_=f+p-u-h)<=0?(k=0,M=1,y=f+2*p+d):_>=(w=c-2*u+f)?(k=1,M=0,y=c+2*h+d):y=(k=_/w)*(c*k+u*(M=1-k)+2*h)+M*(u*k+f*M+2*p)+d;var S=1-k-M;for(l=0;l<o.length;++l)s[l]=S*t[l]+k*e[l]+M*r[l];return y<0?0:y}},{}],509:[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(this,this.constructor),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:565,\"stream-parser\":581}],510:[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}}},{}],511:[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 n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return\"avif\"===e||\"avis\"===e||\"avio\"===e?{type:\"avif\",mime:\"image/avif\"}:\"heic\"===e||\"heix\"===e?{type:\"heic\",mime:\"image/heic\"}:\"hevc\"===e||\"hevx\"===e?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}},{\"./common\":509}],512:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=t(\"../miaf_utils\"),s=t(\"../exif_utils\"),l=n(\"ftyp\");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,\"mdat\"===u.boxtype)return;if(\"meta\"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:\"px\",hUnits:\"px\"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),m=s.get_orientation(d);m>0&&(h.orientation=m)}return h}}}}}}},{\"../common\":509,\"../exif_utils\":510,\"../miaf_utils\":511}],513:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"BM\");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":509}],514:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"GIF87a\"),s=n(\"GIF89a\");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":509}],515:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}},{\"../common\":509}],516:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16BE,i=t(\"../common\").str2arr,a=t(\"../common\").sliceEq,o=t(\"../exif_utils\"),s=i(\"Exif\\0\\0\");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1])for(var e=2;;){if(t.length-e<2)return;if(255!==t[e++])return;for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var c={width:n(t,e+3),height:n(t,e+1),type:\"jpg\",mime:\"image/jpeg\",wUnits:\"px\",hUnits:\"px\"};return i>0&&(c.orientation=i),c}e+=r}}},{\"../common\":509,\"../exif_utils\":510}],517:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"\\x89PNG\\r\\n\\x1a\\n\"),s=n(\"IHDR\");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:\"png\",mime:\"image/png\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":509}],518:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":509}],519:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var f=function(t){var e=t.match(o),r=t.match(s),n=t.match(l);return{width:e&&(e[1]||e[2]),height:r&&(r[1]||r[2]),viewbox:n&&(n[1]||n[2])}}(c),h=parseFloat(f.width),p=parseFloat(f.height);if(f.width&&f.height){if(!n(h)||!n(p))return;return{width:h,height:p,type:\"svg\",mime:\"image/svg+xml\",wUnits:u(f.width),hUnits:u(f.height)}}var d=(f.viewbox||\"\").split(\" \"),m={width:d[2],height:d[3]},g=parseFloat(m.width),v=parseFloat(m.height);if(n(g)&&n(v)&&u(m.width)===u(m.height)){var y=g/v;if(f.width){if(!n(h))return;return{width:h,height:h/y,type:\"svg\",mime:\"image/svg+xml\",wUnits:u(f.width),hUnits:u(f.width)}}if(f.height){if(!n(p))return;return{width:p*y,height:p,type:\"svg\",mime:\"image/svg+xml\",wUnits:u(f.height),hUnits:u(f.height)}}return{width:g,height:v,type:\"svg\",mime:\"image/svg+xml\",wUnits:u(m.width),hUnits:u(m.height)}}}}}},{}],520:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=t(\"../common\").readUInt16BE,s=t(\"../common\").readUInt32LE,l=t(\"../common\").readUInt32BE,c=n(\"II*\\0\"),u=n(\"MM\\0*\");function f(t,e,r){return r?o(t,e):a(t,e)}function h(t,e,r){return r?l(t,e):s(t,e)}function p(t,e,r){var n=f(t,e+2,r);return 1!==h(t,e+4,r)||3!==n&&4!==n?null:3===n?f(t,e+8,r):h(t,e+8,r)}e.exports=function(t){if(!(t.length<8)&&(i(t,0,c)||i(t,0,u))){var e=77===t[0],r=h(t,4,e)-8;if(!(r<0)){var n=r+8;if(!(t.length-n<2)){var a=12*f(t,n+0,e);if(!(a<=0||(n+=2,t.length-n<a))){var o,s,l,d;for(o=0;o<a;o+=12)256===(d=f(t,n+o,e))?s=p(t,n+o,e):257===d&&(l=p(t,n+o,e));return s&&l?{width:s,height:l,type:\"tiff\",mime:\"image/tiff\",wUnits:\"px\",hUnits:\"px\"}:void 0}}}}}},{\"../common\":509}],521:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=t(\"../common\").readUInt32LE,s=t(\"../exif_utils\"),l=n(\"RIFF\"),c=n(\"WEBP\");function u(t,e){if(157===t[e+3]&&1===t[e+4]&&42===t[e+5])return{width:16383&a(t,e+6),height:16383&a(t,e+8),type:\"webp\",mime:\"image/webp\",wUnits:\"px\",hUnits:\"px\"}}function f(t,e){if(47===t[e]){var r=o(t,e+1);return{width:1+(16383&r),height:1+(r>>14&16383),type:\"webp\",mime:\"image/webp\",wUnits:\"px\",hUnits:\"px\"}}}function h(t,e){return{width:1+(t[e+6]<<16|t[e+5]<<8|t[e+4]),height:1+(t[e+9]<<e|t[e+8]<<8|t[e+7]),type:\"webp\",mime:\"image/webp\",wUnits:\"px\",hUnits:\"px\"}}e.exports=function(t){if(!(t.length<16)&&(i(t,0,l)||i(t,8,c))){var e=12,r=null,n=0,a=o(t,4)+8;if(!(a>t.length)){for(;e+8<a;)if(0!==t[e]){var p=String.fromCharCode.apply(null,t.slice(e,e+4)),d=o(t,e+4);\"VP8 \"===p&&d>=10?r=r||u(t,e+8):\"VP8L\"===p&&d>=9?r=r||f(t,e+8):\"VP8X\"===p&&d>=10?r=r||h(t,e+8):\"EXIF\"===p&&(n=s.get_orientation(t.slice(e+8,e+8+d)),e=1/0),e+=8+d}else e++;if(r)return n>0&&(r.orientation=n),r}}}},{\"../common\":509,\"../exif_utils\":510}],522:[function(t,e,r){\"use strict\";e.exports={avif:t(\"./parse_sync/avif\"),bmp:t(\"./parse_sync/bmp\"),gif:t(\"./parse_sync/gif\"),ico:t(\"./parse_sync/ico\"),jpeg:t(\"./parse_sync/jpeg\"),png:t(\"./parse_sync/png\"),psd:t(\"./parse_sync/psd\"),svg:t(\"./parse_sync/svg\"),tiff:t(\"./parse_sync/tiff\"),webp:t(\"./parse_sync/webp\")}},{\"./parse_sync/avif\":512,\"./parse_sync/bmp\":513,\"./parse_sync/gif\":514,\"./parse_sync/ico\":515,\"./parse_sync/jpeg\":516,\"./parse_sync/png\":517,\"./parse_sync/psd\":518,\"./parse_sync/svg\":519,\"./parse_sync/tiff\":520,\"./parse_sync/webp\":521}],523:[function(t,e,r){\"use strict\";var n=t(\"./lib/parsers_sync\");e.exports=function(t){return function(t){for(var e=Object.keys(n),r=0;r<e.length;r++){var i=n[e[r]](t);if(i)return i}return null}(t)},e.exports.parsers=n},{\"./lib/parsers_sync\":522}],524:[function(t,e,r){var n,i,a=e.exports={};function o(){throw new Error(\"setTimeout has not been defined\")}function s(){throw new Error(\"clearTimeout has not been defined\")}function l(t){if(n===setTimeout)return setTimeout(t,0);if((n===o||!n)&&setTimeout)return n=setTimeout,setTimeout(t,0);try{return n(t,0)}catch(e){try{return n.call(null,t,0)}catch(e){return n.call(this,t,0)}}}!function(){try{n=\"function\"==typeof setTimeout?setTimeout:o}catch(t){n=o}try{i=\"function\"==typeof clearTimeout?clearTimeout:s}catch(t){i=s}}();var c,u=[],f=!1,h=-1;function p(){f&&c&&(f=!1,c.length?u=c.concat(u):h=-1,u.length&&d())}function d(){if(!f){var t=l(p);f=!0;for(var e=u.length;e;){for(c=u,u=[];++h<e;)c&&c[h].run();h=-1,e=u.length}c=null,f=!1,function(t){if(i===clearTimeout)return clearTimeout(t);if((i===s||!i)&&clearTimeout)return i=clearTimeout,clearTimeout(t);try{i(t)}catch(e){try{return i.call(null,t)}catch(e){return i.call(this,t)}}}(t)}}function m(t,e){this.fun=t,this.array=e}function g(){}a.nextTick=function(t){var e=new Array(arguments.length-1);if(arguments.length>1)for(var r=1;r<arguments.length;r++)e[r-1]=arguments[r];u.push(new m(t,e)),1!==u.length||f||l(d)},m.prototype.run=function(){this.fun.apply(null,this.array)},a.title=\"browser\",a.browser=!0,a.env={},a.argv=[],a.version=\"\",a.versions={},a.on=g,a.addListener=g,a.once=g,a.off=g,a.removeListener=g,a.removeAllListeners=g,a.emit=g,a.prependListener=g,a.prependOnceListener=g,a.listeners=function(t){return[]},a.binding=function(t){throw new Error(\"process.binding is not supported\")},a.cwd=function(){return\"/\"},a.chdir=function(t){throw new Error(\"process.chdir is not supported\")},a.umask=function(){return 0}},{}],525:[function(t,e,r){e.exports=t(\"gl-quat/slerp\")},{\"gl-quat/slerp\":325}],526:[function(t,e,r){(function(r){(function(){for(var n=t(\"performance-now\"),i=\"undefined\"==typeof window?r:window,a=[\"moz\",\"webkit\"],o=\"AnimationFrame\",s=i[\"request\"+o],l=i[\"cancel\"+o]||i[\"cancelRequest\"+o],c=0;!s&&c<a.length;c++)s=i[a[c]+\"Request\"+o],l=i[a[c]+\"Cancel\"+o]||i[a[c]+\"CancelRequest\"+o];if(!s||!l){var u=0,f=0,h=[];s=function(t){if(0===h.length){var e=n(),r=Math.max(0,1e3/60-(e-u));u=r+e,setTimeout((function(){var t=h.slice(0);h.length=0;for(var e=0;e<t.length;e++)if(!t[e].cancelled)try{t[e].callback(u)}catch(t){setTimeout((function(){throw t}),0)}}),Math.round(r))}return h.push({handle:++f,callback:t,cancelled:!1}),f},l=function(t){for(var e=0;e<h.length;e++)h[e].handle===t&&(h[e].cancelled=!0)}}e.exports=function(t){return s.call(i,t)},e.exports.cancel=function(){l.apply(i,arguments)},e.exports.polyfill=function(t){t||(t=i),t.requestAnimationFrame=s,t.cancelAnimationFrame=l}}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"performance-now\":491}],527:[function(t,e,r){\"use strict\";var n=t(\"big-rat/add\");e.exports=function(t,e){for(var r=t.length,i=new Array(r),a=0;a<r;++a)i[a]=n(t[a],e[a]);return i}},{\"big-rat/add\":87}],528:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t.length),r=0;r<t.length;++r)e[r]=n(t[r]);return e};var n=t(\"big-rat\")},{\"big-rat\":90}],529:[function(t,e,r){\"use strict\";var n=t(\"big-rat\"),i=t(\"big-rat/mul\");e.exports=function(t,e){for(var r=n(e),a=t.length,o=new Array(a),s=0;s<a;++s)o[s]=i(t[s],r);return o}},{\"big-rat\":90,\"big-rat/mul\":99}],530:[function(t,e,r){\"use strict\";var n=t(\"big-rat/sub\");e.exports=function(t,e){for(var r=t.length,i=new Array(r),a=0;a<r;++a)i[a]=n(t[a],e[a]);return i}},{\"big-rat/sub\":101}],531:[function(t,e,r){\"use strict\";var n=t(\"compare-cell\"),i=t(\"compare-oriented-cell\"),a=t(\"cell-orientation\");e.exports=function(t){t.sort(i);for(var e=t.length,r=0,o=0;o<e;++o){var s=t[o],l=a(s);if(0!==l){if(r>0){var c=t[r-1];if(0===n(s,c)&&a(c)!==l){r-=1;continue}}t[r++]=s}}return t.length=r,t}},{\"cell-orientation\":123,\"compare-cell\":139,\"compare-oriented-cell\":140}],532:[function(t,e,r){\"use strict\";var n=t(\"array-bounds\"),i=t(\"color-normalize\"),a=t(\"update-diff\"),o=t(\"pick-by-alias\"),s=t(\"object-assign\"),l=t(\"flatten-vertex-data\"),c=t(\"to-float32\"),u=c.float32,f=c.fract32;e.exports=function(t,e){\"function\"==typeof t?(e||(e={}),e.regl=t):e=t;e.length&&(e.positions=e);if(!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");var r,c,p,d,m,g,v=t._gl,y={color:\"black\",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},x=[];return d=t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array(0)}),c=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),p=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),m=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),g=t.buffer({usage:\"static\",type:\"float\",data:h}),T(e),r=t({vert:\"\\n\\t\\tprecision highp float;\\n\\n\\t\\tattribute vec2 position, positionFract;\\n\\t\\tattribute vec4 error;\\n\\t\\tattribute vec4 color;\\n\\n\\t\\tattribute vec2 direction, lineOffset, capOffset;\\n\\n\\t\\tuniform vec4 viewport;\\n\\t\\tuniform float lineWidth, capSize;\\n\\t\\tuniform vec2 scale, scaleFract, translate, translateFract;\\n\\n\\t\\tvarying vec4 fragColor;\\n\\n\\t\\tvoid main() {\\n\\t\\t\\tfragColor = color / 255.;\\n\\n\\t\\t\\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\\n\\n\\t\\t\\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\\n\\n\\t\\t\\tvec2 position = position + dxy;\\n\\n\\t\\t\\tvec2 pos = (position + translate) * scale\\n\\t\\t\\t\\t+ (positionFract + translateFract) * scale\\n\\t\\t\\t\\t+ (position + translate) * scaleFract\\n\\t\\t\\t\\t+ (positionFract + translateFract) * scaleFract;\\n\\n\\t\\t\\tpos += pixelOffset / viewport.zw;\\n\\n\\t\\t\\tgl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\t\\t}\\n\\t\\t\",frag:\"\\n\\t\\tprecision highp float;\\n\\n\\t\\tvarying vec4 fragColor;\\n\\n\\t\\tuniform float opacity;\\n\\n\\t\\tvoid main() {\\n\\t\\t\\tgl_FragColor = fragColor;\\n\\t\\t\\tgl_FragColor.a *= opacity;\\n\\t\\t}\\n\\t\\t\",uniforms:{range:t.prop(\"range\"),lineWidth:t.prop(\"lineWidth\"),capSize:t.prop(\"capSize\"),opacity:t.prop(\"opacity\"),scale:t.prop(\"scale\"),translate:t.prop(\"translate\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{color:{buffer:d,offset:function(t,e){return 4*e.offset},divisor:1},position:{buffer:c,offset:function(t,e){return 8*e.offset},divisor:1},positionFract:{buffer:p,offset:function(t,e){return 8*e.offset},divisor:1},error:{buffer:m,offset:function(t,e){return 16*e.offset},divisor:1},direction:{buffer:g,stride:24,offset:0},lineOffset:{buffer:g,stride:24,offset:8},capOffset:{buffer:g,stride:24,offset:16}},primitive:\"triangles\",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:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:!1,instances:t.prop(\"count\"),count:h.length}),s(b,{update:T,draw:_,destroy:k,regl:t,gl:v,canvas:v.canvas,groups:x}),b;function b(t){t?T(t):null===t&&k(),_()}function _(e){if(\"number\"==typeof e)return w(e);e&&!Array.isArray(e)&&(e=[e]),t._refresh(),x.forEach((function(t,r){t&&(e&&(e[r]?t.draw=!0:t.draw=!1),t.draw?w(r):t.draw=!0)}))}function w(t){\"number\"==typeof t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,c){var u=x[c];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},y,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:v.drawingBufferWidth,height:v.drawingBufferHeight},e}}]),u):u})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new 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))}})),c(u(g)),p(f(g)),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\":76,\"color-normalize\":131,\"flatten-vertex-data\":248,\"object-assign\":483,\"pick-by-alias\":494,\"to-float32\":595,\"update-diff\":617}],533:[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\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize: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 sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, 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 sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\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) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, 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},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var 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 join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],M={},A=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*A],P=y[2*A+1],M[S]=A):A=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in M||(M[d.count]=d.count-1);var I=Object.keys(M).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!=M[O[N]]&&(O[N]=M[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,q=U.length;V<q;V++)null!=M[U[V]]&&(U[V]=M[U[V]]);d.triangles=U}}var H=new Float64Array(y);u(H,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],d.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]),d.positionBuffer(h(G)),d.positionFractBuffer(p(G))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var Y=d.bounds,W=Y[2]-Y[0],X=Y[3]-Y[1],Z=d.range[2]-d.range[0],J=d.range[3]-d.range[1];d.scale=[W/Z,X/J],d.translate=[-d.range[0]/Z+Y[0]/Z||0,-d.range[1]/J+Y[1]/J||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var K,Q=0;if(!t.dashes||t.dashes.length<2)Q=1,K=new Uint8Array([255,255,255,255,255,255,255,255]);else{Q=0;for(var $=0;$<t.dashes.length;++$)Q+=t.dashes[$];K=new Uint8Array(Q*v.dashMult);for(var tt=0,et=255,rt=0;rt<2;rt++)for(var nt=0;nt<t.dashes.length;++nt){for(var it=0,at=t.dashes[nt]*v.dashMult*.5;it<at;++it)K[tt++]=et;et^=255}}d.dashLength=Q,d.dashTexture({channels:1,data:K,width:K.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var ot=d.count,st=t.color;st||(st=\"transparent\");var lt=new Uint8Array(4*ot+4);if(Array.isArray(st)&&\"number\"!=typeof st[0]){for(var ct=0;ct<ot;ct++){var ut=n(st[ct],\"uint8\");lt.set(ut,4*ct)}lt.set(n(st[0],\"uint8\"),4*ot)}else for(var ft=n(st,\"uint8\"),ht=0;ht<ot+1;ht++)lt.set(ft,4*ht);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:lt})}}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 this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":76,\"array-find-index\":77,\"array-normalize\":78,\"color-normalize\":131,earcut:182,\"es6-weak-map\":237,\"flatten-vertex-data\":248,glslify:438,\"object-assign\":483,\"parse-rect\":488,\"pick-by-alias\":494,\"to-float32\":595}],534:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{n||null==s.return||s.return()}finally{if(i)throw a}}return r}(t,e)||a(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||a(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),f=t(\"object-assign\"),h=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),m=t(\"flatten-vertex-data\"),g=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=g,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),f(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},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 e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=f({},o);s.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = 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 vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\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(palette,\\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;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\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 vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\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(palette,\\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)}return i({data:v.float(t),usage:\"dynamic\"}),a({data:v.fract(t),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,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,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\":76,\"color-id\":129,\"color-normalize\":131,\"flatten-vertex-data\":248,glslify:438,\"is-iexplorer\":450,\"object-assign\":483,\"parse-rect\":488,\"pick-by-alias\":494,\"to-float32\":595,\"update-diff\":617}],535:[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 M=f(s.id,T,k),A=this.passes[M]||(this.passes[M]={});if(o.data&&(o.transpose?A.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:A.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},A.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];A.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else A.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&&(A.color=s.color),o.size&&(A.size=s.size),o.marker&&(A.marker=s.marker),o.borderSize&&(A.borderSize=s.borderSize),o.borderColor&&(A.borderColor=s.borderColor),o.opacity&&(A.opacity=s.opacity),o.range&&(A.range=n?h(s.range,T,k):s.range||A.bounds),s.passes.push(M)}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 this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},{\"array-bounds\":76,\"array-range\":79,\"flatten-vertex-data\":248,\"parse-rect\":488,\"pick-by-alias\":494,raf:526,\"regl-scatter2d\":534}],536:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?e.exports=n():t.createREGL=n()}(this,(function(){function t(t,e){this.id=V++,this.type=t,this.data=e}function e(t){return\"[\"+function t(e){if(0===e.length)return[];var r=e.charAt(0),n=e.charAt(e.length-1);if(1<e.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+e.substr(1,e.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(e))return t(e.substr(0,r.index)).concat(t(r[1])).concat(t(e.substr(r.index+r[0].length)));if(1===(r=e.split(\".\")).length)return['\"'+e.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(e=[],n=0;n<r.length;++n)e=e.concat(t(r[n]));return e}(t).join(\"][\")+\"]\"}function r(t){return\"string\"==typeof t?t.split():t}function n(t){return\"string\"==typeof t?document.querySelector(t):t}function i(t){var e,i,a,o,s=t||{};t={};var l=[],c=[],u=\"undefined\"==typeof window?1:window.devicePixelRatio,f=!1,h=function(t){},p=function(){};if(\"string\"==typeof s?e=document.querySelector(s):\"object\"==typeof s&&(\"string\"==typeof s.nodeName&&\"function\"==typeof s.appendChild&&\"function\"==typeof s.getBoundingClientRect?e=s:\"function\"==typeof s.drawArrays||\"function\"==typeof s.drawElements?a=(o=s).canvas:(\"gl\"in s?o=s.gl:\"canvas\"in s?a=n(s.canvas):\"container\"in s&&(i=n(s.container)),\"attributes\"in s&&(t=s.attributes),\"extensions\"in s&&(l=r(s.extensions)),\"optionalExtensions\"in s&&(c=r(s.optionalExtensions)),\"onDone\"in s&&(h=s.onDone),\"profile\"in s&&(f=!!s.profile),\"pixelRatio\"in s&&(u=+s.pixelRatio))),e&&(\"canvas\"===e.nodeName.toLowerCase()?a=e:i=e),!o){if(!a){if(!(e=function(t,e,r){function n(){var e=window.innerWidth,n=window.innerHeight;t!==document.body&&(e=(n=t.getBoundingClientRect()).right-n.left,n=n.bottom-n.top),a.width=r*e,a.height=r*n,U(a.style,{width:e+\"px\",height:n+\"px\"})}var i,a=document.createElement(\"canvas\");return U(a.style,{border:0,margin:0,padding:0,top:0,left:0}),t.appendChild(a),t===document.body&&(a.style.position=\"absolute\",U(t.style,{margin:0,padding:0})),t!==document.body&&\"function\"==typeof ResizeObserver?(i=new ResizeObserver((function(){setTimeout(n)}))).observe(t):window.addEventListener(\"resize\",n,!1),n(),{canvas:a,onDestroy:function(){i?i.disconnect():window.removeEventListener(\"resize\",n),t.removeChild(a)}}}(i||document.body,0,u)))return null;a=e.canvas,p=e.onDestroy}void 0===t.premultipliedAlpha&&(t.premultipliedAlpha=!0),o=function(t,e){function r(r){try{return t.getContext(r,e)}catch(t){return null}}return r(\"webgl\")||r(\"experimental-webgl\")||r(\"webgl-experimental\")}(a,t)}return o?{gl:o,canvas:a,container:i,extensions:l,optionalExtensions:c,pixelRatio:u,profile:f,onDone:h,onDestroy:p}:(p(),h(\"webgl not supported, try upgrading your browser or graphics drivers http://get.webgl.org\"),null)}function a(t,e){for(var r=Array(t),n=0;n<t;++n)r[n]=e(n);return r}function o(t){var e,r;return e=(65535<t)<<4,e|=r=(255<(t>>>=e))<<3,(e|=r=(15<(t>>>=r))<<2)|(r=(3<(t>>>=r))<<1)|t>>>r>>1}function s(){function t(t){t:{for(var e=16;268435456>=e;e*=16)if(t<=e){t=e;break t}t=0}return 0<(e=r[o(t)>>2]).length?e.pop():new ArrayBuffer(t)}function e(t){r[o(t.byteLength)>>2].push(t)}var r=a(8,(function(){return[]}));return{alloc:t,free:e,allocType:function(e,r){var n=null;switch(e){case 5120:n=new Int8Array(t(r),0,r);break;case 5121:n=new Uint8Array(t(r),0,r);break;case 5122:n=new Int16Array(t(2*r),0,r);break;case 5123:n=new Uint16Array(t(2*r),0,r);break;case 5124:n=new Int32Array(t(4*r),0,r);break;case 5125:n=new Uint32Array(t(4*r),0,r);break;case 5126:n=new Float32Array(t(4*r),0,r);break;default:return null}return n.length!==r?n.subarray(0,r):n},freeType:function(t){e(t.buffer)}}}function l(t){return!!t&&\"object\"==typeof t&&Array.isArray(t.shape)&&Array.isArray(t.stride)&&\"number\"==typeof t.offset&&t.shape.length===t.stride.length&&(Array.isArray(t.data)||X(t.data))}function c(t,e,r,n,i,a){for(var o=0;o<e;++o)for(var s=t[o],l=0;l<r;++l)for(var c=s[l],u=0;u<n;++u)i[a++]=c[u]}function u(t){return 0|K[Object.prototype.toString.call(t)]}function f(t,e){for(var r=0;r<e.length;++r)t[r]=e[r]}function h(t,e,r,n,i,a,o){for(var s=0,l=0;l<r;++l)for(var c=0;c<n;++c)t[s++]=e[i*l+a*c+o]}function p(t,e,r,n){function i(e){this.id=c++,this.buffer=t.createBuffer(),this.type=e,this.usage=35044,this.byteLength=0,this.dimension=1,this.dtype=5121,this.persistentData=null,r.profile&&(this.stats={size:0})}function a(e,r,n){e.byteLength=r.byteLength,t.bufferData(e.type,r,n)}function o(t,e,r,n,i,o){if(t.usage=r,Array.isArray(e)){if(t.dtype=n||5126,0<e.length)if(Array.isArray(e[0])){i=et(e);for(var s=n=1;s<i.length;++s)n*=i[s];t.dimension=n,a(t,e=tt(e,i,t.dtype),r),o?t.persistentData=e:Y.freeType(e)}else\"number\"==typeof e[0]?(t.dimension=i,f(i=Y.allocType(t.dtype,e.length),e),a(t,i,r),o?t.persistentData=i:Y.freeType(i)):X(e[0])&&(t.dimension=e[0].length,t.dtype=n||u(e[0])||5126,a(t,e=tt(e,[e.length,e[0].length],t.dtype),r),o?t.persistentData=e:Y.freeType(e))}else if(X(e))t.dtype=n||u(e),t.dimension=i,a(t,e,r),o&&(t.persistentData=new Uint8Array(new Uint8Array(e.buffer)));else if(l(e)){i=e.shape;var c=e.stride,p=(s=e.offset,0),d=0,m=0,g=0;1===i.length?(p=i[0],d=1,m=c[0],g=0):2===i.length&&(p=i[0],d=i[1],m=c[0],g=c[1]),t.dtype=n||u(e.data)||5126,t.dimension=d,h(i=Y.allocType(t.dtype,p*d),e.data,p,d,m,g,s),a(t,i,r),o?t.persistentData=i:Y.freeType(i)}else e instanceof ArrayBuffer&&(t.dtype=5121,t.dimension=i,a(t,e,r),o&&(t.persistentData=new Uint8Array(new Uint8Array(e))))}function s(r){e.bufferCount--,n(r),t.deleteBuffer(r.buffer),r.buffer=null,delete p[r.id]}var c=0,p={};i.prototype.bind=function(){t.bindBuffer(this.type,this.buffer)},i.prototype.destroy=function(){s(this)};var d=[];return r.profile&&(e.getTotalBufferSize=function(){var t=0;return Object.keys(p).forEach((function(e){t+=p[e].stats.size})),t}),{create:function(n,a,c,d){function m(e){var n=35044,i=null,a=0,s=0,c=1;return Array.isArray(e)||X(e)||l(e)||e instanceof ArrayBuffer?i=e:\"number\"==typeof e?a=0|e:e&&(\"data\"in e&&(i=e.data),\"usage\"in e&&(n=$[e.usage]),\"type\"in e&&(s=Q[e.type]),\"dimension\"in e&&(c=0|e.dimension),\"length\"in e&&(a=0|e.length)),g.bind(),i?o(g,i,n,s,c,d):(a&&t.bufferData(g.type,a,n),g.dtype=s||5121,g.usage=n,g.dimension=c,g.byteLength=a),r.profile&&(g.stats.size=g.byteLength*rt[g.dtype]),m}e.bufferCount++;var g=new i(a);return p[g.id]=g,c||m(n),m._reglType=\"buffer\",m._buffer=g,m.subdata=function(e,r){var n,i=0|(r||0);if(g.bind(),X(e)||e instanceof ArrayBuffer)t.bufferSubData(g.type,i,e);else if(Array.isArray(e)){if(0<e.length)if(\"number\"==typeof e[0]){var a=Y.allocType(g.dtype,e.length);f(a,e),t.bufferSubData(g.type,i,a),Y.freeType(a)}else(Array.isArray(e[0])||X(e[0]))&&(n=et(e),a=tt(e,n,g.dtype),t.bufferSubData(g.type,i,a),Y.freeType(a))}else if(l(e)){n=e.shape;var o=e.stride,s=a=0,c=0,p=0;1===n.length?(a=n[0],s=1,c=o[0],p=0):2===n.length&&(a=n[0],s=n[1],c=o[0],p=o[1]),n=Array.isArray(e.data)?g.dtype:u(e.data),h(n=Y.allocType(n,a*s),e.data,a,s,c,p,e.offset),t.bufferSubData(g.type,i,n),Y.freeType(n)}return m},r.profile&&(m.stats=g.stats),m.destroy=function(){s(g)},m},createStream:function(t,e){var r=d.pop();return r||(r=new i(t)),r.bind(),o(r,e,35040,0,1,!1),r},destroyStream:function(t){d.push(t)},clear:function(){Z(p).forEach(s),d.forEach(s)},getBuffer:function(t){return t&&t._buffer instanceof i?t._buffer:null},restore:function(){Z(p).forEach((function(e){e.buffer=t.createBuffer(),t.bindBuffer(e.type,e.buffer),t.bufferData(e.type,e.persistentData||e.byteLength,e.usage)}))},_initBuffer:o}}function d(t,e,r,n){function i(t){this.id=c++,s[this.id]=this,this.buffer=t,this.primType=4,this.type=this.vertCount=0}function a(n,i,a,o,s,c,u){var f;if(n.buffer.bind(),i?((f=u)||X(i)&&(!l(i)||X(i.data))||(f=e.oes_element_index_uint?5125:5123),r._initBuffer(n.buffer,i,a,f,3)):(t.bufferData(34963,c,a),n.buffer.dtype=f||5121,n.buffer.usage=a,n.buffer.dimension=3,n.buffer.byteLength=c),f=u,!u){switch(n.buffer.dtype){case 5121:case 5120:f=5121;break;case 5123:case 5122:f=5123;break;case 5125:case 5124:f=5125}n.buffer.dtype=f}n.type=f,0>(i=s)&&(i=n.buffer.byteLength,5123===f?i>>=1:5125===f&&(i>>=2)),n.vertCount=i,i=o,0>o&&(i=4,1===(o=n.buffer.dimension)&&(i=0),2===o&&(i=1),3===o&&(i=4)),n.primType=i}function o(t){n.elementsCount--,delete s[t.id],t.buffer.destroy(),t.buffer=null}var s={},c=0,u={uint8:5121,uint16:5123};e.oes_element_index_uint&&(u.uint32=5125),i.prototype.bind=function(){this.buffer.bind()};var f=[];return{create:function(t,e){function s(t){if(t)if(\"number\"==typeof t)c(t),f.primType=4,f.vertCount=0|t,f.type=5121;else{var e=null,r=35044,n=-1,i=-1,o=0,h=0;Array.isArray(t)||X(t)||l(t)?e=t:(\"data\"in t&&(e=t.data),\"usage\"in t&&(r=$[t.usage]),\"primitive\"in t&&(n=nt[t.primitive]),\"count\"in t&&(i=0|t.count),\"type\"in t&&(h=u[t.type]),\"length\"in t?o=0|t.length:(o=i,5123===h||5122===h?o*=2:5125!==h&&5124!==h||(o*=4))),a(f,e,r,n,i,o,h)}else c(),f.primType=4,f.vertCount=0,f.type=5121;return s}var c=r.create(null,34963,!0),f=new i(c._buffer);return n.elementsCount++,s(t),s._reglType=\"elements\",s._elements=f,s.subdata=function(t,e){return c.subdata(t,e),s},s.destroy=function(){o(f)},s},createStream:function(t){var e=f.pop();return e||(e=new i(r.create(null,34963,!0,!1)._buffer)),a(e,t,35040,-1,-1,0,0),e},destroyStream:function(t){f.push(t)},getElements:function(t){return\"function\"==typeof t&&t._elements instanceof i?t._elements:null},clear:function(){Z(s).forEach(o)}}}function m(t){for(var e=Y.allocType(5123,t.length),r=0;r<t.length;++r)if(isNaN(t[r]))e[r]=65535;else if(1/0===t[r])e[r]=31744;else if(-1/0===t[r])e[r]=64512;else{it[0]=t[r];var n=(a=at[0])>>>31<<15,i=(a<<1>>>24)-127,a=a>>13&1023;e[r]=-24>i?n:-14>i?n+(a+1024>>-14-i):15<i?n+31744:n+(i+15<<10)+a}return e}function g(t){return Array.isArray(t)||X(t)}function v(t){return\"[object \"+t+\"]\"}function y(t){return Array.isArray(t)&&(0===t.length||\"number\"==typeof t[0])}function x(t){return!(!Array.isArray(t)||0===t.length||!g(t[0]))}function b(t){return Object.prototype.toString.call(t)}function _(t){if(!t)return!1;var e=b(t);return 0<=mt.indexOf(e)||(y(t)||x(t)||l(t))}function w(t,e){36193===t.type?(t.data=m(e),Y.freeType(e)):t.data=e}function T(t,e,r,n,i,a){if(t=void 0!==vt[t]?vt[t]:lt[t]*gt[e],a&&(t*=6),i){for(n=0;1<=r;)n+=t*r*r,r/=2;return n}return t*r*n}function k(t,e,r,n,i,a,o){function s(){this.format=this.internalformat=6408,this.type=5121,this.flipY=this.premultiplyAlpha=this.compressed=!1,this.unpackAlignment=1,this.colorSpace=37444,this.channels=this.height=this.width=0}function c(t,e){t.internalformat=e.internalformat,t.format=e.format,t.type=e.type,t.compressed=e.compressed,t.premultiplyAlpha=e.premultiplyAlpha,t.flipY=e.flipY,t.unpackAlignment=e.unpackAlignment,t.colorSpace=e.colorSpace,t.width=e.width,t.height=e.height,t.channels=e.channels}function u(t,e){if(\"object\"==typeof e&&e){\"premultiplyAlpha\"in e&&(t.premultiplyAlpha=e.premultiplyAlpha),\"flipY\"in e&&(t.flipY=e.flipY),\"alignment\"in e&&(t.unpackAlignment=e.alignment),\"colorSpace\"in e&&(t.colorSpace=q[e.colorSpace]),\"type\"in e&&(t.type=H[e.type]);var r=t.width,n=t.height,i=t.channels,a=!1;\"shape\"in e?(r=e.shape[0],n=e.shape[1],3===e.shape.length&&(i=e.shape[2],a=!0)):(\"radius\"in e&&(r=n=e.radius),\"width\"in e&&(r=e.width),\"height\"in e&&(n=e.height),\"channels\"in e&&(i=e.channels,a=!0)),t.width=0|r,t.height=0|n,t.channels=0|i,r=!1,\"format\"in e&&(r=e.format,n=t.internalformat=G[r],t.format=at[n],r in H&&!(\"type\"in e)&&(t.type=H[r]),r in W&&(t.compressed=!0),r=!0),!a&&r?t.channels=lt[t.format]:a&&!r&&t.channels!==st[t.format]&&(t.format=t.internalformat=st[t.channels])}}function f(e){t.pixelStorei(37440,e.flipY),t.pixelStorei(37441,e.premultiplyAlpha),t.pixelStorei(37443,e.colorSpace),t.pixelStorei(3317,e.unpackAlignment)}function h(){s.call(this),this.yOffset=this.xOffset=0,this.data=null,this.needsFree=!1,this.element=null,this.needsCopy=!1}function p(t,e){var r=null;if(_(e)?r=e:e&&(u(t,e),\"x\"in e&&(t.xOffset=0|e.x),\"y\"in e&&(t.yOffset=0|e.y),_(e.data)&&(r=e.data)),e.copy){var n=i.viewportWidth,a=i.viewportHeight;t.width=t.width||n-t.xOffset,t.height=t.height||a-t.yOffset,t.needsCopy=!0}else if(r){if(X(r))t.channels=t.channels||4,t.data=r,\"type\"in e||5121!==t.type||(t.type=0|K[Object.prototype.toString.call(r)]);else if(y(r)){switch(t.channels=t.channels||4,a=(n=r).length,t.type){case 5121:case 5123:case 5125:case 5126:(a=Y.allocType(t.type,a)).set(n),t.data=a;break;case 36193:t.data=m(n)}t.alignment=1,t.needsFree=!0}else if(l(r)){n=r.data,Array.isArray(n)||5121!==t.type||(t.type=0|K[Object.prototype.toString.call(n)]);a=r.shape;var o,s,c,f,h=r.stride;3===a.length?(c=a[2],f=h[2]):f=c=1,o=a[0],s=a[1],a=h[0],h=h[1],t.alignment=1,t.width=o,t.height=s,t.channels=c,t.format=t.internalformat=st[c],t.needsFree=!0,o=f,r=r.offset,c=t.width,f=t.height,s=t.channels;for(var p=Y.allocType(36193===t.type?5126:t.type,c*f*s),d=0,v=0;v<f;++v)for(var T=0;T<c;++T)for(var k=0;k<s;++k)p[d++]=n[a*T+h*v+o*k+r];w(t,p)}else if(b(r)===ct||b(r)===ut||b(r)===ft)b(r)===ct||b(r)===ut?t.element=r:t.element=r.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(b(r)===ht)t.element=r,t.width=r.width,t.height=r.height,t.channels=4;else if(b(r)===pt)t.element=r,t.width=r.naturalWidth,t.height=r.naturalHeight,t.channels=4;else if(b(r)===dt)t.element=r,t.width=r.videoWidth,t.height=r.videoHeight,t.channels=4;else if(x(r)){for(n=t.width||r[0].length,a=t.height||r.length,h=t.channels,h=g(r[0][0])?h||r[0][0].length:h||1,o=J.shape(r),c=1,f=0;f<o.length;++f)c*=o[f];c=Y.allocType(36193===t.type?5126:t.type,c),J.flatten(r,o,\"\",c),w(t,c),t.alignment=1,t.width=n,t.height=a,t.channels=h,t.format=t.internalformat=st[h],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4}function d(e,r,i,a,o){var s=e.element,l=e.data,c=e.internalformat,u=e.format,h=e.type,p=e.width,d=e.height;f(e),s?t.texSubImage2D(r,o,i,a,u,h,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,c,p,d,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,p,d)):t.texSubImage2D(r,o,i,a,p,d,u,h,l)}function v(){return mt.pop()||new h}function k(t){t.needsFree&&Y.freeType(t.data),h.call(t),mt.push(t)}function M(){s.call(this),this.genMipmaps=!1,this.mipmapHint=4352,this.mipmask=0,this.images=Array(16)}function A(t,e,r){var n=t.images[0]=v();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function S(t,e){var r=null;if(_(e))c(r=t.images[0]=v(),t),p(r,e),t.mipmask=1;else if(u(t,e),Array.isArray(e.mipmap))for(var n=e.mipmap,i=0;i<n.length;++i)c(r=t.images[i]=v(),t),r.width>>=i,r.height>>=i,p(r,n[i]),t.mipmask|=1<<i;else c(r=t.images[0]=v(),t),p(r,e),t.mipmask=1;c(t,t.images[0])}function E(e,r){for(var i=e.images,a=0;a<i.length&&i[a];++a){var o=i[a],s=r,l=a,c=o.element,u=o.data,h=o.internalformat,p=o.format,d=o.type,m=o.width,g=o.height;f(o),c?t.texImage2D(s,l,p,p,d,c):o.compressed?t.compressedTexImage2D(s,l,h,m,g,0,u):o.needsCopy?(n(),t.copyTexImage2D(s,l,p,o.xOffset,o.yOffset,m,g,0)):t.texImage2D(s,l,p,m,g,0,p,d,u||null)}}function L(){var t=gt.pop()||new M;s.call(t);for(var e=t.mipmask=0;16>e;++e)t.images[e]=null;return t}function C(t){for(var e=t.images,r=0;r<e.length;++r)e[r]&&k(e[r]),e[r]=null;gt.push(t)}function P(){this.magFilter=this.minFilter=9728,this.wrapT=this.wrapS=33071,this.anisotropic=1,this.genMipmaps=!1,this.mipmapHint=4352}function I(t,e){\"min\"in e&&(t.minFilter=V[e.min],0<=ot.indexOf(t.minFilter)&&!(\"faces\"in e)&&(t.genMipmaps=!0)),\"mag\"in e&&(t.magFilter=j[e.mag]);var r=t.wrapS,n=t.wrapT;if(\"wrap\"in e){var i=e.wrap;\"string\"==typeof i?r=n=N[i]:Array.isArray(i)&&(r=N[i[0]],n=N[i[1]])}else\"wrapS\"in e&&(r=N[e.wrapS]),\"wrapT\"in e&&(n=N[e.wrapT]);if(t.wrapS=r,t.wrapT=n,\"anisotropic\"in e&&(t.anisotropic=e.anisotropic),\"mipmap\"in e){switch(r=!1,typeof e.mipmap){case\"string\":t.mipmapHint=B[e.mipmap],r=t.genMipmaps=!0;break;case\"boolean\":r=t.genMipmaps=e.mipmap;break;case\"object\":t.genMipmaps=!1,r=!0}!r||\"min\"in e||(t.minFilter=9984)}}function O(r,n){t.texParameteri(n,10241,r.minFilter),t.texParameteri(n,10240,r.magFilter),t.texParameteri(n,10242,r.wrapS),t.texParameteri(n,10243,r.wrapT),e.ext_texture_filter_anisotropic&&t.texParameteri(n,34046,r.anisotropic),r.genMipmaps&&(t.hint(33170,r.mipmapHint),t.generateMipmap(n))}function z(e){s.call(this),this.mipmask=0,this.internalformat=6408,this.id=vt++,this.refCount=1,this.target=e,this.texture=t.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new P,o.profile&&(this.stats={size:0})}function D(e){t.activeTexture(33984),t.bindTexture(e.target,e.texture)}function R(){var e=bt[0];e?t.bindTexture(e.target,e.texture):t.bindTexture(3553,null)}function F(e){var r=e.texture,n=e.unit,i=e.target;0<=n&&(t.activeTexture(33984+n),t.bindTexture(i,null),bt[n]=null),t.deleteTexture(r),e.texture=null,e.params=null,e.pixels=null,e.refCount=0,delete yt[e.id],a.textureCount--}var B={\"don't care\":4352,\"dont care\":4352,nice:4354,fast:4353},N={repeat:10497,clamp:33071,mirror:33648},j={nearest:9728,linear:9729},V=U({mipmap:9987,\"nearest mipmap nearest\":9984,\"linear mipmap nearest\":9985,\"nearest mipmap linear\":9986,\"linear mipmap linear\":9987},j),q={none:0,browser:37444},H={uint8:5121,rgba4:32819,rgb565:33635,\"rgb5 a1\":32820},G={alpha:6406,luminance:6409,\"luminance alpha\":6410,rgb:6407,rgba:6408,rgba4:32854,\"rgb5 a1\":32855,rgb565:36194},W={};e.ext_srgb&&(G.srgb=35904,G.srgba=35906),e.oes_texture_float&&(H.float32=H.float=5126),e.oes_texture_half_float&&(H.float16=H[\"half float\"]=36193),e.webgl_depth_texture&&(U(G,{depth:6402,\"depth stencil\":34041}),U(H,{uint16:5123,uint32:5125,\"depth stencil\":34042})),e.webgl_compressed_texture_s3tc&&U(W,{\"rgb s3tc dxt1\":33776,\"rgba s3tc dxt1\":33777,\"rgba s3tc dxt3\":33778,\"rgba s3tc dxt5\":33779}),e.webgl_compressed_texture_atc&&U(W,{\"rgb atc\":35986,\"rgba atc explicit alpha\":35987,\"rgba atc interpolated alpha\":34798}),e.webgl_compressed_texture_pvrtc&&U(W,{\"rgb pvrtc 4bppv1\":35840,\"rgb pvrtc 2bppv1\":35841,\"rgba pvrtc 4bppv1\":35842,\"rgba pvrtc 2bppv1\":35843}),e.webgl_compressed_texture_etc1&&(W[\"rgb etc1\"]=36196);var Q=Array.prototype.slice.call(t.getParameter(34467));Object.keys(W).forEach((function(t){var e=W[t];0<=Q.indexOf(e)&&(G[t]=e)}));var $=Object.keys(G);r.textureFormats=$;var tt=[];Object.keys(G).forEach((function(t){tt[G[t]]=t}));var et=[];Object.keys(H).forEach((function(t){et[H[t]]=t}));var rt=[];Object.keys(j).forEach((function(t){rt[j[t]]=t}));var nt=[];Object.keys(V).forEach((function(t){nt[V[t]]=t}));var it=[];Object.keys(N).forEach((function(t){it[N[t]]=t}));var at=$.reduce((function(t,r){var n=G[r];return 6409===n||6406===n||6409===n||6410===n||6402===n||34041===n||e.ext_srgb&&(35904===n||35906===n)?t[n]=n:32855===n||0<=r.indexOf(\"rgba\")?t[n]=6408:t[n]=6407,t}),{}),mt=[],gt=[],vt=0,yt={},xt=r.maxTextureUnits,bt=Array(xt).map((function(){return null}));return U(z.prototype,{bind:function(){this.bindCount+=1;var e=this.unit;if(0>e){for(var r=0;r<xt;++r){var n=bt[r];if(n){if(0<n.bindCount)continue;n.unit=-1}bt[r]=this,e=r;break}o.profile&&a.maxTextureUnits<e+1&&(a.maxTextureUnits=e+1),this.unit=e,t.activeTexture(33984+e),t.bindTexture(this.target,this.texture)}return e},unbind:function(){--this.bindCount},decRef:function(){0>=--this.refCount&&F(this)}}),o.profile&&(a.getTotalTextureSize=function(){var t=0;return Object.keys(yt).forEach((function(e){t+=yt[e].stats.size})),t}),{create2D:function(e,r){function n(t,e){var r=i.texInfo;P.call(r);var a=L();return\"number\"==typeof t?A(a,0|t,\"number\"==typeof e?0|e:0|t):t?(I(r,t),S(a,t)):A(a,1,1),r.genMipmaps&&(a.mipmask=(a.width<<1)-1),i.mipmask=a.mipmask,c(i,a),i.internalformat=a.internalformat,n.width=a.width,n.height=a.height,D(i),E(a,3553),O(r,3553),R(),C(a),o.profile&&(i.stats.size=T(i.internalformat,i.type,a.width,a.height,r.genMipmaps,!1)),n.format=tt[i.internalformat],n.type=et[i.type],n.mag=rt[r.magFilter],n.min=nt[r.minFilter],n.wrapS=it[r.wrapS],n.wrapT=it[r.wrapT],n}var i=new z(3553);return yt[i.id]=i,a.textureCount++,n(e,r),n.subimage=function(t,e,r,a){e|=0,r|=0,a|=0;var o=v();return c(o,i),o.width=0,o.height=0,p(o,t),o.width=o.width||(i.width>>a)-e,o.height=o.height||(i.height>>a)-r,D(i),d(o,3553,e,r,a),R(),k(o),n},n.resize=function(e,r){var a=0|e,s=0|r||a;if(a===i.width&&s===i.height)return n;n.width=i.width=a,n.height=i.height=s,D(i);for(var l=0;i.mipmask>>l;++l){var c=a>>l,u=s>>l;if(!c||!u)break;t.texImage2D(3553,l,i.format,c,u,0,i.format,i.type,null)}return R(),o.profile&&(i.stats.size=T(i.internalformat,i.type,a,s,!1,!1)),n},n._reglType=\"texture2d\",n._texture=i,o.profile&&(n.stats=i.stats),n.destroy=function(){i.decRef()},n},createCube:function(e,r,n,i,s,l){function f(t,e,r,n,i,a){var s,l=h.texInfo;for(P.call(l),s=0;6>s;++s)m[s]=L();if(\"number\"!=typeof t&&t){if(\"object\"==typeof t)if(e)S(m[0],t),S(m[1],e),S(m[2],r),S(m[3],n),S(m[4],i),S(m[5],a);else if(I(l,t),u(h,t),\"faces\"in t)for(t=t.faces,s=0;6>s;++s)c(m[s],h),S(m[s],t[s]);else for(s=0;6>s;++s)S(m[s],t)}else for(t=0|t||1,s=0;6>s;++s)A(m[s],t,t);for(c(h,m[0]),h.mipmask=l.genMipmaps?(m[0].width<<1)-1:m[0].mipmask,h.internalformat=m[0].internalformat,f.width=m[0].width,f.height=m[0].height,D(h),s=0;6>s;++s)E(m[s],34069+s);for(O(l,34067),R(),o.profile&&(h.stats.size=T(h.internalformat,h.type,f.width,f.height,l.genMipmaps,!0)),f.format=tt[h.internalformat],f.type=et[h.type],f.mag=rt[l.magFilter],f.min=nt[l.minFilter],f.wrapS=it[l.wrapS],f.wrapT=it[l.wrapT],s=0;6>s;++s)C(m[s]);return f}var h=new z(34067);yt[h.id]=h,a.cubeCount++;var m=Array(6);return f(e,r,n,i,s,l),f.subimage=function(t,e,r,n,i){r|=0,n|=0,i|=0;var a=v();return c(a,h),a.width=0,a.height=0,p(a,e),a.width=a.width||(h.width>>i)-r,a.height=a.height||(h.height>>i)-n,D(h),d(a,34069+t,r,n,i),R(),k(a),f},f.resize=function(e){if((e|=0)!==h.width){f.width=h.width=e,f.height=h.height=e,D(h);for(var r=0;6>r;++r)for(var n=0;h.mipmask>>n;++n)t.texImage2D(34069+r,n,h.format,e>>n,e>>n,0,h.format,h.type,null);return R(),o.profile&&(h.stats.size=T(h.internalformat,h.type,f.width,f.height,!1,!0)),f}},f._reglType=\"textureCube\",f._texture=h,o.profile&&(f.stats=h.stats),f.destroy=function(){h.decRef()},f},clear:function(){for(var e=0;e<xt;++e)t.activeTexture(33984+e),t.bindTexture(3553,null),bt[e]=null;Z(yt).forEach(F),a.cubeCount=0,a.textureCount=0},getTexture:function(t){return null},restore:function(){for(var e=0;e<xt;++e){var r=bt[e];r&&(r.bindCount=0,r.unit=-1,bt[e]=null)}Z(yt).forEach((function(e){e.texture=t.createTexture(),t.bindTexture(e.target,e.texture);for(var r=0;32>r;++r)if(0!=(e.mipmask&1<<r))if(3553===e.target)t.texImage2D(3553,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;6>n;++n)t.texImage2D(34069+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);O(e.texInfo,e.target)}))}}}function M(t,e,r,n,i,a){function o(t,e,r){this.target=t,this.texture=e,this.renderbuffer=r;var n=t=0;e?(t=e.width,n=e.height):r&&(t=r.width,n=r.height),this.width=t,this.height=n}function s(t){t&&(t.texture&&t.texture._texture.decRef(),t.renderbuffer&&t.renderbuffer._renderbuffer.decRef())}function l(t,e,r){t&&(t.texture?t.texture._texture.refCount+=1:t.renderbuffer._renderbuffer.refCount+=1)}function c(e,r){r&&(r.texture?t.framebufferTexture2D(36160,e,r.target,r.texture._texture.texture,0):t.framebufferRenderbuffer(36160,e,36161,r.renderbuffer._renderbuffer.renderbuffer))}function u(t){var e=3553,r=null,n=null,i=t;return\"object\"==typeof t&&(i=t.data,\"target\"in t&&(e=0|t.target)),\"texture2d\"===(t=i._reglType)||\"textureCube\"===t?r=i:\"renderbuffer\"===t&&(n=i,e=36161),new o(e,r,n)}function f(t,e,r,a,s){return r?((t=n.create2D({width:t,height:e,format:a,type:s}))._texture.refCount=0,new o(3553,t,null)):((t=i.create({width:t,height:e,format:a}))._renderbuffer.refCount=0,new o(36161,null,t))}function h(t){return t&&(t.texture||t.renderbuffer)}function p(t,e,r){t&&(t.texture?t.texture.resize(e,r):t.renderbuffer&&t.renderbuffer.resize(e,r),t.width=e,t.height=r)}function d(){this.id=T++,k[this.id]=this,this.framebuffer=t.createFramebuffer(),this.height=this.width=0,this.colorAttachments=[],this.depthStencilAttachment=this.stencilAttachment=this.depthAttachment=null}function m(t){t.colorAttachments.forEach(s),s(t.depthAttachment),s(t.stencilAttachment),s(t.depthStencilAttachment)}function g(e){t.deleteFramebuffer(e.framebuffer),e.framebuffer=null,a.framebufferCount--,delete k[e.id]}function v(e){var n;t.bindFramebuffer(36160,e.framebuffer);var i=e.colorAttachments;for(n=0;n<i.length;++n)c(36064+n,i[n]);for(n=i.length;n<r.maxColorAttachments;++n)t.framebufferTexture2D(36160,36064+n,3553,null,0);t.framebufferTexture2D(36160,33306,3553,null,0),t.framebufferTexture2D(36160,36096,3553,null,0),t.framebufferTexture2D(36160,36128,3553,null,0),c(36096,e.depthAttachment),c(36128,e.stencilAttachment),c(33306,e.depthStencilAttachment),t.checkFramebufferStatus(36160),t.isContextLost(),t.bindFramebuffer(36160,x.next?x.next.framebuffer:null),x.cur=x.next,t.getError()}function y(t,e){function r(t,e){var i,a=0,o=0,s=!0,c=!0;i=null;var p=!0,d=\"rgba\",g=\"uint8\",y=1,x=null,w=null,T=null,k=!1;\"number\"==typeof t?(a=0|t,o=0|e||a):t?(\"shape\"in t?(a=(o=t.shape)[0],o=o[1]):(\"radius\"in t&&(a=o=t.radius),\"width\"in t&&(a=t.width),\"height\"in t&&(o=t.height)),(\"color\"in t||\"colors\"in t)&&(i=t.color||t.colors,Array.isArray(i)),i||(\"colorCount\"in t&&(y=0|t.colorCount),\"colorTexture\"in t&&(p=!!t.colorTexture,d=\"rgba4\"),\"colorType\"in t&&(g=t.colorType,!p)&&(\"half float\"===g||\"float16\"===g?d=\"rgba16f\":\"float\"!==g&&\"float32\"!==g||(d=\"rgba32f\")),\"colorFormat\"in t&&(d=t.colorFormat,0<=b.indexOf(d)?p=!0:0<=_.indexOf(d)&&(p=!1))),(\"depthTexture\"in t||\"depthStencilTexture\"in t)&&(k=!(!t.depthTexture&&!t.depthStencilTexture)),\"depth\"in t&&(\"boolean\"==typeof t.depth?s=t.depth:(x=t.depth,c=!1)),\"stencil\"in t&&(\"boolean\"==typeof t.stencil?c=t.stencil:(w=t.stencil,s=!1)),\"depthStencil\"in t&&(\"boolean\"==typeof t.depthStencil?s=c=t.depthStencil:(T=t.depthStencil,c=s=!1))):a=o=1;var M=null,A=null,S=null,E=null;if(Array.isArray(i))M=i.map(u);else if(i)M=[u(i)];else for(M=Array(y),i=0;i<y;++i)M[i]=f(a,o,p,d,g);for(a=a||M[0].width,o=o||M[0].height,x?A=u(x):s&&!c&&(A=f(a,o,k,\"depth\",\"uint32\")),w?S=u(w):c&&!s&&(S=f(a,o,!1,\"stencil\",\"uint8\")),T?E=u(T):!x&&!w&&c&&s&&(E=f(a,o,k,\"depth stencil\",\"depth stencil\")),s=null,i=0;i<M.length;++i)l(M[i]),M[i]&&M[i].texture&&(c=bt[M[i].texture._texture.format]*_t[M[i].texture._texture.type],null===s&&(s=c));return l(A),l(S),l(E),m(n),n.width=a,n.height=o,n.colorAttachments=M,n.depthAttachment=A,n.stencilAttachment=S,n.depthStencilAttachment=E,r.color=M.map(h),r.depth=h(A),r.stencil=h(S),r.depthStencil=h(E),r.width=n.width,r.height=n.height,v(n),r}var n=new d;return a.framebufferCount++,r(t,e),U(r,{resize:function(t,e){var i=Math.max(0|t,1),a=Math.max(0|e||i,1);if(i===n.width&&a===n.height)return r;for(var o=n.colorAttachments,s=0;s<o.length;++s)p(o[s],i,a);return p(n.depthAttachment,i,a),p(n.stencilAttachment,i,a),p(n.depthStencilAttachment,i,a),n.width=r.width=i,n.height=r.height=a,v(n),r},_reglType:\"framebuffer\",_framebuffer:n,destroy:function(){g(n),m(n)},use:function(t){x.setFBO({framebuffer:r},t)}})}var x={cur:null,next:null,dirty:!1,setFBO:null},b=[\"rgba\"],_=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];e.ext_srgb&&_.push(\"srgba\"),e.ext_color_buffer_half_float&&_.push(\"rgba16f\",\"rgb16f\"),e.webgl_color_buffer_float&&_.push(\"rgba32f\");var w=[\"uint8\"];e.oes_texture_half_float&&w.push(\"half float\",\"float16\"),e.oes_texture_float&&w.push(\"float\",\"float32\");var T=0,k={};return U(x,{getFramebuffer:function(t){return\"function\"==typeof t&&\"framebuffer\"===t._reglType&&(t=t._framebuffer)instanceof d?t:null},create:y,createCube:function(t){function e(t){var i,a={color:null},o=0,s=null;i=\"rgba\";var l=\"uint8\",c=1;if(\"number\"==typeof t?o=0|t:t?(\"shape\"in t?o=t.shape[0]:(\"radius\"in t&&(o=0|t.radius),\"width\"in t?o=0|t.width:\"height\"in t&&(o=0|t.height)),(\"color\"in t||\"colors\"in t)&&(s=t.color||t.colors,Array.isArray(s)),s||(\"colorCount\"in t&&(c=0|t.colorCount),\"colorType\"in t&&(l=t.colorType),\"colorFormat\"in t&&(i=t.colorFormat)),\"depth\"in t&&(a.depth=t.depth),\"stencil\"in t&&(a.stencil=t.stencil),\"depthStencil\"in t&&(a.depthStencil=t.depthStencil)):o=1,s)if(Array.isArray(s))for(t=[],i=0;i<s.length;++i)t[i]=s[i];else t=[s];else for(t=Array(c),s={radius:o,format:i,type:l},i=0;i<c;++i)t[i]=n.createCube(s);for(a.color=Array(t.length),i=0;i<t.length;++i)c=t[i],o=o||c.width,a.color[i]={target:34069,data:t[i]};for(i=0;6>i;++i){for(c=0;c<t.length;++c)a.color[c].target=34069+i;0<i&&(a.depth=r[0].depth,a.stencil=r[0].stencil,a.depthStencil=r[0].depthStencil),r[i]?r[i](a):r[i]=y(a)}return U(e,{width:o,height:o,color:t})}var r=Array(6);return e(t),U(e,{faces:r,resize:function(t){var n=0|t;if(n===e.width)return e;var i=e.color;for(t=0;t<i.length;++t)i[t].resize(n);for(t=0;6>t;++t)r[t].resize(n);return e.width=e.height=n,e},_reglType:\"framebufferCube\",destroy:function(){r.forEach((function(t){t.destroy()}))}})},clear:function(){Z(k).forEach(g)},restore:function(){x.cur=null,x.next=null,x.dirty=!0,Z(k).forEach((function(e){e.framebuffer=t.createFramebuffer(),v(e)}))}})}function A(){this.w=this.z=this.y=this.x=this.state=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=5126,this.divisor=this.stride=this.offset=0}function S(t,e,r,n,i){function a(){this.id=++c,this.attributes=[];var t=e.oes_vertex_array_object;this.vao=t?t.createVertexArrayOES():null,u[this.id]=this,this.buffers=[]}var o=r.maxAttributes,s=Array(o);for(r=0;r<o;++r)s[r]=new A;var c=0,u={},f={Record:A,scope:{},state:s,currentVAO:null,targetVAO:null,restore:e.oes_vertex_array_object?function(){e.oes_vertex_array_object&&Z(u).forEach((function(t){t.refresh()}))}:function(){},createVAO:function(t){function e(t){for(var n=0;n<r.buffers.length;++n)r.buffers[n].destroy();r.buffers.length=0,(n=r.attributes).length=t.length;for(var a=0;a<t.length;++a){var o=t[a],s=n[a]=new A;Array.isArray(o)||X(o)||l(o)?(o=i.create(o,34962,!1,!0),s.buffer=i.getBuffer(o),s.size=0|s.buffer.dimension,s.normalized=!1,s.type=s.buffer.dtype,s.offset=0,s.stride=0,s.divisor=0,s.state=1,r.buffers.push(o)):i.getBuffer(o)?(s.buffer=i.getBuffer(o),s.size=0|s.buffer.dimension,s.normalized=!1,s.type=s.buffer.dtype,s.offset=0,s.stride=0,s.divisor=0,s.state=1):i.getBuffer(o.buffer)?(s.buffer=i.getBuffer(o.buffer),s.size=0|(+o.size||s.buffer.dimension),s.normalized=!!o.normalized||!1,s.type=\"type\"in o?Q[o.type]:s.buffer.dtype,s.offset=0|(o.offset||0),s.stride=0|(o.stride||0),s.divisor=0|(o.divisor||0),s.state=1):\"x\"in o&&(s.x=+o.x||0,s.y=+o.y||0,s.z=+o.z||0,s.w=+o.w||0,s.state=2)}return r.refresh(),e}var r=new a;return n.vaoCount+=1,e.destroy=function(){r.destroy()},e._vao=r,e._reglType=\"vao\",e(t)},getVAO:function(t){return\"function\"==typeof t&&t._vao?t._vao:null},destroyBuffer:function(e){for(var r=0;r<s.length;++r){var n=s[r];n.buffer===e&&(t.disableVertexAttribArray(r),n.buffer=null)}},setVAO:e.oes_vertex_array_object?function(t){if(t!==f.currentVAO){var r=e.oes_vertex_array_object;t?r.bindVertexArrayOES(t.vao):r.bindVertexArrayOES(null),f.currentVAO=t}}:function(r){if(r!==f.currentVAO){if(r)r.bindAttrs();else for(var n=e.angle_instanced_arrays,i=0;i<s.length;++i){var a=s[i];a.buffer?(t.enableVertexAttribArray(i),t.vertexAttribPointer(i,a.size,a.type,a.normalized,a.stride,a.offfset),n&&n.vertexAttribDivisorANGLE(i,a.divisor)):(t.disableVertexAttribArray(i),t.vertexAttrib4f(i,a.x,a.y,a.z,a.w))}f.currentVAO=r}},clear:e.oes_vertex_array_object?function(){Z(u).forEach((function(t){t.destroy()}))}:function(){}};return a.prototype.bindAttrs=function(){for(var r=e.angle_instanced_arrays,n=this.attributes,i=0;i<n.length;++i){var a=n[i];a.buffer?(t.enableVertexAttribArray(i),t.bindBuffer(34962,a.buffer.buffer),t.vertexAttribPointer(i,a.size,a.type,a.normalized,a.stride,a.offset),r&&r.vertexAttribDivisorANGLE(i,a.divisor)):(t.disableVertexAttribArray(i),t.vertexAttrib4f(i,a.x,a.y,a.z,a.w))}for(r=n.length;r<o;++r)t.disableVertexAttribArray(r)},a.prototype.refresh=function(){var t=e.oes_vertex_array_object;t&&(t.bindVertexArrayOES(this.vao),this.bindAttrs(),f.currentVAO=this)},a.prototype.destroy=function(){if(this.vao){var t=e.oes_vertex_array_object;this===f.currentVAO&&(f.currentVAO=null,t.bindVertexArrayOES(null)),t.deleteVertexArrayOES(this.vao),this.vao=null}u[this.id]&&(delete u[this.id],--n.vaoCount)},f}function E(t,e,r,n){function i(t,e,r,n){this.name=t,this.id=e,this.location=r,this.info=n}function a(t,e){for(var r=0;r<t.length;++r)if(t[r].id===e.id)return void(t[r].location=e.location);t.push(e)}function o(r,n,i){if(!(o=(i=35632===r?c:u)[n])){var a=e.str(n),o=t.createShader(r);t.shaderSource(o,a),t.compileShader(o),i[n]=o}return o}function s(t,e){this.id=p++,this.fragId=t,this.vertId=e,this.program=null,this.uniforms=[],this.attributes=[],n.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function l(r,s,l){var c;c=o(35632,r.fragId);var u=o(35633,r.vertId);if(s=r.program=t.createProgram(),t.attachShader(s,c),t.attachShader(s,u),l)for(c=0;c<l.length;++c)u=l[c],t.bindAttribLocation(s,u[0],u[1]);t.linkProgram(s),u=t.getProgramParameter(s,35718),n.profile&&(r.stats.uniformsCount=u);var f=r.uniforms;for(c=0;c<u;++c)if(l=t.getActiveUniform(s,c))if(1<l.size)for(var h=0;h<l.size;++h){var p=l.name.replace(\"[0]\",\"[\"+h+\"]\");a(f,new i(p,e.id(p),t.getUniformLocation(s,p),l))}else a(f,new i(l.name,e.id(l.name),t.getUniformLocation(s,l.name),l));for(u=t.getProgramParameter(s,35721),n.profile&&(r.stats.attributesCount=u),r=r.attributes,c=0;c<u;++c)(l=t.getActiveAttrib(s,c))&&a(r,new i(l.name,e.id(l.name),t.getAttribLocation(s,l.name),l))}var c={},u={},f={},h=[],p=0;return n.profile&&(r.getMaxUniformsCount=function(){var t=0;return h.forEach((function(e){e.stats.uniformsCount>t&&(t=e.stats.uniformsCount)})),t},r.getMaxAttributesCount=function(){var t=0;return h.forEach((function(e){e.stats.attributesCount>t&&(t=e.stats.attributesCount)})),t}),{clear:function(){var e=t.deleteShader.bind(t);Z(c).forEach(e),c={},Z(u).forEach(e),u={},h.forEach((function(e){t.deleteProgram(e.program)})),h.length=0,f={},r.shaderCount=0},program:function(t,e,n,i){var a=f[e];a||(a=f[e]={});var o=a[t];return o&&!i?o:(e=new s(e,t),r.shaderCount++,l(e,n,i),o||(a[t]=e),h.push(e),e)},restore:function(){c={},u={};for(var t=0;t<h.length;++t)l(h[t],null,h[t].attributes.map((function(t){return[t.location,t.name]})))},shader:o,frag:-1,vert:-1}}function L(t,e,r,n,i,a,o){function s(i){var a;a=null===e.next?5121:e.next.colorAttachments[0].texture._texture.type;var o=0,s=0,l=n.framebufferWidth,c=n.framebufferHeight,u=null;return X(i)?u=i:i&&(o=0|i.x,s=0|i.y,l=0|(i.width||n.framebufferWidth-o),c=0|(i.height||n.framebufferHeight-s),u=i.data||null),r(),i=l*c*4,u||(5121===a?u=new Uint8Array(i):5126===a&&(u=u||new Float32Array(i))),t.pixelStorei(3333,4),t.readPixels(o,s,l,c,6408,a,u),u}return function(t){return t&&\"framebuffer\"in t?function(t){var r;return e.setFBO({framebuffer:t.framebuffer},(function(){r=s(t)})),r}(t):s(t)}}function C(t){return Array.prototype.slice.call(t)}function P(t){return C(t).join(\"\")}function I(){function t(){var t=[],e=[];return U((function(){t.push.apply(t,C(arguments))}),{def:function(){var n=\"v\"+r++;return e.push(n),0<arguments.length&&(t.push(n,\"=\"),t.push.apply(t,C(arguments)),t.push(\";\")),n},toString:function(){return P([0<e.length?\"var \"+e.join(\",\")+\";\":\"\",P(t)])}})}function e(){function e(t,e){n(t,e,\"=\",r.def(t,e),\";\")}var r=t(),n=t(),i=r.toString,a=n.toString;return U((function(){r.apply(r,C(arguments))}),{def:r.def,entry:r,exit:n,save:e,set:function(t,n,i){e(t,n),r(t,n,\"=\",i,\";\")},toString:function(){return i()+a()}})}var r=0,n=[],i=[],a=t(),o={};return{global:a,link:function(t){for(var e=0;e<i.length;++e)if(i[e]===t)return n[e];return e=\"g\"+r++,n.push(e),i.push(t),e},block:t,proc:function(t,r){function n(){var t=\"a\"+i.length;return i.push(t),t}var i=[];r=r||0;for(var a=0;a<r;++a)n();var s=(a=e()).toString;return o[t]=U(a,{arg:n,toString:function(){return P([\"function(\",i.join(),\"){\",s(),\"}\"])}})},scope:e,cond:function(){var t=P(arguments),r=e(),n=e(),i=r.toString,a=n.toString;return U(r,{then:function(){return r.apply(r,C(arguments)),this},else:function(){return n.apply(n,C(arguments)),this},toString:function(){var e=a();return e&&(e=\"else{\"+e+\"}\"),P([\"if(\",t,\"){\",i(),\"}\",e])}})},compile:function(){var t=['\"use strict\";',a,\"return {\"];Object.keys(o).forEach((function(e){t.push('\"',e,'\":',o[e].toString(),\",\")})),t.push(\"}\");var e=P(t).replace(/;/g,\";\\n\").replace(/}/g,\"}\\n\").replace(/{/g,\"{\\n\");return Function.apply(null,n.concat(e)).apply(null,i)}}}function O(t){return Array.isArray(t)||X(t)||l(t)}function z(t){return t.sort((function(t,e){return\"viewport\"===t?-1:\"viewport\"===e?1:t<e?-1:1}))}function D(t,e,r,n){this.thisDep=t,this.contextDep=e,this.propDep=r,this.append=n}function R(t){return t&&!(t.thisDep||t.contextDep||t.propDep)}function F(t){return new D(!1,!1,!1,t)}function B(t,e){var r=t.type;return 0===r?new D(!0,1<=(r=t.data.length),2<=r,e):4===r?new D((r=t.data).thisDep,r.contextDep,r.propDep,e):new D(3===r,2===r,1===r,e)}function N(t,e,r,n,i,o,s,l,c,u,f,h,p,d,m){function v(t){return t.replace(\".\",\"_\")}function y(t,e,r){var n=v(t);rt.push(t),et[n]=tt[n]=!!r,it[n]=e}function x(t,e,r){var n=v(t);rt.push(t),Array.isArray(r)?(tt[n]=r.slice(),et[n]=r.slice()):tt[n]=et[n]=r,at[n]=e}function b(){var t=I(),r=t.link,n=t.global;t.id=lt++,t.batchId=\"0\";var i=r(ot),a=t.shared={props:\"a0\"};Object.keys(ot).forEach((function(t){a[t]=n.def(i,\".\",t)}));var o=t.next={},s=t.current={};Object.keys(at).forEach((function(t){Array.isArray(tt[t])&&(o[t]=n.def(a.next,\".\",t),s[t]=n.def(a.current,\".\",t))}));var l=t.constants={};Object.keys(st).forEach((function(t){l[t]=n.def(JSON.stringify(st[t]))})),t.invoke=function(e,n){switch(n.type){case 0:var i=[\"this\",a.context,a.props,t.batchId];return e.def(r(n.data),\".call(\",i.slice(0,Math.max(n.data.length+1,4)),\")\");case 1:return e.def(a.props,n.data);case 2:return e.def(a.context,n.data);case 3:return e.def(\"this\",n.data);case 4:return n.data.append(t,e),n.data.ref}},t.attribCache={};var c={};return t.scopeAttrib=function(t){if((t=e.id(t))in c)return c[t];var n=u.scope[t];return n||(n=u.scope[t]=new Z),c[t]=r(n)},t}function _(t,e){var r=t.static,n=t.dynamic;if(\"framebuffer\"in r){var i=r.framebuffer;return i?(i=l.getFramebuffer(i),F((function(t,e){var r=t.link(i),n=t.shared;return e.set(n.framebuffer,\".next\",r),n=n.context,e.set(n,\".framebufferWidth\",r+\".width\"),e.set(n,\".framebufferHeight\",r+\".height\"),r}))):F((function(t,e){var r=t.shared;return e.set(r.framebuffer,\".next\",\"null\"),r=r.context,e.set(r,\".framebufferWidth\",r+\".drawingBufferWidth\"),e.set(r,\".framebufferHeight\",r+\".drawingBufferHeight\"),\"null\"}))}if(\"framebuffer\"in n){var a=n.framebuffer;return B(a,(function(t,e){var r=t.invoke(e,a),n=t.shared,i=n.framebuffer;r=e.def(i,\".getFramebuffer(\",r,\")\");return e.set(i,\".next\",r),n=n.context,e.set(n,\".framebufferWidth\",r+\"?\"+r+\".width:\"+n+\".drawingBufferWidth\"),e.set(n,\".framebufferHeight\",r+\"?\"+r+\".height:\"+n+\".drawingBufferHeight\"),r}))}return null}function w(t,r,n){function i(t){if(t in a){var r=e.id(a[t]);return(t=F((function(){return r}))).id=r,t}if(t in o){var n=o[t];return B(n,(function(t,e){var r=t.invoke(e,n);return e.def(t.shared.strings,\".id(\",r,\")\")}))}return null}var a=t.static,o=t.dynamic,s=i(\"frag\"),l=i(\"vert\"),c=null;return R(s)&&R(l)?(c=f.program(l.id,s.id,null,n),t=F((function(t,e){return t.link(c)}))):t=new D(s&&s.thisDep||l&&l.thisDep,s&&s.contextDep||l&&l.contextDep,s&&s.propDep||l&&l.propDep,(function(t,e){var r,n,i=t.shared.shader;return r=s?s.append(t,e):e.def(i,\".\",\"frag\"),n=l?l.append(t,e):e.def(i,\".\",\"vert\"),e.def(i+\".program(\"+n+\",\"+r+\")\")})),{frag:s,vert:l,progVar:t,program:c}}function T(t,e){function r(t,e){if(t in n){var r=0|n[t];return F((function(t,n){return e&&(t.OFFSET=r),r}))}if(t in i){var o=i[t];return B(o,(function(t,r){var n=t.invoke(r,o);return e&&(t.OFFSET=n),n}))}return e&&a?F((function(t,e){return t.OFFSET=\"0\",0})):null}var n=t.static,i=t.dynamic,a=function(){if(\"elements\"in n){var t=n.elements;O(t)?t=o.getElements(o.create(t,!0)):t&&(t=o.getElements(t));var e=F((function(e,r){if(t){var n=e.link(t);return e.ELEMENTS=n}return e.ELEMENTS=null}));return e.value=t,e}if(\"elements\"in i){var r=i.elements;return B(r,(function(t,e){var n=(i=t.shared).isBufferArgs,i=i.elements,a=t.invoke(e,r),o=e.def(\"null\");n=e.def(n,\"(\",a,\")\"),a=t.cond(n).then(o,\"=\",i,\".createStream(\",a,\");\").else(o,\"=\",i,\".getElements(\",a,\");\");return e.entry(a),e.exit(t.cond(n).then(i,\".destroyStream(\",o,\");\")),t.ELEMENTS=o}))}return null}(),s=r(\"offset\",!0);return{elements:a,primitive:function(){if(\"primitive\"in n){var t=n.primitive;return F((function(e,r){return nt[t]}))}if(\"primitive\"in i){var e=i.primitive;return B(e,(function(t,r){var n=t.constants.primTypes,i=t.invoke(r,e);return r.def(n,\"[\",i,\"]\")}))}return a?R(a)?a.value?F((function(t,e){return e.def(t.ELEMENTS,\".primType\")})):F((function(){return 4})):new D(a.thisDep,a.contextDep,a.propDep,(function(t,e){var r=t.ELEMENTS;return e.def(r,\"?\",r,\".primType:\",4)})):null}(),count:function(){if(\"count\"in n){var t=0|n.count;return F((function(){return t}))}if(\"count\"in i){var e=i.count;return B(e,(function(t,r){return t.invoke(r,e)}))}return a?R(a)?a?s?new D(s.thisDep,s.contextDep,s.propDep,(function(t,e){return e.def(t.ELEMENTS,\".vertCount-\",t.OFFSET)})):F((function(t,e){return e.def(t.ELEMENTS,\".vertCount\")})):F((function(){return-1})):new D(a.thisDep||s.thisDep,a.contextDep||s.contextDep,a.propDep||s.propDep,(function(t,e){var r=t.ELEMENTS;return t.OFFSET?e.def(r,\"?\",r,\".vertCount-\",t.OFFSET,\":-1\"):e.def(r,\"?\",r,\".vertCount:-1\")})):null}(),instances:r(\"instances\",!1),offset:s}}function k(t,r){var n=t.static,a=t.dynamic,o={};return Object.keys(n).forEach((function(t){var r=n[t],a=e.id(t),s=new Z;if(O(r))s.state=1,s.buffer=i.getBuffer(i.create(r,34962,!1,!0)),s.type=0;else if(c=i.getBuffer(r))s.state=1,s.buffer=c,s.type=0;else if(\"constant\"in r){var l=r.constant;s.buffer=\"null\",s.state=2,\"number\"==typeof l?s.x=l:wt.forEach((function(t,e){e<l.length&&(s[t]=l[e])}))}else{var c=O(r.buffer)?i.getBuffer(i.create(r.buffer,34962,!1,!0)):i.getBuffer(r.buffer),u=0|r.offset,f=0|r.stride,h=0|r.size,p=!!r.normalized,d=0;\"type\"in r&&(d=Q[r.type]),r=0|r.divisor,s.buffer=c,s.state=1,s.size=h,s.normalized=p,s.type=d||c.dtype,s.offset=u,s.stride=f,s.divisor=r}o[t]=F((function(t,e){var r=t.attribCache;if(a in r)return r[a];var n={isStream:!1};return Object.keys(s).forEach((function(t){n[t]=s[t]})),s.buffer&&(n.buffer=t.link(s.buffer),n.type=n.type||n.buffer+\".dtype\"),r[a]=n}))})),Object.keys(a).forEach((function(t){var e=a[t];o[t]=B(e,(function(t,r){function n(t){r(l[t],\"=\",i,\".\",t,\"|0;\")}var i=t.invoke(r,e),a=t.shared,o=t.constants,s=a.isBufferArgs,l=(a=a.buffer,{isStream:r.def(!1)}),c=new Z;c.state=1,Object.keys(c).forEach((function(t){l[t]=r.def(\"\"+c[t])}));var u=l.buffer,f=l.type;return r(\"if(\",s,\"(\",i,\")){\",l.isStream,\"=true;\",u,\"=\",a,\".createStream(\",34962,\",\",i,\");\",f,\"=\",u,\".dtype;\",\"}else{\",u,\"=\",a,\".getBuffer(\",i,\");\",\"if(\",u,\"){\",f,\"=\",u,\".dtype;\",'}else if(\"constant\" in ',i,\"){\",l.state,\"=\",2,\";\",\"if(typeof \"+i+'.constant === \"number\"){',l[wt[0]],\"=\",i,\".constant;\",wt.slice(1).map((function(t){return l[t]})).join(\"=\"),\"=0;\",\"}else{\",wt.map((function(t,e){return l[t]+\"=\"+i+\".constant.length>\"+e+\"?\"+i+\".constant[\"+e+\"]:0;\"})).join(\"\"),\"}}else{\",\"if(\",s,\"(\",i,\".buffer)){\",u,\"=\",a,\".createStream(\",34962,\",\",i,\".buffer);\",\"}else{\",u,\"=\",a,\".getBuffer(\",i,\".buffer);\",\"}\",f,'=\"type\" in ',i,\"?\",o.glTypes,\"[\",i,\".type]:\",u,\".dtype;\",l.normalized,\"=!!\",i,\".normalized;\"),n(\"size\"),n(\"offset\"),n(\"stride\"),n(\"divisor\"),r(\"}}\"),r.exit(\"if(\",l.isStream,\"){\",a,\".destroyStream(\",u,\");\",\"}\"),l}))})),o}function M(t,e,n,i,o){function s(t){var e=c[t];e&&(h[t]=e)}var l=function(t,e){if(\"string\"==typeof(r=t.static).frag&&\"string\"==typeof r.vert){if(0<Object.keys(e.dynamic).length)return null;var r=e.static,n=Object.keys(r);if(0<n.length&&\"number\"==typeof r[n[0]]){for(var i=[],a=0;a<n.length;++a)i.push([0|r[n[a]],n[a]]);return i}}return null}(t,e),c=function(t,e,r){function n(t){if(t in i){var r=i[t];t=!0;var n,o,s=0|r.x,l=0|r.y;return\"width\"in r?n=0|r.width:t=!1,\"height\"in r?o=0|r.height:t=!1,new D(!t&&e&&e.thisDep,!t&&e&&e.contextDep,!t&&e&&e.propDep,(function(t,e){var i=t.shared.context,a=n;\"width\"in r||(a=e.def(i,\".\",\"framebufferWidth\",\"-\",s));var c=o;return\"height\"in r||(c=e.def(i,\".\",\"framebufferHeight\",\"-\",l)),[s,l,a,c]}))}if(t in a){var c=a[t];return t=B(c,(function(t,e){var r=t.invoke(e,c),n=t.shared.context,i=e.def(r,\".x|0\"),a=e.def(r,\".y|0\");return[i,a,e.def('\"width\" in ',r,\"?\",r,\".width|0:\",\"(\",n,\".\",\"framebufferWidth\",\"-\",i,\")\"),r=e.def('\"height\" in ',r,\"?\",r,\".height|0:\",\"(\",n,\".\",\"framebufferHeight\",\"-\",a,\")\")]})),e&&(t.thisDep=t.thisDep||e.thisDep,t.contextDep=t.contextDep||e.contextDep,t.propDep=t.propDep||e.propDep),t}return e?new D(e.thisDep,e.contextDep,e.propDep,(function(t,e){var r=t.shared.context;return[0,0,e.def(r,\".\",\"framebufferWidth\"),e.def(r,\".\",\"framebufferHeight\")]})):null}var i=t.static,a=t.dynamic;if(t=n(\"viewport\")){var o=t;t=new D(t.thisDep,t.contextDep,t.propDep,(function(t,e){var r=o.append(t,e),n=t.shared.context;return e.set(n,\".viewportWidth\",r[2]),e.set(n,\".viewportHeight\",r[3]),r}))}return{viewport:t,scissor_box:n(\"scissor.box\")}}(t,d=_(t)),f=T(t),h=function(t,e){var r=t.static,n=t.dynamic,i={};return rt.forEach((function(t){function e(e,a){if(t in r){var s=e(r[t]);i[o]=F((function(){return s}))}else if(t in n){var l=n[t];i[o]=B(l,(function(t,e){return a(t,e,t.invoke(e,l))}))}}var o=v(t);switch(t){case\"cull.enable\":case\"blend.enable\":case\"dither\":case\"stencil.enable\":case\"depth.enable\":case\"scissor.enable\":case\"polygonOffset.enable\":case\"sample.alpha\":case\"sample.enable\":case\"depth.mask\":return e((function(t){return t}),(function(t,e,r){return r}));case\"depth.func\":return e((function(t){return Mt[t]}),(function(t,e,r){return e.def(t.constants.compareFuncs,\"[\",r,\"]\")}));case\"depth.range\":return e((function(t){return t}),(function(t,e,r){return[e.def(\"+\",r,\"[0]\"),e=e.def(\"+\",r,\"[1]\")]}));case\"blend.func\":return e((function(t){return[kt[\"srcRGB\"in t?t.srcRGB:t.src],kt[\"dstRGB\"in t?t.dstRGB:t.dst],kt[\"srcAlpha\"in t?t.srcAlpha:t.src],kt[\"dstAlpha\"in t?t.dstAlpha:t.dst]]}),(function(t,e,r){function n(t,n){return e.def('\"',t,n,'\" in ',r,\"?\",r,\".\",t,n,\":\",r,\".\",t)}t=t.constants.blendFuncs;var i=n(\"src\",\"RGB\"),a=n(\"dst\",\"RGB\"),o=(i=e.def(t,\"[\",i,\"]\"),e.def(t,\"[\",n(\"src\",\"Alpha\"),\"]\"));return[i,a=e.def(t,\"[\",a,\"]\"),o,t=e.def(t,\"[\",n(\"dst\",\"Alpha\"),\"]\")]}));case\"blend.equation\":return e((function(t){return\"string\"==typeof t?[J[t],J[t]]:\"object\"==typeof t?[J[t.rgb],J[t.alpha]]:void 0}),(function(t,e,r){var n=t.constants.blendEquations,i=e.def(),a=e.def();return(t=t.cond(\"typeof \",r,'===\"string\"')).then(i,\"=\",a,\"=\",n,\"[\",r,\"];\"),t.else(i,\"=\",n,\"[\",r,\".rgb];\",a,\"=\",n,\"[\",r,\".alpha];\"),e(t),[i,a]}));case\"blend.color\":return e((function(t){return a(4,(function(e){return+t[e]}))}),(function(t,e,r){return a(4,(function(t){return e.def(\"+\",r,\"[\",t,\"]\")}))}));case\"stencil.mask\":return e((function(t){return 0|t}),(function(t,e,r){return e.def(r,\"|0\")}));case\"stencil.func\":return e((function(t){return[Mt[t.cmp||\"keep\"],t.ref||0,\"mask\"in t?t.mask:-1]}),(function(t,e,r){return[t=e.def('\"cmp\" in ',r,\"?\",t.constants.compareFuncs,\"[\",r,\".cmp]\",\":\",7680),e.def(r,\".ref|0\"),e=e.def('\"mask\" in ',r,\"?\",r,\".mask|0:-1\")]}));case\"stencil.opFront\":case\"stencil.opBack\":return e((function(e){return[\"stencil.opBack\"===t?1029:1028,At[e.fail||\"keep\"],At[e.zfail||\"keep\"],At[e.zpass||\"keep\"]]}),(function(e,r,n){function i(t){return r.def('\"',t,'\" in ',n,\"?\",a,\"[\",n,\".\",t,\"]:\",7680)}var a=e.constants.stencilOps;return[\"stencil.opBack\"===t?1029:1028,i(\"fail\"),i(\"zfail\"),i(\"zpass\")]}));case\"polygonOffset.offset\":return e((function(t){return[0|t.factor,0|t.units]}),(function(t,e,r){return[e.def(r,\".factor|0\"),e=e.def(r,\".units|0\")]}));case\"cull.face\":return e((function(t){var e=0;return\"front\"===t?e=1028:\"back\"===t&&(e=1029),e}),(function(t,e,r){return e.def(r,'===\"front\"?',1028,\":\",1029)}));case\"lineWidth\":return e((function(t){return t}),(function(t,e,r){return r}));case\"frontFace\":return e((function(t){return St[t]}),(function(t,e,r){return e.def(r+'===\"cw\"?2304:2305')}));case\"colorMask\":return e((function(t){return t.map((function(t){return!!t}))}),(function(t,e,r){return a(4,(function(t){return\"!!\"+r+\"[\"+t+\"]\"}))}));case\"sample.coverage\":return e((function(t){return[\"value\"in t?t.value:1,!!t.invert]}),(function(t,e,r){return[e.def('\"value\" in ',r,\"?+\",r,\".value:1\"),e=e.def(\"!!\",r,\".invert\")]}))}})),i}(t),p=w(t,0,l);s(\"viewport\"),s(v(\"scissor.box\"));var d,m=0<Object.keys(h).length;if((d={framebuffer:d,draw:f,shader:p,state:h,dirty:m,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}}).profile=function(t){var e,r=t.static;if(t=t.dynamic,\"profile\"in r){var n=!!r.profile;(e=F((function(t,e){return n}))).enable=n}else if(\"profile\"in t){var i=t.profile;e=B(i,(function(t,e){return t.invoke(e,i)}))}return e}(t),d.uniforms=function(t,e){var r=t.static,n=t.dynamic,i={};return Object.keys(r).forEach((function(t){var e,n=r[t];if(\"number\"==typeof n||\"boolean\"==typeof n)e=F((function(){return n}));else if(\"function\"==typeof n){var o=n._reglType;\"texture2d\"===o||\"textureCube\"===o?e=F((function(t){return t.link(n)})):\"framebuffer\"!==o&&\"framebufferCube\"!==o||(e=F((function(t){return t.link(n.color[0])})))}else g(n)&&(e=F((function(t){return t.global.def(\"[\",a(n.length,(function(t){return n[t]})),\"]\")})));e.value=n,i[t]=e})),Object.keys(n).forEach((function(t){var e=n[t];i[t]=B(e,(function(t,r){return t.invoke(r,e)}))})),i}(n),d.drawVAO=d.scopeVAO=function(t,e){var r=t.static,n=t.dynamic;if(\"vao\"in r){var i=r.vao;return null!==i&&null===u.getVAO(i)&&(i=u.createVAO(i)),F((function(t){return t.link(u.getVAO(i))}))}if(\"vao\"in n){var a=n.vao;return B(a,(function(t,e){var r=t.invoke(e,a);return e.def(t.shared.vao+\".getVAO(\"+r+\")\")}))}return null}(t),!d.drawVAO&&p.program&&!l&&r.angle_instanced_arrays){var y=!0;if(t=p.program.attributes.map((function(t){return t=e.static[t],y=y&&!!t,t})),y&&0<t.length){var x=u.getVAO(u.createVAO(t));d.drawVAO=new D(null,null,null,(function(t,e){return t.link(x)})),d.useVAO=!0}}return l?d.useVAO=!0:d.attributes=k(e),d.context=function(t){var e=t.static,r=t.dynamic,n={};return Object.keys(e).forEach((function(t){var r=e[t];n[t]=F((function(t,e){return\"number\"==typeof r||\"boolean\"==typeof r?\"\"+r:t.link(r)}))})),Object.keys(r).forEach((function(t){var e=r[t];n[t]=B(e,(function(t,r){return t.invoke(r,e)}))})),n}(i),d}function A(t,e,r){var n=t.shared.context,i=t.scope();Object.keys(r).forEach((function(a){e.save(n,\".\"+a),i(n,\".\",a,\"=\",r[a].append(t,e),\";\")})),e(i)}function S(t,e,r,n){var i,a=(s=t.shared).gl,o=s.framebuffer;$&&(i=e.def(s.extensions,\".webgl_draw_buffers\"));var s=(l=t.constants).drawBuffer,l=l.backBuffer;t=r?r.append(t,e):e.def(o,\".next\"),n||e(\"if(\",t,\"!==\",o,\".cur){\"),e(\"if(\",t,\"){\",a,\".bindFramebuffer(\",36160,\",\",t,\".framebuffer);\"),$&&e(i,\".drawBuffersWEBGL(\",s,\"[\",t,\".colorAttachments.length]);\"),e(\"}else{\",a,\".bindFramebuffer(\",36160,\",null);\"),$&&e(i,\".drawBuffersWEBGL(\",l,\");\"),e(\"}\",o,\".cur=\",t,\";\"),n||e(\"}\")}function E(t,e,r){var n=t.shared,i=n.gl,o=t.current,s=t.next,l=n.current,c=n.next,u=t.cond(l,\".dirty\");rt.forEach((function(e){var n,f;if(!((e=v(e))in r.state))if(e in s){n=s[e],f=o[e];var h=a(tt[e].length,(function(t){return u.def(n,\"[\",t,\"]\")}));u(t.cond(h.map((function(t,e){return t+\"!==\"+f+\"[\"+e+\"]\"})).join(\"||\")).then(i,\".\",at[e],\"(\",h,\");\",h.map((function(t,e){return f+\"[\"+e+\"]=\"+t})).join(\";\"),\";\"))}else n=u.def(c,\".\",e),h=t.cond(n,\"!==\",l,\".\",e),u(h),e in it?h(t.cond(n).then(i,\".enable(\",it[e],\");\").else(i,\".disable(\",it[e],\");\"),l,\".\",e,\"=\",n,\";\"):h(i,\".\",at[e],\"(\",n,\");\",l,\".\",e,\"=\",n,\";\")})),0===Object.keys(r.state).length&&u(l,\".dirty=false;\"),e(u)}function L(t,e,r,n){var i=t.shared,a=t.current,o=i.current,s=i.gl;z(Object.keys(r)).forEach((function(i){var l=r[i];if(!n||n(l)){var c=l.append(t,e);if(it[i]){var u=it[i];R(l)?e(s,c?\".enable(\":\".disable(\",u,\");\"):e(t.cond(c).then(s,\".enable(\",u,\");\").else(s,\".disable(\",u,\");\")),e(o,\".\",i,\"=\",c,\";\")}else if(g(c)){var f=a[i];e(s,\".\",at[i],\"(\",c,\");\",c.map((function(t,e){return f+\"[\"+e+\"]=\"+t})).join(\";\"),\";\")}else e(s,\".\",at[i],\"(\",c,\");\",o,\".\",i,\"=\",c,\";\")}}))}function C(t,e){K&&(t.instancing=e.def(t.shared.extensions,\".angle_instanced_arrays\"))}function P(t,e,r,n,i){function a(){return\"undefined\"==typeof performance?\"Date.now()\":\"performance.now()\"}function o(t){t(c=e.def(),\"=\",a(),\";\"),\"string\"==typeof i?t(h,\".count+=\",i,\";\"):t(h,\".count++;\"),d&&(n?t(u=e.def(),\"=\",m,\".getNumPendingQueries();\"):t(m,\".beginQuery(\",h,\");\"))}function s(t){t(h,\".cpuTime+=\",a(),\"-\",c,\";\"),d&&(n?t(m,\".pushScopeStats(\",u,\",\",m,\".getNumPendingQueries(),\",h,\");\"):t(m,\".endQuery();\"))}function l(t){var r=e.def(p,\".profile\");e(p,\".profile=\",t,\";\"),e.exit(p,\".profile=\",r,\";\")}var c,u,f=t.shared,h=t.stats,p=f.current,m=f.timer;if(r=r.profile){if(R(r))return void(r.enable?(o(e),s(e.exit),l(\"true\")):l(\"false\"));l(r=r.append(t,e))}else r=e.def(p,\".profile\");o(f=t.block()),e(\"if(\",r,\"){\",f,\"}\"),s(t=t.block()),e.exit(\"if(\",r,\"){\",t,\"}\")}function N(t,e,r,n,i){function a(r,n,i){function a(){e(\"if(!\",u,\".buffer){\",l,\".enableVertexAttribArray(\",c,\");}\");var r,a=i.type;r=i.size?e.def(i.size,\"||\",n):n,e(\"if(\",u,\".type!==\",a,\"||\",u,\".size!==\",r,\"||\",p.map((function(t){return u+\".\"+t+\"!==\"+i[t]})).join(\"||\"),\"){\",l,\".bindBuffer(\",34962,\",\",f,\".buffer);\",l,\".vertexAttribPointer(\",[c,r,a,i.normalized,i.stride,i.offset],\");\",u,\".type=\",a,\";\",u,\".size=\",r,\";\",p.map((function(t){return u+\".\"+t+\"=\"+i[t]+\";\"})).join(\"\"),\"}\"),K&&(a=i.divisor,e(\"if(\",u,\".divisor!==\",a,\"){\",t.instancing,\".vertexAttribDivisorANGLE(\",[c,a],\");\",u,\".divisor=\",a,\";}\"))}function s(){e(\"if(\",u,\".buffer){\",l,\".disableVertexAttribArray(\",c,\");\",u,\".buffer=null;\",\"}if(\",wt.map((function(t,e){return u+\".\"+t+\"!==\"+h[e]})).join(\"||\"),\"){\",l,\".vertexAttrib4f(\",c,\",\",h,\");\",wt.map((function(t,e){return u+\".\"+t+\"=\"+h[e]+\";\"})).join(\"\"),\"}\")}var l=o.gl,c=e.def(r,\".location\"),u=e.def(o.attributes,\"[\",c,\"]\");r=i.state;var f=i.buffer,h=[i.x,i.y,i.z,i.w],p=[\"buffer\",\"normalized\",\"offset\",\"stride\"];1===r?a():2===r?s():(e(\"if(\",r,\"===\",1,\"){\"),a(),e(\"}else{\"),s(),e(\"}\"))}var o=t.shared;n.forEach((function(n){var o,s=n.name,l=r.attributes[s];if(l){if(!i(l))return;o=l.append(t,e)}else{if(!i(Et))return;var c=t.scopeAttrib(s);o={},Object.keys(new Z).forEach((function(t){o[t]=e.def(c,\".\",t)}))}a(t.link(n),function(t){switch(t){case 35664:case 35667:case 35671:return 2;case 35665:case 35668:case 35672:return 3;case 35666:case 35669:case 35673:return 4;default:return 1}}(n.info.type),o)}))}function j(t,r,n,i,o){for(var s,l=t.shared,c=l.gl,u=0;u<i.length;++u){var f,h=(m=i[u]).name,p=m.info.type,d=n.uniforms[h],m=t.link(m)+\".location\";if(d){if(!o(d))continue;if(R(d)){if(h=d.value,35678===p||35680===p)r(c,\".uniform1i(\",m,\",\",(p=t.link(h._texture||h.color[0]._texture))+\".bind());\"),r.exit(p,\".unbind();\");else if(35674===p||35675===p||35676===p)d=2,35675===p?d=3:35676===p&&(d=4),r(c,\".uniformMatrix\",d,\"fv(\",m,\",false,\",h=t.global.def(\"new Float32Array([\"+Array.prototype.slice.call(h)+\"])\"),\");\");else{switch(p){case 5126:s=\"1f\";break;case 35664:s=\"2f\";break;case 35665:s=\"3f\";break;case 35666:s=\"4f\";break;case 35670:case 5124:s=\"1i\";break;case 35671:case 35667:s=\"2i\";break;case 35672:case 35668:s=\"3i\";break;case 35673:s=\"4i\";break;case 35669:s=\"4i\"}r(c,\".uniform\",s,\"(\",m,\",\",g(h)?Array.prototype.slice.call(h):h,\");\")}continue}f=d.append(t,r)}else{if(!o(Et))continue;f=r.def(l.uniforms,\"[\",e.id(h),\"]\")}switch(35678===p?r(\"if(\",f,\"&&\",f,'._reglType===\"framebuffer\"){',f,\"=\",f,\".color[0];\",\"}\"):35680===p&&r(\"if(\",f,\"&&\",f,'._reglType===\"framebufferCube\"){',f,\"=\",f,\".color[0];\",\"}\"),h=1,p){case 35678:case 35680:p=r.def(f,\"._texture\"),r(c,\".uniform1i(\",m,\",\",p,\".bind());\"),r.exit(p,\".unbind();\");continue;case 5124:case 35670:s=\"1i\";break;case 35667:case 35671:s=\"2i\",h=2;break;case 35668:case 35672:s=\"3i\",h=3;break;case 35669:case 35673:s=\"4i\",h=4;break;case 5126:s=\"1f\";break;case 35664:s=\"2f\",h=2;break;case 35665:s=\"3f\",h=3;break;case 35666:s=\"4f\",h=4;break;case 35674:s=\"Matrix2fv\";break;case 35675:s=\"Matrix3fv\";break;case 35676:s=\"Matrix4fv\"}if(r(c,\".uniform\",s,\"(\",m,\",\"),\"M\"===s.charAt(0)){m=Math.pow(p-35674+2,2);var v=t.global.def(\"new Float32Array(\",m,\")\");r(\"false,(Array.isArray(\",f,\")||\",f,\" instanceof Float32Array)?\",f,\":(\",a(m,(function(t){return v+\"[\"+t+\"]=\"+f+\"[\"+t+\"]\"})),\",\",v,\")\")}else r(1<h?a(h,(function(t){return f+\"[\"+t+\"]\"})):f);r(\");\")}}function U(t,e,r,n){function i(i){var a=h[i];return a?a.contextDep&&n.contextDynamic||a.propDep?a.append(t,r):a.append(t,e):e.def(f,\".\",i)}function a(){function t(){r(l,\".drawElementsInstancedANGLE(\",[d,g,v,m+\"<<((\"+v+\"-5121)>>1)\",s],\");\")}function e(){r(l,\".drawArraysInstancedANGLE(\",[d,m,g,s],\");\")}p?y?t():(r(\"if(\",p,\"){\"),t(),r(\"}else{\"),e(),r(\"}\")):e()}function o(){function t(){r(u+\".drawElements(\"+[d,g,v,m+\"<<((\"+v+\"-5121)>>1)\"]+\");\")}function e(){r(u+\".drawArrays(\"+[d,m,g]+\");\")}p?y?t():(r(\"if(\",p,\"){\"),t(),r(\"}else{\"),e(),r(\"}\")):e()}var s,l,c=t.shared,u=c.gl,f=c.draw,h=n.draw,p=function(){var i=h.elements,a=e;return i?((i.contextDep&&n.contextDynamic||i.propDep)&&(a=r),i=i.append(t,a)):i=a.def(f,\".\",\"elements\"),i&&a(\"if(\"+i+\")\"+u+\".bindBuffer(34963,\"+i+\".buffer.buffer);\"),i}(),d=i(\"primitive\"),m=i(\"offset\"),g=function(){var i=h.count,a=e;return i?((i.contextDep&&n.contextDynamic||i.propDep)&&(a=r),i=i.append(t,a)):i=a.def(f,\".\",\"count\"),i}();if(\"number\"==typeof g){if(0===g)return}else r(\"if(\",g,\"){\"),r.exit(\"}\");K&&(s=i(\"instances\"),l=t.instancing);var v=p+\".type\",y=h.elements&&R(h.elements);K&&(\"number\"!=typeof s||0<=s)?\"string\"==typeof s?(r(\"if(\",s,\">0){\"),a(),r(\"}else if(\",s,\"<0){\"),o(),r(\"}\")):a():o()}function V(t,e,r,n,i){return i=(e=b()).proc(\"body\",i),K&&(e.instancing=i.def(e.shared.extensions,\".angle_instanced_arrays\")),t(e,i,r,n),e.compile().body}function H(t,e,r,n){C(t,e),r.useVAO?r.drawVAO?e(t.shared.vao,\".setVAO(\",r.drawVAO.append(t,e),\");\"):e(t.shared.vao,\".setVAO(\",t.shared.vao,\".targetVAO);\"):(e(t.shared.vao,\".setVAO(null);\"),N(t,e,r,n.attributes,(function(){return!0}))),j(t,e,r,n.uniforms,(function(){return!0})),U(t,e,e,r)}function G(t,e,r,n){function i(){return!0}t.batchId=\"a1\",C(t,e),N(t,e,r,n.attributes,i),j(t,e,r,n.uniforms,i),U(t,e,e,r)}function Y(t,e,r,n){function i(t){return t.contextDep&&o||t.propDep}function a(t){return!i(t)}C(t,e);var o=r.contextDep,s=e.def(),l=e.def();t.shared.props=l,t.batchId=s;var c=t.scope(),u=t.scope();e(c.entry,\"for(\",s,\"=0;\",s,\"<\",\"a1\",\";++\",s,\"){\",l,\"=\",\"a0\",\"[\",s,\"];\",u,\"}\",c.exit),r.needsContext&&A(t,u,r.context),r.needsFramebuffer&&S(t,u,r.framebuffer),L(t,u,r.state,i),r.profile&&i(r.profile)&&P(t,u,r,!1,!0),n?(r.useVAO?r.drawVAO?i(r.drawVAO)?u(t.shared.vao,\".setVAO(\",r.drawVAO.append(t,u),\");\"):c(t.shared.vao,\".setVAO(\",r.drawVAO.append(t,c),\");\"):c(t.shared.vao,\".setVAO(\",t.shared.vao,\".targetVAO);\"):(c(t.shared.vao,\".setVAO(null);\"),N(t,c,r,n.attributes,a),N(t,u,r,n.attributes,i)),j(t,c,r,n.uniforms,a),j(t,u,r,n.uniforms,i),U(t,c,u,r)):(e=t.global.def(\"{}\"),n=r.shader.progVar.append(t,u),l=u.def(n,\".id\"),c=u.def(e,\"[\",l,\"]\"),u(t.shared.gl,\".useProgram(\",n,\".program);\",\"if(!\",c,\"){\",c,\"=\",e,\"[\",l,\"]=\",t.link((function(e){return V(G,t,r,e,2)})),\"(\",n,\");}\",c,\".call(this,a0[\",s,\"],\",s,\");\"))}function W(t,r){function n(e){var n=r.shader[e];n&&i.set(a.shader,\".\"+e,n.append(t,i))}var i=t.proc(\"scope\",3);t.batchId=\"a2\";var a=t.shared,o=a.current;A(t,i,r.context),r.framebuffer&&r.framebuffer.append(t,i),z(Object.keys(r.state)).forEach((function(e){var n=r.state[e].append(t,i);g(n)?n.forEach((function(r,n){i.set(t.next[e],\"[\"+n+\"]\",r)})):i.set(a.next,\".\"+e,n)})),P(t,i,r,!0,!0),[\"elements\",\"offset\",\"count\",\"instances\",\"primitive\"].forEach((function(e){var n=r.draw[e];n&&i.set(a.draw,\".\"+e,\"\"+n.append(t,i))})),Object.keys(r.uniforms).forEach((function(n){i.set(a.uniforms,\"[\"+e.id(n)+\"]\",r.uniforms[n].append(t,i))})),Object.keys(r.attributes).forEach((function(e){var n=r.attributes[e].append(t,i),a=t.scopeAttrib(e);Object.keys(new Z).forEach((function(t){i.set(a,\".\"+t,n[t])}))})),r.scopeVAO&&i.set(a.vao,\".targetVAO\",r.scopeVAO.append(t,i)),n(\"vert\"),n(\"frag\"),0<Object.keys(r.state).length&&(i(o,\".dirty=true;\"),i.exit(o,\".dirty=true;\")),i(\"a1(\",t.shared.context,\",a0,\",t.batchId,\");\")}function X(t,e,r){var n=e.static[r];if(n&&function(t){if(\"object\"==typeof t&&!g(t)){for(var e=Object.keys(t),r=0;r<e.length;++r)if(q.isDynamic(t[e[r]]))return!0;return!1}}(n)){var i=t.global,a=Object.keys(n),o=!1,s=!1,l=!1,c=t.global.def(\"{}\");a.forEach((function(e){var r=n[e];if(q.isDynamic(r))\"function\"==typeof r&&(r=n[e]=q.unbox(r)),e=B(r,null),o=o||e.thisDep,l=l||e.propDep,s=s||e.contextDep;else{switch(i(c,\".\",e,\"=\"),typeof r){case\"number\":i(r);break;case\"string\":i('\"',r,'\"');break;case\"object\":Array.isArray(r)&&i(\"[\",r.join(),\"]\");break;default:i(t.link(r))}i(\";\")}})),e.dynamic[r]=new q.DynamicVariable(4,{thisDep:o,contextDep:s,propDep:l,ref:c,append:function(t,e){a.forEach((function(r){var i=n[r];q.isDynamic(i)&&(i=t.invoke(e,i),e(c,\".\",r,\"=\",i,\";\"))}))}}),delete e.static[r]}}var Z=u.Record,J={add:32774,subtract:32778,\"reverse subtract\":32779};r.ext_blend_minmax&&(J.min=32775,J.max=32776);var K=r.angle_instanced_arrays,$=r.webgl_draw_buffers,tt={dirty:!0,profile:m.profile},et={},rt=[],it={},at={};y(\"dither\",3024),y(\"blend.enable\",3042),x(\"blend.color\",\"blendColor\",[0,0,0,0]),x(\"blend.equation\",\"blendEquationSeparate\",[32774,32774]),x(\"blend.func\",\"blendFuncSeparate\",[1,0,1,0]),y(\"depth.enable\",2929,!0),x(\"depth.func\",\"depthFunc\",513),x(\"depth.range\",\"depthRange\",[0,1]),x(\"depth.mask\",\"depthMask\",!0),x(\"colorMask\",\"colorMask\",[!0,!0,!0,!0]),y(\"cull.enable\",2884),x(\"cull.face\",\"cullFace\",1029),x(\"frontFace\",\"frontFace\",2305),x(\"lineWidth\",\"lineWidth\",1),y(\"polygonOffset.enable\",32823),x(\"polygonOffset.offset\",\"polygonOffset\",[0,0]),y(\"sample.alpha\",32926),y(\"sample.enable\",32928),x(\"sample.coverage\",\"sampleCoverage\",[1,!1]),y(\"stencil.enable\",2960),x(\"stencil.mask\",\"stencilMask\",-1),x(\"stencil.func\",\"stencilFunc\",[519,0,-1]),x(\"stencil.opFront\",\"stencilOpSeparate\",[1028,7680,7680,7680]),x(\"stencil.opBack\",\"stencilOpSeparate\",[1029,7680,7680,7680]),y(\"scissor.enable\",3089),x(\"scissor.box\",\"scissor\",[0,0,t.drawingBufferWidth,t.drawingBufferHeight]),x(\"viewport\",\"viewport\",[0,0,t.drawingBufferWidth,t.drawingBufferHeight]);var ot={gl:t,context:p,strings:e,next:et,current:tt,draw:h,elements:o,buffer:i,shader:f,attributes:u.state,vao:u,uniforms:c,framebuffer:l,extensions:r,timer:d,isBufferArgs:O},st={primTypes:nt,compareFuncs:Mt,blendFuncs:kt,blendEquations:J,stencilOps:At,glTypes:Q,orientationType:St};$&&(st.backBuffer=[1029],st.drawBuffer=a(n.maxDrawbuffers,(function(t){return 0===t?[0]:a(t,(function(t){return 36064+t}))})));var lt=0;return{next:et,current:tt,procs:function(){var t=b(),e=t.proc(\"poll\"),i=t.proc(\"refresh\"),o=t.block();e(o),i(o);var s,l=t.shared,c=l.gl,u=l.next,f=l.current;o(f,\".dirty=false;\"),S(t,e),S(t,i,null,!0),K&&(s=t.link(K)),r.oes_vertex_array_object&&i(t.link(r.oes_vertex_array_object),\".bindVertexArrayOES(null);\");for(var h=0;h<n.maxAttributes;++h){var p=i.def(l.attributes,\"[\",h,\"]\"),d=t.cond(p,\".buffer\");d.then(c,\".enableVertexAttribArray(\",h,\");\",c,\".bindBuffer(\",34962,\",\",p,\".buffer.buffer);\",c,\".vertexAttribPointer(\",h,\",\",p,\".size,\",p,\".type,\",p,\".normalized,\",p,\".stride,\",p,\".offset);\").else(c,\".disableVertexAttribArray(\",h,\");\",c,\".vertexAttrib4f(\",h,\",\",p,\".x,\",p,\".y,\",p,\".z,\",p,\".w);\",p,\".buffer=null;\"),i(d),K&&i(s,\".vertexAttribDivisorANGLE(\",h,\",\",p,\".divisor);\")}return i(t.shared.vao,\".currentVAO=null;\",t.shared.vao,\".setVAO(\",t.shared.vao,\".targetVAO);\"),Object.keys(it).forEach((function(r){var n=it[r],a=o.def(u,\".\",r),s=t.block();s(\"if(\",a,\"){\",c,\".enable(\",n,\")}else{\",c,\".disable(\",n,\")}\",f,\".\",r,\"=\",a,\";\"),i(s),e(\"if(\",a,\"!==\",f,\".\",r,\"){\",s,\"}\")})),Object.keys(at).forEach((function(r){var n,s,l=at[r],h=tt[r],p=t.block();p(c,\".\",l,\"(\"),g(h)?(l=h.length,n=t.global.def(u,\".\",r),s=t.global.def(f,\".\",r),p(a(l,(function(t){return n+\"[\"+t+\"]\"})),\");\",a(l,(function(t){return s+\"[\"+t+\"]=\"+n+\"[\"+t+\"];\"})).join(\"\")),e(\"if(\",a(l,(function(t){return n+\"[\"+t+\"]!==\"+s+\"[\"+t+\"]\"})).join(\"||\"),\"){\",p,\"}\")):(n=o.def(u,\".\",r),s=o.def(f,\".\",r),p(n,\");\",f,\".\",r,\"=\",n,\";\"),e(\"if(\",n,\"!==\",s,\"){\",p,\"}\")),i(p)})),t.compile()}(),compile:function(t,e,r,n,i){var a=b();return a.stats=a.link(i),Object.keys(e.static).forEach((function(t){X(a,e,t)})),Tt.forEach((function(e){X(a,t,e)})),r=M(t,e,r,n),function(t,e){var r=t.proc(\"draw\",1);C(t,r),A(t,r,e.context),S(t,r,e.framebuffer),E(t,r,e),L(t,r,e.state),P(t,r,e,!1,!0);var n=e.shader.progVar.append(t,r);if(r(t.shared.gl,\".useProgram(\",n,\".program);\"),e.shader.program)H(t,r,e,e.shader.program);else{r(t.shared.vao,\".setVAO(null);\");var i=t.global.def(\"{}\"),a=r.def(n,\".id\"),o=r.def(i,\"[\",a,\"]\");r(t.cond(o).then(o,\".call(this,a0);\").else(o,\"=\",i,\"[\",a,\"]=\",t.link((function(r){return V(H,t,e,r,1)})),\"(\",n,\");\",o,\".call(this,a0);\"))}0<Object.keys(e.state).length&&r(t.shared.current,\".dirty=true;\")}(a,r),W(a,r),function(t,e){function r(t){return t.contextDep&&i||t.propDep}var n=t.proc(\"batch\",2);t.batchId=\"0\",C(t,n);var i=!1,a=!0;Object.keys(e.context).forEach((function(t){i=i||e.context[t].propDep})),i||(A(t,n,e.context),a=!1);var o=!1;if((s=e.framebuffer)?(s.propDep?i=o=!0:s.contextDep&&i&&(o=!0),o||S(t,n,s)):S(t,n,null),e.state.viewport&&e.state.viewport.propDep&&(i=!0),E(t,n,e),L(t,n,e.state,(function(t){return!r(t)})),e.profile&&r(e.profile)||P(t,n,e,!1,\"a1\"),e.contextDep=i,e.needsContext=a,e.needsFramebuffer=o,(a=e.shader.progVar).contextDep&&i||a.propDep)Y(t,n,e,null);else if(a=a.append(t,n),n(t.shared.gl,\".useProgram(\",a,\".program);\"),e.shader.program)Y(t,n,e,e.shader.program);else{n(t.shared.vao,\".setVAO(null);\");var s=t.global.def(\"{}\"),l=(o=n.def(a,\".id\"),n.def(s,\"[\",o,\"]\"));n(t.cond(l).then(l,\".call(this,a0,a1);\").else(l,\"=\",s,\"[\",o,\"]=\",t.link((function(r){return V(Y,t,e,r,2)})),\"(\",a,\");\",l,\".call(this,a0,a1);\"))}0<Object.keys(e.state).length&&n(t.shared.current,\".dirty=true;\")}(a,r),a.compile()}}}function j(t,e){for(var r=0;r<t.length;++r)if(t[r]===e)return r;return-1}var U=function(t,e){for(var r=Object.keys(e),n=0;n<r.length;++n)t[r[n]]=e[r[n]];return t},V=0,q={DynamicVariable:t,define:function(r,n){return new t(r,e(n+\"\"))},isDynamic:function(e){return\"function\"==typeof e&&!e._reglType||e instanceof t},unbox:function(e,r){return\"function\"==typeof e?new t(0,e):e},accessor:e},H={next:\"function\"==typeof requestAnimationFrame?function(t){return requestAnimationFrame(t)}:function(t){return setTimeout(t,16)},cancel:\"function\"==typeof cancelAnimationFrame?function(t){return cancelAnimationFrame(t)}:clearTimeout},G=\"undefined\"!=typeof performance&&performance.now?function(){return performance.now()}:function(){return+new Date},Y=s();Y.zero=s();var W=function(t,e){var r=1;e.ext_texture_filter_anisotropic&&(r=t.getParameter(34047));var n=1,i=1;e.webgl_draw_buffers&&(n=t.getParameter(34852),i=t.getParameter(36063));var a=!!e.oes_texture_float;if(a){a=t.createTexture(),t.bindTexture(3553,a),t.texImage2D(3553,0,6408,1,1,0,6408,5126,null);var o=t.createFramebuffer();if(t.bindFramebuffer(36160,o),t.framebufferTexture2D(36160,36064,3553,a,0),t.bindTexture(3553,null),36053!==t.checkFramebufferStatus(36160))a=!1;else{t.viewport(0,0,1,1),t.clearColor(1,0,0,1),t.clear(16384);var s=Y.allocType(5126,4);t.readPixels(0,0,1,1,6408,5126,s),t.getError()?a=!1:(t.deleteFramebuffer(o),t.deleteTexture(a),a=1===s[0]),Y.freeType(s)}}return s=!0,\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion)||/Edge/.test(navigator.userAgent))||(s=t.createTexture(),o=Y.allocType(5121,36),t.activeTexture(33984),t.bindTexture(34067,s),t.texImage2D(34069,0,6408,3,3,0,6408,5121,o),Y.freeType(o),t.bindTexture(34067,null),t.deleteTexture(s),s=!t.getError()),{colorBits:[t.getParameter(3410),t.getParameter(3411),t.getParameter(3412),t.getParameter(3413)],depthBits:t.getParameter(3414),stencilBits:t.getParameter(3415),subpixelBits:t.getParameter(3408),extensions:Object.keys(e).filter((function(t){return!!e[t]})),maxAnisotropic:r,maxDrawbuffers:n,maxColorAttachments:i,pointSizeDims:t.getParameter(33901),lineWidthDims:t.getParameter(33902),maxViewportDims:t.getParameter(3386),maxCombinedTextureUnits:t.getParameter(35661),maxCubeMapSize:t.getParameter(34076),maxRenderbufferSize:t.getParameter(34024),maxTextureUnits:t.getParameter(34930),maxTextureSize:t.getParameter(3379),maxAttributes:t.getParameter(34921),maxVertexUniforms:t.getParameter(36347),maxVertexTextureUnits:t.getParameter(35660),maxVaryingVectors:t.getParameter(36348),maxFragmentUniforms:t.getParameter(36349),glsl:t.getParameter(35724),renderer:t.getParameter(7937),vendor:t.getParameter(7936),version:t.getParameter(7938),readFloat:a,npotTextureCube:s}},X=function(t){return t instanceof Uint8Array||t instanceof Uint16Array||t instanceof Uint32Array||t instanceof Int8Array||t instanceof Int16Array||t instanceof Int32Array||t instanceof Float32Array||t instanceof Float64Array||t instanceof Uint8ClampedArray},Z=function(t){return Object.keys(t).map((function(e){return t[e]}))},J={shape:function(t){for(var e=[];t.length;t=t[0])e.push(t.length);return e},flatten:function(t,e,r,n){var i=1;if(e.length)for(var a=0;a<e.length;++a)i*=e[a];else i=0;switch(r=n||Y.allocType(r,i),e.length){case 0:break;case 1:for(n=e[0],e=0;e<n;++e)r[e]=t[e];break;case 2:for(n=e[0],e=e[1],a=i=0;a<n;++a)for(var o=t[a],s=0;s<e;++s)r[i++]=o[s];break;case 3:c(t,e[0],e[1],e[2],r,0);break;default:!function t(e,r,n,i,a){for(var o=1,s=n+1;s<r.length;++s)o*=r[s];var l=r[n];if(4==r.length-n){var u=r[n+1],f=r[n+2];for(r=r[n+3],s=0;s<l;++s)c(e[s],u,f,r,i,a),a+=o}else for(s=0;s<l;++s)t(e[s],r,n+1,i,a),a+=o}(t,e,0,r,0)}return r}},K={\"[object Int8Array]\":5120,\"[object Int16Array]\":5122,\"[object Int32Array]\":5124,\"[object Uint8Array]\":5121,\"[object Uint8ClampedArray]\":5121,\"[object Uint16Array]\":5123,\"[object Uint32Array]\":5125,\"[object Float32Array]\":5126,\"[object Float64Array]\":5121,\"[object ArrayBuffer]\":5121},Q={int8:5120,int16:5122,int32:5124,uint8:5121,uint16:5123,uint32:5125,float:5126,float32:5126},$={dynamic:35048,stream:35040,static:35044},tt=J.flatten,et=J.shape,rt=[];rt[5120]=1,rt[5122]=2,rt[5124]=4,rt[5121]=1,rt[5123]=2,rt[5125]=4,rt[5126]=4;var nt={points:0,point:0,lines:1,line:1,triangles:4,triangle:4,\"line loop\":2,\"line strip\":3,\"triangle strip\":5,\"triangle fan\":6},it=new Float32Array(1),at=new Uint32Array(it.buffer),ot=[9984,9986,9985,9987],st=[0,6409,6410,6407,6408],lt={};lt[6409]=lt[6406]=lt[6402]=1,lt[34041]=lt[6410]=2,lt[6407]=lt[35904]=3,lt[6408]=lt[35906]=4;var ct=v(\"HTMLCanvasElement\"),ut=v(\"OffscreenCanvas\"),ft=v(\"CanvasRenderingContext2D\"),ht=v(\"ImageBitmap\"),pt=v(\"HTMLImageElement\"),dt=v(\"HTMLVideoElement\"),mt=Object.keys(K).concat([ct,ut,ft,ht,pt,dt]),gt=[];gt[5121]=1,gt[5126]=4,gt[36193]=2,gt[5123]=2,gt[5125]=4;var vt=[];vt[32854]=2,vt[32855]=2,vt[36194]=2,vt[34041]=4,vt[33776]=.5,vt[33777]=.5,vt[33778]=1,vt[33779]=1,vt[35986]=.5,vt[35987]=1,vt[34798]=1,vt[35840]=.5,vt[35841]=.25,vt[35842]=.5,vt[35843]=.25,vt[36196]=.5;var yt=[];yt[32854]=2,yt[32855]=2,yt[36194]=2,yt[33189]=2,yt[36168]=1,yt[34041]=4,yt[35907]=4,yt[34836]=16,yt[34842]=8,yt[34843]=6;var xt=function(t,e,r,n,i){function a(t){this.id=c++,this.refCount=1,this.renderbuffer=t,this.format=32854,this.height=this.width=0,i.profile&&(this.stats={size:0})}function o(e){var r=e.renderbuffer;t.bindRenderbuffer(36161,null),t.deleteRenderbuffer(r),e.renderbuffer=null,e.refCount=0,delete u[e.id],n.renderbufferCount--}var s={rgba4:32854,rgb565:36194,\"rgb5 a1\":32855,depth:33189,stencil:36168,\"depth stencil\":34041};e.ext_srgb&&(s.srgba=35907),e.ext_color_buffer_half_float&&(s.rgba16f=34842,s.rgb16f=34843),e.webgl_color_buffer_float&&(s.rgba32f=34836);var l=[];Object.keys(s).forEach((function(t){l[s[t]]=t}));var c=0,u={};return a.prototype.decRef=function(){0>=--this.refCount&&o(this)},i.profile&&(n.getTotalRenderbufferSize=function(){var t=0;return Object.keys(u).forEach((function(e){t+=u[e].stats.size})),t}),{create:function(e,r){function o(e,r){var n=0,a=0,u=32854;if(\"object\"==typeof e&&e?(\"shape\"in e?(n=0|(a=e.shape)[0],a=0|a[1]):(\"radius\"in e&&(n=a=0|e.radius),\"width\"in e&&(n=0|e.width),\"height\"in e&&(a=0|e.height)),\"format\"in e&&(u=s[e.format])):\"number\"==typeof e?(n=0|e,a=\"number\"==typeof r?0|r:n):e||(n=a=1),n!==c.width||a!==c.height||u!==c.format)return o.width=c.width=n,o.height=c.height=a,c.format=u,t.bindRenderbuffer(36161,c.renderbuffer),t.renderbufferStorage(36161,u,n,a),i.profile&&(c.stats.size=yt[c.format]*c.width*c.height),o.format=l[c.format],o}var c=new a(t.createRenderbuffer());return u[c.id]=c,n.renderbufferCount++,o(e,r),o.resize=function(e,r){var n=0|e,a=0|r||n;return n===c.width&&a===c.height||(o.width=c.width=n,o.height=c.height=a,t.bindRenderbuffer(36161,c.renderbuffer),t.renderbufferStorage(36161,c.format,n,a),i.profile&&(c.stats.size=yt[c.format]*c.width*c.height)),o},o._reglType=\"renderbuffer\",o._renderbuffer=c,i.profile&&(o.stats=c.stats),o.destroy=function(){c.decRef()},o},clear:function(){Z(u).forEach(o)},restore:function(){Z(u).forEach((function(e){e.renderbuffer=t.createRenderbuffer(),t.bindRenderbuffer(36161,e.renderbuffer),t.renderbufferStorage(36161,e.format,e.width,e.height)})),t.bindRenderbuffer(36161,null)}}},bt=[];bt[6408]=4,bt[6407]=3;var _t=[];_t[5121]=1,_t[5126]=4,_t[36193]=2;var wt=[\"x\",\"y\",\"z\",\"w\"],Tt=\"blend.func blend.equation stencil.func stencil.opFront stencil.opBack sample.coverage viewport scissor.box polygonOffset.offset\".split(\" \"),kt={0:0,1:1,zero:0,one:1,\"src color\":768,\"one minus src color\":769,\"src alpha\":770,\"one minus src alpha\":771,\"dst color\":774,\"one minus dst color\":775,\"dst alpha\":772,\"one minus dst alpha\":773,\"constant color\":32769,\"one minus constant color\":32770,\"constant alpha\":32771,\"one minus constant alpha\":32772,\"src alpha saturate\":776},Mt={never:512,less:513,\"<\":513,equal:514,\"=\":514,\"==\":514,\"===\":514,lequal:515,\"<=\":515,greater:516,\">\":516,notequal:517,\"!=\":517,\"!==\":517,gequal:518,\">=\":518,always:519},At={0:0,zero:0,keep:7680,replace:7681,increment:7682,decrement:7683,\"increment wrap\":34055,\"decrement wrap\":34056,invert:5386},St={cw:2304,ccw:2305},Et=new D(!1,!1,!1,(function(){}));return function(t){function e(){if(0===J.length)w&&w.update(),tt=null;else{tt=H.next(e),f();for(var t=J.length-1;0<=t;--t){var r=J[t];r&&r(P,null,0)}g.flush(),w&&w.update()}}function r(){!tt&&0<J.length&&(tt=H.next(e))}function n(){tt&&(H.cancel(e),tt=null)}function a(t){t.preventDefault(),n(),K.forEach((function(t){t()}))}function o(t){g.getError(),y.restore(),R.restore(),O.restore(),F.restore(),B.restore(),V.restore(),z.restore(),w&&w.restore(),Y.procs.refresh(),r(),Q.forEach((function(t){t()}))}function s(t){function e(t){var e={},r={};return Object.keys(t).forEach((function(n){var i=t[n];q.isDynamic(i)?r[n]=q.unbox(i,n):e[n]=i})),{dynamic:r,static:e}}var r=e(t.context||{}),n=e(t.uniforms||{}),i=e(t.attributes||{}),a=e(function(t){function e(t){if(t in r){var e=r[t];delete r[t],Object.keys(e).forEach((function(n){r[t+\".\"+n]=e[n]}))}}var r=U({},t);return delete r.uniforms,delete r.attributes,delete r.context,delete r.vao,\"stencil\"in r&&r.stencil.op&&(r.stencil.opBack=r.stencil.opFront=r.stencil.op,delete r.stencil.op),e(\"blend\"),e(\"depth\"),e(\"cull\"),e(\"stencil\"),e(\"polygonOffset\"),e(\"scissor\"),e(\"sample\"),\"vao\"in t&&(r.vao=t.vao),r}(t));t={gpuTime:0,cpuTime:0,count:0};var o=(r=Y.compile(a,i,n,r,t)).draw,s=r.batch,l=r.scope,c=[];return U((function(t,e){var r;if(\"function\"==typeof t)return l.call(this,null,t,0);if(\"function\"==typeof e)if(\"number\"==typeof t)for(r=0;r<t;++r)l.call(this,null,e,r);else{if(!Array.isArray(t))return l.call(this,t,e,0);for(r=0;r<t.length;++r)l.call(this,t[r],e,r)}else if(\"number\"==typeof t){if(0<t)return s.call(this,function(t){for(;c.length<t;)c.push(null);return c}(0|t),0|t)}else{if(!Array.isArray(t))return o.call(this,t);if(t.length)return s.call(this,t,t.length)}}),{stats:t})}function l(t,e){var r=0;Y.procs.poll();var n=e.color;n&&(g.clearColor(+n[0]||0,+n[1]||0,+n[2]||0,+n[3]||0),r|=16384),\"depth\"in e&&(g.clearDepth(+e.depth),r|=256),\"stencil\"in e&&(g.clearStencil(0|e.stencil),r|=1024),g.clear(r)}function c(t){return J.push(t),r(),{cancel:function(){var e=j(J,t);J[e]=function t(){var e=j(J,t);J[e]=J[J.length-1],--J.length,0>=J.length&&n()}}}}function u(){var t=X.viewport,e=X.scissor_box;t[0]=t[1]=e[0]=e[1]=0,P.viewportWidth=P.framebufferWidth=P.drawingBufferWidth=t[2]=e[2]=g.drawingBufferWidth,P.viewportHeight=P.framebufferHeight=P.drawingBufferHeight=t[3]=e[3]=g.drawingBufferHeight}function f(){P.tick+=1,P.time=m(),u(),Y.procs.poll()}function h(){u(),Y.procs.refresh(),w&&w.update()}function m(){return(G()-T)/1e3}if(!(t=i(t)))return null;var g=t.gl,v=g.getContextAttributes();g.isContextLost();var y=function(t,e){function r(e){var r;e=e.toLowerCase();try{r=n[e]=t.getExtension(e)}catch(t){}return!!r}for(var n={},i=0;i<e.extensions.length;++i){var a=e.extensions[i];if(!r(a))return e.onDestroy(),e.onDone('\"'+a+'\" extension is not supported by the current WebGL context, try upgrading your system or a different browser'),null}return e.optionalExtensions.forEach(r),{extensions:n,restore:function(){Object.keys(n).forEach((function(t){if(n[t]&&!r(t))throw Error(\"(regl): error restoring extension \"+t)}))}}}(g,t);if(!y)return null;var x=function(){var t={\"\":0},e=[\"\"];return{id:function(r){var n=t[r];return n||(n=t[r]=e.length,e.push(r),n)},str:function(t){return e[t]}}}(),b={vaoCount:0,bufferCount:0,elementsCount:0,framebufferCount:0,shaderCount:0,textureCount:0,cubeCount:0,renderbufferCount:0,maxTextureUnits:0},_=y.extensions,w=function(t,e){function r(){this.endQueryIndex=this.startQueryIndex=-1,this.sum=0,this.stats=null}function n(t,e,n){var i=o.pop()||new r;i.startQueryIndex=t,i.endQueryIndex=e,i.sum=0,i.stats=n,s.push(i)}if(!e.ext_disjoint_timer_query)return null;var i=[],a=[],o=[],s=[],l=[],c=[];return{beginQuery:function(t){var r=i.pop()||e.ext_disjoint_timer_query.createQueryEXT();e.ext_disjoint_timer_query.beginQueryEXT(35007,r),a.push(r),n(a.length-1,a.length,t)},endQuery:function(){e.ext_disjoint_timer_query.endQueryEXT(35007)},pushScopeStats:n,update:function(){var t,r;if(0!==(t=a.length)){c.length=Math.max(c.length,t+1),l.length=Math.max(l.length,t+1),l[0]=0;var n=c[0]=0;for(r=t=0;r<a.length;++r){var u=a[r];e.ext_disjoint_timer_query.getQueryObjectEXT(u,34919)?(n+=e.ext_disjoint_timer_query.getQueryObjectEXT(u,34918),i.push(u)):a[t++]=u,l[r+1]=n,c[r+1]=t}for(a.length=t,r=t=0;r<s.length;++r){var f=(n=s[r]).startQueryIndex;u=n.endQueryIndex;n.sum+=l[u]-l[f],f=c[f],(u=c[u])===f?(n.stats.gpuTime+=n.sum/1e6,o.push(n)):(n.startQueryIndex=f,n.endQueryIndex=u,s[t++]=n)}s.length=t}},getNumPendingQueries:function(){return a.length},clear:function(){i.push.apply(i,a);for(var t=0;t<i.length;t++)e.ext_disjoint_timer_query.deleteQueryEXT(i[t]);a.length=0,i.length=0},restore:function(){a.length=0,i.length=0}}}(0,_),T=G(),A=g.drawingBufferWidth,C=g.drawingBufferHeight,P={tick:0,time:0,viewportWidth:A,viewportHeight:C,framebufferWidth:A,framebufferHeight:C,drawingBufferWidth:A,drawingBufferHeight:C,pixelRatio:t.pixelRatio},I=W(g,_),O=p(g,b,t,(function(t){return z.destroyBuffer(t)})),z=S(g,_,I,b,O),D=d(g,_,O,b),R=E(g,x,b,t),F=k(g,_,I,(function(){Y.procs.poll()}),P,b,t),B=xt(g,_,0,b,t),V=M(g,_,I,F,B,b),Y=N(g,x,_,I,O,D,0,V,{},z,R,{elements:null,primitive:4,count:-1,offset:0,instances:-1},P,w,t),X=(x=L(g,V,Y.procs.poll,P),Y.next),Z=g.canvas,J=[],K=[],Q=[],$=[t.onDestroy],tt=null;Z&&(Z.addEventListener(\"webglcontextlost\",a,!1),Z.addEventListener(\"webglcontextrestored\",o,!1));var et=V.setFBO=s({framebuffer:q.define.call(null,1,\"framebuffer\")});return h(),v=U(s,{clear:function(t){if(\"framebuffer\"in t)if(t.framebuffer&&\"framebufferCube\"===t.framebuffer_reglType)for(var e=0;6>e;++e)et(U({framebuffer:t.framebuffer.faces[e]},t),l);else et(t,l);else l(0,t)},prop:q.define.bind(null,1),context:q.define.bind(null,2),this:q.define.bind(null,3),draw:s({}),buffer:function(t){return O.create(t,34962,!1,!1)},elements:function(t){return D.create(t,!1)},texture:F.create2D,cube:F.createCube,renderbuffer:B.create,framebuffer:V.create,framebufferCube:V.createCube,vao:z.createVAO,attributes:v,frame:c,on:function(t,e){var r;switch(t){case\"frame\":return c(e);case\"lost\":r=K;break;case\"restore\":r=Q;break;case\"destroy\":r=$}return r.push(e),{cancel:function(){for(var t=0;t<r.length;++t)if(r[t]===e){r[t]=r[r.length-1],r.pop();break}}}},limits:I,hasExtension:function(t){return 0<=I.extensions.indexOf(t.toLowerCase())},read:x,destroy:function(){J.length=0,n(),Z&&(Z.removeEventListener(\"webglcontextlost\",a),Z.removeEventListener(\"webglcontextrestored\",o)),R.clear(),V.clear(),B.clear(),F.clear(),D.clear(),O.clear(),z.clear(),w&&w.clear(),$.forEach((function(t){t()}))},_gl:g,_refresh:h,poll:function(){f(),w&&w.update()},now:m,stats:b}),t.onDone(null,v),v}}))},{}],537:[function(t,e,r){\n",
       "/*!\n",
       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT License.\n",
       " */\n",
       "\"use strict\";var n,i=\"\";e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"expected a string\");if(1===e)return t;if(2===e)return t+t;var r=t.length*e;if(n!==t||void 0===n)n=t,i=\"\";else if(i.length>=r)return i.substr(0,r);for(;r>i.length&&e>1;)1&e&&(i+=t),e>>=1,t+=t;return i=(i+=t).substr(0,r)}},{}],538:[function(t,e,r){(function(t){(function(){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],539:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,i=e-2;i>=0;--i){var a=r,o=t[i];(l=o-((r=a+o)-a))&&(t[--n]=r,r=l)}var s=0;for(i=n;i<e;++i){var l;a=t[i];(l=(o=r)-((r=a+o)-a))&&(t[s++]=l)}return t[s++]=r,t.length=s,t}},{}],540:[function(t,e,r){\"use strict\";var n=t(\"two-product\"),i=t(\"robust-sum\"),a=t(\"robust-scale\"),o=t(\"robust-compress\");function s(t,e){for(var r=new Array(t.length-1),n=1;n<t.length;++n)for(var i=r[n-1]=new Array(t.length-1),a=0,o=0;a<t.length;++a)a!==e&&(i[o++]=t[n][a]);return r}function l(t){for(var e=new Array(t),r=0;r<t;++r){e[r]=new Array(t);for(var n=0;n<t;++n)e[r][n]=[\"m[\",r,\"][\",n,\"]\"].join(\"\")}return e}function c(t){if(2===t.length)return[\"sum(prod(\",t[0][0],\",\",t[1][1],\"),prod(-\",t[0][1],\",\",t[1][0],\"))\"].join(\"\");for(var e=[],r=0;r<t.length;++r)e.push([\"scale(\",c(s(t,r)),\",\",(n=r,1&n?\"-\":\"\"),t[0][r],\")\"].join(\"\"));return function t(e){if(1===e.length)return e[0];if(2===e.length)return[\"sum(\",e[0],\",\",e[1],\")\"].join(\"\");var r=e.length>>1;return[\"sum(\",t(e.slice(0,r)),\",\",t(e.slice(r)),\")\"].join(\"\")}(e);var n}function u(t){return new Function(\"sum\",\"scale\",\"prod\",\"compress\",[\"function robustDeterminant\",t,\"(m){return compress(\",c(l(t)),\")};return robustDeterminant\",t].join(\"\"))(i,a,n,o)}var f=[function(){return[0]},function(t){return[t[0][0]]}];!function(){for(;f.length<6;)f.push(u(f.length));for(var t=[],r=[\"function robustDeterminant(m){switch(m.length){\"],n=0;n<6;++n)t.push(\"det\"+n),r.push(\"case \",n,\":return det\",n,\"(m);\");r.push(\"}var det=CACHE[m.length];if(!det)det=CACHE[m.length]=gen(m.length);return det(m);}return robustDeterminant\"),t.push(\"CACHE\",\"gen\",r.join(\"\"));var i=Function.apply(void 0,t);for(e.exports=i.apply(void 0,f.concat([f,u])),n=0;n<f.length;++n)e.exports[n]=f[n]}()},{\"robust-compress\":539,\"robust-scale\":546,\"robust-sum\":549,\"two-product\":600}],541:[function(t,e,r){\"use strict\";var n=t(\"two-product\"),i=t(\"robust-sum\");e.exports=function(t,e){for(var r=n(t[0],e[0]),a=1;a<t.length;++a)r=i(r,n(t[a],e[a]));return r}},{\"robust-sum\":549,\"two-product\":600}],542:[function(t,e,r){\"use strict\";var n=t(\"two-product\"),i=t(\"robust-sum\"),a=t(\"robust-subtract\"),o=t(\"robust-scale\");function s(t,e){for(var r=new Array(t.length-1),n=1;n<t.length;++n)for(var i=r[n-1]=new Array(t.length-1),a=0,o=0;a<t.length;++a)a!==e&&(i[o++]=t[n][a]);return r}function l(t){if(1===t.length)return t[0];if(2===t.length)return[\"sum(\",t[0],\",\",t[1],\")\"].join(\"\");var e=t.length>>1;return[\"sum(\",l(t.slice(0,e)),\",\",l(t.slice(e)),\")\"].join(\"\")}function c(t,e){if(\"m\"===t.charAt(0)){if(\"w\"===e.charAt(0)){var r=t.split(\"[\");return[\"w\",e.substr(1),\"m\",r[0].substr(1)].join(\"\")}return[\"prod(\",t,\",\",e,\")\"].join(\"\")}return c(e,t)}function u(t){if(2===t.length)return[[\"diff(\",c(t[0][0],t[1][1]),\",\",c(t[1][0],t[0][1]),\")\"].join(\"\")];for(var e=[],r=0;r<t.length;++r)e.push([\"scale(\",l(u(s(t,r))),\",\",(n=r,!0&n?\"-\":\"\"),t[0][r],\")\"].join(\"\"));return e;var n}function f(t,e){for(var r=[],n=0;n<e-2;++n)r.push([\"prod(m\",t,\"[\",n,\"],m\",t,\"[\",n,\"])\"].join(\"\"));return l(r)}function h(t){for(var e=[],r=[],c=function(t){for(var e=new Array(t),r=0;r<t;++r){e[r]=new Array(t);for(var n=0;n<t;++n)e[r][n]=[\"m\",n,\"[\",t-r-2,\"]\"].join(\"\")}return e}(t),h=0;h<t;++h)c[0][h]=\"1\",c[t-1][h]=\"w\"+h;for(h=0;h<t;++h)0==(1&h)?e.push.apply(e,u(s(c,h))):r.push.apply(r,u(s(c,h)));var p=l(e),d=l(r),m=\"exactInSphere\"+t,g=[];for(h=0;h<t;++h)g.push(\"m\"+h);var v=[\"function \",m,\"(\",g.join(),\"){\"];for(h=0;h<t;++h){v.push(\"var w\",h,\"=\",f(h,t),\";\");for(var y=0;y<t;++y)y!==h&&v.push(\"var w\",h,\"m\",y,\"=scale(w\",h,\",m\",y,\"[0]);\")}return v.push(\"var p=\",p,\",n=\",d,\",d=diff(p,n);return d[d.length-1];}return \",m),new Function(\"sum\",\"diff\",\"prod\",\"scale\",v.join(\"\"))(i,a,n,o)}var p=[function(){return 0},function(){return 0},function(){return 0}];function d(t){var e=p[t.length];return e||(e=p[t.length]=h(t.length)),e.apply(void 0,t)}!function(){for(;p.length<=6;)p.push(h(p.length));for(var t=[],r=[\"slow\"],n=0;n<=6;++n)t.push(\"a\"+n),r.push(\"o\"+n);var i=[\"function testInSphere(\",t.join(),\"){switch(arguments.length){case 0:case 1:return 0;\"];for(n=2;n<=6;++n)i.push(\"case \",n,\":return o\",n,\"(\",t.slice(0,n).join(),\");\");i.push(\"}var s=new Array(arguments.length);for(var i=0;i<arguments.length;++i){s[i]=arguments[i]};return slow(s);}return testInSphere\"),r.push(i.join(\"\"));var a=Function.apply(void 0,r);for(e.exports=a.apply(void 0,[d].concat(p)),n=0;n<=6;++n)e.exports[n]=p[n]}()},{\"robust-scale\":546,\"robust-subtract\":548,\"robust-sum\":549,\"two-product\":600}],543:[function(t,e,r){\"use strict\";var n=t(\"robust-determinant\");function i(t){for(var e=\"robustLinearSolve\"+t+\"d\",r=[\"function \",e,\"(A,b){return [\"],i=0;i<t;++i){r.push(\"det([\");for(var a=0;a<t;++a){a>0&&r.push(\",\"),r.push(\"[\");for(var o=0;o<t;++o)o>0&&r.push(\",\"),o===i?r.push(\"+b[\",a,\"]\"):r.push(\"+A[\",a,\"][\",o,\"]\");r.push(\"]\")}r.push(\"]),\")}r.push(\"det(A)]}return \",e);var s=new Function(\"det\",r.join(\"\"));return s(t<6?n[t]:n)}var a=[function(){return[0]},function(t,e){return[[e[0]],[t[0][0]]]}];!function(){for(;a.length<6;)a.push(i(a.length));for(var t=[],r=[\"function dispatchLinearSolve(A,b){switch(A.length){\"],n=0;n<6;++n)t.push(\"s\"+n),r.push(\"case \",n,\":return s\",n,\"(A,b);\");r.push(\"}var s=CACHE[A.length];if(!s)s=CACHE[A.length]=g(A.length);return s(A,b)}return dispatchLinearSolve\"),t.push(\"CACHE\",\"g\",r.join(\"\"));var o=Function.apply(void 0,t);for(e.exports=o.apply(void 0,a.concat([a,i])),n=0;n<6;++n)e.exports[n]=a[n]}()},{\"robust-determinant\":540}],544:[function(t,e,r){\"use strict\";var n=t(\"two-product\"),i=t(\"robust-sum\"),a=t(\"robust-scale\"),o=t(\"robust-subtract\");function s(t,e){for(var r=new Array(t.length-1),n=1;n<t.length;++n)for(var i=r[n-1]=new Array(t.length-1),a=0,o=0;a<t.length;++a)a!==e&&(i[o++]=t[n][a]);return r}function l(t){if(1===t.length)return t[0];if(2===t.length)return[\"sum(\",t[0],\",\",t[1],\")\"].join(\"\");var e=t.length>>1;return[\"sum(\",l(t.slice(0,e)),\",\",l(t.slice(e)),\")\"].join(\"\")}function c(t){if(2===t.length)return[[\"sum(prod(\",t[0][0],\",\",t[1][1],\"),prod(-\",t[0][1],\",\",t[1][0],\"))\"].join(\"\")];for(var e=[],r=0;r<t.length;++r)e.push([\"scale(\",l(c(s(t,r))),\",\",(n=r,1&n?\"-\":\"\"),t[0][r],\")\"].join(\"\"));return e;var n}function u(t){for(var e=[],r=[],u=function(t){for(var e=new Array(t),r=0;r<t;++r){e[r]=new Array(t);for(var n=0;n<t;++n)e[r][n]=[\"m\",n,\"[\",t-r-1,\"]\"].join(\"\")}return e}(t),f=[],h=0;h<t;++h)0==(1&h)?e.push.apply(e,c(s(u,h))):r.push.apply(r,c(s(u,h))),f.push(\"m\"+h);var p=l(e),d=l(r),m=\"orientation\"+t+\"Exact\",g=[\"function \",m,\"(\",f.join(),\"){var p=\",p,\",n=\",d,\",d=sub(p,n);return d[d.length-1];};return \",m].join(\"\");return new Function(\"sum\",\"prod\",\"scale\",\"sub\",g)(i,n,a,o)}var f=u(3),h=u(4),p=[function(){return 0},function(){return 0},function(t,e){return e[0]-t[0]},function(t,e,r){var n,i=(t[1]-r[1])*(e[0]-r[0]),a=(t[0]-r[0])*(e[1]-r[1]),o=i-a;if(i>0){if(a<=0)return o;n=i+a}else{if(!(i<0))return o;if(a>=0)return o;n=-(i+a)}var s=33306690738754716e-32*n;return o>=s||o<=-s?o:f(t,e,r)},function(t,e,r,n){var i=t[0]-n[0],a=e[0]-n[0],o=r[0]-n[0],s=t[1]-n[1],l=e[1]-n[1],c=r[1]-n[1],u=t[2]-n[2],f=e[2]-n[2],p=r[2]-n[2],d=a*c,m=o*l,g=o*s,v=i*c,y=i*l,x=a*s,b=u*(d-m)+f*(g-v)+p*(y-x),_=7771561172376103e-31*((Math.abs(d)+Math.abs(m))*Math.abs(u)+(Math.abs(g)+Math.abs(v))*Math.abs(f)+(Math.abs(y)+Math.abs(x))*Math.abs(p));return b>_||-b>_?b:h(t,e,r,n)}];function d(t){var e=p[t.length];return e||(e=p[t.length]=u(t.length)),e.apply(void 0,t)}!function(){for(;p.length<=5;)p.push(u(p.length));for(var t=[],r=[\"slow\"],n=0;n<=5;++n)t.push(\"a\"+n),r.push(\"o\"+n);var i=[\"function getOrientation(\",t.join(),\"){switch(arguments.length){case 0:case 1:return 0;\"];for(n=2;n<=5;++n)i.push(\"case \",n,\":return o\",n,\"(\",t.slice(0,n).join(),\");\");i.push(\"}var s=new Array(arguments.length);for(var i=0;i<arguments.length;++i){s[i]=arguments[i]};return slow(s);}return getOrientation\"),r.push(i.join(\"\"));var a=Function.apply(void 0,r);for(e.exports=a.apply(void 0,[d].concat(p)),n=0;n<=5;++n)e.exports[n]=p[n]}()},{\"robust-scale\":546,\"robust-subtract\":548,\"robust-sum\":549,\"two-product\":600}],545:[function(t,e,r){\"use strict\";var n=t(\"robust-sum\"),i=t(\"robust-scale\");e.exports=function(t,e){if(1===t.length)return i(e,t[0]);if(1===e.length)return i(t,e[0]);if(0===t.length||0===e.length)return[0];var r=[0];if(t.length<e.length)for(var a=0;a<t.length;++a)r=n(r,i(e,t[a]));else for(a=0;a<e.length;++a)r=n(r,i(t,e[a]));return r}},{\"robust-scale\":546,\"robust-sum\":549}],546:[function(t,e,r){\"use strict\";var n=t(\"two-product\"),i=t(\"two-sum\");e.exports=function(t,e){var r=t.length;if(1===r){var a=n(t[0],e);return a[0]?a:[a[1]]}var o=new Array(2*r),s=[.1,.1],l=[.1,.1],c=0;n(t[0],e,s),s[0]&&(o[c++]=s[0]);for(var u=1;u<r;++u){n(t[u],e,l);var f=s[1];i(f,l[0],s),s[0]&&(o[c++]=s[0]);var h=l[1],p=s[1],d=h+p,m=p-(d-h);s[1]=d,m&&(o[c++]=m)}s[1]&&(o[c++]=s[1]);0===c&&(o[c++]=0);return o.length=c,o}},{\"two-product\":600,\"two-sum\":601}],547:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i){var a=n(t,r,i),o=n(e,r,i);if(a>0&&o>0||a<0&&o<0)return!1;var s=n(r,t,e),l=n(i,t,e);if(s>0&&l>0||s<0&&l<0)return!1;if(0===a&&0===o&&0===s&&0===l)return function(t,e,r,n){for(var i=0;i<2;++i){var a=t[i],o=e[i],s=Math.min(a,o),l=Math.max(a,o),c=r[i],u=n[i],f=Math.min(c,u);if(Math.max(c,u)<s||l<f)return!1}return!0}(t,e,r,i);return!0};var n=t(\"robust-orientation\")[3]},{\"robust-orientation\":544}],548:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=0|t.length,n=0|e.length;if(1===r&&1===n)return function(t,e){var r=t+e,n=r-t,i=t-(r-n)+(e-n);if(i)return[i,r];return[r]}(t[0],-e[0]);var i,a,o=new Array(r+n),s=0,l=0,c=0,u=Math.abs,f=t[l],h=u(f),p=-e[c],d=u(p);h<d?(a=f,(l+=1)<r&&(f=t[l],h=u(f))):(a=p,(c+=1)<n&&(p=-e[c],d=u(p)));l<r&&h<d||c>=n?(i=f,(l+=1)<r&&(f=t[l],h=u(f))):(i=p,(c+=1)<n&&(p=-e[c],d=u(p)));var m,g,v=i+a,y=v-i,x=a-y,b=x,_=v;for(;l<r&&c<n;)h<d?(i=f,(l+=1)<r&&(f=t[l],h=u(f))):(i=p,(c+=1)<n&&(p=-e[c],d=u(p))),(x=(a=b)-(y=(v=i+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m;for(;l<r;)(x=(a=b)-(y=(v=(i=f)+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m,(l+=1)<r&&(f=t[l]);for(;c<n;)(x=(a=b)-(y=(v=(i=p)+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m,(c+=1)<n&&(p=-e[c]);b&&(o[s++]=b);_&&(o[s++]=_);s||(o[s++]=0);return o.length=s,o}},{}],549:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=0|t.length,n=0|e.length;if(1===r&&1===n)return function(t,e){var r=t+e,n=r-t,i=t-(r-n)+(e-n);if(i)return[i,r];return[r]}(t[0],e[0]);var i,a,o=new Array(r+n),s=0,l=0,c=0,u=Math.abs,f=t[l],h=u(f),p=e[c],d=u(p);h<d?(a=f,(l+=1)<r&&(f=t[l],h=u(f))):(a=p,(c+=1)<n&&(p=e[c],d=u(p)));l<r&&h<d||c>=n?(i=f,(l+=1)<r&&(f=t[l],h=u(f))):(i=p,(c+=1)<n&&(p=e[c],d=u(p)));var m,g,v=i+a,y=v-i,x=a-y,b=x,_=v;for(;l<r&&c<n;)h<d?(i=f,(l+=1)<r&&(f=t[l],h=u(f))):(i=p,(c+=1)<n&&(p=e[c],d=u(p))),(x=(a=b)-(y=(v=i+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m;for(;l<r;)(x=(a=b)-(y=(v=(i=f)+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m,(l+=1)<r&&(f=t[l]);for(;c<n;)(x=(a=b)-(y=(v=(i=p)+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m,(c+=1)<n&&(p=e[c]);b&&(o[s++]=b);_&&(o[s++]=_);s||(o[s++]=0);return o.length=s,o}},{}],550:[function(t,e,r){var n=t(\"buffer\"),i=n.Buffer;function a(t,e){for(var r in t)e[r]=t[r]}function o(t,e,r){return i(t,e,r)}i.from&&i.alloc&&i.allocUnsafe&&i.allocUnsafeSlow?e.exports=n:(a(n,r),r.Buffer=o),o.prototype=Object.create(i.prototype),a(i,o),o.from=function(t,e,r){if(\"number\"==typeof t)throw new TypeError(\"Argument must not be a number\");return i(t,e,r)},o.alloc=function(t,e,r){if(\"number\"!=typeof t)throw new TypeError(\"Argument must be a number\");var n=i(t);return void 0!==e?\"string\"==typeof r?n.fill(e,r):n.fill(e):n.fill(0),n},o.allocUnsafe=function(t){if(\"number\"!=typeof t)throw new TypeError(\"Argument must be a number\");return i(t)},o.allocUnsafeSlow=function(t){if(\"number\"!=typeof t)throw new TypeError(\"Argument must be a number\");return n.SlowBuffer(t)}},{buffer:117}],551:[function(t,e,r){\"use strict\";e.exports=function(t){return t<0?-1:t>0?1:0}},{}],552:[function(t,e,r){\"use strict\";e.exports=function(t){return i(n(t))};var n=t(\"boundary-cells\"),i=t(\"reduce-simplicial-complex\")},{\"boundary-cells\":107,\"reduce-simplicial-complex\":531}],553:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,s){r=r||0,void 0===s&&(s=function(t){for(var e=t.length,r=0,n=0;n<e;++n)r=0|Math.max(r,t[n].length);return r-1}(t));if(0===t.length||s<1)return{cells:[],vertexIds:[],vertexWeights:[]};var l=function(t,e){for(var r=t.length,n=i.mallocUint8(r),a=0;a<r;++a)n[a]=t[a]<e|0;return n}(e,+r),c=function(t,e){for(var r=t.length,o=e*(e+1)/2*r|0,s=i.mallocUint32(2*o),l=0,c=0;c<r;++c)for(var u=t[c],f=(e=u.length,0);f<e;++f)for(var h=0;h<f;++h){var p=u[h],d=u[f];s[l++]=0|Math.min(p,d),s[l++]=0|Math.max(p,d)}a(n(s,[l/2|0,2]));var m=2;for(c=2;c<l;c+=2)s[c-2]===s[c]&&s[c-1]===s[c+1]||(s[m++]=s[c],s[m++]=s[c+1]);return n(s,[m/2|0,2])}(t,s),u=function(t,e,r,a){for(var o=t.data,s=t.shape[0],l=i.mallocDouble(s),c=0,u=0;u<s;++u){var f=o[2*u],h=o[2*u+1];if(r[f]!==r[h]){var p=e[f],d=e[h];o[2*c]=f,o[2*c+1]=h,l[c++]=(d-a)/(d-p)}}return t.shape[0]=c,n(l,[c])}(c,e,l,+r),f=function(t,e){var r=i.mallocInt32(2*e),n=t.shape[0],a=t.data;r[0]=0;for(var o=0,s=0;s<n;++s){var l=a[2*s];if(l!==o){for(r[2*o+1]=s;++o<l;)r[2*o]=s,r[2*o+1]=s;r[2*o]=s}}r[2*o+1]=n;for(;++o<e;)r[2*o]=r[2*o+1]=n;return r}(c,0|e.length),h=o(s)(t,c.data,f,l),p=function(t){for(var e=0|t.shape[0],r=t.data,n=new Array(e),i=0;i<e;++i)n[i]=[r[2*i],r[2*i+1]];return n}(c),d=[].slice.call(u.data,0,u.shape[0]);return i.free(l),i.free(c.data),i.free(u.data),i.free(f),{cells:h,vertexIds:p,vertexWeights:d}};var n=t(\"ndarray\"),i=t(\"typedarray-pool\"),a=t(\"ndarray-sort\"),o=t(\"./lib/codegen\")},{\"./lib/codegen\":554,ndarray:479,\"ndarray-sort\":478,\"typedarray-pool\":613}],554:[function(t,e,r){\"use strict\";e.exports=function(t){var e=a[t];e||(e=a[t]=function(t){var e=0,r=new Array(t+1);r[0]=[[]];for(var a=1;a<=t;++a)for(var o=r[a]=i(a),s=0;s<o.length;++s)e=Math.max(e,o[a].length);var l=[\"function B(C,E,i,j){\",\"var a=Math.min(i,j)|0,b=Math.max(i,j)|0,l=C[2*a],h=C[2*a+1];\",\"while(l<h){\",\"var m=(l+h)>>1,v=E[2*m+1];\",\"if(v===b){return m}\",\"if(b<v){h=m}else{l=m+1}\",\"}\",\"return l;\",\"};\",\"function getContour\",t,\"d(F,E,C,S){\",\"var n=F.length,R=[];\",\"for(var i=0;i<n;++i){var c=F[i],l=c.length;\"];function c(t){if(!(t.length<=0)){l.push(\"R.push(\");for(var e=0;e<t.length;++e){var r=t[e];e>0&&l.push(\",\"),l.push(\"[\");for(var n=0;n<r.length;++n){var i=r[n];n>0&&l.push(\",\"),l.push(\"B(C,E,c[\",i[0],\"],c[\",i[1],\"])\")}l.push(\"]\")}l.push(\");\")}}for(a=t+1;a>1;--a){a<t+1&&l.push(\"else \"),l.push(\"if(l===\",a,\"){\");var u=[];for(s=0;s<a;++s)u.push(\"(S[c[\"+s+\"]]<<\"+s+\")\");l.push(\"var M=\",u.join(\"+\"),\";if(M===0||M===\",(1<<a)-1,\"){continue}switch(M){\");for(o=r[a-1],s=0;s<o.length;++s)l.push(\"case \",s,\":\"),c(o[s]),l.push(\"break;\");l.push(\"}}\")}return l.push(\"}return R;};return getContour\",t,\"d\"),new Function(\"pool\",l.join(\"\"))(n)}(t));return e};var n=t(\"typedarray-pool\"),i=t(\"marching-simplex-table\"),a={}},{\"marching-simplex-table\":458,\"typedarray-pool\":613}],555:[function(t,e,r){\"use strict\";var n=t(\"bit-twiddle\"),i=t(\"union-find\");function a(t,e){var r=t.length,n=t.length-e.length,i=Math.min;if(n)return n;switch(r){case 0:return 0;case 1:return t[0]-e[0];case 2:return(s=t[0]+t[1]-e[0]-e[1])||i(t[0],t[1])-i(e[0],e[1]);case 3:var a=t[0]+t[1],o=e[0]+e[1];if(s=a+t[2]-(o+e[2]))return s;var s,l=i(t[0],t[1]),c=i(e[0],e[1]);return(s=i(l,t[2])-i(c,e[2]))||i(l+t[2],a)-i(c+e[2],o);default:var u=t.slice(0);u.sort();var f=e.slice(0);f.sort();for(var h=0;h<r;++h)if(n=u[h]-f[h])return n;return 0}}function o(t,e){return a(t[0],e[0])}function s(t,e){if(e){for(var r=t.length,n=new Array(r),i=0;i<r;++i)n[i]=[t[i],e[i]];n.sort(o);for(i=0;i<r;++i)t[i]=n[i][0],e[i]=n[i][1];return t}return t.sort(a),t}function l(t){if(0===t.length)return[];for(var e=1,r=t.length,n=1;n<r;++n){var i=t[n];if(a(i,t[n-1])){if(n===e){e++;continue}t[e++]=i}}return t.length=e,t}function c(t,e){for(var r=0,n=t.length-1,i=-1;r<=n;){var o=r+n>>1,s=a(t[o],e);s<=0?(0===s&&(i=o),r=o+1):s>0&&(n=o-1)}return i}function u(t,e){for(var r=new Array(t.length),i=0,o=r.length;i<o;++i)r[i]=[];for(var s=[],l=(i=0,e.length);i<l;++i)for(var u=e[i],f=u.length,h=1,p=1<<f;h<p;++h){s.length=n.popCount(h);for(var d=0,m=0;m<f;++m)h&1<<m&&(s[d++]=u[m]);var g=c(t,s);if(!(g<0))for(;r[g++].push(i),!(g>=t.length||0!==a(t[g],s)););}return r}function f(t,e){if(e<0)return[];for(var r=[],i=(1<<e+1)-1,a=0;a<t.length;++a)for(var o=t[a],l=i;l<1<<o.length;l=n.nextCombination(l)){for(var c=new Array(e+1),u=0,f=0;f<o.length;++f)l&1<<f&&(c[u++]=o[f]);r.push(c)}return s(r)}r.dimension=function(t){for(var e=0,r=Math.max,n=0,i=t.length;n<i;++n)e=r(e,t[n].length);return e-1},r.countVertices=function(t){for(var e=-1,r=Math.max,n=0,i=t.length;n<i;++n)for(var a=t[n],o=0,s=a.length;o<s;++o)e=r(e,a[o]);return e+1},r.cloneCells=function(t){for(var e=new Array(t.length),r=0,n=t.length;r<n;++r)e[r]=t[r].slice(0);return e},r.compareCells=a,r.normalize=s,r.unique=l,r.findCell=c,r.incidence=u,r.dual=function(t,e){if(!e)return u(l(f(t,0)),t);for(var r=new Array(e),n=0;n<e;++n)r[n]=[];n=0;for(var i=t.length;n<i;++n)for(var a=t[n],o=0,s=a.length;o<s;++o)r[a[o]].push(n);return r},r.explode=function(t){for(var e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0|i.length,o=1,l=1<<a;o<l;++o){for(var c=[],u=0;u<a;++u)o>>>u&1&&c.push(i[u]);e.push(c)}return s(e)},r.skeleton=f,r.boundary=function(t){for(var e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;++a){for(var l=new Array(i.length-1),c=0,u=0;c<o;++c)c!==a&&(l[u++]=i[c]);e.push(l)}return s(e)},r.connectedComponents=function(t,e){return e?function(t,e){for(var r=new i(e),n=0;n<t.length;++n)for(var a=t[n],o=0;o<a.length;++o)for(var s=o+1;s<a.length;++s)r.link(a[o],a[s]);var l=[],c=r.ranks;for(n=0;n<c.length;++n)c[n]=-1;for(n=0;n<t.length;++n){var u=r.find(t[n][0]);c[u]<0?(c[u]=l.length,l.push([t[n].slice(0)])):l[c[u]].push(t[n].slice(0))}return l}(t,e):function(t){for(var e=l(s(f(t,0))),r=new i(e.length),n=0;n<t.length;++n)for(var a=t[n],o=0;o<a.length;++o)for(var u=c(e,[a[o]]),h=o+1;h<a.length;++h)r.link(u,c(e,[a[h]]));var p=[],d=r.ranks;for(n=0;n<d.length;++n)d[n]=-1;for(n=0;n<t.length;++n){var m=r.find(c(e,[t[n][0]]));d[m]<0?(d[m]=p.length,p.push([t[n].slice(0)])):p[d[m]].push(t[n].slice(0))}return p}(t)}},{\"bit-twiddle\":104,\"union-find\":614}],556:[function(t,e,r){arguments[4][104][0].apply(r,arguments)},{dup:104}],557:[function(t,e,r){arguments[4][555][0].apply(r,arguments)},{\"bit-twiddle\":556,dup:555,\"union-find\":558}],558:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n,n.prototype.length=function(){return this.roots.length},n.prototype.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},n.prototype.find=function(t){for(var e=this.roots;e[t]!==t;){var r=e[t];e[t]=e[r],t=r}return t},n.prototype.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],559:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){for(var a=e.length,o=t.length,s=new Array(a),l=new Array(a),c=new Array(a),u=new Array(a),f=0;f<a;++f)s[f]=l[f]=-1,c[f]=1/0,u[f]=!1;for(f=0;f<o;++f){var h=t[f];if(2!==h.length)throw new Error(\"Input must be a graph\");var p=h[1],d=h[0];-1!==l[d]?l[d]=-2:l[d]=p,-1!==s[p]?s[p]=-2:s[p]=d}function m(t){if(u[t])return 1/0;var r,i,a,o,c,f=s[t],h=l[t];return f<0||h<0?1/0:(r=e[t],i=e[f],a=e[h],o=Math.abs(n(r,i,a)),c=Math.sqrt(Math.pow(i[0]-a[0],2)+Math.pow(i[1]-a[1],2)),o/c)}function g(t,e){var r=k[t],n=k[e];k[t]=n,k[e]=r,M[r]=e,M[n]=t}function v(t){return c[k[t]]}function y(t){return 1&t?t-1>>1:(t>>1)-1}function x(t){for(var e=v(t);;){var r=e,n=2*t+1,i=2*(t+1),a=t;if(n<A){var o=v(n);o<r&&(a=n,r=o)}if(i<A)v(i)<r&&(a=i);if(a===t)return t;g(t,a),t=a}}function b(t){for(var e=v(t);t>0;){var r=y(t);if(r>=0)if(e<v(r)){g(t,r),t=r;continue}return t}}function _(){if(A>0){var t=k[0];return g(0,A-1),A-=1,x(0),t}return-1}function w(t,e){var r=k[t];return c[r]===e?t:(c[r]=-1/0,b(t),_(),c[r]=e,b((A+=1)-1))}function T(t){if(!u[t]){u[t]=!0;var e=s[t],r=l[t];s[r]>=0&&(s[r]=e),l[e]>=0&&(l[e]=r),M[e]>=0&&w(M[e],m(e)),M[r]>=0&&w(M[r],m(r))}}var k=[],M=new Array(a);for(f=0;f<a;++f){(c[f]=m(f))<1/0?(M[f]=k.length,k.push(f)):M[f]=-1}var A=k.length;for(f=A>>1;f>=0;--f)x(f);for(;;){var S=_();if(S<0||c[S]>r)break;T(S)}var E=[];for(f=0;f<a;++f)u[f]||(M[f]=E.length,E.push(e[f].slice()));E.length;function L(t,e){if(t[e]<0)return e;var r=e,n=e;do{var i=t[n];if(!u[n]||i<0||i===n)break;if(i=t[n=i],!u[n]||i<0||i===n)break;n=i,r=t[r]}while(r!==n);for(var a=e;a!==n;a=t[a])t[a]=n;return n}var C=[];return t.forEach((function(t){var e=L(s,t[0]),r=L(l,t[1]);if(e>=0&&r>=0&&e!==r){var n=M[e],i=M[r];n!==i&&C.push([n,i])}})),i.unique(i.normalize(C)),{positions:E,edges:C}};var n=t(\"robust-orientation\"),i=t(\"simplicial-complex\")},{\"robust-orientation\":544,\"simplicial-complex\":557}],560:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,a,o,s;if(e[0][0]<e[1][0])r=e[0],a=e[1];else{if(!(e[0][0]>e[1][0]))return i(e,t);r=e[1],a=e[0]}if(t[0][0]<t[1][0])o=t[0],s=t[1];else{if(!(t[0][0]>t[1][0]))return-i(t,e);o=t[1],s=t[0]}var l=n(r,a,s),c=n(r,a,o);if(l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;if(l=n(s,o,a),c=n(s,o,r),l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;return a[0]-s[0]};var n=t(\"robust-orientation\");function i(t,e){var r,i,a,o;if(e[0][0]<e[1][0])r=e[0],i=e[1];else{if(!(e[0][0]>e[1][0])){var s=Math.min(t[0][1],t[1][1]),l=Math.max(t[0][1],t[1][1]),c=Math.min(e[0][1],e[1][1]),u=Math.max(e[0][1],e[1][1]);return l<c?l-c:s>u?s-u:l-u}r=e[1],i=e[0]}t[0][1]<t[1][1]?(a=t[0],o=t[1]):(a=t[1],o=t[0]);var f=n(i,r,a);return f||((f=n(i,r,o))||o-i)}},{\"robust-orientation\":544}],561:[function(t,e,r){arguments[4][247][0].apply(r,arguments)},{dup:247}],562:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=2*e,n=new Array(r),a=0;a<e;++a){var l=t[a],c=l[0][0]<l[1][0];n[2*a]=new f(l[0][0],l,c,a),n[2*a+1]=new f(l[1][0],l,!c,a)}n.sort((function(t,e){var r=t.x-e.x;return r||((r=t.create-e.create)||Math.min(t.segment[0][1],t.segment[1][1])-Math.min(e.segment[0][1],e.segment[1][1]))}));var h=i(o),p=[],d=[],m=[];for(a=0;a<r;){for(var g=n[a].x,v=[];a<r;){var y=n[a];if(y.x!==g)break;a+=1,y.segment[0][0]===y.x&&y.segment[1][0]===y.x?y.create&&(y.segment[0][1]<y.segment[1][1]?(v.push(new u(y.segment[0][1],y.index,!0,!0)),v.push(new u(y.segment[1][1],y.index,!1,!1))):(v.push(new u(y.segment[1][1],y.index,!0,!1)),v.push(new u(y.segment[0][1],y.index,!1,!0)))):h=y.create?h.insert(y.segment,y.index):h.remove(y.segment)}p.push(h.root),d.push(g),m.push(v)}return new s(p,d,m)};var n=t(\"binary-search-bounds\"),i=t(\"functional-red-black-tree\"),a=t(\"robust-orientation\"),o=t(\"./lib/order-segments\");function s(t,e,r){this.slabs=t,this.coordinates=e,this.horizontal=r}function l(t,e){return t.y-e}function c(t,e){for(var r=null;t;){var n,i,o=t.key;o[0][0]<o[1][0]?(n=o[0],i=o[1]):(n=o[1],i=o[0]);var s=a(n,i,e);if(s<0)t=t.left;else if(s>0)if(e[0]!==o[1][0])r=t,t=t.right;else{if(l=c(t.right,e))return l;t=t.left}else{if(e[0]!==o[1][0])return t;var l;if(l=c(t.right,e))return l;t=t.left}}return r}function u(t,e,r,n){this.y=t,this.index=e,this.start=r,this.closed=n}function f(t,e,r,n){this.x=t,this.segment=e,this.create=r,this.index=n}s.prototype.castUp=function(t){var e=n.le(this.coordinates,t[0]);if(e<0)return-1;this.slabs[e];var r=c(this.slabs[e],t),i=-1;if(r&&(i=r.value),this.coordinates[e]===t[0]){var s=null;if(r&&(s=r.key),e>0){var u=c(this.slabs[e-1],t);u&&(s?o(u.key,s)>0&&(s=u.key,i=u.value):(i=u.value,s=u.key))}var f=this.horizontal[e];if(f.length>0){var h=n.ge(f,t[1],l);if(h<f.length){var p=f[h];if(t[1]===p.y){if(p.closed)return p.index;for(;h<f.length-1&&f[h+1].y===t[1];)if((p=f[h+=1]).closed)return p.index;if(p.y===t[1]&&!p.start){if((h+=1)>=f.length)return i;p=f[h]}}if(p.start)if(s){var d=a(s[0],s[1],[t[0],p.y]);s[0][0]>s[1][0]&&(d=-d),d>0&&(i=p.index)}else i=p.index;else p.y!==t[1]&&(i=p.index)}}}return i}},{\"./lib/order-segments\":560,\"binary-search-bounds\":561,\"functional-red-black-tree\":251,\"robust-orientation\":544}],563:[function(t,e,r){\"use strict\";var n=t(\"robust-dot-product\"),i=t(\"robust-sum\");function a(t,e){var r=i(n(t,e),[e[e.length-1]]);return r[r.length-1]}function o(t,e,r,n){var i=-e/(n-e);i<0?i=0:i>1&&(i=1);for(var a=1-i,o=t.length,s=new Array(o),l=0;l<o;++l)s[l]=i*t[l]+a*r[l];return s}e.exports=function(t,e){for(var r=[],n=[],i=a(t[t.length-1],e),s=t[t.length-1],l=t[0],c=0;c<t.length;++c,s=l){var u=a(l=t[c],e);if(i<0&&u>0||i>0&&u<0){var f=o(s,u,l,i);r.push(f),n.push(f.slice())}u<0?n.push(l.slice()):u>0?r.push(l.slice()):(r.push(l.slice()),n.push(l.slice())),i=u}return{positive:r,negative:n}},e.exports.positive=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l<t.length;++l,i=s){var c=a(s=t[l],e);(n<0&&c>0||n>0&&c<0)&&r.push(o(i,c,s,n)),c>=0&&r.push(s.slice()),n=c}return r},e.exports.negative=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l<t.length;++l,i=s){var c=a(s=t[l],e);(n<0&&c>0||n>0&&c<0)&&r.push(o(i,c,s,n)),c<=0&&r.push(s.slice()),n=c}return r}},{\"robust-dot-product\":541,\"robust-sum\":549}],564:[function(t,e,r){!function(){\"use strict\";var t={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function e(t){return i(o(t),arguments)}function n(t,r){return e.apply(null,[t].concat(r||[]))}function i(r,n){var i,a,o,s,l,c,u,f,h,p=1,d=r.length,m=\"\";for(a=0;a<d;a++)if(\"string\"==typeof r[a])m+=r[a];else if(\"object\"==typeof r[a]){if((s=r[a]).keys)for(i=n[p],o=0;o<s.keys.length;o++){if(null==i)throw new Error(e('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',s.keys[o],s.keys[o-1]));i=i[s.keys[o]]}else i=s.param_no?n[s.param_no]:n[p++];if(t.not_type.test(s.type)&&t.not_primitive.test(s.type)&&i instanceof Function&&(i=i()),t.numeric_arg.test(s.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(e(\"[sprintf] expecting number but found %T\",i));switch(t.number.test(s.type)&&(f=i>=0),s.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,s.width?parseInt(s.width):0);break;case\"e\":i=s.precision?parseFloat(i).toExponential(s.precision):parseFloat(i).toExponential();break;case\"f\":i=s.precision?parseFloat(i).toFixed(s.precision):parseFloat(i);break;case\"g\":i=s.precision?String(Number(i.toPrecision(s.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=s.precision?i.substring(0,s.precision):i;break;case\"t\":i=String(!!i),i=s.precision?i.substring(0,s.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=s.precision?i.substring(0,s.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=s.precision?i.substring(0,s.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}t.json.test(s.type)?m+=i:(!t.number.test(s.type)||f&&!s.sign?h=\"\":(h=f?\"+\":\"-\",i=i.toString().replace(t.sign,\"\")),c=s.pad_char?\"0\"===s.pad_char?\"0\":s.pad_char.charAt(1):\" \",u=s.width-(h+i).length,l=s.width&&u>0?c.repeat(u):\"\",m+=s.align?h+i+l:\"0\"===c?h+l+i:l+h+i)}return m}var a=Object.create(null);function o(e){if(a[e])return a[e];for(var r,n=e,i=[],o=0;n;){if(null!==(r=t.text.exec(n)))i.push(r[0]);else if(null!==(r=t.modulo.exec(n)))i.push(\"%\");else{if(null===(r=t.placeholder.exec(n)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(r[2]){o|=1;var s=[],l=r[2],c=[];if(null===(c=t.key.exec(l)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(s.push(c[1]);\"\"!==(l=l.substring(c[0].length));)if(null!==(c=t.key_access.exec(l)))s.push(c[1]);else{if(null===(c=t.index_access.exec(l)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");s.push(c[1])}r[2]=s}else o|=2;if(3===o)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:r[0],param_no:r[1],keys:r[2],sign:r[3],pad_char:r[4],align:r[5],width:r[6],precision:r[7],type:r[8]})}n=n.substring(r[0].length)}return a[e]=i}void 0!==r&&(r.sprintf=e,r.vsprintf=n),\"undefined\"!=typeof window&&(window.sprintf=e,window.vsprintf=n)}()},{}],565:[function(t,e,r){e.exports=i;var n=t(\"events\").EventEmitter;function i(){n.call(this)}t(\"inherits\")(i,n),i.Readable=t(\"readable-stream/lib/_stream_readable.js\"),i.Writable=t(\"readable-stream/lib/_stream_writable.js\"),i.Duplex=t(\"readable-stream/lib/_stream_duplex.js\"),i.Transform=t(\"readable-stream/lib/_stream_transform.js\"),i.PassThrough=t(\"readable-stream/lib/_stream_passthrough.js\"),i.finished=t(\"readable-stream/lib/internal/streams/end-of-stream.js\"),i.pipeline=t(\"readable-stream/lib/internal/streams/pipeline.js\"),i.Stream=i,i.prototype.pipe=function(t,e){var r=this;function i(e){t.writable&&!1===t.write(e)&&r.pause&&r.pause()}function a(){r.readable&&r.resume&&r.resume()}r.on(\"data\",i),t.on(\"drain\",a),t._isStdio||e&&!1===e.end||(r.on(\"end\",s),r.on(\"close\",l));var o=!1;function s(){o||(o=!0,t.end())}function l(){o||(o=!0,\"function\"==typeof t.destroy&&t.destroy())}function c(t){if(u(),0===n.listenerCount(this,\"error\"))throw t}function u(){r.removeListener(\"data\",i),t.removeListener(\"drain\",a),r.removeListener(\"end\",s),r.removeListener(\"close\",l),r.removeListener(\"error\",c),t.removeListener(\"error\",c),r.removeListener(\"end\",u),r.removeListener(\"close\",u),t.removeListener(\"close\",u)}return r.on(\"error\",c),t.on(\"error\",c),r.on(\"end\",u),r.on(\"close\",u),t.on(\"close\",u),t.emit(\"pipe\",r),t}},{events:116,inherits:443,\"readable-stream/lib/_stream_duplex.js\":567,\"readable-stream/lib/_stream_passthrough.js\":568,\"readable-stream/lib/_stream_readable.js\":569,\"readable-stream/lib/_stream_transform.js\":570,\"readable-stream/lib/_stream_writable.js\":571,\"readable-stream/lib/internal/streams/end-of-stream.js\":575,\"readable-stream/lib/internal/streams/pipeline.js\":577}],566:[function(t,e,r){\"use strict\";var n={};function i(t,e,r){r||(r=Error);var i=function(t){var r,n;function i(r,n,i){return t.call(this,function(t,r,n){return\"string\"==typeof e?e:e(t,r,n)}(r,n,i))||this}return n=t,(r=i).prototype=Object.create(n.prototype),r.prototype.constructor=r,r.__proto__=n,i}(r);i.prototype.name=r.name,i.prototype.code=t,n[t]=i}function a(t,e){if(Array.isArray(t)){var r=t.length;return t=t.map((function(t){return String(t)})),r>2?\"one of \".concat(e,\" \").concat(t.slice(0,r-1).join(\", \"),\", or \")+t[r-1]:2===r?\"one of \".concat(e,\" \").concat(t[0],\" or \").concat(t[1]):\"of \".concat(e,\" \").concat(t[0])}return\"of \".concat(e,\" \").concat(String(t))}i(\"ERR_INVALID_OPT_VALUE\",(function(t,e){return'The value \"'+e+'\" is invalid for option \"'+t+'\"'}),TypeError),i(\"ERR_INVALID_ARG_TYPE\",(function(t,e,r){var n,i,o,s;if(\"string\"==typeof e&&(i=\"not \",e.substr(!o||o<0?0:+o,i.length)===i)?(n=\"must not be\",e=e.replace(/^not /,\"\")):n=\"must be\",function(t,e,r){return(void 0===r||r>t.length)&&(r=t.length),t.substring(r-e.length,r)===e}(t,\" argument\"))s=\"The \".concat(t,\" \").concat(n,\" \").concat(a(e,\"type\"));else{var l=function(t,e,r){return\"number\"!=typeof r&&(r=0),!(r+e.length>t.length)&&-1!==t.indexOf(e,r)}(t,\".\")?\"property\":\"argument\";s='The \"'.concat(t,'\" ').concat(l,\" \").concat(n,\" \").concat(a(e,\"type\"))}return s+=\". Received type \".concat(typeof r)}),TypeError),i(\"ERR_STREAM_PUSH_AFTER_EOF\",\"stream.push() after EOF\"),i(\"ERR_METHOD_NOT_IMPLEMENTED\",(function(t){return\"The \"+t+\" method is not implemented\"})),i(\"ERR_STREAM_PREMATURE_CLOSE\",\"Premature close\"),i(\"ERR_STREAM_DESTROYED\",(function(t){return\"Cannot call \"+t+\" after a stream was destroyed\"})),i(\"ERR_MULTIPLE_CALLBACK\",\"Callback called multiple times\"),i(\"ERR_STREAM_CANNOT_PIPE\",\"Cannot pipe, not readable\"),i(\"ERR_STREAM_WRITE_AFTER_END\",\"write after end\"),i(\"ERR_STREAM_NULL_VALUES\",\"May not write null values to stream\",TypeError),i(\"ERR_UNKNOWN_ENCODING\",(function(t){return\"Unknown encoding: \"+t}),TypeError),i(\"ERR_STREAM_UNSHIFT_AFTER_END_EVENT\",\"stream.unshift() after end event\"),e.exports.codes=n},{}],567:[function(t,e,r){(function(r){(function(){\"use strict\";var n=Object.keys||function(t){var e=[];for(var r in t)e.push(r);return e};e.exports=c;var i=t(\"./_stream_readable\"),a=t(\"./_stream_writable\");t(\"inherits\")(c,i);for(var o=n(a.prototype),s=0;s<o.length;s++){var l=o[s];c.prototype[l]||(c.prototype[l]=a.prototype[l])}function c(t){if(!(this instanceof c))return new c(t);i.call(this,t),a.call(this,t),this.allowHalfOpen=!0,t&&(!1===t.readable&&(this.readable=!1),!1===t.writable&&(this.writable=!1),!1===t.allowHalfOpen&&(this.allowHalfOpen=!1,this.once(\"end\",u)))}function u(){this._writableState.ended||r.nextTick(f,this)}function f(t){t.end()}Object.defineProperty(c.prototype,\"writableHighWaterMark\",{enumerable:!1,get:function(){return this._writableState.highWaterMark}}),Object.defineProperty(c.prototype,\"writableBuffer\",{enumerable:!1,get:function(){return this._writableState&&this._writableState.getBuffer()}}),Object.defineProperty(c.prototype,\"writableLength\",{enumerable:!1,get:function(){return this._writableState.length}}),Object.defineProperty(c.prototype,\"destroyed\",{enumerable:!1,get:function(){return void 0!==this._readableState&&void 0!==this._writableState&&(this._readableState.destroyed&&this._writableState.destroyed)},set:function(t){void 0!==this._readableState&&void 0!==this._writableState&&(this._readableState.destroyed=t,this._writableState.destroyed=t)}})}).call(this)}).call(this,t(\"_process\"))},{\"./_stream_readable\":569,\"./_stream_writable\":571,_process:524,inherits:443}],568:[function(t,e,r){\"use strict\";e.exports=i;var n=t(\"./_stream_transform\");function i(t){if(!(this instanceof i))return new i(t);n.call(this,t)}t(\"inherits\")(i,n),i.prototype._transform=function(t,e,r){r(null,t)}},{\"./_stream_transform\":570,inherits:443}],569:[function(t,e,r){(function(r,n){(function(){\"use strict\";var i;e.exports=M,M.ReadableState=k;t(\"events\").EventEmitter;var a=function(t,e){return t.listeners(e).length},o=t(\"./internal/streams/stream\"),s=t(\"buffer\").Buffer,l=n.Uint8Array||function(){};var c,u=t(\"util\");c=u&&u.debuglog?u.debuglog(\"stream\"):function(){};var f,h,p,d=t(\"./internal/streams/buffer_list\"),m=t(\"./internal/streams/destroy\"),g=t(\"./internal/streams/state\").getHighWaterMark,v=t(\"../errors\").codes,y=v.ERR_INVALID_ARG_TYPE,x=v.ERR_STREAM_PUSH_AFTER_EOF,b=v.ERR_METHOD_NOT_IMPLEMENTED,_=v.ERR_STREAM_UNSHIFT_AFTER_END_EVENT;t(\"inherits\")(M,o);var w=m.errorOrDestroy,T=[\"error\",\"close\",\"destroy\",\"pause\",\"resume\"];function k(e,r,n){i=i||t(\"./_stream_duplex\"),e=e||{},\"boolean\"!=typeof n&&(n=r instanceof i),this.objectMode=!!e.objectMode,n&&(this.objectMode=this.objectMode||!!e.readableObjectMode),this.highWaterMark=g(this,e,\"readableHighWaterMark\",n),this.buffer=new d,this.length=0,this.pipes=null,this.pipesCount=0,this.flowing=null,this.ended=!1,this.endEmitted=!1,this.reading=!1,this.sync=!0,this.needReadable=!1,this.emittedReadable=!1,this.readableListening=!1,this.resumeScheduled=!1,this.paused=!0,this.emitClose=!1!==e.emitClose,this.autoDestroy=!!e.autoDestroy,this.destroyed=!1,this.defaultEncoding=e.defaultEncoding||\"utf8\",this.awaitDrain=0,this.readingMore=!1,this.decoder=null,this.encoding=null,e.encoding&&(f||(f=t(\"string_decoder/\").StringDecoder),this.decoder=new f(e.encoding),this.encoding=e.encoding)}function M(e){if(i=i||t(\"./_stream_duplex\"),!(this instanceof M))return new M(e);var r=this instanceof i;this._readableState=new k(e,this,r),this.readable=!0,e&&(\"function\"==typeof e.read&&(this._read=e.read),\"function\"==typeof e.destroy&&(this._destroy=e.destroy)),o.call(this)}function A(t,e,r,n,i){c(\"readableAddChunk\",e);var a,o=t._readableState;if(null===e)o.reading=!1,function(t,e){if(c(\"onEofChunk\"),e.ended)return;if(e.decoder){var r=e.decoder.end();r&&r.length&&(e.buffer.push(r),e.length+=e.objectMode?1:r.length)}e.ended=!0,e.sync?L(t):(e.needReadable=!1,e.emittedReadable||(e.emittedReadable=!0,C(t)))}(t,o);else if(i||(a=function(t,e){var r;n=e,s.isBuffer(n)||n instanceof l||\"string\"==typeof e||void 0===e||t.objectMode||(r=new y(\"chunk\",[\"string\",\"Buffer\",\"Uint8Array\"],e));var n;return r}(o,e)),a)w(t,a);else if(o.objectMode||e&&e.length>0)if(\"string\"==typeof e||o.objectMode||Object.getPrototypeOf(e)===s.prototype||(e=function(t){return s.from(t)}(e)),n)o.endEmitted?w(t,new _):S(t,o,e,!0);else if(o.ended)w(t,new x);else{if(o.destroyed)return!1;o.reading=!1,o.decoder&&!r?(e=o.decoder.write(e),o.objectMode||0!==e.length?S(t,o,e,!1):P(t,o)):S(t,o,e,!1)}else n||(o.reading=!1,P(t,o));return!o.ended&&(o.length<o.highWaterMark||0===o.length)}function S(t,e,r,n){e.flowing&&0===e.length&&!e.sync?(e.awaitDrain=0,t.emit(\"data\",r)):(e.length+=e.objectMode?1:r.length,n?e.buffer.unshift(r):e.buffer.push(r),e.needReadable&&L(t)),P(t,e)}Object.defineProperty(M.prototype,\"destroyed\",{enumerable:!1,get:function(){return void 0!==this._readableState&&this._readableState.destroyed},set:function(t){this._readableState&&(this._readableState.destroyed=t)}}),M.prototype.destroy=m.destroy,M.prototype._undestroy=m.undestroy,M.prototype._destroy=function(t,e){e(t)},M.prototype.push=function(t,e){var r,n=this._readableState;return n.objectMode?r=!0:\"string\"==typeof t&&((e=e||n.defaultEncoding)!==n.encoding&&(t=s.from(t,e),e=\"\"),r=!0),A(this,t,e,!1,r)},M.prototype.unshift=function(t){return A(this,t,null,!0,!1)},M.prototype.isPaused=function(){return!1===this._readableState.flowing},M.prototype.setEncoding=function(e){f||(f=t(\"string_decoder/\").StringDecoder);var r=new f(e);this._readableState.decoder=r,this._readableState.encoding=this._readableState.decoder.encoding;for(var n=this._readableState.buffer.head,i=\"\";null!==n;)i+=r.write(n.data),n=n.next;return this._readableState.buffer.clear(),\"\"!==i&&this._readableState.buffer.push(i),this._readableState.length=i.length,this};function E(t,e){return t<=0||0===e.length&&e.ended?0:e.objectMode?1:t!=t?e.flowing&&e.length?e.buffer.head.data.length:e.length:(t>e.highWaterMark&&(e.highWaterMark=function(t){return t>=1073741824?t=1073741824:(t--,t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,t|=t>>>16,t++),t}(t)),t<=e.length?t:e.ended?e.length:(e.needReadable=!0,0))}function L(t){var e=t._readableState;c(\"emitReadable\",e.needReadable,e.emittedReadable),e.needReadable=!1,e.emittedReadable||(c(\"emitReadable\",e.flowing),e.emittedReadable=!0,r.nextTick(C,t))}function C(t){var e=t._readableState;c(\"emitReadable_\",e.destroyed,e.length,e.ended),e.destroyed||!e.length&&!e.ended||(t.emit(\"readable\"),e.emittedReadable=!1),e.needReadable=!e.flowing&&!e.ended&&e.length<=e.highWaterMark,R(t)}function P(t,e){e.readingMore||(e.readingMore=!0,r.nextTick(I,t,e))}function I(t,e){for(;!e.reading&&!e.ended&&(e.length<e.highWaterMark||e.flowing&&0===e.length);){var r=e.length;if(c(\"maybeReadMore read 0\"),t.read(0),r===e.length)break}e.readingMore=!1}function O(t){var e=t._readableState;e.readableListening=t.listenerCount(\"readable\")>0,e.resumeScheduled&&!e.paused?e.flowing=!0:t.listenerCount(\"data\")>0&&t.resume()}function z(t){c(\"readable nexttick read 0\"),t.read(0)}function D(t,e){c(\"resume\",e.reading),e.reading||t.read(0),e.resumeScheduled=!1,t.emit(\"resume\"),R(t),e.flowing&&!e.reading&&t.read(0)}function R(t){var e=t._readableState;for(c(\"flow\",e.flowing);e.flowing&&null!==t.read(););}function F(t,e){return 0===e.length?null:(e.objectMode?r=e.buffer.shift():!t||t>=e.length?(r=e.decoder?e.buffer.join(\"\"):1===e.buffer.length?e.buffer.first():e.buffer.concat(e.length),e.buffer.clear()):r=e.buffer.consume(t,e.decoder),r);var r}function B(t){var e=t._readableState;c(\"endReadable\",e.endEmitted),e.endEmitted||(e.ended=!0,r.nextTick(N,e,t))}function N(t,e){if(c(\"endReadableNT\",t.endEmitted,t.length),!t.endEmitted&&0===t.length&&(t.endEmitted=!0,e.readable=!1,e.emit(\"end\"),t.autoDestroy)){var r=e._writableState;(!r||r.autoDestroy&&r.finished)&&e.destroy()}}function j(t,e){for(var r=0,n=t.length;r<n;r++)if(t[r]===e)return r;return-1}M.prototype.read=function(t){c(\"read\",t),t=parseInt(t,10);var e=this._readableState,r=t;if(0!==t&&(e.emittedReadable=!1),0===t&&e.needReadable&&((0!==e.highWaterMark?e.length>=e.highWaterMark:e.length>0)||e.ended))return c(\"read: emitReadable\",e.length,e.ended),0===e.length&&e.ended?B(this):L(this),null;if(0===(t=E(t,e))&&e.ended)return 0===e.length&&B(this),null;var n,i=e.needReadable;return c(\"need readable\",i),(0===e.length||e.length-t<e.highWaterMark)&&c(\"length less than watermark\",i=!0),e.ended||e.reading?c(\"reading or ended\",i=!1):i&&(c(\"do read\"),e.reading=!0,e.sync=!0,0===e.length&&(e.needReadable=!0),this._read(e.highWaterMark),e.sync=!1,e.reading||(t=E(r,e))),null===(n=t>0?F(t,e):null)?(e.needReadable=e.length<=e.highWaterMark,t=0):(e.length-=t,e.awaitDrain=0),0===e.length&&(e.ended||(e.needReadable=!0),r!==t&&e.ended&&B(this)),null!==n&&this.emit(\"data\",n),n},M.prototype._read=function(t){w(this,new b(\"_read()\"))},M.prototype.pipe=function(t,e){var n=this,i=this._readableState;switch(i.pipesCount){case 0:i.pipes=t;break;case 1:i.pipes=[i.pipes,t];break;default:i.pipes.push(t)}i.pipesCount+=1,c(\"pipe count=%d opts=%j\",i.pipesCount,e);var o=(!e||!1!==e.end)&&t!==r.stdout&&t!==r.stderr?l:g;function s(e,r){c(\"onunpipe\"),e===n&&r&&!1===r.hasUnpiped&&(r.hasUnpiped=!0,c(\"cleanup\"),t.removeListener(\"close\",d),t.removeListener(\"finish\",m),t.removeListener(\"drain\",u),t.removeListener(\"error\",p),t.removeListener(\"unpipe\",s),n.removeListener(\"end\",l),n.removeListener(\"end\",g),n.removeListener(\"data\",h),f=!0,!i.awaitDrain||t._writableState&&!t._writableState.needDrain||u())}function l(){c(\"onend\"),t.end()}i.endEmitted?r.nextTick(o):n.once(\"end\",o),t.on(\"unpipe\",s);var u=function(t){return function(){var e=t._readableState;c(\"pipeOnDrain\",e.awaitDrain),e.awaitDrain&&e.awaitDrain--,0===e.awaitDrain&&a(t,\"data\")&&(e.flowing=!0,R(t))}}(n);t.on(\"drain\",u);var f=!1;function h(e){c(\"ondata\");var r=t.write(e);c(\"dest.write\",r),!1===r&&((1===i.pipesCount&&i.pipes===t||i.pipesCount>1&&-1!==j(i.pipes,t))&&!f&&(c(\"false write response, pause\",i.awaitDrain),i.awaitDrain++),n.pause())}function p(e){c(\"onerror\",e),g(),t.removeListener(\"error\",p),0===a(t,\"error\")&&w(t,e)}function d(){t.removeListener(\"finish\",m),g()}function m(){c(\"onfinish\"),t.removeListener(\"close\",d),g()}function g(){c(\"unpipe\"),n.unpipe(t)}return n.on(\"data\",h),function(t,e,r){if(\"function\"==typeof t.prependListener)return t.prependListener(e,r);t._events&&t._events[e]?Array.isArray(t._events[e])?t._events[e].unshift(r):t._events[e]=[r,t._events[e]]:t.on(e,r)}(t,\"error\",p),t.once(\"close\",d),t.once(\"finish\",m),t.emit(\"pipe\",n),i.flowing||(c(\"pipe resume\"),n.resume()),t},M.prototype.unpipe=function(t){var e=this._readableState,r={hasUnpiped:!1};if(0===e.pipesCount)return this;if(1===e.pipesCount)return t&&t!==e.pipes||(t||(t=e.pipes),e.pipes=null,e.pipesCount=0,e.flowing=!1,t&&t.emit(\"unpipe\",this,r)),this;if(!t){var n=e.pipes,i=e.pipesCount;e.pipes=null,e.pipesCount=0,e.flowing=!1;for(var a=0;a<i;a++)n[a].emit(\"unpipe\",this,{hasUnpiped:!1});return this}var o=j(e.pipes,t);return-1===o||(e.pipes.splice(o,1),e.pipesCount-=1,1===e.pipesCount&&(e.pipes=e.pipes[0]),t.emit(\"unpipe\",this,r)),this},M.prototype.on=function(t,e){var n=o.prototype.on.call(this,t,e),i=this._readableState;return\"data\"===t?(i.readableListening=this.listenerCount(\"readable\")>0,!1!==i.flowing&&this.resume()):\"readable\"===t&&(i.endEmitted||i.readableListening||(i.readableListening=i.needReadable=!0,i.flowing=!1,i.emittedReadable=!1,c(\"on readable\",i.length,i.reading),i.length?L(this):i.reading||r.nextTick(z,this))),n},M.prototype.addListener=M.prototype.on,M.prototype.removeListener=function(t,e){var n=o.prototype.removeListener.call(this,t,e);return\"readable\"===t&&r.nextTick(O,this),n},M.prototype.removeAllListeners=function(t){var e=o.prototype.removeAllListeners.apply(this,arguments);return\"readable\"!==t&&void 0!==t||r.nextTick(O,this),e},M.prototype.resume=function(){var t=this._readableState;return t.flowing||(c(\"resume\"),t.flowing=!t.readableListening,function(t,e){e.resumeScheduled||(e.resumeScheduled=!0,r.nextTick(D,t,e))}(this,t)),t.paused=!1,this},M.prototype.pause=function(){return c(\"call pause flowing=%j\",this._readableState.flowing),!1!==this._readableState.flowing&&(c(\"pause\"),this._readableState.flowing=!1,this.emit(\"pause\")),this._readableState.paused=!0,this},M.prototype.wrap=function(t){var e=this,r=this._readableState,n=!1;for(var i in t.on(\"end\",(function(){if(c(\"wrapped end\"),r.decoder&&!r.ended){var t=r.decoder.end();t&&t.length&&e.push(t)}e.push(null)})),t.on(\"data\",(function(i){(c(\"wrapped data\"),r.decoder&&(i=r.decoder.write(i)),r.objectMode&&null==i)||(r.objectMode||i&&i.length)&&(e.push(i)||(n=!0,t.pause()))})),t)void 0===this[i]&&\"function\"==typeof t[i]&&(this[i]=function(e){return function(){return t[e].apply(t,arguments)}}(i));for(var a=0;a<T.length;a++)t.on(T[a],this.emit.bind(this,T[a]));return this._read=function(e){c(\"wrapped _read\",e),n&&(n=!1,t.resume())},this},\"function\"==typeof Symbol&&(M.prototype[Symbol.asyncIterator]=function(){return void 0===h&&(h=t(\"./internal/streams/async_iterator\")),h(this)}),Object.defineProperty(M.prototype,\"readableHighWaterMark\",{enumerable:!1,get:function(){return this._readableState.highWaterMark}}),Object.defineProperty(M.prototype,\"readableBuffer\",{enumerable:!1,get:function(){return this._readableState&&this._readableState.buffer}}),Object.defineProperty(M.prototype,\"readableFlowing\",{enumerable:!1,get:function(){return this._readableState.flowing},set:function(t){this._readableState&&(this._readableState.flowing=t)}}),M._fromList=F,Object.defineProperty(M.prototype,\"readableLength\",{enumerable:!1,get:function(){return this._readableState.length}}),\"function\"==typeof Symbol&&(M.from=function(e,r){return void 0===p&&(p=t(\"./internal/streams/from\")),p(M,e,r)})}).call(this)}).call(this,t(\"_process\"),\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"../errors\":566,\"./_stream_duplex\":567,\"./internal/streams/async_iterator\":572,\"./internal/streams/buffer_list\":573,\"./internal/streams/destroy\":574,\"./internal/streams/from\":576,\"./internal/streams/state\":578,\"./internal/streams/stream\":579,_process:524,buffer:117,events:116,inherits:443,\"string_decoder/\":580,util:115}],570:[function(t,e,r){\"use strict\";e.exports=u;var n=t(\"../errors\").codes,i=n.ERR_METHOD_NOT_IMPLEMENTED,a=n.ERR_MULTIPLE_CALLBACK,o=n.ERR_TRANSFORM_ALREADY_TRANSFORMING,s=n.ERR_TRANSFORM_WITH_LENGTH_0,l=t(\"./_stream_duplex\");function c(t,e){var r=this._transformState;r.transforming=!1;var n=r.writecb;if(null===n)return this.emit(\"error\",new a);r.writechunk=null,r.writecb=null,null!=e&&this.push(e),n(t);var i=this._readableState;i.reading=!1,(i.needReadable||i.length<i.highWaterMark)&&this._read(i.highWaterMark)}function u(t){if(!(this instanceof u))return new u(t);l.call(this,t),this._transformState={afterTransform:c.bind(this),needTransform:!1,transforming:!1,writecb:null,writechunk:null,writeencoding:null},this._readableState.needReadable=!0,this._readableState.sync=!1,t&&(\"function\"==typeof t.transform&&(this._transform=t.transform),\"function\"==typeof t.flush&&(this._flush=t.flush)),this.on(\"prefinish\",f)}function f(){var t=this;\"function\"!=typeof this._flush||this._readableState.destroyed?h(this,null,null):this._flush((function(e,r){h(t,e,r)}))}function h(t,e,r){if(e)return t.emit(\"error\",e);if(null!=r&&t.push(r),t._writableState.length)throw new s;if(t._transformState.transforming)throw new o;return t.push(null)}t(\"inherits\")(u,l),u.prototype.push=function(t,e){return this._transformState.needTransform=!1,l.prototype.push.call(this,t,e)},u.prototype._transform=function(t,e,r){r(new i(\"_transform()\"))},u.prototype._write=function(t,e,r){var n=this._transformState;if(n.writecb=r,n.writechunk=t,n.writeencoding=e,!n.transforming){var i=this._readableState;(n.needTransform||i.needReadable||i.length<i.highWaterMark)&&this._read(i.highWaterMark)}},u.prototype._read=function(t){var e=this._transformState;null===e.writechunk||e.transforming?e.needTransform=!0:(e.transforming=!0,this._transform(e.writechunk,e.writeencoding,e.afterTransform))},u.prototype._destroy=function(t,e){l.prototype._destroy.call(this,t,(function(t){e(t)}))}},{\"../errors\":566,\"./_stream_duplex\":567,inherits:443}],571:[function(t,e,r){(function(r,n){(function(){\"use strict\";function i(t){var e=this;this.next=null,this.entry=null,this.finish=function(){!function(t,e,r){var n=t.entry;t.entry=null;for(;n;){var i=n.callback;e.pendingcb--,i(r),n=n.next}e.corkedRequestsFree.next=t}(e,t)}}var a;e.exports=M,M.WritableState=k;var o={deprecate:t(\"util-deprecate\")},s=t(\"./internal/streams/stream\"),l=t(\"buffer\").Buffer,c=n.Uint8Array||function(){};var u,f=t(\"./internal/streams/destroy\"),h=t(\"./internal/streams/state\").getHighWaterMark,p=t(\"../errors\").codes,d=p.ERR_INVALID_ARG_TYPE,m=p.ERR_METHOD_NOT_IMPLEMENTED,g=p.ERR_MULTIPLE_CALLBACK,v=p.ERR_STREAM_CANNOT_PIPE,y=p.ERR_STREAM_DESTROYED,x=p.ERR_STREAM_NULL_VALUES,b=p.ERR_STREAM_WRITE_AFTER_END,_=p.ERR_UNKNOWN_ENCODING,w=f.errorOrDestroy;function T(){}function k(e,n,o){a=a||t(\"./_stream_duplex\"),e=e||{},\"boolean\"!=typeof o&&(o=n instanceof a),this.objectMode=!!e.objectMode,o&&(this.objectMode=this.objectMode||!!e.writableObjectMode),this.highWaterMark=h(this,e,\"writableHighWaterMark\",o),this.finalCalled=!1,this.needDrain=!1,this.ending=!1,this.ended=!1,this.finished=!1,this.destroyed=!1;var s=!1===e.decodeStrings;this.decodeStrings=!s,this.defaultEncoding=e.defaultEncoding||\"utf8\",this.length=0,this.writing=!1,this.corked=0,this.sync=!0,this.bufferProcessing=!1,this.onwrite=function(t){!function(t,e){var n=t._writableState,i=n.sync,a=n.writecb;if(\"function\"!=typeof a)throw new g;if(function(t){t.writing=!1,t.writecb=null,t.length-=t.writelen,t.writelen=0}(n),e)!function(t,e,n,i,a){--e.pendingcb,n?(r.nextTick(a,i),r.nextTick(P,t,e),t._writableState.errorEmitted=!0,w(t,i)):(a(i),t._writableState.errorEmitted=!0,w(t,i),P(t,e))}(t,n,i,e,a);else{var o=L(n)||t.destroyed;o||n.corked||n.bufferProcessing||!n.bufferedRequest||E(t,n),i?r.nextTick(S,t,n,o,a):S(t,n,o,a)}}(n,t)},this.writecb=null,this.writelen=0,this.bufferedRequest=null,this.lastBufferedRequest=null,this.pendingcb=0,this.prefinished=!1,this.errorEmitted=!1,this.emitClose=!1!==e.emitClose,this.autoDestroy=!!e.autoDestroy,this.bufferedRequestCount=0,this.corkedRequestsFree=new i(this)}function M(e){var r=this instanceof(a=a||t(\"./_stream_duplex\"));if(!r&&!u.call(M,this))return new M(e);this._writableState=new k(e,this,r),this.writable=!0,e&&(\"function\"==typeof e.write&&(this._write=e.write),\"function\"==typeof e.writev&&(this._writev=e.writev),\"function\"==typeof e.destroy&&(this._destroy=e.destroy),\"function\"==typeof e.final&&(this._final=e.final)),s.call(this)}function A(t,e,r,n,i,a,o){e.writelen=n,e.writecb=o,e.writing=!0,e.sync=!0,e.destroyed?e.onwrite(new y(\"write\")):r?t._writev(i,e.onwrite):t._write(i,a,e.onwrite),e.sync=!1}function S(t,e,r,n){r||function(t,e){0===e.length&&e.needDrain&&(e.needDrain=!1,t.emit(\"drain\"))}(t,e),e.pendingcb--,n(),P(t,e)}function E(t,e){e.bufferProcessing=!0;var r=e.bufferedRequest;if(t._writev&&r&&r.next){var n=e.bufferedRequestCount,a=new Array(n),o=e.corkedRequestsFree;o.entry=r;for(var s=0,l=!0;r;)a[s]=r,r.isBuf||(l=!1),r=r.next,s+=1;a.allBuffers=l,A(t,e,!0,e.length,a,\"\",o.finish),e.pendingcb++,e.lastBufferedRequest=null,o.next?(e.corkedRequestsFree=o.next,o.next=null):e.corkedRequestsFree=new i(e),e.bufferedRequestCount=0}else{for(;r;){var c=r.chunk,u=r.encoding,f=r.callback;if(A(t,e,!1,e.objectMode?1:c.length,c,u,f),r=r.next,e.bufferedRequestCount--,e.writing)break}null===r&&(e.lastBufferedRequest=null)}e.bufferedRequest=r,e.bufferProcessing=!1}function L(t){return t.ending&&0===t.length&&null===t.bufferedRequest&&!t.finished&&!t.writing}function C(t,e){t._final((function(r){e.pendingcb--,r&&w(t,r),e.prefinished=!0,t.emit(\"prefinish\"),P(t,e)}))}function P(t,e){var n=L(e);if(n&&(function(t,e){e.prefinished||e.finalCalled||(\"function\"!=typeof t._final||e.destroyed?(e.prefinished=!0,t.emit(\"prefinish\")):(e.pendingcb++,e.finalCalled=!0,r.nextTick(C,t,e)))}(t,e),0===e.pendingcb&&(e.finished=!0,t.emit(\"finish\"),e.autoDestroy))){var i=t._readableState;(!i||i.autoDestroy&&i.endEmitted)&&t.destroy()}return n}t(\"inherits\")(M,s),k.prototype.getBuffer=function(){for(var t=this.bufferedRequest,e=[];t;)e.push(t),t=t.next;return e},function(){try{Object.defineProperty(k.prototype,\"buffer\",{get:o.deprecate((function(){return this.getBuffer()}),\"_writableState.buffer is deprecated. Use _writableState.getBuffer instead.\",\"DEP0003\")})}catch(t){}}(),\"function\"==typeof Symbol&&Symbol.hasInstance&&\"function\"==typeof Function.prototype[Symbol.hasInstance]?(u=Function.prototype[Symbol.hasInstance],Object.defineProperty(M,Symbol.hasInstance,{value:function(t){return!!u.call(this,t)||this===M&&(t&&t._writableState instanceof k)}})):u=function(t){return t instanceof this},M.prototype.pipe=function(){w(this,new v)},M.prototype.write=function(t,e,n){var i,a=this._writableState,o=!1,s=!a.objectMode&&(i=t,l.isBuffer(i)||i instanceof c);return s&&!l.isBuffer(t)&&(t=function(t){return l.from(t)}(t)),\"function\"==typeof e&&(n=e,e=null),s?e=\"buffer\":e||(e=a.defaultEncoding),\"function\"!=typeof n&&(n=T),a.ending?function(t,e){var n=new b;w(t,n),r.nextTick(e,n)}(this,n):(s||function(t,e,n,i){var a;return null===n?a=new x:\"string\"==typeof n||e.objectMode||(a=new d(\"chunk\",[\"string\",\"Buffer\"],n)),!a||(w(t,a),r.nextTick(i,a),!1)}(this,a,t,n))&&(a.pendingcb++,o=function(t,e,r,n,i,a){if(!r){var o=function(t,e,r){t.objectMode||!1===t.decodeStrings||\"string\"!=typeof e||(e=l.from(e,r));return e}(e,n,i);n!==o&&(r=!0,i=\"buffer\",n=o)}var s=e.objectMode?1:n.length;e.length+=s;var c=e.length<e.highWaterMark;c||(e.needDrain=!0);if(e.writing||e.corked){var u=e.lastBufferedRequest;e.lastBufferedRequest={chunk:n,encoding:i,isBuf:r,callback:a,next:null},u?u.next=e.lastBufferedRequest:e.bufferedRequest=e.lastBufferedRequest,e.bufferedRequestCount+=1}else A(t,e,!1,s,n,i,a);return c}(this,a,s,t,e,n)),o},M.prototype.cork=function(){this._writableState.corked++},M.prototype.uncork=function(){var t=this._writableState;t.corked&&(t.corked--,t.writing||t.corked||t.bufferProcessing||!t.bufferedRequest||E(this,t))},M.prototype.setDefaultEncoding=function(t){if(\"string\"==typeof t&&(t=t.toLowerCase()),!([\"hex\",\"utf8\",\"utf-8\",\"ascii\",\"binary\",\"base64\",\"ucs2\",\"ucs-2\",\"utf16le\",\"utf-16le\",\"raw\"].indexOf((t+\"\").toLowerCase())>-1))throw new _(t);return this._writableState.defaultEncoding=t,this},Object.defineProperty(M.prototype,\"writableBuffer\",{enumerable:!1,get:function(){return this._writableState&&this._writableState.getBuffer()}}),Object.defineProperty(M.prototype,\"writableHighWaterMark\",{enumerable:!1,get:function(){return this._writableState.highWaterMark}}),M.prototype._write=function(t,e,r){r(new m(\"_write()\"))},M.prototype._writev=null,M.prototype.end=function(t,e,n){var i=this._writableState;return\"function\"==typeof t?(n=t,t=null,e=null):\"function\"==typeof e&&(n=e,e=null),null!=t&&this.write(t,e),i.corked&&(i.corked=1,this.uncork()),i.ending||function(t,e,n){e.ending=!0,P(t,e),n&&(e.finished?r.nextTick(n):t.once(\"finish\",n));e.ended=!0,t.writable=!1}(this,i,n),this},Object.defineProperty(M.prototype,\"writableLength\",{enumerable:!1,get:function(){return this._writableState.length}}),Object.defineProperty(M.prototype,\"destroyed\",{enumerable:!1,get:function(){return void 0!==this._writableState&&this._writableState.destroyed},set:function(t){this._writableState&&(this._writableState.destroyed=t)}}),M.prototype.destroy=f.destroy,M.prototype._undestroy=f.undestroy,M.prototype._destroy=function(t,e){e(t)}}).call(this)}).call(this,t(\"_process\"),\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"../errors\":566,\"./_stream_duplex\":567,\"./internal/streams/destroy\":574,\"./internal/streams/state\":578,\"./internal/streams/stream\":579,_process:524,buffer:117,inherits:443,\"util-deprecate\":618}],572:[function(t,e,r){(function(r){(function(){\"use strict\";var n;function i(t,e,r){return e in t?Object.defineProperty(t,e,{value:r,enumerable:!0,configurable:!0,writable:!0}):t[e]=r,t}var a=t(\"./end-of-stream\"),o=Symbol(\"lastResolve\"),s=Symbol(\"lastReject\"),l=Symbol(\"error\"),c=Symbol(\"ended\"),u=Symbol(\"lastPromise\"),f=Symbol(\"handlePromise\"),h=Symbol(\"stream\");function p(t,e){return{value:t,done:e}}function d(t){var e=t[o];if(null!==e){var r=t[h].read();null!==r&&(t[u]=null,t[o]=null,t[s]=null,e(p(r,!1)))}}function m(t){r.nextTick(d,t)}var g=Object.getPrototypeOf((function(){})),v=Object.setPrototypeOf((i(n={get stream(){return this[h]},next:function(){var t=this,e=this[l];if(null!==e)return Promise.reject(e);if(this[c])return Promise.resolve(p(void 0,!0));if(this[h].destroyed)return new Promise((function(e,n){r.nextTick((function(){t[l]?n(t[l]):e(p(void 0,!0))}))}));var n,i=this[u];if(i)n=new Promise(function(t,e){return function(r,n){t.then((function(){e[c]?r(p(void 0,!0)):e[f](r,n)}),n)}}(i,this));else{var a=this[h].read();if(null!==a)return Promise.resolve(p(a,!1));n=new Promise(this[f])}return this[u]=n,n}},Symbol.asyncIterator,(function(){return this})),i(n,\"return\",(function(){var t=this;return new Promise((function(e,r){t[h].destroy(null,(function(t){t?r(t):e(p(void 0,!0))}))}))})),n),g);e.exports=function(t){var e,r=Object.create(v,(i(e={},h,{value:t,writable:!0}),i(e,o,{value:null,writable:!0}),i(e,s,{value:null,writable:!0}),i(e,l,{value:null,writable:!0}),i(e,c,{value:t._readableState.endEmitted,writable:!0}),i(e,f,{value:function(t,e){var n=r[h].read();n?(r[u]=null,r[o]=null,r[s]=null,t(p(n,!1))):(r[o]=t,r[s]=e)},writable:!0}),e));return r[u]=null,a(t,(function(t){if(t&&\"ERR_STREAM_PREMATURE_CLOSE\"!==t.code){var e=r[s];return null!==e&&(r[u]=null,r[o]=null,r[s]=null,e(t)),void(r[l]=t)}var n=r[o];null!==n&&(r[u]=null,r[o]=null,r[s]=null,n(p(void 0,!0))),r[c]=!0})),t.on(\"readable\",m.bind(null,r)),r}}).call(this)}).call(this,t(\"_process\"))},{\"./end-of-stream\":575,_process:524}],573:[function(t,e,r){\"use strict\";function n(t,e){var r=Object.keys(t);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(t);e&&(n=n.filter((function(e){return Object.getOwnPropertyDescriptor(t,e).enumerable}))),r.push.apply(r,n)}return r}function i(t,e,r){return e in t?Object.defineProperty(t,e,{value:r,enumerable:!0,configurable:!0,writable:!0}):t[e]=r,t}function a(t,e){for(var r=0;r<e.length;r++){var n=e[r];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(t,n.key,n)}}var o=t(\"buffer\").Buffer,s=t(\"util\").inspect,l=s&&s.custom||\"inspect\";e.exports=function(){function t(){!function(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\")}(this,t),this.head=null,this.tail=null,this.length=0}var e,r,c;return e=t,(r=[{key:\"push\",value:function(t){var e={data:t,next:null};this.length>0?this.tail.next=e:this.head=e,this.tail=e,++this.length}},{key:\"unshift\",value:function(t){var e={data:t,next:this.head};0===this.length&&(this.tail=e),this.head=e,++this.length}},{key:\"shift\",value:function(){if(0!==this.length){var t=this.head.data;return 1===this.length?this.head=this.tail=null:this.head=this.head.next,--this.length,t}}},{key:\"clear\",value:function(){this.head=this.tail=null,this.length=0}},{key:\"join\",value:function(t){if(0===this.length)return\"\";for(var e=this.head,r=\"\"+e.data;e=e.next;)r+=t+e.data;return r}},{key:\"concat\",value:function(t){if(0===this.length)return o.alloc(0);for(var e,r,n,i=o.allocUnsafe(t>>>0),a=this.head,s=0;a;)e=a.data,r=i,n=s,o.prototype.copy.call(e,r,n),s+=a.data.length,a=a.next;return i}},{key:\"consume\",value:function(t,e){var r;return t<this.head.data.length?(r=this.head.data.slice(0,t),this.head.data=this.head.data.slice(t)):r=t===this.head.data.length?this.shift():e?this._getString(t):this._getBuffer(t),r}},{key:\"first\",value:function(){return this.head.data}},{key:\"_getString\",value:function(t){var e=this.head,r=1,n=e.data;for(t-=n.length;e=e.next;){var i=e.data,a=t>i.length?i.length:t;if(a===i.length?n+=i:n+=i.slice(0,t),0==(t-=a)){a===i.length?(++r,e.next?this.head=e.next:this.head=this.tail=null):(this.head=e,e.data=i.slice(a));break}++r}return this.length-=r,n}},{key:\"_getBuffer\",value:function(t){var e=o.allocUnsafe(t),r=this.head,n=1;for(r.data.copy(e),t-=r.data.length;r=r.next;){var i=r.data,a=t>i.length?i.length:t;if(i.copy(e,e.length-t,0,a),0==(t-=a)){a===i.length?(++n,r.next?this.head=r.next:this.head=this.tail=null):(this.head=r,r.data=i.slice(a));break}++n}return this.length-=n,e}},{key:l,value:function(t,e){return s(this,function(t){for(var e=1;e<arguments.length;e++){var r=null!=arguments[e]?arguments[e]:{};e%2?n(Object(r),!0).forEach((function(e){i(t,e,r[e])})):Object.getOwnPropertyDescriptors?Object.defineProperties(t,Object.getOwnPropertyDescriptors(r)):n(Object(r)).forEach((function(e){Object.defineProperty(t,e,Object.getOwnPropertyDescriptor(r,e))}))}return t}({},e,{depth:0,customInspect:!1}))}}])&&a(e.prototype,r),c&&a(e,c),t}()},{buffer:117,util:115}],574:[function(t,e,r){(function(t){(function(){\"use strict\";function r(t,e){i(t,e),n(t)}function n(t){t._writableState&&!t._writableState.emitClose||t._readableState&&!t._readableState.emitClose||t.emit(\"close\")}function i(t,e){t.emit(\"error\",e)}e.exports={destroy:function(e,a){var o=this,s=this._readableState&&this._readableState.destroyed,l=this._writableState&&this._writableState.destroyed;return s||l?(a?a(e):e&&(this._writableState?this._writableState.errorEmitted||(this._writableState.errorEmitted=!0,t.nextTick(i,this,e)):t.nextTick(i,this,e)),this):(this._readableState&&(this._readableState.destroyed=!0),this._writableState&&(this._writableState.destroyed=!0),this._destroy(e||null,(function(e){!a&&e?o._writableState?o._writableState.errorEmitted?t.nextTick(n,o):(o._writableState.errorEmitted=!0,t.nextTick(r,o,e)):t.nextTick(r,o,e):a?(t.nextTick(n,o),a(e)):t.nextTick(n,o)})),this)},undestroy:function(){this._readableState&&(this._readableState.destroyed=!1,this._readableState.reading=!1,this._readableState.ended=!1,this._readableState.endEmitted=!1),this._writableState&&(this._writableState.destroyed=!1,this._writableState.ended=!1,this._writableState.ending=!1,this._writableState.finalCalled=!1,this._writableState.prefinished=!1,this._writableState.finished=!1,this._writableState.errorEmitted=!1)},errorOrDestroy:function(t,e){var r=t._readableState,n=t._writableState;r&&r.autoDestroy||n&&n.autoDestroy?t.destroy(e):t.emit(\"error\",e)}}}).call(this)}).call(this,t(\"_process\"))},{_process:524}],575:[function(t,e,r){\"use strict\";var n=t(\"../../../errors\").codes.ERR_STREAM_PREMATURE_CLOSE;function i(){}e.exports=function t(e,r,a){if(\"function\"==typeof r)return t(e,null,r);r||(r={}),a=function(t){var e=!1;return function(){if(!e){e=!0;for(var r=arguments.length,n=new Array(r),i=0;i<r;i++)n[i]=arguments[i];t.apply(this,n)}}}(a||i);var o=r.readable||!1!==r.readable&&e.readable,s=r.writable||!1!==r.writable&&e.writable,l=function(){e.writable||u()},c=e._writableState&&e._writableState.finished,u=function(){s=!1,c=!0,o||a.call(e)},f=e._readableState&&e._readableState.endEmitted,h=function(){o=!1,f=!0,s||a.call(e)},p=function(t){a.call(e,t)},d=function(){var t;return o&&!f?(e._readableState&&e._readableState.ended||(t=new n),a.call(e,t)):s&&!c?(e._writableState&&e._writableState.ended||(t=new n),a.call(e,t)):void 0},m=function(){e.req.on(\"finish\",u)};return!function(t){return t.setHeader&&\"function\"==typeof t.abort}(e)?s&&!e._writableState&&(e.on(\"end\",l),e.on(\"close\",l)):(e.on(\"complete\",u),e.on(\"abort\",d),e.req?m():e.on(\"request\",m)),e.on(\"end\",h),e.on(\"finish\",u),!1!==r.error&&e.on(\"error\",p),e.on(\"close\",d),function(){e.removeListener(\"complete\",u),e.removeListener(\"abort\",d),e.removeListener(\"request\",m),e.req&&e.req.removeListener(\"finish\",u),e.removeListener(\"end\",l),e.removeListener(\"close\",l),e.removeListener(\"finish\",u),e.removeListener(\"end\",h),e.removeListener(\"error\",p),e.removeListener(\"close\",d)}}},{\"../../../errors\":566}],576:[function(t,e,r){e.exports=function(){throw new Error(\"Readable.from is not available in the browser\")}},{}],577:[function(t,e,r){\"use strict\";var n;var i=t(\"../../../errors\").codes,a=i.ERR_MISSING_ARGS,o=i.ERR_STREAM_DESTROYED;function s(t){if(t)throw t}function l(e,r,i,a){a=function(t){var e=!1;return function(){e||(e=!0,t.apply(void 0,arguments))}}(a);var s=!1;e.on(\"close\",(function(){s=!0})),void 0===n&&(n=t(\"./end-of-stream\")),n(e,{readable:r,writable:i},(function(t){if(t)return a(t);s=!0,a()}));var l=!1;return function(t){if(!s&&!l)return l=!0,function(t){return t.setHeader&&\"function\"==typeof t.abort}(e)?e.abort():\"function\"==typeof e.destroy?e.destroy():void a(t||new o(\"pipe\"))}}function c(t){t()}function u(t,e){return t.pipe(e)}function f(t){return t.length?\"function\"!=typeof t[t.length-1]?s:t.pop():s}e.exports=function(){for(var t=arguments.length,e=new Array(t),r=0;r<t;r++)e[r]=arguments[r];var n,i=f(e);if(Array.isArray(e[0])&&(e=e[0]),e.length<2)throw new a(\"streams\");var o=e.map((function(t,r){var a=r<e.length-1;return l(t,a,r>0,(function(t){n||(n=t),t&&o.forEach(c),a||(o.forEach(c),i(n))}))}));return e.reduce(u)}},{\"../../../errors\":566,\"./end-of-stream\":575}],578:[function(t,e,r){\"use strict\";var n=t(\"../../../errors\").codes.ERR_INVALID_OPT_VALUE;e.exports={getHighWaterMark:function(t,e,r,i){var a=function(t,e,r){return null!=t.highWaterMark?t.highWaterMark:e?t[r]:null}(e,i,r);if(null!=a){if(!isFinite(a)||Math.floor(a)!==a||a<0)throw new n(i?r:\"highWaterMark\",a);return Math.floor(a)}return t.objectMode?16:16384}}},{\"../../../errors\":566}],579:[function(t,e,r){e.exports=t(\"events\").EventEmitter},{events:116}],580:[function(t,e,r){\"use strict\";var n=t(\"safe-buffer\").Buffer,i=n.isEncoding||function(t){switch((t=\"\"+t)&&t.toLowerCase()){case\"hex\":case\"utf8\":case\"utf-8\":case\"ascii\":case\"binary\":case\"base64\":case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":case\"raw\":return!0;default:return!1}};function a(t){var e;switch(this.encoding=function(t){var e=function(t){if(!t)return\"utf8\";for(var e;;)switch(t){case\"utf8\":case\"utf-8\":return\"utf8\";case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":return\"utf16le\";case\"latin1\":case\"binary\":return\"latin1\";case\"base64\":case\"ascii\":case\"hex\":return t;default:if(e)return;t=(\"\"+t).toLowerCase(),e=!0}}(t);if(\"string\"!=typeof e&&(n.isEncoding===i||!i(t)))throw new Error(\"Unknown encoding: \"+t);return e||t}(t),this.encoding){case\"utf16le\":this.text=l,this.end=c,e=4;break;case\"utf8\":this.fillLast=s,e=4;break;case\"base64\":this.text=u,this.end=f,e=3;break;default:return this.write=h,void(this.end=p)}this.lastNeed=0,this.lastTotal=0,this.lastChar=n.allocUnsafe(e)}function o(t){return t<=127?0:t>>5==6?2:t>>4==14?3:t>>3==30?4:t>>6==2?-1:-2}function s(t){var e=this.lastTotal-this.lastNeed,r=function(t,e,r){if(128!=(192&e[0]))return t.lastNeed=0,\"\\ufffd\";if(t.lastNeed>1&&e.length>1){if(128!=(192&e[1]))return t.lastNeed=1,\"\\ufffd\";if(t.lastNeed>2&&e.length>2&&128!=(192&e[2]))return t.lastNeed=2,\"\\ufffd\"}}(this,t);return void 0!==r?r:this.lastNeed<=t.length?(t.copy(this.lastChar,e,0,this.lastNeed),this.lastChar.toString(this.encoding,0,this.lastTotal)):(t.copy(this.lastChar,e,0,t.length),void(this.lastNeed-=t.length))}function l(t,e){if((t.length-e)%2==0){var r=t.toString(\"utf16le\",e);if(r){var n=r.charCodeAt(r.length-1);if(n>=55296&&n<=56319)return this.lastNeed=2,this.lastTotal=4,this.lastChar[0]=t[t.length-2],this.lastChar[1]=t[t.length-1],r.slice(0,-1)}return r}return this.lastNeed=1,this.lastTotal=2,this.lastChar[0]=t[t.length-1],t.toString(\"utf16le\",e,t.length-1)}function c(t){var e=t&&t.length?this.write(t):\"\";if(this.lastNeed){var r=this.lastTotal-this.lastNeed;return e+this.lastChar.toString(\"utf16le\",0,r)}return e}function u(t,e){var r=(t.length-e)%3;return 0===r?t.toString(\"base64\",e):(this.lastNeed=3-r,this.lastTotal=3,1===r?this.lastChar[0]=t[t.length-1]:(this.lastChar[0]=t[t.length-2],this.lastChar[1]=t[t.length-1]),t.toString(\"base64\",e,t.length-r))}function f(t){var e=t&&t.length?this.write(t):\"\";return this.lastNeed?e+this.lastChar.toString(\"base64\",0,3-this.lastNeed):e}function h(t){return t.toString(this.encoding)}function p(t){return t&&t.length?this.write(t):\"\"}r.StringDecoder=a,a.prototype.write=function(t){if(0===t.length)return\"\";var e,r;if(this.lastNeed){if(void 0===(e=this.fillLast(t)))return\"\";r=this.lastNeed,this.lastNeed=0}else r=0;return r<t.length?e?e+this.text(t,r):this.text(t,r):e||\"\"},a.prototype.end=function(t){var e=t&&t.length?this.write(t):\"\";return this.lastNeed?e+\"\\ufffd\":e},a.prototype.text=function(t,e){var r=function(t,e,r){var n=e.length-1;if(n<r)return 0;var i=o(e[n]);if(i>=0)return i>0&&(t.lastNeed=i-1),i;if(--n<r||-2===i)return 0;if((i=o(e[n]))>=0)return i>0&&(t.lastNeed=i-2),i;if(--n<r||-2===i)return 0;if((i=o(e[n]))>=0)return i>0&&(2===i?i=0:t.lastNeed=i-3),i;return 0}(this,t,e);if(!this.lastNeed)return t.toString(\"utf8\",e);this.lastTotal=r;var n=t.length-(r-this.lastNeed);return t.copy(this.lastChar,0,n),t.toString(\"utf8\",e,n)},a.prototype.fillLast=function(t){if(this.lastNeed<=t.length)return t.copy(this.lastChar,this.lastTotal-this.lastNeed,0,this.lastNeed),this.lastChar.toString(this.encoding,0,this.lastTotal);t.copy(this.lastChar,this.lastTotal-this.lastNeed,0,t.length),this.lastNeed-=t.length}},{\"safe-buffer\":550}],581:[function(t,e,r){(function(r,n){(function(){var r=t(\"assert\"),i=t(\"debug\")(\"stream-parser\");e.exports=function(t){var e=t&&\"function\"==typeof t._transform,r=t&&\"function\"==typeof t._write;if(!e&&!r)throw new Error(\"must pass a Writable or Transform stream in\");i(\"extending Parser into stream\"),t._bytes=o,t._skipBytes=s,e&&(t._passthrough=l);e?t._transform=u:t._write=c};function a(t){i(\"initializing parser stream\"),t._parserBytesLeft=0,t._parserBuffers=[],t._parserBuffered=0,t._parserState=-1,t._parserCallback=null,\"function\"==typeof t.push&&(t._parserOutput=t.push.bind(t)),t._parserInit=!0}function o(t,e){r(!this._parserCallback,'there is already a \"callback\" set!'),r(isFinite(t)&&t>0,'can only buffer a finite number of bytes > 0, got \"'+t+'\"'),this._parserInit||a(this),i(\"buffering %o bytes\",t),this._parserBytesLeft=t,this._parserCallback=e,this._parserState=0}function s(t,e){r(!this._parserCallback,'there is already a \"callback\" set!'),r(t>0,'can only skip > 0 bytes, got \"'+t+'\"'),this._parserInit||a(this),i(\"skipping %o bytes\",t),this._parserBytesLeft=t,this._parserCallback=e,this._parserState=1}function l(t,e){r(!this._parserCallback,'There is already a \"callback\" set!'),r(t>0,'can only pass through > 0 bytes, got \"'+t+'\"'),this._parserInit||a(this),i(\"passing through %o bytes\",t),this._parserBytesLeft=t,this._parserCallback=e,this._parserState=2}function c(t,e,r){this._parserInit||a(this),i(\"write(%o bytes)\",t.length),\"function\"==typeof e&&(r=e),h(this,t,null,r)}function u(t,e,r){this._parserInit||a(this),i(\"transform(%o bytes)\",t.length),\"function\"!=typeof e&&(e=this._parserOutput),h(this,t,e,r)}function f(t,e,r,a){if(t._parserBytesLeft-=e.length,i(\"%o bytes left for stream piece\",t._parserBytesLeft),0===t._parserState?(t._parserBuffers.push(e),t._parserBuffered+=e.length):2===t._parserState&&r(e),0!==t._parserBytesLeft)return a;var o=t._parserCallback;if(o&&0===t._parserState&&t._parserBuffers.length>1&&(e=n.concat(t._parserBuffers,t._parserBuffered)),0!==t._parserState&&(e=null),t._parserCallback=null,t._parserBuffered=0,t._parserState=-1,t._parserBuffers.splice(0),o){var s=[];e&&s.push(e),r&&s.push(r);var l=o.length>s.length;l&&s.push(p(a));var c=o.apply(t,s);if(!l||a===c)return a}}var h=p((function t(e,r,n,i){return e._parserBytesLeft<=0?i(new Error(\"got data but not currently parsing anything\")):r.length<=e._parserBytesLeft?function(){return f(e,r,n,i)}:function(){var a=r.slice(0,e._parserBytesLeft);return f(e,a,n,(function(o){return o?i(o):r.length>a.length?function(){return t(e,r.slice(a.length),n,i)}:void 0}))}}));function p(t){return function(){for(var e=t.apply(this,arguments);\"function\"==typeof e;)e=e();return e}}}).call(this)}).call(this,t(\"_process\"),t(\"buffer\").Buffer)},{_process:524,assert:80,buffer:117,debug:582}],582:[function(t,e,r){(function(n){(function(){function i(){var t;try{t=r.storage.debug}catch(t){}return!t&&void 0!==n&&\"env\"in n&&(t=n.env.DEBUG),t}(r=e.exports=t(\"./debug\")).log=function(){return\"object\"==typeof console&&console.log&&Function.prototype.apply.call(console.log,console,arguments)},r.formatArgs=function(t){var e=this.useColors;if(t[0]=(e?\"%c\":\"\")+this.namespace+(e?\" %c\":\" \")+t[0]+(e?\"%c \":\" \")+\"+\"+r.humanize(this.diff),!e)return;var n=\"color: \"+this.color;t.splice(1,0,n,\"color: inherit\");var i=0,a=0;t[0].replace(/%[a-zA-Z%]/g,(function(t){\"%%\"!==t&&(i++,\"%c\"===t&&(a=i))})),t.splice(a,0,n)},r.save=function(t){try{null==t?r.storage.removeItem(\"debug\"):r.storage.debug=t}catch(t){}},r.load=i,r.useColors=function(){if(\"undefined\"!=typeof window&&window.process&&\"renderer\"===window.process.type)return!0;return\"undefined\"!=typeof document&&document.documentElement&&document.documentElement.style&&document.documentElement.style.WebkitAppearance||\"undefined\"!=typeof window&&window.console&&(window.console.firebug||window.console.exception&&window.console.table)||\"undefined\"!=typeof navigator&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/firefox\\/(\\d+)/)&&parseInt(RegExp.$1,10)>=31||\"undefined\"!=typeof navigator&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/applewebkit\\/(\\d+)/)},r.storage=\"undefined\"!=typeof chrome&&void 0!==chrome.storage?chrome.storage.local:function(){try{return window.localStorage}catch(t){}}(),r.colors=[\"lightseagreen\",\"forestgreen\",\"goldenrod\",\"dodgerblue\",\"darkorchid\",\"crimson\"],r.formatters.j=function(t){try{return JSON.stringify(t)}catch(t){return\"[UnexpectedJSONParseError]: \"+t.message}},r.enable(i())}).call(this)}).call(this,t(\"_process\"))},{\"./debug\":583,_process:524}],583:[function(t,e,r){var n;function i(t){function e(){if(e.enabled){var t=e,i=+new Date,a=i-(n||i);t.diff=a,t.prev=n,t.curr=i,n=i;for(var o=new Array(arguments.length),s=0;s<o.length;s++)o[s]=arguments[s];o[0]=r.coerce(o[0]),\"string\"!=typeof o[0]&&o.unshift(\"%O\");var l=0;o[0]=o[0].replace(/%([a-zA-Z%])/g,(function(e,n){if(\"%%\"===e)return e;l++;var i=r.formatters[n];if(\"function\"==typeof i){var a=o[l];e=i.call(t,a),o.splice(l,1),l--}return e})),r.formatArgs.call(t,o);var c=e.log||r.log||console.log.bind(console);c.apply(t,o)}}return e.namespace=t,e.enabled=r.enabled(t),e.useColors=r.useColors(),e.color=function(t){var e,n=0;for(e in t)n=(n<<5)-n+t.charCodeAt(e),n|=0;return r.colors[Math.abs(n)%r.colors.length]}(t),\"function\"==typeof r.init&&r.init(e),e}(r=e.exports=i.debug=i.default=i).coerce=function(t){return t instanceof Error?t.stack||t.message:t},r.disable=function(){r.enable(\"\")},r.enable=function(t){r.save(t),r.names=[],r.skips=[];for(var e=(\"string\"==typeof t?t:\"\").split(/[\\s,]+/),n=e.length,i=0;i<n;i++)e[i]&&(\"-\"===(t=e[i].replace(/\\*/g,\".*?\"))[0]?r.skips.push(new RegExp(\"^\"+t.substr(1)+\"$\")):r.names.push(new RegExp(\"^\"+t+\"$\")))},r.enabled=function(t){var e,n;for(e=0,n=r.skips.length;e<n;e++)if(r.skips[e].test(t))return!1;for(e=0,n=r.names.length;e<n;e++)if(r.names[e].test(t))return!0;return!1},r.humanize=t(\"ms\"),r.names=[],r.skips=[],r.formatters={}},{ms:584}],584:[function(t,e,r){var n=1e3,i=6e4,a=60*i,o=24*a;function s(t,e,r){if(!(t<e))return t<1.5*e?Math.floor(t/e)+\" \"+r:Math.ceil(t/e)+\" \"+r+\"s\"}e.exports=function(t,e){e=e||{};var r,l=typeof t;if(\"string\"===l&&t.length>0)return function(t){if((t=String(t)).length>100)return;var e=/^((?:\\d+)?\\.?\\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(t);if(!e)return;var r=parseFloat(e[1]);switch((e[2]||\"ms\").toLowerCase()){case\"years\":case\"year\":case\"yrs\":case\"yr\":case\"y\":return 315576e5*r;case\"days\":case\"day\":case\"d\":return r*o;case\"hours\":case\"hour\":case\"hrs\":case\"hr\":case\"h\":return r*a;case\"minutes\":case\"minute\":case\"mins\":case\"min\":case\"m\":return r*i;case\"seconds\":case\"second\":case\"secs\":case\"sec\":case\"s\":return r*n;case\"milliseconds\":case\"millisecond\":case\"msecs\":case\"msec\":case\"ms\":return r;default:return}}(t);if(\"number\"===l&&!1===isNaN(t))return e.long?s(r=t,o,\"day\")||s(r,a,\"hour\")||s(r,i,\"minute\")||s(r,n,\"second\")||r+\" ms\":function(t){if(t>=o)return Math.round(t/o)+\"d\";if(t>=a)return Math.round(t/a)+\"h\";if(t>=i)return Math.round(t/i)+\"m\";if(t>=n)return Math.round(t/n)+\"s\";return t+\"ms\"}(t);throw new Error(\"val is not a non-empty string or a valid number. val=\"+JSON.stringify(t))}},{}],585:[function(t,e,r){\"use strict\";var n=t(\"parenthesis\");e.exports=function(t,e,r){if(null==t)throw Error(\"First argument should be a string\");if(null==e)throw Error(\"Separator should be a string or a RegExp\");r?(\"string\"==typeof r||Array.isArray(r))&&(r={ignore:r}):r={},null==r.escape&&(r.escape=!0),null==r.ignore?r.ignore=[\"[]\",\"()\",\"{}\",\"<>\",'\"\"',\"''\",\"``\",\"\\u201c\\u201d\",\"\\xab\\xbb\"]:(\"string\"==typeof r.ignore&&(r.ignore=[r.ignore]),r.ignore=r.ignore.map((function(t){return 1===t.length&&(t+=t),t})));var i=n.parse(t,{flat:!0,brackets:r.ignore}),a=i[0].split(e);if(r.escape){for(var o=[],s=0;s<a.length;s++){var l=a[s],c=a[s+1];\"\\\\\"===l[l.length-1]&&\"\\\\\"!==l[l.length-2]?(o.push(l+e+c),s++):o.push(l)}a=o}for(s=0;s<a.length;s++)i[0]=a[s],a[s]=n.stringify(i,{flat:!0});return a}},{parenthesis:487}],586:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=new Array(e),n=new Array(e),i=new Array(e),a=new Array(e),o=new Array(e),s=new Array(e),l=0;l<e;++l)r[l]=-1,n[l]=0,i[l]=!1,a[l]=0,o[l]=-1,s[l]=[];var c,u=0,f=[],h=[];function p(e){var l=[e],c=[e];for(r[e]=n[e]=u,i[e]=!0,u+=1;c.length>0;){e=c[c.length-1];var p=t[e];if(a[e]<p.length){for(var d=a[e];d<p.length;++d){var m=p[d];if(r[m]<0){r[m]=n[m]=u,i[m]=!0,u+=1,l.push(m),c.push(m);break}i[m]&&(n[e]=0|Math.min(n[e],n[m])),o[m]>=0&&s[e].push(o[m])}a[e]=d}else{if(n[e]===r[e]){var g=[],v=[],y=0;for(d=l.length-1;d>=0;--d){var x=l[d];if(i[x]=!1,g.push(x),v.push(s[x]),y+=s[x].length,o[x]=f.length,x===e){l.length=d;break}}f.push(g);var b=new Array(y);for(d=0;d<v.length;d++)for(var _=0;_<v[d].length;_++)b[--y]=v[d][_];h.push(b)}c.pop()}}}for(l=0;l<e;++l)r[l]<0&&p(l);for(l=0;l<h.length;l++){var d=h[l];if(0!==d.length){d.sort((function(t,e){return t-e})),c=[d[0]];for(var m=1;m<d.length;m++)d[m]!==d[m-1]&&c.push(d[m]);h[l]=c}}return{components:f,adjacencyList:h}}},{}],587:[function(t,e,r){\"use strict\";e.exports=function(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return function(t,e){for(var r=a(t,e),n=r.length,i=new Array(n),o=new Array(n),s=0;s<n;++s)i[s]=[r[s]],o[s]=[s];return{positions:i,cells:o}}(t,e);var r=t.order.join()+\"-\"+t.dtype,s=o[r];e=+e||0;s||(s=o[r]=function(t,e){var r=t.length,a=[\"'use strict';\"],o=\"surfaceNets\"+t.join(\"_\")+\"d\"+e;a.push(\"var contour=genContour({\",\"order:[\",t.join(),\"],\",\"scalarArguments: 3,\",\"phase:function phaseFunc(p,a,b,c) { return (p > c)|0 },\"),\"generic\"===e&&a.push(\"getters:[0],\");for(var s=[],l=[],c=0;c<r;++c)s.push(\"d\"+c),l.push(\"d\"+c);for(c=0;c<1<<r;++c)s.push(\"v\"+c),l.push(\"v\"+c);for(c=0;c<1<<r;++c)s.push(\"p\"+c),l.push(\"p\"+c);s.push(\"a\",\"b\",\"c\"),l.push(\"a\",\"c\"),a.push(\"vertex:function vertexFunc(\",s.join(),\"){\");var u=[];for(c=0;c<1<<r;++c)u.push(\"(p\"+c+\"<<\"+c+\")\");a.push(\"var m=(\",u.join(\"+\"),\")|0;if(m===0||m===\",(1<<(1<<r))-1,\"){return}\");var f=[],h=[];1<<(1<<r)<=128?(a.push(\"switch(m){\"),h=a):a.push(\"switch(m>>>7){\");for(c=0;c<1<<(1<<r);++c){if(1<<(1<<r)>128&&c%128==0){f.length>0&&h.push(\"}}\");var p=\"vExtra\"+f.length;a.push(\"case \",c>>>7,\":\",p,\"(m&0x7f,\",l.join(),\");break;\"),h=[\"function \",p,\"(m,\",l.join(),\"){switch(m){\"],f.push(h)}h.push(\"case \",127&c,\":\");for(var d=new Array(r),m=new Array(r),g=new Array(r),v=new Array(r),y=0,x=0;x<r;++x)d[x]=[],m[x]=[],g[x]=0,v[x]=0;for(x=0;x<1<<r;++x)for(var b=0;b<r;++b){var _=x^1<<b;if(!(_>x)&&!(c&1<<_)!=!(c&1<<x)){var w=1;c&1<<_?m[b].push(\"v\"+_+\"-v\"+x):(m[b].push(\"v\"+x+\"-v\"+_),w=-w),w<0?(d[b].push(\"-v\"+x+\"-v\"+_),g[b]+=2):(d[b].push(\"v\"+x+\"+v\"+_),g[b]-=2),y+=1;for(var T=0;T<r;++T)T!==b&&(_&1<<T?v[T]+=1:v[T]-=1)}}var k=[];for(b=0;b<r;++b)if(0===d[b].length)k.push(\"d\"+b+\"-0.5\");else{var M=\"\";g[b]<0?M=g[b]+\"*c\":g[b]>0&&(M=\"+\"+g[b]+\"*c\");var A=d[b].length/y*.5,S=.5+v[b]/y*.5;k.push(\"d\"+b+\"-\"+S+\"-\"+A+\"*(\"+d[b].join(\"+\")+M+\")/(\"+m[b].join(\"+\")+\")\")}h.push(\"a.push([\",k.join(),\"]);\",\"break;\")}a.push(\"}},\"),f.length>0&&h.push(\"}}\");var E=[];for(c=0;c<1<<r-1;++c)E.push(\"v\"+c);E.push(\"c0\",\"c1\",\"p0\",\"p1\",\"a\",\"b\",\"c\"),a.push(\"cell:function cellFunc(\",E.join(),\"){\");var L=i(r-1);a.push(\"if(p0){b.push(\",L.map((function(t){return\"[\"+t.map((function(t){return\"v\"+t}))+\"]\"})).join(),\")}else{b.push(\",L.map((function(t){var e=t.slice();return e.reverse(),\"[\"+e.map((function(t){return\"v\"+t}))+\"]\"})).join(),\")}}});function \",o,\"(array,level){var verts=[],cells=[];contour(array,verts,cells,level);return {positions:verts,cells:cells};} return \",o,\";\");for(c=0;c<f.length;++c)a.push(f[c].join(\"\"));return new Function(\"genContour\",a.join(\"\"))(n)}(t.order,t.dtype));return s(t,e)};var n=t(\"ndarray-extract-contour\"),i=t(\"triangulate-hypercube\"),a=t(\"zero-crossings\");var o={}},{\"ndarray-extract-contour\":471,\"triangulate-hypercube\":598,\"zero-crossings\":643}],588:[function(t,e,r){\"use strict\";Object.defineProperty(r,\"__esModule\",{value:!0});var n=function(t,e){if(Array.isArray(t))return t;if(Symbol.iterator in Object(t))return function(t,e){var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{!n&&s.return&&s.return()}finally{if(i)throw a}}return r}(t,e);throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")},i=2*Math.PI,a=function(t,e,r,n,i,a,o){var s=t.x,l=t.y;return{x:n*(s*=e)-i*(l*=r)+a,y:i*s+n*l+o}},o=function(t,e){var r=1.5707963267948966===e?.551915024494:-1.5707963267948966===e?-.551915024494:4/3*Math.tan(e/4),n=Math.cos(t),i=Math.sin(t),a=Math.cos(t+e),o=Math.sin(t+e);return[{x:n-i*r,y:i+n*r},{x:a+o*r,y:o-a*r},{x:a,y:o}]},s=function(t,e,r,n){var i=t*r+e*n;return i>1&&(i=1),i<-1&&(i=-1),(t*n-e*r<0?-1:1)*Math.acos(i)};r.default=function(t){var e=t.px,r=t.py,l=t.cx,c=t.cy,u=t.rx,f=t.ry,h=t.xAxisRotation,p=void 0===h?0:h,d=t.largeArcFlag,m=void 0===d?0:d,g=t.sweepFlag,v=void 0===g?0:g,y=[];if(0===u||0===f)return[];var x=Math.sin(p*i/360),b=Math.cos(p*i/360),_=b*(e-l)/2+x*(r-c)/2,w=-x*(e-l)/2+b*(r-c)/2;if(0===_&&0===w)return[];u=Math.abs(u),f=Math.abs(f);var T=Math.pow(_,2)/Math.pow(u,2)+Math.pow(w,2)/Math.pow(f,2);T>1&&(u*=Math.sqrt(T),f*=Math.sqrt(T));var k=function(t,e,r,n,a,o,l,c,u,f,h,p){var d=Math.pow(a,2),m=Math.pow(o,2),g=Math.pow(h,2),v=Math.pow(p,2),y=d*m-d*v-m*g;y<0&&(y=0),y/=d*v+m*g;var x=(y=Math.sqrt(y)*(l===c?-1:1))*a/o*p,b=y*-o/a*h,_=f*x-u*b+(t+r)/2,w=u*x+f*b+(e+n)/2,T=(h-x)/a,k=(p-b)/o,M=(-h-x)/a,A=(-p-b)/o,S=s(1,0,T,k),E=s(T,k,M,A);return 0===c&&E>0&&(E-=i),1===c&&E<0&&(E+=i),[_,w,S,E]}(e,r,l,c,u,f,m,v,x,b,_,w),M=n(k,4),A=M[0],S=M[1],E=M[2],L=M[3],C=Math.abs(L)/(i/4);Math.abs(1-C)<1e-7&&(C=1);var P=Math.max(Math.ceil(C),1);L/=P;for(var I=0;I<P;I++)y.push(o(E,L)),E+=L;return y.map((function(t){var e=a(t[0],u,f,b,x,A,S),r=e.x,n=e.y,i=a(t[1],u,f,b,x,A,S),o=i.x,s=i.y,l=a(t[2],u,f,b,x,A,S);return{x1:r,y1:n,x2:o,y2:s,x:l.x,y:l.y}}))},e.exports=r.default},{}],589:[function(t,e,r){\"use strict\";var n=t(\"parse-svg-path\"),i=t(\"abs-svg-path\"),a=t(\"normalize-svg-path\"),o=t(\"is-svg-path\"),s=t(\"assert\");e.exports=function(t){Array.isArray(t)&&1===t.length&&\"string\"==typeof t[0]&&(t=t[0]);\"string\"==typeof t&&(s(o(t),\"String is not an SVG path.\"),t=n(t));if(s(Array.isArray(t),\"Argument should be a string or an array of path segments.\"),t=i(t),!(t=a(t)).length)return[0,0,0,0];for(var e=[1/0,1/0,-1/0,-1/0],r=0,l=t.length;r<l;r++)for(var c=t[r].slice(1),u=0;u<c.length;u+=2)c[u+0]<e[0]&&(e[0]=c[u+0]),c[u+1]<e[1]&&(e[1]=c[u+1]),c[u+0]>e[2]&&(e[2]=c[u+0]),c[u+1]>e[3]&&(e[3]=c[u+1]);return e}},{\"abs-svg-path\":71,assert:80,\"is-svg-path\":455,\"normalize-svg-path\":590,\"parse-svg-path\":489}],590:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=[],o=0,s=0,l=0,c=0,u=null,f=null,h=0,p=0,d=0,m=t.length;d<m;d++){var g=t[d],v=g[0];switch(v){case\"M\":l=g[1],c=g[2];break;case\"A\":var y=n({px:h,py:p,cx:g[6],cy:g[7],rx:g[1],ry:g[2],xAxisRotation:g[3],largeArcFlag:g[4],sweepFlag:g[5]});if(!y.length)continue;for(var x,b=0;b<y.length;b++)x=y[b],g=[\"C\",x.x1,x.y1,x.x2,x.y2,x.x,x.y],b<y.length-1&&r.push(g);break;case\"S\":var _=h,w=p;\"C\"!=e&&\"S\"!=e||(_+=_-o,w+=w-s),g=[\"C\",_,w,g[1],g[2],g[3],g[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(u=2*h-u,f=2*p-f):(u=h,f=p),g=a(h,p,u,f,g[1],g[2]);break;case\"Q\":u=g[1],f=g[2],g=a(h,p,g[1],g[2],g[3],g[4]);break;case\"L\":g=i(h,p,g[1],g[2]);break;case\"H\":g=i(h,p,g[1],p);break;case\"V\":g=i(h,p,h,g[1]);break;case\"Z\":g=i(h,p,l,c)}e=v,h=g[g.length-2],p=g[g.length-1],g.length>4?(o=g[g.length-4],s=g[g.length-3]):(o=h,s=p),r.push(g)}return r};var n=t(\"svg-arc-to-cubic-bezier\");function i(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function a(t,e,r,n,i,a){return[\"C\",t/3+2/3*r,e/3+2/3*n,i/3+2/3*r,a/3+2/3*n,i,a]}},{\"svg-arc-to-cubic-bezier\":588}],591:[function(t,e,r){\"use strict\";var n,i=t(\"svg-path-bounds\"),a=t(\"parse-svg-path\"),o=t(\"draw-svg-path\"),s=t(\"is-svg-path\"),l=t(\"bitmap-sdf\"),c=document.createElement(\"canvas\"),u=c.getContext(\"2d\");e.exports=function(t,e){if(!s(t))throw Error(\"Argument should be valid svg path string\");e||(e={});var r,f;e.shape?(r=e.shape[0],f=e.shape[1]):(r=c.width=e.w||e.width||200,f=c.height=e.h||e.height||200);var h=Math.min(r,f),p=e.stroke||0,d=e.viewbox||e.viewBox||i(t),m=[r/(d[2]-d[0]),f/(d[3]-d[1])],g=Math.min(m[0]||0,m[1]||0)/2;u.fillStyle=\"black\",u.fillRect(0,0,r,f),u.fillStyle=\"white\",p&&(\"number\"!=typeof p&&(p=1),u.strokeStyle=p>0?\"white\":\"black\",u.lineWidth=Math.abs(p));if(u.translate(.5*r,.5*f),u.scale(g,g),function(){if(null!=n)return n;var t=document.createElement(\"canvas\").getContext(\"2d\");if(t.canvas.width=t.canvas.height=1,!window.Path2D)return n=!1;var e=new Path2D(\"M0,0h1v1h-1v-1Z\");t.fillStyle=\"black\",t.fill(e);var r=t.getImageData(0,0,1,1);return n=r&&r.data&&255===r.data[3]}()){var v=new Path2D(t);u.fill(v),p&&u.stroke(v)}else{var y=a(t);o(u,y),u.fill(),p&&u.stroke()}return u.setTransform(1,0,0,1,0,0),l(u,{cutoff:null!=e.cutoff?e.cutoff:.5,radius:null!=e.radius?e.radius:.5*h})}},{\"bitmap-sdf\":105,\"draw-svg-path\":179,\"is-svg-path\":455,\"parse-svg-path\":489,\"svg-path-bounds\":589}],592:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function t(e,r,i){i=i||{};var o=a[e];o||(o=a[e]={\" \":{data:new Float32Array(0),shape:.2}});var s=o[r];if(!s)if(r.length<=1||!/\\d/.test(r))s=o[r]=function(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o<e.length;++o)for(var s=e[o],l=0;l<3;++l){var c=r[s[l]];n[i++]=c[0],n[i++]=c[1]+1.4,a=Math.max(c[0],a)}return{data:n,shape:a}}(n(r,{triangles:!0,font:e,textAlign:i.textAlign||\"left\",textBaseline:\"alphabetic\",styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}}));else{for(var l=r.split(/(\\d|\\s)/),c=new Array(l.length),u=0,f=0,h=0;h<l.length;++h)c[h]=t(e,l[h]),u+=c[h].data.length,f+=c[h].shape,h>0&&(f+=.02);var p=new Float32Array(u),d=0,m=-.5*f;for(h=0;h<c.length;++h){for(var g=c[h].data,v=0;v<g.length;v+=2)p[d++]=g[v]+m,p[d++]=g[v+1];m+=c[h].shape+.02}s=o[r]={data:p,shape:f}}return s};var n=t(\"vectorize-text\"),i=window||r.global||{},a=i.__TEXT_CACHE||{};i.__TEXT_CACHE={}}).call(this)}).call(this,t(\"_process\"))},{_process:524,\"vectorize-text\":619}],593:[function(t,e,r){(function(e,n){(function(){var i=t(\"process/browser.js\").nextTick,a=Function.prototype.apply,o=Array.prototype.slice,s={},l=0;function c(t,e){this._id=t,this._clearFn=e}r.setTimeout=function(){return new c(a.call(setTimeout,window,arguments),clearTimeout)},r.setInterval=function(){return new c(a.call(setInterval,window,arguments),clearInterval)},r.clearTimeout=r.clearInterval=function(t){t.close()},c.prototype.unref=c.prototype.ref=function(){},c.prototype.close=function(){this._clearFn.call(window,this._id)},r.enroll=function(t,e){clearTimeout(t._idleTimeoutId),t._idleTimeout=e},r.unenroll=function(t){clearTimeout(t._idleTimeoutId),t._idleTimeout=-1},r._unrefActive=r.active=function(t){clearTimeout(t._idleTimeoutId);var e=t._idleTimeout;e>=0&&(t._idleTimeoutId=setTimeout((function(){t._onTimeout&&t._onTimeout()}),e))},r.setImmediate=\"function\"==typeof e?e:function(t){var e=l++,n=!(arguments.length<2)&&o.call(arguments,1);return s[e]=!0,i((function(){s[e]&&(n?t.apply(null,n):t.call(null),r.clearImmediate(e))})),e},r.clearImmediate=\"function\"==typeof n?n:function(t){delete s[t]}}).call(this)}).call(this,t(\"timers\").setImmediate,t(\"timers\").clearImmediate)},{\"process/browser.js\":524,timers:593}],594:[function(t,e,r){!function(t){var r=/^\\s+/,n=/\\s+$/,i=0,a=t.round,o=t.min,s=t.max,l=t.random;function c(e,l){if(l=l||{},(e=e||\"\")instanceof c)return e;if(!(this instanceof c))return new c(e,l);var u=function(e){var i={r:0,g:0,b:0},a=1,l=null,c=null,u=null,f=!1,h=!1;\"string\"==typeof e&&(e=function(t){t=t.replace(r,\"\").replace(n,\"\").toLowerCase();var e,i=!1;if(S[t])t=S[t],i=!0;else if(\"transparent\"==t)return{r:0,g:0,b:0,a:0,format:\"name\"};if(e=j.rgb.exec(t))return{r:e[1],g:e[2],b:e[3]};if(e=j.rgba.exec(t))return{r:e[1],g:e[2],b:e[3],a:e[4]};if(e=j.hsl.exec(t))return{h:e[1],s:e[2],l:e[3]};if(e=j.hsla.exec(t))return{h:e[1],s:e[2],l:e[3],a:e[4]};if(e=j.hsv.exec(t))return{h:e[1],s:e[2],v:e[3]};if(e=j.hsva.exec(t))return{h:e[1],s:e[2],v:e[3],a:e[4]};if(e=j.hex8.exec(t))return{r:I(e[1]),g:I(e[2]),b:I(e[3]),a:R(e[4]),format:i?\"name\":\"hex8\"};if(e=j.hex6.exec(t))return{r:I(e[1]),g:I(e[2]),b:I(e[3]),format:i?\"name\":\"hex\"};if(e=j.hex4.exec(t))return{r:I(e[1]+\"\"+e[1]),g:I(e[2]+\"\"+e[2]),b:I(e[3]+\"\"+e[3]),a:R(e[4]+\"\"+e[4]),format:i?\"name\":\"hex8\"};if(e=j.hex3.exec(t))return{r:I(e[1]+\"\"+e[1]),g:I(e[2]+\"\"+e[2]),b:I(e[3]+\"\"+e[3]),format:i?\"name\":\"hex\"};return!1}(e));\"object\"==typeof e&&(U(e.r)&&U(e.g)&&U(e.b)?(p=e.r,d=e.g,m=e.b,i={r:255*C(p,255),g:255*C(d,255),b:255*C(m,255)},f=!0,h=\"%\"===String(e.r).substr(-1)?\"prgb\":\"rgb\"):U(e.h)&&U(e.s)&&U(e.v)?(l=z(e.s),c=z(e.v),i=function(e,r,n){e=6*C(e,360),r=C(r,100),n=C(n,100);var i=t.floor(e),a=e-i,o=n*(1-r),s=n*(1-a*r),l=n*(1-(1-a)*r),c=i%6;return{r:255*[n,s,o,o,l,n][c],g:255*[l,n,n,s,o,o][c],b:255*[o,o,l,n,n,s][c]}}(e.h,l,c),f=!0,h=\"hsv\"):U(e.h)&&U(e.s)&&U(e.l)&&(l=z(e.s),u=z(e.l),i=function(t,e,r){var n,i,a;function o(t,e,r){return r<0&&(r+=1),r>1&&(r-=1),r<1/6?t+6*(e-t)*r:r<.5?e:r<2/3?t+(e-t)*(2/3-r)*6:t}if(t=C(t,360),e=C(e,100),r=C(r,100),0===e)n=i=a=r;else{var s=r<.5?r*(1+e):r+e-r*e,l=2*r-s;n=o(l,s,t+1/3),i=o(l,s,t),a=o(l,s,t-1/3)}return{r:255*n,g:255*i,b:255*a}}(e.h,l,u),f=!0,h=\"hsl\"),e.hasOwnProperty(\"a\")&&(a=e.a));var p,d,m;return a=L(a),{ok:f,format:e.format||h,r:o(255,s(i.r,0)),g:o(255,s(i.g,0)),b:o(255,s(i.b,0)),a:a}}(e);this._originalInput=e,this._r=u.r,this._g=u.g,this._b=u.b,this._a=u.a,this._roundA=a(100*this._a)/100,this._format=l.format||u.format,this._gradientType=l.gradientType,this._r<1&&(this._r=a(this._r)),this._g<1&&(this._g=a(this._g)),this._b<1&&(this._b=a(this._b)),this._ok=u.ok,this._tc_id=i++}function u(t,e,r){t=C(t,255),e=C(e,255),r=C(r,255);var n,i,a=s(t,e,r),l=o(t,e,r),c=(a+l)/2;if(a==l)n=i=0;else{var u=a-l;switch(i=c>.5?u/(2-a-l):u/(a+l),a){case t:n=(e-r)/u+(e<r?6:0);break;case e:n=(r-t)/u+2;break;case r:n=(t-e)/u+4}n/=6}return{h:n,s:i,l:c}}function f(t,e,r){t=C(t,255),e=C(e,255),r=C(r,255);var n,i,a=s(t,e,r),l=o(t,e,r),c=a,u=a-l;if(i=0===a?0:u/a,a==l)n=0;else{switch(a){case t:n=(e-r)/u+(e<r?6:0);break;case e:n=(r-t)/u+2;break;case r:n=(t-e)/u+4}n/=6}return{h:n,s:i,v:c}}function h(t,e,r,n){var i=[O(a(t).toString(16)),O(a(e).toString(16)),O(a(r).toString(16))];return n&&i[0].charAt(0)==i[0].charAt(1)&&i[1].charAt(0)==i[1].charAt(1)&&i[2].charAt(0)==i[2].charAt(1)?i[0].charAt(0)+i[1].charAt(0)+i[2].charAt(0):i.join(\"\")}function p(t,e,r,n){return[O(D(n)),O(a(t).toString(16)),O(a(e).toString(16)),O(a(r).toString(16))].join(\"\")}function d(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.s-=e/100,r.s=P(r.s),c(r)}function m(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.s+=e/100,r.s=P(r.s),c(r)}function g(t){return c(t).desaturate(100)}function v(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.l+=e/100,r.l=P(r.l),c(r)}function y(t,e){e=0===e?0:e||10;var r=c(t).toRgb();return r.r=s(0,o(255,r.r-a(-e/100*255))),r.g=s(0,o(255,r.g-a(-e/100*255))),r.b=s(0,o(255,r.b-a(-e/100*255))),c(r)}function x(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.l-=e/100,r.l=P(r.l),c(r)}function b(t,e){var r=c(t).toHsl(),n=(r.h+e)%360;return r.h=n<0?360+n:n,c(r)}function _(t){var e=c(t).toHsl();return e.h=(e.h+180)%360,c(e)}function w(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+120)%360,s:e.s,l:e.l}),c({h:(r+240)%360,s:e.s,l:e.l})]}function T(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+90)%360,s:e.s,l:e.l}),c({h:(r+180)%360,s:e.s,l:e.l}),c({h:(r+270)%360,s:e.s,l:e.l})]}function k(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+72)%360,s:e.s,l:e.l}),c({h:(r+216)%360,s:e.s,l:e.l})]}function M(t,e,r){e=e||6,r=r||30;var n=c(t).toHsl(),i=360/r,a=[c(t)];for(n.h=(n.h-(i*e>>1)+720)%360;--e;)n.h=(n.h+i)%360,a.push(c(n));return a}function A(t,e){e=e||6;for(var r=c(t).toHsv(),n=r.h,i=r.s,a=r.v,o=[],s=1/e;e--;)o.push(c({h:n,s:i,v:a})),a=(a+s)%1;return o}c.prototype={isDark:function(){return this.getBrightness()<128},isLight:function(){return!this.isDark()},isValid:function(){return this._ok},getOriginalInput:function(){return this._originalInput},getFormat:function(){return this._format},getAlpha:function(){return this._a},getBrightness:function(){var t=this.toRgb();return(299*t.r+587*t.g+114*t.b)/1e3},getLuminance:function(){var e,r,n,i=this.toRgb();return e=i.r/255,r=i.g/255,n=i.b/255,.2126*(e<=.03928?e/12.92:t.pow((e+.055)/1.055,2.4))+.7152*(r<=.03928?r/12.92:t.pow((r+.055)/1.055,2.4))+.0722*(n<=.03928?n/12.92:t.pow((n+.055)/1.055,2.4))},setAlpha:function(t){return this._a=L(t),this._roundA=a(100*this._a)/100,this},toHsv:function(){var t=f(this._r,this._g,this._b);return{h:360*t.h,s:t.s,v:t.v,a:this._a}},toHsvString:function(){var t=f(this._r,this._g,this._b),e=a(360*t.h),r=a(100*t.s),n=a(100*t.v);return 1==this._a?\"hsv(\"+e+\", \"+r+\"%, \"+n+\"%)\":\"hsva(\"+e+\", \"+r+\"%, \"+n+\"%, \"+this._roundA+\")\"},toHsl:function(){var t=u(this._r,this._g,this._b);return{h:360*t.h,s:t.s,l:t.l,a:this._a}},toHslString:function(){var t=u(this._r,this._g,this._b),e=a(360*t.h),r=a(100*t.s),n=a(100*t.l);return 1==this._a?\"hsl(\"+e+\", \"+r+\"%, \"+n+\"%)\":\"hsla(\"+e+\", \"+r+\"%, \"+n+\"%, \"+this._roundA+\")\"},toHex:function(t){return h(this._r,this._g,this._b,t)},toHexString:function(t){return\"#\"+this.toHex(t)},toHex8:function(t){return function(t,e,r,n,i){var o=[O(a(t).toString(16)),O(a(e).toString(16)),O(a(r).toString(16)),O(D(n))];if(i&&o[0].charAt(0)==o[0].charAt(1)&&o[1].charAt(0)==o[1].charAt(1)&&o[2].charAt(0)==o[2].charAt(1)&&o[3].charAt(0)==o[3].charAt(1))return o[0].charAt(0)+o[1].charAt(0)+o[2].charAt(0)+o[3].charAt(0);return o.join(\"\")}(this._r,this._g,this._b,this._a,t)},toHex8String:function(t){return\"#\"+this.toHex8(t)},toRgb:function(){return{r:a(this._r),g:a(this._g),b:a(this._b),a:this._a}},toRgbString:function(){return 1==this._a?\"rgb(\"+a(this._r)+\", \"+a(this._g)+\", \"+a(this._b)+\")\":\"rgba(\"+a(this._r)+\", \"+a(this._g)+\", \"+a(this._b)+\", \"+this._roundA+\")\"},toPercentageRgb:function(){return{r:a(100*C(this._r,255))+\"%\",g:a(100*C(this._g,255))+\"%\",b:a(100*C(this._b,255))+\"%\",a:this._a}},toPercentageRgbString:function(){return 1==this._a?\"rgb(\"+a(100*C(this._r,255))+\"%, \"+a(100*C(this._g,255))+\"%, \"+a(100*C(this._b,255))+\"%)\":\"rgba(\"+a(100*C(this._r,255))+\"%, \"+a(100*C(this._g,255))+\"%, \"+a(100*C(this._b,255))+\"%, \"+this._roundA+\")\"},toName:function(){return 0===this._a?\"transparent\":!(this._a<1)&&(E[h(this._r,this._g,this._b,!0)]||!1)},toFilter:function(t){var e=\"#\"+p(this._r,this._g,this._b,this._a),r=e,n=this._gradientType?\"GradientType = 1, \":\"\";if(t){var i=c(t);r=\"#\"+p(i._r,i._g,i._b,i._a)}return\"progid:DXImageTransform.Microsoft.gradient(\"+n+\"startColorstr=\"+e+\",endColorstr=\"+r+\")\"},toString:function(t){var e=!!t;t=t||this._format;var r=!1,n=this._a<1&&this._a>=0;return e||!n||\"hex\"!==t&&\"hex6\"!==t&&\"hex3\"!==t&&\"hex4\"!==t&&\"hex8\"!==t&&\"name\"!==t?(\"rgb\"===t&&(r=this.toRgbString()),\"prgb\"===t&&(r=this.toPercentageRgbString()),\"hex\"!==t&&\"hex6\"!==t||(r=this.toHexString()),\"hex3\"===t&&(r=this.toHexString(!0)),\"hex4\"===t&&(r=this.toHex8String(!0)),\"hex8\"===t&&(r=this.toHex8String()),\"name\"===t&&(r=this.toName()),\"hsl\"===t&&(r=this.toHslString()),\"hsv\"===t&&(r=this.toHsvString()),r||this.toHexString()):\"name\"===t&&0===this._a?this.toName():this.toRgbString()},clone:function(){return c(this.toString())},_applyModification:function(t,e){var r=t.apply(null,[this].concat([].slice.call(e)));return this._r=r._r,this._g=r._g,this._b=r._b,this.setAlpha(r._a),this},lighten:function(){return this._applyModification(v,arguments)},brighten:function(){return this._applyModification(y,arguments)},darken:function(){return this._applyModification(x,arguments)},desaturate:function(){return this._applyModification(d,arguments)},saturate:function(){return this._applyModification(m,arguments)},greyscale:function(){return this._applyModification(g,arguments)},spin:function(){return this._applyModification(b,arguments)},_applyCombination:function(t,e){return t.apply(null,[this].concat([].slice.call(e)))},analogous:function(){return this._applyCombination(M,arguments)},complement:function(){return this._applyCombination(_,arguments)},monochromatic:function(){return this._applyCombination(A,arguments)},splitcomplement:function(){return this._applyCombination(k,arguments)},triad:function(){return this._applyCombination(w,arguments)},tetrad:function(){return this._applyCombination(T,arguments)}},c.fromRatio=function(t,e){if(\"object\"==typeof t){var r={};for(var n in t)t.hasOwnProperty(n)&&(r[n]=\"a\"===n?t[n]:z(t[n]));t=r}return c(t,e)},c.equals=function(t,e){return!(!t||!e)&&c(t).toRgbString()==c(e).toRgbString()},c.random=function(){return c.fromRatio({r:l(),g:l(),b:l()})},c.mix=function(t,e,r){r=0===r?0:r||50;var n=c(t).toRgb(),i=c(e).toRgb(),a=r/100;return c({r:(i.r-n.r)*a+n.r,g:(i.g-n.g)*a+n.g,b:(i.b-n.b)*a+n.b,a:(i.a-n.a)*a+n.a})},c.readability=function(e,r){var n=c(e),i=c(r);return(t.max(n.getLuminance(),i.getLuminance())+.05)/(t.min(n.getLuminance(),i.getLuminance())+.05)},c.isReadable=function(t,e,r){var n,i,a=c.readability(t,e);switch(i=!1,(n=function(t){var e,r;e=((t=t||{level:\"AA\",size:\"small\"}).level||\"AA\").toUpperCase(),r=(t.size||\"small\").toLowerCase(),\"AA\"!==e&&\"AAA\"!==e&&(e=\"AA\");\"small\"!==r&&\"large\"!==r&&(r=\"small\");return{level:e,size:r}}(r)).level+n.size){case\"AAsmall\":case\"AAAlarge\":i=a>=4.5;break;case\"AAlarge\":i=a>=3;break;case\"AAAsmall\":i=a>=7}return i},c.mostReadable=function(t,e,r){var n,i,a,o,s=null,l=0;i=(r=r||{}).includeFallbackColors,a=r.level,o=r.size;for(var u=0;u<e.length;u++)(n=c.readability(t,e[u]))>l&&(l=n,s=c(e[u]));return c.isReadable(t,s,{level:a,size:o})||!i?s:(r.includeFallbackColors=!1,c.mostReadable(t,[\"#fff\",\"#000\"],r))};var S=c.names={aliceblue:\"f0f8ff\",antiquewhite:\"faebd7\",aqua:\"0ff\",aquamarine:\"7fffd4\",azure:\"f0ffff\",beige:\"f5f5dc\",bisque:\"ffe4c4\",black:\"000\",blanchedalmond:\"ffebcd\",blue:\"00f\",blueviolet:\"8a2be2\",brown:\"a52a2a\",burlywood:\"deb887\",burntsienna:\"ea7e5d\",cadetblue:\"5f9ea0\",chartreuse:\"7fff00\",chocolate:\"d2691e\",coral:\"ff7f50\",cornflowerblue:\"6495ed\",cornsilk:\"fff8dc\",crimson:\"dc143c\",cyan:\"0ff\",darkblue:\"00008b\",darkcyan:\"008b8b\",darkgoldenrod:\"b8860b\",darkgray:\"a9a9a9\",darkgreen:\"006400\",darkgrey:\"a9a9a9\",darkkhaki:\"bdb76b\",darkmagenta:\"8b008b\",darkolivegreen:\"556b2f\",darkorange:\"ff8c00\",darkorchid:\"9932cc\",darkred:\"8b0000\",darksalmon:\"e9967a\",darkseagreen:\"8fbc8f\",darkslateblue:\"483d8b\",darkslategray:\"2f4f4f\",darkslategrey:\"2f4f4f\",darkturquoise:\"00ced1\",darkviolet:\"9400d3\",deeppink:\"ff1493\",deepskyblue:\"00bfff\",dimgray:\"696969\",dimgrey:\"696969\",dodgerblue:\"1e90ff\",firebrick:\"b22222\",floralwhite:\"fffaf0\",forestgreen:\"228b22\",fuchsia:\"f0f\",gainsboro:\"dcdcdc\",ghostwhite:\"f8f8ff\",gold:\"ffd700\",goldenrod:\"daa520\",gray:\"808080\",green:\"008000\",greenyellow:\"adff2f\",grey:\"808080\",honeydew:\"f0fff0\",hotpink:\"ff69b4\",indianred:\"cd5c5c\",indigo:\"4b0082\",ivory:\"fffff0\",khaki:\"f0e68c\",lavender:\"e6e6fa\",lavenderblush:\"fff0f5\",lawngreen:\"7cfc00\",lemonchiffon:\"fffacd\",lightblue:\"add8e6\",lightcoral:\"f08080\",lightcyan:\"e0ffff\",lightgoldenrodyellow:\"fafad2\",lightgray:\"d3d3d3\",lightgreen:\"90ee90\",lightgrey:\"d3d3d3\",lightpink:\"ffb6c1\",lightsalmon:\"ffa07a\",lightseagreen:\"20b2aa\",lightskyblue:\"87cefa\",lightslategray:\"789\",lightslategrey:\"789\",lightsteelblue:\"b0c4de\",lightyellow:\"ffffe0\",lime:\"0f0\",limegreen:\"32cd32\",linen:\"faf0e6\",magenta:\"f0f\",maroon:\"800000\",mediumaquamarine:\"66cdaa\",mediumblue:\"0000cd\",mediumorchid:\"ba55d3\",mediumpurple:\"9370db\",mediumseagreen:\"3cb371\",mediumslateblue:\"7b68ee\",mediumspringgreen:\"00fa9a\",mediumturquoise:\"48d1cc\",mediumvioletred:\"c71585\",midnightblue:\"191970\",mintcream:\"f5fffa\",mistyrose:\"ffe4e1\",moccasin:\"ffe4b5\",navajowhite:\"ffdead\",navy:\"000080\",oldlace:\"fdf5e6\",olive:\"808000\",olivedrab:\"6b8e23\",orange:\"ffa500\",orangered:\"ff4500\",orchid:\"da70d6\",palegoldenrod:\"eee8aa\",palegreen:\"98fb98\",paleturquoise:\"afeeee\",palevioletred:\"db7093\",papayawhip:\"ffefd5\",peachpuff:\"ffdab9\",peru:\"cd853f\",pink:\"ffc0cb\",plum:\"dda0dd\",powderblue:\"b0e0e6\",purple:\"800080\",rebeccapurple:\"663399\",red:\"f00\",rosybrown:\"bc8f8f\",royalblue:\"4169e1\",saddlebrown:\"8b4513\",salmon:\"fa8072\",sandybrown:\"f4a460\",seagreen:\"2e8b57\",seashell:\"fff5ee\",sienna:\"a0522d\",silver:\"c0c0c0\",skyblue:\"87ceeb\",slateblue:\"6a5acd\",slategray:\"708090\",slategrey:\"708090\",snow:\"fffafa\",springgreen:\"00ff7f\",steelblue:\"4682b4\",tan:\"d2b48c\",teal:\"008080\",thistle:\"d8bfd8\",tomato:\"ff6347\",turquoise:\"40e0d0\",violet:\"ee82ee\",wheat:\"f5deb3\",white:\"fff\",whitesmoke:\"f5f5f5\",yellow:\"ff0\",yellowgreen:\"9acd32\"},E=c.hexNames=function(t){var e={};for(var r in t)t.hasOwnProperty(r)&&(e[t[r]]=r);return e}(S);function L(t){return t=parseFloat(t),(isNaN(t)||t<0||t>1)&&(t=1),t}function C(e,r){(function(t){return\"string\"==typeof t&&-1!=t.indexOf(\".\")&&1===parseFloat(t)})(e)&&(e=\"100%\");var n=function(t){return\"string\"==typeof t&&-1!=t.indexOf(\"%\")}(e);return e=o(r,s(0,parseFloat(e))),n&&(e=parseInt(e*r,10)/100),t.abs(e-r)<1e-6?1:e%r/parseFloat(r)}function P(t){return o(1,s(0,t))}function I(t){return parseInt(t,16)}function O(t){return 1==t.length?\"0\"+t:\"\"+t}function z(t){return t<=1&&(t=100*t+\"%\"),t}function D(e){return t.round(255*parseFloat(e)).toString(16)}function R(t){return I(t)/255}var F,B,N,j=(B=\"[\\\\s|\\\\(]+(\"+(F=\"(?:[-\\\\+]?\\\\d*\\\\.\\\\d+%?)|(?:[-\\\\+]?\\\\d+%?)\")+\")[,|\\\\s]+(\"+F+\")[,|\\\\s]+(\"+F+\")\\\\s*\\\\)?\",N=\"[\\\\s|\\\\(]+(\"+F+\")[,|\\\\s]+(\"+F+\")[,|\\\\s]+(\"+F+\")[,|\\\\s]+(\"+F+\")\\\\s*\\\\)?\",{CSS_UNIT:new RegExp(F),rgb:new RegExp(\"rgb\"+B),rgba:new RegExp(\"rgba\"+N),hsl:new RegExp(\"hsl\"+B),hsla:new RegExp(\"hsla\"+N),hsv:new RegExp(\"hsv\"+B),hsva:new RegExp(\"hsva\"+N),hex3:/^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,hex6:/^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/,hex4:/^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,hex8:/^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/});function U(t){return!!j.CSS_UNIT.exec(t)}void 0!==e&&e.exports?e.exports=c:window.tinycolor=c}(Math)},{}],595:[function(t,e,r){\"use strict\";e.exports=i,e.exports.float32=e.exports.float=i,e.exports.fract32=e.exports.fract=function(t){if(t.length){for(var e=i(t),r=0,n=e.length;r<n;r++)e[r]=t[r]-e[r];return e}return i(t-i(t))};var n=new Float32Array(1);function i(t){if(t.length){if(t instanceof Float32Array)return t;var e=new Float32Array(t);return e.set(t),e}return n[0]=t,n[0]}},{}],596:[function(t,e,r){\"use strict\";var n=t(\"parse-unit\");e.exports=a;function i(t,e){var r=n(getComputedStyle(t).getPropertyValue(e));return r[0]*a(r[1],t)}function a(t,e){switch(e=e||document.body,t=(t||\"px\").trim().toLowerCase(),e!==window&&e!==document||(e=document.body),t){case\"%\":return e.clientHeight/100;case\"ch\":case\"ex\":return function(t,e){var r=document.createElement(\"div\");r.style[\"font-size\"]=\"128\"+t,e.appendChild(r);var n=i(r,\"font-size\")/128;return e.removeChild(r),n}(t,e);case\"em\":return i(e,\"font-size\");case\"rem\":return i(document.body,\"font-size\");case\"vw\":return window.innerWidth/100;case\"vh\":return window.innerHeight/100;case\"vmin\":return Math.min(window.innerWidth,window.innerHeight)/100;case\"vmax\":return Math.max(window.innerWidth,window.innerHeight)/100;case\"in\":return 96;case\"cm\":return 96/2.54;case\"mm\":return 96/25.4;case\"pt\":return 96/72;case\"pc\":return 16}return 1}},{\"parse-unit\":490}],597:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?n(r):n((t=t||self).topojson=t.topojson||{})}(this,(function(t){\"use strict\";function e(t){return t}function r(t){if(null==t)return e;var r,n,i=t.scale[0],a=t.scale[1],o=t.translate[0],s=t.translate[1];return function(t,e){e||(r=n=0);var l=2,c=t.length,u=new Array(c);for(u[0]=(r+=t[0])*i+o,u[1]=(n+=t[1])*a+s;l<c;)u[l]=t[l],++l;return u}}function n(t){var e,n=r(t.transform),i=1/0,a=i,o=-i,s=-i;function l(t){(t=n(t))[0]<i&&(i=t[0]),t[0]>o&&(o=t[0]),t[1]<a&&(a=t[1]),t[1]>s&&(s=t[1])}function c(t){switch(t.type){case\"GeometryCollection\":t.geometries.forEach(c);break;case\"Point\":l(t.coordinates);break;case\"MultiPoint\":t.coordinates.forEach(l)}}for(e in t.arcs.forEach((function(t){for(var e,r=-1,l=t.length;++r<l;)(e=n(t[r],r))[0]<i&&(i=e[0]),e[0]>o&&(o=e[0]),e[1]<a&&(a=e[1]),e[1]>s&&(s=e[1])})),t.objects)c(t.objects[e]);return[i,a,o,s]}function i(t,e){var r=e.id,n=e.bbox,i=null==e.properties?{}:e.properties,o=a(t,e);return null==r&&null==n?{type:\"Feature\",properties:i,geometry:o}:null==n?{type:\"Feature\",id:r,properties:i,geometry:o}:{type:\"Feature\",id:r,bbox:n,properties:i,geometry:o}}function a(t,e){var n=r(t.transform),i=t.arcs;function a(t,e){e.length&&e.pop();for(var r=i[t<0?~t:t],a=0,o=r.length;a<o;++a)e.push(n(r[a],a));t<0&&function(t,e){for(var r,n=t.length,i=n-e;i<--n;)r=t[i],t[i++]=t[n],t[n]=r}(e,o)}function o(t){return n(t)}function s(t){for(var e=[],r=0,n=t.length;r<n;++r)a(t[r],e);return e.length<2&&e.push(e[0]),e}function l(t){for(var e=s(t);e.length<4;)e.push(e[0]);return e}function c(t){return t.map(l)}return function t(e){var r,n=e.type;switch(n){case\"GeometryCollection\":return{type:n,geometries:e.geometries.map(t)};case\"Point\":r=o(e.coordinates);break;case\"MultiPoint\":r=e.coordinates.map(o);break;case\"LineString\":r=s(e.arcs);break;case\"MultiLineString\":r=e.arcs.map(s);break;case\"Polygon\":r=c(e.arcs);break;case\"MultiPolygon\":r=e.arcs.map(c);break;default:return null}return{type:n,coordinates:r}}(e)}function o(t,e){var r={},n={},i={},a=[],o=-1;function s(t,e){for(var n in t){var i=t[n];delete e[i.start],delete i.start,delete i.end,i.forEach((function(t){r[t<0?~t:t]=1})),a.push(i)}}return e.forEach((function(r,n){var i,a=t.arcs[r<0?~r:r];a.length<3&&!a[1][0]&&!a[1][1]&&(i=e[++o],e[o]=r,e[n]=i)})),e.forEach((function(e){var r,a,o=function(e){var r,n=t.arcs[e<0?~e:e],i=n[0];t.transform?(r=[0,0],n.forEach((function(t){r[0]+=t[0],r[1]+=t[1]}))):r=n[n.length-1];return e<0?[r,i]:[i,r]}(e),s=o[0],l=o[1];if(r=i[s])if(delete i[r.end],r.push(e),r.end=l,a=n[l]){delete n[a.start];var c=a===r?r:r.concat(a);n[c.start=r.start]=i[c.end=a.end]=c}else n[r.start]=i[r.end]=r;else if(r=n[l])if(delete n[r.start],r.unshift(e),r.start=s,a=i[s]){delete i[a.end];var u=a===r?r:a.concat(r);n[u.start=a.start]=i[u.end=r.end]=u}else n[r.start]=i[r.end]=r;else n[(r=[e]).start=s]=i[r.end=l]=r})),s(i,n),s(n,i),e.forEach((function(t){r[t<0?~t:t]||a.push([t])})),a}function s(t,e,r){var n,i,a;if(arguments.length>1)n=l(t,e,r);else for(i=0,n=new Array(a=t.arcs.length);i<a;++i)n[i]=i;return{type:\"MultiLineString\",arcs:o(t,n)}}function l(t,e,r){var n,i=[],a=[];function o(t){var e=t<0?~t:t;(a[e]||(a[e]=[])).push({i:t,g:n})}function s(t){t.forEach(o)}function l(t){t.forEach(s)}return function t(e){switch(n=e,e.type){case\"GeometryCollection\":e.geometries.forEach(t);break;case\"LineString\":s(e.arcs);break;case\"MultiLineString\":case\"Polygon\":l(e.arcs);break;case\"MultiPolygon\":!function(t){t.forEach(l)}(e.arcs)}}(e),a.forEach(null==r?function(t){i.push(t[0].i)}:function(t){r(t[0].g,t[t.length-1].g)&&i.push(t[0].i)}),i}function c(t,e){var r={},n=[],i=[];function s(t){t.forEach((function(e){e.forEach((function(e){(r[e=e<0?~e:e]||(r[e]=[])).push(t)}))})),n.push(t)}function l(e){return function(t){for(var e,r=-1,n=t.length,i=t[n-1],a=0;++r<n;)e=i,i=t[r],a+=e[0]*i[1]-e[1]*i[0];return Math.abs(a)}(a(t,{type:\"Polygon\",arcs:[e]}).coordinates[0])}return e.forEach((function t(e){switch(e.type){case\"GeometryCollection\":e.geometries.forEach(t);break;case\"Polygon\":s(e.arcs);break;case\"MultiPolygon\":e.arcs.forEach(s)}})),n.forEach((function(t){if(!t._){var e=[],n=[t];for(t._=1,i.push(e);t=n.pop();)e.push(t),t.forEach((function(t){t.forEach((function(t){r[t<0?~t:t].forEach((function(t){t._||(t._=1,n.push(t))}))}))}))}})),n.forEach((function(t){delete t._})),{type:\"MultiPolygon\",arcs:i.map((function(e){var n,i=[];if(e.forEach((function(t){t.forEach((function(t){t.forEach((function(t){r[t<0?~t:t].length<2&&i.push(t)}))}))})),(n=(i=o(t,i)).length)>1)for(var a,s,c=1,u=l(i[0]);c<n;++c)(a=l(i[c]))>u&&(s=i[0],i[0]=i[c],i[c]=s,u=a);return i})).filter((function(t){return t.length>0}))}}function u(t,e){for(var r=0,n=t.length;r<n;){var i=r+n>>>1;t[i]<e?r=i+1:n=i}return r}function f(t){if(null==t)return e;var r,n,i=t.scale[0],a=t.scale[1],o=t.translate[0],s=t.translate[1];return function(t,e){e||(r=n=0);var l=2,c=t.length,u=new Array(c),f=Math.round((t[0]-o)/i),h=Math.round((t[1]-s)/a);for(u[0]=f-r,r=f,u[1]=h-n,n=h;l<c;)u[l]=t[l],++l;return u}}t.bbox=n,t.feature=function(t,e){return\"string\"==typeof e&&(e=t.objects[e]),\"GeometryCollection\"===e.type?{type:\"FeatureCollection\",features:e.geometries.map((function(e){return i(t,e)}))}:i(t,e)},t.merge=function(t){return a(t,c.apply(this,arguments))},t.mergeArcs=c,t.mesh=function(t){return a(t,s.apply(this,arguments))},t.meshArcs=s,t.neighbors=function(t){var e={},r=t.map((function(){return[]}));function n(t,r){t.forEach((function(t){t<0&&(t=~t);var n=e[t];n?n.push(r):e[t]=[r]}))}function i(t,e){t.forEach((function(t){n(t,e)}))}var a={LineString:n,MultiLineString:i,Polygon:i,MultiPolygon:function(t,e){t.forEach((function(t){i(t,e)}))}};for(var o in t.forEach((function t(e,r){\"GeometryCollection\"===e.type?e.geometries.forEach((function(e){t(e,r)})):e.type in a&&a[e.type](e.arcs,r)})),e)for(var s=e[o],l=s.length,c=0;c<l;++c)for(var f=c+1;f<l;++f){var h,p=s[c],d=s[f];(h=r[p])[o=u(h,d)]!==d&&h.splice(o,0,d),(h=r[d])[o=u(h,p)]!==p&&h.splice(o,0,p)}return r},t.quantize=function(t,e){if(t.transform)throw new Error(\"already quantized\");if(e&&e.scale)l=t.bbox;else{if(!((r=Math.floor(e))>=2))throw new Error(\"n must be \\u22652\");var r,i=(l=t.bbox||n(t))[0],a=l[1],o=l[2],s=l[3];e={scale:[o-i?(o-i)/(r-1):1,s-a?(s-a)/(r-1):1],translate:[i,a]}}var l,c,u=f(e),h=t.objects,p={};function d(t){return u(t)}function m(t){var e;switch(t.type){case\"GeometryCollection\":e={type:\"GeometryCollection\",geometries:t.geometries.map(m)};break;case\"Point\":e={type:\"Point\",coordinates:d(t.coordinates)};break;case\"MultiPoint\":e={type:\"MultiPoint\",coordinates:t.coordinates.map(d)};break;default:return t}return null!=t.id&&(e.id=t.id),null!=t.bbox&&(e.bbox=t.bbox),null!=t.properties&&(e.properties=t.properties),e}for(c in h)p[c]=m(h[c]);return{type:\"Topology\",bbox:l,transform:e,objects:p,arcs:t.arcs.map((function(t){var e,r=0,n=1,i=t.length,a=new Array(i);for(a[0]=u(t[0],0);++r<i;)((e=u(t[r],r))[0]||e[1])&&(a[n++]=e);return 1===n&&(a[n++]=[0,0]),a.length=n,a}))}},t.transform=r,t.untransform=f,Object.defineProperty(t,\"__esModule\",{value:!0})}))},{}],598:[function(t,e,r){\"use strict\";e.exports=function(t){if(t<0)return[];if(0===t)return[[0]];for(var e=0|Math.round(a(t+1)),r=[],o=0;o<e;++o){for(var s=n.unrank(t,o),l=[0],c=0,u=0;u<s.length;++u)c+=1<<s[u],l.push(c);i(s)<1&&(l[0]=c,l[t]=0),r.push(l)}return r};var n=t(\"permutation-rank\"),i=t(\"permutation-parity\"),a=t(\"gamma\")},{gamma:252,\"permutation-parity\":492,\"permutation-rank\":493}],599:[function(t,e,r){\"use strict\";e.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.up||[0,1,0],n=t.right||f(r),i=t.radius||1,a=t.theta||0,u=t.phi||0;if(e=[].slice.call(e,0,3),r=[].slice.call(r,0,3),s(r,r),n=[].slice.call(n,0,3),s(n,n),\"eye\"in t){var p=t.eye,d=[p[0]-e[0],p[1]-e[1],p[2]-e[2]];o(n,d,r),c(n[0],n[1],n[2])<1e-6?n=f(r):s(n,n),i=c(d[0],d[1],d[2]);var m=l(r,d)/i,g=l(n,d)/i;u=Math.acos(m),a=Math.acos(g)}return i=Math.log(i),new h(t.zoomMin,t.zoomMax,e,r,n,i,a,u)};var n=t(\"filtered-vector\"),i=t(\"gl-mat4/invert\"),a=t(\"gl-mat4/rotate\"),o=t(\"gl-vec3/cross\"),s=t(\"gl-vec3/normalize\"),l=t(\"gl-vec3/dot\");function c(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t){return Math.min(1,Math.max(-1,t))}function f(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,l=0;l<3;++l)a+=t[l]*t[l],o+=i[l]*t[l];for(l=0;l<3;++l)i[l]-=o/a*t[l];return s(i,i),i}function h(t,e,r,i,a,o,s,l){this.center=n(r),this.up=n(i),this.right=n(a),this.radius=n([o]),this.angle=n([s,l]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=h.prototype;p.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},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var 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,M=-v*x,A=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]+M*h[a]+A*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),M=f*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,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*M+C*A;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*M+D*A;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 q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,m=d[0],g=d[1],v=d[2],y=i*m+a*g+o*v,x=c(m-=y*i,g-=y*a,v-=y*o);if(!(x<.01&&(x=c(m=a*h-o*f,g=o*l-i*h,v=i*f-a*l))<1e-6)){m/=x,g/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,m,g,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,M=m*l+g*f+v*h,A=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":246,\"gl-mat4/invert\":295,\"gl-mat4/rotate\":301,\"gl-vec3/cross\":364,\"gl-vec3/dot\":369,\"gl-vec3/normalize\":386}],600:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],601:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],602:[function(t,e,r){\"use strict\";var n=t(\"../prototype/is\");e.exports=function(t){if(\"function\"!=typeof t)return!1;if(!hasOwnProperty.call(t,\"length\"))return!1;try{if(\"number\"!=typeof t.length)return!1;if(\"function\"!=typeof t.call)return!1;if(\"function\"!=typeof t.apply)return!1}catch(t){return!1}return!n(t)}},{\"../prototype/is\":609}],603:[function(t,e,r){\"use strict\";var n=t(\"../value/is\"),i=t(\"../object/is\"),a=t(\"../string/coerce\"),o=t(\"./to-short-string\"),s=function(t,e){return t.replace(\"%v\",o(e))};e.exports=function(t,e,r){if(!i(r))throw new TypeError(s(e,t));if(!n(t)){if(\"default\"in r)return r.default;if(r.isOptional)return null}var o=a(r.errorMessage);throw n(o)||(o=e),new TypeError(s(o,t))}},{\"../object/is\":606,\"../string/coerce\":610,\"../value/is\":612,\"./to-short-string\":605}],604:[function(t,e,r){\"use strict\";e.exports=function(t){try{return t.toString()}catch(e){try{return String(t)}catch(t){return null}}}},{}],605:[function(t,e,r){\"use strict\";var n=t(\"./safe-to-string\"),i=/[\\n\\r\\u2028\\u2029]/g;e.exports=function(t){var e=n(t);return null===e?\"<Non-coercible to string value>\":(e.length>100&&(e=e.slice(0,99)+\"\\u2026\"),e=e.replace(i,(function(t){switch(t){case\"\\n\":return\"\\\\n\";case\"\\r\":return\"\\\\r\";case\"\\u2028\":return\"\\\\u2028\";case\"\\u2029\":return\"\\\\u2029\";default:throw new Error(\"Unexpected character\")}})))}},{\"./safe-to-string\":604}],606:[function(t,e,r){\"use strict\";var n=t(\"../value/is\"),i={object:!0,function:!0,undefined:!0};e.exports=function(t){return!!n(t)&&hasOwnProperty.call(i,typeof t)}},{\"../value/is\":612}],607:[function(t,e,r){\"use strict\";var n=t(\"../lib/resolve-exception\"),i=t(\"./is\");e.exports=function(t){return i(t)?t:n(t,\"%v is not a plain function\",arguments[1])}},{\"../lib/resolve-exception\":603,\"./is\":608}],608:[function(t,e,r){\"use strict\";var n=t(\"../function/is\"),i=/^\\s*class[\\s{/}]/,a=Function.prototype.toString;e.exports=function(t){return!!n(t)&&!i.test(a.call(t))}},{\"../function/is\":602}],609:[function(t,e,r){\"use strict\";var n=t(\"../object/is\");e.exports=function(t){if(!n(t))return!1;try{return!!t.constructor&&t.constructor.prototype===t}catch(t){return!1}}},{\"../object/is\":606}],610:[function(t,e,r){\"use strict\";var n=t(\"../value/is\"),i=t(\"../object/is\"),a=Object.prototype.toString;e.exports=function(t){if(!n(t))return null;if(i(t)){var e=t.toString;if(\"function\"!=typeof e)return null;if(e===a)return null}try{return\"\"+t}catch(t){return null}}},{\"../object/is\":606,\"../value/is\":612}],611:[function(t,e,r){\"use strict\";var n=t(\"../lib/resolve-exception\"),i=t(\"./is\");e.exports=function(t){return i(t)?t:n(t,\"Cannot use %v\",arguments[1])}},{\"../lib/resolve-exception\":603,\"./is\":612}],612:[function(t,e,r){\"use strict\";e.exports=function(t){return null!=t}},{}],613:[function(t,e,r){(function(e){(function(){\"use strict\";var n=t(\"bit-twiddle\"),i=t(\"dup\"),a=t(\"buffer\").Buffer;e.__TYPEDARRAY_POOL||(e.__TYPEDARRAY_POOL={UINT8:i([32,0]),UINT16:i([32,0]),UINT32:i([32,0]),BIGUINT64:i([32,0]),INT8:i([32,0]),INT16:i([32,0]),INT32:i([32,0]),BIGINT64:i([32,0]),FLOAT:i([32,0]),DOUBLE:i([32,0]),DATA:i([32,0]),UINT8C:i([32,0]),BUFFER:i([32,0])});var o=\"undefined\"!=typeof Uint8ClampedArray,s=\"undefined\"!=typeof BigUint64Array,l=\"undefined\"!=typeof BigInt64Array,c=e.__TYPEDARRAY_POOL;c.UINT8C||(c.UINT8C=i([32,0])),c.BIGUINT64||(c.BIGUINT64=i([32,0])),c.BIGINT64||(c.BIGINT64=i([32,0])),c.BUFFER||(c.BUFFER=i([32,0]));var u=c.DATA,f=c.BUFFER;function h(t){if(t){var e=t.length||t.byteLength,r=n.log2(e);u[r].push(t)}}function p(t){t=n.nextPow2(t);var e=n.log2(t),r=u[e];return r.length>0?r.pop():new ArrayBuffer(t)}function d(t){return new Uint8Array(p(t),0,t)}function m(t){return new Uint16Array(p(2*t),0,t)}function g(t){return new Uint32Array(p(4*t),0,t)}function v(t){return new Int8Array(p(t),0,t)}function y(t){return new Int16Array(p(2*t),0,t)}function x(t){return new Int32Array(p(4*t),0,t)}function b(t){return new Float32Array(p(4*t),0,t)}function _(t){return new Float64Array(p(8*t),0,t)}function w(t){return o?new Uint8ClampedArray(p(t),0,t):d(t)}function T(t){return s?new BigUint64Array(p(8*t),0,t):null}function k(t){return l?new BigInt64Array(p(8*t),0,t):null}function M(t){return new DataView(p(t),0,t)}function A(t){t=n.nextPow2(t);var e=n.log2(t),r=f[e];return r.length>0?r.pop():new a(t)}r.free=function(t){if(a.isBuffer(t))f[n.log2(t.length)].push(t);else{if(\"[object ArrayBuffer]\"!==Object.prototype.toString.call(t)&&(t=t.buffer),!t)return;var e=t.length||t.byteLength,r=0|n.log2(e);u[r].push(t)}},r.freeUint8=r.freeUint16=r.freeUint32=r.freeBigUint64=r.freeInt8=r.freeInt16=r.freeInt32=r.freeBigInt64=r.freeFloat32=r.freeFloat=r.freeFloat64=r.freeDouble=r.freeUint8Clamped=r.freeDataView=function(t){h(t.buffer)},r.freeArrayBuffer=h,r.freeBuffer=function(t){f[n.log2(t.length)].push(t)},r.malloc=function(t,e){if(void 0===e||\"arraybuffer\"===e)return p(t);switch(e){case\"uint8\":return d(t);case\"uint16\":return m(t);case\"uint32\":return g(t);case\"int8\":return v(t);case\"int16\":return y(t);case\"int32\":return x(t);case\"float\":case\"float32\":return b(t);case\"double\":case\"float64\":return _(t);case\"uint8_clamped\":return w(t);case\"bigint64\":return k(t);case\"biguint64\":return T(t);case\"buffer\":return A(t);case\"data\":case\"dataview\":return M(t);default:return null}return null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=m,r.mallocUint32=g,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=M,r.mallocBuffer=A,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":104,buffer:117,dup:181}],614:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,\"length\",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],615:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],616:[function(t,e,r){var n=/[\\'\\\"]/;e.exports=function(t){return t?(n.test(t.charAt(0))&&(t=t.substr(1)),n.test(t.charAt(t.length-1))&&(t=t.substr(0,t.length-1)),t):\"\"}},{}],617:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){Array.isArray(r)||(r=[].slice.call(arguments,2));for(var n=0,i=r.length;n<i;n++){var a=r[n];for(var o in a)if((void 0===e[o]||Array.isArray(e[o])||t[o]!==e[o])&&o in e){var s;if(!0===a[o])s=e[o];else{if(!1===a[o])continue;if(\"function\"==typeof a[o]&&void 0===(s=a[o](e[o],t,e)))continue}t[o]=s}}return t}},{}],618:[function(t,e,r){(function(t){(function(){function r(e){try{if(!t.localStorage)return!1}catch(t){return!1}var r=t.localStorage[e];return null!=r&&\"true\"===String(r).toLowerCase()}e.exports=function(t,e){if(r(\"noDeprecation\"))return t;var n=!1;return function(){if(!n){if(r(\"throwDeprecation\"))throw new Error(e);r(\"traceDeprecation\")?console.trace(e):console.warn(e),n=!0}return t.apply(this,arguments)}}}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],619:[function(t,e,r){\"use strict\";e.exports=function(t,e){\"object\"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t(\"./lib/vtext\"),i=null,a=null;\"undefined\"!=typeof document&&((i=document.createElement(\"canvas\")).width=8192,i.height=1024,a=i.getContext(\"2d\"))},{\"./lib/vtext\":620}],620:[function(t,e,r){e.exports=function(t,e,r,n){var a=64,o=1.25,s={breaklines:!1,bolds:!1,italics:!1,subscripts:!1,superscripts:!1};n&&(n.size&&n.size>0&&(a=n.size),n.lineSpacing&&n.lineSpacing>0&&(o=n.lineSpacing),n.styletags&&n.styletags.breaklines&&(s.breaklines=!!n.styletags.breaklines),n.styletags&&n.styletags.bolds&&(s.bolds=!!n.styletags.bolds),n.styletags&&n.styletags.italics&&(s.italics=!!n.styletags.italics),n.styletags&&n.styletags.subscripts&&(s.subscripts=!!n.styletags.subscripts),n.styletags&&n.styletags.superscripts&&(s.superscripts=!!n.styletags.superscripts));return r.font=[n.fontStyle,n.fontVariant,n.fontWeight,a+\"px\",n.font].filter((function(t){return t})).join(\" \"),r.textAlign=\"start\",r.textBaseline=\"alphabetic\",r.direction=\"ltr\",h(function(t,e,r,n,a,o){r=r.replace(/\\n/g,\"\"),r=!0===o.breaklines?r.replace(/\\<br\\>/g,\"\\n\"):r.replace(/\\<br\\>/g,\" \");var s=\"\",l=[];for(p=0;p<r.length;++p)l[p]=s;!0===o.bolds&&(l=c(\"b\",\"b|\",r,l));!0===o.italics&&(l=c(\"i\",\"i|\",r,l));!0===o.superscripts&&(l=c(\"sup\",\"+1\",r,l));!0===o.subscripts&&(l=c(\"sub\",\"-1\",r,l));var u=[],f=\"\";for(p=0;p<r.length;++p)null!==l[p]&&(f+=r[p],u.push(l[p]));var h,p,d,m,g,v=f.split(\"\\n\"),y=v.length,x=Math.round(a*n),b=n,_=2*n,w=0,T=y*x+_;t.height<T&&(t.height=T);e.fillStyle=\"#000\",e.fillRect(0,0,t.width,t.height),e.fillStyle=\"#fff\";var k=0,M=\"\";function A(){if(\"\"!==M){var t=e.measureText(M).width;e.fillText(M,b+d,_+m),d+=t}}function S(){return Math.round(g)+\"px \"}function E(t,r){var n=\"\"+e.font;if(!0===o.subscripts){var i=t.indexOf(\"-\"),a=r.indexOf(\"-\"),s=i>-1?parseInt(t[1+i]):0,l=a>-1?parseInt(r[1+a]):0;s!==l&&(n=n.replace(S(),\"?px \"),g*=Math.pow(.75,l-s),n=n.replace(\"?px \",S())),m+=.25*x*(l-s)}if(!0===o.superscripts){var c=t.indexOf(\"+\"),u=r.indexOf(\"+\"),f=c>-1?parseInt(t[1+c]):0,h=u>-1?parseInt(r[1+u]):0;f!==h&&(n=n.replace(S(),\"?px \"),g*=Math.pow(.75,h-f),n=n.replace(\"?px \",S())),m-=.25*x*(h-f)}if(!0===o.bolds){var p=t.indexOf(\"b|\")>-1,d=r.indexOf(\"b|\")>-1;!p&&d&&(n=v?n.replace(\"italic \",\"italic bold \"):\"bold \"+n),p&&!d&&(n=n.replace(\"bold \",\"\"))}if(!0===o.italics){var v=t.indexOf(\"i|\")>-1,y=r.indexOf(\"i|\")>-1;!v&&y&&(n=\"italic \"+n),v&&!y&&(n=n.replace(\"italic \",\"\"))}e.font=n}for(h=0;h<y;++h){var L=v[h]+\"\\n\";for(d=0,m=h*x,g=n,M=\"\",p=0;p<L.length;++p){var C=p+k<u.length?u[p+k]:u[u.length-1];s===C?M+=L[p]:(A(),M=L[p],void 0!==C&&(E(s,C),s=C))}A(),k+=L.length;var P=0|Math.round(d+2*b);w<P&&(w=P)}var I=w,O=_+x*y;return i(e.getImageData(0,0,I,O).data,[O,I,4]).pick(-1,-1,0).transpose(1,0)}(e,r,t,a,o,s),n,a)},e.exports.processPixels=h;var n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var f=0;switch(n){case\"center\":f=-.5*(a[0]+o[0]);break;case\"right\":case\"end\":f=-o[0];break;case\"left\":case\"start\":f=-a[0];break;default:throw new Error(\"vectorize-text: Unrecognized textAlign: '\"+n+\"'\")}var h=0;switch(i){case\"hanging\":case\"top\":h=-a[1];break;case\"middle\":h=-.5*(a[1]+o[1]);break;case\"alphabetic\":case\"ideographic\":h=-3*r;break;case\"bottom\":h=-o[1];break;default:throw new Error(\"vectorize-text: Unrecoginized textBaseline: '\"+i+\"'\")}var p=1/r;return\"lineHeight\"in e?p*=+e.lineHeight:\"width\"in e?p=e.width/(o[0]-a[0]):\"height\"in e&&(p=e.height/(o[1]-a[1])),t.map((function(t){return[p*(t[0]+f),p*(t[1]+h)]}))}(i.positions,e,r),c=i.edges,f=\"ccw\"===e.orientation;if(o(a,c),e.polygons||e.polygon||e.polyline){for(var h=l(c,a),p=new Array(h.length),d=0;d<h.length;++d){for(var m=h[d],g=new Array(m.length),v=0;v<m.length;++v){for(var y=m[v],x=new Array(y.length),b=0;b<y.length;++b)x[b]=a[y[b]].slice();f&&x.reverse(),g[v]=x}p[d]=g}return p}return e.triangles||e.triangulate||e.triangle?{cells:s(a,c,{delaunay:!1,exterior:!1,interior:!0}),positions:a}:{edges:c,positions:a}}function h(t,e,r){try{return f(t,e,r,!0)}catch(t){}try{return f(t,e,r,!1)}catch(t){}return e.polygons||e.polyline||e.polygon?[]:e.triangles||e.triangulate||e.triangle?{cells:[],positions:[]}:{edges:[],positions:[]}}},{cdt2d:118,\"clean-pslg\":127,ndarray:479,\"planar-graph-to-polyline\":497,\"simplify-planar-graph\":559,\"surface-nets\":587}],621:[function(t,e,r){!function(){\"use strict\";if(\"undefined\"==typeof ses||!ses.ok||ses.ok()){\"undefined\"!=typeof ses&&(ses.weakMapPermitHostObjects=m);var t=!1;if(\"function\"==typeof WeakMap){var r=WeakMap;if(\"undefined\"!=typeof navigator&&/Firefox/.test(navigator.userAgent));else{var n=new r,i=Object.freeze({});if(n.set(i,1),1===n.get(i))return void(e.exports=WeakMap);t=!0}}Object.prototype.hasOwnProperty;var a=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return a(t).filter(g)}}),\"getPropertyNames\"in Object){var f=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return f(t).filter(g)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var h=!1,p=0,d=function(){this instanceof d||x();var t=[],e=[],r=p++;return Object.create(d.prototype,{get___:{value:y((function(n,i){var a,o=v(n);return o?r in o?o[r]:i:(a=t.indexOf(n))>=0?e[a]:i}))},has___:{value:y((function(e){var n=v(e);return n?r in n:t.indexOf(e)>=0}))},set___:{value:y((function(n,i){var a,o=v(n);return o?o[r]=i:(a=t.indexOf(n))>=0?e[a]=i:(a=t.length,e[a]=i,t[a]=n),this}))},delete___:{value:y((function(n){var i,a,o=v(n);return o?r in o&&delete o[r]:!((i=t.indexOf(n))<0)&&(a=t.length-1,t[i]=void 0,e[i]=e[a],t[i]=t[a],t.length=a,e.length=a,!0)}))}})};d.prototype=Object.create(Object.prototype,{get:{value:function(t,e){return this.get___(t,e)},writable:!0,configurable:!0},has:{value:function(t){return this.has___(t)},writable:!0,configurable:!0},set:{value:function(t,e){return this.set___(t,e)},writable:!0,configurable:!0},delete:{value:function(t){return this.delete___(t)},writable:!0,configurable:!0}}),\"function\"==typeof r?function(){function n(){this instanceof d||x();var e,n=new r,i=void 0,a=!1;return e=t?function(t,e){return n.set(t,e),n.has(t)||(i||(i=new d),i.set(t,e)),this}:function(t,e){if(a)try{n.set(t,e)}catch(r){i||(i=new d),i.set___(t,e)}else n.set(t,e);return this},Object.create(d.prototype,{get___:{value:y((function(t,e){return i?n.has(t)?n.get(t):i.get___(t,e):n.get(t,e)}))},has___:{value:y((function(t){return n.has(t)||!!i&&i.has___(t)}))},set___:{value:y(e)},delete___:{value:y((function(t){var e=!!n.delete(t);return i&&i.delete___(t)||e}))},permitHostObjects___:{value:y((function(t){if(t!==m)throw new Error(\"bogus call to permitHostObjects___\");a=!0}))}})}t&&\"undefined\"!=typeof Proxy&&(Proxy=void 0),n.prototype=d.prototype,e.exports=n,Object.defineProperty(WeakMap.prototype,\"constructor\",{value:WeakMap,enumerable:!1,configurable:!0,writable:!0})}():(\"undefined\"!=typeof Proxy&&(Proxy=void 0),e.exports=d)}function m(t){t.permitHostObjects___&&t.permitHostObjects___(m)}function g(t){return!(\"weakmap:\"==t.substr(0,\"weakmap:\".length)&&\"___\"===t.substr(t.length-3))}function v(t){if(t!==Object(t))throw new TypeError(\"Not an object: \"+t);var e=t[l];if(e&&e.key===t)return e;if(s(t)){e={key:t};try{return o(t,l,{value:e,writable:!1,enumerable:!1,configurable:!1}),e}catch(t){return}}}function y(t){return t.prototype=null,Object.freeze(t)}function x(){h||\"undefined\"==typeof console||(h=!0,console.warn(\"WeakMap should be invoked as new WeakMap(), not WeakMap(). This will be an error in the future.\"))}}()},{}],622:[function(t,e,r){var n=t(\"./hidden-store.js\");e.exports=function(){var t={};return function(e){if((\"object\"!=typeof e||null===e)&&\"function\"!=typeof e)throw new Error(\"Weakmap-shim: Key must be object\");var r=e.valueOf(t);return r&&r.identity===t?r:n(e,t)}}},{\"./hidden-store.js\":623}],623:[function(t,e,r){e.exports=function(t,e){var r={identity:e},n=t.valueOf;return Object.defineProperty(t,\"valueOf\",{value:function(t){return t!==e?n.apply(this,arguments):r},writable:!0}),r}},{}],624:[function(t,e,r){var n=t(\"./create-store.js\");e.exports=function(){var t=n();return{get:function(e,r){var n=t(e);return n.hasOwnProperty(\"value\")?n.value:r},set:function(e,r){return t(e).value=r,this},has:function(e){return\"value\"in t(e)},delete:function(e){return delete t(e).value}}}},{\"./create-store.js\":622}],625:[function(t,e,r){var n=t(\"get-canvas-context\");e.exports=function(t){return n(\"webgl\",t)}},{\"get-canvas-context\":253}],626:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Chinese\",jdEpoch:1721425.5,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{\"\":{name:\"Chinese\",epochs:[\"BEC\",\"EC\"],monthNumbers:function(t,e){if(\"string\"==typeof t){var r=t.match(l);return r?r[0]:\"\"}var n=this._validateYear(t),i=t.month(),a=\"\"+this.toChineseMonth(n,i);return e&&a.length<2&&(a=\"0\"+a),this.isIntercalaryMonth(n,i)&&(a+=\"i\"),a},monthNames:function(t){if(\"string\"==typeof t){var e=t.match(c);return e?e[0]:\"\"}var r=this._validateYear(t),n=t.month(),i=[\"\\u4e00\\u6708\",\"\\u4e8c\\u6708\",\"\\u4e09\\u6708\",\"\\u56db\\u6708\",\"\\u4e94\\u6708\",\"\\u516d\\u6708\",\"\\u4e03\\u6708\",\"\\u516b\\u6708\",\"\\u4e5d\\u6708\",\"\\u5341\\u6708\",\"\\u5341\\u4e00\\u6708\",\"\\u5341\\u4e8c\\u6708\"][this.toChineseMonth(r,n)-1];return this.isIntercalaryMonth(r,n)&&(i=\"\\u95f0\"+i),i},monthNamesShort:function(t){if(\"string\"==typeof t){var e=t.match(u);return e?e[0]:\"\"}var r=this._validateYear(t),n=t.month(),i=[\"\\u4e00\",\"\\u4e8c\",\"\\u4e09\",\"\\u56db\",\"\\u4e94\",\"\\u516d\",\"\\u4e03\",\"\\u516b\",\"\\u4e5d\",\"\\u5341\",\"\\u5341\\u4e00\",\"\\u5341\\u4e8c\"][this.toChineseMonth(r,n)-1];return this.isIntercalaryMonth(r,n)&&(i=\"\\u95f0\"+i),i},parseMonth:function(t,e){t=this._validateYear(t);var r,n=parseInt(e);if(isNaN(n))\"\\u95f0\"===e[0]&&(r=!0,e=e.substring(1)),\"\\u6708\"===e[e.length-1]&&(e=e.substring(0,e.length-1)),n=1+[\"\\u4e00\",\"\\u4e8c\",\"\\u4e09\",\"\\u56db\",\"\\u4e94\",\"\\u516d\",\"\\u4e03\",\"\\u516b\",\"\\u4e5d\",\"\\u5341\",\"\\u5341\\u4e00\",\"\\u5341\\u4e8c\"].indexOf(e);else{var i=e[e.length-1];r=\"i\"===i||\"I\"===i}return this.toMonthIndex(t,n,r)},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:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(t,e){if(t.year&&(t=t.year()),\"number\"!=typeof t||t<1888||t>2111)throw e.replace(/\\{0\\}/,this.local.name);return t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),f[t-f[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=h[o-h[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var f=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(f/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=f[t-f[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a=i||{}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=f[o.year-f[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++){s+=u&1<<12-d?30:29}var m=h[o.year-h[0]],g=new Date(m>>9&4095,(m>>5&15)-1,(31&m)+s);return a.year=g.getFullYear(),a.month=1+g.getMonth(),a.day=g.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a=n||{}}var o=h[i.year-h[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=h[a.year-h[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=f[a.year-f[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l<m)break;l-=m}var g=d>>13;!g||p<g?(a.isIntercalary=!1,a.month=1+p):p===g?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p);return a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if(\"y\"===r){var c=l.year(),u=l.month(),f=this.isIntercalaryMonth(c,s),h=a&&f?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);h!==u&&l.month(h)}return l}});var s=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,l=/^\\d?\\d[iI]?/m,c=/^\\u95f0?\\u5341?[\\u4e00\\u4e8c\\u4e09\\u56db\\u4e94\\u516d\\u4e03\\u516b\\u4e5d]?\\u6708/m,u=/^\\u95f0?\\u5341?[\\u4e00\\u4e8c\\u4e09\\u56db\\u4e94\\u516d\\u4e03\\u516b\\u4e5d]?/m;n.calendars.chinese=o;var f=[1887,5780,5802,19157,2742,50359,1198,2646,46378,7466,3412,30122,5482,67949,2396,5294,43597,6732,6954,36181,2772,4954,18781,2396,54427,5274,6730,47781,5800,6868,21210,4790,59703,2350,5270,46667,3402,3496,38325,1388,4782,18735,2350,52374,6804,7498,44457,2906,1388,29294,4700,63789,6442,6804,56138,5802,2772,38235,1210,4698,22827,5418,63125,3476,5802,43701,2484,5302,27223,2646,70954,7466,3412,54698,5482,2412,38062,5294,2636,32038,6954,60245,2772,4826,43357,2394,5274,39501,6730,72357,5800,5844,53978,4790,2358,38039,5270,87627,3402,3496,54708,5484,4782,43311,2350,3222,27978,7498,68965,2904,5484,45677,4700,6444,39573,6804,6986,19285,2772,62811,1210,4698,47403,5418,5780,38570,5546,76469,2420,5302,51799,2646,5414,36501,3412,5546,18869,2412,54446,5276,6732,48422,6822,2900,28010,4826,92509,2394,5274,55883,6730,6820,47956,5812,2778,18779,2358,62615,5270,5450,46757,3492,5556,27318,4718,67887,2350,3222,52554,7498,3428,38252,5468,4700,31022,6444,64149,6804,6986,43861,2772,5338,35421,2650,70955,5418,5780,54954,5546,2740,38074,5302,2646,29991,3366,61011,3412,5546,43445,2412,5294,35406,6732,72998,6820,6996,52586,2778,2396,38045,5274,6698,23333,6820,64338,5812,2746,43355,2358,5270,39499,5450,79525,3492,5548],h=[1887,966732,967231,967733,968265,968766,969297,969798,970298,970829,971330,971830,972362,972863,973395,973896,974397,974928,975428,975929,976461,976962,977462,977994,978494,979026,979526,980026,980558,981059,981559,982091,982593,983124,983624,984124,984656,985157,985656,986189,986690,987191,987722,988222,988753,989254,989754,990286,990788,991288,991819,992319,992851,993352,993851,994383,994885,995385,995917,996418,996918,997450,997949,998481,998982,999483,1000014,1000515,1001016,1001548,1002047,1002578,1003080,1003580,1004111,1004613,1005113,1005645,1006146,1006645,1007177,1007678,1008209,1008710,1009211,1009743,1010243,1010743,1011275,1011775,1012306,1012807,1013308,1013840,1014341,1014841,1015373,1015874,1016404,1016905,1017405,1017937,1018438,1018939,1019471,1019972,1020471,1021002,1021503,1022035,1022535,1023036,1023568,1024069,1024568,1025100,1025601,1026102,1026633,1027133,1027666,1028167,1028666,1029198,1029699,1030199,1030730,1031231,1031763,1032264,1032764,1033296,1033797,1034297,1034828,1035329,1035830,1036362,1036861,1037393,1037894,1038394,1038925,1039427,1039927,1040459,1040959,1041491,1041992,1042492,1043023,1043524,1044024,1044556,1045057,1045558,1046090,1046590,1047121,1047622,1048122,1048654,1049154,1049655,1050187,1050689,1051219,1051720,1052220,1052751,1053252,1053752,1054284,1054786,1055285,1055817,1056317,1056849,1057349,1057850,1058382,1058883,1059383,1059915,1060415,1060947,1061447,1061947,1062479,1062981,1063480,1064012,1064514,1065014,1065545,1066045,1066577,1067078,1067578,1068110,1068611,1069112,1069642,1070142,1070674,1071175,1071675,1072207,1072709,1073209,1073740,1074241,1074741,1075273,1075773,1076305,1076807,1077308,1077839,1078340,1078840,1079372,1079871,1080403,1080904]},{\"../main\":640,\"object-assign\":483}],627:[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:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],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);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 this.newDate(r,n,i)}}),n.calendars.coptic=a},{\"../main\":640,\"object-assign\":483}],628:[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:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var 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\":640,\"object-assign\":483}],629:[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:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],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);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 this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{\"../main\":640,\"object-assign\":483}],630:[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)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],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);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},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 t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var 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\":640,\"object-assign\":483}],631:[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\":640,\"object-assign\":483}],632:[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\":640,\"object-assign\":483}],633:[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\":640,\"object-assign\":483}],634:[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\":640,\"object-assign\":483}],635:[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 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,30,30],2077:[17,31,32,31,32,31,30,30,30,29,30,29,31],2078:[17,31,31,31,32,31,31,30,29,30,29,30,30],2079:[17,31,31,32,31,31,31,30,29,30,29,30,30],2080:[16,31,32,31,32,31,30,30,30,29,29,30,30],2081:[17,31,31,32,32,31,30,30,30,29,30,30,30],2082:[17,31,32,31,32,31,30,30,30,29,30,30,30],2083:[17,31,31,32,31,31,30,30,30,29,30,30,30],2084:[17,31,31,32,31,31,30,30,30,29,30,30,30],2085:[17,31,32,31,32,31,31,30,30,29,30,30,30],2086:[17,31,32,31,32,31,30,30,30,29,30,30,30],2087:[16,31,31,32,31,31,31,30,30,29,30,30,30],2088:[16,30,31,32,32,30,31,30,30,29,30,30,30],2089:[17,31,32,31,32,31,30,30,30,29,30,30,30],2090:[17,31,32,31,32,31,30,30,30,29,30,30,30],2091:[16,31,31,32,31,31,31,30,30,29,30,30,30],2092:[16,31,31,32,32,31,30,30,30,29,30,30,30],2093:[17,31,32,31,32,31,30,30,30,29,30,30,30],2094:[17,31,31,32,31,31,30,30,30,29,30,30,30],2095:[17,31,31,32,31,31,31,30,29,30,30,30,30],2096:[17,30,31,32,32,31,30,30,29,30,29,30,30],2097:[17,31,32,31,32,31,30,30,30,29,30,30,30],2098:[17,31,31,32,31,31,31,29,30,29,30,30,31],2099:[17,31,31,32,31,31,31,30,29,29,30,30,30],2100:[17,31,32,31,32,30,31,30,29,30,29,30,30]}}),n.calendars.nepali=a},{\"../main\":640,\"object-assign\":483}],636:[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)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var 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 c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":640,\"object-assign\":483}],637:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],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:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var 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>=-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\":640,\"object-assign\":483}],638:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],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:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var 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\":640,\"object-assign\":483}],639:[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 o=[20,50,79,109,138,168,197,227,256,286,315,345,374,404,433,463,492,522,551,581,611,641,670,700,729,759,788,818,847,877,906,936,965,995,1024,1054,1083,1113,1142,1172,1201,1231,1260,1290,1320,1350,1379,1409,1438,1468,1497,1527,1556,1586,1615,1645,1674,1704,1733,1763,1792,1822,1851,1881,1910,1940,1969,1999,2028,2058,2087,2117,2146,2176,2205,2235,2264,2294,2323,2353,2383,2413,2442,2472,2501,2531,2560,2590,2619,2649,2678,2708,2737,2767,2796,2826,2855,2885,2914,2944,2973,3003,3032,3062,3091,3121,3150,3180,3209,3239,3268,3298,3327,3357,3386,3416,3446,3476,3505,3535,3564,3594,3623,3653,3682,3712,3741,3771,3800,3830,3859,3889,3918,3948,3977,4007,4036,4066,4095,4125,4155,4185,4214,4244,4273,4303,4332,4362,4391,4421,4450,4480,4509,4539,4568,4598,4627,4657,4686,4716,4745,4775,4804,4834,4863,4893,4922,4952,4981,5011,5040,5070,5099,5129,5158,5188,5218,5248,5277,5307,5336,5366,5395,5425,5454,5484,5513,5543,5572,5602,5631,5661,5690,5720,5749,5779,5808,5838,5867,5897,5926,5956,5985,6015,6044,6074,6103,6133,6162,6192,6221,6251,6281,6311,6340,6370,6399,6429,6458,6488,6517,6547,6576,6606,6635,6665,6694,6724,6753,6783,6812,6842,6871,6901,6930,6960,6989,7019,7048,7078,7107,7137,7166,7196,7225,7255,7284,7314,7344,7374,7403,7433,7462,7492,7521,7551,7580,7610,7639,7669,7698,7728,7757,7787,7816,7846,7875,7905,7934,7964,7993,8023,8053,8083,8112,8142,8171,8201,8230,8260,8289,8319,8348,8378,8407,8437,8466,8496,8525,8555,8584,8614,8643,8673,8702,8732,8761,8791,8821,8850,8880,8909,8938,8968,8997,9027,9056,9086,9115,9145,9175,9205,9234,9264,9293,9322,9352,9381,9410,9440,9470,9499,9529,9559,9589,9618,9648,9677,9706,9736,9765,9794,9824,9853,9883,9913,9943,9972,10002,10032,10061,10090,10120,10149,10178,10208,10237,10267,10297,10326,10356,10386,10415,10445,10474,10504,10533,10562,10592,10621,10651,10680,10710,10740,10770,10799,10829,10858,10888,10917,10947,10976,11005,11035,11064,11094,11124,11153,11183,11213,11242,11272,11301,11331,11360,11389,11419,11448,11478,11507,11537,11567,11596,11626,11655,11685,11715,11744,11774,11803,11832,11862,11891,11921,11950,11980,12010,12039,12069,12099,12128,12158,12187,12216,12246,12275,12304,12334,12364,12393,12423,12453,12483,12512,12542,12571,12600,12630,12659,12688,12718,12747,12777,12807,12837,12866,12896,12926,12955,12984,13014,13043,13072,13102,13131,13161,13191,13220,13250,13280,13310,13339,13368,13398,13427,13456,13486,13515,13545,13574,13604,13634,13664,13693,13723,13752,13782,13811,13840,13870,13899,13929,13958,13988,14018,14047,14077,14107,14136,14166,14195,14224,14254,14283,14313,14342,14372,14401,14431,14461,14490,14520,14550,14579,14609,14638,14667,14697,14726,14756,14785,14815,14844,14874,14904,14933,14963,14993,15021,15051,15081,15110,15140,15169,15199,15228,15258,15287,15317,15347,15377,15406,15436,15465,15494,15524,15553,15582,15612,15641,15671,15701,15731,15760,15790,15820,15849,15878,15908,15937,15966,15996,16025,16055,16085,16114,16144,16174,16204,16233,16262,16292,16321,16350,16380,16409,16439,16468,16498,16528,16558,16587,16617,16646,16676,16705,16734,16764,16793,16823,16852,16882,16912,16941,16971,17001,17030,17060,17089,17118,17148,17177,17207,17236,17266,17295,17325,17355,17384,17414,17444,17473,17502,17532,17561,17591,17620,17650,17679,17709,17738,17768,17798,17827,17857,17886,17916,17945,17975,18004,18034,18063,18093,18122,18152,18181,18211,18241,18270,18300,18330,18359,18388,18418,18447,18476,18506,18535,18565,18595,18625,18654,18684,18714,18743,18772,18802,18831,18860,18890,18919,18949,18979,19008,19038,19068,19098,19127,19156,19186,19215,19244,19274,19303,19333,19362,19392,19422,19452,19481,19511,19540,19570,19599,19628,19658,19687,19717,19746,19776,19806,19836,19865,19895,19924,19954,19983,20012,20042,20071,20101,20130,20160,20190,20219,20249,20279,20308,20338,20367,20396,20426,20455,20485,20514,20544,20573,20603,20633,20662,20692,20721,20751,20780,20810,20839,20869,20898,20928,20957,20987,21016,21046,21076,21105,21135,21164,21194,21223,21253,21282,21312,21341,21371,21400,21430,21459,21489,21519,21548,21578,21607,21637,21666,21696,21725,21754,21784,21813,21843,21873,21902,21932,21962,21991,22021,22050,22080,22109,22138,22168,22197,22227,22256,22286,22316,22346,22375,22405,22434,22464,22493,22522,22552,22581,22611,22640,22670,22700,22730,22759,22789,22818,22848,22877,22906,22936,22965,22994,23024,23054,23083,23113,23143,23173,23202,23232,23261,23290,23320,23349,23379,23408,23438,23467,23497,23527,23556,23586,23616,23645,23674,23704,23733,23763,23792,23822,23851,23881,23910,23940,23970,23999,24029,24058,24088,24117,24147,24176,24206,24235,24265,24294,24324,24353,24383,24413,24442,24472,24501,24531,24560,24590,24619,24648,24678,24707,24737,24767,24796,24826,24856,24885,24915,24944,24974,25003,25032,25062,25091,25121,25150,25180,25210,25240,25269,25299,25328,25358,25387,25416,25446,25475,25505,25534,25564,25594,25624,25653,25683,25712,25742,25771,25800,25830,25859,25888,25918,25948,25977,26007,26037,26067,26096,26126,26155,26184,26214,26243,26272,26302,26332,26361,26391,26421,26451,26480,26510,26539,26568,26598,26627,26656,26686,26715,26745,26775,26805,26834,26864,26893,26923,26952,26982,27011,27041,27070,27099,27129,27159,27188,27218,27248,27277,27307,27336,27366,27395,27425,27454,27484,27513,27542,27572,27602,27631,27661,27691,27720,27750,27779,27809,27838,27868,27897,27926,27956,27985,28015,28045,28074,28104,28134,28163,28193,28222,28252,28281,28310,28340,28369,28399,28428,28458,28488,28517,28547,28577,28607,28636,28665,28695,28724,28754,28783,28813,28843,28872,28901,28931,28960,28990,29019,29049,29078,29108,29137,29167,29196,29226,29255,29285,29315,29345,29375,29404,29434,29463,29492,29522,29551,29580,29610,29640,29669,29699,29729,29759,29788,29818,29847,29876,29906,29935,29964,29994,30023,30053,30082,30112,30141,30171,30200,30230,30259,30289,30318,30348,30378,30408,30437,30467,30496,30526,30555,30585,30614,30644,30673,30703,30732,30762,30791,30821,30850,30880,30909,30939,30968,30998,31027,31057,31086,31116,31145,31175,31204,31234,31263,31293,31322,31352,31381,31411,31441,31471,31500,31530,31559,31589,31618,31648,31676,31706,31736,31766,31795,31825,31854,31884,31913,31943,31972,32002,32031,32061,32090,32120,32150,32180,32209,32239,32268,32298,32327,32357,32386,32416,32445,32475,32504,32534,32563,32593,32622,32652,32681,32711,32740,32770,32799,32829,32858,32888,32917,32947,32976,33006,33035,33065,33094,33124,33153,33183,33213,33243,33272,33302,33331,33361,33390,33420,33450,33479,33509,33539,33568,33598,33627,33657,33686,33716,33745,33775,33804,33834,33863,33893,33922,33952,33981,34011,34040,34069,34099,34128,34158,34187,34217,34247,34277,34306,34336,34365,34395,34424,34454,34483,34512,34542,34571,34601,34631,34660,34690,34719,34749,34778,34808,34837,34867,34896,34926,34955,34985,35015,35044,35074,35103,35133,35162,35192,35222,35251,35280,35310,35340,35370,35399,35429,35458,35488,35517,35547,35576,35605,35635,35665,35694,35723,35753,35782,35811,35841,35871,35901,35930,35960,35989,36019,36048,36078,36107,36136,36166,36195,36225,36254,36284,36314,36343,36373,36403,36433,36462,36492,36521,36551,36580,36610,36639,36669,36698,36728,36757,36786,36816,36845,36875,36904,36934,36963,36993,37022,37052,37081,37111,37141,37170,37200,37229,37259,37288,37318,37347,37377,37406,37436,37465,37495,37524,37554,37584,37613,37643,37672,37701,37731,37760,37790,37819,37849,37878,37908,37938,37967,37997,38027,38056,38085,38115,38144,38174,38203,38233,38262,38292,38322,38351,38381,38410,38440,38469,38499,38528,38558,38587,38617,38646,38676,38705,38735,38764,38794,38823,38853,38882,38912,38941,38971,39001,39030,39059,39089,39118,39148,39178,39208,39237,39267,39297,39326,39355,39385,39414,39444,39473,39503,39532,39562,39592,39621,39650,39680,39709,39739,39768,39798,39827,39857,39886,39916,39946,39975,40005,40035,40064,40094,40123,40153,40182,40212,40241,40271,40300,40330,40359,40389,40418,40448,40477,40507,40536,40566,40595,40625,40655,40685,40714,40744,40773,40803,40832,40862,40892,40921,40951,40980,41009,41039,41068,41098,41127,41157,41186,41216,41245,41275,41304,41334,41364,41393,41422,41452,41481,41511,41540,41570,41599,41629,41658,41688,41718,41748,41777,41807,41836,41865,41894,41924,41953,41983,42012,42042,42072,42102,42131,42161,42190,42220,42249,42279,42308,42337,42367,42397,42426,42456,42485,42515,42545,42574,42604,42633,42662,42692,42721,42751,42780,42810,42839,42869,42899,42929,42958,42988,43017,43046,43076,43105,43135,43164,43194,43223,43253,43283,43312,43342,43371,43401,43430,43460,43489,43519,43548,43578,43607,43637,43666,43696,43726,43755,43785,43814,43844,43873,43903,43932,43962,43991,44021,44050,44080,44109,44139,44169,44198,44228,44258,44287,44317,44346,44375,44405,44434,44464,44493,44523,44553,44582,44612,44641,44671,44700,44730,44759,44788,44818,44847,44877,44906,44936,44966,44996,45025,45055,45084,45114,45143,45172,45202,45231,45261,45290,45320,45350,45380,45409,45439,45468,45498,45527,45556,45586,45615,45644,45674,45704,45733,45763,45793,45823,45852,45882,45911,45940,45970,45999,46028,46058,46088,46117,46147,46177,46206,46236,46265,46295,46324,46354,46383,46413,46442,46472,46501,46531,46560,46590,46620,46649,46679,46708,46738,46767,46797,46826,46856,46885,46915,46944,46974,47003,47033,47063,47092,47122,47151,47181,47210,47240,47269,47298,47328,47357,47387,47417,47446,47476,47506,47535,47565,47594,47624,47653,47682,47712,47741,47771,47800,47830,47860,47890,47919,47949,47978,48008,48037,48066,48096,48125,48155,48184,48214,48244,48273,48303,48333,48362,48392,48421,48450,48480,48509,48538,48568,48598,48627,48657,48687,48717,48746,48776,48805,48834,48864,48893,48922,48952,48982,49011,49041,49071,49100,49130,49160,49189,49218,49248,49277,49306,49336,49365,49395,49425,49455,49484,49514,49543,49573,49602,49632,49661,49690,49720,49749,49779,49809,49838,49868,49898,49927,49957,49986,50016,50045,50075,50104,50133,50163,50192,50222,50252,50281,50311,50340,50370,50400,50429,50459,50488,50518,50547,50576,50606,50635,50665,50694,50724,50754,50784,50813,50843,50872,50902,50931,50960,50990,51019,51049,51078,51108,51138,51167,51197,51227,51256,51286,51315,51345,51374,51403,51433,51462,51492,51522,51552,51582,51611,51641,51670,51699,51729,51758,51787,51816,51846,51876,51906,51936,51965,51995,52025,52054,52083,52113,52142,52171,52200,52230,52260,52290,52319,52349,52379,52408,52438,52467,52497,52526,52555,52585,52614,52644,52673,52703,52733,52762,52792,52822,52851,52881,52910,52939,52969,52998,53028,53057,53087,53116,53146,53176,53205,53235,53264,53294,53324,53353,53383,53412,53441,53471,53500,53530,53559,53589,53619,53648,53678,53708,53737,53767,53796,53825,53855,53884,53913,53943,53973,54003,54032,54062,54092,54121,54151,54180,54209,54239,54268,54297,54327,54357,54387,54416,54446,54476,54505,54535,54564,54593,54623,54652,54681,54711,54741,54770,54800,54830,54859,54889,54919,54948,54977,55007,55036,55066,55095,55125,55154,55184,55213,55243,55273,55302,55332,55361,55391,55420,55450,55479,55508,55538,55567,55597,55627,55657,55686,55716,55745,55775,55804,55834,55863,55892,55922,55951,55981,56011,56040,56070,56100,56129,56159,56188,56218,56247,56276,56306,56335,56365,56394,56424,56454,56483,56513,56543,56572,56601,56631,56660,56690,56719,56749,56778,56808,56837,56867,56897,56926,56956,56985,57015,57044,57074,57103,57133,57162,57192,57221,57251,57280,57310,57340,57369,57399,57429,57458,57487,57517,57546,57576,57605,57634,57664,57694,57723,57753,57783,57813,57842,57871,57901,57930,57959,57989,58018,58048,58077,58107,58137,58167,58196,58226,58255,58285,58314,58343,58373,58402,58432,58461,58491,58521,58551,58580,58610,58639,58669,58698,58727,58757,58786,58816,58845,58875,58905,58934,58964,58994,59023,59053,59082,59111,59141,59170,59200,59229,59259,59288,59318,59348,59377,59407,59436,59466,59495,59525,59554,59584,59613,59643,59672,59702,59731,59761,59791,59820,59850,59879,59909,59939,59968,59997,60027,60056,60086,60115,60145,60174,60204,60234,60264,60293,60323,60352,60381,60411,60440,60469,60499,60528,60558,60588,60618,60648,60677,60707,60736,60765,60795,60824,60853,60883,60912,60942,60972,61002,61031,61061,61090,61120,61149,61179,61208,61237,61267,61296,61326,61356,61385,61415,61445,61474,61504,61533,61563,61592,61621,61651,61680,61710,61739,61769,61799,61828,61858,61888,61917,61947,61976,62006,62035,62064,62094,62123,62153,62182,62212,62242,62271,62301,62331,62360,62390,62419,62448,62478,62507,62537,62566,62596,62625,62655,62685,62715,62744,62774,62803,62832,62862,62891,62921,62950,62980,63009,63039,63069,63099,63128,63157,63187,63216,63246,63275,63305,63334,63363,63393,63423,63453,63482,63512,63541,63571,63600,63630,63659,63689,63718,63747,63777,63807,63836,63866,63895,63925,63955,63984,64014,64043,64073,64102,64131,64161,64190,64220,64249,64279,64309,64339,64368,64398,64427,64457,64486,64515,64545,64574,64603,64633,64663,64692,64722,64752,64782,64811,64841,64870,64899,64929,64958,64987,65017,65047,65076,65106,65136,65166,65195,65225,65254,65283,65313,65342,65371,65401,65431,65460,65490,65520,65549,65579,65608,65638,65667,65697,65726,65755,65785,65815,65844,65874,65903,65933,65963,65992,66022,66051,66081,66110,66140,66169,66199,66228,66258,66287,66317,66346,66376,66405,66435,66465,66494,66524,66553,66583,66612,66641,66671,66700,66730,66760,66789,66819,66849,66878,66908,66937,66967,66996,67025,67055,67084,67114,67143,67173,67203,67233,67262,67292,67321,67351,67380,67409,67439,67468,67497,67527,67557,67587,67617,67646,67676,67705,67735,67764,67793,67823,67852,67882,67911,67941,67971,68e3,68030,68060,68089,68119,68148,68177,68207,68236,68266,68295,68325,68354,68384,68414,68443,68473,68502,68532,68561,68591,68620,68650,68679,68708,68738,68768,68797,68827,68857,68886,68916,68946,68975,69004,69034,69063,69092,69122,69152,69181,69211,69240,69270,69300,69330,69359,69388,69418,69447,69476,69506,69535,69565,69595,69624,69654,69684,69713,69743,69772,69802,69831,69861,69890,69919,69949,69978,70008,70038,70067,70097,70126,70156,70186,70215,70245,70274,70303,70333,70362,70392,70421,70451,70481,70510,70540,70570,70599,70629,70658,70687,70717,70746,70776,70805,70835,70864,70894,70924,70954,70983,71013,71042,71071,71101,71130,71159,71189,71218,71248,71278,71308,71337,71367,71397,71426,71455,71485,71514,71543,71573,71602,71632,71662,71691,71721,71751,71781,71810,71839,71869,71898,71927,71957,71986,72016,72046,72075,72105,72135,72164,72194,72223,72253,72282,72311,72341,72370,72400,72429,72459,72489,72518,72548,72577,72607,72637,72666,72695,72725,72754,72784,72813,72843,72872,72902,72931,72961,72991,73020,73050,73080,73109,73139,73168,73197,73227,73256,73286,73315,73345,73375,73404,73434,73464,73493,73523,73552,73581,73611,73640,73669,73699,73729,73758,73788,73818,73848,73877,73907,73936,73965,73995,74024,74053,74083,74113,74142,74172,74202,74231,74261,74291,74320,74349,74379,74408,74437,74467,74497,74526,74556,74586,74615,74645,74675,74704,74733,74763,74792,74822,74851,74881,74910,74940,74969,74999,75029,75058,75088,75117,75147,75176,75206,75235,75264,75294,75323,75353,75383,75412,75442,75472,75501,75531,75560,75590,75619,75648,75678,75707,75737,75766,75796,75826,75856,75885,75915,75944,75974,76003,76032,76062,76091,76121,76150,76180,76210,76239,76269,76299,76328,76358,76387,76416,76446,76475,76505,76534,76564,76593,76623,76653,76682,76712,76741,76771,76801,76830,76859,76889,76918,76948,76977,77007,77036,77066,77096,77125,77155,77185,77214,77243,77273,77302,77332,77361,77390,77420,77450,77479,77509,77539,77569,77598,77627,77657,77686,77715,77745,77774,77804,77833,77863,77893,77923,77952,77982,78011,78041,78070,78099,78129,78158,78188,78217,78247,78277,78307,78336,78366,78395,78425,78454,78483,78513,78542,78572,78601,78631,78661,78690,78720,78750,78779,78808,78838,78867,78897,78926,78956,78985,79015,79044,79074,79104,79133,79163,79192,79222,79251,79281,79310,79340,79369,79399,79428,79458,79487,79517,79546,79576,79606,79635,79665,79695,79724,79753,79783,79812,79841,79871,79900,79930,79960,79990]},{\"../main\":640,\"object-assign\":483}],640:[function(t,e,r){var 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 this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;e=this._add(t,r*i[0]+a*i[1],i[2])}return t.date(e[0],e[1],e[2])},set:function(t,e,r){this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);var n=\"y\"===r?e:t.year(),i=\"m\"===r?e:t.month(),a=\"d\"===r?e:t.day();return\"y\"!==r&&\"m\"!==r||(a=Math.min(a,this.daysInMonth(n,i))),t.date(n,i,a)},isValid:function(t,e,r){this._validateLevel++;var n=this.hasYearZero||0!==t;if(n){var i=this.newDate(t,e,this.minDay);n=e>=this.minMonth&&e-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return c.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(t){return this.fromJD(c.instance().fromJSDate(t).toJD())},_validate:function(t,e,r,n){if(t.year){if(0===this._validateLevel&&this.name!==t.calendar().name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,t.calendar().local.name);return t}try{if(this._validateLevel++,1===this._validateLevel&&!this.isValid(t,e,r))throw n.replace(/\\{0\\}/,this.local.name);var i=this.newDate(t,e,r);return this._validateLevel--,i}catch(t){throw this._validateLevel--,t}}}),l.prototype=new s,n(l.prototype,{name:\"Gregorian\",jdEpoch:1721425.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Gregorian\",epochs:[\"BCE\",\"CE\"],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,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==0&&(t%100!=0||t%400==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,c.local.invalidMonth||c.regionalOptions[\"\"].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 n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=(r=e+1+r-Math.floor(r/4))+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),c=i-(l>2.5?4716:4715);return c<=0&&c--,this.newDate(c,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var c=e.exports=new i;c.cdate=a,c.baseCalendar=s,c.calendars.gregorian=l},{\"object-assign\":483}],641:[function(t,e,r){var n=t(\"object-assign\"),i=t(\"./main\");n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof t&&(e=t,t=\"\"),this._calendar.formatDate(t||\"\",this,e)}}),n(i.baseCalendar.prototype,{UNIX_EPOCH:i.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:86400,TICKS_EPOCH:i.instance().jdEpoch,TICKS_PER_DAY:864e9,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(t,e,r){if(\"string\"!=typeof t&&(r=e,e=t,t=\"\"),!e)return\"\";if(e.calendar()!==this)throw i.local.invalidFormat||i.regionalOptions[\"\"].invalidFormat;t=t||this.local.dateFormat;for(var n,a,o,s,l=(r=r||{}).dayNamesShort||this.local.dayNamesShort,c=r.dayNames||this.local.dayNames,u=r.monthNumbers||this.local.monthNumbers,f=r.monthNamesShort||this.local.monthNamesShort,h=r.monthNames||this.local.monthNames,p=(r.calculateWeek||this.local.calculateWeek,function(e,r){for(var n=1;w+n<t.length&&t.charAt(w+n)===e;)n++;return w+=n-1,Math.floor(n/(r||1))>1}),d=function(t,e,r,n){var i=\"\"+e;if(p(t,n))for(;i.length<r;)i=\"0\"+i;return i},m=this,g=function(t){return\"function\"==typeof u?u.call(m,t,p(\"m\")):x(d(\"m\",t.month(),2))},v=function(t,e){return e?\"function\"==typeof h?h.call(m,t):h[t.month()-m.minMonth]:\"function\"==typeof f?f.call(m,t):f[t.month()-m.minMonth]},y=this.local.digits,x=function(t){return r.localNumbers&&y?y(t):t},b=\"\",_=!1,w=0;w<t.length;w++)if(_)\"'\"!==t.charAt(w)||p(\"'\")?b+=t.charAt(w):_=!1;else switch(t.charAt(w)){case\"d\":b+=x(d(\"d\",e.day(),2));break;case\"D\":b+=(n=\"D\",a=e.dayOfWeek(),o=l,s=c,p(n)?s[a]:o[a]);break;case\"o\":b+=d(\"o\",e.dayOfYear(),3);break;case\"w\":b+=d(\"w\",e.weekOfYear(),2);break;case\"m\":b+=g(e);break;case\"M\":b+=v(e,p(\"M\"));break;case\"y\":b+=p(\"y\",2)?e.year():(e.year()%100<10?\"0\":\"\")+e.year()%100;break;case\"Y\":p(\"Y\",2),b+=e.formatYear();break;case\"J\":b+=e.toJD();break;case\"@\":b+=(e.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":b+=(e.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":p(\"'\")?b+=\"'\":_=!0;break;default:b+=t.charAt(w)}return b},parseDate:function(t,e,r){if(null==e)throw i.local.invalidArguments||i.regionalOptions[\"\"].invalidArguments;if(\"\"===(e=\"object\"==typeof e?e.toString():e+\"\"))return null;t=t||this.local.dateFormat;var n=(r=r||{}).shortYearCutoff||this.shortYearCutoff;n=\"string\"!=typeof n?n:this.today().year()%100+parseInt(n,10);for(var a=r.dayNamesShort||this.local.dayNamesShort,o=r.dayNames||this.local.dayNames,s=r.parseMonth||this.local.parseMonth,l=r.monthNumbers||this.local.monthNumbers,c=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,f=-1,h=-1,p=-1,d=-1,m=-1,g=!1,v=!1,y=function(e,r){for(var n=1;A+n<t.length&&t.charAt(A+n)===e;)n++;return A+=n-1,Math.floor(n/(r||1))>1},x=function(t,r){var n=y(t,r),a=[2,3,n?4:2,n?4:2,10,11,20][\"oyYJ@!\".indexOf(t)+1],o=new RegExp(\"^-?\\\\d{1,\"+a+\"}\"),s=e.substring(M).match(o);if(!s)throw(i.local.missingNumberAt||i.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,M);return M+=s[0].length,parseInt(s[0],10)},b=this,_=function(){if(\"function\"==typeof l){y(\"m\");var t=l.call(b,e.substring(M));return M+=t.length,t}return x(\"m\")},w=function(t,r,n,a){for(var o=y(t,a)?n:r,s=0;s<o.length;s++)if(e.substr(M,o[s].length).toLowerCase()===o[s].toLowerCase())return M+=o[s].length,s+b.minMonth;throw(i.local.unknownNameAt||i.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,M)},T=function(){if(\"function\"==typeof u){var t=y(\"M\")?u.call(b,e.substring(M)):c.call(b,e.substring(M));return M+=t.length,t}return w(\"M\",c,u)},k=function(){if(e.charAt(M)!==t.charAt(A))throw(i.local.unexpectedLiteralAt||i.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,M);M++},M=0,A=0;A<t.length;A++)if(v)\"'\"!==t.charAt(A)||y(\"'\")?k():v=!1;else switch(t.charAt(A)){case\"d\":d=x(\"d\");break;case\"D\":w(\"D\",a,o);break;case\"o\":m=x(\"o\");break;case\"w\":x(\"w\");break;case\"m\":p=_();break;case\"M\":p=T();break;case\"y\":var S=A;g=!y(\"y\",2),A=S,h=x(\"y\",2);break;case\"Y\":h=x(\"Y\",2);break;case\"J\":f=x(\"J\")+.5,\".\"===e.charAt(M)&&(M++,x(\"J\"));break;case\"@\":f=x(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":f=x(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":M=e.length;break;case\"'\":y(\"'\")?k():v=!0;break;default:k()}if(M<e.length)throw i.local.unexpectedText||i.regionalOptions[\"\"].unexpectedText;if(-1===h?h=this.today().year():h<100&&g&&(h+=-1===n?1900:this.today().year()-this.today().year()%100-(h<=n?0:100)),\"string\"==typeof p&&(p=s.call(this,h,p)),m>-1){p=1,d=m;for(var E=this.daysInMonth(h,p);d>E;E=this.daysInMonth(h,p))p++,d-=E}return f>-1?this.fromJD(f):this.newDate(h,p,d)},determineDate:function(t,e,r,n,i){r&&\"object\"!=typeof r&&(i=n,n=r,r=null),\"string\"!=typeof n&&(i=n,n=\"\");var a=this;return e=e?e.newDate():null,t=null==t?e:\"string\"==typeof t?function(t){try{return a.parseDate(n,t,i)}catch(t){}for(var e=((t=t.toLowerCase()).match(/^c/)&&r?r.newDate():null)||a.today(),o=/([+-]?[0-9]+)\\s*(d|w|m|y)?/g,s=o.exec(t);s;)e.add(parseInt(s[1],10),s[2]||\"d\"),s=o.exec(t);return e}(t):\"number\"==typeof t?isNaN(t)||t===1/0||t===-1/0?e:a.today().add(t,\"d\"):a.newDate(t)}})},{\"./main\":640,\"object-assign\":483}],642:[function(t,e,r){e.exports=t(\"cwise-compiler\")({args:[\"array\",{offset:[1],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{}\",args:[],thisVars:[],localVars:[]},post:{body:\"{}\",args:[],thisVars:[],localVars:[]},body:{body:\"{\\n        var _inline_1_da = _inline_1_arg0_ - _inline_1_arg3_\\n        var _inline_1_db = _inline_1_arg1_ - _inline_1_arg3_\\n        if((_inline_1_da >= 0) !== (_inline_1_db >= 0)) {\\n          _inline_1_arg2_.push(_inline_1_arg4_[0] + 0.5 + 0.5 * (_inline_1_da + _inline_1_db) / (_inline_1_da - _inline_1_db))\\n        }\\n      }\",args:[{name:\"_inline_1_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_1_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_1_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_1_arg3_\",lvalue:!1,rvalue:!0,count:2},{name:\"_inline_1_arg4_\",lvalue:!1,rvalue:!0,count:1}],thisVars:[],localVars:[\"_inline_1_da\",\"_inline_1_db\"]},funcName:\"zeroCrossings\"})},{\"cwise-compiler\":157}],643:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=[];return e=+e||0,n(t.hi(t.shape[0]-1),r,e),r};var n=t(\"./lib/zc-core\")},{\"./lib/zc-core\":642}],644:[function(t,e,r){\"use strict\";e.exports=[{path:\"\",backoff:0},{path:\"M-2.4,-3V3L0.6,0Z\",backoff:.6},{path:\"M-3.7,-2.5V2.5L1.3,0Z\",backoff:1.3},{path:\"M-4.45,-3L-1.65,-0.2V0.2L-4.45,3L1.55,0Z\",backoff:1.55},{path:\"M-2.2,-2.2L-0.2,-0.2V0.2L-2.2,2.2L-1.4,3L1.6,0L-1.4,-3Z\",backoff:1.6},{path:\"M-4.4,-2.1L-0.6,-0.2V0.2L-4.4,2.1L-4,3L2,0L-4,-3Z\",backoff:2},{path:\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\",backoff:0,noRotate:!0},{path:\"M2,2V-2H-2V2Z\",backoff:0,noRotate:!0}]},{}],645:[function(t,e,r){\"use strict\";var n=t(\"./arrow_paths\"),i=t(\"../../plots/font_attributes\"),a=t(\"../../plots/cartesian/constants\"),o=t(\"../../plot_api/plot_template\").templatedArray;t(\"../../constants/axis_placeable_objects\");e.exports=o(\"annotation\",{visible:{valType:\"boolean\",dflt:!0,editType:\"calc+arraydraw\"},text:{valType:\"string\",editType:\"calc+arraydraw\"},textangle:{valType:\"angle\",dflt:0,editType:\"calc+arraydraw\"},font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),width:{valType:\"number\",min:1,dflt:null,editType:\"calc+arraydraw\"},height:{valType:\"number\",min:1,dflt:null,editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"center\",editType:\"arraydraw\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"arraydraw\"},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},bordercolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},borderpad:{valType:\"number\",min:0,dflt:1,editType:\"calc+arraydraw\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"calc+arraydraw\"},showarrow:{valType:\"boolean\",dflt:!0,editType:\"calc+arraydraw\"},arrowcolor:{valType:\"color\",editType:\"arraydraw\"},arrowhead:{valType:\"integer\",min:0,max:n.length,dflt:1,editType:\"arraydraw\"},startarrowhead:{valType:\"integer\",min:0,max:n.length,dflt:1,editType:\"arraydraw\"},arrowside:{valType:\"flaglist\",flags:[\"end\",\"start\"],extras:[\"none\"],dflt:\"end\",editType:\"arraydraw\"},arrowsize:{valType:\"number\",min:.3,dflt:1,editType:\"calc+arraydraw\"},startarrowsize:{valType:\"number\",min:.3,dflt:1,editType:\"calc+arraydraw\"},arrowwidth:{valType:\"number\",min:.1,editType:\"calc+arraydraw\"},standoff:{valType:\"number\",min:0,dflt:0,editType:\"calc+arraydraw\"},startstandoff:{valType:\"number\",min:0,dflt:0,editType:\"calc+arraydraw\"},ax:{valType:\"any\",editType:\"calc+arraydraw\"},ay:{valType:\"any\",editType:\"calc+arraydraw\"},axref:{valType:\"enumerated\",dflt:\"pixel\",values:[\"pixel\",a.idRegex.x.toString()],editType:\"calc\"},ayref:{valType:\"enumerated\",dflt:\"pixel\",values:[\"pixel\",a.idRegex.y.toString()],editType:\"calc\"},xref:{valType:\"enumerated\",values:[\"paper\",a.idRegex.x.toString()],editType:\"calc\"},x:{valType:\"any\",editType:\"calc+arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"auto\",editType:\"calc+arraydraw\"},xshift:{valType:\"number\",dflt:0,editType:\"calc+arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",a.idRegex.y.toString()],editType:\"calc\"},y:{valType:\"any\",editType:\"calc+arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"auto\",editType:\"calc+arraydraw\"},yshift:{valType:\"number\",dflt:0,editType:\"calc+arraydraw\"},clicktoshow:{valType:\"enumerated\",values:[!1,\"onoff\",\"onout\"],dflt:!1,editType:\"arraydraw\"},xclick:{valType:\"any\",editType:\"arraydraw\"},yclick:{valType:\"any\",editType:\"arraydraw\"},hovertext:{valType:\"string\",editType:\"arraydraw\"},hoverlabel:{bgcolor:{valType:\"color\",editType:\"arraydraw\"},bordercolor:{valType:\"color\",editType:\"arraydraw\"},font:i({editType:\"arraydraw\"}),editType:\"arraydraw\"},captureevents:{valType:\"boolean\",editType:\"arraydraw\"},editType:\"calc\",_deprecated:{ref:{valType:\"string\",editType:\"calc\"}}})},{\"../../constants/axis_placeable_objects\":768,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/constants\":856,\"../../plots/font_attributes\":878,\"./arrow_paths\":644}],646:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"./draw\").draw;function o(t){var e=t._fullLayout;n.filterVisible(e.annotations).forEach((function(e){var r=i.getFromId(t,e.xref),n=i.getFromId(t,e.yref),a=i.getRefType(e.xref),o=i.getRefType(e.yref);e._extremes={},\"range\"===a&&s(e,r),\"range\"===o&&s(e,n)}))}function s(t,e){var r,n=e._id,a=n.charAt(0),o=t[a],s=t[\"a\"+a],l=t[a+\"ref\"],c=t[\"a\"+a+\"ref\"],u=t[\"_\"+a+\"padplus\"],f=t[\"_\"+a+\"padminus\"],h={x:1,y:-1}[a]*t[a+\"shift\"],p=3*t.arrowsize*t.arrowwidth||0,d=p+h,m=p-h,g=3*t.startarrowsize*t.arrowwidth||0,v=g+h,y=g-h;if(c===l){var x=i.findExtremes(e,[e.r2c(o)],{ppadplus:d,ppadminus:m}),b=i.findExtremes(e,[e.r2c(s)],{ppadplus:Math.max(u,v),ppadminus:Math.max(f,y)});r={min:[x.min[0],b.min[0]],max:[x.max[0],b.max[0]]}}else v=s?v+s:v,y=s?y-s:y,r=i.findExtremes(e,[e.r2c(o)],{ppadplus:Math.max(u,d,v),ppadminus:Math.max(f,m,y)});t._extremes[n]=r}e.exports=function(t){var e=t._fullLayout;if(n.filterVisible(e.annotations).length&&t._fullData.length)return n.syncOrAsync([a,o],t)}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"./draw\":651}],647:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"../../plot_api/plot_template\").arrayEditor;function o(t,e){var r,n,i,a,o,l,c,u=t._fullLayout.annotations,f=[],h=[],p=[],d=(e||[]).length;for(r=0;r<u.length;r++)if(a=(i=u[r]).clicktoshow){for(n=0;n<d;n++)if(l=(o=e[n]).xaxis,c=o.yaxis,l._id===i.xref&&c._id===i.yref&&l.d2r(o.x)===s(i._xclick,l)&&c.d2r(o.y)===s(i._yclick,c)){(i.visible?\"onout\"===a?h:p:f).push(r);break}n===d&&i.visible&&\"onout\"===a&&h.push(r)}return{on:f,off:h,explicitOff:p}}function s(t,e){return\"log\"===e.type?e.l2r(t):e.d2r(t)}e.exports={hasClickToShow:function(t,e){var r=o(t,e);return r.on.length>0||r.explicitOff.length>0},onClick:function(t,e){var 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\":799,\"../../plot_api/plot_template\":838,\"../../registry\":927}],648:[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\":799,\"../color\":662}],649:[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\":826,\"fast-isnumeric\":245}],650:[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 x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(m+\"anchor\"),a(m+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"../../plots/cartesian/axes\":849,\"./attributes\":645,\"./common_defaults\":648}],651:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),m=t(\"../../plot_api/plot_template\").arrayEditor,g=t(\"./draw_arrow_head\");function v(t,e){var 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 M=m(t.layout,_,e),A=M.modifyBase,S=M.modifyItem,E=M.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 q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);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&&A(v._name+\".autorange\",!0),x&&x.autorange&&A(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,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,M=e.width||b,D=e.height||_,B=Math.round(M+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*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*H(.5,e.xanchor)-st*H(.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*H($,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=(M-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,M,D),j.call(u.setRect,F/2,F/2,B-F,q-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,Mt=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(_),M=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(M);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,q=e.arrowcolor,H=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(q)}).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(q));if(g(Y,H,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&A(v._name+\".autorange\",!0),x&&x.autorange&&A(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&&Mt(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),Mt(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\":799,\"../../lib/setcursor\":820,\"../../lib/svg_text_utils\":824,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/axes\":849,\"../../plots/plots\":913,\"../../registry\":927,\"../color\":662,\"../dragelement\":681,\"../drawing\":684,\"../fx\":702,\"./draw_arrow_head\":652,\"@plotly/d3\":58}],652:[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),M=b*Math.sin(f);u.x+=k,u.y+=M,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var A=_*Math.cos(f),S=_*Math.sin(f);o.x-=A,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 I=p.getPointAtLength(E),O=p.getPointAtLength(E-.1);h=Math.atan2(I.y-O.y,I.x-O.x),u=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",L)}function z(){t.style(\"stroke-dasharray\",\"0px,100px\")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}y&&D(m,o,f,v),x&&D(d,u,h,g)}},{\"../../lib\":799,\"../color\":662,\"./arrow_paths\":644,\"@plotly/d3\":58}],653:[function(t,e,r){\"use strict\";var 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\":862,\"./attributes\":645,\"./calc_autorange\":646,\"./click\":647,\"./convert_coords\":649,\"./defaults\":650,\"./draw\":651}],654:[function(t,e,r){\"use strict\";var n=t(\"../annotations/attributes\"),i=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../plot_api/plot_template\").templatedArray;e.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":831,\"../../plot_api/plot_template\":838,\"../annotations/attributes\":645}],655:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\");function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}e.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849}],656:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"../annotations/common_defaults\"),s=t(\"./attributes\");function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"../../plots/cartesian/axes\":849,\"../annotations/common_defaults\":648,\"./attributes\":654}],657:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,i=t(\"../../plots/gl3d/project\"),a=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var f=a[u],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":901,\"../annotations/draw\":651}],658:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t(\"./convert\"),draw:t(\"./draw\")}},{\"../../lib\":799,\"../../registry\":927,\"./attributes\":654,\"./convert\":655,\"./defaults\":656,\"./draw\":657}],659:[function(t,e,r){\"use strict\";e.exports=t(\"world-calendars/dist/main\"),t(\"world-calendars/dist/plus\"),t(\"world-calendars/dist/calendars/chinese\"),t(\"world-calendars/dist/calendars/coptic\"),t(\"world-calendars/dist/calendars/discworld\"),t(\"world-calendars/dist/calendars/ethiopian\"),t(\"world-calendars/dist/calendars/hebrew\"),t(\"world-calendars/dist/calendars/islamic\"),t(\"world-calendars/dist/calendars/julian\"),t(\"world-calendars/dist/calendars/mayan\"),t(\"world-calendars/dist/calendars/nanakshahi\"),t(\"world-calendars/dist/calendars/nepali\"),t(\"world-calendars/dist/calendars/persian\"),t(\"world-calendars/dist/calendars/taiwan\"),t(\"world-calendars/dist/calendars/thai\"),t(\"world-calendars/dist/calendars/ummalqura\")},{\"world-calendars/dist/calendars/chinese\":626,\"world-calendars/dist/calendars/coptic\":627,\"world-calendars/dist/calendars/discworld\":628,\"world-calendars/dist/calendars/ethiopian\":629,\"world-calendars/dist/calendars/hebrew\":630,\"world-calendars/dist/calendars/islamic\":631,\"world-calendars/dist/calendars/julian\":632,\"world-calendars/dist/calendars/mayan\":633,\"world-calendars/dist/calendars/nanakshahi\":634,\"world-calendars/dist/calendars/nepali\":635,\"world-calendars/dist/calendars/persian\":636,\"world-calendars/dist/calendars/taiwan\":637,\"world-calendars/dist/calendars/thai\":638,\"world-calendars/dist/calendars/ummalqura\":639,\"world-calendars/dist/main\":640,\"world-calendars/dist/plus\":641}],660:[function(t,e,r){\"use strict\";var n=t(\"./calendars\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\"),o=a.EPOCHJD,s=a.ONEDAY,l={valType:\"enumerated\",values:Object.keys(n.calendars),editType:\"calc\",dflt:\"gregorian\"},c=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},u={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:\"##\",w:\"##\",c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}};var f={};function h(t){var e=f[t];return e||(e=f[t]=n.instance(t))}function p(t){return i.extendFlat({},l,{description:t})}function d(t){return\"Sets the calendar system to use with `\"+t+\"` date data.\"}var m={xcalendar:p(d(\"x\"))},g=i.extendFlat({},m,{ycalendar:p(d(\"y\"))}),v=i.extendFlat({},g,{zcalendar:p(d(\"z\"))}),y=p([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:g,bar:g,box:g,heatmap:g,contour:g,histogram:g,histogram2d:g,histogram2dcontour:g,scatter3d:v,surface:v,mesh3d:v,scattergl:g,ohlc:m,candlestick:m},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var i=0;i<r.length;i++)c(t,e,r[i]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:h,worldCalFmt:function(t,e,r){for(var n,i,a,l,c,f=Math.floor((e+.05)/s)+o,p=h(r).fromJD(f),d=0;-1!==(d=t.indexOf(\"%\",d));)\"0\"===(n=t.charAt(d+1))||\"-\"===n||\"_\"===n?(a=3,i=t.charAt(d+2),\"_\"===n&&(n=\"-\")):(i=n,n=\"0\",a=2),(l=u[i])?(c=\"##\"===l?\"##\":p.formatDate(l[n]),t=t.substr(0,d)+c+t.substr(d+a),d+=c.length):d+=a;return t}}},{\"../../constants/numerical\":775,\"../../lib\":799,\"./calendars\":659}],661:[function(t,e,r){\"use strict\";r.defaults=[\"#1f77b4\",\"#ff7f0e\",\"#2ca02c\",\"#d62728\",\"#9467bd\",\"#8c564b\",\"#e377c2\",\"#7f7f7f\",\"#bcbd22\",\"#17becf\"],r.defaultLine=\"#444\",r.lightLine=\"#eee\",r.background=\"#fff\",r.borderLine=\"#BEC8D9\",r.lightFraction=1e3/11},{}],662:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib/array\").isTypedArray,o=e.exports={},s=t(\"./attributes\");o.defaults=s.defaults;var l=o.defaultLine=s.defaultLine;o.lightLine=s.lightLine;var c=o.background=s.background;function u(t){if(i(t)||\"string\"!=typeof t)return t;var e=t.trim();if(\"rgb\"!==e.substr(0,3))return t;var r=e.match(/^rgba?\\s*\\(([^()]*)\\)$/);if(!r)return t;var n=r[1].trim().split(/\\s*[\\s,]\\s*/),a=\"a\"===e.charAt(3)&&4===n.length;if(!a&&3!==n.length)return t;for(var o=0;o<n.length;o++){if(!n[o].length)return t;if(n[o]=Number(n[o]),!(n[o]>=0))return t;if(3===o)n[o]>1&&(n[o]=1);else if(n[o]>=1)return t}var s=Math.round(255*n[0])+\", \"+Math.round(255*n[1])+\", \"+Math.round(255*n[2]);return a?\"rgba(\"+s+\", \"+n[3]+\")\":\"rgb(\"+s+\")\"}o.tinyRGB=function(t){var e=t.toRgb();return\"rgb(\"+Math.round(e.r)+\", \"+Math.round(e.g)+\", \"+Math.round(e.b)+\")\"},o.rgb=function(t){return o.tinyRGB(n(t))},o.opacity=function(t){return t?n(t).getAlpha():0},o.addOpacity=function(t,e){var r=n(t).toRgb();return\"rgba(\"+Math.round(r.r)+\", \"+Math.round(r.g)+\", \"+Math.round(r.b)+\", \"+e+\")\"},o.combine=function(t,e){var r=n(t).toRgb();if(1===r.a)return n(t).toRgbString();var i=n(e||c).toRgb(),a=1===i.a?i:{r:255*(1-i.a)+i.r*i.a,g:255*(1-i.a)+i.g*i.a,b:255*(1-i.a)+i.b*i.a},o={r:a.r*(1-r.a)+r.r*r.a,g:a.g*(1-r.a)+r.g*r.a,b:a.b*(1-r.a)+r.b*r.a};return n(o).toRgbString()},o.contrast=function(t,e,r){var i=n(t);return 1!==i.getAlpha()&&(i=n(o.combine(t,c))),(i.isDark()?e?i.lighten(e):c:r?i.darken(r):l).toString()},o.stroke=function(t,e){var r=n(e);t.style({stroke:o.tinyRGB(r),\"stroke-opacity\":r.getAlpha()})},o.fill=function(t,e){var r=n(e);t.style({fill:o.tinyRGB(r),\"fill-opacity\":r.getAlpha()})},o.clean=function(t){if(t&&\"object\"==typeof t){var e,r,n,i,s=Object.keys(t);for(e=0;e<s.length;e++)if(i=t[n=s[e]],\"color\"===n.substr(n.length-5))if(Array.isArray(i))for(r=0;r<i.length;r++)i[r]=u(i[r]);else t[n]=u(i);else if(\"colorscale\"===n.substr(n.length-10)&&Array.isArray(i))for(r=0;r<i.length;r++)Array.isArray(i[r])&&(i[r][1]=u(i[r][1]));else if(Array.isArray(i)){var l=i[0];if(!Array.isArray(l)&&l&&\"object\"==typeof l)for(r=0;r<i.length;r++)o.clean(i[r])}else i&&\"object\"==typeof i&&!a(i)&&o.clean(i)}}},{\"../../lib/array\":781,\"./attributes\":661,\"fast-isnumeric\":245,tinycolor2:594}],663:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),a=t(\"../../lib/extend\").extendFlat,o=t(\"../../plot_api/edit_types\").overrideAll;e.exports=o({thicknessmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\"},thickness:{valType:\"number\",min:0,dflt:30},lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",dflt:1.02,min:-2,max:3},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},xpad:{valType:\"number\",min:0,dflt:10},y:{valType:\"number\",dflt:.5,min:-2,max:3},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\"},ypad:{valType:\"number\",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:\"number\",min:0,dflt:0},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},tickmode:n.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:\"\"}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"],dflt:\"outside\"},ticklen:n.ticklen,tickwidth:n.tickwidth,tickcolor:n.tickcolor,showticklabels:n.showticklabels,tickfont:i({}),tickangle:n.tickangle,tickformat:n.tickformat,tickformatstops:n.tickformatstops,tickprefix:n.tickprefix,showtickprefix:n.showtickprefix,ticksuffix:n.ticksuffix,showticksuffix:n.showticksuffix,separatethousands:n.separatethousands,exponentformat:n.exponentformat,minexponent:n.minexponent,showexponent:n.showexponent,title:{text:{valType:\"string\"},font:i({}),side:{valType:\"enumerated\",values:[\"right\",\"top\",\"bottom\"],dflt:\"top\"}},_deprecated:{title:{valType:\"string\"},titlefont:i({}),titleside:{valType:\"enumerated\",values:[\"right\",\"top\",\"bottom\"],dflt:\"top\"}}},\"colorbars\",\"from-root\")},{\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/cartesian/layout_attributes\":864,\"../../plots/font_attributes\":878}],664:[function(t,e,r){\"use strict\";e.exports={cn:{colorbar:\"colorbar\",cbbg:\"cbbg\",cbfill:\"cbfill\",cbfills:\"cbfills\",cbline:\"cbline\",cblines:\"cblines\",cbaxis:\"cbaxis\",cbtitleunshift:\"cbtitleunshift\",cbtitle:\"cbtitle\",cboutline:\"cboutline\",crisp:\"crisp\",jsPlaceholder:\"js-placeholder\"}}},{}],665:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plot_api/plot_template\"),a=t(\"../../plots/cartesian/tick_value_defaults\"),o=t(\"../../plots/cartesian/tick_mark_defaults\"),s=t(\"../../plots/cartesian/tick_label_defaults\"),l=t(\"./attributes\");e.exports=function(t,e,r){var c=i.newContainer(e,\"colorbar\"),u=t.colorbar||{};function f(t,e){return n.coerce(u,c,l,t,e)}var h=f(\"thicknessmode\");f(\"thickness\",\"fraction\"===h?30/(r.width-r.margin.l-r.margin.r):30);var p=f(\"lenmode\");f(\"len\",\"fraction\"===p?1:r.height-r.margin.t-r.margin.b),f(\"x\"),f(\"xanchor\"),f(\"xpad\"),f(\"y\"),f(\"yanchor\"),f(\"ypad\"),n.noneOrAll(u,c,[\"x\",\"y\"]),f(\"outlinecolor\"),f(\"outlinewidth\"),f(\"bordercolor\"),f(\"borderwidth\"),f(\"bgcolor\");var d=f(\"ticklabelposition\");f(\"ticklabeloverflow\",-1!==d.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(u,c,f,\"linear\");var m=r.font,g={outerTicks:!1,font:m};-1!==d.indexOf(\"inside\")&&(g.bgColor=\"black\"),s(u,c,f,\"linear\",g),o(u,c,f,\"linear\",g),f(\"title.text\",r._dfltTitle.colorbar);var v=c.tickfont,y=n.extendFlat({},v,{color:m.color,size:n.bigFont(v.size)});n.coerceFont(f,\"title.font\",y),f(\"title.side\")}},{\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/tick_label_defaults\":871,\"../../plots/cartesian/tick_mark_defaults\":872,\"../../plots/cartesian/tick_value_defaults\":873,\"./attributes\":663}],666:[function(t,e,r){\"use strict\";var 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,M=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+M.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 i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?v(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var u=0;u<o.length;u++){var h=o[u],p=(n=h[0].trace)._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),m=d?p:[p],g=0;g<m.length;g++){var y=(i=m[g]).container;(r=y?n[y]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&y?\"-\"+y:\"\"),e._traceIndex=n.index,e._propPrefix=(y?y+\".\":\"\")+\"colorbar.\",e._meta=n._meta,c(),s.push(e))}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),c(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(M.colorbar,!0),e.each((function(e){var r=n.select(this);c.ensureSingle(r,\"rect\",M.cbbg),c.ensureSingle(r,\"g\",M.cbfills),c.ensureSingle(r,\"g\",M.cblines),c.ensureSingle(r,\"g\",M.cbaxis,(function(t){t.classed(M.crisp,!0)})),c.ensureSingle(r,\"g\",M.cbtitleunshift,(function(t){t.append(\"g\").classed(M.cbtitle,!0)})),c.ensureSingle(r,\"rect\",M.cboutline);var v=function(t,e,r){var o=r._fullLayout,l=o._size,h=e._fillcolor,v=e._line,_=e.title,A=_.side,S=e._zrange||n.extent((\"function\"==typeof h?h:v.color).domain()),E=\"function\"==typeof v.color?v.color:function(){return v.color},L=\"function\"==typeof h?h:function(){return h},C=e._levels,P=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,S),I=P.fill,O=P.line,z=Math.round(e.thickness*(\"fraction\"===e.thicknessmode?l.w:1)),D=z/l.w,R=Math.round(e.len*(\"fraction\"===e.lenmode?l.h:1)),F=R/l.h,B=e.xpad/l.w,N=(e.borderwidth+e.outlinewidth)/2,j=e.ypad/l.h,U=Math.round(e.x*l.w+e.xpad),V=e.x-D*({middle:.5,right:1}[e.xanchor]||0),q=e.y+F*(({top:-.5,bottom:.5}[e.yanchor]||0)-.5),H=Math.round(l.h*(1-q)),G=H-R;e._lenFrac=F,e._thickFrac=D,e._xLeftFrac=V,e._yBottomFrac=q;var Y=e._axis=function(t,e,r){var n=t._fullLayout,i={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,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:\"right\",position:1},a={type:\"linear\",_id:\"y\"+e._id},o={letter:\"y\",font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function s(t,e){return c.coerce(i,a,b,t,e)}return y(i,a,s,o,n),x(i,a,s,o),a}(r,e,S);Y.position=e.x+B+D,-1!==[\"top\",\"bottom\"].indexOf(A)&&(Y.title.side=A,Y.titlex=e.x+B,Y.titley=q+(\"top\"===_.side?F-j:j));if(v.color&&\"auto\"===e.tickmode){Y.tickmode=\"linear\",Y.tick0=C.start;var W=C.size,X=c.constrain((H-G)/50,4,15)+1,Z=(S[1]-S[0])/((e.nticks||X)*W);if(Z>1){var J=Math.pow(10,Math.floor(Math.log(Z)/Math.LN10));W*=J*c.roundUp(Z/J,[2,5,10]),(Math.abs(C.start)/C.size+1e-6)%1<2e-6&&(Y.tick0=0)}Y.dtick=W}Y.domain=[q+j,q+F-j],Y.setScale(),t.attr(\"transform\",u(Math.round(l.l),Math.round(l.t)));var K,Q=t.select(\".\"+M.cbtitleunshift).attr(\"transform\",u(-Math.round(l.l),-Math.round(l.t))),$=t.select(\".\"+M.cbaxis),tt=0;function et(n,i){var a={propContainer:Y,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:o._dfltTitle.colorbar,containerGroup:t.select(\".\"+M.cbtitle)},s=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+s+\",.\"+s+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){if(-1!==[\"top\",\"bottom\"].indexOf(A)){var t,r=l.l+(e.x+B)*l.w,n=Y.title.font.size;t=\"top\"===A?(1-(q+F-j))*l.h+l.t+3+.75*n:(1-(q+j))*l.h+l.t-3-.25*n,et(Y._id+\"title\",{attributes:{x:r,y:t,\"text-anchor\":\"start\"}})}},function(){if(-1!==[\"top\",\"bottom\"].indexOf(A)){var a=t.select(\".\"+M.cbtitle),o=a.select(\"text\"),f=[-e.outlinewidth/2,e.outlinewidth/2],h=a.select(\".h\"+Y._id+\"title-math-group\").node(),d=15.6;if(o.node()&&(d=parseInt(o.node().style.fontSize,10)*w),h?(tt=p.bBox(h).height)>d&&(f[1]-=(tt-d)/2):o.node()&&!o.classed(M.jsPlaceholder)&&(tt=p.bBox(o.node()).height),tt){if(tt+=5,\"top\"===A)Y.domain[1]-=tt/l.h,f[1]*=-1;else{Y.domain[0]+=tt/l.h;var m=g.lineCount(o);f[1]+=(1-m)*d}a.attr(\"transform\",u(f[0],f[1])),Y.setScale()}}t.selectAll(\".\"+M.cbfills+\",.\"+M.cblines).attr(\"transform\",u(0,Math.round(l.h*(1-Y.domain[1])))),$.attr(\"transform\",u(0,Math.round(-l.t)));var y=t.select(\".\"+M.cbfills).selectAll(\"rect.\"+M.cbfill).attr(\"style\",\"\").data(I);y.enter().append(\"rect\").classed(M.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=S.map(Y.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var o=[0===a?S[0]:(I[a]+I[a-1])/2,a===I.length-1?S[1]:(I[a]+I[a+1])/2].map(Y.c2p).map(Math.round);o[1]=c.constrain(o[1]+(o[1]>o[0])?1:-1,x[0],x[1]);var s=n.select(this).attr({x:U,width:Math.max(z,2),y:n.min(o),height:Math.max(n.max(o)-n.min(o),2)});if(e._fillgradient)p.gradient(s,r,e._id,\"vertical\",e._fillgradient,\"fill\");else{var l=L(t).replace(\"e-\",\"\");s.attr(\"fill\",i(l).toHexString())}}));var b=t.select(\".\"+M.cblines).selectAll(\"path.\"+M.cbline).data(v.color&&v.width?O:[]);b.enter().append(\"path\").classed(M.cbline,!0),b.exit().remove(),b.each((function(t){n.select(this).attr(\"d\",\"M\"+U+\",\"+(Math.round(Y.c2p(t))+v.width/2%1)+\"h\"+z).call(p.lineGroupStyle,v.width,E(t),v.dash)})),$.selectAll(\"g.\"+Y._id+\"tick,path\").remove();var _=U+z+(e.outlinewidth||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(Y),k=s.getTickSigns(Y)[2];return s.drawTicks(r,Y,{vals:\"inside\"===Y.ticks?s.clipEnds(Y,T):T,layer:$,path:s.makeTickPath(Y,_,k),transFn:s.makeTransTickFn(Y)}),s.drawLabels(r,Y,{vals:T,layer:$,transFn:s.makeTransTickLabelFn(Y),labelFns:s.makeLabelFns(Y,_)})},function(){if(-1===[\"top\",\"bottom\"].indexOf(A)){var t=Y.title.font.size,e=Y._offset+Y._length/2,i=l.l+(Y.position||0)*l.w+(\"right\"===Y.side?10+t*(Y.showticklabels?1:.5):-10-t*(Y.showticklabels?.5:0));et(\"h\"+Y._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+Y._id+\"tick\"),side:A,offsetLeft:l.l,offsetTop:0,maxShift:o.width},attributes:{x:i,y:e,\"text-anchor\":\"middle\"},transform:{rotate:\"-90\",offset:0}})}},a.previousPromises,function(){var n=z+e.outlinewidth/2;if(-1===Y.ticklabelposition.indexOf(\"inside\")&&(n+=p.bBox($.node()).width),(K=Q.select(\"text\")).node()&&!K.classed(M.jsPlaceholder)){var i,o=Q.select(\".h\"+Y._id+\"title-math-group\").node();i=o&&-1!==[\"top\",\"bottom\"].indexOf(A)?p.bBox(o).width:p.bBox(Q.node()).right-U-l.l,n=Math.max(n,i)}var s=2*e.xpad+n+e.borderwidth+e.outlinewidth/2,c=H-G;t.select(\".\"+M.cbbg).attr({x:U-e.xpad-(e.borderwidth+e.outlinewidth)/2,y:G-N,width:Math.max(s,2),height:Math.max(c+2*N,2)}).call(d.fill,e.bgcolor).call(d.stroke,e.bordercolor).style(\"stroke-width\",e.borderwidth),t.selectAll(\".\"+M.cboutline).attr({x:U,y:G+e.ypad+(\"top\"===A?tt:0),width:Math.max(z,2),height:Math.max(c-2*e.ypad-tt,2)}).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":e.outlinewidth});var f=({center:.5,right:1}[e.xanchor]||0)*s;t.attr(\"transform\",u(l.l-f,l.t));var h={},m=T[e.yanchor],g=k[e.yanchor];\"pixels\"===e.lenmode?(h.y=e.y,h.t=c*m,h.b=c*g):(h.t=h.b=0,h.yt=e.y+e.len*m,h.yb=e.y-e.len*g);var v=T[e.xanchor],y=k[e.xanchor];if(\"pixels\"===e.thicknessmode)h.x=e.x,h.l=s*v,h.r=s*y;else{var x=s-z;h.l=x*v,h.r=x*y,h.xl=e.x-e.thickness*v,h.xr=e.x+e.thickness*y}a.autoMargin(r,e._id,h)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=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(e._xLeftFrac+r/s.w,e._thickFrac,0,1,e.xanchor),a=l.align(e._yBottomFrac-o/s.h,e._lenFrac,0,1,e.yanchor);var c=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,c)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 0!==e._traceIndex?o.call(\"_guiRestyle\",r,n,e._traceIndex):o.call(\"_guiRelayout\",r,n)}}})}(r,e,t)})),e.exit().each((function(e){a.autoMargin(t,e._id)})).remove(),e.order()}}},{\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/extend\":789,\"../../lib/setcursor\":820,\"../../lib/svg_text_utils\":824,\"../../plots/cartesian/axes\":849,\"../../plots/cartesian/axis_defaults\":851,\"../../plots/cartesian/layout_attributes\":864,\"../../plots/cartesian/position_defaults\":867,\"../../plots/plots\":913,\"../../registry\":927,\"../color\":662,\"../colorscale/helpers\":673,\"../dragelement\":681,\"../drawing\":684,\"../titles\":760,\"./constants\":664,\"@plotly/d3\":58,tinycolor2:594}],667:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t){return n.isPlainObject(t.colorbar)}},{\"../../lib\":799}],668:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"colorbar\",attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),draw:t(\"./draw\").draw,hasColorbar:t(\"./has_colorbar\")}},{\"./attributes\":663,\"./defaults\":665,\"./draw\":666,\"./has_colorbar\":667}],669:[function(t,e,r){\"use strict\";var n=t(\"../colorbar/attributes\"),i=t(\"../../lib/regex\").counter,a=t(\"./scales.js\").scales;Object.keys(a);function o(t){return\"`\"+t+\"`\"}e.exports=function(t,e){t=t||\"\";var r,s=(e=e||{}).cLetter||\"c\",l=(\"onlyIfNumerical\"in e?e.onlyIfNumerical:Boolean(t),\"noScale\"in e?e.noScale:\"marker.line\"===t),c=\"showScaleDflt\"in e?e.showScaleDflt:\"z\"===s,u=\"string\"==typeof e.colorscaleDflt?a[e.colorscaleDflt]:null,f=e.editTypeOverride||\"\",h=t?t+\".\":\"\";\"colorAttr\"in e?(r=e.colorAttr,e.colorAttr):o(h+(r={z:\"z\",c:\"color\"}[s]));var p=s+\"auto\",d=s+\"min\",m=s+\"max\",g=s+\"mid\",v=(o(h+p),o(h+d),o(h+m),{});v[d]=v[m]=void 0;var y={};y[p]=!1;var x={};return\"color\"===r&&(x.color={valType:\"color\",arrayOk:!0,editType:f||\"style\"},e.anim&&(x.color.anim=!0)),x[p]={valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:v},x[d]={valType:\"number\",dflt:null,editType:f||\"plot\",impliedEdits:y},x[m]={valType:\"number\",dflt:null,editType:f||\"plot\",impliedEdits:y},x[g]={valType:\"number\",dflt:null,editType:\"calc\",impliedEdits:v},x.colorscale={valType:\"colorscale\",editType:\"calc\",dflt:u,impliedEdits:{autocolorscale:!1}},x.autocolorscale={valType:\"boolean\",dflt:!1!==e.autoColorDflt,editType:\"calc\",impliedEdits:{colorscale:void 0}},x.reversescale={valType:\"boolean\",dflt:!1,editType:\"plot\"},l||(x.showscale={valType:\"boolean\",dflt:c,editType:\"calc\"},x.colorbar=n),e.noColorAxis||(x.coloraxis={valType:\"subplotid\",regex:i(\"coloraxis\"),dflt:null,editType:\"calc\"}),x}},{\"../../lib/regex\":816,\"../colorbar/attributes\":663,\"./scales.js\":677}],670:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./helpers\").extractOpts;e.exports=function(t,e,r){var o,s=t._fullLayout,l=r.vals,c=r.containerStr,u=c?i.nestedProperty(e,c).get():e,f=a(u),h=!1!==f.auto,p=f.min,d=f.max,m=f.mid,g=function(){return i.aggNums(Math.min,null,l)},v=function(){return i.aggNums(Math.max,null,l)};(void 0===p?p=g():h&&(p=u._colorAx&&n(p)?Math.min(p,g()):g()),void 0===d?d=v():h&&(d=u._colorAx&&n(d)?Math.max(d,v()):v()),h&&void 0!==m&&(d-m>m-p?p=m-(d-m):d-m<m-p&&(d=m+(m-p))),p===d&&(p-=.5,d+=.5),f._sync(\"min\",p),f._sync(\"max\",d),f.autocolorscale)&&(o=p*d<0?s.colorscale.diverging:p>=0?s.colorscale.sequential:s.colorscale.sequentialminus,f._sync(\"colorscale\",o))}},{\"../../lib\":799,\"./helpers\":673,\"fast-isnumeric\":245}],671:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./helpers\").hasColorscale,a=t(\"./helpers\").extractOpts;e.exports=function(t,e){function r(t,e){var r=t[\"_\"+e];void 0!==r&&(t[e]=r)}function o(t,i){var o=i.container?n.nestedProperty(t,i.container).get():t;if(o)if(o.coloraxis)o._colorAx=e[o.coloraxis];else{var s=a(o),l=s.auto;(l||void 0===s.min)&&r(o,i.min),(l||void 0===s.max)&&r(o,i.max),s.autocolorscale&&r(o,\"colorscale\")}}for(var s=0;s<t.length;s++){var l=t[s],c=l._module.colorbar;if(c)if(Array.isArray(c))for(var u=0;u<c.length;u++)o(l,c[u]);else o(l,c);i(l,\"marker.line\")&&o(l,{container:\"marker.line\",min:\"cmin\",max:\"cmax\"})}for(var f in e._colorAxes)o(e[f],{min:\"cmin\",max:\"cmax\"})}},{\"../../lib\":799,\"./helpers\":673}],672:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../colorbar/has_colorbar\"),o=t(\"../colorbar/defaults\"),s=t(\"./scales\").isValid,l=t(\"../../registry\").traceIs;function c(t,e){var r=e.slice(0,e.length-1);return e?i.nestedProperty(t,r).get()||{}:t}e.exports=function t(e,r,u,f,h){var p=h.prefix,d=h.cLetter,m=\"_module\"in r,g=c(e,p),v=c(r,p),y=c(r._template||{},p)||{},x=function(){return delete e.coloraxis,delete r.coloraxis,t(e,r,u,f,h)};if(m){var b=u._colorAxes||{},_=f(p+\"coloraxis\");if(_){var w=l(r,\"contour\")&&i.nestedProperty(r,\"contours.coloring\").get()||\"heatmap\",T=b[_];return void(T?(T[2].push(x),T[0]!==w&&(T[0]=!1,i.warn([\"Ignoring coloraxis:\",_,\"setting\",\"as it is linked to incompatible colorscales.\"].join(\" \")))):b[_]=[w,r,[x]])}}var k=g[d+\"min\"],M=g[d+\"max\"],A=n(k)&&n(M)&&k<M;f(p+d+\"auto\",!A)?f(p+d+\"mid\"):(f(p+d+\"min\"),f(p+d+\"max\"));var S,E,L=g.colorscale,C=y.colorscale;(void 0!==L&&(S=!s(L)),void 0!==C&&(S=!s(C)),f(p+\"autocolorscale\",S),f(p+\"colorscale\"),f(p+\"reversescale\"),\"marker.line.\"!==p)&&(p&&m&&(E=a(g)),f(p+\"showscale\",E)&&(p&&y&&(v._template=y),o(g,v,u)))}},{\"../../lib\":799,\"../../registry\":927,\"../colorbar/defaults\":665,\"../colorbar/has_colorbar\":667,\"./scales\":677,\"fast-isnumeric\":245}],673:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"fast-isnumeric\"),o=t(\"../../lib\"),s=t(\"../color\"),l=t(\"./scales\").isValid;var c=[\"showscale\",\"autocolorscale\",\"colorscale\",\"reversescale\",\"colorbar\"],u=[\"min\",\"max\",\"mid\",\"auto\"];function f(t){var e,r,n,i=t._colorAx,a=i||t,o={};for(r=0;r<c.length;r++)o[n=c[r]]=a[n];if(i)for(e=\"c\",r=0;r<u.length;r++)o[n=u[r]]=a[\"c\"+n];else{var s;for(r=0;r<u.length;r++)((s=\"c\"+(n=u[r]))in a||(s=\"z\"+n)in a)&&(o[n]=a[s]);e=s.charAt(0)}return o._sync=function(t,r){var n=-1!==u.indexOf(t)?e+t:t;a[n]=a[\"_\"+n]=r},o}function h(t){for(var e=f(t),r=e.min,n=e.max,i=e.reversescale?p(e.colorscale):e.colorscale,a=i.length,o=new Array(a),s=new Array(a),l=0;l<a;l++){var c=i[l];o[l]=r+c[0]*(n-r),s[l]=c[1]}return{domain:o,range:s}}function p(t){for(var e=t.length,r=new Array(e),n=e-1,i=0;n>=0;n--,i++){var a=t[n];r[i]=[1-a[0],a[1]]}return r}function d(t,e){e=e||{};for(var r=t.domain,o=t.range,l=o.length,c=new Array(l),u=0;u<l;u++){var f=i(o[u]).toRgb();c[u]=[f.r,f.g,f.b,f.a]}var h,p=n.scale.linear().domain(r).range(c).clamp(!0),d=e.noNumericCheck,g=e.returnArray;return(h=d&&g?p:d?function(t){return m(p(t))}:g?function(t){return a(t)?p(t):i(t).isValid()?t:s.defaultLine}:function(t){return a(t)?m(p(t)):i(t).isValid()?t:s.defaultLine}).domain=p.domain,h.range=function(){return o},h}function m(t){var e={r:t[0],g:t[1],b:t[2],a:t[3]};return i(e).toRgbString()}e.exports={hasColorscale:function(t,e,r){var n=e?o.nestedProperty(t,e).get()||{}:t,i=n[r||\"color\"],s=!1;if(o.isArrayOrTypedArray(i))for(var c=0;c<i.length;c++)if(a(i[c])){s=!0;break}return o.isPlainObject(n)&&(s||!0===n.showscale||a(n.cmin)&&a(n.cmax)||l(n.colorscale)||o.isPlainObject(n.colorbar))},extractOpts:f,extractScale:h,flipScale:p,makeColorScaleFunc:d,makeColorScaleFuncFromTrace:function(t,e){return d(h(t),e)}}},{\"../../lib\":799,\"../color\":662,\"./scales\":677,\"@plotly/d3\":58,\"fast-isnumeric\":245,tinycolor2:594}],674:[function(t,e,r){\"use strict\";var n=t(\"./scales\"),i=t(\"./helpers\");e.exports={moduleType:\"component\",name:\"colorscale\",attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyLayoutDefaults:t(\"./layout_defaults\"),handleDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"./cross_trace_defaults\"),calc:t(\"./calc\"),scales:n.scales,defaultScale:n.defaultScale,getScale:n.get,isValidScale:n.isValid,hasColorscale:i.hasColorscale,extractOpts:i.extractOpts,extractScale:i.extractScale,flipScale:i.flipScale,makeColorScaleFunc:i.makeColorScaleFunc,makeColorScaleFuncFromTrace:i.makeColorScaleFuncFromTrace}},{\"./attributes\":669,\"./calc\":670,\"./cross_trace_defaults\":671,\"./defaults\":672,\"./helpers\":673,\"./layout_attributes\":675,\"./layout_defaults\":676,\"./scales\":677}],675:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,i=t(\"./attributes\"),a=t(\"./scales\").scales;e.exports={editType:\"calc\",colorscale:{editType:\"calc\",sequential:{valType:\"colorscale\",dflt:a.Reds,editType:\"calc\"},sequentialminus:{valType:\"colorscale\",dflt:a.Blues,editType:\"calc\"},diverging:{valType:\"colorscale\",dflt:a.RdBu,editType:\"calc\"}},coloraxis:n({_isSubplotObj:!0,editType:\"calc\"},i(\"\",{colorAttr:\"corresponding trace color array(s)\",noColorAxis:!0,showScaleDflt:!0}))}},{\"../../lib/extend\":789,\"./attributes\":669,\"./scales\":677}],676:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plot_api/plot_template\"),a=t(\"./layout_attributes\"),o=t(\"./defaults\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"colorscale.sequential\"),r(\"colorscale.sequentialminus\"),r(\"colorscale.diverging\");var s,l,c=e._colorAxes;function u(t,e){return n.coerce(s,l,a.coloraxis,t,e)}for(var f in c){var h=c[f];if(h[0])s=t[f]||{},(l=i.newContainer(e,f,\"coloraxis\"))._name=f,o(s,l,e,u,{prefix:\"\",cLetter:\"c\"});else{for(var p=0;p<h[2].length;p++)h[2][p]();delete e._colorAxes[f]}}}},{\"../../lib\":799,\"../../plot_api/plot_template\":838,\"./defaults\":672,\"./layout_attributes\":675}],677:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\"),i={Greys:[[0,\"rgb(0,0,0)\"],[1,\"rgb(255,255,255)\"]],YlGnBu:[[0,\"rgb(8,29,88)\"],[.125,\"rgb(37,52,148)\"],[.25,\"rgb(34,94,168)\"],[.375,\"rgb(29,145,192)\"],[.5,\"rgb(65,182,196)\"],[.625,\"rgb(127,205,187)\"],[.75,\"rgb(199,233,180)\"],[.875,\"rgb(237,248,217)\"],[1,\"rgb(255,255,217)\"]],Greens:[[0,\"rgb(0,68,27)\"],[.125,\"rgb(0,109,44)\"],[.25,\"rgb(35,139,69)\"],[.375,\"rgb(65,171,93)\"],[.5,\"rgb(116,196,118)\"],[.625,\"rgb(161,217,155)\"],[.75,\"rgb(199,233,192)\"],[.875,\"rgb(229,245,224)\"],[1,\"rgb(247,252,245)\"]],YlOrRd:[[0,\"rgb(128,0,38)\"],[.125,\"rgb(189,0,38)\"],[.25,\"rgb(227,26,28)\"],[.375,\"rgb(252,78,42)\"],[.5,\"rgb(253,141,60)\"],[.625,\"rgb(254,178,76)\"],[.75,\"rgb(254,217,118)\"],[.875,\"rgb(255,237,160)\"],[1,\"rgb(255,255,204)\"]],Bluered:[[0,\"rgb(0,0,255)\"],[1,\"rgb(255,0,0)\"]],RdBu:[[0,\"rgb(5,10,172)\"],[.35,\"rgb(106,137,247)\"],[.5,\"rgb(190,190,190)\"],[.6,\"rgb(220,170,132)\"],[.7,\"rgb(230,145,90)\"],[1,\"rgb(178,10,28)\"]],Reds:[[0,\"rgb(220,220,220)\"],[.2,\"rgb(245,195,157)\"],[.4,\"rgb(245,160,105)\"],[1,\"rgb(178,10,28)\"]],Blues:[[0,\"rgb(5,10,172)\"],[.35,\"rgb(40,60,190)\"],[.5,\"rgb(70,100,245)\"],[.6,\"rgb(90,120,245)\"],[.7,\"rgb(106,137,247)\"],[1,\"rgb(220,220,220)\"]],Picnic:[[0,\"rgb(0,0,255)\"],[.1,\"rgb(51,153,255)\"],[.2,\"rgb(102,204,255)\"],[.3,\"rgb(153,204,255)\"],[.4,\"rgb(204,204,255)\"],[.5,\"rgb(255,255,255)\"],[.6,\"rgb(255,204,255)\"],[.7,\"rgb(255,153,255)\"],[.8,\"rgb(255,102,204)\"],[.9,\"rgb(255,102,102)\"],[1,\"rgb(255,0,0)\"]],Rainbow:[[0,\"rgb(150,0,90)\"],[.125,\"rgb(0,0,200)\"],[.25,\"rgb(0,25,255)\"],[.375,\"rgb(0,152,255)\"],[.5,\"rgb(44,255,150)\"],[.625,\"rgb(151,255,0)\"],[.75,\"rgb(255,234,0)\"],[.875,\"rgb(255,111,0)\"],[1,\"rgb(255,0,0)\"]],Portland:[[0,\"rgb(12,51,131)\"],[.25,\"rgb(10,136,186)\"],[.5,\"rgb(242,211,56)\"],[.75,\"rgb(242,143,56)\"],[1,\"rgb(217,30,30)\"]],Jet:[[0,\"rgb(0,0,131)\"],[.125,\"rgb(0,60,170)\"],[.375,\"rgb(5,255,255)\"],[.625,\"rgb(255,255,0)\"],[.875,\"rgb(250,0,0)\"],[1,\"rgb(128,0,0)\"]],Hot:[[0,\"rgb(0,0,0)\"],[.3,\"rgb(230,0,0)\"],[.6,\"rgb(255,210,0)\"],[1,\"rgb(255,255,255)\"]],Blackbody:[[0,\"rgb(0,0,0)\"],[.2,\"rgb(230,0,0)\"],[.4,\"rgb(230,210,0)\"],[.7,\"rgb(255,255,255)\"],[1,\"rgb(160,200,255)\"]],Earth:[[0,\"rgb(0,0,130)\"],[.1,\"rgb(0,180,180)\"],[.2,\"rgb(40,210,40)\"],[.4,\"rgb(230,230,50)\"],[.6,\"rgb(120,70,20)\"],[1,\"rgb(255,255,255)\"]],Electric:[[0,\"rgb(0,0,0)\"],[.15,\"rgb(30,0,100)\"],[.4,\"rgb(120,0,100)\"],[.6,\"rgb(160,90,0)\"],[.8,\"rgb(230,200,0)\"],[1,\"rgb(255,250,220)\"]],Viridis:[[0,\"#440154\"],[.06274509803921569,\"#48186a\"],[.12549019607843137,\"#472d7b\"],[.18823529411764706,\"#424086\"],[.25098039215686274,\"#3b528b\"],[.3137254901960784,\"#33638d\"],[.3764705882352941,\"#2c728e\"],[.4392156862745098,\"#26828e\"],[.5019607843137255,\"#21918c\"],[.5647058823529412,\"#1fa088\"],[.6274509803921569,\"#28ae80\"],[.6901960784313725,\"#3fbc73\"],[.7529411764705882,\"#5ec962\"],[.8156862745098039,\"#84d44b\"],[.8784313725490196,\"#addc30\"],[.9411764705882353,\"#d8e219\"],[1,\"#fde725\"]],Cividis:[[0,\"rgb(0,32,76)\"],[.058824,\"rgb(0,42,102)\"],[.117647,\"rgb(0,52,110)\"],[.176471,\"rgb(39,63,108)\"],[.235294,\"rgb(60,74,107)\"],[.294118,\"rgb(76,85,107)\"],[.352941,\"rgb(91,95,109)\"],[.411765,\"rgb(104,106,112)\"],[.470588,\"rgb(117,117,117)\"],[.529412,\"rgb(131,129,120)\"],[.588235,\"rgb(146,140,120)\"],[.647059,\"rgb(161,152,118)\"],[.705882,\"rgb(176,165,114)\"],[.764706,\"rgb(192,177,109)\"],[.823529,\"rgb(209,191,102)\"],[.882353,\"rgb(225,204,92)\"],[.941176,\"rgb(243,219,79)\"],[1,\"rgb(255,233,69)\"]]},a=i.RdBu;function o(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var i=t[r];if(2!==i.length||+i[0]<e||!n(i[1]).isValid())return!1;e=+i[0]}return!0}e.exports={scales:i,defaultScale:a,get:function(t,e){if(e||(e=a),!t)return e;function r(){try{t=i[t]||JSON.parse(t)}catch(r){t=e}}return\"string\"==typeof t&&(r(),\"string\"==typeof t&&r()),o(t)?t:e},isValid:function(t){return void 0!==i[t]||o(t)}}},{tinycolor2:594}],678:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=(t-r)/(n-r),o=a+e/(n-r),s=(a+o)/2;return\"left\"===i||\"bottom\"===i?a:\"center\"===i||\"middle\"===i?s:\"right\"===i||\"top\"===i?o:a<2/3-s?a:o>4/3-s?o:s}},{}],679:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=[[\"sw-resize\",\"s-resize\",\"se-resize\"],[\"w-resize\",\"move\",\"e-resize\"],[\"nw-resize\",\"n-resize\",\"ne-resize\"]];e.exports=function(t,e,r,a){return t=\"left\"===r?0:\"center\"===r?1:\"right\"===r?2:n.constrain(Math.floor(3*t),0,2),e=\"bottom\"===a?0:\"middle\"===a?1:\"top\"===a?2:n.constrain(Math.floor(3*e),0,2),i[e][t]}},{\"../../lib\":799}],680:[function(t,e,r){\"use strict\";r.selectMode=function(t){return\"lasso\"===t||\"select\"===t},r.drawMode=function(t){return\"drawclosedpath\"===t||\"drawopenpath\"===t||\"drawline\"===t||\"drawrect\"===t||\"drawcircle\"===t},r.openMode=function(t){return\"drawline\"===t||\"drawopenpath\"===t},r.rectMode=function(t){return\"select\"===t||\"drawline\"===t||\"drawrect\"===t||\"drawcircle\"===t},r.freeMode=function(t){return\"lasso\"===t||\"drawclosedpath\"===t||\"drawopenpath\"===t},r.selectingOrDrawing=function(t){return r.freeMode(t)||r.rectMode(t)}},{}],681:[function(t,e,r){\"use strict\";var n=t(\"mouse-event-offset\"),i=t(\"has-hover\"),a=t(\"has-passive-events\"),o=t(\"../../lib\").removeElement,s=t(\"../../plots/cartesian/constants\"),l=e.exports={};l.align=t(\"./align\"),l.getCursor=t(\"./cursor\");var c=t(\"./unhover\");function u(){var t=document.createElement(\"div\");t.className=\"dragcover\";var e=t.style;return e.position=\"fixed\",e.left=0,e.right=0,e.top=0,e.bottom=0,e.zIndex=999999999,e.background=\"none\",document.body.appendChild(t),t}function f(t){return n(t.changedTouches?t.changedTouches[0]:t,document.body)}l.unhover=c.wrapped,l.unhoverRaw=c.raw,l.init=function(t){var e,r,n,c,h,p,d,m,g=t.gd,v=1,y=g._context.doubleClickDelay,x=t.element;g._mouseDownTime||(g._mouseDownTime=0),x.style.pointerEvents=\"all\",x.onmousedown=_,a?(x._ontouchstart&&x.removeEventListener(\"touchstart\",x._ontouchstart),x._ontouchstart=_,x.addEventListener(\"touchstart\",_,{passive:!1})):x.ontouchstart=_;var b=t.clampFn||function(t,e,r){return Math.abs(t)<r&&(t=0),Math.abs(e)<r&&(e=0),[t,e]};function _(a){g._dragged=!1,g._dragging=!0;var o=f(a);e=o[0],r=o[1],d=a.target,p=a,m=2===a.buttons||a.ctrlKey,void 0===a.clientX&&void 0===a.clientY&&(a.clientX=e,a.clientY=r),(n=(new Date).getTime())-g._mouseDownTime<y?v+=1:(v=1,g._mouseDownTime=n),t.prepFn&&t.prepFn(a,e,r),i&&!m?(h=u()).style.cursor=window.getComputedStyle(x).cursor:i||(h=document,c=window.getComputedStyle(document.documentElement).cursor,document.documentElement.style.cursor=window.getComputedStyle(x).cursor),document.addEventListener(\"mouseup\",T),document.addEventListener(\"touchend\",T),!1!==t.dragmode&&(a.preventDefault(),document.addEventListener(\"mousemove\",w),document.addEventListener(\"touchmove\",w,{passive:!1}))}function w(n){n.preventDefault();var i=f(n),a=t.minDrag||s.MINDRAG,o=b(i[0]-e,i[1]-r,a),c=o[0],u=o[1];(c||u)&&(g._dragged=!0,l.unhover(g,n)),g._dragged&&t.moveFn&&!m&&(g._dragdata={element:x,dx:c,dy:u},t.moveFn(c,u))}function T(e){if(delete g._dragdata,!1!==t.dragmode&&(e.preventDefault(),document.removeEventListener(\"mousemove\",w),document.removeEventListener(\"touchmove\",w)),document.removeEventListener(\"mouseup\",T),document.removeEventListener(\"touchend\",T),i?o(h):c&&(h.documentElement.style.cursor=c,c=null),g._dragging){if(g._dragging=!1,(new Date).getTime()-g._mouseDownTime>y&&(v=Math.max(v-1,1)),g._dragged)t.doneFn&&t.doneFn();else if(t.clickFn&&t.clickFn(v,p),!m){var r;try{r=new MouseEvent(\"click\",e)}catch(t){var n=f(e);(r=document.createEvent(\"MouseEvents\")).initMouseEvent(\"click\",e.bubbles,e.cancelable,e.view,e.detail,e.screenX,e.screenY,n[0],n[1],e.ctrlKey,e.altKey,e.shiftKey,e.metaKey,e.button,e.relatedTarget)}d.dispatchEvent(r)}g._dragging=!1,g._dragged=!1}else g._dragged=!1}},l.coverSlip=u},{\"../../lib\":799,\"../../plots/cartesian/constants\":856,\"./align\":678,\"./cursor\":679,\"./unhover\":682,\"has-hover\":439,\"has-passive-events\":440,\"mouse-event-offset\":467}],682:[function(t,e,r){\"use strict\";var n=t(\"../../lib/events\"),i=t(\"../../lib/throttle\"),a=t(\"../../lib/dom\").getGraphDiv,o=t(\"../fx/constants\"),s=e.exports={};s.wrapped=function(t,e,r){(t=a(t))._fullLayout&&i.clear(t._fullLayout._uid+o.HOVERID),s.raw(t,e,r)},s.raw=function(t,e){var r=t._fullLayout,i=t._hoverdata;e||(e={}),e.target&&!t._dragged&&!1===n.triggerHandler(t,\"plotly_beforehover\",e)||(r._hoverlayer.selectAll(\"g\").remove(),r._hoverlayer.selectAll(\"line\").remove(),r._hoverlayer.selectAll(\"circle\").remove(),t._hoverdata=void 0,e.target&&i&&t.emit(\"plotly_unhover\",{event:e,points:i}))}},{\"../../lib/dom\":787,\"../../lib/events\":788,\"../../lib/throttle\":825,\"../fx/constants\":696}],683:[function(t,e,r){\"use strict\";r.dash={valType:\"string\",values:[\"solid\",\"dot\",\"dash\",\"longdash\",\"dashdot\",\"longdashdot\"],dflt:\"solid\",editType:\"style\"},r.pattern={shape:{valType:\"enumerated\",values:[\"\",\"/\",\"\\\\\",\"x\",\"-\",\"|\",\"+\",\".\"],dflt:\"\",arrayOk:!0,editType:\"style\"},fillmode:{valType:\"enumerated\",values:[\"replace\",\"overlay\"],dflt:\"replace\",editType:\"style\"},bgcolor:{valType:\"color\",arrayOk:!0,editType:\"style\"},fgcolor:{valType:\"color\",arrayOk:!0,editType:\"style\"},fgopacity:{valType:\"number\",editType:\"style\",min:0,max:1},size:{valType:\"number\",min:0,dflt:8,arrayOk:!0,editType:\"style\"},solidity:{valType:\"number\",min:0,max:1,dflt:.3,arrayOk:!0,editType:\"style\"},editType:\"style\"}},{}],684:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),o=t(\"../../registry\"),s=t(\"../color\"),l=t(\"../colorscale\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../../constants/xmlns_namespaces\"),p=t(\"../../constants/alignment\").LINE_SPACING,d=t(\"../../constants/interactions\").DESELECTDIM,m=t(\"../../traces/scatter/subtypes\"),g=t(\"../../traces/scatter/make_bubble_size_func\"),v=t(\"../../components/fx/helpers\").appendArrayPointValue,y=e.exports={};y.font=function(t,e,r,n){c.isPlainObject(e)&&(n=e.color,r=e.size,e=e.family),e&&t.style(\"font-family\",e),r+1&&t.style(\"font-size\",r+\"px\"),n&&t.call(s.fill,n)},y.setPosition=function(t,e,r){t.attr(\"x\",e).attr(\"y\",r)},y.setSize=function(t,e,r){t.attr(\"width\",e).attr(\"height\",r)},y.setRect=function(t,e,r,n,i){t.call(y.setPosition,e,r).call(y.setSize,n,i)},y.translatePoint=function(t,e,r,n){var a=r.c2p(t.x),o=n.c2p(t.y);return!!(i(a)&&i(o)&&e.node())&&(\"text\"===e.node().nodeName?e.attr(\"x\",a).attr(\"y\",o):e.attr(\"transform\",u(a,o)),!0)},y.translatePoints=function(t,e,r){t.each((function(t){var i=n.select(this);y.translatePoint(t,i,e,r)}))},y.hideOutsideRangePoint=function(t,e,r,n,i,a){e.attr(\"display\",r.isPtWithinRange(t,i)&&n.isPtWithinRange(t,a)?null:\"none\")},y.hideOutsideRangePoints=function(t,e){if(e._hasClipOnAxisFalse){var r=e.xaxis,i=e.yaxis;t.each((function(e){var a=e[0].trace,s=a.xcalendar,l=a.ycalendar,c=o.traceIs(a,\"bar-like\")?\".bartext\":\".point,.textpoint\";t.selectAll(c).each((function(t){y.hideOutsideRangePoint(t,n.select(this),r,i,s,l)}))}))}},y.crispRound=function(t,e,r){return e&&i(e)?t._context.staticPlot?e:e<1?1:Math.round(e):r||0},y.singleLineStyle=function(t,e,r,n,i){e.style(\"fill\",\"none\");var a=(((t||[])[0]||{}).trace||{}).line||{},o=r||a.width||0,l=i||a.dash||\"\";s.stroke(e,n||a.color),y.dashLine(e,l,o)},y.lineGroupStyle=function(t,e,r,i){t.style(\"fill\",\"none\").each((function(t){var a=(((t||[])[0]||{}).trace||{}).line||{},o=e||a.width||0,l=i||a.dash||\"\";n.select(this).call(s.stroke,r||a.color).call(y.dashLine,l,o)}))},y.dashLine=function(t,e,r){r=+r||0,e=y.dashStyle(e,r),t.style({\"stroke-dasharray\":e,\"stroke-width\":r+\"px\"})},y.dashStyle=function(t,e){e=+e||1;var r=Math.max(e,3);return\"solid\"===t?t=\"\":\"dot\"===t?t=r+\"px,\"+r+\"px\":\"dash\"===t?t=3*r+\"px,\"+3*r+\"px\":\"longdash\"===t?t=5*r+\"px,\"+5*r+\"px\":\"dashdot\"===t?t=3*r+\"px,\"+r+\"px,\"+r+\"px,\"+r+\"px\":\"longdashdot\"===t&&(t=5*r+\"px,\"+2*r+\"px,\"+r+\"px,\"+2*r+\"px\"),t},y.singleFillStyle=function(t){var e=(((n.select(t.node()).data()[0]||[])[0]||{}).trace||{}).fillcolor;e&&t.call(s.fill,e)},y.fillGroupStyle=function(t){t.style(\"stroke-width\",0).each((function(t){var e=n.select(this);t[0].trace&&e.call(s.fill,t[0].trace.fillcolor)}))};var x=t(\"./symbol_defs\");y.symbolNames=[],y.symbolFuncs=[],y.symbolNeedLines={},y.symbolNoDot={},y.symbolNoFill={},y.symbolList=[],Object.keys(x).forEach((function(t){var e=x[t],r=e.n;y.symbolList.push(r,String(r),t,r+100,String(r+100),t+\"-open\"),y.symbolNames[r]=t,y.symbolFuncs[r]=e.f,e.needLine&&(y.symbolNeedLines[r]=!0),e.noDot?y.symbolNoDot[r]=!0:y.symbolList.push(r+200,String(r+200),t+\"-dot\",r+300,String(r+300),t+\"-open-dot\"),e.noFill&&(y.symbolNoFill[r]=!0)}));var b=y.symbolNames.length;function _(t,e){var r=t%100;return y.symbolFuncs[r](e)+(t>=200?\"M0,0.5L0.5,0L0,-0.5L-0.5,0Z\":\"\")}y.symbolNumber=function(t){if(i(t))t=+t;else if(\"string\"==typeof t){var e=0;t.indexOf(\"-open\")>0&&(e=100,t=t.replace(\"-open\",\"\")),t.indexOf(\"-dot\")>0&&(e+=200,t=t.replace(\"-dot\",\"\")),(t=y.symbolNames.indexOf(t))>=0&&(t+=e)}return t%100>=b||t>=400?0:Math.floor(Math.max(t,0))};var w={x1:1,x2:0,y1:0,y2:0},T={x1:0,x2:0,y1:1,y2:0},k=n.format(\"~.1f\"),M={radial:{node:\"radialGradient\"},radialreversed:{node:\"radialGradient\",reversed:!0},horizontal:{node:\"linearGradient\",attrs:w},horizontalreversed:{node:\"linearGradient\",attrs:w,reversed:!0},vertical:{node:\"linearGradient\",attrs:T},verticalreversed:{node:\"linearGradient\",attrs:T,reversed:!0}};y.gradient=function(t,e,r,i,o,l){for(var u=o.length,f=M[i],h=new Array(u),p=0;p<u;p++)f.reversed?h[u-1-p]=[k(100*(1-o[p][0])),o[p][1]]:h[p]=[k(100*o[p][0]),o[p][1]];var d=e._fullLayout,m=\"g\"+d._uid+\"-\"+r,g=d._defs.select(\".gradients\").selectAll(\"#\"+m).data([i+h.join(\";\")],c.identity);g.exit().remove(),g.enter().append(f.node).each((function(){var t=n.select(this);f.attrs&&t.attr(f.attrs),t.attr(\"id\",m);var e=t.selectAll(\"stop\").data(h);e.exit().remove(),e.enter().append(\"stop\"),e.each((function(t){var e=a(t[1]);n.select(this).attr({offset:t[0]+\"%\",\"stop-color\":s.tinyRGB(e),\"stop-opacity\":e.getAlpha()})}))})),t.style(l,z(m,e)).style(l+\"-opacity\",null);var v=function(t){return\".\"+t.attr(\"class\").replace(/\\s/g,\".\")},y=v(n.select(t.node().parentNode))+\">\"+v(t);d._gradientUrlQueryParts[y]=1},y.pattern=function(t,e,r,i,a,o,l,u,f,h,p,d){var m=\"legend\"===e;u&&(\"overlay\"===f?(h=u,p=s.contrast(h)):(h=void 0,p=u));var g,v,y,x,b,_,w,T,k,M,A,S=r._fullLayout,E=\"p\"+S._uid+\"-\"+i,L={};switch(a){case\"/\":g=o*Math.sqrt(2),v=o*Math.sqrt(2),_=\"path\",L={d:y=\"M-\"+g/4+\",\"+v/4+\"l\"+g/2+\",-\"+v/2+\"M0,\"+v+\"L\"+g+\",0M\"+g/4*3+\",\"+v/4*5+\"l\"+g/2+\",-\"+v/2,opacity:d,stroke:p,\"stroke-width\":(x=l*o)+\"px\"};break;case\"\\\\\":g=o*Math.sqrt(2),v=o*Math.sqrt(2),_=\"path\",L={d:y=\"M\"+g/4*3+\",-\"+v/4+\"l\"+g/2+\",\"+v/2+\"M0,0L\"+g+\",\"+v+\"M-\"+g/4+\",\"+v/4*3+\"l\"+g/2+\",\"+v/2,opacity:d,stroke:p,\"stroke-width\":(x=l*o)+\"px\"};break;case\"x\":g=o*Math.sqrt(2),v=o*Math.sqrt(2),y=\"M-\"+g/4+\",\"+v/4+\"l\"+g/2+\",-\"+v/2+\"M0,\"+v+\"L\"+g+\",0M\"+g/4*3+\",\"+v/4*5+\"l\"+g/2+\",-\"+v/2+\"M\"+g/4*3+\",-\"+v/4+\"l\"+g/2+\",\"+v/2+\"M0,0L\"+g+\",\"+v+\"M-\"+g/4+\",\"+v/4*3+\"l\"+g/2+\",\"+v/2,x=o-o*Math.sqrt(1-l),_=\"path\",L={d:y,opacity:d,stroke:p,\"stroke-width\":x+\"px\"};break;case\"|\":_=\"path\",_=\"path\",L={d:y=\"M\"+(g=o)/2+\",0L\"+g/2+\",\"+(v=o),opacity:d,stroke:p,\"stroke-width\":(x=l*o)+\"px\"};break;case\"-\":_=\"path\",_=\"path\",L={d:y=\"M0,\"+(v=o)/2+\"L\"+(g=o)+\",\"+v/2,opacity:d,stroke:p,\"stroke-width\":(x=l*o)+\"px\"};break;case\"+\":_=\"path\",y=\"M\"+(g=o)/2+\",0L\"+g/2+\",\"+(v=o)+\"M0,\"+v/2+\"L\"+g+\",\"+v/2,x=o-o*Math.sqrt(1-l),_=\"path\",L={d:y,opacity:d,stroke:p,\"stroke-width\":x+\"px\"};break;case\".\":g=o,v=o,l<Math.PI/4?b=Math.sqrt(l*o*o/Math.PI):(w=l,T=Math.PI/4,k=1,M=o/2,A=o/Math.sqrt(2),b=M+(A-M)*(w-T)/(k-T)),_=\"circle\",L={cx:g/2,cy:v/2,r:b,opacity:d,fill:p}}var C=[a||\"noSh\",h||\"noBg\",p||\"noFg\",o,l].join(\";\"),P=S._defs.select(\".patterns\").selectAll(\"#\"+E).data([C],c.identity);P.exit().remove(),P.enter().append(\"pattern\").each((function(){var t=n.select(this);if(t.attr({id:E,width:g+\"px\",height:v+\"px\",patternUnits:\"userSpaceOnUse\",patternTransform:m?\"scale(0.8)\":\"\"}),h){var e=t.selectAll(\"rect\").data([0]);e.exit().remove(),e.enter().append(\"rect\").attr({width:g+\"px\",height:v+\"px\",fill:h})}var r=t.selectAll(_).data([0]);r.exit().remove(),r.enter().append(_).attr(L)})),t.style(\"fill\",z(E,r)).style(\"fill-opacity\",null),t.classed(\"pattern_filled\",!0);var I=\".\"+n.select(t.node().parentNode).attr(\"class\").replace(/\\s/g,\".\")+\">.pattern_filled\";S._patternUrlQueryParts[I]=1},y.initGradients=function(t){var e=t._fullLayout;c.ensureSingle(e._defs,\"g\",\"gradients\").selectAll(\"linearGradient,radialGradient\").remove(),e._gradientUrlQueryParts={}},y.initPatterns=function(t){var e=t._fullLayout;c.ensureSingle(e._defs,\"g\",\"patterns\").selectAll(\"pattern\").remove(),e._patternUrlQueryParts={}},y.getPatternAttr=function(t,e,r){return t&&c.isArrayOrTypedArray(t)?e<t.length?t[e]:r:t},y.pointStyle=function(t,e,r){if(t.size()){var i=y.makePointStyleFns(e);t.each((function(t){y.singlePointStyle(t,n.select(this),e,i,r)}))}},y.singlePointStyle=function(t,e,r,n,i){var a=r.marker,o=a.line;if(e.style(\"opacity\",n.selectedOpacityFn?n.selectedOpacityFn(t):void 0===t.mo?a.opacity:t.mo),n.ms2mrc){var l;l=\"various\"===t.ms||\"various\"===a.size?3:n.ms2mrc(t.ms),t.mrc=l,n.selectedSizeFn&&(l=t.mrc=n.selectedSizeFn(t));var u=y.symbolNumber(t.mx||a.symbol)||0;t.om=u%200>=100,e.attr(\"d\",_(u,l))}var f,h,p,d=!1;if(t.so)p=o.outlierwidth,h=o.outliercolor,f=a.outliercolor;else{var m=(o||{}).width;p=(t.mlw+1||m+1||(t.trace?(t.trace.marker.line||{}).width:0)+1)-1||0,h=\"mlc\"in t?t.mlcc=n.lineScale(t.mlc):c.isArrayOrTypedArray(o.color)?s.defaultLine:o.color,c.isArrayOrTypedArray(a.color)&&(f=s.defaultLine,d=!0),f=\"mc\"in t?t.mcc=n.markerScale(t.mc):a.color||\"rgba(0,0,0,0)\",n.selectedColorFn&&(f=n.selectedColorFn(t))}if(t.om)e.call(s.stroke,f).style({\"stroke-width\":(p||1)+\"px\",fill:\"none\"});else{e.style(\"stroke-width\",(t.isBlank?0:p)+\"px\");var g=a.gradient,v=t.mgt;v?d=!0:v=g&&g.type,c.isArrayOrTypedArray(v)&&(v=v[0],M[v]||(v=0));var x=a.pattern,b=x&&y.getPatternAttr(x.shape,t.i,\"\");if(v&&\"none\"!==v){var w=t.mgc;w?d=!0:w=g.color;var T=r.uid;d&&(T+=\"-\"+t.i),y.gradient(e,i,T,v,[[0,w],[1,f]],\"fill\")}else if(b){var k=y.getPatternAttr(x.bgcolor,t.i,null),A=y.getPatternAttr(x.fgcolor,t.i,null),S=x.fgopacity,E=y.getPatternAttr(x.size,t.i,8),L=y.getPatternAttr(x.solidity,t.i,.3),C=t.mcc||c.isArrayOrTypedArray(x.shape)||c.isArrayOrTypedArray(x.bgcolor)||c.isArrayOrTypedArray(x.size)||c.isArrayOrTypedArray(x.solidity),P=r.uid;C&&(P+=\"-\"+t.i),y.pattern(e,\"point\",i,P,b,E,L,t.mcc,x.fillmode,k,A,S)}else s.fill(e,f);p&&s.stroke(e,h)}},y.makePointStyleFns=function(t){var e={},r=t.marker;return e.markerScale=y.tryColorscale(r,\"\"),e.lineScale=y.tryColorscale(r,\"line\"),o.traceIs(t,\"symbols\")&&(e.ms2mrc=m.isBubble(t)?g(t):function(){return(r.size||6)/2}),t.selectedpoints&&c.extendFlat(e,y.makeSelectedPointStyleFns(t)),e},y.makeSelectedPointStyleFns=function(t){var e={},r=t.selected||{},n=t.unselected||{},i=t.marker||{},a=r.marker||{},s=n.marker||{},l=i.opacity,u=a.opacity,f=s.opacity,h=void 0!==u,p=void 0!==f;(c.isArrayOrTypedArray(l)||h||p)&&(e.selectedOpacityFn=function(t){var e=void 0===t.mo?i.opacity:t.mo;return t.selected?h?u:e:p?f:d*e});var m=i.color,g=a.color,v=s.color;(g||v)&&(e.selectedColorFn=function(t){var e=t.mcc||m;return t.selected?g||e:v||e});var y=i.size,x=a.size,b=s.size,_=void 0!==x,w=void 0!==b;return o.traceIs(t,\"symbols\")&&(_||w)&&(e.selectedSizeFn=function(t){var e=t.mrc||y/2;return t.selected?_?x/2:e:w?b/2:e}),e},y.makeSelectedTextStyleFns=function(t){var e={},r=t.selected||{},n=t.unselected||{},i=t.textfont||{},a=r.textfont||{},o=n.textfont||{},l=i.color,c=a.color,u=o.color;return e.selectedTextColorFn=function(t){var e=t.tc||l;return t.selected?c||e:u||(c?e:s.addOpacity(e,d))},e},y.selectedPointStyle=function(t,e){if(t.size()&&e.selectedpoints){var r=y.makeSelectedPointStyleFns(e),i=e.marker||{},a=[];r.selectedOpacityFn&&a.push((function(t,e){t.style(\"opacity\",r.selectedOpacityFn(e))})),r.selectedColorFn&&a.push((function(t,e){s.fill(t,r.selectedColorFn(e))})),r.selectedSizeFn&&a.push((function(t,e){var n=e.mx||i.symbol||0,a=r.selectedSizeFn(e);t.attr(\"d\",_(y.symbolNumber(n),a)),e.mrc2=a})),a.length&&t.each((function(t){for(var e=n.select(this),r=0;r<a.length;r++)a[r](e,t)}))}},y.tryColorscale=function(t,e){var r=e?c.nestedProperty(t,e).get():t;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&c.isArrayOrTypedArray(n))return l.makeColorScaleFuncFromTrace(r)}return c.identity};var A={start:1,end:-1,middle:0,bottom:1,top:-1};function S(t,e,r,i){var a=n.select(t.node().parentNode),o=-1!==e.indexOf(\"top\")?\"top\":-1!==e.indexOf(\"bottom\")?\"bottom\":\"middle\",s=-1!==e.indexOf(\"left\")?\"end\":-1!==e.indexOf(\"right\")?\"start\":\"middle\",l=i?i/.8+1:0,c=(f.lineCount(t)-1)*p+1,h=A[s]*l,d=.75*r+A[o]*l+(A[o]-1)*c*r/2;t.attr(\"text-anchor\",s),a.attr(\"transform\",u(h,d))}function E(t,e){var r=t.ts||e.textfont.size;return i(r)&&r>0?r:0}y.textPointStyle=function(t,e,r){if(t.size()){var i;if(e.selectedpoints){var a=y.makeSelectedTextStyleFns(e);i=a.selectedTextColorFn}var o=e.texttemplate,s=r._fullLayout;t.each((function(t){var a=n.select(this),l=o?c.extractOption(t,e,\"txt\",\"texttemplate\"):c.extractOption(t,e,\"tx\",\"text\");if(l||0===l){if(o){var u=e._module.formatLabels,h=u?u(t,e,s):{},p={};v(p,e,t.i);var d=e._meta||{};l=c.texttemplateString(l,h,s._d3locale,p,t,d)}var m=t.tp||e.textposition,g=E(t,e),x=i?i(t):t.tc||e.textfont.color;a.call(y.font,t.tf||e.textfont.family,g,x).text(l).call(f.convertToTspans,r).call(S,m,g,t.mrc)}else a.remove()}))}},y.selectedTextStyle=function(t,e){if(t.size()&&e.selectedpoints){var r=y.makeSelectedTextStyleFns(e);t.each((function(t){var i=n.select(this),a=r.selectedTextColorFn(t),o=t.tp||e.textposition,l=E(t,e);s.fill(i,a),S(i,o,l,t.mrc2||t.mrc)}))}};function L(t,e,r,i){var a=t[0]-e[0],o=t[1]-e[1],s=r[0]-e[0],l=r[1]-e[1],c=Math.pow(a*a+o*o,.25),u=Math.pow(s*s+l*l,.25),f=(u*u*a-c*c*s)*i,h=(u*u*o-c*c*l)*i,p=3*u*(c+u),d=3*c*(c+u);return[[n.round(e[0]+(p&&f/p),2),n.round(e[1]+(p&&h/p),2)],[n.round(e[0]-(d&&f/d),2),n.round(e[1]-(d&&h/d),2)]]}y.smoothopen=function(t,e){if(t.length<3)return\"M\"+t.join(\"L\");var r,n=\"M\"+t[0],i=[];for(r=1;r<t.length-1;r++)i.push(L(t[r-1],t[r],t[r+1],e));for(n+=\"Q\"+i[0][0]+\" \"+t[1],r=2;r<t.length-1;r++)n+=\"C\"+i[r-2][1]+\" \"+i[r-1][0]+\" \"+t[r];return n+=\"Q\"+i[t.length-3][1]+\" \"+t[t.length-1]},y.smoothclosed=function(t,e){if(t.length<3)return\"M\"+t.join(\"L\")+\"Z\";var r,n=\"M\"+t[0],i=t.length-1,a=[L(t[i],t[0],t[1],e)];for(r=1;r<i;r++)a.push(L(t[r-1],t[r],t[r+1],e));for(a.push(L(t[i-1],t[i],t[0],e)),r=1;r<=i;r++)n+=\"C\"+a[r-1][1]+\" \"+a[r][0]+\" \"+t[r];return n+=\"C\"+a[i][1]+\" \"+a[0][0]+\" \"+t[0]+\"Z\"};var C={hv:function(t,e){return\"H\"+n.round(e[0],2)+\"V\"+n.round(e[1],2)},vh:function(t,e){return\"V\"+n.round(e[1],2)+\"H\"+n.round(e[0],2)},hvh:function(t,e){return\"H\"+n.round((t[0]+e[0])/2,2)+\"V\"+n.round(e[1],2)+\"H\"+n.round(e[0],2)},vhv:function(t,e){return\"V\"+n.round((t[1]+e[1])/2,2)+\"H\"+n.round(e[0],2)+\"V\"+n.round(e[1],2)}},P=function(t,e){return\"L\"+n.round(e[0],2)+\",\"+n.round(e[1],2)};y.steps=function(t){var e=C[t]||P;return function(t){for(var r=\"M\"+n.round(t[0][0],2)+\",\"+n.round(t[0][1],2),i=1;i<t.length;i++)r+=e(t[i-1],t[i]);return r}},y.makeTester=function(){var t=c.ensureSingleById(n.select(\"body\"),\"svg\",\"js-plotly-tester\",(function(t){t.attr(h.svgAttrs).style({position:\"absolute\",left:\"-10000px\",top:\"-10000px\",width:\"9000px\",height:\"9000px\",\"z-index\":\"1\"})})),e=c.ensureSingle(t,\"path\",\"js-reference-point\",(function(t){t.attr(\"d\",\"M0,0H1V1H0Z\").style({\"stroke-width\":0,fill:\"black\"})}));y.tester=t,y.testref=e},y.savedBBoxes={};var I=0;function O(t){var e=t.getAttribute(\"data-unformatted\");if(null!==e)return e+t.getAttribute(\"data-math\")+t.getAttribute(\"text-anchor\")+t.getAttribute(\"style\")}function z(t,e){if(!t)return null;var r=e._context,n=r._exportedPlot?\"\":r._baseUrl||\"\";return n?\"url('\"+n+\"#\"+t+\"')\":\"url(#\"+t+\")\"}y.bBox=function(t,e,r){var i,a,o;if(r||(r=O(t)),r){if(i=y.savedBBoxes[r])return c.extendFlat({},i)}else if(1===t.childNodes.length){var s=t.childNodes[0];if(r=O(s)){var l=+s.getAttribute(\"x\")||0,u=+s.getAttribute(\"y\")||0,h=s.getAttribute(\"transform\");if(!h){var p=y.bBox(s,!1,r);return l&&(p.left+=l,p.right+=l),u&&(p.top+=u,p.bottom+=u),p}if(r+=\"~\"+l+\"~\"+u+\"~\"+h,i=y.savedBBoxes[r])return c.extendFlat({},i)}}e?a=t:(o=y.tester.node(),a=t.cloneNode(!0),o.appendChild(a)),n.select(a).attr(\"transform\",null).call(f.positionText,0,0);var d=a.getBoundingClientRect(),m=y.testref.node().getBoundingClientRect();e||o.removeChild(a);var g={height:d.height,width:d.width,left:d.left-m.left,top:d.top-m.top,right:d.right-m.left,bottom:d.bottom-m.top};return I>=1e4&&(y.savedBBoxes={},I=0),r&&(y.savedBBoxes[r]=g),I++,c.extendFlat({},g)},y.setClipUrl=function(t,e,r){t.attr(\"clip-path\",z(e,r))},y.getTranslate=function(t){var e=(t[t.attr?\"attr\":\"getAttribute\"](\"transform\")||\"\").replace(/.*\\btranslate\\((-?\\d*\\.?\\d*)[^-\\d]*(-?\\d*\\.?\\d*)[^\\d].*/,(function(t,e,r){return[e,r].join(\" \")})).split(\" \");return{x:+e[0]||0,y:+e[1]||0}},y.setTranslate=function(t,e,r){var n=t.attr?\"attr\":\"getAttribute\",i=t.attr?\"attr\":\"setAttribute\",a=t[n](\"transform\")||\"\";return e=e||0,r=r||0,a=a.replace(/(\\btranslate\\(.*?\\);?)/,\"\").trim(),a=(a+=u(e,r)).trim(),t[i](\"transform\",a),a},y.getScale=function(t){var e=(t[t.attr?\"attr\":\"getAttribute\"](\"transform\")||\"\").replace(/.*\\bscale\\((\\d*\\.?\\d*)[^\\d]*(\\d*\\.?\\d*)[^\\d].*/,(function(t,e,r){return[e,r].join(\" \")})).split(\" \");return{x:+e[0]||1,y:+e[1]||1}},y.setScale=function(t,e,r){var n=t.attr?\"attr\":\"getAttribute\",i=t.attr?\"attr\":\"setAttribute\",a=t[n](\"transform\")||\"\";return e=e||1,r=r||1,a=a.replace(/(\\bscale\\(.*?\\);?)/,\"\").trim(),a=(a+=\"scale(\"+e+\",\"+r+\")\").trim(),t[i](\"transform\",a),a};var D=/\\s*sc.*/;y.setPointGroupScale=function(t,e,r){if(e=e||1,r=r||1,t){var n=1===e&&1===r?\"\":\"scale(\"+e+\",\"+r+\")\";t.each((function(){var t=(this.getAttribute(\"transform\")||\"\").replace(D,\"\");t=(t+=n).trim(),this.setAttribute(\"transform\",t)}))}};var R=/translate\\([^)]*\\)\\s*$/;y.setTextPointsScale=function(t,e,r){t&&t.each((function(){var t,i=n.select(this),a=i.select(\"text\");if(a.node()){var o=parseFloat(a.attr(\"x\")||0),s=parseFloat(a.attr(\"y\")||0),l=(i.attr(\"transform\")||\"\").match(R);t=1===e&&1===r?[]:[u(o,s),\"scale(\"+e+\",\"+r+\")\",u(-o,-s)],l&&t.push(l),i.attr(\"transform\",t.join(\"\"))}}))}},{\"../../components/fx/helpers\":698,\"../../constants/alignment\":767,\"../../constants/interactions\":774,\"../../constants/xmlns_namespaces\":776,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../registry\":927,\"../../traces/scatter/make_bubble_size_func\":1231,\"../../traces/scatter/subtypes\":1239,\"../color\":662,\"../colorscale\":674,\"./symbol_defs\":685,\"@plotly/d3\":58,\"fast-isnumeric\":245,tinycolor2:594}],685:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\");e.exports={circle:{n:0,f:function(t){var e=n.round(t,2);return\"M\"+e+\",0A\"+e+\",\"+e+\" 0 1,1 0,-\"+e+\"A\"+e+\",\"+e+\" 0 0,1 \"+e+\",0Z\"}},square:{n:1,f:function(t){var e=n.round(t,2);return\"M\"+e+\",\"+e+\"H-\"+e+\"V-\"+e+\"H\"+e+\"Z\"}},diamond:{n:2,f:function(t){var e=n.round(1.3*t,2);return\"M\"+e+\",0L0,\"+e+\"L-\"+e+\",0L0,-\"+e+\"Z\"}},cross:{n:3,f:function(t){var e=n.round(.4*t,2),r=n.round(1.2*t,2);return\"M\"+r+\",\"+e+\"H\"+e+\"V\"+r+\"H-\"+e+\"V\"+e+\"H-\"+r+\"V-\"+e+\"H-\"+e+\"V-\"+r+\"H\"+e+\"V-\"+e+\"H\"+r+\"Z\"}},x:{n:4,f:function(t){var e=n.round(.8*t/Math.sqrt(2),2),r=\"l\"+e+\",\"+e,i=\"l\"+e+\",-\"+e,a=\"l-\"+e+\",-\"+e,o=\"l-\"+e+\",\"+e;return\"M0,\"+e+r+i+a+i+a+o+a+o+r+o+r+\"Z\"}},\"triangle-up\":{n:5,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return\"M-\"+e+\",\"+n.round(t/2,2)+\"H\"+e+\"L0,-\"+n.round(t,2)+\"Z\"}},\"triangle-down\":{n:6,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return\"M-\"+e+\",-\"+n.round(t/2,2)+\"H\"+e+\"L0,\"+n.round(t,2)+\"Z\"}},\"triangle-left\":{n:7,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return\"M\"+n.round(t/2,2)+\",-\"+e+\"V\"+e+\"L-\"+n.round(t,2)+\",0Z\"}},\"triangle-right\":{n:8,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return\"M-\"+n.round(t/2,2)+\",-\"+e+\"V\"+e+\"L\"+n.round(t,2)+\",0Z\"}},\"triangle-ne\":{n:9,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return\"M-\"+r+\",-\"+e+\"H\"+e+\"V\"+r+\"Z\"}},\"triangle-se\":{n:10,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return\"M\"+e+\",-\"+r+\"V\"+e+\"H-\"+r+\"Z\"}},\"triangle-sw\":{n:11,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return\"M\"+r+\",\"+e+\"H-\"+e+\"V-\"+r+\"Z\"}},\"triangle-nw\":{n:12,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return\"M-\"+e+\",\"+r+\"V-\"+e+\"H\"+r+\"Z\"}},pentagon:{n:13,f:function(t){var e=n.round(.951*t,2),r=n.round(.588*t,2),i=n.round(-t,2),a=n.round(-.309*t,2);return\"M\"+e+\",\"+a+\"L\"+r+\",\"+n.round(.809*t,2)+\"H-\"+r+\"L-\"+e+\",\"+a+\"L0,\"+i+\"Z\"}},hexagon:{n:14,f:function(t){var e=n.round(t,2),r=n.round(t/2,2),i=n.round(t*Math.sqrt(3)/2,2);return\"M\"+i+\",-\"+r+\"V\"+r+\"L0,\"+e+\"L-\"+i+\",\"+r+\"V-\"+r+\"L0,-\"+e+\"Z\"}},hexagon2:{n:15,f:function(t){var e=n.round(t,2),r=n.round(t/2,2),i=n.round(t*Math.sqrt(3)/2,2);return\"M-\"+r+\",\"+i+\"H\"+r+\"L\"+e+\",0L\"+r+\",-\"+i+\"H-\"+r+\"L-\"+e+\",0Z\"}},octagon:{n:16,f:function(t){var e=n.round(.924*t,2),r=n.round(.383*t,2);return\"M-\"+r+\",-\"+e+\"H\"+r+\"L\"+e+\",-\"+r+\"V\"+r+\"L\"+r+\",\"+e+\"H-\"+r+\"L-\"+e+\",\"+r+\"V-\"+r+\"Z\"}},star:{n:17,f:function(t){var e=1.4*t,r=n.round(.225*e,2),i=n.round(.951*e,2),a=n.round(.363*e,2),o=n.round(.588*e,2),s=n.round(-e,2),l=n.round(-.309*e,2),c=n.round(.118*e,2),u=n.round(.809*e,2);return\"M\"+r+\",\"+l+\"H\"+i+\"L\"+a+\",\"+c+\"L\"+o+\",\"+u+\"L0,\"+n.round(.382*e,2)+\"L-\"+o+\",\"+u+\"L-\"+a+\",\"+c+\"L-\"+i+\",\"+l+\"H-\"+r+\"L0,\"+s+\"Z\"}},hexagram:{n:18,f:function(t){var e=n.round(.66*t,2),r=n.round(.38*t,2),i=n.round(.76*t,2);return\"M-\"+i+\",0l-\"+r+\",-\"+e+\"h\"+i+\"l\"+r+\",-\"+e+\"l\"+r+\",\"+e+\"h\"+i+\"l-\"+r+\",\"+e+\"l\"+r+\",\"+e+\"h-\"+i+\"l-\"+r+\",\"+e+\"l-\"+r+\",-\"+e+\"h-\"+i+\"Z\"}},\"star-triangle-up\":{n:19,f:function(t){var e=n.round(t*Math.sqrt(3)*.8,2),r=n.round(.8*t,2),i=n.round(1.6*t,2),a=n.round(4*t,2),o=\"A \"+a+\",\"+a+\" 0 0 1 \";return\"M-\"+e+\",\"+r+o+e+\",\"+r+o+\"0,-\"+i+o+\"-\"+e+\",\"+r+\"Z\"}},\"star-triangle-down\":{n:20,f:function(t){var e=n.round(t*Math.sqrt(3)*.8,2),r=n.round(.8*t,2),i=n.round(1.6*t,2),a=n.round(4*t,2),o=\"A \"+a+\",\"+a+\" 0 0 1 \";return\"M\"+e+\",-\"+r+o+\"-\"+e+\",-\"+r+o+\"0,\"+i+o+e+\",-\"+r+\"Z\"}},\"star-square\":{n:21,f:function(t){var e=n.round(1.1*t,2),r=n.round(2*t,2),i=\"A \"+r+\",\"+r+\" 0 0 1 \";return\"M-\"+e+\",-\"+e+i+\"-\"+e+\",\"+e+i+e+\",\"+e+i+e+\",-\"+e+i+\"-\"+e+\",-\"+e+\"Z\"}},\"star-diamond\":{n:22,f:function(t){var e=n.round(1.4*t,2),r=n.round(1.9*t,2),i=\"A \"+r+\",\"+r+\" 0 0 1 \";return\"M-\"+e+\",0\"+i+\"0,\"+e+i+e+\",0\"+i+\"0,-\"+e+i+\"-\"+e+\",0Z\"}},\"diamond-tall\":{n:23,f:function(t){var e=n.round(.7*t,2),r=n.round(1.4*t,2);return\"M0,\"+r+\"L\"+e+\",0L0,-\"+r+\"L-\"+e+\",0Z\"}},\"diamond-wide\":{n:24,f:function(t){var e=n.round(1.4*t,2),r=n.round(.7*t,2);return\"M0,\"+r+\"L\"+e+\",0L0,-\"+r+\"L-\"+e+\",0Z\"}},hourglass:{n:25,f:function(t){var e=n.round(t,2);return\"M\"+e+\",\"+e+\"H-\"+e+\"L\"+e+\",-\"+e+\"H-\"+e+\"Z\"},noDot:!0},bowtie:{n:26,f:function(t){var e=n.round(t,2);return\"M\"+e+\",\"+e+\"V-\"+e+\"L-\"+e+\",\"+e+\"V-\"+e+\"Z\"},noDot:!0},\"circle-cross\":{n:27,f:function(t){var e=n.round(t,2);return\"M0,\"+e+\"V-\"+e+\"M\"+e+\",0H-\"+e+\"M\"+e+\",0A\"+e+\",\"+e+\" 0 1,1 0,-\"+e+\"A\"+e+\",\"+e+\" 0 0,1 \"+e+\",0Z\"},needLine:!0,noDot:!0},\"circle-x\":{n:28,f:function(t){var e=n.round(t,2),r=n.round(t/Math.sqrt(2),2);return\"M\"+r+\",\"+r+\"L-\"+r+\",-\"+r+\"M\"+r+\",-\"+r+\"L-\"+r+\",\"+r+\"M\"+e+\",0A\"+e+\",\"+e+\" 0 1,1 0,-\"+e+\"A\"+e+\",\"+e+\" 0 0,1 \"+e+\",0Z\"},needLine:!0,noDot:!0},\"square-cross\":{n:29,f:function(t){var e=n.round(t,2);return\"M0,\"+e+\"V-\"+e+\"M\"+e+\",0H-\"+e+\"M\"+e+\",\"+e+\"H-\"+e+\"V-\"+e+\"H\"+e+\"Z\"},needLine:!0,noDot:!0},\"square-x\":{n:30,f:function(t){var e=n.round(t,2);return\"M\"+e+\",\"+e+\"L-\"+e+\",-\"+e+\"M\"+e+\",-\"+e+\"L-\"+e+\",\"+e+\"M\"+e+\",\"+e+\"H-\"+e+\"V-\"+e+\"H\"+e+\"Z\"},needLine:!0,noDot:!0},\"diamond-cross\":{n:31,f:function(t){var e=n.round(1.3*t,2);return\"M\"+e+\",0L0,\"+e+\"L-\"+e+\",0L0,-\"+e+\"ZM0,-\"+e+\"V\"+e+\"M-\"+e+\",0H\"+e},needLine:!0,noDot:!0},\"diamond-x\":{n:32,f:function(t){var e=n.round(1.3*t,2),r=n.round(.65*t,2);return\"M\"+e+\",0L0,\"+e+\"L-\"+e+\",0L0,-\"+e+\"ZM-\"+r+\",-\"+r+\"L\"+r+\",\"+r+\"M-\"+r+\",\"+r+\"L\"+r+\",-\"+r},needLine:!0,noDot:!0},\"cross-thin\":{n:33,f:function(t){var e=n.round(1.4*t,2);return\"M0,\"+e+\"V-\"+e+\"M\"+e+\",0H-\"+e},needLine:!0,noDot:!0,noFill:!0},\"x-thin\":{n:34,f:function(t){var e=n.round(t,2);return\"M\"+e+\",\"+e+\"L-\"+e+\",-\"+e+\"M\"+e+\",-\"+e+\"L-\"+e+\",\"+e},needLine:!0,noDot:!0,noFill:!0},asterisk:{n:35,f:function(t){var e=n.round(1.2*t,2),r=n.round(.85*t,2);return\"M0,\"+e+\"V-\"+e+\"M\"+e+\",0H-\"+e+\"M\"+r+\",\"+r+\"L-\"+r+\",-\"+r+\"M\"+r+\",-\"+r+\"L-\"+r+\",\"+r},needLine:!0,noDot:!0,noFill:!0},hash:{n:36,f:function(t){var e=n.round(t/2,2),r=n.round(t,2);return\"M\"+e+\",\"+r+\"V-\"+r+\"m-\"+r+\",0V\"+r+\"M\"+r+\",\"+e+\"H-\"+r+\"m0,-\"+r+\"H\"+r},needLine:!0,noFill:!0},\"y-up\":{n:37,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return\"M-\"+e+\",\"+i+\"L0,0M\"+e+\",\"+i+\"L0,0M0,-\"+r+\"L0,0\"},needLine:!0,noDot:!0,noFill:!0},\"y-down\":{n:38,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return\"M-\"+e+\",-\"+i+\"L0,0M\"+e+\",-\"+i+\"L0,0M0,\"+r+\"L0,0\"},needLine:!0,noDot:!0,noFill:!0},\"y-left\":{n:39,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return\"M\"+i+\",\"+e+\"L0,0M\"+i+\",-\"+e+\"L0,0M-\"+r+\",0L0,0\"},needLine:!0,noDot:!0,noFill:!0},\"y-right\":{n:40,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return\"M-\"+i+\",\"+e+\"L0,0M-\"+i+\",-\"+e+\"L0,0M\"+r+\",0L0,0\"},needLine:!0,noDot:!0,noFill:!0},\"line-ew\":{n:41,f:function(t){var e=n.round(1.4*t,2);return\"M\"+e+\",0H-\"+e},needLine:!0,noDot:!0,noFill:!0},\"line-ns\":{n:42,f:function(t){var e=n.round(1.4*t,2);return\"M0,\"+e+\"V-\"+e},needLine:!0,noDot:!0,noFill:!0},\"line-ne\":{n:43,f:function(t){var e=n.round(t,2);return\"M\"+e+\",-\"+e+\"L-\"+e+\",\"+e},needLine:!0,noDot:!0,noFill:!0},\"line-nw\":{n:44,f:function(t){var e=n.round(t,2);return\"M\"+e+\",\"+e+\"L-\"+e+\",-\"+e},needLine:!0,noDot:!0,noFill:!0},\"arrow-up\":{n:45,f:function(t){var e=n.round(t,2);return\"M0,0L-\"+e+\",\"+n.round(2*t,2)+\"H\"+e+\"Z\"},noDot:!0},\"arrow-down\":{n:46,f:function(t){var e=n.round(t,2);return\"M0,0L-\"+e+\",-\"+n.round(2*t,2)+\"H\"+e+\"Z\"},noDot:!0},\"arrow-left\":{n:47,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return\"M0,0L\"+e+\",-\"+r+\"V\"+r+\"Z\"},noDot:!0},\"arrow-right\":{n:48,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return\"M0,0L-\"+e+\",-\"+r+\"V\"+r+\"Z\"},noDot:!0},\"arrow-bar-up\":{n:49,f:function(t){var e=n.round(t,2);return\"M-\"+e+\",0H\"+e+\"M0,0L-\"+e+\",\"+n.round(2*t,2)+\"H\"+e+\"Z\"},needLine:!0,noDot:!0},\"arrow-bar-down\":{n:50,f:function(t){var e=n.round(t,2);return\"M-\"+e+\",0H\"+e+\"M0,0L-\"+e+\",-\"+n.round(2*t,2)+\"H\"+e+\"Z\"},needLine:!0,noDot:!0},\"arrow-bar-left\":{n:51,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return\"M0,-\"+r+\"V\"+r+\"M0,0L\"+e+\",-\"+r+\"V\"+r+\"Z\"},needLine:!0,noDot:!0},\"arrow-bar-right\":{n:52,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return\"M0,-\"+r+\"V\"+r+\"M0,0L-\"+e+\",-\"+r+\"V\"+r+\"Z\"},needLine:!0,noDot:!0}}},{\"@plotly/d3\":58}],686:[function(t,e,r){\"use strict\";e.exports={visible:{valType:\"boolean\",editType:\"calc\"},type:{valType:\"enumerated\",values:[\"percent\",\"constant\",\"sqrt\",\"data\"],editType:\"calc\"},symmetric:{valType:\"boolean\",editType:\"calc\"},array:{valType:\"data_array\",editType:\"calc\"},arrayminus:{valType:\"data_array\",editType:\"calc\"},value:{valType:\"number\",min:0,dflt:10,editType:\"calc\"},valueminus:{valType:\"number\",min:0,dflt:10,editType:\"calc\"},traceref:{valType:\"integer\",min:0,dflt:0,editType:\"style\"},tracerefminus:{valType:\"integer\",min:0,dflt:0,editType:\"style\"},copy_ystyle:{valType:\"boolean\",editType:\"plot\"},copy_zstyle:{valType:\"boolean\",editType:\"style\"},color:{valType:\"color\",editType:\"style\"},thickness:{valType:\"number\",min:0,dflt:2,editType:\"style\"},width:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\",_deprecated:{opacity:{valType:\"number\",editType:\"style\"}}}},{}],687:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../lib\"),s=t(\"./compute_error\");function l(t,e,r,i){var l=e[\"error_\"+i]||{},c=[];if(l.visible&&-1!==[\"linear\",\"log\"].indexOf(r.type)){for(var u=s(l),f=0;f<t.length;f++){var h=t[f],p=h.i;if(void 0===p)p=f;else if(null===p)continue;var d=h[i];if(n(r.c2l(d))){var m=u(d,p);if(n(m[0])&&n(m[1])){var g=h[i+\"s\"]=d-m[0],v=h[i+\"h\"]=d+m[1];c.push(g,v)}}}var y=r._id,x=e._extremes[y],b=a.findExtremes(r,c,o.extendFlat({tozero:x.opts.tozero},{padded:!0}));x.min=x.min.concat(b.min),x.max=x.max.concat(b.max)}}e.exports=function(t){for(var e=t.calcdata,r=0;r<e.length;r++){var n=e[r],o=n[0].trace;if(!0===o.visible&&i.traceIs(o,\"errorBarsOK\")){var s=a.getFromId(t,o.xaxis),c=a.getFromId(t,o.yaxis);l(n,o,s,\"x\"),l(n,o,c,\"y\")}}}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"./compute_error\":688,\"fast-isnumeric\":245}],688:[function(t,e,r){\"use strict\";function n(t,e){return\"percent\"===t?function(t){return Math.abs(t*e/100)}:\"constant\"===t?function(){return Math.abs(e)}:\"sqrt\"===t?function(t){return Math.sqrt(Math.abs(t))}:void 0}e.exports=function(t){var e=t.type,r=t.symmetric;if(\"data\"===e){var i=t.array||[];if(r)return function(t,e){var r=+i[e];return[r,r]};var a=t.arrayminus||[];return function(t,e){var r=+i[e],n=+a[e];return isNaN(r)&&isNaN(n)?[NaN,NaN]:[n||0,r||0]}}var o=n(e,t.value),s=n(e,t.valueminus);return r||void 0===t.valueminus?function(t){var e=o(t);return[e,e]}:function(t){return[s(t),o(t)]}}},{}],689:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"./attributes\");e.exports=function(t,e,r,l){var c=\"error_\"+l.axis,u=o.newContainer(e,c),f=t[c]||{};function h(t,e){return a.coerce(f,u,s,t,e)}if(!1!==h(\"visible\",void 0!==f.array||void 0!==f.value||\"sqrt\"===f.type)){var p=h(\"type\",\"array\"in f?\"data\":\"percent\"),d=!0;\"sqrt\"!==p&&(d=h(\"symmetric\",!((\"data\"===p?\"arrayminus\":\"valueminus\")in f))),\"data\"===p?(h(\"array\"),h(\"traceref\"),d||(h(\"arrayminus\"),h(\"tracerefminus\"))):\"percent\"!==p&&\"constant\"!==p||(h(\"value\"),d||h(\"valueminus\"));var m=\"copy_\"+l.inherit+\"style\";if(l.inherit)(e[\"error_\"+l.inherit]||{}).visible&&h(m,!(f.color||n(f.thickness)||n(f.width)));l.inherit&&u[m]||(h(\"color\",r),h(\"thickness\"),h(\"width\",i.traceIs(e,\"gl3d\")?0:4))}}},{\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../../registry\":927,\"./attributes\":686,\"fast-isnumeric\":245}],690:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./attributes\"),o={error_x:n.extendFlat({},a),error_y:n.extendFlat({},a)};delete o.error_x.copy_zstyle,delete o.error_y.copy_zstyle,delete o.error_y.copy_ystyle;var s={error_x:n.extendFlat({},a),error_y:n.extendFlat({},a),error_z:n.extendFlat({},a)};delete s.error_x.copy_ystyle,delete s.error_y.copy_ystyle,delete s.error_z.copy_ystyle,delete s.error_z.copy_zstyle,e.exports={moduleType:\"component\",name:\"errorbars\",schema:{traces:{scatter:o,bar:o,histogram:o,scatter3d:i(s,\"calc\",\"nested\"),scattergl:i(o,\"calc\",\"nested\")}},supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),makeComputeError:t(\"./compute_error\"),plot:t(\"./plot\"),style:t(\"./style\"),hoverInfo:function(t,e,r){(e.error_y||{}).visible&&(r.yerr=t.yh-t.y,e.error_y.symmetric||(r.yerrneg=t.y-t.ys));(e.error_x||{}).visible&&(r.xerr=t.xh-t.x,e.error_x.symmetric||(r.xerrneg=t.x-t.xs))}}},{\"../../lib\":799,\"../../plot_api/edit_types\":831,\"./attributes\":686,\"./calc\":687,\"./compute_error\":688,\"./defaults\":689,\"./plot\":691,\"./style\":692}],691:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../drawing\"),o=t(\"../../traces/scatter/subtypes\");e.exports=function(t,e,r,s){var l=r.xaxis,c=r.yaxis,u=s&&s.duration>0;e.each((function(e){var f,h=e[0].trace,p=h.error_x||{},d=h.error_y||{};h.ids&&(f=function(t){return t.id});var m=o.hasMarkers(h)&&h.marker.maxdisplayed>0;d.visible||p.visible||(e=[]);var g=n.select(this).selectAll(\"g.errorbar\").data(e,f);if(g.exit().remove(),e.length){p.visible||g.selectAll(\"path.xerror\").remove(),d.visible||g.selectAll(\"path.yerror\").remove(),g.style(\"opacity\",1);var v=g.enter().append(\"g\").classed(\"errorbar\",!0);u&&v.style(\"opacity\",0).transition().duration(s.duration).style(\"opacity\",1),a.setClipUrl(g,r.layerClipId,t),g.each((function(t){var e=n.select(this),r=function(t,e,r){var n={x:e.c2p(t.x),y:r.c2p(t.y)};void 0!==t.yh&&(n.yh=r.c2p(t.yh),n.ys=r.c2p(t.ys),i(n.ys)||(n.noYS=!0,n.ys=r.c2p(t.ys,!0)));void 0!==t.xh&&(n.xh=e.c2p(t.xh),n.xs=e.c2p(t.xs),i(n.xs)||(n.noXS=!0,n.xs=e.c2p(t.xs,!0)));return n}(t,l,c);if(!m||t.vis){var a,o=e.select(\"path.yerror\");if(d.visible&&i(r.x)&&i(r.yh)&&i(r.ys)){var f=d.width;a=\"M\"+(r.x-f)+\",\"+r.yh+\"h\"+2*f+\"m-\"+f+\",0V\"+r.ys,r.noYS||(a+=\"m-\"+f+\",0h\"+2*f),!o.size()?o=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"yerror\",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr(\"d\",a)}else o.remove();var h=e.select(\"path.xerror\");if(p.visible&&i(r.y)&&i(r.xh)&&i(r.xs)){var g=(p.copy_ystyle?d:p).width;a=\"M\"+r.xh+\",\"+(r.y-g)+\"v\"+2*g+\"m0,-\"+g+\"H\"+r.xs,r.noXS||(a+=\"m0,-\"+g+\"v\"+2*g),!h.size()?h=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"xerror\",!0):u&&(h=h.transition().duration(s.duration).ease(s.easing)),h.attr(\"d\",a)}else h.remove()}}))}}))}},{\"../../traces/scatter/subtypes\":1239,\"../drawing\":684,\"@plotly/d3\":58,\"fast-isnumeric\":245}],692:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\");e.exports=function(t){t.each((function(t){var e=t[0].trace,r=e.error_y||{},a=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(i.stroke,r.color),a.copy_ystyle&&(a=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",a.thickness+\"px\").call(i.stroke,a.color)}))}},{\"../color\":662,\"@plotly/d3\":58}],693:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":789,\"../../plots/font_attributes\":878,\"./layout_attributes\":703}],694:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],c=l[0].trace;if(!i.traceIs(c,\"pie-like\")){var u=i.traceIs(c,\"2dMap\")?a:n.fillArray;u(c.hoverinfo,l,\"hi\",o(c)),c.hovertemplate&&u(c.hovertemplate,l,\"ht\"),c.hoverlabel&&(u(c.hoverlabel.bgcolor,l,\"hbg\"),u(c.hoverlabel.bordercolor,l,\"hbc\"),u(c.hoverlabel.font.size,l,\"hts\"),u(c.hoverlabel.font.color,l,\"htc\"),u(c.hoverlabel.font.family,l,\"htf\"),u(c.hoverlabel.namelength,l,\"hnl\"),u(c.hoverlabel.align,l,\"hta\"))}}}},{\"../../lib\":799,\"../../registry\":927}],695:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"./hover\").hover;e.exports=function(t,e,r){var a=n.getComponentMethod(\"annotations\",\"onClick\")(t,t._hoverdata);function o(){t.emit(\"plotly_click\",{points:t._hoverdata,event:e})}void 0!==r&&i(t,e,r,!0),t._hoverdata&&e&&e.target&&(a&&a.then?a.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{\"../../registry\":927,\"./hover\":699}],696:[function(t,e,r){\"use strict\";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},{}],697:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"./hoverlabel_defaults\");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),a(t,e,(function(r,a){return n.coerce(t,e,i,r,a)}),s)}},{\"../../lib\":799,\"./attributes\":693,\"./hoverlabel_defaults\":700}],698:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(\"splom\"===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a<n.length;a++)for(var o=0;o<i.length;o++)if(-1!==e.indexOf(n[a]+i[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,i){return\"closest\"===t?i||r.quadrature(e,n):\"x\"===t.charAt(0)?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var i=e(t[n]);i<=r.distance&&(r.index=n,r.distance=i)}return r},r.inbox=function(t,e,r){return t*e<0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),i=e(r);return Math.sqrt(n*n+i*i)}},r.makeEventData=function(t,e,n){var i=\"index\"in t?t.index:t.pointNumber,a={data:e._input,fullData:e,curveNumber:e.index,pointNumber:i};if(e._indexToPoints){var o=e._indexToPoints[i];1===o.length?a.pointIndex=o[0]:a.pointIndices=o}else a.pointIndex=i;return e._module.eventData?a=e._module.eventData(a,t,e,n,i):(\"xVal\"in t?a.x=t.xVal:\"x\"in t&&(a.x=t.x),\"yVal\"in t?a.y=t.yVal:\"y\"in t&&(a.y=t.y),t.xa&&(a.xaxis=t.xa),t.ya&&(a.yaxis=t.ya),void 0!==t.zLabelVal&&(a.z=t.zLabelVal)),r.appendArrayPointValue(a,e,i),a},r.appendArrayPointValue=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){var u=o(n.nestedProperty(e,l).get(),r);void 0!==u&&(t[c]=u)}}},r.appendArrayMultiPointValues=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){for(var u=n.nestedProperty(e,l).get(),f=new Array(r.length),h=0;h<r.length;h++)f[h]=o(u,r[h]);t[c]=f}}};var i={ids:\"id\",locations:\"location\",labels:\"label\",values:\"value\",\"marker.colors\":\"color\",parents:\"parent\"};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={\"x unified\":!0,\"y unified\":!0};r.isUnifiedHover=function(t){return\"string\"==typeof t&&!!l[t]},r.isXYhover=function(t){return\"string\"==typeof t&&!!s[t]}},{\"../../lib\":799}],699:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),o=t(\"../../lib\"),s=o.strTranslate,l=o.strRotate,c=t(\"../../lib/events\"),u=t(\"../../lib/svg_text_utils\"),f=t(\"../../lib/override_cursor\"),h=t(\"../drawing\"),p=t(\"../color\"),d=t(\"../dragelement\"),m=t(\"../../plots/cartesian/axes\"),g=t(\"../../registry\"),v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"../legend/defaults\"),b=t(\"../legend/draw\"),_=y.YANGLE,w=Math.PI*_/180,T=1/Math.sin(w),k=Math.cos(w),M=Math.sin(w),A=y.HOVERARROWSIZE,S=y.HOVERTEXTPAD,E={box:!0,ohlc:!0,violin:!0,candlestick:!0};function L(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||\"\"].join(\",\")}r.hover=function(t,e,r,a){t=o.getGraphDiv(t),o.throttle(t._fullLayout._uid+y.HOVERID,y.HOVERMINTIME,(function(){!function(t,e,r,a){r||(r=\"xy\");var s=Array.isArray(r)?r:[r],l=t._fullLayout,u=l._plots||[],h=u[r],m=l._has(\"cartesian\");if(h){var y=h.overlays.map((function(t){return t.id}));s=s.concat(y)}for(var x=s.length,b=new Array(x),_=new Array(x),w=!1,k=0;k<x;k++){var M=s[k];if(u[M])w=!0,b[k]=u[M].xaxis,_[k]=u[M].yaxis;else{if(!l[M]||!l[M]._subplot)return void o.warn(\"Unrecognized subplot: \"+M);var A=l[M]._subplot;b[k]=A.xaxis,_[k]=A.yaxis}}var S=e.hovermode||l.hovermode;S&&!w&&(S=\"closest\");if(-1===[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(S)||!t.calcdata||t.querySelector(\".zoombox\")||t._dragging)return d.unhoverRaw(t,e);var C=l.hoverdistance;-1===C&&(C=1/0);var I=l.spikedistance;-1===I&&(I=1/0);var F,N,j,U,V,q,H,G,Y,W,X,Z,J,K=[],Q=[],$={hLinePoint:null,vLinePoint:null},tt=!1;if(Array.isArray(e))for(S=\"array\",j=0;j<e.length;j++)(V=t.calcdata[e[j].curveNumber||0])&&(q=V[0].trace,\"skip\"!==V[0].trace.hoverinfo&&(Q.push(V),\"h\"===q.orientation&&(tt=!0)));else{for(U=0;U<t.calcdata.length;U++)V=t.calcdata[U],\"skip\"!==(q=V[0].trace).hoverinfo&&v.isTraceInSubplots(q,s)&&(Q.push(V),\"h\"===q.orientation&&(tt=!0));var et,rt;if(!e.target)et=\"xpx\"in e?e.xpx:b[0]._length/2,rt=\"ypx\"in e?e.ypx:_[0]._length/2;else{if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var nt=e.composedPath&&e.composedPath()[0];nt||(nt=e.target);var it=nt.getBoundingClientRect();et=e.clientX-it.left,rt=e.clientY-it.top,l._calcInverseTransform(t);var at=o.apply3DTransform(l._invTransform)(et,rt);if(et=at[0],rt=at[1],et<0||et>b[0]._length||rt<0||rt>_[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=et+b[0]._offset,e.pointerY=rt+_[0]._offset,F=\"xval\"in e?v.flat(s,e.xval):v.p2c(b,et),N=\"yval\"in e?v.flat(s,e.yval):v.p2c(_,rt),!i(F[0])||!i(N[0]))return o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ot=1/0;function st(t,r){for(U=0;U<Q.length;U++)if((V=Q[U])&&V[0]&&V[0].trace&&!0===(q=V[0].trace).visible&&0!==q._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(q._module.name)){if(\"splom\"===q.type?H=s[G=0]:(H=v.getSubplot(q),G=s.indexOf(H)),Y=S,v.isUnifiedHover(Y)&&(Y=Y.charAt(0)),Z={cd:V,trace:q,xa:b[G],ya:_[G],maxHoverDistance:C,maxSpikeDistance:I,index:!1,distance:Math.min(ot,C),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:q.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},l[H]&&(Z.subplot=l[H]._subplot),l._splomScenes&&l._splomScenes[q.uid]&&(Z.scene=l._splomScenes[q.uid]),J=K.length,\"array\"===Y){var n=e[U];\"pointNumber\"in n?(Z.index=n.pointNumber,Y=\"closest\"):(Y=\"\",\"xval\"in n&&(W=n.xval,Y=\"x\"),\"yval\"in n&&(X=n.yval,Y=Y?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(W=t,X=r):(W=F[G],X=N[G]);if(0!==C)if(q._module&&q._module.hoverPoints){var a=q._module.hoverPoints(Z,W,X,Y,{finiteRange:!0,hoverLayer:l._hoverlayer});if(a)for(var c,u=0;u<a.length;u++)c=a[u],i(c.x0)&&i(c.y0)&&K.push(z(c,S))}else o.log(\"Unrecognized trace type in hover:\",q);if(\"closest\"===S&&K.length>J&&(K.splice(0,J),ot=K[0].distance),m&&0!==I&&0===K.length){Z.distance=I,Z.index=!1;var f=q._module.hoverPoints(Z,W,X,\"closest\",{hoverLayer:l._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=I}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var g=d[0];i(g.x0)&&i(g.y0)&&(h=ct(g),(!$.vLinePoint||$.vLinePoint.spikeDistance>h.spikeDistance)&&($.vLinePoint=h))}var y=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(y.length){var x=y[0];i(x.x0)&&i(x.y0)&&(h=ct(x),(!$.hLinePoint||$.hLinePoint.spikeDistance>h.spikeDistance)&&($.hLinePoint=h))}}}}}function lt(t,e){for(var r,n=null,i=1/0,a=0;a<t.length;a++)(r=t[a].spikeDistance)<=i&&r<=e&&(n=t[a],i=r);return n}function ct(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}st();var ut={fullLayout:l,container:l._hoverlayer,outerContainer:l._paperdiv,event:e},ft=t._spikepoints,ht={vLinePoint:$.vLinePoint,hLinePoint:$.hLinePoint};if(t._spikepoints=ht,m&&0!==I&&0!==K.length){var pt=lt(K.filter((function(t){return t.ya.showspikes})),I);$.hLinePoint=ct(pt);var dt=lt(K.filter((function(t){return t.xa.showspikes})),I);$.vLinePoint=ct(dt)}if(0===K.length){var mt=d.unhoverRaw(t,e);return!m||null===$.hLinePoint&&null===$.vLinePoint||R(ft)&&D(t,$,ut),mt}m&&R(ft)&&D(t,$,ut);var gt=function(){K.sort((function(t,e){return t.distance-e.distance})),K=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(K,S)};if(gt(),v.isXYhover(Y)&&0!==K[0].length&&\"splom\"!==K[0].trace.type){var vt=K[0],yt=(K=E[vt.trace.type]?K.filter((function(t){return t.trace.index===vt.trace.index})):[vt]).length,xt=B(\"x\",vt,l),bt=B(\"y\",vt,l);st(xt,bt);var _t,wt=[],Tt={},kt=0,Mt=function(t){var e=E[t.trace.type]?L(t):t.trace.index;if(Tt[e]){var r=Tt[e]-1,n=wt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(wt[r]=t)}else kt++,Tt[e]=kt,wt.push(t)};for(_t=0;_t<yt;_t++)Mt(K[_t]);for(_t=K.length-1;_t>yt-1;_t--)Mt(K[_t]);K=wt,gt()}var At=t._hoverdata,St=[];for(j=0;j<K.length;j++){var Et=K[j],Lt=v.makeEventData(Et,Et.trace,Et.cd);if(!1!==Et.hovertemplate){var Ct=!1;Et.cd[Et.index]&&Et.cd[Et.index].ht&&(Ct=Et.cd[Et.index].ht),Et.hovertemplate=Ct||Et.trace.hovertemplate||!1}Et.eventData=[Lt],St.push(Lt)}t._hoverdata=St;var Pt=\"y\"===S&&(Q.length>1||K.length>1)||\"closest\"===S&&tt&&K.length>1,It=p.combine(l.plot_bgcolor||p.background,l.paper_bgcolor),Ot={hovermode:S,rotateLabels:Pt,bgColor:It,container:l._hoverlayer,outerContainer:l._paperdiv,commonLabelOpts:l.hoverlabel,hoverdistance:l.hoverdistance},zt=P(K,Ot,t);v.isUnifiedHover(S)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(zt,Pt?\"xa\":\"ya\",l),O(zt,Pt,l._invScaleX,l._invScaleY));if(e.target&&e.target.tagName){var Dt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,St);f(n.select(e.target),Dt?\"pointer\":\"\")}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,At))return;At&&t.emit(\"plotly_unhover\",{event:e,points:At});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:b,yaxes:_,xvals:F,yvals:N})}(t,e,r,a)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=t.map((function(t){return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),a=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):a,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:a,outerContainer:o},l=P(i,s,e.gd),c=0,u=0;l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u}));var f=e.gd._fullLayout._invScaleX,h=e.gd._fullLayout._invScaleY;return O(l,s.rotateLabels,f,h),r?l:l.node()};var C=/<extra>([\\s\\S]*)<\\/extra>/;function P(t,e,r){var i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,g=e.commonLabelOpts||{},w=e.fontFamily||y.HOVERFONT,T=e.fontSize||y.HOVERFONTSIZE,k=t[0],M=k.xa,E=k.ya,C=a.charAt(0),P=k[C+\"Label\"],O=m.node().getBoundingClientRect(),z=O.top,D=O.width,R=O.height,F=void 0!==P&&k.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(F){var B,N,j=!0;for(B=0;B<t.length;B++)if(j&&void 0===t[B].zLabel&&(j=!1),N=t[B].hoverinfo||t[B].trace.hoverinfo){var U=Array.isArray(N)?N:N.split(\"+\");if(-1===U.indexOf(\"all\")&&-1===U.indexOf(a)){F=!1;break}}j&&(F=!1)}var V=d.selectAll(\"g.axistext\").data(F?[0]:[]);if(V.enter().append(\"g\").classed(\"axistext\",!0),V.exit().remove(),V.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=g.bgcolor||p.defaultLine,f=g.bordercolor||p.contrast(c),d=p.contrast(c),m={family:g.font.family||w,size:g.font.size||T,color:g.font.color||d};e.style({fill:c,stroke:f}),l.text(P).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var v,y,x=l.node().getBoundingClientRect();if(\"x\"===a){var b=\"top\"===M.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===M.side?z-x.bottom-A-S:z-x.top+A+S),v=M._offset+(k.x0+k.x1)/2,y=E._offset+(\"top\"===M.side?0:E._length);var _=x.width/2+S;v<_?(v=_,e.attr(\"d\",\"M-\"+(_-A)+\",0L-\"+(_-2*A)+\",\"+b+A+\"H\"+(S+x.width/2)+\"v\"+b+(2*S+x.height)+\"H-\"+_+\"V\"+b+A+\"Z\")):v>i.width-_?(v=i.width-_,e.attr(\"d\",\"M\"+(_-A)+\",0L\"+_+\",\"+b+A+\"v\"+b+(2*S+x.height)+\"H-\"+_+\"V\"+b+A+\"H\"+(_-2*A)+\"Z\")):e.attr(\"d\",\"M0,0L\"+A+\",\"+b+A+\"H\"+(S+x.width/2)+\"v\"+b+(2*S+x.height)+\"H-\"+(S+x.width/2)+\"V\"+b+A+\"H-\"+A+\"Z\")}else{var L,C,I;\"right\"===E.side?(L=\"start\",C=1,I=\"\",v=M._offset+M._length):(L=\"end\",C=-1,I=\"-\",v=M._offset),y=E._offset+(k.y0+k.y1)/2,l.attr(\"text-anchor\",L),e.attr(\"d\",\"M0,0L\"+I+A+\",\"+A+\"V\"+(S+x.height/2)+\"h\"+I+(2*S+x.width)+\"V-\"+(S+x.height/2)+\"H\"+I+A+\"V-\"+A+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+i._uid+\"commonlabel\"+E._id;if(v<x.width+2*S+A){O=\"M-\"+(A+S)+\"-\"+D+\"h-\"+(x.width-S)+\"V\"+D+\"h\"+(x.width-S)+\"Z\";var B=x.width-v+S;u.positionText(l,B,R),\"end\"===L&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),r=e.node().getBoundingClientRect();Math.round(r.width)<Math.round(x.width)&&t.attr(\"x\",B-r.width),e.remove()}))}else u.positionText(l,C*(S+A),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(v,y))})),v.isUnifiedHover(a)){if(d.selectAll(\"g.hovertext\").remove(),0===t.length)return;var q={showlegend:!0,legend:{title:{text:P,font:i.hoverlabel.font},font:i.hoverlabel.font,bgcolor:i.hoverlabel.bgcolor,bordercolor:i.hoverlabel.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},H={};x(q,H,r._fullData);var G=H.legend;G.entries=[];for(var Y=0;Y<t.length;Y++){var W=I(t[Y],!0,a,i,P),X=W[0],Z=W[1],J=t[Y];J.name=Z,J.text=\"\"!==Z?Z+\" : \"+X:X;var K=J.cd[J.index];K&&(K.mc&&(J.mc=K.mc),K.mcc&&(J.mc=K.mcc),K.mlc&&(J.mlc=K.mlc),K.mlcc&&(J.mlc=K.mlcc),K.mlw&&(J.mlw=K.mlw),K.mrc&&(J.mrc=K.mrc),K.dir&&(J.dir=K.dir)),J._distinct=!0,G.entries.push([J])}G.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),G.layer=d,G._inHover=!0,b(r,G);var Q=t[0],$=(Q.y0+Q.y1)/2,tt=(Q.x0+Q.x1)/2,et=d.select(\"g.legend\"),rt=et.node().getBoundingClientRect();tt+=M._offset,$+=E._offset-rt.height/2;var nt=rt.width+2*S;!(tt+nt<=D)&&tt-nt>=0?tt-=nt:tt+=2*S;var it=rt.height+2*S,at=$+it>=R;return it<=R&&($<=z?$=E._offset+2*S:at&&($=R-it)),et.attr(\"transform\",s(tt,$)),et}var ot=d.selectAll(\"g.hovertext\").data(t,(function(t){return L(t)}));return ot.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,w,T)})),ot.exit().remove(),ot.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var d=t.bgcolor||o,m=p.combine(p.opacity(d)?d:p.defaultLine,f),g=p.combine(p.opacity(o)?o:p.defaultLine,f),v=t.borderColor||p.contrast(m),y=I(t,F,a,i,P,e),x=y[0],b=y[1],k=e.select(\"text.nums\").call(h.font,t.fontFamily||w,t.fontSize||T,t.fontColor||v).text(x).attr(\"data-notex\",1).call(u.positionText,0,0).call(u.convertToTspans,r),M=e.select(\"text.name\"),E=0,L=0;if(b&&b!==x){M.call(h.font,t.fontFamily||w,t.fontSize||T,g).text(b).attr(\"data-notex\",1).call(u.positionText,0,0).call(u.convertToTspans,r);var C=M.node().getBoundingClientRect();E=C.width+2*S,L=C.height+2*S}else M.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:m,stroke:v});var O,B,N=k.node().getBoundingClientRect(),j=t.xa._offset+(t.x0+t.x1)/2,U=t.ya._offset+(t.y0+t.y1)/2,V=Math.abs(t.x1-t.x0),q=Math.abs(t.y1-t.y0),H=N.width+A+S+E;if(t.ty0=z-N.top,t.bx=N.width+2*S,t.by=Math.max(N.height+2*S,L),t.anchor=\"start\",t.txwidth=N.width,t.tx2width=E,t.offset=0,c)t.pos=j,O=U+q/2+H<=R,B=U-q/2-H>=0,\"top\"!==t.idealAlign&&O||!B?O?(U+=q/2,t.anchor=\"start\"):t.anchor=\"middle\":(U-=q/2,t.anchor=\"end\");else if(t.pos=U,O=j+V/2+H<=D,B=j-V/2-H>=0,\"left\"!==t.idealAlign&&O||!B)if(O)j+=V/2,t.anchor=\"start\";else{t.anchor=\"middle\";var G=H/2,Y=j+G-D,W=j-G;Y>0&&(j-=Y),W<0&&(j+=-W)}else j-=V/2,t.anchor=\"end\";k.attr(\"text-anchor\",t.anchor),E&&M.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(j,U)+(c?l(_):\"\"))})),ot}function I(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=F(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[c+\"Label\"]===i?l=t[u+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),a&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&a.remove(),l=s);var f=t.hovertemplate||!1;if(f){var h=t.hovertemplateLabels||t;t[c+\"Label\"]!==i&&(h[c+\"other\"]=h[c+\"Val\"],h[c+\"otherLabel\"]=h[c+\"Label\"]),l=(l=o.hovertemplateString(f,h,n._d3locale,t.eventData[0]||{},t.trace._meta)).replace(C,(function(e,r){return s=F(r,t.nameLength),\"\"}))}return[l,s]}function O(t,e,r,i){var a=function(t){return t*r},o=function(t){return t*i};t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var i=r.select(\"text.nums\"),s=t.anchor,l=\"end\"===s?-1:1,c={start:1,end:-1,middle:0}[s],f=c*(A+S),p=f+c*(t.txwidth+S),d=0,m=t.offset,g=\"middle\"===s;g&&(f-=t.tx2width/2,p+=t.txwidth/2+S),e&&(m*=-M,d=t.offset*k),r.select(\"path\").attr(\"d\",g?\"M-\"+a(t.bx/2+t.tx2width/2)+\",\"+o(m-t.by/2)+\"h\"+a(t.bx)+\"v\"+o(t.by)+\"h-\"+a(t.bx)+\"Z\":\"M0,0L\"+a(l*A+d)+\",\"+o(A+m)+\"v\"+o(t.by/2-A)+\"h\"+a(l*t.bx)+\"v-\"+o(t.by)+\"H\"+a(l*A+d)+\"V\"+o(m-A)+\"Z\");var v=d+f,y=m+t.ty0-t.by/2+S,x=t.textAlign||\"auto\";\"auto\"!==x&&(\"left\"===x&&\"start\"!==s?(i.attr(\"text-anchor\",\"start\"),v=g?-t.bx/2-t.tx2width/2+S:-t.bx-S):\"right\"===x&&\"end\"!==s&&(i.attr(\"text-anchor\",\"end\"),v=g?t.bx/2-t.tx2width/2-S:t.bx+S)),i.call(u.positionText,a(v),o(y)),t.tx2width&&(r.select(\"text.name\").call(u.positionText,a(p+c*S+d),o(m+t.ty0-t.by/2+S)),r.select(\"rect\").call(h.setRect,a(p+(c-1)*t.tx2width/2+d),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function z(t,e){var 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 t?t.xLabel:m.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel=\"yLabel\"in t?t.yLabel:m.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var f=m.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+f+\" / -\"+m.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" \\xb1 \"+f,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var h=m.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+h+\" / -\"+m.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" \\xb1 \"+h,\"y\"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&\"all\"!==p&&(-1===(p=Array.isArray(p)?p:p.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===p.indexOf(\"y\")&&(t.yLabel=void 0),-1===p.indexOf(\"z\")&&(t.zLabel=void 0),-1===p.indexOf(\"text\")&&(t.text=void 0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function D(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var g,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(g=c.pointerX,v=c.pointerY):(g=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,M=m.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=M,b=g),-1!==w.indexOf(\"across\")){var A=i._counterDomainMin,S=i._counterDomainMax;\"free\"===i.anchor&&(A=Math.min(A,i.position),S=Math.max(S,i.position)),x=l.l+A*l.w,b=l.l+S*l.w}o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:v,y2:v,\"stroke-width\":T,stroke:k,\"stroke-dasharray\":h.dashStyle(i.spikedash,T)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:v,y2:v,\"stroke-width\":T+2,stroke:d}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==w.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:M+(\"right\"!==i.side?T:-T),cy:v,r:T,fill:k}).classed(\"spikeline\",!0)}if(f){var E,L,C=e.vLinePoint;n=C&&C.xa,i=C&&C.ya,\"cursor\"===n.spikesnap?(E=c.pointerX,L=c.pointerY):(E=n._offset+C.x,L=i._offset+C.y);var P,I,O=a.readability(C.color,d)<1.5?p.contrast(d):C.color,z=n.spikemode,D=n.spikethickness,R=n.spikecolor||O,F=m.getPxPosition(t,n);if(-1!==z.indexOf(\"toaxis\")||-1!==z.indexOf(\"across\")){if(-1!==z.indexOf(\"toaxis\")&&(P=F,I=L),-1!==z.indexOf(\"across\")){var B=n._counterDomainMin,N=n._counterDomainMax;\"free\"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,I=l.t+(1-B)*l.h}o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:I,\"stroke-width\":D,stroke:R,\"stroke-dasharray\":h.dashStyle(n.spikedash,D)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:I,\"stroke-width\":D+2,stroke:d}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==z.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:E,cy:F-(\"top\"!==n.side?D:-D),r:D,fill:R}).classed(\"spikeline\",!0)}}}function R(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}function F(t,e){return u.plainText(t||\"\",{len:e,allowedTags:[\"br\",\"sub\",\"sup\",\"b\",\"i\",\"em\"]})}function B(t,e,r){var n=e[t+\"a\"],i=e[t+\"Val\"];\"category\"===n.type?i=n._categoriesMap[i]:\"date\"===n.type&&(i=n.d2c(i));var a=e.cd[e.index];return a&&a.t&&a.t.posLetter===n._id&&(\"group\"!==r.boxmode&&\"group\"!==r.violinmode||(i+=a.t.dPos)),i}},{\"../../lib\":799,\"../../lib/events\":788,\"../../lib/override_cursor\":810,\"../../lib/svg_text_utils\":824,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"../color\":662,\"../dragelement\":681,\"../drawing\":684,\"../legend/defaults\":714,\"../legend/draw\":715,\"./constants\":696,\"./helpers\":698,\"@plotly/d3\":58,\"fast-isnumeric\":245,tinycolor2:594}],700:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"./helpers\").isUnifiedHover;e.exports=function(t,e,r,o){function s(t){o.font[t]||(o.font[t]=e.legend?e.legend.font[t]:e.font[t])}o=o||{},e&&a(e.hovermode)&&(o.font||(o.font={}),s(\"size\"),s(\"family\"),s(\"color\"),e.legend?(o.bgcolor||(o.bgcolor=i.combine(e.legend.bgcolor,e.paper_bgcolor)),o.bordercolor||(o.bordercolor=e.legend.bordercolor)):o.bgcolor||(o.bgcolor=e.paper_bgcolor)),r(\"hoverlabel.bgcolor\",o.bgcolor),r(\"hoverlabel.bordercolor\",o.bordercolor),r(\"hoverlabel.namelength\",o.namelength),n.coerceFont(r,\"hoverlabel.font\",o.font),r(\"hoverlabel.align\",o.align)}},{\"../../lib\":799,\"../color\":662,\"./helpers\":698}],701:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return void 0!==e[r]?e[r]:n.coerce(t,e,i,r,a)}return r(\"clickmode\"),r(\"hovermode\")}},{\"../../lib\":799,\"./layout_attributes\":703}],702:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../dragelement\"),o=t(\"./helpers\"),s=t(\"./layout_attributes\"),l=t(\"./hover\");e.exports={moduleType:\"component\",name:\"fx\",constants:t(\"./constants\"),schema:{layout:s},attributes:t(\"./attributes\"),layoutAttributes:s,supplyLayoutGlobalDefaults:t(\"./layout_global_defaults\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,\"hoverinfo\",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:t(\"./click\")}},{\"../../lib\":799,\"../dragelement\":681,\"./attributes\":693,\"./calc\":694,\"./click\":695,\"./constants\":696,\"./defaults\":697,\"./helpers\":698,\"./hover\":699,\"./layout_attributes\":703,\"./layout_defaults\":704,\"./layout_global_defaults\":705,\"@plotly/d3\":58}],703:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../plots/font_attributes\")({editType:\"none\"});i.family.dflt=n.HOVERFONT,i.size.dflt=n.HOVERFONTSIZE,e.exports={clickmode:{valType:\"flaglist\",flags:[\"event\",\"select\"],dflt:\"event\",editType:\"plot\",extras:[\"none\"]},dragmode:{valType:\"enumerated\",values:[\"zoom\",\"pan\",\"select\",\"lasso\",\"drawclosedpath\",\"drawopenpath\",\"drawline\",\"drawrect\",\"drawcircle\",\"orbit\",\"turntable\",!1],dflt:\"zoom\",editType:\"modebar\"},hovermode:{valType:\"enumerated\",values:[\"x\",\"y\",\"closest\",!1,\"x unified\",\"y unified\"],dflt:\"closest\",editType:\"modebar\"},hoverdistance:{valType:\"integer\",min:-1,dflt:20,editType:\"none\"},spikedistance:{valType:\"integer\",min:-1,dflt:-1,editType:\"none\"},hoverlabel:{bgcolor:{valType:\"color\",editType:\"none\"},bordercolor:{valType:\"color\",editType:\"none\"},font:i,align:{valType:\"enumerated\",values:[\"left\",\"right\",\"auto\"],dflt:\"auto\",editType:\"none\"},namelength:{valType:\"integer\",min:-1,dflt:15,editType:\"none\"},editType:\"none\"},selectdirection:{valType:\"enumerated\",values:[\"h\",\"v\",\"d\",\"any\"],dflt:\"any\",editType:\"none\"}}},{\"../../plots/font_attributes\":878,\"./constants\":696}],704:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\"),a=t(\"./hovermode_defaults\"),o=t(\"./hoverlabel_defaults\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}a(t,e)&&(r(\"hoverdistance\"),r(\"spikedistance\")),\"select\"===r(\"dragmode\")&&r(\"selectdirection\");var s=e._has(\"mapbox\"),l=e._has(\"geo\"),c=e._basePlotModules.length;\"zoom\"===e.dragmode&&((s||l)&&1===c||s&&l&&2===c)&&(e.dragmode=\"pan\"),o(t,e,r)}},{\"../../lib\":799,\"./hoverlabel_defaults\":700,\"./hovermode_defaults\":701,\"./layout_attributes\":703}],705:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./hoverlabel_defaults\"),a=t(\"./layout_attributes\");e.exports=function(t,e){i(t,e,(function(r,i){return n.coerce(t,e,a,r,i)}))}},{\"../../lib\":799,\"./hoverlabel_defaults\":700,\"./layout_attributes\":703}],706:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/regex\").counter,a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/cartesian/constants\").idRegex,s=t(\"../../plot_api/plot_template\"),l={rows:{valType:\"integer\",min:1,editType:\"plot\"},roworder:{valType:\"enumerated\",values:[\"top to bottom\",\"bottom to top\"],dflt:\"top to bottom\",editType:\"plot\"},columns:{valType:\"integer\",min:1,editType:\"plot\"},subplots:{valType:\"info_array\",freeLength:!0,dimensions:2,items:{valType:\"enumerated\",values:[i(\"xy\").toString(),\"\"],editType:\"plot\"},editType:\"plot\"},xaxes:{valType:\"info_array\",freeLength:!0,items:{valType:\"enumerated\",values:[o.x.toString(),\"\"],editType:\"plot\"},editType:\"plot\"},yaxes:{valType:\"info_array\",freeLength:!0,items:{valType:\"enumerated\",values:[o.y.toString(),\"\"],editType:\"plot\"},editType:\"plot\"},pattern:{valType:\"enumerated\",values:[\"independent\",\"coupled\"],dflt:\"coupled\",editType:\"plot\"},xgap:{valType:\"number\",min:0,max:1,editType:\"plot\"},ygap:{valType:\"number\",min:0,max:1,editType:\"plot\"},domain:a({name:\"grid\",editType:\"plot\",noGridCell:!0},{}),xside:{valType:\"enumerated\",values:[\"bottom\",\"bottom plot\",\"top plot\",\"top\"],dflt:\"bottom plot\",editType:\"plot\"},yside:{valType:\"enumerated\",values:[\"left\",\"left plot\",\"right plot\",\"right\"],dflt:\"left plot\",editType:\"plot\"},editType:\"plot\"};function c(t,e,r){var n=e[r+\"axes\"],i=Object.keys((t._splomAxes||{})[r]||{});return Array.isArray(n)?n:i.length?i:void 0}function u(t,e,r,n,i,a){var o=e(t+\"gap\",r),s=e(\"domain.\"+t);e(t+\"side\",n);for(var l=new Array(i),c=s[0],u=(s[1]-c)/(i-o),f=u*(1-o),h=0;h<i;h++){var p=c+u*h;l[a?i-1-h:h]=[p,p+f]}return l}function f(t,e,r,n,i){var a,o=new Array(r);function s(t,r){-1!==e.indexOf(r)&&void 0===n[r]?(o[t]=r,n[r]=t):o[t]=\"\"}if(Array.isArray(t))for(a=0;a<r;a++)s(a,t[a]);else for(s(0,i),a=1;a<r;a++)s(a,i+(a+1));return o}e.exports={moduleType:\"component\",name:\"grid\",schema:{layout:{grid:l}},layoutAttributes:l,sizeDefaults:function(t,e){var r=t.grid||{},i=c(e,r,\"x\"),a=c(e,r,\"y\");if(t.grid||i||a){var o,f,h=Array.isArray(r.subplots)&&Array.isArray(r.subplots[0]),p=Array.isArray(i),d=Array.isArray(a),m=p&&i!==r.xaxes&&d&&a!==r.yaxes;h?(o=r.subplots.length,f=r.subplots[0].length):(d&&(o=a.length),p&&(f=i.length));var g=s.newContainer(e,\"grid\"),v=k(\"rows\",o),y=k(\"columns\",f);if(v*y>1){if(!h&&!p&&!d)\"independent\"===k(\"pattern\")&&(h=!0);g._hasSubplotGrid=h;var x,b,_=\"top to bottom\"===k(\"roworder\"),w=h?.2:.1,T=h?.3:.1;m&&e._splomGridDflt&&(x=e._splomGridDflt.xside,b=e._splomGridDflt.yside),g._domains={x:u(\"x\",k,w,x,y),y:u(\"y\",k,T,b,v,_)}}else delete e.grid}function k(t,e){return n.coerce(r,g,l,t,e)}},contentDefaults:function(t,e){var r=e.grid;if(r&&r._domains){var n,i,a,o,s,l,u,h=t.grid||{},p=e._subplots,d=r._hasSubplotGrid,m=r.rows,g=r.columns,v=\"independent\"===r.pattern,y=r._axisMap={};if(d){var x=h.subplots||[];l=r.subplots=new Array(m);var b=1;for(n=0;n<m;n++){var _=l[n]=new Array(g),w=x[n]||[];for(i=0;i<g;i++)if(v?(s=1===b?\"xy\":\"x\"+b+\"y\"+b,b++):s=w[i],_[i]=\"\",-1!==p.cartesian.indexOf(s)){if(u=s.indexOf(\"y\"),a=s.slice(0,u),o=s.slice(u),void 0!==y[a]&&y[a]!==i||void 0!==y[o]&&y[o]!==n)continue;_[i]=s,y[a]=i,y[o]=n}}}else{var T=c(e,h,\"x\"),k=c(e,h,\"y\");r.xaxes=f(T,p.xaxis,g,y,\"x\"),r.yaxes=f(k,p.yaxis,m,y,\"y\")}var M=r._anchors={},A=\"top to bottom\"===r.roworder;for(var S in y){var E,L,C,P=S.charAt(0),I=r[P+\"side\"];if(I.length<8)M[S]=\"free\";else if(\"x\"===P){if(\"t\"===I.charAt(0)===A?(E=0,L=1,C=m):(E=m-1,L=-1,C=-1),d){var O=y[S];for(n=E;n!==C;n+=L)if((s=l[n][O])&&(u=s.indexOf(\"y\"),s.slice(0,u)===S)){M[S]=s.slice(u);break}}else for(n=E;n!==C;n+=L)if(o=r.yaxes[n],-1!==p.cartesian.indexOf(S+o)){M[S]=o;break}}else if(\"l\"===I.charAt(0)?(E=0,L=1,C=g):(E=g-1,L=-1,C=-1),d){var z=y[S];for(n=E;n!==C;n+=L)if((s=l[z][n])&&(u=s.indexOf(\"y\"),s.slice(u)===S)){M[S]=s.slice(0,u);break}}else for(n=E;n!==C;n+=L)if(a=r.xaxes[n],-1!==p.cartesian.indexOf(a+S)){M[S]=a;break}}}}}},{\"../../lib\":799,\"../../lib/regex\":816,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/constants\":856,\"../../plots/domain\":877}],707:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/constants\"),i=t(\"../../plot_api/plot_template\").templatedArray;t(\"../../constants/axis_placeable_objects\");e.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},{\"../../constants/axis_placeable_objects\":768,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/constants\":856}],708:[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.images,f=e._id.charAt(0),h=0;h<u.length;h++)if(c=\"images[\"+h+\"].\",(l=u[h])[f+\"ref\"]===e._id){var p=l[f],d=l[\"size\"+f],m=null,g=null;if(o){m=i(p,e.range);var v=d/Math.pow(10,m)/2;g=2*Math.log(v+Math.sqrt(1+v*v))/Math.LN10}else g=(m=Math.pow(10,p))*(Math.pow(10,d/2)-Math.pow(10,-d/2));n(m)?n(g)||(g=null):(m=null,g=null),a(c+f,m),a(c+\"size\"+f,g)}}},{\"../../lib/to_log_range\":826,\"fast-isnumeric\":245}],709:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./attributes\");function s(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var s=a(\"source\");if(!a(\"visible\",!!s))return e;a(\"layer\"),a(\"xanchor\"),a(\"yanchor\"),a(\"sizex\"),a(\"sizey\"),a(\"sizing\"),a(\"opacity\");for(var l={_fullLayout:r},c=[\"x\",\"y\"],u=0;u<2;u++){var f=c[u],h=i.coerceRef(t,e,l,f,\"paper\",void 0);if(\"paper\"!==h)i.getFromId(l,h)._imgIndices.push(e._index);i.coercePosition(e,l,a,h,f,0)}return e}e.exports=function(t,e){a(t,e,{name:\"images\",handleItemDefaults:s})}},{\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"../../plots/cartesian/axes\":849,\"./attributes\":707}],710:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../drawing\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../plots/cartesian/axis_ids\"),s=t(\"../../constants/xmlns_namespaces\");e.exports=function(t){var e,r,l=t._fullLayout,c=[],u={},f=[];for(r=0;r<l.images.length;r++){var h=l.images[r];if(h.visible)if(\"below\"===h.layer&&\"paper\"!==h.xref&&\"paper\"!==h.yref){e=o.ref2id(h.xref)+o.ref2id(h.yref);var p=l._plots[e];if(!p){f.push(h);continue}p.mainplot&&(e=p.mainplot.id),u[e]||(u[e]=[]),u[e].push(h)}else\"above\"===h.layer?c.push(h):f.push(h)}var d={left:{sizing:\"xMin\",offset:0},center:{sizing:\"xMid\",offset:-.5},right:{sizing:\"xMax\",offset:-1}},m={top:{sizing:\"YMin\",offset:0},middle:{sizing:\"YMid\",offset:-.5},bottom:{sizing:\"YMax\",offset:-1}};function g(e){var r=n.select(this);if(this._imgSrc!==e.source)if(r.attr(\"xmlns\",s.svg),e.source&&\"data:\"===e.source.slice(0,5))r.attr(\"xlink:href\",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(\"crossOrigin\",\"anonymous\"),n.onerror=i,n.onload=function(){var e=document.createElement(\"canvas\");e.width=this.width,e.height=this.height,e.getContext(\"2d\").drawImage(this,0,0);var n=e.toDataURL(\"image/png\");r.attr(\"xlink:href\",n),t()},r.on(\"error\",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function v(e){var r,o,s=n.select(this),c=a.getFromId(t,e.xref),u=a.getFromId(t,e.yref),f=\"domain\"===a.getRefType(e.xref),h=\"domain\"===a.getRefType(e.yref),p=l._size;r=void 0!==c?\"string\"==typeof e.xref&&f?c._length*e.sizex:Math.abs(c.l2p(e.sizex)-c.l2p(0)):e.sizex*p.w,o=void 0!==u?\"string\"==typeof e.yref&&h?u._length*e.sizey:Math.abs(u.l2p(e.sizey)-u.l2p(0)):e.sizey*p.h;var g,v,y=r*d[e.xanchor].offset,x=o*m[e.yanchor].offset,b=d[e.xanchor].sizing+m[e.yanchor].sizing;switch(g=void 0!==c?\"string\"==typeof e.xref&&f?c._length*e.x+c._offset:c.r2p(e.x)+c._offset:e.x*p.w+p.l,g+=y,v=void 0!==u?\"string\"==typeof e.yref&&h?u._length*(1-e.y)+u._offset:u.r2p(e.y)+u._offset:p.h-e.y*p.h+p.t,v+=x,e.sizing){case\"fill\":b+=\" slice\";break;case\"stretch\":b=\"none\"}s.attr({x:g,y:v,width:r,height:o,preserveAspectRatio:b,opacity:e.opacity});var _=(c&&\"domain\"!==a.getRefType(e.xref)?c._id:\"\")+(u&&\"domain\"!==a.getRefType(e.yref)?u._id:\"\");i.setClipUrl(s,_?\"clip\"+l._uid+_:null,t)}var y=l._imageLowerLayer.selectAll(\"image\").data(f),x=l._imageUpperLayer.selectAll(\"image\").data(c);y.enter().append(\"image\"),x.enter().append(\"image\"),y.exit().remove(),x.exit().remove(),y.each((function(t){g.bind(this)(t),v.bind(this)(t)})),x.each((function(t){g.bind(this)(t),v.bind(this)(t)}));var b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(u[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),v.bind(this)(t)}))}}}},{\"../../constants/xmlns_namespaces\":776,\"../../plots/cartesian/axes\":849,\"../../plots/cartesian/axis_ids\":853,\"../drawing\":684,\"@plotly/d3\":58}],711:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"images\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"images\"),draw:t(\"./draw\"),convertCoords:t(\"./convert_coords\")}},{\"../../plots/cartesian/include_components\":862,\"./attributes\":707,\"./convert_coords\":708,\"./defaults\":709,\"./draw\":710}],712:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../color/attributes\");e.exports={bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},x:{valType:\"number\",min:-2,max:3,editType:\"legend\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",min:-2,max:3,editType:\"legend\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top left\"],editType:\"legend\"},editType:\"legend\"},editType:\"legend\"}},{\"../../plots/font_attributes\":878,\"../color/attributes\":661}],713:[function(t,e,r){\"use strict\";e.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:\"#808BA4\",scrollBarMargin:4,scrollBarEnterAttrs:{rx:20,ry:3,width:0,height:0},titlePad:2,itemGap:5}},{}],714:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\"),s=t(\"../../plots/layout_attributes\"),l=t(\"./helpers\");e.exports=function(t,e,r){for(var c=t.legend||{},u=0,f=!1,h=\"normal\",p=0;p<r.length;p++){var d=r[p];d.visible&&((d.showlegend||d._dfltShowLegend&&!(d._module&&d._module.attributes&&d._module.attributes.showlegend&&!1===d._module.attributes.showlegend.dflt))&&(u++,d.showlegend&&(f=!0,(n.traceIs(d,\"pie-like\")||!0===d._input.showlegend)&&u++)),(n.traceIs(d,\"bar\")&&\"stack\"===e.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(d.fill))&&(h=l.isGrouped({traceorder:h})?\"grouped+reversed\":\"reversed\"),void 0!==d.legendgroup&&\"\"!==d.legendgroup&&(h=l.isReversed({traceorder:h})?\"reversed+grouped\":\"grouped\"))}var m=i.coerce(t,e,s,\"showlegend\",f&&u>1);if(!1!==m||c.uirevision){var g=a.newContainer(e,\"legend\");if(T(\"uirevision\",e.uirevision),!1!==m){T(\"bgcolor\",e.paper_bgcolor),T(\"bordercolor\"),T(\"borderwidth\");var v,y,x,b=i.coerceFont(T,\"font\",e.font),_=\"h\"===T(\"orientation\");if(_?(v=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(t.xaxis)?(y=1.1,x=\"bottom\"):(y=-.1,x=\"top\")):(v=1.02,y=1,x=\"auto\"),T(\"traceorder\",h),l.isGrouped(e.legend)&&T(\"tracegroupgap\"),T(\"itemsizing\"),T(\"itemwidth\"),T(\"itemclick\"),T(\"itemdoubleclick\"),T(\"x\",v),T(\"xanchor\"),T(\"y\",y),T(\"yanchor\",x),T(\"valign\"),i.noneOrAll(c,g,[\"x\",\"y\"]),T(\"title.text\")){T(\"title.side\",_?\"left\":\"top\");var w=i.extendFlat({},b,{size:i.bigFont(b.size)});i.coerceFont(T,\"title.font\",w)}}}function T(t,e){return i.coerce(c,g,o,t,e)}}},{\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../../plots/layout_attributes\":904,\"../../registry\":927,\"./attributes\":712,\"./helpers\":718}],715:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else if(2===n){e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&h(r,t,n)}}function w(t,e,r){var n,a,s=t.data()[0][0],l=s.trace,u=o.traceIs(l,\"pie-like\"),h=!r._inHover&&e._context.edits.legendText&&!u,d=r._maxNameLength;s.groupTitle?(n=s.groupTitle.text,a=s.groupTitle.font):(a=r.font,r.entries?n=s.text:(n=u?s.label:l.name,l._meta&&(n=i.templateString(n,l._meta))));var m=i.ensureSingle(t,\"text\",\"legendtext\");m.attr(\"text-anchor\",\"start\").call(c.font,a).text(h?T(n,d):n);var g=r.itemwidth+2*p.itemGap;f.positionText(m,g,0),h?m.call(f.makeEditable,{gd:e,text:n}).call(M,t,e,r).on(\"edit\",(function(n){this.text(T(n,d)).call(M,t,e,r);var a=s.trace._fullInput||{},c={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(s.trace._group,n),c=h.constructUpdate()}else c.name=n;return o.call(\"_guiRestyle\",e,c,l.index)})):M(m,t,e,r)}function T(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function k(t,e){var r,a=e._context.doubleClickDelay,o=1,s=i.ensureSingle(t,\"rect\",\"legendtoggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(u.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(s.on(\"mousedown\",(function(){(r=(new Date).getTime())-e._legendMouseDownTime<a?o+=1:(o=1,e._legendMouseDownTime=r)})),s.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var r=e._fullLayout.legend;(new Date).getTime()-e._legendMouseDownTime>a&&(o=Math.max(o-1,1)),_(e,r,t,o,n.event)}})))}function M(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(!r._inHover&&i&&!i.trace.showlegend)return void t.remove();var a=t.select(\"g[class*=math-group]\"),o=a.node();r||(r=e._fullLayout.legend);var s,l=r.borderwidth;s=1===n?r.title.font:i.groupTitle?i.groupTitle.font:r.font;var u,h,d=s.size*m;if(o){var g=c.bBox(o);u=g.height,h=g.width,1===n?c.setTranslate(a,l,l+.75*u):c.setTranslate(a,0,.25*u)}else{var v=t.select(1===n?\".legendtitletext\":\".legendtext\"),y=f.lineCount(v),x=v.node();if(u=d*y,h=x?c.bBox(x).width:0,1===n)\"left\"===r.title.side&&(h+=2*p.itemGap),f.positionText(v,l+p.titlePad,l+d);else{var b=2*p.itemGap+r.itemwidth;i.groupTitle&&(b=p.itemGap,h-=r.itemwidth),f.positionText(v,b,-d*((y-1)/2-.3))}}1===n?(r._titleWidth=h,r._titleHeight=u):(i.lineHeight=d,i.height=Math.max(u,16)+3,i.width=h)}(e,r,n,i)}))}function A(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function S(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}e.exports=function(t,e){return e||(e=t._fullLayout.legend||{}),function(t,e){var r,s,f=t._fullLayout,h=\"legend\"+f._uid,d=e._inHover;d?(r=e.layer,h+=\"-hover\"):r=f._infolayer;if(!r)return;t._legendMouseDownTime||(t._legendMouseDownTime=0);if(d){if(!e.entries)return;s=y(e.entries,e)}else{if(!t.calcdata)return;s=f.showlegend&&y(t.calcdata,e)}var m=f.hiddenlabels||[];if(!(d||f.showlegend&&s.length))return r.selectAll(\".legend\").remove(),f._topdefs.select(\"#\"+h).remove(),a.autoMargin(t,\"legend\");var T=i.ensureSingle(r,\"g\",\"legend\",(function(t){d||t.attr(\"pointer-events\",\"all\")})),E=i.ensureSingleById(f._topdefs,\"clipPath\",h,(function(t){t.append(\"rect\")})),L=i.ensureSingle(T,\"rect\",\"bg\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));L.call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\");var C=i.ensureSingle(T,\"g\",\"scrollbox\"),P=e.title;if(e._titleWidth=0,e._titleHeight=0,P.text){var I=i.ensureSingle(C,\"text\",\"legendtitletext\");I.attr(\"text-anchor\",\"start\").call(c.font,P.font).text(P.text),M(I,C,t,e,1)}else C.selectAll(\".legendtitletext\").remove();var O=i.ensureSingle(T,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(u.fill,p.scrollBarColor)})),z=C.selectAll(\"g.groups\").data(s);z.enter().append(\"g\").attr(\"class\",\"groups\"),z.exit().remove();var D=z.selectAll(\"g.traces\").data(i.identity);D.enter().append(\"g\").attr(\"class\",\"traces\"),D.exit().remove(),D.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==m.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(w,t,e)})).call(x,t,e).each((function(){d||n.select(this).call(k,t)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout;i||(i=a.legend);var o=a._size,s=b.isVertical(i),l=b.isGrouped(i),u=i.borderwidth,f=2*u,h=p.itemGap,d=i.itemwidth+2*h,m=2*(u+h),g=S(i),v=i.y<0||0===i.y&&\"top\"===g,y=i.y>1||1===i.y&&\"bottom\"===g,x=i.tracegroupgap;i._maxHeight=Math.max(v||y?a.height/2:o.h,30);var _=0;i._width=0,i._height=0;var w=function(t){var e=0,r=0,n=t.title.side;n&&(-1!==n.indexOf(\"left\")&&(e=t._titleWidth),-1!==n.indexOf(\"top\")&&(r=t._titleHeight));return[e,r]}(i);if(s)r.each((function(t){var e=t[0].height;c.setTranslate(this,u+w[0],u+w[1]+i._height+e/2+h),i._height+=e,i._width=Math.max(i._width,t[0].width)})),_=d+i._width,i._width+=h+d+f,i._height+=m,l&&(e.each((function(t,e){c.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var T=A(i),k=i.x<0||0===i.x&&\"right\"===T,M=i.x>1||1===i.x&&\"left\"===T,E=y||v,L=a.width/2;i._maxWidth=Math.max(k?E&&\"left\"===T?o.l+o.w:L:M?E&&\"right\"===T?o.r+o.w:L:o.w,2*d);var C=0,P=0;r.each((function(t){var e=t[0].width+d;C=Math.max(C,e),P+=e})),_=null;var I=0;if(l){var O=0,z=0,D=0;e.each((function(){var t=0,e=0;n.select(this).selectAll(\"g.traces\").each((function(r){var n=r[0].height;c.setTranslate(this,w[0],w[1]+u+h+n/2+e),e+=n,t=Math.max(t,d+r[0].width)})),O=Math.max(O,e);var r=t+h;r+u+z>i._maxWidth&&(I=Math.max(I,z),z=0,D+=O+x,O=e),c.setTranslate(this,z,D),z+=r})),i._width=Math.max(I,z)+u,i._height=D+O+m}else{var R=r.size(),F=P+f+(R-1)*h<i._maxWidth,B=0,N=0,j=0,U=0;r.each((function(t){var e=t[0].height,r=d+t[0].width,n=(F?r:C)+h;n+u+N-h>=i._maxWidth&&(I=Math.max(I,U),N=0,j+=B,i._height+=B,B=0),c.setTranslate(this,w[0]+u+N,w[1]+u+j+e/2+h),U=N+r+h,N+=n,B=Math.max(B,e)})),F?(i._width=N+f,i._height=B+m):(i._width=Math.max(I,U)+f,i._height+=B+m)}}i._width=Math.ceil(Math.max(i._width+w[0],i._titleWidth+2*(u+p.titlePad))),i._height=Math.ceil(Math.max(i._height+w[1],i._titleHeight+2*(u+p.itemGap))),i._effHeight=Math.min(i._height,i._maxHeight);var V=t._context.edits,q=V.legendText||V.legendPosition;r.each((function(t){var e=n.select(this).select(\".legendtoggle\"),r=t[0].height,i=q?d:_||d+t[0].width;s||(i+=h/2),c.setRect(e,0,-r/2,i,r)}))}(t,z,D,e)},function(){if(d||!function(t){var e=t._fullLayout.legend,r=A(e),n=S(e);return a.autoMargin(t,\"legend\",{x:e.x,y:e.y,l:e._width*g[r],r:e._width*v[r],b:e._effHeight*v[n],t:e._effHeight*g[n]})}(t)){var s,u,m,y,x=f._size,b=e.borderwidth,w=x.l+x.w*e.x-g[A(e)]*e._width,k=x.t+x.h*(1-e.y)-g[S(e)]*e._effHeight;if(!d&&f.margin.autoexpand){var M=w,P=k;w=i.constrain(w,0,f.width-e._width),k=i.constrain(k,0,f.height-e._effHeight),w!==M&&i.log(\"Constrain legend.x to make legend fit inside graph\"),k!==P&&i.log(\"Constrain legend.y to make legend fit inside graph\")}if(d||c.setTranslate(T,w,k),O.on(\".drag\",null),T.on(\"wheel\",null),d||e._height<=e._maxHeight||t._context.staticPlot){var I=e._effHeight;d&&(I=e._height),L.attr({width:e._width-b,height:I-b,x:b/2,y:b/2}),c.setTranslate(C,0,0),E.select(\"rect\").attr({width:e._width-2*b,height:I-2*b,x:b,y:b}),c.setClipUrl(C,h,t),c.setRect(O,0,0,0,0),delete e._scrollY}else{var z,D,R,F=Math.max(p.scrollBarMinHeight,e._effHeight*e._effHeight/e._height),B=e._effHeight-F-2*p.scrollBarMargin,N=e._height-e._effHeight,j=B/N,U=Math.min(e._scrollY||0,N);L.attr({width:e._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:e._effHeight-b,x:b/2,y:b/2}),E.select(\"rect\").attr({width:e._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:e._effHeight-2*b,x:b,y:b+U}),c.setClipUrl(C,h,t),H(U,F,j),T.on(\"wheel\",(function(){H(U=i.constrain(e._scrollY+n.event.deltaY/B*N,0,N),F,j),0!==U&&U!==N&&n.event.preventDefault()}));var V=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;z=\"touchstart\"===t.type?t.changedTouches[0].clientY:t.clientY,R=U})).on(\"drag\",(function(){var t=n.event.sourceEvent;2===t.buttons||t.ctrlKey||(D=\"touchmove\"===t.type?t.changedTouches[0].clientY:t.clientY,H(U=function(t,e,r){var n=(r-e)/j+t;return i.constrain(n,0,N)}(R,z,D),F,j))}));O.call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;\"touchstart\"===t.type&&(z=t.changedTouches[0].clientY,R=U)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(D=t.changedTouches[0].clientY,H(U=function(t,e,r){var n=(e-r)/j+t;return i.constrain(n,0,N)}(R,z,D),F,j))}));C.call(q)}if(t._context.edits.legendPosition)T.classed(\"cursor-move\",!0),l.init({element:T.node(),gd:t,prepFn:function(){var t=c.getTranslate(T);m=t.x,y=t.y},moveFn:function(t,r){var n=m+t,i=y+r;c.setTranslate(T,n,i),s=l.align(n,0,x.l,x.l+x.w,e.xanchor),u=l.align(i,0,x.t+x.h,x.t,e.yanchor)},doneFn:function(){void 0!==s&&void 0!==u&&o.call(\"_guiRelayout\",t,{\"legend.x\":s,\"legend.y\":u})},clickFn:function(e,n){var i=r.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return n.clientX>=t.left&&n.clientX<=t.right&&n.clientY>=t.top&&n.clientY<=t.bottom}));i.size()>0&&_(t,T,i,e,n)}})}function H(r,n,i){e._scrollY=t._fullLayout.legend._scrollY=r,c.setTranslate(C,0,-r),c.setRect(O,e._width,p.scrollBarMargin+r*i,p.scrollBarWidth,n),E.select(\"rect\").attr(\"y\",b+r)}}],t)}(t,e)}},{\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/events\":788,\"../../lib/svg_text_utils\":824,\"../../plots/plots\":913,\"../../registry\":927,\"../color\":662,\"../dragelement\":681,\"../drawing\":684,\"./constants\":713,\"./get_legend_data\":716,\"./handle_click\":717,\"./helpers\":718,\"./style\":720,\"@plotly/d3\":58}],716:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"./helpers\");e.exports=function(t,e){var r,a,o=i.isGrouped(e),s=i.isReversed(e),l={},c=[],u=!1,f={},h=0,p=0;function d(t,r){if(\"\"!==t&&i.isGrouped(e))-1===c.indexOf(t)?(c.push(t),u=!0,l[t]=[r]):l[t].push(r);else{var n=\"~~i\"+h;c.push(n),l[n]=[r],h++}}for(r=0;r<t.length;r++){var m=t[r],g=m[0],v=g.trace,y=v.legendgroup;if(e._inHover||v.visible&&v.showlegend)if(n.traceIs(v,\"pie-like\"))for(f[y]||(f[y]={}),a=0;a<m.length;a++){var x=m[a].label;f[y][x]||(d(y,{label:x,color:m[a].color,i:m[a].i,trace:v,pts:m[a].pts}),f[y][x]=!0,p=Math.max(p,(x||\"\").length))}else d(y,g),p=Math.max(p,(v.name||\"\").length)}if(!c.length)return[];var b=!u||!o,_=[];for(r=0;r<c.length;r++){var w=l[c[r]];b?_.push(w[0]):_.push(w)}for(b&&(_=[_]),r=0;r<_.length;r++){var T=1/0;for(a=0;a<_[r].length;a++){var k=_[r][a].trace.legendrank;T>k&&(T=k)}_[r][0]._groupMinRank=T,_[r][0]._preGroupSort=r}var M=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(_.forEach((function(t,e){t[0]._preGroupSort=e})),_.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),r=0;r<_.length;r++){_[r].forEach((function(t,e){t._preSort=e})),_[r].sort(M);var A=_[r][0],S=null;for(a=0;a<_[r].length;a++){var E=_[r][a].trace.legendgrouptitle;if(E&&E.text){S=E;break}}for(s&&_[r].reverse(),S&&_[r].unshift({i:-1,groupTitle:S,trace:{showlegend:A.trace.showlegend}}),a=0;a<_[r].length;a++)_[r][a]=[_[r][a]]}return e._lgroupsLength=_.length,e._maxNameLength=p,_}},{\"../../registry\":927,\"./helpers\":718}],717:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=!0;e.exports=function(t,e,r){var o=e._fullLayout;if(!e._dragged&&!e._editing){var s,l=o.legend.itemclick,c=o.legend.itemdoubleclick;if(1===r&&\"toggle\"===l&&\"toggleothers\"===c&&a&&e.data&&e._context.showTips?(n.notifier(n._(e,\"Double-click on legend to isolate one trace\"),\"long\"),a=!1):a=!1,1===r?s=l:2===r&&(s=c),s){var u=o.hiddenlabels?o.hiddenlabels.slice():[],f=t.data()[0][0];if(!f.groupTitle){var h,p,d,m,g,v=e._fullData,y=f.trace,x=y.legendgroup,b={},_=[],w=[],T=[];if(i.traceIs(y,\"pie-like\")){var k=f.label,M=u.indexOf(k);\"toggle\"===s?-1===M?u.push(k):u.splice(M,1):\"toggleothers\"===s&&(u=[],e.calcdata[0].forEach((function(t){k!==t.label&&u.push(t.label)})),e._fullLayout.hiddenlabels&&e._fullLayout.hiddenlabels.length===u.length&&-1===M&&(u=[])),i.call(\"_guiRelayout\",e,\"hiddenlabels\",u)}else{var A,S=x&&x.length,E=[];if(S)for(h=0;h<v.length;h++)(A=v[h]).visible&&A.legendgroup===x&&E.push(h);if(\"toggle\"===s){var L;switch(y.visible){case!0:L=\"legendonly\";break;case!1:L=!1;break;case\"legendonly\":L=!0}if(S)for(h=0;h<v.length;h++)!1!==v[h].visible&&v[h].legendgroup===x&&B(v[h],L);else B(y,L)}else if(\"toggleothers\"===s){var C,P,I,O,z=!0;for(h=0;h<v.length;h++)if(C=v[h]===y,I=!0!==v[h].showlegend,!(C||I||(P=S&&v[h].legendgroup===x)||!0!==v[h].visible||i.traceIs(v[h],\"notLegendIsolatable\"))){z=!1;break}for(h=0;h<v.length;h++)if(!1!==v[h].visible&&!i.traceIs(v[h],\"notLegendIsolatable\"))switch(y.visible){case\"legendonly\":B(v[h],!0);break;case!0:O=!!z||\"legendonly\",C=v[h]===y,I=!0!==v[h].showlegend&&!v[h].legendgroup,P=C||S&&v[h].legendgroup===x,B(v[h],!(!P&&!I)||O)}}for(h=0;h<w.length;h++)if(d=w[h]){var D=d.constructUpdate(),R=Object.keys(D);for(p=0;p<R.length;p++)m=R[p],(b[m]=b[m]||[])[T[h]]=D[m]}for(g=Object.keys(b),h=0;h<g.length;h++)for(m=g[h],p=0;p<_.length;p++)b[m].hasOwnProperty(p)||(b[m][p]=void 0);i.call(\"_guiRestyle\",e,b,_)}}}}function F(t,e,r){var n=_.indexOf(t),i=b[e];return i||(i=b[e]=[]),-1===_.indexOf(t)&&(_.push(t),n=_.length-1),i[n]=r,n}function B(t,e){var r=t._fullInput;if(i.hasTransform(r,\"groupby\")){var a=w[r.index];if(!a){var o=i.getTransformIndices(r,\"groupby\"),s=o[o.length-1];a=n.keyedContainer(r,\"transforms[\"+s+\"].styles\",\"target\",\"value.visible\"),w[r.index]=a}var l=a.get(t._group);void 0===l&&(l=!0),!1!==l&&a.set(t._group,e),T[r.index]=F(r.index,\"visible\",!1!==r.visible)}else{var c=!1!==r.visible&&e;F(r.index,\"visible\",c)}}}},{\"../../lib\":799,\"../../registry\":927}],718:[function(t,e,r){\"use strict\";r.isGrouped=function(t){return-1!==(t.traceorder||\"\").indexOf(\"grouped\")},r.isVertical=function(t){return\"h\"!==t.orientation},r.isReversed=function(t){return-1!==(t.traceorder||\"\").indexOf(\"reversed\")}},{}],719:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"legend\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),draw:t(\"./draw\"),style:t(\"./style\")}},{\"./attributes\":712,\"./defaults\":714,\"./draw\":715,\"./style\":720}],720:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=a.strTranslate,s=t(\"../drawing\"),l=t(\"../color\"),c=t(\"../colorscale/helpers\").extractOpts,u=t(\"../../traces/scatter/subtypes\"),f=t(\"../../traces/pie/style_one\"),h=t(\"../../traces/pie/helpers\").castOption,p=t(\"./constants\");function d(t,e){return(e?\"radial\":\"horizontal\")+(t?\"\":\"reversed\")}function m(t){var e=t[0].trace,r=e.contours,n=u.hasLines(e),i=u.hasMarkers(e),a=e.visible&&e.fill&&\"none\"!==e.fill,o=!1,s=!1;if(r){var l=r.coloring;\"lines\"===l?o=!0:n=\"none\"===l||\"heatmap\"===l||r.showlines,\"constraint\"===r.type?a=\"=\"!==r._operation:\"fill\"!==l&&\"heatmap\"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}e.exports=function(t,e,r){var v=e._fullLayout;r||(r=v.legend);var y=\"constant\"===r.itemsizing,x=r.itemwidth,b=(x+2*p.itemGap)/2,_=o(b,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return y?n:Math.min(i,r)};function T(t,a,o){var u=t[0].trace,f=u.marker||{},h=f.line||{},p=o?u.visible&&u.type===o:i.traceIs(u,\"bar\"),d=n.select(a).select(\"g.legendpoints\").selectAll(\"path.legend\"+o).data(p?[t]:[]);d.enter().append(\"path\").classed(\"legend\"+o,!0).attr(\"d\",\"M6,6H-6V-6H6Z\").attr(\"transform\",_),d.exit().remove(),d.each((function(t){var i=n.select(this),a=t[0],o=w(a.mlw,f.line,5,2);i.style(\"stroke-width\",o+\"px\");var p=a.mcc;if(!r._inHover&&\"mc\"in a){var d=c(f),m=d.mid;void 0===m&&(m=(d.max+d.min)/2),p=s.tryColorscale(f,\"\")(m)}var v=p||a.mc||f.color,y=f.pattern,x=y&&s.getPatternAttr(y.shape,0,\"\");if(x){var b=s.getPatternAttr(y.bgcolor,0,null),_=s.getPatternAttr(y.fgcolor,0,null),T=y.fgopacity,k=g(y.size,8,10),M=g(y.solidity,.5,1),A=\"legend-\"+u.uid;i.call(s.pattern,\"legend\",e,A,x,k,M,p,y.fillmode,b,_,T)}else i.call(l.fill,v);o&&l.stroke(i,a.mlc||h.color)}))}function k(t,e,r){var o=t[0],s=o.trace,l=r?s.visible&&s.type===r:i.traceIs(s,r),c=n.select(e).select(\"g.legendpoints\").selectAll(\"path.legend\"+r).data(l?[t]:[]);if(c.enter().append(\"path\").classed(\"legend\"+r,!0).attr(\"d\",\"M6,6H-6V-6H6Z\").attr(\"transform\",_),c.exit().remove(),c.size()){var u=(s.marker||{}).line,p=w(h(u.width,o.pts),u,5,2),d=a.minExtend(s,{marker:{line:{width:p}}});d.marker.line.color=u.color;var m=a.minExtend(o,{trace:d});f(c,m,d)}}t.each((function(t){var e=n.select(this),i=a.ensureSingle(e,\"g\",\"layers\");i.style(\"opacity\",t[0].trace.opacity);var s=r.valign,l=t[0].lineHeight,c=t[0].height;if(\"middle\"!==s&&l&&c){var u={top:1,bottom:-1}[s]*(.5*(l-c+3));i.attr(\"transform\",o(0,u))}else i.attr(\"transform\",null);i.selectAll(\"g.legendfill\").data([t]).enter().append(\"g\").classed(\"legendfill\",!0),i.selectAll(\"g.legendlines\").data([t]).enter().append(\"g\").classed(\"legendlines\",!0);var f=i.selectAll(\"g.legendsymbols\").data([t]);f.enter().append(\"g\").classed(\"legendsymbols\",!0),f.selectAll(\"g.legendpoints\").data([t]).enter().append(\"g\").classed(\"legendpoints\",!0)})).each((function(t){var r,i=t[0].trace,o=[];if(i.visible)switch(i.type){case\"histogram2d\":case\"heatmap\":o=[[\"M-15,-2V4H15V-2Z\"]],r=!0;break;case\"choropleth\":case\"choroplethmapbox\":o=[[\"M-6,-6V6H6V-6Z\"]],r=!0;break;case\"densitymapbox\":o=[[\"M-6,0 a6,6 0 1,0 12,0 a 6,6 0 1,0 -12,0\"]],r=\"radial\";break;case\"cone\":o=[[\"M-6,2 A2,2 0 0,0 -6,6 V6L6,4Z\"],[\"M-6,-6 A2,2 0 0,0 -6,-2 L6,-4Z\"],[\"M-6,-2 A2,2 0 0,0 -6,2 L6,0Z\"]],r=!1;break;case\"streamtube\":o=[[\"M-6,2 A2,2 0 0,0 -6,6 H6 A2,2 0 0,1 6,2 Z\"],[\"M-6,-6 A2,2 0 0,0 -6,-2 H6 A2,2 0 0,1 6,-6 Z\"],[\"M-6,-2 A2,2 0 0,0 -6,2 H6 A2,2 0 0,1 6,-2 Z\"]],r=!1;break;case\"surface\":o=[[\"M-6,-6 A2,3 0 0,0 -6,0 H6 A2,3 0 0,1 6,-6 Z\"],[\"M-6,1 A2,3 0 0,1 -6,6 H6 A2,3 0 0,0 6,0 Z\"]],r=!0;break;case\"mesh3d\":o=[[\"M-6,6H0L-6,-6Z\"],[\"M6,6H0L6,-6Z\"],[\"M-6,-6H6L0,6Z\"]],r=!1;break;case\"volume\":o=[[\"M-6,6H0L-6,-6Z\"],[\"M6,6H0L6,-6Z\"],[\"M-6,-6H6L0,6Z\"]],r=!0;break;case\"isosurface\":o=[[\"M-6,6H0L-6,-6Z\"],[\"M6,6H0L6,-6Z\"],[\"M-6,-6 A12,24 0 0,0 6,-6 L0,6Z\"]],r=!1}var u=n.select(this).select(\"g.legendpoints\").selectAll(\"path.legend3dandfriends\").data(o);u.enter().append(\"path\").classed(\"legend3dandfriends\",!0).attr(\"transform\",_).style(\"stroke-miterlimit\",1),u.exit().remove(),u.each((function(t,o){var u,f=n.select(this),h=c(i),p=h.colorscale,m=h.reversescale;if(p){if(!r){var g=p.length;u=0===o?p[m?g-1:0][1]:1===o?p[m?0:g-1][1]:p[Math.floor((g-1)/2)][1]}}else{var v=i.vertexcolor||i.facecolor||i.color;u=a.isArrayOrTypedArray(v)?v[o]||v[0]:v}f.attr(\"d\",t[0]),u?f.call(l.fill,u):f.call((function(t){if(t.size()){var n=\"legendfill-\"+i.uid;s.gradient(t,e,n,d(m,\"radial\"===r),p,\"fill\")}}))}))})).each((function(t){var e=t[0].trace,r=\"waterfall\"===e.type;if(t[0]._distinct&&r){var i=t[0].trace[t[0].dir].marker;return t[0].mc=i.color,t[0].mlw=i.line.width,t[0].mlc=i.line.color,T(t,this,\"waterfall\")}var a=[];e.visible&&r&&(a=t[0].hasTotals?[[\"increasing\",\"M-6,-6V6H0Z\"],[\"totals\",\"M6,6H0L-6,-6H-0Z\"],[\"decreasing\",\"M6,6V-6H0Z\"]]:[[\"increasing\",\"M-6,-6V6H6Z\"],[\"decreasing\",\"M6,6V-6H-6Z\"]]);var o=n.select(this).select(\"g.legendpoints\").selectAll(\"path.legendwaterfall\").data(a);o.enter().append(\"path\").classed(\"legendwaterfall\",!0).attr(\"transform\",_).style(\"stroke-miterlimit\",1),o.exit().remove(),o.each((function(t){var r=n.select(this),i=e[t[0]].marker,a=w(void 0,i.line,5,2);r.attr(\"d\",t[1]).style(\"stroke-width\",a+\"px\").call(l.fill,i.color),a&&r.call(l.stroke,i.line.color)}))})).each((function(t){T(t,this,\"funnel\")})).each((function(t){T(t,this)})).each((function(t){var r=t[0].trace,o=n.select(this).select(\"g.legendpoints\").selectAll(\"path.legendbox\").data(r.visible&&i.traceIs(r,\"box-violin\")?[t]:[]);o.enter().append(\"path\").classed(\"legendbox\",!0).attr(\"d\",\"M6,6H-6V-6H6Z\").attr(\"transform\",_),o.exit().remove(),o.each((function(){var t=n.select(this);if(\"all\"!==r.boxpoints&&\"all\"!==r.points||0!==l.opacity(r.fillcolor)||0!==l.opacity((r.line||{}).color)){var i=w(void 0,r.line,5,2);t.style(\"stroke-width\",i+\"px\").call(l.fill,r.fillcolor),i&&l.stroke(t,r.line.color)}else{var c=a.minExtend(r,{marker:{size:y?12:a.constrain(r.marker.size,2,16),sizeref:1,sizemin:1,sizemode:\"diameter\"}});o.call(s.pointStyle,c,e)}}))})).each((function(t){k(t,this,\"funnelarea\")})).each((function(t){k(t,this,\"pie\")})).each((function(t){var r,i,o=m(t),l=o.showFill,f=o.showLine,h=o.showGradientLine,p=o.showGradientFill,g=o.anyFill,v=o.anyLine,y=t[0],b=y.trace,_=c(b),T=_.colorscale,k=_.reversescale,M=u.hasMarkers(b)||!g?\"M5,0\":v?\"M5,-2\":\"M5,-3\",A=n.select(this),S=A.select(\".legendfill\").selectAll(\"path\").data(l||p?[t]:[]);if(S.enter().append(\"path\").classed(\"js-fill\",!0),S.exit().remove(),S.attr(\"d\",M+\"h\"+x+\"v6h-\"+x+\"z\").call(l?s.fillGroupStyle:function(t){if(t.size()){var r=\"legendfill-\"+b.uid;s.gradient(t,e,r,d(k),T,\"fill\")}}),f||h){var E=w(void 0,b.line,10,5);i=a.minExtend(b,{line:{width:E}}),r=[a.minExtend(y,{trace:i})]}var L=A.select(\".legendlines\").selectAll(\"path\").data(f||h?[r]:[]);L.enter().append(\"path\").classed(\"js-line\",!0),L.exit().remove(),L.attr(\"d\",M+(h?\"l\"+x+\",0.0001\":\"h\"+x)).call(f?s.lineGroupStyle:function(t){if(t.size()){var r=\"legendline-\"+b.uid;s.lineGroupStyle(t),s.gradient(t,e,r,d(k),T,\"stroke\")}})})).each((function(t){var r,i,o=m(t),l=o.anyFill,c=o.anyLine,f=o.showLine,h=o.showMarker,p=t[0],d=p.trace,g=!h&&!c&&!l&&u.hasText(d);function v(t,e,r,n){var i=a.nestedProperty(d,t).get(),o=a.isArrayOrTypedArray(i)&&e?e(i):i;if(y&&o&&void 0!==n&&(o=n),r){if(o<r[0])return r[0];if(o>r[1])return r[1]}return o}function x(t){return p._distinct&&p.index&&t[p.index]?t[p.index]:t[0]}if(h||g||f){var b={},w={};if(h){b.mc=v(\"marker.color\",x),b.mx=v(\"marker.symbol\",x),b.mo=v(\"marker.opacity\",a.mean,[.2,1]),b.mlc=v(\"marker.line.color\",x),b.mlw=v(\"marker.line.width\",a.mean,[0,5],2),w.marker={sizeref:1,sizemin:1,sizemode:\"diameter\"};var T=v(\"marker.size\",a.mean,[2,16],12);b.ms=T,w.marker.size=T}f&&(w.line={width:v(\"line.width\",x,[0,10],5)}),g&&(b.tx=\"Aa\",b.tp=v(\"textposition\",x),b.ts=10,b.tc=v(\"textfont.color\",x),b.tf=v(\"textfont.family\",x)),r=[a.minExtend(p,b)],(i=a.minExtend(d,w)).selectedpoints=null,i.texttemplate=null}var k=n.select(this).select(\"g.legendpoints\"),M=k.selectAll(\"path.scatterpts\").data(h?r:[]);M.enter().insert(\"path\",\":first-child\").classed(\"scatterpts\",!0).attr(\"transform\",_),M.exit().remove(),M.call(s.pointStyle,i,e),h&&(r[0].mrc=3);var A=k.selectAll(\"g.pointtext\").data(g?r:[]);A.enter().append(\"g\").classed(\"pointtext\",!0).append(\"text\").attr(\"transform\",_),A.exit().remove(),A.selectAll(\"text\").call(s.textPointStyle,i,e)})).each((function(t){var e=t[0].trace,r=n.select(this).select(\"g.legendpoints\").selectAll(\"path.legendcandle\").data(e.visible&&\"candlestick\"===e.type?[t,t]:[]);r.enter().append(\"path\").classed(\"legendcandle\",!0).attr(\"d\",(function(t,e){return e?\"M-15,0H-8M-8,6V-6H8Z\":\"M15,0H8M8,-6V6H-8Z\"})).attr(\"transform\",_).style(\"stroke-miterlimit\",1),r.exit().remove(),r.each((function(t,r){var i=n.select(this),a=e[r?\"increasing\":\"decreasing\"],o=w(void 0,a.line,5,2);i.style(\"stroke-width\",o+\"px\").call(l.fill,a.fillcolor),o&&l.stroke(i,a.line.color)}))})).each((function(t){var e=t[0].trace,r=n.select(this).select(\"g.legendpoints\").selectAll(\"path.legendohlc\").data(e.visible&&\"ohlc\"===e.type?[t,t]:[]);r.enter().append(\"path\").classed(\"legendohlc\",!0).attr(\"d\",(function(t,e){return e?\"M-15,0H0M-8,-6V0\":\"M15,0H0M8,6V0\"})).attr(\"transform\",_).style(\"stroke-miterlimit\",1),r.exit().remove(),r.each((function(t,r){var i=n.select(this),a=e[r?\"increasing\":\"decreasing\"],o=w(void 0,a.line,5,2);i.style(\"fill\",\"none\").call(s.dashLine,a.line.dash,o),o&&l.stroke(i,a.line.color)}))}))}},{\"../../lib\":799,\"../../registry\":927,\"../../traces/pie/helpers\":1193,\"../../traces/pie/style_one\":1199,\"../../traces/scatter/subtypes\":1239,\"../color\":662,\"../colorscale/helpers\":673,\"../drawing\":684,\"./constants\":713,\"@plotly/d3\":58}],721:[function(t,e,r){\"use strict\";t(\"./constants\");e.exports={editType:\"modebar\",orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},add:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"},remove:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"}}},{\"./constants\":723}],722:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../plots/plots\"),a=t(\"../../plots/cartesian/axis_ids\"),o=t(\"../../fonts/ploticon\"),s=t(\"../shapes/draw\").eraseActiveShape,l=t(\"../../lib\"),c=l._,u=e.exports={};function f(t,e){var r,i,o=e.currentTarget,s=o.getAttribute(\"data-attr\"),l=o.getAttribute(\"data-val\")||!0,c=t._fullLayout,u={},f=a.list(t,null,!0),h=c._cartesianSpikesEnabled;if(\"zoom\"===s){var p,d=\"in\"===l?.5:2,m=(1+d)/2,g=(1-d)/2;for(i=0;i<f.length;i++)if(!(r=f[i]).fixedrange)if(p=r._name,\"auto\"===l)u[p+\".autorange\"]=!0;else if(\"reset\"===l){if(void 0===r._rangeInitial)u[p+\".autorange\"]=!0;else{var v=r._rangeInitial.slice();u[p+\".range[0]\"]=v[0],u[p+\".range[1]\"]=v[1]}void 0!==r._showSpikeInitial&&(u[p+\".showspikes\"]=r._showSpikeInitial,\"on\"!==h||r._showSpikeInitial||(h=\"off\"))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],x=[m*y[0]+g*y[1],m*y[1]+g*y[0]];u[p+\".range[0]\"]=r.l2r(x[0]),u[p+\".range[1]\"]=r.l2r(x[1])}}else\"hovermode\"!==s||\"x\"!==l&&\"y\"!==l||(l=c._isHoriz?\"y\":\"x\",o.setAttribute(\"data-val\",l)),u[s]=l;c._cartesianSpikesEnabled=h,n.call(\"_guiRelayout\",t,u)}function h(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout._subplots.gl3d||[],s={},l=i.split(\".\"),c=0;c<o.length;c++)s[o[c]+\".\"+l[1]]=a;var u=\"pan\"===a?a:\"zoom\";s.dragmode=u,n.call(\"_guiRelayout\",t,s)}function p(t,e){for(var r=e.currentTarget.getAttribute(\"data-attr\"),i=\"resetLastSave\"===r,a=\"resetDefault\"===r,o=t._fullLayout,s=o._subplots.gl3d||[],l={},c=0;c<s.length;c++){var u,f=s[c],h=f+\".camera\",p=f+\".aspectratio\",d=f+\".aspectmode\",m=o[f]._scene;i?(l[h+\".up\"]=m.viewInitial.up,l[h+\".eye\"]=m.viewInitial.eye,l[h+\".center\"]=m.viewInitial.center,u=!0):a&&(l[h+\".up\"]=null,l[h+\".eye\"]=null,l[h+\".center\"]=null,u=!0),u&&(l[p+\".x\"]=m.viewInitial.aspectratio.x,l[p+\".y\"]=m.viewInitial.aspectratio.y,l[p+\".z\"]=m.viewInitial.aspectratio.z,l[d]=m.viewInitial.aspectmode)}n.call(\"_guiRelayout\",t,l)}function d(t,e){var r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var c=0;c<a.length;c++){var u=a[c],f=i[u],h=u+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],m=u+\".\"+d+\".showspikes\";l[m]=!1,s[m]=f[d].showspikes}}r._previousVal=s}return l}function m(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var c=s[l],u=o[c];if(\"zoom\"===i){var f=u.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,c+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function v(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function y(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],c=i[l].zoom,u=\"in\"===r?1.05*c:c/1.05;o[l+\".zoom\"]=u}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,c=Object.keys(l),u=0;u<c.length;u++){var f=c[u];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}u.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return c(t,\"png\"===e?\"Download plot as a png\":\"Download plot\")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||\"png\"};l.notifier(c(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(c(t,\"IE only supports svg.  Changing format to svg.\"),\"long\"),r.format=\"svg\"),[\"filename\",\"width\",\"height\",\"scale\"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call(\"downloadImage\",t,r).then((function(e){l.notifier(c(t,\"Snapshot succeeded\")+\" - \"+e,\"long\")})).catch((function(){l.notifier(c(t,\"Sorry, there was a problem downloading your snapshot!\"),\"long\")}))}},u.sendDataToCloud={name:\"sendDataToCloud\",title:function(t){return c(t,\"Edit in Chart Studio\")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},u.editInChartStudio={name:\"editInChartStudio\",title:function(t){return c(t,\"Edit in Chart Studio\")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},u.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:o.zoombox,click:f},u.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},u.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return c(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},u.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return c(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},u.drawclosedpath={name:\"drawclosedpath\",title:function(t){return c(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},u.drawopenpath={name:\"drawopenpath\",title:function(t){return c(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},u.drawline={name:\"drawline\",title:function(t){return c(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},u.drawrect={name:\"drawrect\",title:function(t){return c(t,\"Draw rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":778,\"../../lib\":799,\"../../plots/cartesian/axis_ids\":853,\"../../plots/plots\":913,\"../../registry\":927,\"../shapes/draw\":746}],723:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":722}],724:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../color\":662,\"./attributes\":721}],725:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":721,\"./defaults\":724,\"./manage\":726}],726:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),A=o(e.hovermode),S=[];function E(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}S.push(e)}}var L=[\"toImage\"];s.showEditInChartStudio?L.push(\"editInChartStudio\"):s.showSendToCloud&&L.push(\"sendDataToCloud\");E(L);var C=[],P=[],I=[],O=[];(m||b||y||x||_)+v+g+w+T>1?(P=[\"toggleHover\"],I=[\"resetViews\"]):v?(C=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(P=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(C=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?P=[\"hoverClosestGl2d\"]:y?P=[\"hoverClosestPie\"]:k?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):P=[\"toggleHover\"];m&&(P=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||A)&&(P=[]);!m&&!b||M||(C=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"]));g?O=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?O=[\"zoom2d\",\"pan2d\"]:w||v?O=[\"pan2d\"]:T&&(O=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e})(r)&&O.push(\"select2d\",\"lasso2d\");var z=[],D=function(t){-1===z.indexOf(t)&&-1!==P.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var R=[],F=0;F<p.length;F++){var B=p[F];\"string\"==typeof B?(B=B.toLowerCase(),-1!==c.indexOf(B)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&O.push(B):\"togglespikelines\"===B?D(\"toggleSpikelines\"):\"togglehover\"===B?D(\"toggleHover\"):\"hovercompare\"===B?D(\"hoverCompareCartesian\"):\"hoverclosest\"===B?(D(\"hoverClosestCartesian\"),D(\"hoverClosestGeo\"),D(\"hoverClosest3d\"),D(\"hoverClosestGl2d\"),D(\"hoverClosestPie\")):\"v1hovermode\"===B&&(D(\"toggleHover\"),D(\"hoverClosestCartesian\"),D(\"hoverCompareCartesian\"),D(\"hoverClosestGeo\"),D(\"hoverClosest3d\"),D(\"hoverClosestGl2d\"),D(\"hoverClosestPie\"))):R.push(B)}p=R}return E(O),E(C.concat(I)),E(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(S,p)}(t),u?u.update(t,f):e._modeBar=s(t,f)}else u&&(u.destroy(),delete e._modeBar)}},{\"../../plots/cartesian/axis_ids\":853,\"../../registry\":927,\"../../traces/scatter/subtypes\":1239,\"../fx/helpers\":698,\"./buttons\":722,\"./constants\":723,\"./modebar\":727}],727:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=new DOMParser;function l(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=l.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=s.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly\")),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new l({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},{\"../../fonts/ploticon\":778,\"../../lib\":799,\"@plotly/d3\":58,\"fast-isnumeric\":245}],728:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../color/attributes\"),a=(0,t(\"../../plot_api/plot_template\").templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});e.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},{\"../../plot_api/plot_template\":838,\"../../plots/font_attributes\":878,\"../color/attributes\":661}],729:[function(t,e,r){\"use strict\";e.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},{}],730:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"../../plots/array_container_defaults\"),s=t(\"./attributes\"),l=t(\"./constants\");function c(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(\"visible\")){var l=o(\"step\");\"all\"!==l&&(!a||\"gregorian\"===a||\"month\"!==l&&\"year\"!==l?o(\"stepmode\"):e.stepmode=\"backward\",o(\"count\")),o(\"label\")}}e.exports=function(t,e,r,u,f){var h=t.rangeselector||{},p=a.newContainer(e,\"rangeselector\");function d(t,e){return n.coerce(h,p,s,t,e)}if(d(\"visible\",o(h,p,{name:\"buttons\",handleItemDefaults:c,calendar:f}).length>0)){var m=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,u);d(\"x\",m[0]),d(\"y\",m[1]),n.noneOrAll(t,e,[\"x\",\"y\"]),d(\"xanchor\"),d(\"yanchor\"),n.coerceFont(d,\"font\",r.font);var g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},{\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../../plots/array_container_defaults\":844,\"../color\":662,\"./attributes\":728,\"./constants\":729}],731:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../color\"),s=t(\"../drawing\"),l=t(\"../../lib\"),c=l.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../plots/cartesian/axis_ids\"),h=t(\"../../constants/alignment\"),p=h.LINE_SPACING,d=h.FROM_TL,m=h.FROM_BR,g=t(\"./constants\"),v=t(\"./get_update_object\");function y(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text(function(t,e){if(t.label)return e?l.templateString(t.label,e):t.label;return\"all\"===t.step?\"all\":t.count+t.step.charAt(0)}(r,n._fullLayout._meta)).call((function(t){u.convertToTspans(t,n)}))}e.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),y);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=v(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,v=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*u.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=u.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",c(v+f,v)),e.attr({x:0,y:0,width:d,height:h}),u.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var y=t._fullLayout._size,x=y.l+y.w*r.x,b=y.t+y.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\");l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var 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\":767,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plots/cartesian/axis_ids\":853,\"../../plots/plots\":913,\"../../registry\":927,\"../color\":662,\"../drawing\":684,\"./constants\":729,\"./get_update_object\":732,\"@plotly/d3\":58}],732:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\");e.exports=function(t,e){var r=t._name,i={};if(\"all\"===e.step)i[r+\".autorange\"]=!0;else{var a=function(t,e){var r,i=t.range,a=new Date(t.r2l(i[1])),o=e.step,s=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+n.time[o].utc.offset(a,-s));break;case\"todate\":var l=n.time[o].utc.offset(a,-s);r=t.l2r(+n.time[o].utc.ceil(l))}var c=i[1];return[r,c]}(t,e);i[r+\".range[0]\"]=a[0],i[r+\".range[1]\"]=a[1]}return i}},{\"@plotly/d3\":58}],733:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),draw:t(\"./draw\")}},{\"./attributes\":728,\"./defaults\":730,\"./draw\":731}],734:[function(t,e,r){\"use strict\";var n=t(\"../color/attributes\");e.exports={bgcolor:{valType:\"color\",dflt:n.background,editType:\"plot\"},bordercolor:{valType:\"color\",dflt:n.defaultLine,editType:\"plot\"},borderwidth:{valType:\"integer\",dflt:0,min:0,editType:\"plot\"},autorange:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"range[0]\":void 0,\"range[1]\":void 0}},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"calc\",impliedEdits:{\"^autorange\":!1}}],editType:\"calc\",impliedEdits:{autorange:!1}},thickness:{valType:\"number\",dflt:.15,min:0,max:1,editType:\"plot\"},visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},editType:\"calc\"}},{\"../color/attributes\":661}],735:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\").list,i=t(\"../../plots/cartesian/autorange\").getAutoRange,a=t(\"./constants\");e.exports=function(t){for(var e=n(t,\"x\",!0),r=0;r<e.length;r++){var o=e[r],s=o[a.name];s&&s.visible&&s.autorange&&(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},{\"../../plots/cartesian/autorange\":848,\"../../plots/cartesian/axis_ids\":853,\"./constants\":736}],736:[function(t,e,r){\"use strict\";e.exports={name:\"rangeslider\",containerClassName:\"rangeslider-container\",bgClassName:\"rangeslider-bg\",rangePlotClassName:\"rangeslider-rangeplot\",maskMinClassName:\"rangeslider-mask-min\",maskMaxClassName:\"rangeslider-mask-max\",slideBoxClassName:\"rangeslider-slidebox\",grabberMinClassName:\"rangeslider-grabber-min\",grabAreaMinClassName:\"rangeslider-grabarea-min\",handleMinClassName:\"rangeslider-handle-min\",grabberMaxClassName:\"rangeslider-grabber-max\",grabAreaMaxClassName:\"rangeslider-grabarea-max\",handleMaxClassName:\"rangeslider-handle-max\",maskMinOppAxisClassName:\"rangeslider-mask-min-opp-axis\",maskMaxOppAxisClassName:\"rangeslider-mask-max-opp-axis\",maskColor:\"rgba(0,0,0,0.4)\",maskOppAxisColor:\"rgba(0,0,0,0.2)\",slideBoxFill:\"transparent\",slideBoxCursor:\"ew-resize\",grabAreaFill:\"transparent\",grabAreaCursor:\"col-resize\",grabAreaWidth:10,handleWidth:4,handleRadius:1,handleStrokeWidth:1,extraPad:15}},{}],737:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plot_api/plot_template\"),a=t(\"../../plots/cartesian/axis_ids\"),o=t(\"./attributes\"),s=t(\"./oppaxis_attributes\");e.exports=function(t,e,r){var l=t[r],c=e[r];if(l.rangeslider||e._requestRangeslider[c._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,f,h=l.rangeslider,p=i.newContainer(c,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!c.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var m=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(m,a.id2name),v=0;v<g.length;v++){var y=g[v];u=h[y]||{},f=i.newContainer(p,y,\"yaxis\");var x,b=e[y];u.range&&b.isValidRange(u.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(u,f,s,t,e)}}},{\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/axis_ids\":853,\"./attributes\":734,\"./oppaxis_attributes\":741}],738:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../drawing\"),c=t(\"../color\"),u=t(\"../titles\"),f=t(\"../../plots/cartesian\"),h=t(\"../../plots/cartesian/axis_ids\"),p=t(\"../dragelement\"),d=t(\"../../lib/setcursor\"),m=t(\"./constants\");function g(t,e,r,n){var i=o.ensureSingle(t,\"rect\",m.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,u=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),fill:n.bgcolor,stroke:n.bordercolor,\"stroke-width\":u})}function v(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function y(t,e,r,i){var s,c=e.calcdata,u=t.selectAll(\"g.\"+m.rangePlotClassName).data(r._subplotsWith,o.identity);u.enter().append(\"g\").attr(\"class\",(function(t){return m.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),u.order(),u.exit().remove(),u.each((function(t,o){var l=n.select(this),u=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,m=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==m.rangemode?m.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var v=g._fullLayout.xaxis,y=g._fullLayout[d];v.clearCalc(),v.setScale(),y.clearCalc(),y.setScale();var x={id:t,plotgroup:l,xaxis:v,yaxis:y,isRangePlot:!0};u?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n],a=i[0].trace;a.xaxis+a.yaxis===e&&r.push(i)}return r}(c,t))}))}function x(t,e,r,n,i){(o.ensureSingle(t,\"rect\",m.maskMinClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"height\",n._height).call(c.fill,m.maskColor),o.ensureSingle(t,\"rect\",m.maskMaxClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"height\",n._height).call(c.fill,m.maskColor),\"match\"!==i.rangemode)&&(o.ensureSingle(t,\"rect\",m.maskMinOppAxisClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"width\",n._width).call(c.fill,m.maskOppAxisColor),o.ensureSingle(t,\"rect\",m.maskMaxOppAxisClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"width\",n._width).style(\"border-top\",m.maskOppBorder).call(c.fill,m.maskOppAxisColor))}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,\"rect\",m.slideBoxClassName,(function(t){t.attr({y:0,cursor:m.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})})).attr({height:n._height,fill:m.slideBoxFill})}function _(t,e,r,n){var i=o.ensureSingle(t,\"g\",m.grabberMinClassName),a=o.ensureSingle(t,\"g\",m.grabberMaxClassName),s={x:0,width:m.handleWidth,rx:m.handleRadius,fill:c.background,stroke:c.defaultLine,\"stroke-width\":m.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",m.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",m.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var u={width:m.grabAreaWidth,x:0,y:0,fill:m.grabAreaFill,cursor:e._context.staticPlot?void 0:m.grabAreaCursor};o.ensureSingle(i,\"rect\",m.grabAreaMinClassName,(function(t){t.attr(u)})).attr(\"height\",n._height),o.ensureSingle(a,\"rect\",m.grabAreaMaxClassName,(function(t){t.attr(u)})).attr(\"height\",n._height)}e.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][m.name];l._clipId=l._id+\"-\"+e._uid}var c=e._infolayer.selectAll(\"g.\"+m.containerClassName).data(r,(function(t){return t._name}));c.exit().each((function(t){var r=t[m.name];e._topdefs.select(\"#\"+r._clipId).remove()})).remove(),0!==r.length&&(c.enter().append(\"g\").classed(m.containerClassName,!0).attr(\"pointer-events\",\"all\"),c.each((function(r){var a=n.select(this),l=r[m.name],c=e[h.id2name(r.anchor)],f=l[h.id2name(r.anchor)];if(l.range){var w,T=o.simpleMap(l.range,r.r2l),k=o.simpleMap(r.range,r.r2l);w=k[0]<k[1]?[Math.min(T[0],k[0]),Math.max(T[1],k[1])]:[Math.max(T[0],k[0]),Math.min(T[1],k[1])],l.range=l._input.range=o.simpleMap(w,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,A=r.domain;l._width=M.w*(A[1]-A[0]);var S=Math.round(M.l+M.w*A[0]),E=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+m.extraPad);a.attr(\"transform\",s(S,E)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],C=l._rl[1],P=C-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var I=r.locateBreaks(L,C);if(I.length){var O,z,D=0;for(O=0;O<I.length;O++)D+=(z=I[O]).max-z.min;var R=l._width/(C-L-D),F=[-R*L];for(O=0;O<I.length;O++)z=I[O],F.push(F[F.length-1]-R*(z.max-z.min));for(l.d2p=function(t){for(var e=F[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=F[r+1];else if(t<n.min)break}return e+R*t},O=0;O<I.length;O++)(z=I[O]).pmin=l.d2p(z.min),z.pmax=l.d2p(z.max);l.p2d=function(t){for(var e=F[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.pmax)e=F[r+1];else if(t<n.pmin)break}return(t-e)/R}}}if(\"match\"!==f.rangemode){var B=c.r2l(f.range[0]),N=c.r2l(f.range[1])-B;l.d2pOppAxis=function(t){return(t-B)/N*l._height}}a.call(g,t,r,l).call(v,t,r,l).call(y,t,r,l).call(x,t,r,l,f).call(b,t,r,l).call(_,t,r,l),function(t,e,r,a){if(e._context.staticPlot)return;var s=t.select(\"rect.\"+m.slideBoxClassName).node(),l=t.select(\"rect.\"+m.grabAreaMinClassName).node(),c=t.select(\"rect.\"+m.grabAreaMaxClassName).node();function u(){var u=n.event,f=u.target,h=u.clientX||u.touches[0].clientX,m=h-t.node().getBoundingClientRect().left,g=a.d2p(r._rl[0]),v=a.d2p(r._rl[1]),y=p.coverSlip();function x(t){var u,p,x,b=+(t.clientX||t.touches[0].clientX)-h;switch(f){case s:x=\"ew-resize\",u=g+b,p=v+b;break;case l:x=\"col-resize\",u=g+b,p=v;break;case c:x=\"col-resize\",u=g,p=v+b;break;default:x=\"ew-resize\",u=m,p=m+b}if(p<u){var _=p;p=u,u=_}a._pixelMin=u,a._pixelMax=p,d(n.select(y),x),function(t,e,r,n){function a(t){return r.l2r(o.constrain(t,n._rl[0],n._rl[1]))}var s=a(n.p2d(n._pixelMin)),l=a(n.p2d(n._pixelMax));window.requestAnimationFrame((function(){i.call(\"_guiRelayout\",e,r._name+\".range\",[s,l])}))}(0,e,r,a)}function b(){y.removeEventListener(\"mousemove\",x),y.removeEventListener(\"mouseup\",b),this.removeEventListener(\"touchmove\",x),this.removeEventListener(\"touchend\",b),o.removeElement(y)}this.addEventListener(\"touchmove\",x),this.addEventListener(\"touchend\",b),y.addEventListener(\"mousemove\",x),y.addEventListener(\"mouseup\",b)}t.on(\"mousedown\",u),t.on(\"touchstart\",u)}(a,t,r,l),function(t,e,r,n,i,a){var l=m.handleWidth/2;function c(t){return o.constrain(t,0,n._width)}function u(t){return o.constrain(t,0,n._height)}function f(t){return o.constrain(t,-l,n._width+l)}var h=c(n.d2p(r._rl[0])),p=c(n.d2p(r._rl[1]));if(t.select(\"rect.\"+m.slideBoxClassName).attr(\"x\",h).attr(\"width\",p-h),t.select(\"rect.\"+m.maskMinClassName).attr(\"width\",h),t.select(\"rect.\"+m.maskMaxClassName).attr(\"x\",p).attr(\"width\",n._width-p),\"match\"!==a.rangemode){var d=n._height-u(n.d2pOppAxis(i._rl[1])),g=n._height-u(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+m.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+m.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+m.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var v=Math.round(f(h-l))-.5,y=Math.round(f(p-l))+.5;t.select(\"g.\"+m.grabberMinClassName).attr(\"transform\",s(v,.5)),t.select(\"g.\"+m.grabberMaxClassName).attr(\"transform\",s(y,.5))}(a,0,r,l,c,f),\"bottom\"===r.side&&u.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},{\"../../lib\":799,\"../../lib/setcursor\":820,\"../../plots/cartesian\":863,\"../../plots/cartesian/axis_ids\":853,\"../../plots/plots\":913,\"../../registry\":927,\"../color\":662,\"../dragelement\":681,\"../drawing\":684,\"../titles\":760,\"./constants\":736,\"@plotly/d3\":58}],739:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../lib/svg_text_utils\"),a=t(\"./constants\"),o=t(\"../../constants/alignment\").LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}r.isVisible=l,r.makeData=function(t){var e=n.list({_fullLayout:t},\"x\",!0),r=t.margin,i=[];if(!t._has(\"gl2d\"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var c=o[s];c._id=s+o._id,c._height=(t.height-r.b-r.t)*c.thickness,c._offsetShift=Math.floor(c.borderwidth/2)}}t._rangeSliderData=i},r.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;\"bottom\"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o));return{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},{\"../../constants/alignment\":767,\"../../lib/svg_text_utils\":824,\"../../plots/cartesian/axis_ids\":853,\"./constants\":736}],740:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"./oppaxis_attributes\"),o=t(\"./helpers\");e.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),calcAutorange:t(\"./calc_autorange\"),draw:t(\"./draw\"),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},{\"../../lib\":799,\"./attributes\":734,\"./calc_autorange\":735,\"./defaults\":737,\"./draw\":738,\"./helpers\":739,\"./oppaxis_attributes\":741}],741:[function(t,e,r){\"use strict\";e.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}},{}],742:[function(t,e,r){\"use strict\";var n=t(\"../annotations/attributes\"),i=t(\"../../traces/scatter/attributes\").line,a=t(\"../drawing/attributes\").dash,o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/plot_template\").templatedArray;t(\"../../constants/axis_placeable_objects\");e.exports=s(\"shape\",{visible:{valType:\"boolean\",dflt:!0,editType:\"calc+arraydraw\"},type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:o({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:o({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:o({},i.color,{editType:\"arraydraw\"}),width:o({},i.width,{editType:\"calc+arraydraw\"}),dash:o({},a,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},editType:\"arraydraw\"})},{\"../../constants/axis_placeable_objects\":768,\"../../lib/extend\":789,\"../../plot_api/plot_template\":838,\"../../traces/scatter/attributes\":1214,\"../annotations/attributes\":645,\"../drawing/attributes\":683}],743:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"./constants\"),o=t(\"./helpers\");function s(t){return c(t.line.width,t.xsizemode,t.x0,t.x1,t.path,!1)}function l(t){return c(t.line.width,t.ysizemode,t.y0,t.y1,t.path,!0)}function c(t,e,r,i,s,l){var c=t/2,u=l;if(\"pixel\"===e){var f=s?o.extractPathCoords(s,l?a.paramIsY:a.paramIsX):[r,i],h=n.aggNums(Math.max,null,f),p=n.aggNums(Math.min,null,f),d=p<0?Math.abs(p)+c:c,m=h>0?h+c:c;return{ppad:c,ppadplus:u?d:m,ppadminus:u?m:d}}return{ppad:c}}function u(t,e,r,n,i){var s=\"category\"===t.type||\"multicategory\"===t.type?t.r2c:t.d2c;if(void 0!==e)return[s(e),s(r)];if(n){var l,c,u,f,h=1/0,p=-1/0,d=n.match(a.segmentRE);for(\"date\"===t.type&&(s=o.decodeDate(s)),l=0;l<d.length;l++)void 0!==(c=i[d[l].charAt(0)].drawn)&&(!(u=d[l].substr(1).match(a.paramRE))||u.length<c||((f=s(u[c]))<h&&(h=f),f>p&&(p=f)));return p>=h?[h,p]:void 0}}e.exports=function(t){var e=t._fullLayout,r=n.filterVisible(e.shapes);if(r.length&&t._fullData.length)for(var o=0;o<r.length;o++){var c,f,h=r[o];h._extremes={};var p=i.getRefType(h.xref),d=i.getRefType(h.yref);if(\"paper\"!==h.xref&&\"domain\"!==p){var m=\"pixel\"===h.xsizemode?h.xanchor:h.x0,g=\"pixel\"===h.xsizemode?h.xanchor:h.x1;(f=u(c=i.getFromId(t,h.xref),m,g,h.path,a.paramIsX))&&(h._extremes[c._id]=i.findExtremes(c,f,s(h)))}if(\"paper\"!==h.yref&&\"domain\"!==d){var v=\"pixel\"===h.ysizemode?h.yanchor:h.y0,y=\"pixel\"===h.ysizemode?h.yanchor:h.y1;(f=u(c=i.getFromId(t,h.yref),v,y,h.path,a.paramIsY))&&(h._extremes[c._id]=i.findExtremes(c,f,l(h)))}}}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"./constants\":744,\"./helpers\":753}],744:[function(t,e,r){\"use strict\";e.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},{}],745:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./attributes\"),s=t(\"./helpers\");function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}if(a(\"visible\")){var l=a(\"path\"),c=a(\"type\",l?\"path\":\"rect\");\"path\"!==e.type&&delete e.path,a(\"editable\"),a(\"layer\"),a(\"opacity\"),a(\"fillcolor\"),a(\"fillrule\"),a(\"line.width\")&&(a(\"line.color\"),a(\"line.dash\"));for(var u=a(\"xsizemode\"),f=a(\"ysizemode\"),h=[\"x\",\"y\"],p=0;p<2;p++){var d,m,g,v=h[p],y=v+\"anchor\",x=\"x\"===v?u:f,b={_fullLayout:r},_=i.coerceRef(t,e,b,v,void 0,\"paper\");if(\"range\"===i.getRefType(_)?((d=i.getFromId(b,_))._shapeIndices.push(e._index),g=s.rangeToShapePosition(d),m=s.shapePositionToRange(d)):m=g=n.identity,\"path\"!==c){var w=v+\"0\",T=v+\"1\",k=t[w],M=t[T];t[w]=m(t[w],!0),t[T]=m(t[T],!0),\"pixel\"===x?(a(w,0),a(T,10)):(i.coercePosition(e,b,a,_,w,.25),i.coercePosition(e,b,a,_,T,.75)),e[w]=g(e[w]),e[T]=g(e[T]),t[w]=k,t[T]=M}if(\"pixel\"===x){var A=t[y];t[y]=m(t[y],!0),i.coercePosition(e,b,a,_,y,.25),e[y]=g(e[y]),t[y]=A}}\"path\"===c?a(\"path\"):n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}}e.exports=function(t,e){a(t,e,{name:\"shapes\",handleItemDefaults:l})}},{\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"../../plots/cartesian/axes\":849,\"./attributes\":742,\"./helpers\":753}],746:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"./draw_newshape/helpers\").readPaths,s=t(\"./draw_newshape/display_outlines\"),l=t(\"../../plots/cartesian/handle_outline\").clearOutlineControllers,c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../../plot_api/plot_template\").arrayEditor,h=t(\"../dragelement\"),p=t(\"../../lib/setcursor\"),d=t(\"./constants\"),m=t(\"./helpers\");function g(t){var e=t._fullLayout;for(var r in e._shapeUpperLayer.selectAll(\"path\").remove(),e._shapeLowerLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].shapelayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.shapes.length;i++)e.shapes[i].visible&&x(t,i)}function v(t){return!!t._fullLayout._drawing}function y(t){return!t._context.edits.shapePosition}function x(t,e){t._fullLayout._paperdiv.selectAll('.shapelayer [data-index=\"'+e+'\"]').remove();var r=m.makeOptionsAndPlotinfo(t,e),l=r.options,x=r.plotinfo;if(l._input&&!1!==l.visible)if(\"below\"!==l.layer)k(t._fullLayout._shapeUpperLayer);else if(\"paper\"===l.xref||\"paper\"===l.yref)k(t._fullLayout._shapeLowerLayer);else{if(x._hadPlotinfo)k((x.mainplotinfo||x).shapelayer);else k(t._fullLayout._shapeLowerLayer)}function k(r){var k=_(t,l),M={\"data-index\":e,\"fill-rule\":l.fillrule,d:k},A=l.opacity,S=l.fillcolor,E=l.line.width?l.line.color:\"rgba(0,0,0,0)\",L=l.line.width,C=l.line.dash;L||!0!==l.editable||(L=5,C=\"solid\");var P=\"Z\"!==k[k.length-1],I=y(t)&&l.editable&&t._fullLayout._activeShapeIndex===e;I&&(S=P?\"rgba(0,0,0,0)\":t._fullLayout.activeshape.fillcolor,A=t._fullLayout.activeshape.opacity);var O,z=r.append(\"path\").attr(M).style(\"opacity\",A).call(c.stroke,E).call(c.fill,S).call(u.dashLine,C,L);if(b(z,t,l),(I||t._context.edits.shapePosition)&&(O=f(t.layout,\"shapes\",l)),I){z.style({cursor:\"move\"});var D={element:z.node(),plotinfo:x,gd:t,editHelpers:O,isActiveShape:!0},R=o(k,t);s(R,z,D)}else t._context.edits.shapePosition?function(t,e,r,o,s,l){var c,f,g,y,x,T,k,M,A,S,E,L,C,P,I,O,z=\"pixel\"===r.xsizemode,D=\"pixel\"===r.ysizemode,R=\"line\"===r.type,F=\"path\"===r.type,B=l.modifyItem,N=a.getFromId(t,r.xref),j=a.getRefType(r.xref),U=a.getFromId(t,r.yref),V=a.getRefType(r.yref),q=m.getDataToPixel(t,N,!1,j),H=m.getDataToPixel(t,U,!0,V),G=m.getPixelToData(t,N,!1,j),Y=m.getPixelToData(t,U,!0,V),W=R?function(){var t=Math.max(r.line.width,10),n=s.append(\"g\").attr(\"data-index\",o);n.append(\"path\").attr(\"d\",e.attr(\"d\")).style({cursor:\"move\",\"stroke-width\":t,\"stroke-opacity\":\"0\"});var i={\"fill-opacity\":\"0\"},a=Math.max(t/2,10);return n.append(\"circle\").attr({\"data-line-point\":\"start-point\",cx:z?q(r.xanchor)+r.x0:q(r.x0),cy:D?H(r.yanchor)-r.y0:H(r.y0),r:a}).style(i).classed(\"cursor-grab\",!0),n.append(\"circle\").attr({\"data-line-point\":\"end-point\",cx:z?q(r.xanchor)+r.x1:q(r.x1),cy:D?H(r.yanchor)-r.y1:H(r.y1),r:a}).style(i).classed(\"cursor-grab\",!0),n}():e,X={element:W.node(),gd:t,prepFn:function(n){if(v(t))return;z&&(x=q(r.xanchor));D&&(T=H(r.yanchor));\"path\"===r.type?I=r.path:(c=z?r.x0:q(r.x0),f=D?r.y0:H(r.y0),g=z?r.x1:q(r.x1),y=D?r.y1:H(r.y1));c<g?(A=c,C=\"x0\",S=g,P=\"x1\"):(A=g,C=\"x1\",S=c,P=\"x0\");!D&&f<y||D&&f>y?(k=f,E=\"y0\",M=y,L=\"y1\"):(k=y,E=\"y1\",M=f,L=\"y0\");Z(n),Q(s,r),function(t,e,r){var n=e.xref,i=e.yref,o=a.getFromId(r,n),s=a.getFromId(r,i),l=\"\";\"paper\"===n||o.autorange||(l+=n);\"paper\"===i||s.autorange||(l+=i);u.setClipUrl(t,l?\"clip\"+r._fullLayout._uid+l:null,r)}(e,r,t),X.moveFn=\"move\"===O?J:K,X.altKey=n.altKey},doneFn:function(){if(v(t))return;p(e),$(s),b(e,t,r),n.call(\"_guiRelayout\",t,l.getUpdateObj())},clickFn:function(){if(v(t))return;$(s)}};function Z(r){if(v(t))O=null;else if(R)O=\"path\"===r.target.tagName?\"move\":\"start-point\"===r.target.attributes[\"data-line-point\"].value?\"resize-over-start-point\":\"resize-over-end-point\";else{var n=X.element.getBoundingClientRect(),i=n.right-n.left,a=n.bottom-n.top,o=r.clientX-n.left,s=r.clientY-n.top,l=!F&&i>10&&a>10&&!r.shiftKey?h.getCursor(o/i,1-s/a):\"move\";p(e,l),O=l.split(\"-\")[0]}}function J(n,i){if(\"path\"===r.type){var a=function(t){return t},o=a,l=a;z?B(\"xanchor\",r.xanchor=G(x+n)):(o=function(t){return G(q(t)+n)},N&&\"date\"===N.type&&(o=m.encodeDate(o))),D?B(\"yanchor\",r.yanchor=Y(T+i)):(l=function(t){return Y(H(t)+i)},U&&\"date\"===U.type&&(l=m.encodeDate(l))),B(\"path\",r.path=w(I,o,l))}else z?B(\"xanchor\",r.xanchor=G(x+n)):(B(\"x0\",r.x0=G(c+n)),B(\"x1\",r.x1=G(g+n))),D?B(\"yanchor\",r.yanchor=Y(T+i)):(B(\"y0\",r.y0=Y(f+i)),B(\"y1\",r.y1=Y(y+i)));e.attr(\"d\",_(t,r)),Q(s,r)}function K(n,i){if(F){var a=function(t){return t},o=a,l=a;z?B(\"xanchor\",r.xanchor=G(x+n)):(o=function(t){return G(q(t)+n)},N&&\"date\"===N.type&&(o=m.encodeDate(o))),D?B(\"yanchor\",r.yanchor=Y(T+i)):(l=function(t){return Y(H(t)+i)},U&&\"date\"===U.type&&(l=m.encodeDate(l))),B(\"path\",r.path=w(I,o,l))}else if(R){if(\"resize-over-start-point\"===O){var u=c+n,h=D?f-i:f+i;B(\"x0\",r.x0=z?u:G(u)),B(\"y0\",r.y0=D?h:Y(h))}else if(\"resize-over-end-point\"===O){var p=g+n,d=D?y-i:y+i;B(\"x1\",r.x1=z?p:G(p)),B(\"y1\",r.y1=D?d:Y(d))}}else{var v=function(t){return-1!==O.indexOf(t)},b=v(\"n\"),j=v(\"s\"),V=v(\"w\"),W=v(\"e\"),X=b?k+i:k,Z=j?M+i:M,J=V?A+n:A,K=W?S+n:S;D&&(b&&(X=k-i),j&&(Z=M-i)),(!D&&Z-X>10||D&&X-Z>10)&&(B(E,r[E]=D?X:Y(X)),B(L,r[L]=D?Z:Y(Z))),K-J>10&&(B(C,r[C]=z?J:G(J)),B(P,r[P]=z?K:G(K)))}e.attr(\"d\",_(t,r)),Q(s,r)}function Q(t,e){(z||D)&&function(){var r=\"path\"!==e.type,n=t.selectAll(\".visual-cue\").data([0]);n.enter().append(\"path\").attr({fill:\"#fff\",\"fill-rule\":\"evenodd\",stroke:\"#000\",\"stroke-width\":1}).classed(\"visual-cue\",!0);var a=q(z?e.xanchor:i.midRange(r?[e.x0,e.x1]:m.extractPathCoords(e.path,d.paramIsX))),o=H(D?e.yanchor:i.midRange(r?[e.y0,e.y1]:m.extractPathCoords(e.path,d.paramIsY)));if(a=m.roundPositionForSharpStrokeRendering(a,1),o=m.roundPositionForSharpStrokeRendering(o,1),z&&D){var s=\"M\"+(a-1-1)+\",\"+(o-1-1)+\"h-8v2h8 v8h2v-8 h8v-2h-8 v-8h-2 Z\";n.attr(\"d\",s)}else if(z){var l=\"M\"+(a-1-1)+\",\"+(o-9-1)+\"v18 h2 v-18 Z\";n.attr(\"d\",l)}else{var c=\"M\"+(a-9-1)+\",\"+(o-1-1)+\"h18 v2 h-18 Z\";n.attr(\"d\",c)}}()}function $(t){t.selectAll(\".visual-cue\").remove()}h.init(X),W.node().onmousemove=Z}(t,z,l,e,r,O):!0===l.editable&&z.style(\"pointer-events\",P||c.opacity(S)*A<=.5?\"stroke\":\"all\");z.node().addEventListener(\"click\",(function(){return function(t,e){if(!y(t))return;var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeShapeIndex)return void T(t);t._fullLayout._activeShapeIndex=r,t._fullLayout._deactivateShape=T,g(t)}}(t,z)}))}}function b(t,e,r){var n=(r.xref+r.yref).replace(/paper/g,\"\").replace(/[xyz][1-9]* *domain/g,\"\");u.setClipUrl(t,n?\"clip\"+e._fullLayout._uid+n:null,e)}function _(t,e){var r,n,o,s,l,c,u,f,h=e.type,p=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\"===p?n=function(t){return v._offset+v._length*t}:(r=m.shapePositionToRange(v),n=function(t){return v._offset+v.r2p(r(t,!0))}):n=function(t){return x.l+x.w*t},y?\"domain\"===g?s=function(t){return y._offset+y._length*(1-t)}:(o=m.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.t+x.h*(1-t)},\"path\"===h)return v&&\"date\"===v.type&&(n=m.decodeDate(n)),y&&\"date\"===y.type&&(s=m.decodeDate(s)),function(t,e,r){var n=t.path,a=t.xsizemode,o=t.ysizemode,s=t.xanchor,l=t.yanchor;return n.replace(d.segmentRE,(function(t){var n=0,c=t.charAt(0),u=d.paramIsX[c],f=d.paramIsY[c],h=d.numParams[c],p=t.substr(1).replace(d.paramRE,(function(t){return u[n]?t=\"pixel\"===a?e(s)+Number(t):e(t):f[n]&&(t=\"pixel\"===o?r(l)-Number(t):r(t)),++n>h&&(t=\"X\"),t}));return n>h&&(p=p.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+p}))}(e,n,s);if(\"pixel\"===e.xsizemode){var b=n(e.xanchor);l=b+e.x0,c=b+e.x1}else l=n(e.x0),c=n(e.x1);if(\"pixel\"===e.ysizemode){var _=s(e.yanchor);u=_-e.y0,f=_-e.y1}else u=s(e.y0),f=s(e.y1);if(\"line\"===h)return\"M\"+l+\",\"+u+\"L\"+c+\",\"+f;if(\"rect\"===h)return\"M\"+l+\",\"+u+\"H\"+c+\"V\"+f+\"H\"+l+\"Z\";var w=(l+c)/2,T=(u+f)/2,k=Math.abs(w-l),M=Math.abs(T-u),A=\"A\"+k+\",\"+M,S=w+k+\",\"+T;return\"M\"+S+A+\" 0 1,1 \"+(w+\",\"+(T-M))+A+\" 0 0,1 \"+S+\"Z\"}function w(t,e,r){return t.replace(d.segmentRE,(function(t){var n=0,i=t.charAt(0),a=d.paramIsX[i],o=d.paramIsY[i],s=d.numParams[i];return i+t.substr(1).replace(d.paramRE,(function(t){return n>=s||(a[n]?t=e(t):o[n]&&(t=r(t)),n++),t}))}))}function T(t){y(t)&&(t._fullLayout._activeShapeIndex>=0&&(l(t),delete t._fullLayout._activeShapeIndex,g(t)))}e.exports={draw:g,drawOne:x,eraseActiveShape:function(t){if(!y(t))return;l(t);var e=t._fullLayout._activeShapeIndex,r=(t.layout||{}).shapes||[];if(e<r.length){for(var i=[],a=0;a<r.length;a++)a!==e&&i.push(r[a]);delete t._fullLayout._activeShapeIndex,n.call(\"_guiRelayout\",t,{shapes:i})}}}},{\"../../lib\":799,\"../../lib/setcursor\":820,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/axes\":849,\"../../plots/cartesian/handle_outline\":860,\"../../registry\":927,\"../color\":662,\"../dragelement\":681,\"../drawing\":684,\"./constants\":744,\"./draw_newshape/display_outlines\":750,\"./draw_newshape/helpers\":751,\"./helpers\":753}],747:[function(t,e,r){\"use strict\";var n=t(\"../../drawing/attributes\").dash,i=t(\"../../../lib/extend\").extendFlat;e.exports={newshape:{line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:0,dflt:4,editType:\"none\"},dash:i({},n,{dflt:\"solid\",editType:\"none\"}),editType:\"none\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"none\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"none\"},drawdirection:{valType:\"enumerated\",values:[\"ortho\",\"horizontal\",\"vertical\",\"diagonal\"],dflt:\"diagonal\",editType:\"none\"},editType:\"none\"},activeshape:{fillcolor:{valType:\"color\",dflt:\"rgb(255,0,255)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},{\"../../../lib/extend\":789,\"../../drawing/attributes\":683}],748:[function(t,e,r){\"use strict\";e.exports={CIRCLE_SIDES:32,i000:0,i090:8,i180:16,i270:24,cos45:Math.cos(Math.PI/4),sin45:Math.sin(Math.PI/4),SQRT2:Math.sqrt(2)}},{}],749:[function(t,e,r){\"use strict\";var n=t(\"../../color\");e.exports=function(t,e,r){if(r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var i=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(i)),r(\"newshape.line.dash\")}r(\"activeshape.fillcolor\"),r(\"activeshape.opacity\")}},{\"../../color\":662}],750:[function(t,e,r){\"use strict\";var n=t(\"../../dragelement\"),i=t(\"../../dragelement/helpers\").drawMode,a=t(\"../../../registry\"),o=t(\"./constants\"),s=o.i000,l=o.i090,c=o.i180,u=o.i270,f=t(\"../../../plots/cartesian/handle_outline\").clearOutlineControllers,h=t(\"./helpers\"),p=h.pointsShapeRectangle,d=h.pointsShapeEllipse,m=h.writePaths,g=t(\"./newshapes\");e.exports=function t(e,r,o,h){h||(h=0);var v=o.gd;function y(){t(e,r,o,h++),d(e[0])&&x({redrawing:!0})}function x(t){o.isActiveShape=!1;var e=g(r,o);Object.keys(e).length&&a.call((t||{}).redrawing?\"relayout\":\"_guiRelayout\",v,e)}var b,_,w,T,k,M=o.isActiveShape,A=v._fullLayout._zoomlayer,S=o.dragmode;(i(S)?v._fullLayout._drawing=!0:v._fullLayout._activeShapeIndex>=0&&f(v),r.attr(\"d\",m(e)),M&&!h)&&(k=function(t,e){for(var r=0;r<e.length;r++){var n=e[r];t[r]=[];for(var i=0;i<n.length;i++){t[r][i]=[];for(var a=0;a<n[i].length;a++)t[r][i][a]=n[i][a]}}return t}([],e),function(t){b=[];for(var r=0;r<e.length;r++){var i=e[r],a=!p(i)&&d(i);b[r]=[];for(var o=0;o<i.length;o++)if(\"Z\"!==i[o][0]&&(!a||o===s||o===l||o===c||o===u)){var f=i[o][1],h=i[o][2],m=t.append(\"circle\").classed(\"cursor-grab\",!0).attr(\"data-i\",r).attr(\"data-j\",o).attr(\"cx\",f).attr(\"cy\",h).attr(\"r\",4).style({\"mix-blend-mode\":\"luminosity\",fill:\"black\",stroke:\"white\",\"stroke-width\":1});b[r][o]={element:m.node(),gd:v,prepFn:E,doneFn:C,clickFn:P},n.init(b[r][o])}}}(A.append(\"g\").attr(\"class\",\"outline-controllers\")),function(){if(_=[],!e.length)return;_[0]={element:r[0][0],gd:v,prepFn:O,doneFn:z},n.init(_[0])}());function E(t){w=+t.srcElement.getAttribute(\"data-i\"),T=+t.srcElement.getAttribute(\"data-j\"),b[w][T].moveFn=L}function L(t,r){if(e.length){var n=k[w][T][1],i=k[w][T][2],a=e[w],o=a.length;if(p(a)){for(var s=0;s<o;s++)if(s!==T){var l=a[s];l[1]===a[T][1]&&(l[1]=n+t),l[2]===a[T][2]&&(l[2]=i+r)}if(a[T][1]=n+t,a[T][2]=i+r,!p(a))for(var c=0;c<o;c++)for(var u=0;u<a[c].length;u++)a[c][u]=k[w][c][u]}else a[T][1]=n+t,a[T][2]=i+r;y()}}function C(){x()}function P(t,r){if(2===t){w=+r.srcElement.getAttribute(\"data-i\"),T=+r.srcElement.getAttribute(\"data-j\");var n=e[w];p(n)||d(n)||function(){if(e.length&&e[w]&&e[w].length){for(var t=[],r=0;r<e[w].length;r++)r!==T&&t.push(e[w][r]);t.length>1&&(2!==t.length||\"Z\"!==t[1][0])&&(0===T&&(t[0][0]=\"M\"),e[w]=t,y(),x())}}()}}function I(t,r){!function(t,r){if(e.length)for(var n=0;n<e.length;n++)for(var i=0;i<e[n].length;i++)for(var a=0;a+2<e[n][i].length;a+=2)e[n][i][a+1]=k[n][i][a+1]+t,e[n][i][a+2]=k[n][i][a+2]+r}(t,r),y()}function O(t){(w=+t.srcElement.getAttribute(\"data-i\"))||(w=0),_[w].moveFn=I}function z(){x()}}},{\"../../../plots/cartesian/handle_outline\":860,\"../../../registry\":927,\"../../dragelement\":681,\"../../dragelement/helpers\":680,\"./constants\":748,\"./helpers\":751,\"./newshapes\":752}],751:[function(t,e,r){\"use strict\";var n=t(\"parse-svg-path\"),i=t(\"./constants\"),a=i.CIRCLE_SIDES,o=i.SQRT2,s=t(\"../../../plots/cartesian/helpers\"),l=s.p2r,c=s.r2p,u=[0,3,4,5,6,1,2],f=[0,3,4,1,2];function h(t,e){return Math.abs(t-e)<=1e-6}function p(t,e){var r=e[1]-t[1],n=e[2]-t[2];return Math.sqrt(r*r+n*n)}r.writePaths=function(t){var e=t.length;if(!e)return\"M0,0Z\";for(var r=\"\",n=0;n<e;n++)for(var i=t[n].length,a=0;a<i;a++){var o=t[n][a][0];if(\"Z\"===o)r+=\"Z\";else for(var s=t[n][a].length,l=0;l<s;l++){var c=l;\"Q\"===o||\"S\"===o?c=f[l]:\"C\"===o&&(c=u[l]),r+=t[n][a][c],l>0&&l<s-1&&(r+=\",\")}}return r},r.readPaths=function(t,e,r,i){var o,s,u,f=n(t),h=[],p=-1,d=0,m=0,g=function(){s=d,u=m};g();for(var v=0;v<f.length;v++){var y,x,b,_,w=[],T=f[v][0],k=T;switch(T){case\"M\":p++,h[p]=[],d=+f[v][1],m=+f[v][2],w.push([k,d,m]),g();break;case\"Q\":case\"S\":y=+f[v][1],b=+f[v][2],d=+f[v][3],m=+f[v][4],w.push([k,d,m,y,b]);break;case\"C\":y=+f[v][1],b=+f[v][2],x=+f[v][3],_=+f[v][4],d=+f[v][5],m=+f[v][6],w.push([k,d,m,y,b,x,_]);break;case\"T\":case\"L\":d=+f[v][1],m=+f[v][2],w.push([k,d,m]);break;case\"H\":k=\"L\",d=+f[v][1],w.push([k,d,m]);break;case\"V\":k=\"L\",m=+f[v][1],w.push([k,d,m]);break;case\"A\":k=\"L\";var M=+f[v][1],A=+f[v][2];+f[v][4]||(M=-M,A=-A);var S=d-M,E=m;for(o=1;o<=a/2;o++){var L=2*Math.PI*o/a;w.push([k,S+M*Math.cos(L),E+A*Math.sin(L)])}break;case\"Z\":d===s&&m===u||(d=s,m=u,w.push([k,d,m]))}for(var C=(r||{}).domain,P=e._fullLayout._size,I=r&&\"pixel\"===r.xsizemode,O=r&&\"pixel\"===r.ysizemode,z=!1===i,D=0;D<w.length;D++){for(o=0;o+2<7;o+=2){var R=w[D][o+1],F=w[D][o+2];void 0!==R&&void 0!==F&&(d=R,m=F,r&&(r.xaxis&&r.xaxis.p2r?(z&&(R-=r.xaxis._offset),R=I?c(r.xaxis,r.xanchor)+R:l(r.xaxis,R)):(z&&(R-=P.l),C?R=C.x[0]+R/P.w:R/=P.w),r.yaxis&&r.yaxis.p2r?(z&&(F-=r.yaxis._offset),F=O?c(r.yaxis,r.yanchor)-F:l(r.yaxis,F)):(z&&(F-=P.t),F=C?C.y[1]-F/P.h:1-F/P.h)),w[D][o+1]=R,w[D][o+2]=F)}h[p].push(w[D].slice())}}return h},r.pointsShapeRectangle=function(t){if(5!==t.length)return!1;for(var e=1;e<3;e++){if(!h(t[0][e]-t[1][e],t[3][e]-t[2][e]))return!1;if(!h(t[0][e]-t[3][e],t[1][e]-t[2][e]))return!1}return!(!h(t[0][1],t[1][1])&&!h(t[0][1],t[3][1]))&&!!(p(t[0],t[1])*p(t[0],t[3]))},r.pointsShapeEllipse=function(t){var e=t.length;if(e!==a+1)return!1;e=a;for(var r=0;r<e;r++){var n=(2*e-r)%e,i=(e/2+n)%e,o=(e/2+r)%e;if(!h(p(t[r],t[o]),p(t[n],t[i])))return!1}return!0},r.handleEllipse=function(t,e,n){if(!t)return[e,n];var i=r.ellipseOver({x0:e[0],y0:e[1],x1:n[0],y1:n[1]}),s=(i.x1+i.x0)/2,l=(i.y1+i.y0)/2,c=(i.x1-i.x0)/2,u=(i.y1-i.y0)/2;c||(c=u/=o),u||(u=c/=o);for(var f=[],h=0;h<a;h++){var p=2*h*Math.PI/a;f.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return f},r.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}}},{\"../../../plots/cartesian/helpers\":861,\"./constants\":748,\"parse-svg-path\":489}],752:[function(t,e,r){\"use strict\";var n=t(\"../../dragelement/helpers\"),i=n.drawMode,a=n.openMode,o=t(\"./constants\"),s=o.i000,l=o.i090,c=o.i180,u=o.i270,f=o.cos45,h=o.sin45,p=t(\"../../../plots/cartesian/helpers\"),d=p.p2r,m=p.r2p,g=t(\"../../../plots/cartesian/handle_outline\").clearSelect,v=t(\"./helpers\"),y=v.readPaths,x=v.writePaths,b=v.ellipseOver;e.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var n=r.getAttribute(\"d\"),o=e.gd,p=o._fullLayout.newshape,v=e.plotinfo,_=v.xaxis,w=v.yaxis,T=!!v.domain||!v.xaxis,k=!!v.domain||!v.yaxis,M=e.isActiveShape,A=e.dragmode,S=(o.layout||{}).shapes||[];if(!i(A)&&void 0!==M){var E=o._fullLayout._activeShapeIndex;if(E<S.length)switch(o._fullLayout.shapes[E].type){case\"rect\":A=\"drawrect\";break;case\"circle\":A=\"drawcircle\";break;case\"line\":A=\"drawline\";break;case\"path\":var L=S[E].path||\"\";A=\"Z\"===L[L.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var C,P=a(A),I=y(n,o,v,M),O={editable:!0,xref:T?\"paper\":_._id,yref:k?\"paper\":w._id,layer:p.layer,opacity:p.opacity,line:{color:p.line.color,width:p.line.width,dash:p.line.dash}};if(P||(O.fillcolor=p.fillcolor,O.fillrule=p.fillrule),1===I.length&&(C=I[0]),C&&\"drawrect\"===A)O.type=\"rect\",O.x0=C[0][1],O.y0=C[0][2],O.x1=C[2][1],O.y1=C[2][2];else if(C&&\"drawline\"===A)O.type=\"line\",O.x0=C[0][1],O.y0=C[0][2],O.x1=C[1][1],O.y1=C[1][2];else if(C&&\"drawcircle\"===A){O.type=\"circle\";var z=C[s][1],D=C[l][1],R=C[c][1],F=C[u][1],B=C[s][2],N=C[l][2],j=C[c][2],U=C[u][2],V=v.xaxis&&(\"date\"===v.xaxis.type||\"log\"===v.xaxis.type),q=v.yaxis&&(\"date\"===v.yaxis.type||\"log\"===v.yaxis.type);V&&(z=m(v.xaxis,z),D=m(v.xaxis,D),R=m(v.xaxis,R),F=m(v.xaxis,F)),q&&(B=m(v.yaxis,B),N=m(v.yaxis,N),j=m(v.yaxis,j),U=m(v.yaxis,U));var H=(D+F)/2,G=(B+j)/2,Y=b({x0:H,y0:G,x1:H+(F-D+R-z)/2*f,y1:G+(U-N+j-B)/2*h});V&&(Y.x0=d(v.xaxis,Y.x0),Y.x1=d(v.xaxis,Y.x1)),q&&(Y.y0=d(v.yaxis,Y.y0),Y.y1=d(v.yaxis,Y.y1)),O.x0=Y.x0,O.y0=Y.y0,O.x1=Y.x1,O.y1=Y.y1}else O.type=\"path\",_&&w&&function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"))}(I,_,w),O.path=x(I),C=null;g(o);for(var W=e.editHelpers,X=(W||{}).modifyItem,Z=[],J=0;J<S.length;J++){var K=o._fullLayout.shapes[J];if(Z[J]=K._input,void 0!==M&&J===o._fullLayout._activeShapeIndex){var Q=O;switch(K.type){case\"line\":case\"rect\":case\"circle\":X(\"x0\",Q.x0),X(\"x1\",Q.x1),X(\"y0\",Q.y0),X(\"y1\",Q.y1);break;case\"path\":X(\"path\",Q.path)}}}return void 0===M?(Z.push(O),Z):W?W.getUpdateObj():{}}}}},{\"../../../plots/cartesian/handle_outline\":860,\"../../../plots/cartesian/helpers\":861,\"../../dragelement/helpers\":680,\"./constants\":748,\"./helpers\":751}],753:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib\");r.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},r.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},r.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},r.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},r.extractPathCoords=function(t,e){var r=[];return t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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}}},{\"../../lib\":799,\"./constants\":744}],754:[function(t,e,r){\"use strict\";var n=t(\"./draw\");e.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),supplyDrawNewShapeDefaults:t(\"./draw_newshape/defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"shapes\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne}},{\"../../plots/cartesian/include_components\":862,\"./attributes\":742,\"./calc_autorange\":743,\"./defaults\":745,\"./draw\":746,\"./draw_newshape/defaults\":749}],755:[function(t,e,r){\"use strict\";var 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\":789,\"../../plot_api/edit_types\":831,\"../../plot_api/plot_template\":838,\"../../plots/animation_attributes\":843,\"../../plots/font_attributes\":878,\"../../plots/pad_attributes\":912,\"./constants\":756}],756:[function(t,e,r){\"use strict\";e.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},{}],757:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/array_container_defaults\"),a=t(\"./attributes\"),o=t(\"./constants\").name,s=a.steps;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}for(var s=i(t,e,{name:\"steps\",handleItemDefaults:c}),l=0,u=0;u<s.length;u++)s[u].visible&&l++;if(l<2?e.visible=!1:o(\"visible\")){e._stepCount=l;var f=e._visibleSteps=n.filterVisible(s);(s[o(\"active\")]||{}).visible||(e.active=f[0]._index),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"len\"),o(\"lenmode\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"currentvalue.visible\")&&(o(\"currentvalue.xanchor\"),o(\"currentvalue.prefix\"),o(\"currentvalue.suffix\"),o(\"currentvalue.offset\"),n.coerceFont(o,\"currentvalue.font\",e.font)),o(\"transition.duration\"),o(\"transition.easing\"),o(\"bgcolor\"),o(\"activebgcolor\"),o(\"bordercolor\"),o(\"borderwidth\"),o(\"ticklen\"),o(\"tickwidth\"),o(\"tickcolor\"),o(\"minorticklen\")}}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"./attributes\":755,\"./constants\":756}],758:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../color\"),o=t(\"../drawing\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../lib/svg_text_utils\"),u=t(\"../../plot_api/plot_template\").arrayEditor,f=t(\"./constants\"),h=t(\"../../constants/alignment\"),p=h.LINE_SPACING,d=h.FROM_TL,m=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function v(t){return t._index}function y(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var u=e._dims={};u.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;u.lx=h.l+h.w*e.x,u.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?u.outerLength=Math.round(h.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*f.stepInset)/(e._stepCount-1),v=a+f.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(v/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var y=o.tester.append(\"g\");r.each((function(t){var r=x(y,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,y.remove()}u.height=u.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(M,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function M(t,e,r){var i=r.node(),o=n.select(e);function s(){return r.data()[0]}t.on(\"mousedown\",(function(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=L(t,n.mouse(i)[0]);T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",(function(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)})),o.on(\"mouseup\",(function(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}))}))}function A(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(M,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(e,t),a=e._infolayer.selectAll(\"g.\"+f.containerClassName).data(r.length>0?[0]:[]);function s(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(a.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",\"ew-resize\"),a.exit().each((function(){n.select(this).selectAll(\"g.\"+f.groupClassName).each(s)})).remove(),0!==r.length){var l=a.selectAll(\"g.\"+f.groupClassName).data(r,v);l.enter().append(\"g\").classed(f.groupClassName,!0),l.exit().each(s).remove();for(var c=0;c<r.length;c++){var u=r[c];y(t,u)}l.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index);e.call(x,r).call(P,r).call(w,r).call(A,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},{\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plot_api/plot_template\":838,\"../../plots/plots\":913,\"../color\":662,\"../drawing\":684,\"./constants\":756,\"@plotly/d3\":58}],759:[function(t,e,r){\"use strict\";var n=t(\"./constants\");e.exports={moduleType:\"component\",name:n.name,layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),draw:t(\"./draw\")}},{\"./attributes\":755,\"./constants\":756,\"./defaults\":757,\"./draw\":758}],760:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"../../constants/interactions\"),p=t(\"../../constants/alignment\").OPPOSITE_SIDE,d=/ [XY][0-9]* /;e.exports={draw:function(t,e,r){var m,g=r.propContainer,v=r.propName,y=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,M=1,A=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,I=L.color;\"title.text\"===v?m=\"titleText\":-1!==v.indexOf(\"axis\")?m=\"axisTitleText\":v.indexOf(!0)&&(m=\"colorbarTitleText\");var O=t._context.edits[m];\"\"===E?M=0:E.replace(d,\" % \")===y.replace(d,\" % \")&&(M=.2,A=!0,O||(E=\"\")),r._meta?E=s.templateString(E,r._meta):k._meta&&(E=s.templateString(E,k._meta));var z=E||O;T||(T=s.ensureSingle(k._infolayer,\"g\",\"g-\"+e));var D=T.selectAll(\"text\").data(z?[0]:[]);if(D.enter().append(\"text\"),D.text(E).attr(\"class\",e),D.exit().remove(),!z)return T;function R(t){s.syncOrAsync([F,B],t)}function F(e){var r;return w?(r=\"\",w.rotate&&(r+=\"rotate(\"+[w.rotate,_.x,_.y]+\")\"),w.offset&&(r+=l(0,w.offset))):r=null,e.attr(\"transform\",r),e.style({\"font-family\":C,\"font-size\":n.round(P,2)+\"px\",fill:u.rgb(I),opacity:M*u.opacity(I),\"font-weight\":a.fontWeight}).attr(_).call(f.convertToTspans,t),a.previousPromises(t)}function B(t){var e=n.select(t.node().parentNode);if(b&&b.selection&&b.side&&E){e.attr(\"transform\",null);var r=p[b.side],a=\"left\"===b.side||\"top\"===b.side?-1:1,o=i(b.pad)?b.pad:2,u=c.bBox(e.node()),f={left:0,top:0,right:k.width,bottom:k.height},h=b.maxShift||a*(f[b.side]-u[b.side]),d=0;if(h<0)d=h;else{var m=b.offsetLeft||0,g=b.offsetTop||0;u.left-=m,u.right-=m,u.top-=g,u.bottom-=g,b.selection.each((function(){var t=c.bBox(this);s.bBoxIntersect(u,t,o)&&(d=Math.max(d,a*(t[b.side]-u[r])+o))})),d=Math.min(h,d)}if(d>0||h<0){var v={left:[-d,0],right:[d,0],top:[0,-d],bottom:[0,d]}[b.side];e.attr(\"transform\",l(v[0],v[1]))}}}return D.call(R),O&&(E?D.on(\".opacity\",null):(M=0,A=!0,D.text(y).on(\"mouseover.opacity\",(function(){n.select(this).transition().duration(h.SHOW_PLACEHOLDER).style(\"opacity\",1)})).on(\"mouseout.opacity\",(function(){n.select(this).transition().duration(h.HIDE_PLACEHOLDER).style(\"opacity\",0)}))),D.call(f.makeEditable,{gd:t}).on(\"edit\",(function(e){void 0!==x?o.call(\"_guiRestyle\",t,v,e,x):o.call(\"_guiRelayout\",t,v,e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(R)})).on(\"input\",(function(t){this.text(t||\" \").call(f.positionText,_.x,_.y)}))),D.classed(\"js-placeholder\",A),T}}},{\"../../constants/alignment\":767,\"../../constants/interactions\":774,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plots/plots\":913,\"../../registry\":927,\"../color\":662,\"../drawing\":684,\"@plotly/d3\":58,\"fast-isnumeric\":245}],761:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../color/attributes\"),a=t(\"../../lib/extend\").extendFlat,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/pad_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plot_api/plot_template\":838,\"../../plots/font_attributes\":878,\"../../plots/pad_attributes\":912,\"../color/attributes\":661}],762:[function(t,e,r){\"use strict\";e.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"\\u25c4\",right:\"\\u25ba\",up:\"\\u25b2\",down:\"\\u25bc\"}}},{}],763:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/array_container_defaults\"),a=t(\"./attributes\"),o=t(\"./constants\").name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"./attributes\":761,\"./constants\":762}],764:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../color\"),o=t(\"../drawing\"),s=t(\"../../lib\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../plot_api/plot_template\").arrayEditor,u=t(\"../../constants/alignment\").LINE_SPACING,f=t(\"./constants\"),h=t(\"./scrollbox\");function p(t){return t._index}function d(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,f.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?v(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(f.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||v(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",f.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,c=i.active,u=i.buttons[c]||f.blankHeaderOpts,h={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(y,i,u,t).call(A,i,h,p),s.ensureSingle(e,\"text\",f.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(f.arrowSymbol[i.direction])})).attr({x:l.headerWidth-f.arrowOffsetX+i.pad.l,y:l.headerHeight/2+f.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),v(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function v(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),h=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,v=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=v.headerHeight+f.gapButtonHeader:d=v.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-v.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-v.openWidth);var b={x:v.lx+d+o.pad.l,y:v.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(y,o,s,t).call(A,o,b),c.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),c.on(\"mouseover\",(function(){c.call(w)})),c.on(\"mouseout\",(function(){c.call(T,o),u.call(_,o)}))})),u.call(_,o),x?(k.w=Math.max(v.openWidth,v.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(v.openHeight,v.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\"up\"===c||\"down\"===c,h=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else for(o=0,l=0;l<p;l++)o+=h.widths[l]+f.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\");n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()}));r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function y(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(y,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),m=e.font.size*u,g=l.lineCount(h),v=Math.max(m*g,f.minHeight)+f.textOffsetY;v=Math.ceil(v),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=v,r.height1=Math.max(r.height1,v),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=v+f.gapButton,r.openHeight+=v+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,v),r.openHeight=r.totalHeight)})),c?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var m=\"left\";s.isRightAnchor(e)&&(r.lx-=h,m=\"right\"),s.isCenterAnchor(e)&&(r.lx-=h/2,m=\"center\");var g=\"top\";s.isBottomAnchor(e)&&(r.ly-=p,g=\"bottom\"),s.isMiddleAnchor(e)&&(r.ly-=p/2,g=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,M(e),{x:e.x,y:e.y,l:h*({right:1,center:.5}[m]||0),r:h*({left:1,center:.5}[m]||0),b:p*({top:1,middle:.5}[g]||0),t:p*({bottom:1,middle:.5}[g]||0)})}function M(t){return f.autoMarginIdRoot+t._index}function A(t,e,r,n){n=n||{};var i=t.select(\".\"+f.itemRectClassName),a=t.select(\".\"+f.itemTextClassName),s=e.borderwidth,c=r.index,h=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==[\"up\",\"down\"].indexOf(e.direction),d=n.height||(p?h.heights[c]:h.height1);i.attr({x:0,y:0,width:n.width||(p?h.width1:h.widths[c]),height:d});var m=e.font.size*u,g=(l.lineCount(a)-1)*m/2;l.positionText(a,f.textOffsetX,d/2-g+f.textOffsetY),p?r.y+=h.heights[c]+r.yPad:r.x+=h.widths[c]+r.xPad,r.index++}function S(t,e){t.attr(f.menuIndexAttrName,e||\"-1\").selectAll(\"g.\"+f.dropdownButtonClassName).remove()}e.exports=function(t){var e=t._fullLayout,r=s.filterVisible(e[f.name]);function a(e){i.autoMargin(t,M(e))}var o=e._menulayer.selectAll(\"g.\"+f.containerClassName).data(r.length>0?[0]:[]);if(o.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",\"pointer\"),o.exit().each((function(){n.select(this).selectAll(\"g.\"+f.headerGroupClassName).each(a)})).remove(),0!==r.length){var l=o.selectAll(\"g.\"+f.headerGroupClassName).data(r,p);l.enter().append(\"g\").classed(f.headerGroupClassName,!0);for(var c=s.ensureSingle(o,\"g\",f.dropdownButtonGroupClassName,(function(t){t.style(\"pointer-events\",\"all\")})),u=0;u<r.length;u++){var y=r[u];k(t,y)}var x=\"updatemenus\"+e._uid,b=new h(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,b,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,c,b,e),d(c,e)&&v(t,r,c,b,e)):v(t,r,null,null,e)}))}}},{\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plot_api/plot_template\":838,\"../../plots/plots\":913,\"../color\":662,\"../drawing\":684,\"./constants\":762,\"./scrollbox\":766,\"@plotly/d3\":58}],765:[function(t,e,r){arguments[4][759][0].apply(r,arguments)},{\"./attributes\":761,\"./constants\":762,\"./defaults\":763,\"./draw\":764,dup:759}],766:[function(t,e,r){\"use strict\";e.exports=s;var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"../drawing\"),o=t(\"../../lib\");function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,f,h,p,d=this.position.l,m=this.position.w,g=this.position.t,v=this.position.h,y=this.position.direction,x=\"down\"===y,b=\"left\"===y,_=\"up\"===y,w=m,T=v;x||b||\"right\"===y||_||(this.position.direction=\"down\",x=!0),x||_?(f=(u=d)+w,x?(h=g,T=(p=Math.min(h+T,c))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(u=Math.max(f-w,0)):(u=d,w=(f=Math.min(u+w,l))-u)),this._box={l:u,t:h,w:w,h:T};var k=m>w,M=s.barLength+2*s.barPad,A=s.barWidth+2*s.barPad,S=d,E=g+v;E+A>c&&(E=c-A);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:M,height:A}),this._hbarXMin=S+M/2,this._hbarTranslateMax=w-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=v>T,P=s.barWidth+2*s.barPad,I=s.barLength+2*s.barPad,O=d+m,z=g;O+P>l&&(O=l-P);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:O,y:z,width:P,height:I}),this._vbarYMin=z+I/2,this._vbarTranslateMax=T-I):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+A+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:v})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{\"../../lib\":799,\"../color\":662,\"../drawing\":684,\"@plotly/d3\":58}],767:[function(t,e,r){\"use strict\";e.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},{}],768:[function(t,e,r){\"use strict\";e.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. If set to *paper*, the `\"+t+\"`\",\"position refers to the distance from the\",e,\"of the plotting\",\"area in normalized coordinates where *0* (*1*) corresponds to the\",e,\"(\"+r+\"). If set to a\",t,\"axis ID followed by\",\"*domain* (separated by a space), the position behaves like for\",\"*paper*, but refers to the distance in fractions of the domain\",\"length from the\",e,\"of the domain of that axis: e.g.,\",\"*\"+t+\"2 domain* refers to the domain of the second\",t,\" axis and a\",t,\"position of 0.5 refers to the\",\"point between the\",e,\"and the\",r,\"of the domain of the\",\"second\",t,\"axis.\"].join(\" \")}}},{}],769:[function(t,e,r){\"use strict\";e.exports={INCREASING:{COLOR:\"#3D9970\",SYMBOL:\"\\u25b2\"},DECREASING:{COLOR:\"#FF4136\",SYMBOL:\"\\u25bc\"}}},{}],770:[function(t,e,r){\"use strict\";e.exports={FORMAT_LINK:\"https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format\",DATE_FORMAT_LINK:\"https://github.com/d3/d3-time-format#locale_format\"}},{}],771:[function(t,e,r){\"use strict\";e.exports={COMPARISON_OPS:[\"=\",\"!=\",\"<\",\">=\",\">\",\"<=\"],COMPARISON_OPS2:[\"=\",\"<\",\">=\",\">\",\"<=\"],INTERVAL_OPS:[\"[]\",\"()\",\"[)\",\"(]\",\"][\",\")(\",\"](\",\")[\"],SET_OPS:[\"{}\",\"}{\"],CONSTRAINT_REDUCTION:{\"=\":\"=\",\"<\":\"<\",\"<=\":\"<\",\">\":\">\",\">=\":\">\",\"[]\":\"[]\",\"()\":\"[]\",\"[)\":\"[]\",\"(]\":\"[]\",\"][\":\"][\",\")(\":\"][\",\"](\":\"][\",\")[\":\"][\"}}},{}],772:[function(t,e,r){\"use strict\";e.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}},{}],773:[function(t,e,r){\"use strict\";e.exports={circle:\"\\u25cf\",\"circle-open\":\"\\u25cb\",square:\"\\u25a0\",\"square-open\":\"\\u25a1\",diamond:\"\\u25c6\",\"diamond-open\":\"\\u25c7\",cross:\"+\",x:\"\\u274c\"}},{}],774:[function(t,e,r){\"use strict\";e.exports={SHOW_PLACEHOLDER:100,HIDE_PLACEHOLDER:1e3,DESELECTDIM:.2}},{}],775:[function(t,e,r){\"use strict\";e.exports={BADNUM:void 0,FP_SAFE:1e-4*Number.MAX_VALUE,ONEMAXYEAR:316224e5,ONEAVGYEAR:315576e5,ONEMINYEAR:31536e6,ONEMAXQUARTER:79488e5,ONEAVGQUARTER:78894e5,ONEMINQUARTER:76896e5,ONEMAXMONTH:26784e5,ONEAVGMONTH:26298e5,ONEMINMONTH:24192e5,ONEWEEK:6048e5,ONEDAY:864e5,ONEHOUR:36e5,ONEMIN:6e4,ONESEC:1e3,EPOCHJD:2440587.5,ALMOST_EQUAL:.999999,LOG_CLIP:10,MINUS_SIGN:\"\\u2212\"}},{}],776:[function(t,e,r){\"use strict\";r.xmlns=\"http://www.w3.org/2000/xmlns/\",r.svg=\"http://www.w3.org/2000/svg\",r.xlink=\"http://www.w3.org/1999/xlink\",r.svgAttrs={xmlns:r.svg,\"xmlns:xlink\":r.xlink}},{}],777:[function(t,e,r){\"use strict\";r.version=t(\"./version\").version,t(\"native-promise-only\"),t(\"../build/plotcss\");for(var n=t(\"./registry\"),i=r.register=n.register,a=t(\"./plot_api\"),o=Object.keys(a),s=0;s<o.length;s++){var l=o[s];\"_\"!==l.charAt(0)&&(r[l]=a[l]),i({moduleType:\"apiMethod\",name:l,fn:a[l]})}i(t(\"./traces/scatter\")),i([t(\"./components/legend\"),t(\"./components/fx\"),t(\"./components/annotations\"),t(\"./components/annotations3d\"),t(\"./components/shapes\"),t(\"./components/images\"),t(\"./components/updatemenus\"),t(\"./components/sliders\"),t(\"./components/rangeslider\"),t(\"./components/rangeselector\"),t(\"./components/grid\"),t(\"./components/errorbars\"),t(\"./components/colorscale\"),t(\"./components/colorbar\"),t(\"./components/modebar\")]),i([t(\"./locale-en\"),t(\"./locale-en-us\")]),window.PlotlyLocales&&Array.isArray(window.PlotlyLocales)&&(i(window.PlotlyLocales),delete window.PlotlyLocales),r.Icons=t(\"./fonts/ploticon\");var c=t(\"./components/fx\"),u=t(\"./plots/plots\");r.Plots={resize:u.resize,graphJson:u.graphJson,sendDataToCloud:u.sendDataToCloud},r.Fx={hover:c.hover,unhover:c.unhover,loneHover:c.loneHover,loneUnhover:c.loneUnhover},r.Snapshot=t(\"./snapshot\"),r.PlotSchema=t(\"./plot_api/plot_schema\")},{\"../build/plotcss\":1,\"./components/annotations\":653,\"./components/annotations3d\":658,\"./components/colorbar\":668,\"./components/colorscale\":674,\"./components/errorbars\":690,\"./components/fx\":702,\"./components/grid\":706,\"./components/images\":711,\"./components/legend\":719,\"./components/modebar\":725,\"./components/rangeselector\":733,\"./components/rangeslider\":740,\"./components/shapes\":754,\"./components/sliders\":759,\"./components/updatemenus\":765,\"./fonts/ploticon\":778,\"./locale-en\":829,\"./locale-en-us\":828,\"./plot_api\":833,\"./plot_api/plot_schema\":837,\"./plots/plots\":913,\"./registry\":927,\"./snapshot\":932,\"./traces/scatter\":1226,\"./version\":1400,\"native-promise-only\":470}],778:[function(t,e,r){\"use strict\";e.exports={undo:{width:857.1,height:1e3,path:\"m857 350q0-87-34-166t-91-137-137-92-166-34q-96 0-183 41t-147 114q-4 6-4 13t5 11l76 77q6 5 14 5 9-1 13-7 41-53 100-82t126-29q58 0 110 23t92 61 61 91 22 111-22 111-61 91-92 61-110 23q-55 0-105-20t-90-57l77-77q17-16 8-38-10-23-33-23h-250q-15 0-25 11t-11 25v250q0 24 22 33 22 10 39-8l72-72q60 57 137 88t159 31q87 0 166-34t137-92 91-137 34-166z\",transform:\"matrix(1 0 0 -1 0 850)\"},home:{width:928.6,height:1e3,path:\"m786 296v-267q0-15-11-26t-25-10h-214v214h-143v-214h-214q-15 0-25 10t-11 26v267q0 1 0 2t0 2l321 264 321-264q1-1 1-4z m124 39l-34-41q-5-5-12-6h-2q-7 0-12 3l-386 322-386-322q-7-4-13-4-7 2-12 7l-35 41q-4 5-3 13t6 12l401 334q18 15 42 15t43-15l136-114v109q0 8 5 13t13 5h107q8 0 13-5t5-13v-227l122-102q5-5 6-12t-4-13z\",transform:\"matrix(1 0 0 -1 0 850)\"},\"camera-retro\":{width:1e3,height:1e3,path:\"m518 386q0 8-5 13t-13 5q-37 0-63-27t-26-63q0-8 5-13t13-5 12 5 5 13q0 23 16 38t38 16q8 0 13 5t5 13z m125-73q0-59-42-101t-101-42-101 42-42 101 42 101 101 42 101-42 42-101z m-572-320h858v71h-858v-71z m643 320q0 89-62 152t-152 62-151-62-63-152 63-151 151-63 152 63 62 151z m-571 358h214v72h-214v-72z m-72-107h858v143h-462l-36-71h-360v-72z m929 143v-714q0-30-21-51t-50-21h-858q-29 0-50 21t-21 51v714q0 30 21 51t50 21h858q29 0 50-21t21-51z\",transform:\"matrix(1 0 0 -1 0 850)\"},zoombox:{width:1e3,height:1e3,path:\"m1000-25l-250 251c40 63 63 138 63 218 0 224-182 406-407 406-224 0-406-182-406-406s183-406 407-406c80 0 155 22 218 62l250-250 125 125z m-812 250l0 438 437 0 0-438-437 0z m62 375l313 0 0-312-313 0 0 312z\",transform:\"matrix(1 0 0 -1 0 850)\"},pan:{width:1e3,height:1e3,path:\"m1000 350l-187 188 0-125-250 0 0 250 125 0-188 187-187-187 125 0 0-250-250 0 0 125-188-188 186-187 0 125 252 0 0-250-125 0 187-188 188 188-125 0 0 250 250 0 0-126 187 188z\",transform:\"matrix(1 0 0 -1 0 850)\"},zoom_plus:{width:875,height:1e3,path:\"m1 787l0-875 875 0 0 875-875 0z m687-500l-187 0 0-187-125 0 0 187-188 0 0 125 188 0 0 187 125 0 0-187 187 0 0-125z\",transform:\"matrix(1 0 0 -1 0 850)\"},zoom_minus:{width:875,height:1e3,path:\"m0 788l0-876 875 0 0 876-875 0z m688-500l-500 0 0 125 500 0 0-125z\",transform:\"matrix(1 0 0 -1 0 850)\"},autoscale:{width:1e3,height:1e3,path:\"m250 850l-187 0-63 0 0-62 0-188 63 0 0 188 187 0 0 62z m688 0l-188 0 0-62 188 0 0-188 62 0 0 188 0 62-62 0z m-875-938l0 188-63 0 0-188 0-62 63 0 187 0 0 62-187 0z m875 188l0-188-188 0 0-62 188 0 62 0 0 62 0 188-62 0z m-125 188l-1 0-93-94-156 156 156 156 92-93 2 0 0 250-250 0 0-2 93-92-156-156-156 156 94 92 0 2-250 0 0-250 0 0 93 93 157-156-157-156-93 94 0 0 0-250 250 0 0 0-94 93 156 157 156-157-93-93 0 0 250 0 0 250z\",transform:\"matrix(1 0 0 -1 0 850)\"},tooltip_basic:{width:1500,height:1e3,path:\"m375 725l0 0-375-375 375-374 0-1 1125 0 0 750-1125 0z\",transform:\"matrix(1 0 0 -1 0 850)\"},tooltip_compare:{width:1125,height:1e3,path:\"m187 786l0 2-187-188 188-187 0 0 937 0 0 373-938 0z m0-499l0 1-187-188 188-188 0 0 937 0 0 376-938-1z\",transform:\"matrix(1 0 0 -1 0 850)\"},plotlylogo:{width:1542,height:1e3,path:\"m0-10h182v-140h-182v140z m228 146h183v-286h-183v286z m225 714h182v-1000h-182v1000z m225-285h182v-715h-182v715z m225 142h183v-857h-183v857z m231-428h182v-429h-182v429z m225-291h183v-138h-183v138z\",transform:\"matrix(1 0 0 -1 0 850)\"},\"z-axis\":{width:1e3,height:1e3,path:\"m833 5l-17 108v41l-130-65 130-66c0 0 0 38 0 39 0-1 36-14 39-25 4-15-6-22-16-30-15-12-39-16-56-20-90-22-187-23-279-23-261 0-341 34-353 59 3 60 228 110 228 110-140-8-351-35-351-116 0-120 293-142 474-142 155 0 477 22 477 142 0 50-74 79-163 96z m-374 94c-58-5-99-21-99-40 0-24 65-43 144-43 79 0 143 19 143 43 0 19-42 34-98 40v216h87l-132 135-133-135h88v-216z m167 515h-136v1c16 16 31 34 46 52l84 109v54h-230v-71h124v-1c-16-17-28-32-44-51l-89-114v-51h245v72z\",transform:\"matrix(1 0 0 -1 0 850)\"},\"3d_rotate\":{width:1e3,height:1e3,path:\"m922 660c-5 4-9 7-14 11-359 263-580-31-580-31l-102 28 58-400c0 1 1 1 2 2 118 108 351 249 351 249s-62 27-100 42c88 83 222 183 347 122 16-8 30-17 44-27-2 1-4 2-6 4z m36-329c0 0 64 229-88 296-62 27-124 14-175-11 157-78 225-208 249-266 8-19 11-31 11-31 2 5 6 15 11 32-5-13-8-20-8-20z m-775-239c70-31 117-50 198-32-121 80-199 346-199 346l-96-15-58-12c0 0 55-226 155-287z m603 133l-317-139c0 0 4-4 19-14 7-5 24-15 24-15s-177-147-389 4c235-287 536-112 536-112l31-22 100 299-4-1z m-298-153c6-4 14-9 24-15 0 0-17 10-24 15z\",transform:\"matrix(1 0 0 -1 0 850)\"},camera:{width:1e3,height:1e3,path:\"m500 450c-83 0-150-67-150-150 0-83 67-150 150-150 83 0 150 67 150 150 0 83-67 150-150 150z m400 150h-120c-16 0-34 13-39 29l-31 93c-6 15-23 28-40 28h-340c-16 0-34-13-39-28l-31-94c-6-15-23-28-40-28h-120c-55 0-100-45-100-100v-450c0-55 45-100 100-100h800c55 0 100 45 100 100v450c0 55-45 100-100 100z m-400-550c-138 0-250 112-250 250 0 138 112 250 250 250 138 0 250-112 250-250 0-138-112-250-250-250z m365 380c-19 0-35 16-35 35 0 19 16 35 35 35 19 0 35-16 35-35 0-19-16-35-35-35z\",transform:\"matrix(1 0 0 -1 0 850)\"},movie:{width:1e3,height:1e3,path:\"m938 413l-188-125c0 37-17 71-44 94 64 38 107 107 107 187 0 121-98 219-219 219-121 0-219-98-219-219 0-61 25-117 66-156h-115c30 33 49 76 49 125 0 103-84 187-187 187s-188-84-188-187c0-57 26-107 65-141-38-22-65-62-65-109v-250c0-70 56-126 125-126h500c69 0 125 56 125 126l188-126c34 0 62 28 62 63v375c0 35-28 63-62 63z m-750 0c-69 0-125 56-125 125s56 125 125 125 125-56 125-125-56-125-125-125z m406-1c-87 0-157 70-157 157 0 86 70 156 157 156s156-70 156-156-70-157-156-157z\",transform:\"matrix(1 0 0 -1 0 850)\"},question:{width:857.1,height:1e3,path:\"m500 82v107q0 8-5 13t-13 5h-107q-8 0-13-5t-5-13v-107q0-8 5-13t13-5h107q8 0 13 5t5 13z m143 375q0 49-31 91t-77 65-95 23q-136 0-207-119-9-14 4-24l74-55q4-4 10-4 9 0 14 7 30 38 48 51 19 14 48 14 27 0 48-15t21-33q0-21-11-34t-38-25q-35-16-65-48t-29-70v-20q0-8 5-13t13-5h107q8 0 13 5t5 13q0 10 12 27t30 28q18 10 28 16t25 19 25 27 16 34 7 45z m214-107q0-117-57-215t-156-156-215-58-216 58-155 156-58 215 58 215 155 156 216 58 215-58 156-156 57-215z\",transform:\"matrix(1 0 0 -1 0 850)\"},disk:{width:857.1,height:1e3,path:\"m214-7h429v214h-429v-214z m500 0h72v500q0 8-6 21t-11 20l-157 156q-5 6-19 12t-22 5v-232q0-22-15-38t-38-16h-322q-22 0-37 16t-16 38v232h-72v-714h72v232q0 22 16 38t37 16h465q22 0 38-16t15-38v-232z m-214 518v178q0 8-5 13t-13 5h-107q-7 0-13-5t-5-13v-178q0-8 5-13t13-5h107q7 0 13 5t5 13z m357-18v-518q0-22-15-38t-38-16h-750q-23 0-38 16t-16 38v750q0 22 16 38t38 16h517q23 0 50-12t42-26l156-157q16-15 27-42t11-49z\",transform:\"matrix(1 0 0 -1 0 850)\"},drawopenpath:{width:70,height:70,path:\"M33.21,85.65a7.31,7.31,0,0,1-2.59-.48c-8.16-3.11-9.27-19.8-9.88-41.3-.1-3.58-.19-6.68-.35-9-.15-2.1-.67-3.48-1.43-3.79-2.13-.88-7.91,2.32-12,5.86L3,32.38c1.87-1.64,11.55-9.66,18.27-6.9,2.13.87,4.75,3.14,5.17,9,.17,2.43.26,5.59.36,9.25a224.17,224.17,0,0,0,1.5,23.4c1.54,10.76,4,12.22,4.48,12.4.84.32,2.79-.46,5.76-3.59L43,80.07C41.53,81.57,37.68,85.64,33.21,85.65ZM74.81,69a11.34,11.34,0,0,0,6.09-6.72L87.26,44.5,74.72,32,56.9,38.35c-2.37.86-5.57,3.42-6.61,6L38.65,72.14l8.42,8.43ZM55,46.27a7.91,7.91,0,0,1,3.64-3.17l14.8-5.3,8,8L76.11,60.6l-.06.19a6.37,6.37,0,0,1-3,3.43L48.25,74.59,44.62,71Zm16.57,7.82A6.9,6.9,0,1,0,64.64,61,6.91,6.91,0,0,0,71.54,54.09Zm-4.05,0a2.85,2.85,0,1,1-2.85-2.85A2.86,2.86,0,0,1,67.49,54.09Zm-4.13,5.22L60.5,56.45,44.26,72.7l2.86,2.86ZM97.83,35.67,84.14,22l-8.57,8.57L89.26,44.24Zm-13.69-8,8,8-2.85,2.85-8-8Z\",transform:\"matrix(1 0 0 1 -15 -15)\"},drawclosedpath:{width:90,height:90,path:\"M88.41,21.12a26.56,26.56,0,0,0-36.18,0l-2.07,2-2.07-2a26.57,26.57,0,0,0-36.18,0,23.74,23.74,0,0,0,0,34.8L48,90.12a3.22,3.22,0,0,0,4.42,0l36-34.21a23.73,23.73,0,0,0,0-34.79ZM84,51.24,50.16,83.35,16.35,51.25a17.28,17.28,0,0,1,0-25.47,20,20,0,0,1,27.3,0l4.29,4.07a3.23,3.23,0,0,0,4.44,0l4.29-4.07a20,20,0,0,1,27.3,0,17.27,17.27,0,0,1,0,25.46ZM66.76,47.68h-33v6.91h33ZM53.35,35H46.44V68h6.91Z\",transform:\"matrix(1 0 0 1 -5 -5)\"},lasso:{width:1031,height:1e3,path:\"m1018 538c-36 207-290 336-568 286-277-48-473-256-436-463 10-57 36-108 76-151-13-66 11-137 68-183 34-28 75-41 114-42l-55-70 0 0c-2-1-3-2-4-3-10-14-8-34 5-45 14-11 34-8 45 4 1 1 2 3 2 5l0 0 113 140c16 11 31 24 45 40 4 3 6 7 8 11 48-3 100 0 151 9 278 48 473 255 436 462z m-624-379c-80 14-149 48-197 96 42 42 109 47 156 9 33-26 47-66 41-105z m-187-74c-19 16-33 37-39 60 50-32 109-55 174-68-42-25-95-24-135 8z m360 75c-34-7-69-9-102-8 8 62-16 128-68 170-73 59-175 54-244-5-9 20-16 40-20 61-28 159 121 317 333 354s407-60 434-217c28-159-121-318-333-355z\",transform:\"matrix(1 0 0 -1 0 850)\"},selectbox:{width:1e3,height:1e3,path:\"m0 850l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m285 0l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m-857-286l0-143 143 0 0 143-143 0z m857 0l0-143 143 0 0 143-143 0z m-857-285l0-143 143 0 0 143-143 0z m857 0l0-143 143 0 0 143-143 0z m-857-286l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m285 0l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z\",transform:\"matrix(1 0 0 -1 0 850)\"},drawline:{width:70,height:70,path:\"M60.64,62.3a11.29,11.29,0,0,0,6.09-6.72l6.35-17.72L60.54,25.31l-17.82,6.4c-2.36.86-5.57,3.41-6.6,6L24.48,65.5l8.42,8.42ZM40.79,39.63a7.89,7.89,0,0,1,3.65-3.17l14.79-5.31,8,8L61.94,54l-.06.19a6.44,6.44,0,0,1-3,3.43L34.07,68l-3.62-3.63Zm16.57,7.81a6.9,6.9,0,1,0-6.89,6.9A6.9,6.9,0,0,0,57.36,47.44Zm-4,0a2.86,2.86,0,1,1-2.85-2.85A2.86,2.86,0,0,1,53.32,47.44Zm-4.13,5.22L46.33,49.8,30.08,66.05l2.86,2.86ZM83.65,29,70,15.34,61.4,23.9,75.09,37.59ZM70,21.06l8,8-2.84,2.85-8-8ZM87,80.49H10.67V87H87Z\",transform:\"matrix(1 0 0 1 -15 -15)\"},drawrect:{width:80,height:80,path:\"M78,22V79H21V22H78m9-9H12V88H87V13ZM68,46.22H31V54H68ZM53,32H45.22V69H53Z\",transform:\"matrix(1 0 0 1 -10 -10)\"},drawcircle:{width:80,height:80,path:\"M50,84.72C26.84,84.72,8,69.28,8,50.3S26.84,15.87,50,15.87,92,31.31,92,50.3,73.16,84.72,50,84.72Zm0-60.59c-18.6,0-33.74,11.74-33.74,26.17S31.4,76.46,50,76.46,83.74,64.72,83.74,50.3,68.6,24.13,50,24.13Zm17.15,22h-34v7.11h34Zm-13.8-13H46.24v34h7.11Z\",transform:\"matrix(1 0 0 1 -10 -10)\"},eraseshape:{width:80,height:80,path:\"M82.77,78H31.85L6,49.57,31.85,21.14H82.77a8.72,8.72,0,0,1,8.65,8.77V69.24A8.72,8.72,0,0,1,82.77,78ZM35.46,69.84H82.77a.57.57,0,0,0,.49-.6V29.91a.57.57,0,0,0-.49-.61H35.46L17,49.57Zm32.68-34.7-24,24,5,5,24-24Zm-19,.53-5,5,24,24,5-5Z\",transform:\"matrix(1 0 0 1 -10 -10)\"},spikeline:{width:1e3,height:1e3,path:\"M512 409c0-57-46-104-103-104-57 0-104 47-104 104 0 57 47 103 104 103 57 0 103-46 103-103z m-327-39l92 0 0 92-92 0z m-185 0l92 0 0 92-92 0z m370-186l92 0 0 93-92 0z m0-184l92 0 0 92-92 0z\",transform:\"matrix(1.5 0 0 -1.5 0 850)\"},pencil:{width:1792,height:1792,path:\"M491 1536l91-91-235-235-91 91v107h128v128h107zm523-928q0-22-22-22-10 0-17 7l-542 542q-7 7-7 17 0 22 22 22 10 0 17-7l542-542q7-7 7-17zm-54-192l416 416-832 832h-416v-416zm683 96q0 53-37 90l-166 166-416-416 166-165q36-38 90-38 53 0 91 38l235 234q37 39 37 91z\",transform:\"matrix(1 0 0 1 0 1)\"},newplotlylogo:{name:\"newplotlylogo\",svg:\"<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 132 132'><defs><style>.cls-1 {fill: #3f4f75;} .cls-2 {fill: #80cfbe;} .cls-3 {fill: #fff;}</style></defs><title>plotly-logomark</title><g id='symbol'><rect class='cls-1' width='132' height='132' rx='6' ry='6'/><circle class='cls-2' cx='78' cy='54' r='6'/><circle class='cls-2' cx='102' cy='30' r='6'/><circle class='cls-2' cx='78' cy='30' r='6'/><circle class='cls-2' cx='54' cy='30' r='6'/><circle class='cls-2' cx='30' cy='30' r='6'/><circle class='cls-2' cx='30' cy='54' r='6'/><path class='cls-3' d='M30,72a6,6,0,0,0-6,6v24a6,6,0,0,0,12,0V78A6,6,0,0,0,30,72Z'/><path class='cls-3' d='M78,72a6,6,0,0,0-6,6v24a6,6,0,0,0,12,0V78A6,6,0,0,0,78,72Z'/><path class='cls-3' d='M54,48a6,6,0,0,0-6,6v48a6,6,0,0,0,12,0V54A6,6,0,0,0,54,48Z'/><path class='cls-3' d='M102,48a6,6,0,0,0-6,6v48a6,6,0,0,0,12,0V54A6,6,0,0,0,102,48Z'/></g></svg>\"}}},{}],779:[function(t,e,r){\"use strict\";r.isLeftAnchor=function(t){return\"left\"===t.xanchor||\"auto\"===t.xanchor&&t.x<=1/3},r.isCenterAnchor=function(t){return\"center\"===t.xanchor||\"auto\"===t.xanchor&&t.x>1/3&&t.x<2/3},r.isRightAnchor=function(t){return\"right\"===t.xanchor||\"auto\"===t.xanchor&&t.x>=2/3},r.isTopAnchor=function(t){return\"top\"===t.yanchor||\"auto\"===t.yanchor&&t.y>=2/3},r.isMiddleAnchor=function(t){return\"middle\"===t.yanchor||\"auto\"===t.yanchor&&t.y>1/3&&t.y<2/3},r.isBottomAnchor=function(t){return\"bottom\"===t.yanchor||\"auto\"===t.yanchor&&t.y<=1/3}},{}],780:[function(t,e,r){\"use strict\";var n=t(\"./mod\"),i=n.mod,a=n.modHalf,o=Math.PI,s=2*o;function l(t){return Math.abs(t[1]-t[0])>s-1e-14}function c(t,e){return a(e-t,s)}function u(t,e){if(l(e))return!0;var r,n;e[0]<e[1]?(r=e[0],n=e[1]):(r=e[1],n=e[0]),(r=i(r,s))>(n=i(n,s))&&(n+=s);var a=i(t,s),o=a+s;return a>=r&&a<=n||o>=r&&o<=n}function f(t,e,r,n,i,a,c){i=i||0,a=a||0;var u,f,h,p,d,m=l([r,n]);function g(t,e){return[t*Math.cos(e)+i,a-t*Math.sin(e)]}m?(u=0,f=o,h=s):r<n?(u=r,h=n):(u=n,h=r),t<e?(p=t,d=e):(p=e,d=t);var v,y=Math.abs(h-u)<=o?0:1;function x(t,e,r){return\"A\"+[t,t]+\" \"+[0,y,r]+\" \"+g(t,e)}return m?v=null===p?\"M\"+g(d,u)+x(d,f,0)+x(d,h,0)+\"Z\":\"M\"+g(p,u)+x(p,f,0)+x(p,h,0)+\"ZM\"+g(d,u)+x(d,f,1)+x(d,h,1)+\"Z\":null===p?(v=\"M\"+g(d,u)+x(d,h,0),c&&(v+=\"L0,0Z\")):v=\"M\"+g(p,u)+\"L\"+g(d,u)+x(d,h,0)+\"L\"+g(p,h)+x(p,u,1)+\"Z\",v}e.exports={deg2rad:function(t){return t/180*o},rad2deg:function(t){return t/o*180},angleDelta:c,angleDist:function(t,e){return Math.abs(c(t,e))},isFullCircle:l,isAngleInsideSector:u,isPtInsideSector:function(t,e,r,n){return!!u(e,n)&&(r[0]<r[1]?(i=r[0],a=r[1]):(i=r[1],a=r[0]),t>=i&&t<=a);var i,a},pathArc:function(t,e,r,n,i){return f(null,t,e,r,n,i,0)},pathSector:function(t,e,r,n,i){return f(null,t,e,r,n,i,1)},pathAnnulus:function(t,e,r,n,i,a){return f(t,e,r,n,i,a,1)}}},{\"./mod\":806}],781:[function(t,e,r){\"use strict\";var n=Array.isArray,i=ArrayBuffer,a=DataView;function o(t){return i.isView(t)&&!(t instanceof a)}function s(t){return n(t)||o(t)}function l(t,e,r){if(s(t)){if(s(t[0])){for(var n=r,i=0;i<t.length;i++)n=e(n,t[i].length);return n}return t.length}return 0}r.isTypedArray=o,r.isArrayOrTypedArray=s,r.isArray1D=function(t){return!s(t[0])},r.ensureArray=function(t,e){return n(t)||(t=[]),t.length=e,t},r.concat=function(){var t,e,r,i,a,o,s,l,c=[],u=!0,f=0;for(r=0;r<arguments.length;r++)(o=(i=arguments[r]).length)&&(e?c.push(i):(e=i,a=o),n(i)?t=!1:(u=!1,f?t!==i.constructor&&(t=!1):t=i.constructor),f+=o);if(!f)return[];if(!c.length)return e;if(u)return e.concat.apply(e,c);if(t){for((s=new t(f)).set(e),r=0;r<c.length;r++)i=c[r],s.set(i,a),a+=i.length;return s}for(s=new Array(f),l=0;l<e.length;l++)s[l]=e[l];for(r=0;r<c.length;r++){for(i=c[r],l=0;l<i.length;l++)s[a+l]=i[l];a+=l}return s},r.maxRowLength=function(t){return l(t,Math.max,0)},r.minRowLength=function(t){return l(t,Math.min,1/0)}},{}],782:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../constants/numerical\").BADNUM,a=/^['\"%,$#\\s']+|[, ]|['\"%,$#\\s']+$/g;e.exports=function(t){return\"string\"==typeof t&&(t=t.replace(a,\"\")),n(t)?Number(t):i}},{\"../constants/numerical\":775,\"fast-isnumeric\":245}],783:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t._fullLayout;e._glcanvas&&e._glcanvas.size()&&e._glcanvas.each((function(t){t.regl&&t.regl.clear({color:!0,depth:!0})}))}},{}],784:[function(t,e,r){\"use strict\";e.exports=function(t){t._responsiveChartHandler&&(window.removeEventListener(\"resize\",t._responsiveChartHandler),delete t._responsiveChartHandler)}},{}],785:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../plots/attributes\"),o=t(\"../components/colorscale/scales\"),s=t(\"../components/color\"),l=t(\"../constants/interactions\").DESELECTDIM,c=t(\"./nested_property\"),u=t(\"./regex\").counter,f=t(\"./mod\").modHalf,h=t(\"./array\").isArrayOrTypedArray;function p(t,e){var n=r.valObjectMeta[e.valType];if(e.arrayOk&&h(t))return!0;if(n.validateFunction)return n.validateFunction(t,e);var i={},a=i,o={set:function(t){a=t}};return n.coerceFunction(t,o,i,e),a!==i}r.valObjectMeta={data_array:{coerceFunction:function(t,e,r){h(t)?e.set(t):void 0!==r&&e.set(r)}},enumerated:{coerceFunction:function(t,e,r,n){n.coerceNumber&&(t=+t),-1===n.values.indexOf(t)?e.set(r):e.set(t)},validateFunction:function(t,e){e.coerceNumber&&(t=+t);for(var r=e.values,n=0;n<r.length;n++){var i=String(r[n]);if(\"/\"===i.charAt(0)&&\"/\"===i.charAt(i.length-1)){if(new RegExp(i.substr(1,i.length-2)).test(t))return!0}else if(t===r[n])return!0}return!1}},boolean:{coerceFunction:function(t,e,r){!0===t||!1===t?e.set(t):e.set(r)}},number:{coerceFunction:function(t,e,r,i){!n(t)||void 0!==i.min&&t<i.min||void 0!==i.max&&t>i.max?e.set(r):e.set(+t)}},integer:{coerceFunction:function(t,e,r,i){t%1||!n(t)||void 0!==i.min&&t<i.min||void 0!==i.max&&t>i.max?e.set(r):e.set(+t)}},string:{coerceFunction:function(t,e,r,n){if(\"string\"!=typeof t){var i=\"number\"==typeof t;!0!==n.strict&&i?e.set(String(t)):e.set(r)}else n.noBlank&&!t?e.set(r):e.set(t)}},color:{coerceFunction:function(t,e,r){i(t).isValid()?e.set(t):e.set(r)}},colorlist:{coerceFunction:function(t,e,r){Array.isArray(t)&&t.length&&t.every((function(t){return i(t).isValid()}))?e.set(t):e.set(r)}},colorscale:{coerceFunction:function(t,e,r){e.set(o.get(t,r))}},angle:{coerceFunction:function(t,e,r){\"auto\"===t?e.set(\"auto\"):n(t)?e.set(f(+t,360)):e.set(r)}},subplotid:{coerceFunction:function(t,e,r,n){var i=n.regex||u(r);\"string\"==typeof t&&i.test(t)?e.set(t):e.set(r)},validateFunction:function(t,e){var r=e.dflt;return t===r||\"string\"==typeof t&&!!u(r).test(t)}},flaglist:{coerceFunction:function(t,e,r,n){if(\"string\"==typeof t)if(-1===(n.extras||[]).indexOf(t)){for(var i=t.split(\"+\"),a=0;a<i.length;){var o=i[a];-1===n.flags.indexOf(o)||i.indexOf(o)<a?i.splice(a,1):a++}i.length?e.set(i.join(\"+\")):e.set(r)}else e.set(t);else e.set(r)}},any:{coerceFunction:function(t,e,r){void 0===t?e.set(r):e.set(t)}},info_array:{coerceFunction:function(t,e,n,i){function a(t,e,n){var i,a={set:function(t){i=t}};return void 0===n&&(n=e.dflt),r.valObjectMeta[e.valType].coerceFunction(t,a,n,e),i}var o=2===i.dimensions||\"1-2\"===i.dimensions&&Array.isArray(t)&&Array.isArray(t[0]);if(Array.isArray(t)){var s,l,c,u,f,h,p=i.items,d=[],m=Array.isArray(p),g=m&&o&&Array.isArray(p[0]),v=o&&m&&!g,y=m&&!v?p.length:t.length;if(n=Array.isArray(n)?n:[],o)for(s=0;s<y;s++)for(d[s]=[],c=Array.isArray(t[s])?t[s]:[],f=v?p.length:m?p[s].length:c.length,l=0;l<f;l++)u=v?p[l]:m?p[s][l]:p,void 0!==(h=a(c[l],u,(n[s]||[])[l]))&&(d[s][l]=h);else for(s=0;s<y;s++)void 0!==(h=a(t[s],m?p[s]:p,n[s]))&&(d[s]=h);e.set(d)}else e.set(n)},validateFunction:function(t,e){if(!Array.isArray(t))return!1;var r=e.items,n=Array.isArray(r),i=2===e.dimensions;if(!e.freeLength&&t.length!==r.length)return!1;for(var a=0;a<t.length;a++)if(i){if(!Array.isArray(t[a])||!e.freeLength&&t[a].length!==r[a].length)return!1;for(var o=0;o<t[a].length;o++)if(!p(t[a][o],n?r[a][o]:r))return!1}else if(!p(t[a],n?r[a]:r))return!1;return!0}}},r.coerce=function(t,e,n,i,a){var o=c(n,i).get(),s=c(t,i),l=c(e,i),u=s.get(),f=e._template;if(void 0===u&&f&&(u=c(f,i).get(),f=0),void 0===a&&(a=o.dflt),o.arrayOk&&h(u))return l.set(u),u;var d=r.valObjectMeta[o.valType].coerceFunction;d(u,l,a,o);var m=l.get();return f&&m===a&&!p(u,o)&&(d(u=c(f,i).get(),l,a,o),m=l.get()),m},r.coerce2=function(t,e,n,i,a){var o=c(t,i),s=r.coerce(t,e,n,i,a),l=o.get();return null!=l&&s},r.coerceFont=function(t,e,r){var n={};return r=r||{},n.family=t(e+\".family\",r.family),n.size=t(e+\".size\",r.size),n.color=t(e+\".color\",r.color),n},r.coercePattern=function(t,e,r,n){if(t(e+\".shape\")){t(e+\".solidity\"),t(e+\".size\");var i=\"overlay\"===t(e+\".fillmode\");if(!n){var a=t(e+\".bgcolor\",i?r:void 0);t(e+\".fgcolor\",i?s.contrast(a):r)}t(e+\".fgopacity\",i?.5:1)}},r.coerceHoverinfo=function(t,e,n){var i,o=e._module.attributes,s=o.hoverinfo?o:a,l=s.hoverinfo;if(1===n._dataLength){var c=\"all\"===l.dflt?l.flags.slice():l.dflt.split(\"+\");c.splice(c.indexOf(\"name\"),1),i=c.join(\"+\")}return r.coerce(t,e,s,\"hoverinfo\",i)},r.coerceSelectionMarkerOpacity=function(t,e){if(t.marker){var r,n,i=t.marker.opacity;if(void 0!==i)h(i)||t.selected||t.unselected||(r=i,n=l*i),e(\"selected.marker.opacity\",r),e(\"unselected.marker.opacity\",n)}},r.validate=p},{\"../components/color\":662,\"../components/colorscale/scales\":677,\"../constants/interactions\":774,\"../plots/attributes\":845,\"./array\":781,\"./mod\":806,\"./nested_property\":807,\"./regex\":816,\"fast-isnumeric\":245,tinycolor2:594}],786:[function(t,e,r){\"use strict\";var n,i,a=t(\"d3-time-format\").timeFormat,o=t(\"fast-isnumeric\"),s=t(\"./loggers\"),l=t(\"./mod\").mod,c=t(\"../constants/numerical\"),u=c.BADNUM,f=c.ONEDAY,h=c.ONEHOUR,p=c.ONEMIN,d=c.ONESEC,m=c.EPOCHJD,g=t(\"../registry\"),v=t(\"d3-time-format\").utcFormat,y=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)(-(\\d?\\d)(-(\\d?\\d)([ Tt]([01]?\\d|2[0-3])(:([0-5]\\d)(:([0-5]\\d(\\.\\d+)?))?(Z|z|[+\\-]\\d\\d(:?\\d\\d)?)?)?)?)?)?\\s*$/m,x=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)(-(\\d?\\di?)(-(\\d?\\d)([ Tt]([01]?\\d|2[0-3])(:([0-5]\\d)(:([0-5]\\d(\\.\\d+)?))?(Z|z|[+\\-]\\d\\d(:?\\d\\d)?)?)?)?)?)?\\s*$/m,b=(new Date).getFullYear()-70;function _(t){return t&&g.componentsRegistry.calendars&&\"string\"==typeof t&&\"gregorian\"!==t}function w(t,e){return String(t+Math.pow(10,e)).substr(1)}r.dateTick0=function(t,e){var n=function(t,e){return _(t)?e?g.getComponentMethod(\"calendars\",\"CANONICAL_SUNDAY\")[t]:g.getComponentMethod(\"calendars\",\"CANONICAL_TICK\")[t]:e?\"2000-01-02\":\"2000-01-01\"}(t,!!e);if(e<2)return n;var i=r.dateTime2ms(n,t);return i+=f*(e-1),r.ms2DateTime(i,0,t)},r.dfltRange=function(t){return _(t)?g.getComponentMethod(\"calendars\",\"DFLTRANGE\")[t]:[\"2000-01-01\",\"2001-01-01\"]},r.isJSDate=function(t){return\"object\"==typeof t&&null!==t&&\"function\"==typeof t.getTime},r.dateTime2ms=function(t,e){if(r.isJSDate(t)){var a=t.getTimezoneOffset()*p,o=(t.getUTCMinutes()-t.getMinutes())*p+(t.getUTCSeconds()-t.getSeconds())*d+(t.getUTCMilliseconds()-t.getMilliseconds());if(o){var s=3*p;a=a-s/2+l(o-a+s/2,s)}return(t=Number(t)-a)>=n&&t<=i?t:u}if(\"string\"!=typeof t&&\"number\"!=typeof t)return u;t=String(t);var c=_(e),v=t.charAt(0);!c||\"G\"!==v&&\"g\"!==v||(t=t.substr(1),e=\"\");var w=c&&\"chinese\"===e.substr(0,7),T=t.match(w?x:y);if(!T)return u;var k=T[1],M=T[3]||\"1\",A=Number(T[5]||1),S=Number(T[7]||0),E=Number(T[9]||0),L=Number(T[11]||0);if(c){if(2===k.length)return u;var C;k=Number(k);try{var P=g.getComponentMethod(\"calendars\",\"getCal\")(e);if(w){var I=\"i\"===M.charAt(M.length-1);M=parseInt(M,10),C=P.newDate(k,P.toMonthIndex(k,M,I),A)}else C=P.newDate(k,Number(M),A)}catch(t){return u}return C?(C.toJD()-m)*f+S*h+E*p+L*d:u}k=2===k.length?(Number(k)+2e3-b)%100+b:Number(k),M-=1;var O=new Date(Date.UTC(2e3,M,A,S,E));return O.setUTCFullYear(k),O.getUTCMonth()!==M||O.getUTCDate()!==A?u:O.getTime()+L*d},n=r.MIN_MS=r.dateTime2ms(\"-9999\"),i=r.MAX_MS=r.dateTime2ms(\"9999-12-31 23:59:59.9999\"),r.isDateTime=function(t,e){return r.dateTime2ms(t,e)!==u};var T=90*f,k=3*h,M=5*p;function A(t,e,r,n,i){if((e||r||n||i)&&(t+=\" \"+w(e,2)+\":\"+w(r,2),(n||i)&&(t+=\":\"+w(n,2),i))){for(var a=4;i%10==0;)a-=1,i/=10;t+=\".\"+w(i,a)}return t}r.ms2DateTime=function(t,e,r){if(\"number\"!=typeof t||!(t>=n&&t<=i))return u;e||(e=0);var a,o,s,c,y,x,b=Math.floor(10*l(t+.05,1)),w=Math.round(t-b/10);if(_(r)){var S=Math.floor(w/f)+m,E=Math.floor(l(t,f));try{a=g.getComponentMethod(\"calendars\",\"getCal\")(r).fromJD(S).formatDate(\"yyyy-mm-dd\")}catch(t){a=v(\"G%Y-%m-%d\")(new Date(w))}if(\"-\"===a.charAt(0))for(;a.length<11;)a=\"-0\"+a.substr(1);else for(;a.length<10;)a=\"0\"+a;o=e<T?Math.floor(E/h):0,s=e<T?Math.floor(E%h/p):0,c=e<k?Math.floor(E%p/d):0,y=e<M?E%d*10+b:0}else x=new Date(w),a=v(\"%Y-%m-%d\")(x),o=e<T?x.getUTCHours():0,s=e<T?x.getUTCMinutes():0,c=e<k?x.getUTCSeconds():0,y=e<M?10*x.getUTCMilliseconds()+b:0;return A(a,o,s,c,y)},r.ms2DateTimeLocal=function(t){if(!(t>=n+f&&t<=i-f))return u;var e=Math.floor(10*l(t+.05,1)),r=new Date(Math.round(t-e/10));return A(a(\"%Y-%m-%d\")(r),r.getHours(),r.getMinutes(),r.getSeconds(),10*r.getUTCMilliseconds()+e)},r.cleanDate=function(t,e,n){if(t===u)return e;if(r.isJSDate(t)||\"number\"==typeof t&&isFinite(t)){if(_(n))return s.error(\"JS Dates and milliseconds are incompatible with world calendars\",t),e;if(!(t=r.ms2DateTimeLocal(+t))&&void 0!==e)return e}else if(!r.isDateTime(t,n))return s.error(\"unrecognized date\",t),e;return t};var S=/%\\d?f/g,E=/%h/g,L={1:\"1\",2:\"1\",3:\"2\",4:\"2\"};function C(t,e,r,n){t=t.replace(S,(function(t){var r=Math.min(+t.charAt(1)||6,6);return(e/1e3%1+2).toFixed(r).substr(2).replace(/0+$/,\"\")||\"0\"}));var i=new Date(Math.floor(e+.05));if(t=t.replace(E,(function(){return L[r(\"%q\")(i)]})),_(n))try{t=g.getComponentMethod(\"calendars\",\"worldCalFmt\")(t,e,n)}catch(t){return\"Invalid\"}return r(t)(i)}var P=[59,59.9,59.99,59.999,59.9999];r.formatDate=function(t,e,r,n,i,a){if(i=_(i)&&i,!e)if(\"y\"===r)e=a.year;else if(\"m\"===r)e=a.month;else{if(\"d\"!==r)return function(t,e){var r=l(t+.05,f),n=w(Math.floor(r/h),2)+\":\"+w(l(Math.floor(r/p),60),2);if(\"M\"!==e){o(e)||(e=0);var i=(100+Math.min(l(t/d,60),P[e])).toFixed(e).substr(1);e>0&&(i=i.replace(/0+$/,\"\").replace(/[\\.]$/,\"\")),n+=\":\"+i}return n}(t,r)+\"\\n\"+C(a.dayMonthYear,t,n,i);e=a.dayMonth+\"\\n\"+a.year}return C(e,t,n,i)};var I=3*f;r.incrementMonth=function(t,e,r){r=_(r)&&r;var n=l(t,f);if(t=Math.round(t-n),r)try{var i=Math.round(t/f)+m,a=g.getComponentMethod(\"calendars\",\"getCal\")(r),o=a.fromJD(i);return e%12?a.add(o,e,\"m\"):a.add(o,e/12,\"y\"),(o.toJD()-m)*f+n}catch(e){s.error(\"invalid ms \"+t+\" in calendar \"+r)}var c=new Date(t+I);return c.setUTCMonth(c.getUTCMonth()+e)+n-I},r.findExactDates=function(t,e){for(var r,n,i=0,a=0,s=0,l=0,c=_(e)&&g.getComponentMethod(\"calendars\",\"getCal\")(e),u=0;u<t.length;u++)if(n=t[u],o(n)){if(!(n%f))if(c)try{1===(r=c.fromJD(n/f+m)).day()?1===r.month()?i++:a++:s++}catch(t){}else 1===(r=new Date(n)).getUTCDate()?0===r.getUTCMonth()?i++:a++:s++}else l++;s+=a+=i;var h=t.length-l;return{exactYears:i/h,exactMonths:a/h,exactDays:s/h}}},{\"../constants/numerical\":775,\"../registry\":927,\"./loggers\":803,\"./mod\":806,\"d3-time-format\":172,\"fast-isnumeric\":245}],787:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./loggers\"),a=t(\"./matrix\"),o=t(\"gl-mat4\");function s(t){var e=t&&t.parentNode;e&&e.removeChild(t)}function l(t,e,r){var n=\"plotly.js-style-\"+t,a=document.getElementById(n);a||((a=document.createElement(\"style\")).setAttribute(\"id\",n),a.appendChild(document.createTextNode(\"\")),document.head.appendChild(a));var o=a.sheet;o.insertRule?o.insertRule(e+\"{\"+r+\"}\",0):o.addRule?o.addRule(e,r,0):i.warn(\"addStyleRule failed\")}function c(t){var e=window.getComputedStyle(t,null),r=e.getPropertyValue(\"-webkit-transform\")||e.getPropertyValue(\"-moz-transform\")||e.getPropertyValue(\"-ms-transform\")||e.getPropertyValue(\"-o-transform\")||e.getPropertyValue(\"transform\");return\"none\"===r?null:r.replace(\"matrix\",\"\").replace(\"3d\",\"\").slice(1,-1).split(\",\").map((function(t){return+t}))}function u(t){for(var e=[];f(t);)e.push(t),t=t.parentNode;return e}function f(t){return t&&(t instanceof Element||t instanceof HTMLElement)}e.exports={getGraphDiv:function(t){var e;if(\"string\"==typeof t){if(null===(e=document.getElementById(t)))throw new Error(\"No DOM element with id '\"+t+\"' exists on the page.\");return e}if(null==t)throw new Error(\"DOM element provided is null or undefined\");return t},isPlotDiv:function(t){var e=n.select(t);return e.node()instanceof HTMLElement&&e.size()&&e.classed(\"js-plotly-plot\")},removeElement:s,addStyleRule:function(t,e){l(\"global\",t,e)},addRelatedStyleRule:l,deleteRelatedStyleRule:function(t){var e=\"plotly.js-style-\"+t,r=document.getElementById(e);r&&s(r)},getFullTransformMatrix:function(t){var e=u(t),r=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];return e.forEach((function(t){var e=c(t);if(e){var n=a.convertCssMatrix(e);r=o.multiply(r,r,n)}})),r},getElementTransformMatrix:c,getElementAndAncestors:u,equalDomRects:function(t,e){return t&&e&&t.x===e.x&&t.y===e.y&&t.top===e.top&&t.left===e.left&&t.right===e.right&&t.bottom===e.bottom}}},{\"./loggers\":803,\"./matrix\":805,\"@plotly/d3\":58,\"gl-mat4\":294}],788:[function(t,e,r){\"use strict\";var n=t(\"events\").EventEmitter,i={init:function(t){if(t._ev instanceof n)return t;var e=new n,r=new n;return t._ev=e,t._internalEv=r,t.on=e.on.bind(e),t.once=e.once.bind(e),t.removeListener=e.removeListener.bind(e),t.removeAllListeners=e.removeAllListeners.bind(e),t._internalOn=r.on.bind(r),t._internalOnce=r.once.bind(r),t._removeInternalListener=r.removeListener.bind(r),t._removeAllInternalListeners=r.removeAllListeners.bind(r),t.emit=function(n,i){\"undefined\"!=typeof jQuery&&jQuery(t).trigger(n,i),e.emit(n,i),r.emit(n,i)},t},triggerHandler:function(t,e,r){var n,i;\"undefined\"!=typeof jQuery&&(n=jQuery(t).triggerHandler(e,r));var a=t._ev;if(!a)return n;var o,s=a._events[e];if(!s)return n;function l(t){return t.listener?(a.removeListener(e,t.listener),t.fired?void 0:(t.fired=!0,t.listener.apply(a,[r]))):t.apply(a,[r])}for(s=Array.isArray(s)?s:[s],o=0;o<s.length-1;o++)l(s[o]);return i=l(s[o]),void 0!==n?n:i},purge:function(t){return delete t._ev,delete t.on,delete t.once,delete t.removeListener,delete t.removeAllListeners,delete t.emit,delete t._ev,delete t._internalEv,delete t._internalOn,delete t._internalOnce,delete t._removeInternalListener,delete t._removeAllInternalListeners,t}};e.exports=i},{events:116}],789:[function(t,e,r){\"use strict\";var n=t(\"./is_plain_object.js\"),i=Array.isArray;function a(t,e,r,o){var s,l,c,u,f,h,p=t[0],d=t.length;if(2===d&&i(p)&&i(t[1])&&0===p.length){if(function(t,e){var r,n;for(r=0;r<t.length;r++){if(null!==(n=t[r])&&\"object\"==typeof n)return!1;void 0!==n&&(e[r]=n)}return!0}(t[1],p))return p;p.splice(0,p.length)}for(var m=1;m<d;m++)for(l in s=t[m])c=p[l],u=s[l],o&&i(u)?p[l]=u:e&&u&&(n(u)||(f=i(u)))?(f?(f=!1,h=c&&i(c)?c:[]):h=c&&n(c)?c:{},p[l]=a([h,u],e,r,o)):(void 0!==u||r)&&(p[l]=u);return p}r.extendFlat=function(){return a(arguments,!1,!1,!1)},r.extendDeep=function(){return a(arguments,!0,!1,!1)},r.extendDeepAll=function(){return a(arguments,!0,!0,!1)},r.extendDeepNoArrays=function(){return a(arguments,!0,!1,!0)}},{\"./is_plain_object.js\":800}],790:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e={},r=[],n=0,i=0;i<t.length;i++){var a=t[i];1!==e[a]&&(e[a]=1,r[n++]=a)}return r}},{}],791:[function(t,e,r){\"use strict\";function n(t){return!0===t.visible}function i(t){var e=t[0].trace;return!0===e.visible&&0!==e._length}e.exports=function(t){for(var e,r=(e=t,Array.isArray(e)&&Array.isArray(e[0])&&e[0][0]&&e[0][0].trace?i:n),a=[],o=0;o<t.length;o++){var s=t[o];r(s)&&a.push(s)}return a}},{}],792:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"country-regex\"),a=t(\"@turf/area\"),o=t(\"@turf/centroid\"),s=t(\"@turf/bbox\"),l=t(\"./identity\"),c=t(\"./loggers\"),u=t(\"./is_plain_object\"),f=t(\"./nested_property\"),h=t(\"./polygon\"),p=Object.keys(i),d={\"ISO-3\":l,\"USA-states\":l,\"country names\":function(t){for(var e=0;e<p.length;e++){var r=p[e];if(new RegExp(i[r]).test(t.trim().toLowerCase()))return r}return c.log(\"Unrecognized country name: \"+t+\".\"),!1}};function m(t){var e=t.geojson,r=window.PlotlyGeoAssets||{},n=\"string\"==typeof e?r[e]:e;return u(n)?n:(c.error(\"Oops ... something went wrong when fetching \"+e),!1)}e.exports={locationToFeature:function(t,e,r){if(!e||\"string\"!=typeof e)return!1;var n,i,a,o=d[t](e);if(o){if(\"USA-states\"===t)for(n=[],a=0;a<r.length;a++)(i=r[a]).properties&&i.properties.gu&&\"USA\"===i.properties.gu&&n.push(i);else n=r;for(a=0;a<n.length;a++)if((i=n[a]).id===o)return i;c.log([\"Location with id\",o,\"does not have a matching topojson feature at this resolution.\"].join(\" \"))}return!1},feature2polygons:function(t){var e,r,n,i,a=t.geometry,o=a.coordinates,s=t.id,l=[];function c(t){for(var e=0;e<t.length-1;e++)if(t[e][0]>0&&t[e+1][0]<0)return e;return null}switch(e=\"RUS\"===s||\"FJI\"===s?function(t){var e;if(null===c(t))e=t;else for(e=new Array(t.length),i=0;i<t.length;i++)e[i]=[t[i][0]<0?t[i][0]+360:t[i][0],t[i][1]];l.push(h.tester(e))}:\"ATA\"===s?function(t){var e=c(t);if(null===e)return l.push(h.tester(t));var r=new Array(t.length+1),n=0;for(i=0;i<t.length;i++)i>e?r[n++]=[t[i][0]+360,t[i][1]]:i===e?(r[n++]=t[i],r[n++]=[t[i][0],-90]):r[n++]=t[i];var a=h.tester(r);a.pts.pop(),l.push(a)}:function(t){l.push(h.tester(t))},a.type){case\"MultiPolygon\":for(r=0;r<o.length;r++)for(n=0;n<o[r].length;n++)e(o[r][n]);break;case\"Polygon\":for(r=0;r<o.length;r++)e(o[r])}return l},getTraceGeojson:m,extractTraceFeature:function(t){var e=t[0].trace,r=m(e);if(!r)return!1;var n,i={},s=[];for(n=0;n<e._length;n++){var l=t[n];(l.loc||0===l.loc)&&(i[l.loc]=l)}function u(t){var r=f(t,e.featureidkey||\"id\").get(),n=i[r];if(n){var l=t.geometry;if(\"Polygon\"===l.type||\"MultiPolygon\"===l.type){var u={type:\"Feature\",id:r,geometry:l,properties:{}};u.properties.ct=function(t){var e,r=t.geometry;if(\"MultiPolygon\"===r.type)for(var n=r.coordinates,i=0,s=0;s<n.length;s++){var l={type:\"Polygon\",coordinates:n[s]},c=a.default(l);c>i&&(i=c,e=l)}else e=r;return o.default(e).geometry.coordinates}(u),n.fIn=t,n.fOut=u,s.push(u)}else c.log([\"Location\",n.loc,\"does not have a valid GeoJSON geometry.\",\"Traces with locationmode *geojson-id* only support\",\"*Polygon* and *MultiPolygon* geometries.\"].join(\" \"))}delete i[r]}switch(r.type){case\"FeatureCollection\":var h=r.features;for(n=0;n<h.length;n++)u(h[n]);break;case\"Feature\":u(r);break;default:return c.warn([\"Invalid GeoJSON type\",(r.type||\"none\")+\".\",\"Traces with locationmode *geojson-id* only support\",\"*FeatureCollection* and *Feature* types.\"].join(\" \")),!1}for(var p in i)c.log([\"Location *\"+p+\"*\",\"does not have a matching feature with id-key\",\"*\"+e.featureidkey+\"*.\"].join(\" \"));return s},fetchTraceGeoData:function(t){var e=window.PlotlyGeoAssets||{},r=[];function i(t){return new Promise((function(r,i){n.json(t,(function(n,a){if(n){delete e[t];var o=404===n.status?'GeoJSON at URL \"'+t+'\" does not exist.':\"Unexpected error while fetching from \"+t;return i(new Error(o))}return e[t]=a,r(a)}))}))}function a(t){return new Promise((function(r,n){var i=0,a=setInterval((function(){return e[t]&&\"pending\"!==e[t]?(clearInterval(a),r(e[t])):i>100?(clearInterval(a),n(\"Unexpected error while fetching from \"+t)):void i++}),50)}))}for(var o=0;o<t.length;o++){var s=t[o][0].trace.geojson;\"string\"==typeof s&&(e[s]?\"pending\"===e[s]&&r.push(a(s)):(e[s]=\"pending\",r.push(i(s))))}return r},computeBbox:function(t){return s.default(t)}}},{\"./identity\":797,\"./is_plain_object\":800,\"./loggers\":803,\"./nested_property\":807,\"./polygon\":811,\"@plotly/d3\":58,\"@turf/area\":61,\"@turf/bbox\":64,\"@turf/centroid\":67,\"country-regex\":145}],793:[function(t,e,r){\"use strict\";var n=t(\"../constants/numerical\").BADNUM;r.calcTraceToLineCoords=function(t){for(var e=t[0].trace.connectgaps,r=[],i=[],a=0;a<t.length;a++){var o=t[a].lonlat;o[0]!==n?i.push(o):!e&&i.length>0&&(r.push(i),i=[])}return i.length>0&&r.push(i),r},r.makeLine=function(t){return 1===t.length?{type:\"LineString\",coordinates:t[0]}:{type:\"MultiLineString\",coordinates:t}},r.makePolygon=function(t){if(1===t.length)return{type:\"Polygon\",coordinates:t};for(var e=new Array(t.length),r=0;r<t.length;r++)e[r]=[t[r]];return{type:\"MultiPolygon\",coordinates:e}},r.makeBlank=function(){return{type:\"Point\",coordinates:[]}}},{\"../constants/numerical\":775}],794:[function(t,e,r){\"use strict\";var n,i,a,o=t(\"./mod\").mod;function s(t,e,r,n,i,a,o,s){var l=r-t,c=i-t,u=o-i,f=n-e,h=a-e,p=s-a,d=l*p-u*f;if(0===d)return null;var m=(c*p-u*h)/d,g=(c*f-l*h)/d;return g<0||g>1||m<0||m>1?null:{x:t+l*m,y:e+f*m}}function l(t,e,r,n,i){var a=n*t+i*e;if(a<0)return n*n+i*i;if(a>r){var o=n-t,s=i-e;return o*o+s*s}var l=n*e-i*t;return l*l/r}r.segmentsIntersect=s,r.segmentDistance=function(t,e,r,n,i,a,o,c){if(s(t,e,r,n,i,a,o,c))return 0;var u=r-t,f=n-e,h=o-i,p=c-a,d=u*u+f*f,m=h*h+p*p,g=Math.min(l(u,f,d,i-t,a-e),l(u,f,d,o-t,c-e),l(h,p,m,t-i,e-a),l(h,p,m,r-i,n-a));return Math.sqrt(g)},r.getTextLocation=function(t,e,r,s){if(t===i&&s===a||(n={},i=t,a=s),n[r])return n[r];var l=t.getPointAtLength(o(r-s/2,e)),c=t.getPointAtLength(o(r+s/2,e)),u=Math.atan((c.y-l.y)/(c.x-l.x)),f=t.getPointAtLength(o(r,e)),h={x:(4*f.x+l.x+c.x)/6,y:(4*f.y+l.y+c.y)/6,theta:u};return n[r]=h,h},r.clearLocationCache=function(){i=null},r.getVisibleSegment=function(t,e,r){var n,i,a=e.left,o=e.right,s=e.top,l=e.bottom,c=0,u=t.getTotalLength(),f=u;function h(e){var r=t.getPointAtLength(e);0===e?n=r:e===u&&(i=r);var c=r.x<a?a-r.x:r.x>o?r.x-o:0,f=r.y<s?s-r.y:r.y>l?r.y-l:0;return Math.sqrt(c*c+f*f)}for(var p=h(c);p;){if((c+=p+r)>f)return;p=h(c)}for(p=h(f);p;){if(c>(f-=p+r))return;p=h(f)}return{min:c,max:f,len:f-c,total:u,isClosed:0===c&&f===u&&Math.abs(n.x-i.x)<.1&&Math.abs(n.y-i.y)<.1}},r.findPointOnPath=function(t,e,r,n){for(var i,a,o,s=(n=n||{}).pathLength||t.getTotalLength(),l=n.tolerance||.001,c=n.iterationLimit||30,u=t.getPointAtLength(0)[r]>t.getPointAtLength(s)[r]?-1:1,f=0,h=0,p=s;f<c;){if(i=(h+p)/2,o=(a=t.getPointAtLength(i))[r]-e,Math.abs(o)<l)return a;u*o>0?p=i:h=i,f++}return a}},{\"./mod\":806}],795:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"color-normalize\"),o=t(\"../components/colorscale\"),s=t(\"../components/color/attributes\").defaultLine,l=t(\"./array\").isArrayOrTypedArray,c=a(s);function u(t,e){var r=t;return r[3]*=e,r}function f(t){if(n(t))return c;var e=a(t);return e.length?e:c}function h(t){return n(t)?t:1}e.exports={formatColor:function(t,e,r){var n,i,s,p,d,m=t.color,g=l(m),v=l(e),y=o.extractOpts(t),x=[];if(n=void 0!==y.colorscale?o.makeColorScaleFuncFromTrace(t):f,i=g?function(t,e){return void 0===t[e]?c:a(n(t[e]))}:f,s=v?function(t,e){return void 0===t[e]?1:h(t[e])}:h,g||v)for(var b=0;b<r;b++)p=i(m,b),d=s(e,b),x[b]=u(p,d);else x=u(a(m),e);return x},parseColorScale:function(t){var e=o.extractOpts(t),r=e.colorscale;return e.reversescale&&(r=o.flipScale(e.colorscale)),r.map((function(t){var e=t[0],r=i(t[1]).toRgb();return{index:e,rgb:[r.r,r.g,r.b,r.a]}}))}}},{\"../components/color/attributes\":661,\"../components/colorscale\":674,\"./array\":781,\"color-normalize\":131,\"fast-isnumeric\":245,tinycolor2:594}],796:[function(t,e,r){\"use strict\";var n=t(\"./identity\");function i(t){return[t]}e.exports={keyFun:function(t){return t.key},repeat:i,descend:n,wrap:i,unwrap:function(t){return t[0]}}},{\"./identity\":797}],797:[function(t,e,r){\"use strict\";e.exports=function(t){return t}},{}],798:[function(t,e,r){\"use strict\";e.exports=function(t,e){if(!e)return t;var r=1/Math.abs(e),n=r>1?(r*t+r*e)/r:t+e,i=String(n).length;if(i>16){var a=String(e).length;if(i>=String(t).length+a){var o=parseFloat(n).toPrecision(12);-1===o.indexOf(\"e+\")&&(n=+o)}}return n}},{}],799:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"fast-isnumeric\"),o=t(\"../constants/numerical\"),s=o.FP_SAFE,l=-s,c=o.BADNUM,u=e.exports={};u.nestedProperty=t(\"./nested_property\"),u.keyedContainer=t(\"./keyed_container\"),u.relativeAttr=t(\"./relative_attr\"),u.isPlainObject=t(\"./is_plain_object\"),u.toLogRange=t(\"./to_log_range\"),u.relinkPrivateKeys=t(\"./relink_private\");var f=t(\"./array\");u.isTypedArray=f.isTypedArray,u.isArrayOrTypedArray=f.isArrayOrTypedArray,u.isArray1D=f.isArray1D,u.ensureArray=f.ensureArray,u.concat=f.concat,u.maxRowLength=f.maxRowLength,u.minRowLength=f.minRowLength;var h=t(\"./mod\");u.mod=h.mod,u.modHalf=h.modHalf;var p=t(\"./coerce\");u.valObjectMeta=p.valObjectMeta,u.coerce=p.coerce,u.coerce2=p.coerce2,u.coerceFont=p.coerceFont,u.coercePattern=p.coercePattern,u.coerceHoverinfo=p.coerceHoverinfo,u.coerceSelectionMarkerOpacity=p.coerceSelectionMarkerOpacity,u.validate=p.validate;var d=t(\"./dates\");u.dateTime2ms=d.dateTime2ms,u.isDateTime=d.isDateTime,u.ms2DateTime=d.ms2DateTime,u.ms2DateTimeLocal=d.ms2DateTimeLocal,u.cleanDate=d.cleanDate,u.isJSDate=d.isJSDate,u.formatDate=d.formatDate,u.incrementMonth=d.incrementMonth,u.dateTick0=d.dateTick0,u.dfltRange=d.dfltRange,u.findExactDates=d.findExactDates,u.MIN_MS=d.MIN_MS,u.MAX_MS=d.MAX_MS;var m=t(\"./search\");u.findBin=m.findBin,u.sorterAsc=m.sorterAsc,u.sorterDes=m.sorterDes,u.distinctVals=m.distinctVals,u.roundUp=m.roundUp,u.sort=m.sort,u.findIndexOfMin=m.findIndexOfMin;var g=t(\"./stats\");u.aggNums=g.aggNums,u.len=g.len,u.mean=g.mean,u.median=g.median,u.midRange=g.midRange,u.variance=g.variance,u.stdev=g.stdev,u.interp=g.interp;var v=t(\"./matrix\");u.init2dArray=v.init2dArray,u.transposeRagged=v.transposeRagged,u.dot=v.dot,u.translationMatrix=v.translationMatrix,u.rotationMatrix=v.rotationMatrix,u.rotationXYMatrix=v.rotationXYMatrix,u.apply3DTransform=v.apply3DTransform,u.apply2DTransform=v.apply2DTransform,u.apply2DTransform2=v.apply2DTransform2,u.convertCssMatrix=v.convertCssMatrix,u.inverseTransformMatrix=v.inverseTransformMatrix;var y=t(\"./angles\");u.deg2rad=y.deg2rad,u.rad2deg=y.rad2deg,u.angleDelta=y.angleDelta,u.angleDist=y.angleDist,u.isFullCircle=y.isFullCircle,u.isAngleInsideSector=y.isAngleInsideSector,u.isPtInsideSector=y.isPtInsideSector,u.pathArc=y.pathArc,u.pathSector=y.pathSector,u.pathAnnulus=y.pathAnnulus;var x=t(\"./anchor_utils\");u.isLeftAnchor=x.isLeftAnchor,u.isCenterAnchor=x.isCenterAnchor,u.isRightAnchor=x.isRightAnchor,u.isTopAnchor=x.isTopAnchor,u.isMiddleAnchor=x.isMiddleAnchor,u.isBottomAnchor=x.isBottomAnchor;var b=t(\"./geometry2d\");u.segmentsIntersect=b.segmentsIntersect,u.segmentDistance=b.segmentDistance,u.getTextLocation=b.getTextLocation,u.clearLocationCache=b.clearLocationCache,u.getVisibleSegment=b.getVisibleSegment,u.findPointOnPath=b.findPointOnPath;var _=t(\"./extend\");u.extendFlat=_.extendFlat,u.extendDeep=_.extendDeep,u.extendDeepAll=_.extendDeepAll,u.extendDeepNoArrays=_.extendDeepNoArrays;var w=t(\"./loggers\");u.log=w.log,u.warn=w.warn,u.error=w.error;var T=t(\"./regex\");u.counterRegex=T.counter;var k=t(\"./throttle\");u.throttle=k.throttle,u.throttleDone=k.done,u.clearThrottle=k.clear;var M=t(\"./dom\");function A(t){var e={};for(var r in t)for(var n=t[r],i=0;i<n.length;i++)e[n[i]]=+r;return e}u.getGraphDiv=M.getGraphDiv,u.isPlotDiv=M.isPlotDiv,u.removeElement=M.removeElement,u.addStyleRule=M.addStyleRule,u.addRelatedStyleRule=M.addRelatedStyleRule,u.deleteRelatedStyleRule=M.deleteRelatedStyleRule,u.getFullTransformMatrix=M.getFullTransformMatrix,u.getElementTransformMatrix=M.getElementTransformMatrix,u.getElementAndAncestors=M.getElementAndAncestors,u.equalDomRects=M.equalDomRects,u.clearResponsive=t(\"./clear_responsive\"),u.preserveDrawingBuffer=t(\"./preserve_drawing_buffer\"),u.makeTraceGroups=t(\"./make_trace_groups\"),u._=t(\"./localize\"),u.notifier=t(\"./notifier\"),u.filterUnique=t(\"./filter_unique\"),u.filterVisible=t(\"./filter_visible\"),u.pushUnique=t(\"./push_unique\"),u.increment=t(\"./increment\"),u.cleanNumber=t(\"./clean_number\"),u.ensureNumber=function(t){return a(t)?(t=Number(t))>s||t<l?c:t:c},u.isIndex=function(t,e){return!(void 0!==e&&t>=e)&&(a(t)&&t>=0&&t%1==0)},u.noop=t(\"./noop\"),u.identity=t(\"./identity\"),u.repeat=function(t,e){for(var r=new Array(e),n=0;n<e;n++)r[n]=t;return r},u.swapAttrs=function(t,e,r,n){r||(r=\"x\"),n||(n=\"y\");for(var i=0;i<e.length;i++){var a=e[i],o=u.nestedProperty(t,a.replace(\"?\",r)),s=u.nestedProperty(t,a.replace(\"?\",n)),l=o.get();o.set(s.get()),s.set(l)}},u.raiseToTop=function(t){t.parentNode.appendChild(t)},u.cancelTransition=function(t){return t.transition().duration(0)},u.constrain=function(t,e,r){return e>r?Math.max(r,Math.min(e,t)):Math.max(e,Math.min(r,t))},u.bBoxIntersect=function(t,e,r){return r=r||0,t.left<=e.right+r&&e.left<=t.right+r&&t.top<=e.bottom+r&&e.top<=t.bottom+r},u.simpleMap=function(t,e,r,n,i){for(var a=t.length,o=new Array(a),s=0;s<a;s++)o[s]=e(t[s],r,n,i);return o},u.randstr=function t(e,r,n,i){if(n||(n=16),void 0===r&&(r=24),r<=0)return\"0\";var a,o,s=Math.log(Math.pow(2,r))/Math.log(n),l=\"\";for(a=2;s===1/0;a*=2)s=Math.log(Math.pow(2,r/a))/Math.log(n)*a;var c=s-Math.floor(s);for(a=0;a<Math.floor(s);a++)l=Math.floor(Math.random()*n).toString(n)+l;c&&(o=Math.pow(n,c),l=Math.floor(Math.random()*o).toString(n)+l);var f=parseInt(l,n);return e&&e[l]||f!==1/0&&f>=Math.pow(2,r)?i>10?(u.warn(\"randstr failed uniqueness\"),l):t(e,r,n,(i||0)+1):l},u.OptionControl=function(t,e){t||(t={}),e||(e=\"opt\");var r={optionList:[],_newoption:function(n){n[e]=t,r[n.name]=n,r.optionList.push(n)}};return r[\"_\"+e]=t,r},u.smooth=function(t,e){if((e=Math.round(e)||0)<2)return t;var r,n,i,a,o=t.length,s=2*o,l=2*e-1,c=new Array(l),u=new Array(o);for(r=0;r<l;r++)c[r]=(1-Math.cos(Math.PI*(r+1)/e))/(2*e);for(r=0;r<o;r++){for(a=0,n=0;n<l;n++)(i=r+n+1-e)<-o?i-=s*Math.round(i/s):i>=s&&(i-=s*Math.floor(i/s)),i<0?i=-1-i:i>=o&&(i=s-1-i),a+=t[i]*c[n];u[r]=a}return u},u.syncOrAsync=function(t,e,r){var n;function i(){return u.syncOrAsync(t,e,r)}for(;t.length;)if((n=(0,t.splice(0,1)[0])(e))&&n.then)return n.then(i).then(void 0,u.promiseError);return r&&r(e)},u.stripTrailingSlash=function(t){return\"/\"===t.substr(-1)?t.substr(0,t.length-1):t},u.noneOrAll=function(t,e,r){if(t){var n,i=!1,a=!0;for(n=0;n<r.length;n++)null!=t[r[n]]?i=!0:a=!1;if(i&&!a)for(n=0;n<r.length;n++)t[r[n]]=e[r[n]]}},u.mergeArray=function(t,e,r,n){var i=\"function\"==typeof n;if(u.isArrayOrTypedArray(t))for(var a=Math.min(t.length,e.length),o=0;o<a;o++){var s=t[o];e[o][r]=i?n(s):s}},u.mergeArrayCastPositive=function(t,e,r){return u.mergeArray(t,e,r,(function(t){var e=+t;return isFinite(e)&&e>0?e:0}))},u.fillArray=function(t,e,r,n){if(n=n||u.identity,u.isArrayOrTypedArray(t))for(var i=0;i<e.length;i++)e[i][r]=n(t[i])},u.castOption=function(t,e,r,n){n=n||u.identity;var i=u.nestedProperty(t,r).get();return u.isArrayOrTypedArray(i)?Array.isArray(e)&&u.isArrayOrTypedArray(i[e[0]])?n(i[e[0]][e[1]]):n(i[e]):i},u.extractOption=function(t,e,r,n){if(r in t)return t[r];var i=u.nestedProperty(e,n).get();return Array.isArray(i)?void 0:i},u.tagSelected=function(t,e,r){var n,i,a=e.selectedpoints,o=e._indexToPoints;o&&(n=A(o));for(var s=0;s<a.length;s++){var l=a[s];if(u.isIndex(l)||u.isArrayOrTypedArray(l)&&u.isIndex(l[0])&&u.isIndex(l[1])){var c=n?n[l]:l,f=r?r[c]:c;void 0!==(i=f)&&i<t.length&&(t[f].selected=1)}}},u.selIndices2selPoints=function(t){var e=t.selectedpoints,r=t._indexToPoints;if(r){for(var n=A(r),i=[],a=0;a<e.length;a++){var o=e[a];if(u.isIndex(o)){var s=n[o];u.isIndex(s)&&i.push(s)}}return i}return e},u.getTargetArray=function(t,e){var r=e.target;if(\"string\"==typeof r&&r){var n=u.nestedProperty(t,r).get();return!!Array.isArray(n)&&n}return!!Array.isArray(r)&&r},u.minExtend=function(t,e){var r={};\"object\"!=typeof e&&(e={});var n,i,a,o=Object.keys(t);for(n=0;n<o.length;n++)a=t[i=o[n]],\"_\"!==i.charAt(0)&&\"function\"!=typeof a&&(\"module\"===i?r[i]=a:Array.isArray(a)?r[i]=\"colorscale\"===i?a.slice():a.slice(0,3):u.isTypedArray(a)?r[i]=a.subarray(0,3):r[i]=a&&\"object\"==typeof a?u.minExtend(t[i],e[i]):a);for(o=Object.keys(e),n=0;n<o.length;n++)\"object\"==typeof(a=e[i=o[n]])&&i in r&&\"object\"==typeof r[i]||(r[i]=a);return r},u.titleCase=function(t){return t.charAt(0).toUpperCase()+t.substr(1)},u.containsAny=function(t,e){for(var r=0;r<e.length;r++)if(-1!==t.indexOf(e[r]))return!0;return!1},u.isIE=function(){return void 0!==window.navigator.msSaveBlob};var S=/Version\\/[\\d\\.]+.*Safari/;u.isSafari=function(){return S.test(window.navigator.userAgent)};var E=/iPad|iPhone|iPod/;u.isIOS=function(){return E.test(window.navigator.userAgent)};var L=/Firefox\\/(\\d+)\\.\\d+/;u.getFirefoxVersion=function(){var t=L.exec(window.navigator.userAgent);if(t&&2===t.length){var e=parseInt(t[1]);if(!isNaN(e))return e}return null},u.isD3Selection=function(t){return t instanceof n.selection},u.ensureSingle=function(t,e,r,n){var i=t.select(e+(r?\".\"+r:\"\"));if(i.size())return i;var a=t.append(e);return r&&a.classed(r,!0),n&&a.call(n),a},u.ensureSingleById=function(t,e,r,n){var i=t.select(e+\"#\"+r);if(i.size())return i;var a=t.append(e).attr(\"id\",r);return n&&a.call(n),a},u.objectFromPath=function(t,e){for(var r,n=t.split(\".\"),i=r={},a=0;a<n.length;a++){var o=n[a],s=null,l=n[a].match(/(.*)\\[([0-9]+)\\]/);l?(o=l[1],s=l[2],r=r[o]=[],a===n.length-1?r[s]=e:r[s]={},r=r[s]):(a===n.length-1?r[o]=e:r[o]={},r=r[o])}return i};var C=/^([^\\[\\.]+)\\.(.+)?/,P=/^([^\\.]+)\\[([0-9]+)\\](\\.)?(.+)?/;u.expandObjectPaths=function(t){var e,r,n,i,a,o,s;if(\"object\"==typeof t&&!Array.isArray(t))for(r in t)t.hasOwnProperty(r)&&((e=r.match(C))?(i=t[r],n=e[1],delete t[r],t[n]=u.extendDeepNoArrays(t[n]||{},u.objectFromPath(r,u.expandObjectPaths(i))[n])):(e=r.match(P))?(i=t[r],n=e[1],a=parseInt(e[2]),delete t[r],t[n]=t[n]||[],\".\"===e[3]?(s=e[4],o=t[n][a]=t[n][a]||{},u.extendDeepNoArrays(o,u.objectFromPath(s,u.expandObjectPaths(i)))):t[n][a]=u.expandObjectPaths(i)):t[r]=u.expandObjectPaths(t[r]));return t},u.numSeparate=function(t,e,r){if(r||(r=!1),\"string\"!=typeof e||0===e.length)throw new Error(\"Separator string required for formatting!\");\"number\"==typeof t&&(t=String(t));var n=/(\\d+)(\\d{3})/,i=e.charAt(0),a=e.charAt(1),o=t.split(\".\"),s=o[0],l=o.length>1?i+o[1]:\"\";if(a&&(o.length>1||s.length>4||r))for(;n.test(s);)s=s.replace(n,\"$1\"+a+\"$2\");return s+l},u.TEMPLATE_STRING_REGEX=/%{([^\\s%{}:]*)([:|\\|][^}]*)?}/g;var I=/^\\w*$/;u.templateString=function(t,e){var r={};return t.replace(u.TEMPLATE_STRING_REGEX,(function(t,n){var i;return I.test(n)?i=e[n]:(r[n]=r[n]||u.nestedProperty(e,n).get,i=r[n]()),u.isValidTextValue(i)?i:\"\"}))};var O={max:10,count:0,name:\"hovertemplate\"};u.hovertemplateString=function(){return R.apply(O,arguments)};var z={max:10,count:0,name:\"texttemplate\"};u.texttemplateString=function(){return R.apply(z,arguments)};var D=/^[:|\\|]/;function R(t,e,r){var a=this,o=arguments;e||(e={});var s={};return t.replace(u.TEMPLATE_STRING_REGEX,(function(t,l,c){var f,h,p,d=\"_xother\"===l||\"_yother\"===l,m=\"_xother_\"===l||\"_yother_\"===l,g=\"xother_\"===l||\"yother_\"===l,v=\"xother\"===l||\"yother\"===l||d||g||m,y=l;if((d||m)&&(y=y.substring(1)),(g||m)&&(y=y.substring(0,y.length-1)),v){if(void 0===(f=e[y]))return\"\"}else for(p=3;p<o.length;p++)if(h=o[p]){if(h.hasOwnProperty(y)){f=h[y];break}if(I.test(y)||(f=u.nestedProperty(h,y).get(),(f=s[y]||u.nestedProperty(h,y).get())&&(s[y]=f)),void 0!==f)break}if(void 0===f&&a)return a.count<a.max&&(u.warn(\"Variable '\"+y+\"' in \"+a.name+\" could not be found!\"),f=t),a.count===a.max&&u.warn(\"Too many \"+a.name+\" warnings - additional warnings will be suppressed\"),a.count++,t;if(c){var x;if(\":\"===c[0]&&(f=(x=r?r.numberFormat:n.format)(c.replace(D,\"\"))(f)),\"|\"===c[0]){x=r?r.timeFormat:i;var b=u.dateTime2ms(f);f=u.formatDate(b,c.replace(D,\"\"),!1,x)}}else{var _=y+\"Label\";e.hasOwnProperty(_)&&(f=e[_])}return v&&(f=\"(\"+f+\")\",(d||m)&&(f=\" \"+f),(g||m)&&(f+=\" \")),f}))}u.subplotSort=function(t,e){for(var r=Math.min(t.length,e.length)+1,n=0,i=0,a=0;a<r;a++){var o=t.charCodeAt(a)||0,s=e.charCodeAt(a)||0,l=o>=48&&o<=57,c=s>=48&&s<=57;if(l&&(n=10*n+o-48),c&&(i=10*i+s-48),!l||!c){if(n!==i)return n-i;if(o!==s)return o-s}}return i-n};var F=2e9;u.seedPseudoRandom=function(){F=2e9},u.pseudoRandom=function(){var t=F;return F=(69069*F+1)%4294967296,Math.abs(F-t)<429496729?u.pseudoRandom():F/4294967296},u.fillText=function(t,e,r){var n=Array.isArray(r)?function(t){r.push(t)}:function(t){r.text=t},i=u.extractOption(t,e,\"htx\",\"hovertext\");if(u.isValidTextValue(i))return n(i);var a=u.extractOption(t,e,\"tx\",\"text\");return u.isValidTextValue(a)?n(a):void 0},u.isValidTextValue=function(t){return t||0===t},u.formatPercent=function(t,e){e=e||0;for(var r=(Math.round(100*t*Math.pow(10,e))*Math.pow(.1,e)).toFixed(e)+\"%\",n=0;n<e;n++)-1!==r.indexOf(\".\")&&(r=(r=r.replace(\"0%\",\"%\")).replace(\".%\",\"%\"));return r},u.isHidden=function(t){var e=window.getComputedStyle(t).display;return!e||\"none\"===e},u.strTranslate=function(t,e){return t||e?\"translate(\"+t+\",\"+e+\")\":\"\"},u.strRotate=function(t){return t?\"rotate(\"+t+\")\":\"\"},u.strScale=function(t){return 1!==t?\"scale(\"+t+\")\":\"\"},u.getTextTransform=function(t){var e=t.noCenter,r=t.textX,n=t.textY,i=t.targetX,a=t.targetY,o=t.anchorX||0,s=t.anchorY||0,l=t.rotate,c=t.scale;return c?c>1&&(c=1):c=0,u.strTranslate(i-c*(r+o),a-c*(n+s))+u.strScale(c)+(l?\"rotate(\"+l+(e?\"\":\" \"+r+\" \"+n)+\")\":\"\")},u.ensureUniformFontSize=function(t,e){var r=u.extendFlat({},e);return r.size=Math.max(e.size,t._fullLayout.uniformtext.minsize||0),r},u.join2=function(t,e,r){var n=t.length;return n>1?t.slice(0,-1).join(e)+r+t[n-1]:t.join(e)},u.bigFont=function(t){return Math.round(1.2*t)};var B=u.getFirefoxVersion(),N=null!==B&&B<86;u.getPositionFromD3Event=function(){return N?[n.event.layerX,n.event.layerY]:[n.event.offsetX,n.event.offsetY]}},{\"../constants/numerical\":775,\"./anchor_utils\":779,\"./angles\":780,\"./array\":781,\"./clean_number\":782,\"./clear_responsive\":784,\"./coerce\":785,\"./dates\":786,\"./dom\":787,\"./extend\":789,\"./filter_unique\":790,\"./filter_visible\":791,\"./geometry2d\":794,\"./identity\":797,\"./increment\":798,\"./is_plain_object\":800,\"./keyed_container\":801,\"./localize\":802,\"./loggers\":803,\"./make_trace_groups\":804,\"./matrix\":805,\"./mod\":806,\"./nested_property\":807,\"./noop\":808,\"./notifier\":809,\"./preserve_drawing_buffer\":813,\"./push_unique\":814,\"./regex\":816,\"./relative_attr\":817,\"./relink_private\":818,\"./search\":819,\"./stats\":822,\"./throttle\":825,\"./to_log_range\":826,\"@plotly/d3\":58,\"d3-time-format\":172,\"fast-isnumeric\":245}],800:[function(t,e,r){\"use strict\";e.exports=function(t){return window&&window.process&&window.process.versions?\"[object Object]\"===Object.prototype.toString.call(t):\"[object Object]\"===Object.prototype.toString.call(t)&&Object.getPrototypeOf(t).hasOwnProperty(\"hasOwnProperty\")}},{}],801:[function(t,e,r){\"use strict\";var n=t(\"./nested_property\"),i=/^\\w*$/;e.exports=function(t,e,r,a){var o,s,l;r=r||\"name\",a=a||\"value\";var c={};e&&e.length?(l=n(t,e),s=l.get()):s=t,e=e||\"\";var u={};if(s)for(o=0;o<s.length;o++)u[s[o][r]]=o;var f=i.test(a),h={set:function(t,e){var i=null===e?4:0;if(!s){if(!l||4===i)return;s=[],l.set(s)}var o=u[t];if(void 0===o){if(4===i)return;i|=3,o=s.length,u[t]=o}else e!==(f?s[o][a]:n(s[o],a).get())&&(i|=2);var p=s[o]=s[o]||{};return p[r]=t,f?p[a]=e:n(p,a).set(e),null!==e&&(i&=-5),c[o]=c[o]|i,h},get:function(t){if(s){var e=u[t];return void 0===e?void 0:f?s[e][a]:n(s[e],a).get()}},rename:function(t,e){var n=u[t];return void 0===n||(c[n]=1|c[n],u[e]=n,delete u[t],s[n][r]=e),h},remove:function(t){var e=u[t];if(void 0===e)return h;var i=s[e];if(Object.keys(i).length>2)return c[e]=2|c[e],h.set(t,null);if(f){for(o=e;o<s.length;o++)c[o]=3|c[o];for(o=e;o<s.length;o++)u[s[o][r]]--;s.splice(e,1),delete u[t]}else n(i,a).set(null),c[e]=6|c[e];return h},constructUpdate:function(){for(var t,i,o={},l=Object.keys(c),u=0;u<l.length;u++)i=l[u],t=e+\"[\"+i+\"]\",s[i]?(1&c[i]&&(o[t+\".\"+r]=s[i][r]),2&c[i]&&(o[t+\".\"+a]=f?4&c[i]?null:s[i][a]:4&c[i]?null:n(s[i],a).get())):o[t]=null;return o}};return h}},{\"./nested_property\":807}],802:[function(t,e,r){\"use strict\";var n=t(\"../registry\");e.exports=function(t,e){for(var r=t._context.locale,i=0;i<2;i++){for(var a=t._context.locales,o=0;o<2;o++){var s=(a[r]||{}).dictionary;if(s){var l=s[e];if(l)return l}a=n.localeRegistry}var c=r.split(\"-\")[0];if(c===r)break;r=c}return e}},{\"../registry\":927}],803:[function(t,e,r){\"use strict\";var n=t(\"../plot_api/plot_config\").dfltConfig,i=t(\"./notifier\"),a=e.exports={};a.log=function(){var t;if(n.logging>1){var e=[\"LOG:\"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);console.trace.apply(console,e)}if(n.notifyOnLogging>1){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join(\"<br>\"),\"long\")}},a.warn=function(){var t;if(n.logging>0){var e=[\"WARN:\"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);console.trace.apply(console,e)}if(n.notifyOnLogging>0){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join(\"<br>\"),\"stick\")}},a.error=function(){var t;if(n.logging>0){var e=[\"ERROR:\"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);console.error.apply(console,e)}if(n.notifyOnLogging>0){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join(\"<br>\"),\"stick\")}}},{\"../plot_api/plot_config\":836,\"./notifier\":809}],804:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\");e.exports=function(t,e,r){var i=t.selectAll(\"g.\"+r.replace(/\\s/g,\".\")).data(e,(function(t){return t[0].trace.uid}));i.exit().remove(),i.enter().append(\"g\").attr(\"class\",r),i.order();var a=t.classed(\"rangeplot\")?\"nodeRangePlot3\":\"node3\";return i.each((function(t){t[0][a]=n.select(this)})),i}},{\"@plotly/d3\":58}],805:[function(t,e,r){\"use strict\";var n=t(\"gl-mat4\");r.init2dArray=function(t,e){for(var r=new Array(t),n=0;n<t;n++)r[n]=new Array(e);return r},r.transposeRagged=function(t){var e,r,n=0,i=t.length;for(e=0;e<i;e++)n=Math.max(n,t[e].length);var a=new Array(n);for(e=0;e<n;e++)for(a[e]=new Array(i),r=0;r<i;r++)a[e][r]=t[r][e];return a},r.dot=function(t,e){if(!t.length||!e.length||t.length!==e.length)return null;var n,i,a=t.length;if(t[0].length)for(n=new Array(a),i=0;i<a;i++)n[i]=r.dot(t[i],e);else if(e[0].length){var o=r.transposeRagged(e);for(n=new Array(o.length),i=0;i<o.length;i++)n[i]=r.dot(t,o[i])}else for(n=0,i=0;i<a;i++)n+=t[i]*e[i];return n},r.translationMatrix=function(t,e){return[[1,0,t],[0,1,e],[0,0,1]]},r.rotationMatrix=function(t){var e=t*Math.PI/180;return[[Math.cos(e),-Math.sin(e),0],[Math.sin(e),Math.cos(e),0],[0,0,1]]},r.rotationXYMatrix=function(t,e,n){return r.dot(r.dot(r.translationMatrix(e,n),r.rotationMatrix(t)),r.translationMatrix(-e,-n))},r.apply3DTransform=function(t){return function(){var e=arguments,n=1===arguments.length?e[0]:[e[0],e[1],e[2]||0];return r.dot(t,[n[0],n[1],n[2],1]).slice(0,3)}},r.apply2DTransform=function(t){return function(){var e=arguments;3===e.length&&(e=e[0]);var n=1===arguments.length?e[0]:[e[0],e[1]];return r.dot(t,[n[0],n[1],1]).slice(0,2)}},r.apply2DTransform2=function(t){var e=r.apply2DTransform(t);return function(t){return e(t.slice(0,2)).concat(e(t.slice(2,4)))}},r.convertCssMatrix=function(t){if(t){var e=t.length;if(16===e)return t;if(6===e)return[t[0],t[1],0,0,t[2],t[3],0,0,0,0,1,0,t[4],t[5],0,1]}return[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]},r.inverseTransformMatrix=function(t){var e=[];return n.invert(e,t),[[e[0],e[1],e[2],e[3]],[e[4],e[5],e[6],e[7]],[e[8],e[9],e[10],e[11]],[e[12],e[13],e[14],e[15]]]}},{\"gl-mat4\":294}],806:[function(t,e,r){\"use strict\";e.exports={mod:function(t,e){var r=t%e;return r<0?r+e:r},modHalf:function(t,e){return Math.abs(t)>e/2?t-Math.round(t/e)*e:t}}},{}],807:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"./array\").isArrayOrTypedArray;function a(t,e){return function(){var r,n,o,s,l,c=t;for(s=0;s<e.length-1;s++){if(-1===(r=e[s])){for(n=!0,o=[],l=0;l<c.length;l++)o[l]=a(c[l],e.slice(s+1))(),o[l]!==o[0]&&(n=!1);return n?o[0]:o}if(\"number\"==typeof r&&!i(c))return;if(\"object\"!=typeof(c=c[r])||null===c)return}if(\"object\"==typeof c&&null!==c&&null!==(o=c[e[s]]))return o}}e.exports=function(t,e){if(n(e))e=String(e);else if(\"string\"!=typeof e||\"[-1]\"===e.substr(e.length-4))throw\"bad property string\";for(var r,i,o,s=0,c=e.split(\".\");s<c.length;){if(r=String(c[s]).match(/^([^\\[\\]]*)((\\[\\-?[0-9]*\\])+)$/)){if(r[1])c[s]=r[1];else{if(0!==s)throw\"bad property string\";c.splice(0,1)}for(i=r[2].substr(1,r[2].length-2).split(\"][\"),o=0;o<i.length;o++)s++,c.splice(s,0,Number(i[o]))}s++}return\"object\"!=typeof t?function(t,e,r){return{set:function(){throw\"bad container\"},get:function(){},astr:e,parts:r,obj:t}}(t,e,c):{set:l(t,c,e),get:a(t,c),astr:e,parts:c,obj:t}};var o=/(^|\\.)args\\[/;function s(t,e){return void 0===t||null===t&&!e.match(o)}function l(t,e,r){return function(n){var a,o,l=t,h=\"\",p=[[t,h]],d=s(n,r);for(o=0;o<e.length-1;o++){if(\"number\"==typeof(a=e[o])&&!i(l))throw\"array index but container is not an array\";if(-1===a){if(d=!u(l,e.slice(o+1),n,r))break;return}if(!f(l,a,e[o+1],d))break;if(\"object\"!=typeof(l=l[a])||null===l)throw\"container is not an object\";h=c(h,a),p.push([l,h])}if(d){if(o===e.length-1&&(delete l[e[o]],Array.isArray(l)&&+e[o]==l.length-1))for(;l.length&&void 0===l[l.length-1];)l.pop()}else l[e[o]]=n}}function c(t,e){var r=e;return n(e)?r=\"[\"+e+\"]\":t&&(r=\".\"+e),t+r}function u(t,e,r,n){var a,o=i(r),c=!0,u=r,h=n.replace(\"-1\",0),p=!o&&s(r,h),d=e[0];for(a=0;a<t.length;a++)h=n.replace(\"-1\",a),o&&(p=s(u=r[a%r.length],h)),p&&(c=!1),f(t,a,d,p)&&l(t[a],e,n.replace(\"-1\",a))(u);return c}function f(t,e,r,n){if(void 0===t[e]){if(n)return!1;t[e]=\"number\"==typeof r?[]:{}}return!0}},{\"./array\":781,\"fast-isnumeric\":245}],808:[function(t,e,r){\"use strict\";e.exports=function(){}},{}],809:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=[];e.exports=function(t,e){if(-1===a.indexOf(t)){a.push(t);var r=1e3;i(e)?r=e:\"long\"===e&&(r=3e3);var o=n.select(\"body\").selectAll(\".plotly-notifier\").data([0]);o.enter().append(\"div\").classed(\"plotly-notifier\",!0),o.selectAll(\".notifier-note\").data(a).enter().append(\"div\").classed(\"notifier-note\",!0).style(\"opacity\",0).each((function(t){var i=n.select(this);i.append(\"button\").classed(\"notifier-close\",!0).html(\"&times;\").on(\"click\",(function(){i.transition().call(s)}));for(var a=i.append(\"p\"),o=t.split(/<br\\s*\\/?>/g),l=0;l<o.length;l++)l&&a.append(\"br\"),a.append(\"span\").text(o[l]);\"stick\"===e?i.transition().duration(350).style(\"opacity\",1):i.transition().duration(700).style(\"opacity\",1).transition().delay(r).call(s)}))}function s(t){t.duration(700).style(\"opacity\",0).each(\"end\",(function(t){var e=a.indexOf(t);-1!==e&&a.splice(e,1),n.select(this).remove()}))}}},{\"@plotly/d3\":58,\"fast-isnumeric\":245}],810:[function(t,e,r){\"use strict\";var n=t(\"./setcursor\"),i=\"data-savedcursor\";e.exports=function(t,e){var r=t.attr(i);if(e){if(!r){for(var a=(t.attr(\"class\")||\"\").split(\" \"),o=0;o<a.length;o++){var s=a[o];0===s.indexOf(\"cursor-\")&&t.attr(i,s.substr(7)).classed(s,!1)}t.attr(i)||t.attr(i,\"!!\")}n(t,e)}else r&&(t.attr(i,null),\"!!\"===r?n(t):n(t,r))}},{\"./setcursor\":820}],811:[function(t,e,r){\"use strict\";var n=t(\"./matrix\").dot,i=t(\"../constants/numerical\").BADNUM,a=e.exports={};a.tester=function(t){var e,r=t.slice(),n=r[0][0],a=n,o=r[0][1],s=o;for(r.push(r[0]),e=1;e<r.length;e++)n=Math.min(n,r[e][0]),a=Math.max(a,r[e][0]),o=Math.min(o,r[e][1]),s=Math.max(s,r[e][1]);var l,c=!1;5===r.length&&(r[0][0]===r[1][0]?r[2][0]===r[3][0]&&r[0][1]===r[3][1]&&r[1][1]===r[2][1]&&(c=!0,l=function(t){return t[0]===r[0][0]}):r[0][1]===r[1][1]&&r[2][1]===r[3][1]&&r[0][0]===r[3][0]&&r[1][0]===r[2][0]&&(c=!0,l=function(t){return t[1]===r[0][1]}));var u=!0,f=r[0];for(e=1;e<r.length;e++)if(f[0]!==r[e][0]||f[1]!==r[e][1]){u=!1;break}return{xmin:n,xmax:a,ymin:o,ymax:s,pts:r,contains:c?function(t,e){var r=t[0],c=t[1];return!(r===i||r<n||r>a||c===i||c<o||c>s)&&(!e||!l(t))}:function(t,e){var l=t[0],c=t[1];if(l===i||l<n||l>a||c===i||c<o||c>s)return!1;var u,f,h,p,d,m=r.length,g=r[0][0],v=r[0][1],y=0;for(u=1;u<m;u++)if(f=g,h=v,g=r[u][0],v=r[u][1],!(l<(p=Math.min(f,g))||l>Math.max(f,g)||c>Math.max(h,v)))if(c<Math.min(h,v))l!==p&&y++;else{if(c===(d=g===f?c:h+(l-f)*(v-h)/(g-f)))return 1!==u||!e;c<=d&&l!==p&&y++}return y%2==1},isRect:c,degenerate:u}},a.isSegmentBent=function(t,e,r,i){var a,o,s,l=t[e],c=[t[r][0]-l[0],t[r][1]-l[1]],u=n(c,c),f=Math.sqrt(u),h=[-c[1]/f,c[0]/f];for(a=e+1;a<r;a++)if(o=[t[a][0]-l[0],t[a][1]-l[1]],(s=n(o,c))<0||s>u||Math.abs(n(o,h))>i)return!0;return!1},a.filter=function(t,e){var r=[t[0]],n=0,i=0;function o(o){t.push(o);var s=r.length,l=n;r.splice(i+1);for(var c=l+1;c<t.length;c++)(c===t.length-1||a.isSegmentBent(t,l,c+1,e))&&(r.push(t[c]),r.length<s-2&&(n=c,i=r.length-1),l=c)}t.length>1&&o(t.pop());return{addPt:o,raw:t,filtered:r}}},{\"../constants/numerical\":775,\"./matrix\":805}],812:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"./show_no_webgl_msg\"),i=t(\"regl\");e.exports=function(t,e){var a=t._fullLayout,o=!0;return a._glcanvas.each((function(n){if(!n.regl&&(!n.pick||a._has(\"parcoords\"))){try{n.regl=i({canvas:this,attributes:{antialias:!n.pick,preserveDrawingBuffer:!0},pixelRatio:t._context.plotGlPixelRatio||r.devicePixelRatio,extensions:e||[]})}catch(t){o=!1}n.regl||(o=!1),o&&this.addEventListener(\"webglcontextlost\",(function(e){t&&t.emit&&t.emit(\"plotly_webglcontextlost\",{event:e,layer:n.key})}),!1)}})),o||n({container:a._glcontainer.node()}),o}}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"./show_no_webgl_msg\":821,regl:536}],813:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"is-mobile\");e.exports=function(t){var e;if(\"string\"!=typeof(e=t&&t.hasOwnProperty(\"userAgent\")?t.userAgent:function(){var t;\"undefined\"!=typeof navigator&&(t=navigator.userAgent);t&&t.headers&&\"string\"==typeof t.headers[\"user-agent\"]&&(t=t.headers[\"user-agent\"]);return t}()))return!0;var r=i({ua:{headers:{\"user-agent\":e}},tablet:!0,featureDetect:!1});if(!r)for(var a=e.split(\" \"),o=1;o<a.length;o++){if(-1!==a[o].indexOf(\"Safari\"))for(var s=o-1;s>-1;s--){var l=a[s];if(\"Version/\"===l.substr(0,8)){var c=l.substr(8).split(\".\")[0];if(n(c)&&(c=+c),c>=13)return!0}}}return r}},{\"fast-isnumeric\":245,\"is-mobile\":451}],814:[function(t,e,r){\"use strict\";e.exports=function(t,e){if(e instanceof RegExp){for(var r=e.toString(),n=0;n<t.length;n++)if(t[n]instanceof RegExp&&t[n].toString()===r)return t;t.push(e)}else!e&&0!==e||-1!==t.indexOf(e)||t.push(e);return t}},{}],815:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../plot_api/plot_config\").dfltConfig;var a={add:function(t,e,r,n,a){var o,s;t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},s=t.undoQueue.index,t.autoplay?t.undoQueue.inSequence||(t.autoplay=!1):(!t.undoQueue.sequence||t.undoQueue.beginSequence?(o={undo:{calls:[],args:[]},redo:{calls:[],args:[]}},t.undoQueue.queue.splice(s,t.undoQueue.queue.length-s,o),t.undoQueue.index+=1):o=t.undoQueue.queue[s-1],t.undoQueue.beginSequence=!1,o&&(o.undo.calls.unshift(e),o.undo.args.unshift(r),o.redo.calls.push(n),o.redo.args.push(a)),t.undoQueue.queue.length>i.queueLength&&(t.undoQueue.queue.shift(),t.undoQueue.index--))},startSequence:function(t){t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},t.undoQueue.sequence=!0,t.undoQueue.beginSequence=!0},stopSequence:function(t){t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},t.undoQueue.sequence=!1,t.undoQueue.beginSequence=!1},undo:function(t){var e,r;if(!(void 0===t.undoQueue||isNaN(t.undoQueue.index)||t.undoQueue.index<=0)){for(t.undoQueue.index--,e=t.undoQueue.queue[t.undoQueue.index],t.undoQueue.inSequence=!0,r=0;r<e.undo.calls.length;r++)a.plotDo(t,e.undo.calls[r],e.undo.args[r]);t.undoQueue.inSequence=!1,t.autoplay=!1}},redo:function(t){var e,r;if(!(void 0===t.undoQueue||isNaN(t.undoQueue.index)||t.undoQueue.index>=t.undoQueue.queue.length)){for(e=t.undoQueue.queue[t.undoQueue.index],t.undoQueue.inSequence=!0,r=0;r<e.redo.calls.length;r++)a.plotDo(t,e.redo.calls[r],e.redo.args[r]);t.undoQueue.inSequence=!1,t.autoplay=!1,t.undoQueue.index++}}};a.plotDo=function(t,e,r){t.autoplay=!0,r=function(t,e){for(var r,i=[],a=0;a<e.length;a++)r=e[a],i[a]=r===t?r:\"object\"==typeof r?Array.isArray(r)?n.extendDeep([],r):n.extendDeepAll({},r):r;return i}(t,r),e.apply(null,r)},e.exports=a},{\"../lib\":799,\"../plot_api/plot_config\":836}],816:[function(t,e,r){\"use strict\";r.counter=function(t,e,r,n){var i=(e||\"\")+(r?\"\":\"$\"),a=!1===n?\"\":\"^\";return\"xy\"===t?new RegExp(a+\"x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?\"+i):new RegExp(a+t+\"([2-9]|[1-9][0-9]+)?\"+i)}},{}],817:[function(t,e,r){\"use strict\";var n=/^(.*)(\\.[^\\.\\[\\]]+|\\[\\d\\])$/,i=/^[^\\.\\[\\]]+$/;e.exports=function(t,e){for(;e;){var r=t.match(n);if(r)t=r[1];else{if(!t.match(i))throw new Error(\"bad relativeAttr call:\"+[t,e]);t=\"\"}if(\"^\"!==e.charAt(0))break;e=e.slice(1)}return t&&\"[\"!==e.charAt(0)?t+\".\"+e:t+e}},{}],818:[function(t,e,r){\"use strict\";var n=t(\"./array\").isArrayOrTypedArray,i=t(\"./is_plain_object\");e.exports=function t(e,r){for(var a in r){var o=r[a],s=e[a];if(s!==o)if(\"_\"===a.charAt(0)||\"function\"==typeof o){if(a in e)continue;e[a]=o}else if(n(o)&&n(s)&&i(o[0])){if(\"customdata\"===a||\"ids\"===a)continue;for(var l=Math.min(o.length,s.length),c=0;c<l;c++)s[c]!==o[c]&&i(o[c])&&i(s[c])&&t(s[c],o[c])}else i(o)&&i(s)&&(t(s,o),Object.keys(s).length||delete e[a])}}},{\"./array\":781,\"./is_plain_object\":800}],819:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"./loggers\"),a=t(\"./identity\"),o=t(\"../constants/numerical\").BADNUM;function s(t,e){return t<e}function l(t,e){return t<=e}function c(t,e){return t>e}function u(t,e){return t>=e}r.findBin=function(t,e,r){if(n(e.start))return r?Math.ceil((t-e.start)/e.size-1e-9)-1:Math.floor((t-e.start)/e.size+1e-9);var a,o,f=0,h=e.length,p=0,d=h>1?(e[h-1]-e[0])/(h-1):1;for(o=d>=0?r?s:l:r?u:c,t+=1e-9*d*(r?-1:1)*(d>=0?1:-1);f<h&&p++<100;)o(e[a=Math.floor((f+h)/2)],t)?f=a+1:h=a;return p>90&&i.log(\"Long binary search...\"),f-1},r.sorterAsc=function(t,e){return t-e},r.sorterDes=function(t,e){return e-t},r.distinctVals=function(t){var e,n=t.slice();for(n.sort(r.sorterAsc),e=n.length-1;e>-1&&n[e]===o;e--);for(var i,a=n[e]-n[0]||1,s=a/(e||1)/1e4,l=[],c=0;c<=e;c++){var u=n[c],f=u-i;void 0===i?(l.push(u),i=u):f>s&&(a=Math.min(a,f),l.push(u),i=u)}return{vals:l,minDiff:a}},r.roundUp=function(t,e,r){for(var n,i=0,a=e.length-1,o=0,s=r?0:1,l=r?1:0,c=r?Math.ceil:Math.floor;i<a&&o++<100;)e[n=c((i+a)/2)]<=t?i=n+s:a=n-l;return e[i]},r.sort=function(t,e){for(var r=0,n=0,i=1;i<t.length;i++){var a=e(t[i],t[i-1]);if(a<0?r=1:a>0&&(n=1),r&&n)return t.sort(e)}return n?t:t.reverse()},r.findIndexOfMin=function(t,e){e=e||a;for(var r,n=1/0,i=0;i<t.length;i++){var o=e(t[i]);o<n&&(n=o,r=i)}return r}},{\"../constants/numerical\":775,\"./identity\":797,\"./loggers\":803,\"fast-isnumeric\":245}],820:[function(t,e,r){\"use strict\";e.exports=function(t,e){(t.attr(\"class\")||\"\").split(\" \").forEach((function(e){0===e.indexOf(\"cursor-\")&&t.classed(e,!1)})),e&&t.classed(\"cursor-\"+e,!0)}},{}],821:[function(t,e,r){\"use strict\";var n=t(\"../components/color\"),i=function(){};e.exports=function(t){for(var e in t)\"function\"==typeof t[e]&&(t[e]=i);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var r=document.createElement(\"div\");r.className=\"no-webgl\",r.style.cursor=\"pointer\",r.style.fontSize=\"24px\",r.style.color=n.defaults[0],r.style.position=\"absolute\",r.style.left=r.style.top=\"0px\",r.style.width=r.style.height=\"100%\",r.style[\"background-color\"]=n.lightLine,r.style[\"z-index\"]=30;var a=document.createElement(\"p\");return a.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more info\",a.style.position=\"relative\",a.style.top=\"50%\",a.style.left=\"50%\",a.style.height=\"30%\",a.style.width=\"50%\",a.style.margin=\"-15% 0 0 -25%\",r.appendChild(a),t.container.appendChild(r),t.container.style.background=\"#FFFFFF\",t.container.onclick=function(){window.open(\"https://get.webgl.org\")},!1}},{\"../components/color\":662}],822:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"./array\").isArrayOrTypedArray;r.aggNums=function(t,e,a,o){var s,l;if((!o||o>a.length)&&(o=a.length),n(e)||(e=!1),i(a[0])){for(l=new Array(o),s=0;s<o;s++)l[s]=r.aggNums(t,e,a[s]);a=l}for(s=0;s<o;s++)n(e)?n(a[s])&&(e=t(+e,+a[s])):e=a[s];return e},r.len=function(t){return r.aggNums((function(t){return t+1}),0,t)},r.mean=function(t,e){return e||(e=r.len(t)),r.aggNums((function(t,e){return t+e}),0,t)/e},r.midRange=function(t){if(void 0!==t&&0!==t.length)return(r.aggNums(Math.max,null,t)+r.aggNums(Math.min,null,t))/2},r.variance=function(t,e,i){return e||(e=r.len(t)),n(i)||(i=r.mean(t,e)),r.aggNums((function(t,e){return t+Math.pow(e-i,2)}),0,t)/e},r.stdev=function(t,e,n){return Math.sqrt(r.variance(t,e,n))},r.median=function(t){var e=t.slice().sort();return r.interp(e,.5)},r.interp=function(t,e){if(!n(e))throw\"n should be a finite number\";if((e=e*t.length-.5)<0)return t[0];if(e>t.length-1)return t[t.length-1];var r=e%1;return r*t[Math.ceil(e)]+(1-r)*t[Math.floor(e)]}},{\"./array\":781,\"fast-isnumeric\":245}],823:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\");e.exports=function(t){return t?n(t):[0,0,0,1]}},{\"color-normalize\":131}],824:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../lib\"),a=i.strTranslate,o=t(\"../constants/xmlns_namespaces\"),s=t(\"../constants/alignment\").LINE_SPACING;function l(t,e){return t.node().getBoundingClientRect()[e]}var c=/([^$]*)([$]+[^$]*[$]+)([^$]*)/;r.convertToTspans=function(t,e,A){var S=t.text(),L=!t.attr(\"data-notex\")&&\"undefined\"!=typeof MathJax&&S.match(c),C=n.select(t.node().parentNode);if(!C.empty()){var P=t.attr(\"class\")?t.attr(\"class\").split(\" \")[0]:\"text\";return P+=\"-math\",C.selectAll(\"svg.\"+P).remove(),C.selectAll(\"g.\"+P+\"-group\").remove(),t.style(\"display\",null).attr({\"data-unformatted\":S,\"data-math\":\"N\"}),L?(e&&e._promises||[]).push(new Promise((function(e){t.style(\"display\",\"none\");var r=parseInt(t.node().style.fontSize,10),o={fontSize:r};!function(t,e,r){var a,o,s,l;MathJax.Hub.Queue((function(){return o=i.extendDeepAll({},MathJax.Hub.config),s=MathJax.Hub.processSectionDelay,void 0!==MathJax.Hub.processSectionDelay&&(MathJax.Hub.processSectionDelay=0),MathJax.Hub.Config({messageStyle:\"none\",tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]},displayAlign:\"left\"})}),(function(){if(\"SVG\"!==(a=MathJax.Hub.config.menuSettings.renderer))return MathJax.Hub.setRenderer(\"SVG\")}),(function(){var r=\"math-output-\"+i.randstr({},64);return l=n.select(\"body\").append(\"div\").attr({id:r}).style({visibility:\"hidden\",position:\"absolute\"}).style({\"font-size\":e.fontSize+\"px\"}).text(t.replace(u,\"\\\\lt \").replace(f,\"\\\\gt \")),MathJax.Hub.Typeset(l.node())}),(function(){var e=n.select(\"body\").select(\"#MathJax_SVG_glyphs\");if(l.select(\".MathJax_SVG\").empty()||!l.select(\"svg\").node())i.log(\"There was an error in the tex syntax.\",t),r();else{var o=l.select(\"svg\").node().getBoundingClientRect();r(l.select(\".MathJax_SVG\"),e,o)}if(l.remove(),\"SVG\"!==a)return MathJax.Hub.setRenderer(a)}),(function(){return void 0!==s&&(MathJax.Hub.processSectionDelay=s),MathJax.Hub.Config(o)}))}(L[2],o,(function(n,i,o){C.selectAll(\"svg.\"+P).remove(),C.selectAll(\"g.\"+P+\"-group\").remove();var s=n&&n.select(\"svg\");if(!s||!s.node())return I(),void e();var c=C.append(\"g\").classed(P+\"-group\",!0).attr({\"pointer-events\":\"none\",\"data-unformatted\":S,\"data-math\":\"Y\"});c.node().appendChild(s.node()),i&&i.node()&&s.node().insertBefore(i.node().cloneNode(!0),s.node().firstChild),s.attr({class:P,height:o.height,preserveAspectRatio:\"xMinYMin meet\"}).style({overflow:\"visible\",\"pointer-events\":\"none\"});var u=t.node().style.fill||\"black\",f=s.select(\"g\");f.attr({fill:u,stroke:u});var h=l(f,\"width\"),p=l(f,\"height\"),d=+t.attr(\"x\")-h*{start:0,middle:.5,end:1}[t.attr(\"text-anchor\")||\"start\"],m=-(r||l(t,\"height\"))/4;\"y\"===P[0]?(c.attr({transform:\"rotate(\"+[-90,+t.attr(\"x\"),+t.attr(\"y\")]+\")\"+a(-h/2,m-p/2)}),s.attr({x:+t.attr(\"x\"),y:+t.attr(\"y\")})):\"l\"===P[0]?s.attr({x:t.attr(\"x\"),y:m-p/2}):\"a\"===P[0]&&0!==P.indexOf(\"atitle\")?s.attr({x:0,y:m}):s.attr({x:d,y:+t.attr(\"y\")+m-p/2}),A&&A.call(t,c),e(c)}))}))):I(),t}function I(){C.empty()||(P=t.attr(\"class\")+\"-math\",C.select(\"svg.\"+P).remove()),t.text(\"\").style(\"white-space\",\"pre\"),function(t,e){e=e.replace(g,\" \");var r,a=!1,l=[],c=-1;function u(){c++;var e=document.createElementNS(o.svg,\"tspan\");n.select(e).attr({class:\"line\",dy:c*s+\"em\"}),t.appendChild(e),r=e;var i=l;if(l=[{node:e}],i.length>1)for(var a=1;a<i.length;a++)f(i[a])}function f(t){var e,i=t.type,a={};if(\"a\"===i){e=\"a\";var s=t.target,c=t.href,u=t.popup;c&&(a={\"xlink:xlink:show\":\"_blank\"===s||\"_\"!==s.charAt(0)?\"new\":\"replace\",target:s,\"xlink:xlink:href\":c},u&&(a.onclick='window.open(this.href.baseVal,this.target.baseVal,\"'+u+'\");return false;'))}else e=\"tspan\";t.style&&(a.style=t.style);var f=document.createElementNS(o.svg,e);if(\"sup\"===i||\"sub\"===i){A(r,\"\\u200b\"),r.appendChild(f);var h=document.createElementNS(o.svg,\"tspan\");A(h,\"\\u200b\"),n.select(h).attr(\"dy\",d[i]),a.dy=p[i],r.appendChild(f),r.appendChild(h)}else r.appendChild(f);n.select(f).attr(a),r=t.node=f,l.push(t)}function A(t,e){t.appendChild(document.createTextNode(e))}function S(t){if(1!==l.length){var n=l.pop();t!==n.type&&i.log(\"Start tag <\"+n.type+\"> doesnt match end tag <\"+t+\">. Pretending it did match.\",e),r=l[l.length-1].node}else i.log(\"Ignoring unexpected end tag </\"+t+\">.\",e)}x.test(e)?u():(r=t,l=[{node:t}]);for(var L=e.split(v),C=0;C<L.length;C++){var P=L[C],I=P.match(y),O=I&&I[2].toLowerCase(),z=h[O];if(\"br\"===O)u();else if(void 0===z)A(r,E(P));else if(I[1])S(O);else{var D=I[4],R={type:O},F=k(D,b);if(F?(F=F.replace(M,\"$1 fill:\"),z&&(F+=\";\"+z)):z&&(F=z),F&&(R.style=F),\"a\"===O){a=!0;var B=k(D,_);if(B){var N=document.createElement(\"a\");N.href=B,-1!==m.indexOf(N.protocol)&&(R.href=encodeURI(decodeURI(B)),R.target=k(D,w)||\"_blank\",R.popup=k(D,T))}}f(R)}}return a}(t.node(),S)&&t.style(\"pointer-events\",\"all\"),r.positionText(t),A&&A.call(t)}};var u=/(<|&lt;|&#60;)/g,f=/(>|&gt;|&#62;)/g;var h={sup:\"font-size:70%\",sub:\"font-size:70%\",b:\"font-weight:bold\",i:\"font-style:italic\",a:\"cursor:pointer\",span:\"\",em:\"font-style:italic;font-weight:bold\"},p={sub:\"0.3em\",sup:\"-0.6em\"},d={sub:\"-0.21em\",sup:\"0.42em\"},m=[\"http:\",\"https:\",\"mailto:\",\"\",void 0,\":\"],g=r.NEWLINES=/(\\r\\n?|\\n)/g,v=/(<[^<>]*>)/,y=/<(\\/?)([^ >]*)(\\s+(.*))?>/i,x=/<br(\\s+.*)?>/i;r.BR_TAG_ALL=/<br(\\s+.*)?>/gi;var b=/(^|[\\s\"'])style\\s*=\\s*(\"([^\"]*);?\"|'([^']*);?')/i,_=/(^|[\\s\"'])href\\s*=\\s*(\"([^\"]*)\"|'([^']*)')/i,w=/(^|[\\s\"'])target\\s*=\\s*(\"([^\"\\s]*)\"|'([^'\\s]*)')/i,T=/(^|[\\s\"'])popup\\s*=\\s*(\"([\\w=,]*)\"|'([\\w=,]*)')/i;function k(t,e){if(!t)return null;var r=t.match(e),n=r&&(r[3]||r[4]);return n&&E(n)}var M=/(^|;)\\s*color:/;r.plainText=function(t,e){for(var r=void 0!==(e=e||{}).len&&-1!==e.len?e.len:1/0,n=void 0!==e.allowedTags?e.allowedTags:[\"br\"],i=\"...\".length,a=t.split(v),o=[],s=\"\",l=0,c=0;c<a.length;c++){var u=a[c],f=u.match(y),h=f&&f[2].toLowerCase();if(h)-1!==n.indexOf(h)&&(o.push(u),s=h);else{var p=u.length;if(l+p<r)o.push(u),l+=p;else if(l<r){var d=r-l;s&&(\"br\"!==s||d<=i||p<=i)&&o.pop(),r>i?o.push(u.substr(0,d-i)+\"...\"):o.push(u.substr(0,d));break}s=\"\"}}return o.join(\"\")};var A={mu:\"\\u03bc\",amp:\"&\",lt:\"<\",gt:\">\",nbsp:\"\\xa0\",times:\"\\xd7\",plusmn:\"\\xb1\",deg:\"\\xb0\"},S=/&(#\\d+|#x[\\da-fA-F]+|[a-z]+);/g;function E(t){return t.replace(S,(function(t,e){return(\"#\"===e.charAt(0)?function(t){if(t>1114111)return;var e=String.fromCodePoint;if(e)return e(t);var r=String.fromCharCode;return t<=65535?r(t):r(55232+(t>>10),t%1024+56320)}(\"x\"===e.charAt(1)?parseInt(e.substr(2),16):parseInt(e.substr(1),10)):A[e])||t}))}function L(t,e,r){var n,a,o,s=r.horizontalAlign,l=r.verticalAlign||\"top\",c=t.node().getBoundingClientRect(),u=e.node().getBoundingClientRect();return a=\"bottom\"===l?function(){return c.bottom-n.height}:\"middle\"===l?function(){return c.top+(c.height-n.height)/2}:function(){return c.top},o=\"right\"===s?function(){return c.right-n.width}:\"center\"===s?function(){return c.left+(c.width-n.width)/2}:function(){return c.left},function(){n=this.node().getBoundingClientRect();var t=o()-u.left,e=a()-u.top,s=r.gd||{};if(r.gd){s._fullLayout._calcInverseTransform(s);var l=i.apply3DTransform(s._fullLayout._invTransform)(t,e);t=l[0],e=l[1]}return this.style({top:e+\"px\",left:t+\"px\",\"z-index\":1e3}),this}}r.convertEntities=E,r.sanitizeHTML=function(t){t=t.replace(g,\" \");for(var e=document.createElement(\"p\"),r=e,i=[],a=t.split(v),o=0;o<a.length;o++){var s=a[o],l=s.match(y),c=l&&l[2].toLowerCase();if(c in h)if(l[1])i.length&&(r=i.pop());else{var u=l[4],f=k(u,b),p=f?{style:f}:{};if(\"a\"===c){var d=k(u,_);if(d){var x=document.createElement(\"a\");if(x.href=d,-1!==m.indexOf(x.protocol)){p.href=encodeURI(decodeURI(d));var T=k(u,w);T&&(p.target=T)}}}var M=document.createElement(c);r.appendChild(M),n.select(M).attr(p),r=M,i.push(M)}else r.appendChild(document.createTextNode(E(s)))}return e.innerHTML},r.lineCount=function(t){return t.selectAll(\"tspan.line\").size()||1},r.positionText=function(t,e,r){return t.each((function(){var t=n.select(this);function i(e,r){return void 0===r?null===(r=t.attr(e))&&(t.attr(e,0),r=0):t.attr(e,r),r}var a=i(\"x\",e),o=i(\"y\",r);\"text\"===this.nodeName&&t.selectAll(\"tspan.line\").attr({x:a,y:o})}))};r.makeTextShadow=function(t){var e=\"1px \",r=\"1px \",n=\"1px \";return e+r+n+t+\", -\"+e+\"-\"+r+n+t+\", \"+e+\"-\"+r+n+t+\", -\"+e+r+n+t},r.makeEditable=function(t,e){var r=e.gd,i=e.delegate,a=n.dispatch(\"edit\",\"input\",\"cancel\"),o=i||t;if(t.style({\"pointer-events\":i?\"none\":\"all\"}),1!==t.size())throw new Error(\"boo\");function s(){!function(){var i=n.select(r).select(\".svg-container\"),o=i.append(\"div\"),s=t.node().style,c=parseFloat(s.fontSize||12),u=e.text;void 0===u&&(u=t.attr(\"data-unformatted\"));o.classed(\"plugin-editable editable\",!0).style({position:\"absolute\",\"font-family\":s.fontFamily||\"Arial\",\"font-size\":c,color:e.fill||s.fill||\"black\",opacity:1,\"background-color\":e.background||\"transparent\",outline:\"#ffffff33 1px solid\",margin:[-c/8+1,0,0,-1].join(\"px \")+\"px\",padding:\"0\",\"box-sizing\":\"border-box\"}).attr({contenteditable:!0}).text(u).call(L(t,i,e)).on(\"blur\",(function(){r._editing=!1,t.text(this.textContent).style({opacity:1});var e,i=n.select(this).attr(\"class\");(e=i?\".\"+i.split(\" \")[0]+\"-math-group\":\"[class*=-math-group]\")&&n.select(t.node().parentNode).select(e).style({opacity:0});var o=this.textContent;n.select(this).transition().duration(0).remove(),n.select(document).on(\"mouseup\",null),a.edit.call(t,o)})).on(\"focus\",(function(){var t=this;r._editing=!0,n.select(document).on(\"mouseup\",(function(){if(n.event.target===t)return!1;document.activeElement===o.node()&&o.node().blur()}))})).on(\"keyup\",(function(){27===n.event.which?(r._editing=!1,t.style({opacity:1}),n.select(this).style({opacity:0}).on(\"blur\",(function(){return!1})).transition().remove(),a.cancel.call(t,this.textContent)):(a.input.call(t,this.textContent),n.select(this).call(L(t,i,e)))})).on(\"keydown\",(function(){13===n.event.which&&this.blur()})).call(l)}(),t.style({opacity:0});var i,s=o.attr(\"class\");(i=s?\".\"+s.split(\" \")[0]+\"-math-group\":\"[class*=-math-group]\")&&n.select(t.node().parentNode).select(i).style({opacity:0})}function l(t){var e=t.node(),r=document.createRange();r.selectNodeContents(e);var n=window.getSelection();n.removeAllRanges(),n.addRange(r),e.focus()}return e.immediate?s():o.on(\"click\",s),n.rebind(t,a,\"on\")}},{\"../constants/alignment\":767,\"../constants/xmlns_namespaces\":776,\"../lib\":799,\"@plotly/d3\":58}],825:[function(t,e,r){\"use strict\";var n={};function i(t){t&&null!==t.timer&&(clearTimeout(t.timer),t.timer=null)}r.throttle=function(t,e,r){var a=n[t],o=Date.now();if(!a){for(var s in n)n[s].ts<o-6e4&&delete n[s];a=n[t]={ts:0,timer:null}}function l(){r(),a.ts=Date.now(),a.onDone&&(a.onDone(),a.onDone=null)}i(a),o>a.ts+e?l():a.timer=setTimeout((function(){l(),a.timer=null}),e)},r.done=function(t){var e=n[t];return e&&e.timer?new Promise((function(t){var r=e.onDone;e.onDone=function(){r&&r(),t(),e.onDone=null}})):Promise.resolve()},r.clear=function(t){if(t)i(n[t]),delete n[t];else for(var e in n)r.clear(e)}},{}],826:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\");e.exports=function(t,e){if(t>0)return Math.log(t)/Math.LN10;var r=Math.log(Math.min(e[0],e[1]))/Math.LN10;return n(r)||(r=Math.log(Math.max(e[0],e[1]))/Math.LN10-6),r}},{\"fast-isnumeric\":245}],827:[function(t,e,r){\"use strict\";var n=e.exports={},i=t(\"../plots/geo/constants\").locationmodeToLayer,a=t(\"topojson-client\").feature;n.getTopojsonName=function(t){return[t.scope.replace(/ /g,\"-\"),\"_\",t.resolution.toString(),\"m\"].join(\"\")},n.getTopojsonPath=function(t,e){return t+e+\".json\"},n.getTopojsonFeatures=function(t,e){var r=i[t.locationmode],n=e.objects[r];return a(e,n).features}},{\"../plots/geo/constants\":880,\"topojson-client\":597}],828:[function(t,e,r){\"use strict\";e.exports={moduleType:\"locale\",name:\"en-US\",dictionary:{\"Click to enter Colorscale title\":\"Click to enter Colorscale title\"},format:{date:\"%m/%d/%Y\"}}},{}],829:[function(t,e,r){\"use strict\";e.exports={moduleType:\"locale\",name:\"en\",dictionary:{\"Click to enter Colorscale title\":\"Click to enter Colourscale title\"},format:{days:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],shortDays:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],months:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],shortMonths:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],periods:[\"AM\",\"PM\"],dateTime:\"%a %b %e %X %Y\",date:\"%d/%m/%Y\",time:\"%H:%M:%S\",decimal:\".\",thousands:\",\",grouping:[3],currency:[\"$\",\"\"],year:\"%Y\",month:\"%b %Y\",dayMonth:\"%b %-d\",dayMonthYear:\"%b %-d, %Y\"}}},{}],830:[function(t,e,r){\"use strict\";var n=t(\"../registry\");e.exports=function(t){for(var e,r,i=n.layoutArrayContainers,a=n.layoutArrayRegexes,o=t.split(\"[\")[0],s=0;s<a.length;s++)if((r=t.match(a[s]))&&0===r.index){e=r[0];break}if(e||(e=i[i.indexOf(o)]),!e)return!1;var l=t.substr(e.length);return l?!!(r=l.match(/^\\[(0|[1-9][0-9]*)\\](\\.(.+))?$/))&&{array:e,index:Number(r[1]),property:r[3]||\"\"}:{array:e,index:\"\",property:\"\"}}},{\"../registry\":927}],831:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=n.extendFlat,a=n.isPlainObject,o={valType:\"flaglist\",extras:[\"none\"],flags:[\"calc\",\"clearAxisTypes\",\"plot\",\"style\",\"markerSize\",\"colorbars\"]},s={valType:\"flaglist\",extras:[\"none\"],flags:[\"calc\",\"plot\",\"legend\",\"ticks\",\"axrange\",\"layoutstyle\",\"modebar\",\"camera\",\"arraydraw\",\"colorbars\"]},l=o.flags.slice().concat([\"fullReplot\"]),c=s.flags.slice().concat(\"layoutReplot\");function u(t){for(var e={},r=0;r<t.length;r++)e[t[r]]=!1;return e}function f(t,e,r){var n=i({},t);for(var o in n){var s=n[o];a(s)&&(n[o]=h(s,e,r,o))}return\"from-root\"===r&&(n.editType=e),n}function h(t,e,r,n){if(t.valType){var a=i({},t);if(a.editType=e,Array.isArray(t.items)){a.items=new Array(t.items.length);for(var o=0;o<t.items.length;o++)a.items[o]=h(t.items[o],e,\"from-root\")}return a}return f(t,e,\"_\"===n.charAt(0)?\"nested\":\"from-root\")}e.exports={traces:o,layout:s,traceFlags:function(){return u(l)},layoutFlags:function(){return u(c)},update:function(t,e){var r=e.editType;if(r&&\"none\"!==r)for(var n=r.split(\"+\"),i=0;i<n.length;i++)t[n[i]]=!0},overrideAll:f}},{\"../lib\":799}],832:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"gl-mat4/fromQuat\"),a=t(\"../registry\"),o=t(\"../lib\"),s=t(\"../plots/plots\"),l=t(\"../plots/cartesian/axis_ids\"),c=t(\"../components/color\"),u=l.cleanId,f=l.getFromTrace,h=a.traceIs;function p(t,e){var r=t[e],n=e.charAt(0);r&&\"paper\"!==r&&(t[e]=u(r,n,!0))}function d(t){function e(e,r){var n=t[e],i=t.title&&t.title[r];n&&!i&&(t.title||(t.title={}),t.title[r]=t[e],delete t[e])}t&&(\"string\"!=typeof t.title&&\"number\"!=typeof t.title||(t.title={text:t.title}),e(\"titlefont\",\"font\"),e(\"titleposition\",\"position\"),e(\"titleside\",\"side\"),e(\"titleoffset\",\"offset\"))}function m(t){if(!o.isPlainObject(t))return!1;var e=t.name;return delete t.name,delete t.showlegend,(\"string\"==typeof e||\"number\"==typeof e)&&String(e)}function g(t,e,r,n){if(r&&!n)return t;if(n&&!r)return e;if(!t.trim())return e;if(!e.trim())return t;var i,a=Math.min(t.length,e.length);for(i=0;i<a&&t.charAt(i)===e.charAt(i);i++);return t.substr(0,i).trim()}function v(t){var e=\"middle\",r=\"center\";return\"string\"==typeof t&&(-1!==t.indexOf(\"top\")?e=\"top\":-1!==t.indexOf(\"bottom\")&&(e=\"bottom\"),-1!==t.indexOf(\"left\")?r=\"left\":-1!==t.indexOf(\"right\")&&(r=\"right\")),e+\" \"+r}function y(t,e){return e in t&&\"object\"==typeof t[e]&&0===Object.keys(t[e]).length}r.clearPromiseQueue=function(t){Array.isArray(t._promises)&&t._promises.length>0&&o.log(\"Clearing previous rejected promises from queue.\"),t._promises=[]},r.cleanLayout=function(t){var e,n;t||(t={}),t.xaxis1&&(t.xaxis||(t.xaxis=t.xaxis1),delete t.xaxis1),t.yaxis1&&(t.yaxis||(t.yaxis=t.yaxis1),delete t.yaxis1),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var a=(s.subplotsRegistry.cartesian||{}).attrRegex,l=(s.subplotsRegistry.polar||{}).attrRegex,f=(s.subplotsRegistry.ternary||{}).attrRegex,h=(s.subplotsRegistry.gl3d||{}).attrRegex,m=Object.keys(t);for(e=0;e<m.length;e++){var g=m[e];if(a&&a.test(g)){var v=t[g];v.anchor&&\"free\"!==v.anchor&&(v.anchor=u(v.anchor)),v.overlaying&&(v.overlaying=u(v.overlaying)),v.type||(v.isdate?v.type=\"date\":v.islog?v.type=\"log\":!1===v.isdate&&!1===v.islog&&(v.type=\"linear\")),\"withzero\"!==v.autorange&&\"tozero\"!==v.autorange||(v.autorange=!0,v.rangemode=\"tozero\"),delete v.islog,delete v.isdate,delete v.categories,y(v,\"domain\")&&delete v.domain,void 0!==v.autotick&&(void 0===v.tickmode&&(v.tickmode=v.autotick?\"auto\":\"linear\"),delete v.autotick),d(v)}else if(l&&l.test(g)){d(t[g].radialaxis)}else if(f&&f.test(g)){var x=t[g];d(x.aaxis),d(x.baxis),d(x.caxis)}else if(h&&h.test(g)){var b=t[g],_=b.cameraposition;if(Array.isArray(_)&&4===_[0].length){var w=_[0],T=_[1],k=_[2],M=i([],w),A=[];for(n=0;n<3;++n)A[n]=T[n]+k*M[2+4*n];b.camera={eye:{x:A[0],y:A[1],z:A[2]},center:{x:T[0],y:T[1],z:T[2]},up:{x:0,y:0,z:1}},delete b.cameraposition}d(b.xaxis),d(b.yaxis),d(b.zaxis)}}var S=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<S;e++){var E=t.annotations[e];o.isPlainObject(E)&&(E.ref&&(\"paper\"===E.ref?(E.xref=\"paper\",E.yref=\"paper\"):\"data\"===E.ref&&(E.xref=\"x\",E.yref=\"y\"),delete E.ref),p(E,\"xref\"),p(E,\"yref\"))}var L=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<L;e++){var C=t.shapes[e];o.isPlainObject(C)&&(p(C,\"xref\"),p(C,\"yref\"))}var P=Array.isArray(t.images)?t.images.length:0;for(e=0;e<P;e++){var I=t.images[e];o.isPlainObject(I)&&(p(I,\"xref\"),p(I,\"yref\"))}var O=t.legend;return O&&(O.x>3?(O.x=1.02,O.xanchor=\"left\"):O.x<-2&&(O.x=-.02,O.xanchor=\"right\"),O.y>3?(O.y=1.02,O.yanchor=\"bottom\"):O.y<-2&&(O.y=-.02,O.yanchor=\"top\")),d(t),\"rotate\"===t.dragmode&&(t.dragmode=\"orbit\"),c.clean(t),t.template&&t.template.layout&&r.cleanLayout(t.template.layout),t},r.cleanData=function(t){for(var e=0;e<t.length;e++){var n,i=t[e];if(\"histogramy\"===i.type&&\"xbins\"in i&&!(\"ybins\"in i)&&(i.ybins=i.xbins,delete i.xbins),i.error_y&&\"opacity\"in i.error_y){var l=c.defaults,f=i.error_y.color||(h(i,\"bar\")?c.defaultLine:l[e%l.length]);i.error_y.color=c.addOpacity(c.rgb(f),c.opacity(f)*i.error_y.opacity),delete i.error_y.opacity}if(\"bardir\"in i&&(\"h\"!==i.bardir||!h(i,\"bar\")&&\"histogram\"!==i.type.substr(0,9)||(i.orientation=\"h\",r.swapXYData(i)),delete i.bardir),\"histogramy\"===i.type&&r.swapXYData(i),\"histogramx\"!==i.type&&\"histogramy\"!==i.type||(i.type=\"histogram\"),\"scl\"in i&&!(\"colorscale\"in i)&&(i.colorscale=i.scl,delete i.scl),\"reversescl\"in i&&!(\"reversescale\"in i)&&(i.reversescale=i.reversescl,delete i.reversescl),i.xaxis&&(i.xaxis=u(i.xaxis,\"x\")),i.yaxis&&(i.yaxis=u(i.yaxis,\"y\")),h(i,\"gl3d\")&&i.scene&&(i.scene=s.subplotsRegistry.gl3d.cleanId(i.scene)),!h(i,\"pie-like\")&&!h(i,\"bar-like\"))if(Array.isArray(i.textposition))for(n=0;n<i.textposition.length;n++)i.textposition[n]=v(i.textposition[n]);else i.textposition&&(i.textposition=v(i.textposition));var p=a.getModule(i);if(p&&p.colorbar){var x=p.colorbar.container,b=x?i[x]:i;b&&b.colorscale&&(\"YIGnBu\"===b.colorscale&&(b.colorscale=\"YlGnBu\"),\"YIOrRd\"===b.colorscale&&(b.colorscale=\"YlOrRd\"))}if(\"surface\"===i.type&&o.isPlainObject(i.contours)){var _=[\"x\",\"y\",\"z\"];for(n=0;n<_.length;n++){var w=i.contours[_[n]];o.isPlainObject(w)&&(w.highlightColor&&(w.highlightcolor=w.highlightColor,delete w.highlightColor),w.highlightWidth&&(w.highlightwidth=w.highlightWidth,delete w.highlightWidth))}}if(\"candlestick\"===i.type||\"ohlc\"===i.type){var T=!1!==(i.increasing||{}).showlegend,k=!1!==(i.decreasing||{}).showlegend,M=m(i.increasing),A=m(i.decreasing);if(!1!==M&&!1!==A){var S=g(M,A,T,k);S&&(i.name=S)}else!M&&!A||i.name||(i.name=M||A)}if(Array.isArray(i.transforms)){var E=i.transforms;for(n=0;n<E.length;n++){var L=E[n];if(o.isPlainObject(L))switch(L.type){case\"filter\":L.filtersrc&&(L.target=L.filtersrc,delete L.filtersrc),L.calendar&&(L.valuecalendar||(L.valuecalendar=L.calendar),delete L.calendar);break;case\"groupby\":if(L.styles=L.styles||L.style,L.styles&&!Array.isArray(L.styles)){var C=L.styles,P=Object.keys(C);L.styles=[];for(var I=0;I<P.length;I++)L.styles.push({target:P[I],value:C[P[I]]})}}}}y(i,\"line\")&&delete i.line,\"marker\"in i&&(y(i.marker,\"line\")&&delete i.marker.line,y(i,\"marker\")&&delete i.marker),c.clean(i),i.autobinx&&(delete i.autobinx,delete i.xbins),i.autobiny&&(delete i.autobiny,delete i.ybins),d(i),i.colorbar&&d(i.colorbar),i.marker&&i.marker.colorbar&&d(i.marker.colorbar),i.line&&i.line.colorbar&&d(i.line.colorbar),i.aaxis&&d(i.aaxis),i.baxis&&d(i.baxis)}},r.swapXYData=function(t){var e;if(o.swapAttrs(t,[\"?\",\"?0\",\"d?\",\"?bins\",\"nbins?\",\"autobin?\",\"?src\",\"error_?\"]),Array.isArray(t.z)&&Array.isArray(t.z[0])&&(t.transpose?delete t.transpose:t.transpose=!0),t.error_x&&t.error_y){var r=t.error_y,n=\"copy_ystyle\"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);o.swapAttrs(t,[\"error_?.copy_ystyle\"]),n&&o.swapAttrs(t,[\"error_?.color\",\"error_?.thickness\",\"error_?.width\"])}if(\"string\"==typeof t.hoverinfo){var i=t.hoverinfo.split(\"+\");for(e=0;e<i.length;e++)\"x\"===i[e]?i[e]=\"y\":\"y\"===i[e]&&(i[e]=\"x\");t.hoverinfo=i.join(\"+\")}},r.coerceTraceIndices=function(t,e){if(n(e))return[e];if(!Array.isArray(e)||!e.length)return t.data.map((function(t,e){return e}));if(Array.isArray(e)){for(var r=[],i=0;i<e.length;i++)o.isIndex(e[i],t.data.length)?r.push(e[i]):o.warn(\"trace index (\",e[i],\") is not a number or is out of bounds\");return r}return e},r.manageArrayContainers=function(t,e,r){var i=t.obj,a=t.parts,s=a.length,l=a[s-1],c=n(l);if(c&&null===e){var u=a.slice(0,s-1).join(\".\");o.nestedProperty(i,u).get().splice(l,1)}else c&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var x=/(\\.[^\\[\\]\\.]+|\\[[^\\[\\]\\.]+\\])$/;function b(t){var e=t.search(x);if(e>0)return t.substr(0,e)}r.hasParent=function(t,e){for(var r=b(e);r;){if(r in t)return!0;r=b(r)}return!1};var _=[\"x\",\"y\",\"z\"];r.clearAxisTypes=function(t,e,r){for(var n=0;n<e.length;n++)for(var i=t._fullData[n],a=0;a<3;a++){var s=f(t,i,_[a]);if(s&&\"log\"!==s.type){var l=s._name,c=s._id.substr(1);if(\"scene\"===c.substr(0,5)){if(void 0!==r[c])continue;l=c+\".\"+l}var u=l+\".type\";void 0===r[l]&&void 0===r[u]&&o.nestedProperty(t.layout,u).set(null)}}}},{\"../components/color\":662,\"../lib\":799,\"../plots/cartesian/axis_ids\":853,\"../plots/plots\":913,\"../registry\":927,\"fast-isnumeric\":245,\"gl-mat4/fromQuat\":284}],833:[function(t,e,r){\"use strict\";var n=t(\"./plot_api\");r._doPlot=n._doPlot,r.newPlot=n.newPlot,r.restyle=n.restyle,r.relayout=n.relayout,r.redraw=n.redraw,r.update=n.update,r._guiRestyle=n._guiRestyle,r._guiRelayout=n._guiRelayout,r._guiUpdate=n._guiUpdate,r._storeDirectGUIEdit=n._storeDirectGUIEdit,r.react=n.react,r.extendTraces=n.extendTraces,r.prependTraces=n.prependTraces,r.addTraces=n.addTraces,r.deleteTraces=n.deleteTraces,r.moveTraces=n.moveTraces,r.purge=n.purge,r.addFrames=n.addFrames,r.deleteFrames=n.deleteFrames,r.animate=n.animate,r.setPlotConfig=n.setPlotConfig,r.toImage=t(\"./to_image\"),r.validate=t(\"./validate\"),r.downloadImage=t(\"../snapshot/download\");var i=t(\"./template_api\");r.makeTemplate=i.makeTemplate,r.validateTemplate=i.validateTemplate},{\"../snapshot/download\":929,\"./plot_api\":835,\"./template_api\":840,\"./to_image\":841,\"./validate\":842}],834:[function(t,e,r){\"use strict\";var n=t(\"../lib/is_plain_object\"),i=t(\"../lib/noop\"),a=t(\"../lib/loggers\"),o=t(\"../lib/search\").sorterAsc,s=t(\"../registry\");r.containerArrayMatch=t(\"./container_array_match\");var l=r.isAddVal=function(t){return\"add\"===t||n(t)},c=r.isRemoveVal=function(t){return null===t||\"remove\"===t};r.applyContainerArrayChanges=function(t,e,r,n,u){var f=e.astr,h=s.getComponentMethod(f,\"supplyLayoutDefaults\"),p=s.getComponentMethod(f,\"draw\"),d=s.getComponentMethod(f,\"drawOne\"),m=n.replot||n.recalc||h===i||p===i,g=t.layout,v=t._fullLayout;if(r[\"\"]){Object.keys(r).length>1&&a.warn(\"Full array edits are incompatible with other edits\",f);var y=r[\"\"][\"\"];if(c(y))e.set(null);else{if(!Array.isArray(y))return a.warn(\"Unrecognized full array edit value\",f,y),!0;e.set(y)}return!m&&(h(g,v),p(t),!0)}var x,b,_,w,T,k,M,A,S=Object.keys(r).map(Number).sort(o),E=e.get(),L=E||[],C=u(v,f).get(),P=[],I=-1,O=L.length;for(x=0;x<S.length;x++)if(w=r[_=S[x]],T=Object.keys(w),k=w[\"\"],M=l(k),_<0||_>L.length-(M?0:1))a.warn(\"index out of range\",f,_);else if(void 0!==k)T.length>1&&a.warn(\"Insertion & removal are incompatible with edits to the same index.\",f,_),c(k)?P.push(_):M?(\"add\"===k&&(k={}),L.splice(_,0,k),C&&C.splice(_,0,{})):a.warn(\"Unrecognized full object edit value\",f,_,k),-1===I&&(I=_);else for(b=0;b<T.length;b++)A=f+\"[\"+_+\"].\",u(L[_],T[b],A).set(w[T[b]]);for(x=P.length-1;x>=0;x--)L.splice(P[x],1),C&&C.splice(P[x],1);if(L.length?E||e.set(L):e.set(null),m)return!1;if(h(g,v),d!==i){var z;if(-1===I)z=S;else{for(O=Math.max(L.length,O),z=[],x=0;x<S.length&&!((_=S[x])>=I);x++)z.push(_);for(x=I;x<O;x++)z.push(x)}for(x=0;x<z.length;x++)d(t,z[x])}else p(t);return!0}},{\"../lib/is_plain_object\":800,\"../lib/loggers\":803,\"../lib/noop\":808,\"../lib/search\":819,\"../registry\":927,\"./container_array_match\":830}],835:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"has-hover\"),o=t(\"../lib\"),s=o.nestedProperty,l=t(\"../lib/events\"),c=t(\"../lib/queue\"),u=t(\"../registry\"),f=t(\"./plot_schema\"),h=t(\"../plots/plots\"),p=t(\"../plots/cartesian/axes\"),d=t(\"../components/drawing\"),m=t(\"../components/color\"),g=t(\"../plots/cartesian/graph_interact\").initInteractions,v=t(\"../constants/xmlns_namespaces\"),y=t(\"../plots/cartesian/select\").clearSelect,x=t(\"./plot_config\").dfltConfig,b=t(\"./manage_arrays\"),_=t(\"./helpers\"),w=t(\"./subroutines\"),T=t(\"./edit_types\"),k=t(\"../plots/cartesian/constants\").AX_NAME_PATTERN,M=0;function A(t){var e=t._fullLayout;e._redrawFromAutoMarginCount?e._redrawFromAutoMarginCount--:t.emit(\"plotly_afterplot\")}function S(t,e){try{t._fullLayout._paper.style(\"background\",e)}catch(t){o.error(t)}}function E(t,e){S(t,m.combine(e,\"white\"))}function L(t,e){if(!t._context){t._context=o.extendDeep({},x);var r=n.select(\"base\");t._context._baseUrl=r.size()&&r.attr(\"href\")?window.location.href.split(\"#\")[0]:\"\"}var i,s,l,c=t._context;if(e){for(s=Object.keys(e),i=0;i<s.length;i++)\"editable\"!==(l=s[i])&&\"edits\"!==l&&l in c&&(\"setBackground\"===l&&\"opaque\"===e[l]?c[l]=E:c[l]=e[l]);e.plot3dPixelRatio&&!c.plotGlPixelRatio&&(c.plotGlPixelRatio=c.plot3dPixelRatio);var u=e.editable;if(void 0!==u)for(c.editable=u,s=Object.keys(c.edits),i=0;i<s.length;i++)c.edits[s[i]]=u;if(e.edits)for(s=Object.keys(e.edits),i=0;i<s.length;i++)(l=s[i])in c.edits&&(c.edits[l]=e.edits[l]);c._exportedPlot=e._exportedPlot}c.staticPlot&&(c.editable=!1,c.edits={},c.autosizable=!1,c.scrollZoom=!1,c.doubleClick=!1,c.showTips=!1,c.showLink=!1,c.displayModeBar=!1),\"hover\"!==c.displayModeBar||a||(c.displayModeBar=!0),\"transparent\"!==c.setBackground&&\"function\"==typeof c.setBackground||(c.setBackground=S),c._hasZeroHeight=c._hasZeroHeight||0===t.clientHeight,c._hasZeroWidth=c._hasZeroWidth||0===t.clientWidth;var f=c.scrollZoom,h=c._scrollZoom={};if(!0===f)h.cartesian=1,h.gl3d=1,h.geo=1,h.mapbox=1;else if(\"string\"==typeof f){var p=f.split(\"+\");for(i=0;i<p.length;i++)h[p[i]]=1}else!1!==f&&(h.gl3d=1,h.geo=1,h.mapbox=1)}function C(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)(n=t[r])<0?a.push(i+n):a.push(n);return a}function P(t,e,r){var n,i;for(n=0;n<e.length;n++){if((i=e[n])!==parseInt(i,10))throw new Error(\"all values in \"+r+\" must be integers\");if(i>=t.data.length||i<-t.data.length)throw new Error(r+\" must be valid indices for gd.data.\");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||i<0&&e.indexOf(t.data.length+i)>-1)throw new Error(\"each index in \"+r+\" must be unique.\")}}function I(t,e,r){if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"currentIndices is a required argument.\");if(Array.isArray(e)||(e=[e]),P(t,e,\"currentIndices\"),void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&P(t,r,\"newIndices\"),void 0!==r&&e.length!==r.length)throw new Error(\"current and new indices must be of equal length.\")}function O(t,e,r,n,a){!function(t,e,r,n){var i=o.isPlainObject(n);if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array\");if(!o.isPlainObject(e))throw new Error(\"update must be a key:value object\");if(void 0===r)throw new Error(\"indices must be an integer or array of integers\");for(var a in P(t,r,\"indices\"),e){if(!Array.isArray(e[a])||e[a].length!==r.length)throw new Error(\"attribute \"+a+\" must be an array of length equal to indices array length\");if(i&&(!(a in n)||!Array.isArray(n[a])||n[a].length!==e[a].length))throw new Error(\"when maxPoints is set as a key:value object it must contain a 1:1 corrispondence with the keys and number of traces in the update object\")}}(t,e,r,n);for(var l=function(t,e,r,n){var a,l,c,u,f,h=o.isPlainObject(n),p=[];for(var d in Array.isArray(r)||(r=[r]),r=C(r,t.data.length-1),e)for(var m=0;m<r.length;m++){if(a=t.data[r[m]],l=(c=s(a,d)).get(),u=e[d][m],!o.isArrayOrTypedArray(u))throw new Error(\"attribute: \"+d+\" index: \"+m+\" must be an array\");if(!o.isArrayOrTypedArray(l))throw new Error(\"cannot extend missing or non-array attribute: \"+d);if(l.constructor!==u.constructor)throw new Error(\"cannot extend array with an array of a different type: \"+d);f=h?n[d][m]:n,i(f)||(f=-1),p.push({prop:c,target:l,insert:u,maxp:Math.floor(f)})}return p}(t,e,r,n),c={},u={},f=0;f<l.length;f++){var h=l[f].prop,p=l[f].maxp,d=a(l[f].target,l[f].insert,p);h.set(d[0]),Array.isArray(c[h.astr])||(c[h.astr]=[]),c[h.astr].push(d[1]),Array.isArray(u[h.astr])||(u[h.astr]=[]),u[h.astr].push(l[f].target.length)}return{update:c,maxPoints:u}}function z(t,e){var r=new t.constructor(t.length+e.length);return r.set(t),r.set(e,t.length),r}function D(t,e,n,i){t=o.getGraphDiv(t),_.clearPromiseQueue(t);var a={};if(\"string\"==typeof e)a[e]=n;else{if(!o.isPlainObject(e))return o.warn(\"Restyle fail.\",e,n,i),Promise.reject();a=o.extendFlat({},e),void 0===i&&(i=n)}Object.keys(a).length&&(t.changed=!0);var s=_.coerceTraceIndices(t,i),l=N(t,a,s),u=l.flags;u.calc&&(t.calcdata=void 0),u.clearAxisTypes&&_.clearAxisTypes(t,s,{});var f=[];u.fullReplot?f.push(r._doPlot):(f.push(h.previousPromises),h.supplyDefaults(t),u.markerSize&&(h.doCalcdata(t),q(f)),u.style&&f.push(w.doTraceStyle),u.colorbars&&f.push(w.doColorBars),f.push(A)),f.push(h.rehover,h.redrag),c.add(t,D,[t,l.undoit,l.traces],D,[t,l.redoit,l.traces]);var p=o.syncOrAsync(f,t);return p&&p.then||(p=Promise.resolve()),p.then((function(){return t.emit(\"plotly_restyle\",l.eventData),t}))}function R(t){return void 0===t?null:t}function F(t,e){return e?function(e,r,n){var i=s(e,r),a=i.set;return i.set=function(e){B((n||\"\")+r,i.get(),e,t),a(e)},i}:s}function B(t,e,r,n){if(Array.isArray(e)||Array.isArray(r))for(var i=Array.isArray(e)?e:[],a=Array.isArray(r)?r:[],s=Math.max(i.length,a.length),l=0;l<s;l++)B(t+\"[\"+l+\"]\",i[l],a[l],n);else if(o.isPlainObject(e)||o.isPlainObject(r)){var c=o.isPlainObject(e)?e:{},u=o.isPlainObject(r)?r:{},f=o.extendFlat({},c,u);for(var h in f)B(t+\".\"+h,c[h],u[h],n)}else void 0===n[t]&&(n[t]=R(e))}function N(t,e,r){var n,i=t._fullLayout,a=t._fullData,l=t.data,c=i._guiEditing,d=F(i._preGUI,c),m=o.extendDeepAll({},e);j(e);var g,v=T.traceFlags(),y={},x={};function b(){return r.map((function(){}))}function w(t){var e=p.id2name(t);-1===g.indexOf(e)&&g.push(e)}function k(t){return\"LAYOUT\"+t+\".autorange\"}function M(t){return\"LAYOUT\"+t+\".range\"}function A(t){for(var e=t;e<a.length;e++)if(a[e]._input===l[t])return a[e]}function S(n,a,o){if(Array.isArray(n))n.forEach((function(t){S(t,a,o)}));else if(!(n in e)&&!_.hasParent(e,n)){var s;if(\"LAYOUT\"===n.substr(0,6))s=d(t.layout,n.replace(\"LAYOUT\",\"\"));else{var u=r[o];s=F(i._tracePreGUI[A(u)._fullInput.uid],c)(l[u],n)}n in x||(x[n]=b()),void 0===x[n][o]&&(x[n][o]=R(s.get())),void 0!==a&&s.set(a)}}function E(t){return function(e){return a[e][t]}}function L(t){return function(e,n){return!1===e?a[r[n]][t]:null}}for(var C in e){if(_.hasParent(e,C))throw new Error(\"cannot set \"+C+\" and a parent attribute simultaneously\");var P,I,O,z,D,B,N=e[C];if(\"autobinx\"!==C&&\"autobiny\"!==C||(C=C.charAt(C.length-1)+\"bins\",N=Array.isArray(N)?N.map(L(C)):!1===N?r.map(E(C)):null),y[C]=N,\"LAYOUT\"!==C.substr(0,6)){for(x[C]=b(),n=0;n<r.length;n++){if(P=l[r[n]],I=A(r[n]),z=(O=F(i._tracePreGUI[I._fullInput.uid],c)(P,C)).get(),void 0!==(D=Array.isArray(N)?N[n%N.length]:N)){var U=O.parts[O.parts.length-1],V=C.substr(0,C.length-U.length-1),q=V?V+\".\":\"\",H=V?s(I,V).get():I;if((B=f.getTraceValObject(I,O.parts))&&B.impliedEdits&&null!==D)for(var G in B.impliedEdits)S(o.relativeAttr(C,G),B.impliedEdits[G],n);else if(\"thicknessmode\"!==U&&\"lenmode\"!==U||z===D||\"fraction\"!==D&&\"pixels\"!==D||!H){if(\"type\"===C&&(\"pie\"===D!=(\"pie\"===z)||\"funnelarea\"===D!=(\"funnelarea\"===z))){var Y=\"x\",W=\"y\";\"bar\"!==D&&\"bar\"!==z||\"h\"!==P.orientation||(Y=\"y\",W=\"x\"),o.swapAttrs(P,[\"?\",\"?src\"],\"labels\",Y),o.swapAttrs(P,[\"d?\",\"?0\"],\"label\",Y),o.swapAttrs(P,[\"?\",\"?src\"],\"values\",W),\"pie\"===z||\"funnelarea\"===z?(s(P,\"marker.color\").set(s(P,\"marker.colors\").get()),i._pielayer.selectAll(\"g.trace\").remove()):u.traceIs(P,\"cartesian\")&&s(P,\"marker.colors\").set(s(P,\"marker.color\").get())}}else{var X=i._size,Z=H.orient,J=\"top\"===Z||\"bottom\"===Z;if(\"thicknessmode\"===U){var K=J?X.h:X.w;S(q+\"thickness\",H.thickness*(\"fraction\"===D?1/K:K),n)}else{var Q=J?X.w:X.h;S(q+\"len\",H.len*(\"fraction\"===D?1/Q:Q),n)}}x[C][n]=R(z);if(-1!==[\"swapxy\",\"swapxyaxes\",\"orientation\",\"orientationaxes\"].indexOf(C)){if(\"orientation\"===C){O.set(D);var $=P.x&&!P.y?\"h\":\"v\";if((O.get()||$)===I.orientation)continue}else\"orientationaxes\"===C&&(P.orientation={v:\"h\",h:\"v\"}[I.orientation]);_.swapXYData(P),v.calc=v.clearAxisTypes=!0}else-1!==h.dataArrayContainers.indexOf(O.parts[0])?(_.manageArrayContainers(O,D,x),v.calc=!0):(B?B.arrayOk&&!u.traceIs(I,\"regl\")&&(o.isArrayOrTypedArray(D)||o.isArrayOrTypedArray(z))?v.calc=!0:T.update(v,B):v.calc=!0,O.set(D))}}if(-1!==[\"swapxyaxes\",\"orientationaxes\"].indexOf(C)&&p.swap(t,r),\"orientationaxes\"===C){var tt=s(t.layout,\"hovermode\"),et=tt.get();\"x\"===et?tt.set(\"y\"):\"y\"===et?tt.set(\"x\"):\"x unified\"===et?tt.set(\"y unified\"):\"y unified\"===et&&tt.set(\"x unified\")}if(-1!==[\"orientation\",\"type\"].indexOf(C)){for(g=[],n=0;n<r.length;n++){var rt=l[r[n]];u.traceIs(rt,\"cartesian\")&&(w(rt.xaxis||\"x\"),w(rt.yaxis||\"y\"))}S(g.map(k),!0,0),S(g.map(M),[0,1],0)}}else O=d(t.layout,C.replace(\"LAYOUT\",\"\")),x[C]=[R(O.get())],O.set(Array.isArray(N)?N[0]:N),v.calc=!0}return(v.calc||v.plot)&&(v.fullReplot=!0),{flags:v,undoit:x,redoit:y,traces:r,eventData:o.extendDeepNoArrays([],[m,r])}}function j(t){var e,r,n,i=o.counterRegex(\"axis\",\".title\",!1,!1),a=/colorbar\\.title$/,s=Object.keys(t);for(e=0;e<s.length;e++)r=s[e],n=t[r],\"title\"!==r&&!i.test(r)&&!a.test(r)||\"string\"!=typeof n&&\"number\"!=typeof n?r.indexOf(\"titlefont\")>-1?l(r,r.replace(\"titlefont\",\"title.font\")):r.indexOf(\"titleposition\")>-1?l(r,r.replace(\"titleposition\",\"title.position\")):r.indexOf(\"titleside\")>-1?l(r,r.replace(\"titleside\",\"title.side\")):r.indexOf(\"titleoffset\")>-1&&l(r,r.replace(\"titleoffset\",\"title.offset\")):l(r,r.replace(\"title\",\"title.text\"));function l(e,r){t[r]=t[e],delete t[e]}}function U(t,e,r){t=o.getGraphDiv(t),_.clearPromiseQueue(t);var n={};if(\"string\"==typeof e)n[e]=r;else{if(!o.isPlainObject(e))return o.warn(\"Relayout fail.\",e,r),Promise.reject();n=o.extendFlat({},e)}Object.keys(n).length&&(t.changed=!0);var i=W(t,n),a=i.flags;a.calc&&(t.calcdata=void 0);var s=[h.previousPromises];a.layoutReplot?s.push(w.layoutReplot):Object.keys(n).length&&(V(t,a,i)||h.supplyDefaults(t),a.legend&&s.push(w.doLegend),a.layoutstyle&&s.push(w.layoutStyles),a.axrange&&q(s,i.rangesAltered),a.ticks&&s.push(w.doTicksRelayout),a.modebar&&s.push(w.doModeBar),a.camera&&s.push(w.doCamera),a.colorbars&&s.push(w.doColorBars),s.push(A)),s.push(h.rehover,h.redrag),c.add(t,U,[t,i.undoit],U,[t,i.redoit]);var l=o.syncOrAsync(s,t);return l&&l.then||(l=Promise.resolve(t)),l.then((function(){return t.emit(\"plotly_relayout\",i.eventData),t}))}function V(t,e,r){var n=t._fullLayout;if(!e.axrange)return!1;for(var i in e)if(\"axrange\"!==i&&e[i])return!1;for(var a in r.rangesAltered){var o=p.id2name(a),s=t.layout[o],l=n[o];if(l.autorange=s.autorange,s.range&&(l.range=s.range.slice()),l.cleanRange(),l._matchGroup)for(var c in l._matchGroup)if(c!==a){var u=n[p.id2name(c)];u.autorange=l.autorange,u.range=l.range.slice(),u._input.range=l.range.slice()}}return!0}function q(t,e){var r=e?function(t){var r=[],n=!0;for(var i in e){var a=p.getFromId(t,i);if(r.push(i),-1!==(a.ticklabelposition||\"\").indexOf(\"inside\")&&a._anchorAxis&&r.push(a._anchorAxis._id),a._matchGroup)for(var o in a._matchGroup)e[o]||r.push(o);a.automargin&&(n=!1)}return p.draw(t,r,{skipTitle:n})}:function(t){return p.draw(t,\"redraw\")};t.push(y,w.doAutoRangeAndConstraints,r,w.drawData,w.finalDraw)}var H=/^[xyz]axis[0-9]*\\.range(\\[[0|1]\\])?$/,G=/^[xyz]axis[0-9]*\\.autorange$/,Y=/^[xyz]axis[0-9]*\\.domain(\\[[0|1]\\])?$/;function W(t,e){var r,n,i,a=t.layout,l=t._fullLayout,c=l._guiEditing,h=F(l._preGUI,c),d=Object.keys(e),m=p.list(t),g=o.extendDeepAll({},e),v={};for(j(e),d=Object.keys(e),n=0;n<d.length;n++)if(0===d[n].indexOf(\"allaxes\")){for(i=0;i<m.length;i++){var y=m[i]._id.substr(1),x=-1!==y.indexOf(\"scene\")?y+\".\":\"\",w=d[n].replace(\"allaxes\",x+m[i]._name);e[w]||(e[w]=e[d[n]])}delete e[d[n]]}var M=T.layoutFlags(),A={},S={};function E(t,r){if(Array.isArray(t))t.forEach((function(t){E(t,r)}));else if(!(t in e)&&!_.hasParent(e,t)){var n=h(a,t);t in S||(S[t]=R(n.get())),void 0!==r&&n.set(r)}}var L,C={};function P(t){var e=p.name2id(t.split(\".\")[0]);return C[e]=1,e}for(var I in e){if(_.hasParent(e,I))throw new Error(\"cannot set \"+I+\" and a parent attribute simultaneously\");for(var O=h(a,I),z=e[I],D=O.parts.length-1;D>0&&\"string\"!=typeof O.parts[D];)D--;var B=O.parts[D],N=O.parts[D-1]+\".\"+B,U=O.parts.slice(0,D).join(\".\"),V=s(t.layout,U).get(),q=s(l,U).get(),W=O.get();if(void 0!==z){A[I]=z,S[I]=\"reverse\"===B?z:R(W);var Z=f.getLayoutValObject(l,O.parts);if(Z&&Z.impliedEdits&&null!==z)for(var J in Z.impliedEdits)E(o.relativeAttr(I,J),Z.impliedEdits[J]);if(-1!==[\"width\",\"height\"].indexOf(I))if(z){E(\"autosize\",null);var K=\"height\"===I?\"width\":\"height\";E(K,l[K])}else l[I]=t._initialAutoSize[I];else if(\"autosize\"===I)E(\"width\",z?null:l.width),E(\"height\",z?null:l.height);else if(N.match(H))P(N),s(l,U+\"._inputRange\").set(null);else if(N.match(G)){P(N),s(l,U+\"._inputRange\").set(null);var Q=s(l,U).get();Q._inputDomain&&(Q._input.domain=Q._inputDomain.slice())}else N.match(Y)&&s(l,U+\"._inputDomain\").set(null);if(\"type\"===B){L=V;var $=\"linear\"===q.type&&\"log\"===z,tt=\"log\"===q.type&&\"linear\"===z;if($||tt){if(L&&L.range)if(q.autorange)$&&(L.range=L.range[1]>L.range[0]?[1,2]:[2,1]);else{var et=L.range[0],rt=L.range[1];$?(et<=0&&rt<=0&&E(U+\".autorange\",!0),et<=0?et=rt/1e6:rt<=0&&(rt=et/1e6),E(U+\".range[0]\",Math.log(et)/Math.LN10),E(U+\".range[1]\",Math.log(rt)/Math.LN10)):(E(U+\".range[0]\",Math.pow(10,et)),E(U+\".range[1]\",Math.pow(10,rt)))}else E(U+\".autorange\",!0);Array.isArray(l._subplots.polar)&&l._subplots.polar.length&&l[O.parts[0]]&&\"radialaxis\"===O.parts[1]&&delete l[O.parts[0]]._subplot.viewInitial[\"radialaxis.range\"],u.getComponentMethod(\"annotations\",\"convertCoords\")(t,q,z,E),u.getComponentMethod(\"images\",\"convertCoords\")(t,q,z,E)}else E(U+\".autorange\",!0),E(U+\".range\",null);s(l,U+\"._inputRange\").set(null)}else if(B.match(k)){var nt=s(l,I).get(),it=(z||{}).type;it&&\"-\"!==it||(it=\"linear\"),u.getComponentMethod(\"annotations\",\"convertCoords\")(t,nt,it,E),u.getComponentMethod(\"images\",\"convertCoords\")(t,nt,it,E)}var at=b.containerArrayMatch(I);if(at){r=at.array,n=at.index;var ot=at.property,st=Z||{editType:\"calc\"};\"\"!==n&&\"\"===ot&&(b.isAddVal(z)?S[I]=null:b.isRemoveVal(z)?S[I]=(s(a,r).get()||[])[n]:o.warn(\"unrecognized full object value\",e)),T.update(M,st),v[r]||(v[r]={});var lt=v[r][n];lt||(lt=v[r][n]={}),lt[ot]=z,delete e[I]}else\"reverse\"===B?(V.range?V.range.reverse():(E(U+\".autorange\",!0),V.range=[1,0]),q.autorange?M.calc=!0:M.plot=!0):(l._has(\"scatter-like\")&&l._has(\"regl\")&&\"dragmode\"===I&&(\"lasso\"===z||\"select\"===z)&&\"lasso\"!==W&&\"select\"!==W||l._has(\"gl2d\")?M.plot=!0:Z?T.update(M,Z):M.calc=!0,O.set(z))}}for(r in v){b.applyContainerArrayChanges(t,h(a,r),v[r],M,h)||(M.plot=!0)}for(var ct in C){var ut=(L=p.getFromId(t,ct))&&L._constraintGroup;if(ut)for(var ft in M.calc=!0,ut)C[ft]||(p.getFromId(t,ft)._constraintShrinkable=!0)}return(X(t)||e.height||e.width)&&(M.plot=!0),(M.plot||M.calc)&&(M.layoutReplot=!0),{flags:M,rangesAltered:C,undoit:S,redoit:A,eventData:g}}function X(t){var e=t._fullLayout,r=e.width,n=e.height;return t.layout.autosize&&h.plotAutoSize(t,t.layout,e),e.width!==r||e.height!==n}function Z(t,e,n,i){t=o.getGraphDiv(t),_.clearPromiseQueue(t),o.isPlainObject(e)||(e={}),o.isPlainObject(n)||(n={}),Object.keys(e).length&&(t.changed=!0),Object.keys(n).length&&(t.changed=!0);var a=_.coerceTraceIndices(t,i),s=N(t,o.extendFlat({},e),a),l=s.flags,u=W(t,o.extendFlat({},n)),f=u.flags;(l.calc||f.calc)&&(t.calcdata=void 0),l.clearAxisTypes&&_.clearAxisTypes(t,a,n);var p=[];f.layoutReplot?p.push(w.layoutReplot):l.fullReplot?p.push(r._doPlot):(p.push(h.previousPromises),V(t,f,u)||h.supplyDefaults(t),l.style&&p.push(w.doTraceStyle),(l.colorbars||f.colorbars)&&p.push(w.doColorBars),f.legend&&p.push(w.doLegend),f.layoutstyle&&p.push(w.layoutStyles),f.axrange&&q(p,u.rangesAltered),f.ticks&&p.push(w.doTicksRelayout),f.modebar&&p.push(w.doModeBar),f.camera&&p.push(w.doCamera),p.push(A)),p.push(h.rehover,h.redrag),c.add(t,Z,[t,s.undoit,u.undoit,s.traces],Z,[t,s.redoit,u.redoit,s.traces]);var d=o.syncOrAsync(p,t);return d&&d.then||(d=Promise.resolve(t)),d.then((function(){return t.emit(\"plotly_update\",{data:s.eventData,layout:u.eventData}),t}))}function J(t){return function(e){e._fullLayout._guiEditing=!0;var r=t.apply(null,arguments);return e._fullLayout._guiEditing=!1,r}}var K=[{pattern:/^hiddenlabels/,attr:\"legend.uirevision\"},{pattern:/^((x|y)axis\\d*)\\.((auto)?range|title\\.text)/},{pattern:/axis\\d*\\.showspikes$/,attr:\"modebar.uirevision\"},{pattern:/(hover|drag)mode$/,attr:\"modebar.uirevision\"},{pattern:/^(scene\\d*)\\.camera/},{pattern:/^(geo\\d*)\\.(projection|center|fitbounds)/},{pattern:/^(ternary\\d*\\.[abc]axis)\\.(min|title\\.text)$/},{pattern:/^(polar\\d*\\.radialaxis)\\.((auto)?range|angle|title\\.text)/},{pattern:/^(polar\\d*\\.angularaxis)\\.rotation/},{pattern:/^(mapbox\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^legend\\.(x|y)$/,attr:\"editrevision\"},{pattern:/^(shapes|annotations)/,attr:\"editrevision\"},{pattern:/^title\\.text$/,attr:\"editrevision\"}],Q=[{pattern:/^selectedpoints$/,attr:\"selectionrevision\"},{pattern:/(^|value\\.)visible$/,attr:\"legend.uirevision\"},{pattern:/^dimensions\\[\\d+\\]\\.constraintrange/},{pattern:/^node\\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\\.)name$/},{pattern:/colorbar\\.title\\.text$/},{pattern:/colorbar\\.(x|y)$/,attr:\"editrevision\"}];function $(t,e){for(var r=0;r<e.length;r++){var n=e[r],i=t.match(n.pattern);if(i)return{head:i[1],attr:n.attr}}}function tt(t,e){var r=s(e,t).get();if(void 0!==r)return r;var n=t.split(\".\");for(n.pop();n.length>1;)if(n.pop(),void 0!==(r=s(e,n.join(\".\")+\".uirevision\").get()))return r;return e.uirevision}function et(t,e){for(var r=0;r<e.length;r++)if(e[r]._fullInput.uid===t)return r;return-1}function rt(t,e,r){for(var n=0;n<e.length;n++)if(e[n].uid===t)return n;return!e[r]||e[r].uid?-1:r}function nt(t,e){var r=o.isPlainObject(t),n=Array.isArray(t);return r||n?(r&&o.isPlainObject(e)||n&&Array.isArray(e))&&JSON.stringify(t)===JSON.stringify(e):t===e}function it(t,e,r,n){var i,a,l,c=n.getValObject,u=n.flags,f=n.immutable,h=n.inArray,p=n.arrayIndex;function d(){var t=i.editType;h&&-1!==t.indexOf(\"arraydraw\")?o.pushUnique(u.arrays[h],p):(T.update(u,i),\"none\"!==t&&u.nChanges++,n.transition&&i.anim&&u.nChangesAnim++,(H.test(l)||G.test(l))&&(u.rangesAltered[r[0]]=1),Y.test(l)&&s(e,\"_inputDomain\").set(null),\"datarevision\"===a&&(u.newDataRevision=1))}function m(t){return\"data_array\"===t.valType||t.arrayOk}for(a in t){if(u.calc&&!n.transition)return;var g=t[a],v=e[a],y=r.concat(a);if(l=y.join(\".\"),\"_\"!==a.charAt(0)&&\"function\"!=typeof g&&g!==v){if((\"tick0\"===a||\"dtick\"===a)&&\"geo\"!==r[0]){var x=e.tickmode;if(\"auto\"===x||\"array\"===x||!x)continue}if((\"range\"!==a||!e.autorange)&&(\"zmin\"!==a&&\"zmax\"!==a||\"contourcarpet\"!==e.type)&&(i=c(y))&&(!i._compareAsJSON||JSON.stringify(g)!==JSON.stringify(v))){var b,_=i.valType,w=m(i),k=Array.isArray(g),M=Array.isArray(v);if(k&&M){var A=\"_input_\"+a,S=t[A],E=e[A];if(Array.isArray(S)&&S===E)continue}if(void 0===v)w&&k?u.calc=!0:d();else if(i._isLinkedToArray){var L=[],C=!1;h||(u.arrays[a]=L);var P=Math.min(g.length,v.length),I=Math.max(g.length,v.length);if(P!==I){if(\"arraydraw\"!==i.editType){d();continue}C=!0}for(b=0;b<P;b++)it(g[b],v[b],y.concat(b),o.extendFlat({inArray:a,arrayIndex:b},n));if(C)for(b=P;b<I;b++)L.push(b)}else!_&&o.isPlainObject(g)?it(g,v,y,n):w?k&&M?(f&&(u.calc=!0),(f||n.newDataRevision)&&d()):k!==M?u.calc=!0:d():k&&M&&g.length===v.length&&String(g)===String(v)||d()}}}for(a in e)if(!(a in t)&&\"_\"!==a.charAt(0)&&\"function\"!=typeof e[a]){if(m(i=c(r.concat(a)))&&Array.isArray(e[a]))return void(u.calc=!0);d()}}function at(t){var e=t._fullLayout,r=t.getBoundingClientRect();if(!o.equalDomRects(r,e._lastBBox)){var n=e._invTransform=o.inverseTransformMatrix(o.getFullTransformMatrix(t));e._invScaleX=Math.sqrt(n[0][0]*n[0][0]+n[0][1]*n[0][1]+n[0][2]*n[0][2]),e._invScaleY=Math.sqrt(n[1][0]*n[1][0]+n[1][1]*n[1][1]+n[1][2]*n[1][2]),e._lastBBox=r}}r.animate=function(t,e,r){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error(\"This element is not a Plotly plot: \"+t+\". It's likely that you've failed to create a plot before animating it. For more details, see https://plotly.com/javascript/animations/\");var n=t._transitionData;n._frameQueue||(n._frameQueue=[]);var i=(r=h.supplyAnimationDefaults(r)).transition,a=r.frame;function s(t){return Array.isArray(i)?t>=i.length?i[0]:i[t]:i}function l(t){return Array.isArray(a)?t>=a.length?a[0]:a[t]:a}function c(t,e){var r=0;return function(){if(t&&++r===e)return t()}}return void 0===n._frameWaitingCnt&&(n._frameWaitingCnt=0),new Promise((function(a,u){function f(){n._currentFrame&&n._currentFrame.onComplete&&n._currentFrame.onComplete();var e=n._currentFrame=n._frameQueue.shift();if(e){var r=e.name?e.name.toString():null;t._fullLayout._currentFrame=r,n._lastFrameAt=Date.now(),n._timeToNext=e.frameOpts.duration,h.transition(t,e.frame.data,e.frame.layout,_.coerceTraceIndices(t,e.frame.traces),e.frameOpts,e.transitionOpts).then((function(){e.onComplete&&e.onComplete()})),t.emit(\"plotly_animatingframe\",{name:r,frame:e.frame,animation:{frame:e.frameOpts,transition:e.transitionOpts}})}else t.emit(\"plotly_animated\"),window.cancelAnimationFrame(n._animationRaf),n._animationRaf=null}function p(){t.emit(\"plotly_animating\"),n._lastFrameAt=-1/0,n._timeToNext=0,n._runningTransitions=0,n._currentFrame=null;var e=function(){n._animationRaf=window.requestAnimationFrame(e),Date.now()-n._lastFrameAt>n._timeToNext&&f()};e()}var d,m,g=0;function v(t){return Array.isArray(i)?g>=i.length?t.transitionOpts=i[g]:t.transitionOpts=i[0]:t.transitionOpts=i,g++,t}var y=[],x=null==e,b=Array.isArray(e);if(!x&&!b&&o.isPlainObject(e))y.push({type:\"object\",data:v(o.extendFlat({},e))});else if(x||-1!==[\"string\",\"number\"].indexOf(typeof e))for(d=0;d<n._frames.length;d++)(m=n._frames[d])&&(x||String(m.group)===String(e))&&y.push({type:\"byname\",name:String(m.name),data:v({name:m.name})});else if(b)for(d=0;d<e.length;d++){var w=e[d];-1!==[\"number\",\"string\"].indexOf(typeof w)?(w=String(w),y.push({type:\"byname\",name:w,data:v({name:w})})):o.isPlainObject(w)&&y.push({type:\"object\",data:v(o.extendFlat({},w))})}for(d=0;d<y.length;d++)if(\"byname\"===(m=y[d]).type&&!n._frameHash[m.data.name])return o.warn('animate failure: frame not found: \"'+m.data.name+'\"'),void u();-1!==[\"next\",\"immediate\"].indexOf(r.mode)&&function(){if(0!==n._frameQueue.length){for(;n._frameQueue.length;){var e=n._frameQueue.pop();e.onInterrupt&&e.onInterrupt()}t.emit(\"plotly_animationinterrupted\",[])}}(),\"reverse\"===r.direction&&y.reverse();var T=t._fullLayout._currentFrame;if(T&&r.fromcurrent){var k=-1;for(d=0;d<y.length;d++)if(\"byname\"===(m=y[d]).type&&m.name===T){k=d;break}if(k>0&&k<y.length-1){var M=[];for(d=0;d<y.length;d++)m=y[d],(\"byname\"!==y[d].type||d>k)&&M.push(m);y=M}}y.length>0?function(e){if(0!==e.length){for(var i=0;i<e.length;i++){var o;o=\"byname\"===e[i].type?h.computeFrame(t,e[i].name):e[i].data;var f=l(i),d=s(i);d.duration=Math.min(d.duration,f.duration);var m={frame:o,name:e[i].name,frameOpts:f,transitionOpts:d};i===e.length-1&&(m.onComplete=c(a,2),m.onInterrupt=u),n._frameQueue.push(m)}\"immediate\"===r.mode&&(n._lastFrameAt=-1/0),n._animationRaf||p()}}(y):(t.emit(\"plotly_animated\"),a())}))},r.addFrames=function(t,e,r){if(t=o.getGraphDiv(t),null==e)return Promise.resolve();if(!o.isPlotDiv(t))throw new Error(\"This element is not a Plotly plot: \"+t+\". It's likely that you've failed to create a plot before adding frames. For more details, see https://plotly.com/javascript/animations/\");var n,i,a,s,l=t._transitionData._frames,u=t._transitionData._frameHash;if(!Array.isArray(e))throw new Error(\"addFrames failure: frameList must be an Array of frame definitions\"+e);var f=l.length+2*e.length,p=[],d={};for(n=e.length-1;n>=0;n--)if(o.isPlainObject(e[n])){var m=e[n].name,g=(u[m]||d[m]||{}).name,v=e[n].name,y=u[g]||d[g];g&&v&&\"number\"==typeof v&&y&&M<5&&(M++,o.warn('addFrames: overwriting frame \"'+(u[g]||d[g]).name+'\" with a frame whose name of type \"number\" also equates to \"'+g+'\". This is valid but may potentially lead to unexpected behavior since all plotly.js frame names are stored internally as strings.'),5===M&&o.warn(\"addFrames: This API call has yielded too many of these warnings. For the rest of this call, further warnings about numeric frame names will be suppressed.\")),d[m]={name:m},p.push({frame:h.supplyFrameDefaults(e[n]),index:r&&void 0!==r[n]&&null!==r[n]?r[n]:f+n})}p.sort((function(t,e){return t.index>e.index?-1:t.index<e.index?1:0}));var x=[],b=[],_=l.length;for(n=p.length-1;n>=0;n--){if(\"number\"==typeof(i=p[n].frame).name&&o.warn(\"Warning: addFrames accepts frames with numeric names, but the numbers areimplicitly cast to strings\"),!i.name)for(;u[i.name=\"frame \"+t._transitionData._counter++];);if(u[i.name]){for(a=0;a<l.length&&(l[a]||{}).name!==i.name;a++);x.push({type:\"replace\",index:a,value:i}),b.unshift({type:\"replace\",index:a,value:l[a]})}else s=Math.max(0,Math.min(p[n].index,_)),x.push({type:\"insert\",index:s,value:i}),b.unshift({type:\"delete\",index:s}),_++}var w=h.modifyFrames,T=h.modifyFrames,k=[t,b],A=[t,x];return c&&c.add(t,w,k,T,A),h.modifyFrames(t,x)},r.deleteFrames=function(t,e){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error(\"This element is not a Plotly plot: \"+t);var r,n,i=t._transitionData._frames,a=[],s=[];if(!e)for(e=[],r=0;r<i.length;r++)e.push(r);for((e=e.slice()).sort(),r=e.length-1;r>=0;r--)n=e[r],a.push({type:\"delete\",index:n}),s.unshift({type:\"insert\",index:n,value:i[n]});var l=h.modifyFrames,u=h.modifyFrames,f=[t,s],p=[t,a];return c&&c.add(t,l,f,u,p),h.modifyFrames(t,a)},r.addTraces=function t(e,n,i){e=o.getGraphDiv(e);var a,s,l=[],u=r.deleteTraces,f=t,h=[e,l],p=[e,n];for(function(t,e,r){var n,i;if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"traces must be defined.\");for(Array.isArray(e)||(e=[e]),n=0;n<e.length;n++)if(\"object\"!=typeof(i=e[n])||Array.isArray(i)||null===i)throw new Error(\"all values in traces array must be non-array objects\");if(void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&r.length!==e.length)throw new Error(\"if indices is specified, traces.length must equal indices.length\")}(e,n,i),Array.isArray(n)||(n=[n]),n=n.map((function(t){return o.extendFlat({},t)})),_.cleanData(n),a=0;a<n.length;a++)e.data.push(n[a]);for(a=0;a<n.length;a++)l.push(-n.length+a);if(void 0===i)return s=r.redraw(e),c.add(e,u,h,f,p),s;Array.isArray(i)||(i=[i]);try{I(e,l,i)}catch(t){throw e.data.splice(e.data.length-n.length,n.length),t}return c.startSequence(e),c.add(e,u,h,f,p),s=r.moveTraces(e,l,i),c.stopSequence(e),s},r.deleteTraces=function t(e,n){e=o.getGraphDiv(e);var i,a,s=[],l=r.addTraces,u=t,f=[e,s,n],h=[e,n];if(void 0===n)throw new Error(\"indices must be an integer or array of integers.\");for(Array.isArray(n)||(n=[n]),P(e,n,\"indices\"),(n=C(n,e.data.length-1)).sort(o.sorterDes),i=0;i<n.length;i+=1)a=e.data.splice(n[i],1)[0],s.push(a);var p=r.redraw(e);return c.add(e,l,f,u,h),p},r.extendTraces=function t(e,n,i,a){function s(t,e,r){var n,i;if(o.isTypedArray(t))if(r<0){var a=new t.constructor(0),s=z(t,e);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(l)),i.set(t),i.set(e.subarray(0,l),t.length)}else{var c=r-e.length,u=t.length-c;n.set(t.subarray(u)),n.set(e,c),i.set(t.subarray(0,u))}else n=t.concat(e),i=r>=0&&r<n.length?n.splice(0,n.length-r):[];return[n,i]}var l=O(e=o.getGraphDiv(e),n,i,a,s),u=r.redraw(e),f=[e,l.update,i,l.maxPoints];return c.add(e,r.prependTraces,f,t,arguments),u},r.moveTraces=function t(e,n,i){var a,s=[],l=[],u=t,f=t,h=[e=o.getGraphDiv(e),i,n],p=[e,n,i];if(I(e,n,i),n=Array.isArray(n)?n:[n],void 0===i)for(i=[],a=0;a<n.length;a++)i.push(-n.length+a);for(i=Array.isArray(i)?i:[i],n=C(n,e.data.length-1),i=C(i,e.data.length-1),a=0;a<e.data.length;a++)-1===n.indexOf(a)&&s.push(e.data[a]);for(a=0;a<n.length;a++)l.push({newIndex:i[a],trace:e.data[n[a]]});for(l.sort((function(t,e){return t.newIndex-e.newIndex})),a=0;a<l.length;a+=1)s.splice(l[a].newIndex,0,l[a].trace);e.data=s;var d=r.redraw(e);return c.add(e,u,h,f,p),d},r.prependTraces=function t(e,n,i,a){function s(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=z(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var c=r-e.length;n.set(e),n.set(t.subarray(0,c),e.length),i.set(t.subarray(c))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]}var l=O(e=o.getGraphDiv(e),n,i,a,s),u=r.redraw(e),f=[e,l.update,i,l.maxPoints];return c.add(e,r.extendTraces,f,t,arguments),u},r.newPlot=function(t,e,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),r._doPlot(t,e,n,i)},r._doPlot=function(t,e,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(e)){var c=e;e=c.data,i=c.layout,a=c.config,s=c.frames}if(!1===l.triggerHandler(t,\"plotly_beforeplot\",[e,i,a]))return Promise.reject();e||i||o.isPlotDiv(t)||o.warn(\"Calling _doPlot as if redrawing but this container doesn't yet have a plot.\",t),L(t,a),i||(i={}),n.select(t).classed(\"js-plotly-plot\",!0),d.makeTester(),Array.isArray(t._promises)||(t._promises=[]);var f=0===(t.data||[]).length&&Array.isArray(e);Array.isArray(e)&&(_.cleanData(e),f?t.data=e:t.data.push.apply(t.data,e),t.empty=!1),t.layout&&!f||(t.layout=_.cleanLayout(i)),h.supplyDefaults(t);var m=t._fullLayout,y=m._has(\"cartesian\");m._replotting=!0,(f||m._shouldCreateBgLayer)&&(!function(t){var e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=at,r._calcInverseTransform(t),r._container=e.selectAll(\".plot-container\").data([0]),r._container.enter().insert(\"div\",\":first-child\").classed(\"plot-container\",!0).classed(\"plotly\",!0),r._paperdiv=r._container.selectAll(\".svg-container\").data([0]),r._paperdiv.enter().append(\"div\").classed(\"user-select-none\",!0).classed(\"svg-container\",!0).style(\"position\",\"relative\"),r._glcontainer=r._paperdiv.selectAll(\".gl-container\").data([{}]),r._glcontainer.enter().append(\"div\").classed(\"gl-container\",!0),r._paperdiv.selectAll(\".main-svg\").remove(),r._paperdiv.select(\".modebar-container\").remove(),r._paper=r._paperdiv.insert(\"svg\",\":first-child\").classed(\"main-svg\",!0),r._toppaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",!0),r._modebardiv=r._paperdiv.append(\"div\"),delete r._modeBar,r._hoverpaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",!0),!r._uid){var i={};n.selectAll(\"defs\").each((function(){this.id&&(i[this.id.split(\"-\")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(\".main-svg\").attr(v.svgAttrs),r._defs=r._paper.append(\"defs\").attr(\"id\",\"defs-\"+r._uid),r._clips=r._defs.append(\"g\").classed(\"clips\",!0),r._topdefs=r._toppaper.append(\"defs\").attr(\"id\",\"topdefs-\"+r._uid),r._topclips=r._topdefs.append(\"g\").classed(\"clips\",!0),r._bgLayer=r._paper.append(\"g\").classed(\"bglayer\",!0),r._draggers=r._paper.append(\"g\").classed(\"draglayer\",!0);var a=r._paper.append(\"g\").classed(\"layer-below\",!0);r._imageLowerLayer=a.append(\"g\").classed(\"imagelayer\",!0),r._shapeLowerLayer=a.append(\"g\").classed(\"shapelayer\",!0),r._cartesianlayer=r._paper.append(\"g\").classed(\"cartesianlayer\",!0),r._polarlayer=r._paper.append(\"g\").classed(\"polarlayer\",!0),r._ternarylayer=r._paper.append(\"g\").classed(\"ternarylayer\",!0),r._geolayer=r._paper.append(\"g\").classed(\"geolayer\",!0),r._funnelarealayer=r._paper.append(\"g\").classed(\"funnelarealayer\",!0),r._pielayer=r._paper.append(\"g\").classed(\"pielayer\",!0),r._iciclelayer=r._paper.append(\"g\").classed(\"iciclelayer\",!0),r._treemaplayer=r._paper.append(\"g\").classed(\"treemaplayer\",!0),r._sunburstlayer=r._paper.append(\"g\").classed(\"sunburstlayer\",!0),r._indicatorlayer=r._toppaper.append(\"g\").classed(\"indicatorlayer\",!0),r._glimages=r._paper.append(\"g\").classed(\"glimages\",!0);var s=r._toppaper.append(\"g\").classed(\"layer-above\",!0);r._imageUpperLayer=s.append(\"g\").classed(\"imagelayer\",!0),r._shapeUpperLayer=s.append(\"g\").classed(\"shapelayer\",!0),r._infolayer=r._toppaper.append(\"g\").classed(\"infolayer\",!0),r._menulayer=r._toppaper.append(\"g\").classed(\"menulayer\",!0),r._zoomlayer=r._toppaper.append(\"g\").classed(\"zoomlayer\",!0),r._hoverlayer=r._hoverpaper.append(\"g\").classed(\"hoverlayer\",!0),r._modebardiv.classed(\"modebar-container\",!0).style(\"position\",\"absolute\").style(\"top\",\"0px\").style(\"right\",\"0px\"),t.emit(\"plotly_framework\")}(t),m._shouldCreateBgLayer&&delete m._shouldCreateBgLayer),d.initGradients(t),d.initPatterns(t),f&&p.saveShowSpikeInitial(t);var x=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;x&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function M(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var r=m._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);if(!m._glcanvas&&m._has(\"gl\")&&(m._glcanvas=m._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:!0,pick:!1},{key:\"focusLayer\",context:!1,pick:!1},{key:\"pickLayer\",context:!1,pick:!0}],(function(t){return t.key})),m._glcanvas.enter().append(\"canvas\").attr(\"class\",(function(t){return\"gl-canvas gl-canvas-\"+t.key.replace(\"Layer\",\"\")})).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"})),m._glcanvas){m._glcanvas.attr(\"width\",m.width).attr(\"height\",m.height);var i=m._glcanvas.data()[0].regl;if(i&&(Math.floor(m.width)!==i._gl.drawingBufferWidth||Math.floor(m.height)!==i._gl.drawingBufferHeight)){var a=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(!k)return o.log(a+\" Clearing graph and plotting again.\"),h.cleanPlot([],{},t._fullData,m),h.supplyDefaults(t),m=t._fullLayout,h.doCalcdata(t),k++,e();o.error(a)}}return\"h\"===m.modebar.orientation?m._modebardiv.style(\"height\",null).style(\"width\",\"100%\"):m._modebardiv.style(\"width\",null).style(\"height\",m.height+\"px\"),h.previousPromises(t)},M,function(){if(h.didMarginChange(T,m._size))return o.syncOrAsync([M,w.layoutStyles],t)}];y&&E.push((function(){if(x)return o.syncOrAsync([u.getComponentMethod(\"shapes\",\"calcAutorange\"),u.getComponentMethod(\"annotations\",\"calcAutorange\"),S],t);S()})),E.push(w.layoutStyles),y&&E.push((function(){return p.draw(t,f?\"\":\"redraw\")}),(function(t){t._fullLayout._insideTickLabelsAutorange&&U(t,t._fullLayout._insideTickLabelsAutorange).then((function(){t._fullLayout._insideTickLabelsAutorange=void 0}))})),E.push(w.drawData,w.finalDraw,g,h.addLinks,h.rehover,h.redrag,h.doAutoMargin,(function(t){t._fullLayout._insideTickLabelsAutorange&&f&&p.saveRangeInitial(t,!0)}),h.previousPromises);var C=o.syncOrAsync(E,t);return C&&C.then||(C=Promise.resolve()),C.then((function(){return A(t),t}))},r.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return h.cleanPlot([],{},r,e),h.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},r.react=function(t,e,n,i){var a,l;t=o.getGraphDiv(t),_.clearPromiseQueue(t);var c=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&c&&p){if(o.isPlainObject(e)){var d=e;e=d.data,n=d.layout,i=d.config,a=d.frames}var m=!1;if(i){var g=o.extendDeep({},t._context);t._context=void 0,L(t,i),m=function t(e,r){var n;for(n in e)if(\"_\"!==n.charAt(0)){var i=e[n],a=r[n];if(i!==a)if(o.isPlainObject(i)&&o.isPlainObject(a)){if(t(i,a))return!0}else{if(!Array.isArray(i)||!Array.isArray(a))return!0;if(i.length!==a.length)return!0;for(var s=0;s<i.length;s++)if(i[s]!==a[s]){if(!o.isPlainObject(i[s])||!o.isPlainObject(a[s]))return!0;if(t(i[s],a[s]))return!0}}}}(g,t._context)}t.data=e||[],_.cleanData(t.data),t.layout=n||{},_.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,c,u,f,h,p,d=n._preGUI,m=[],g={};for(i in d){if(u=$(i,K)){if(a=u.attr||u.head+\".uirevision\",(c=(l=s(n,a).get())&&tt(a,e))&&c===l&&(null===(f=d[i])&&(f=void 0),nt(p=(h=s(e,i)).get(),f))){void 0===p&&\"autorange\"===i.substr(i.length-9)&&m.push(i.substr(0,i.length-10)),h.set(R(s(n,i).get()));continue}}else o.warn(\"unrecognized GUI edit: \"+i);delete d[i],\"range[\"===i.substr(i.length-8,6)&&(g[i.substr(0,i.length-9)]=1)}for(var v=0;v<m.length;v++){var y=m[v];if(g[y]){var x=s(e,y).get();x&&delete x.autorange}}var b=n._tracePreGUI;for(var _ in b){var w,T=b[_],k=null;for(i in T){if(!k){var M=et(_,r);if(M<0){delete b[_];break}var A=rt(_,t,(w=r[M]._fullInput).index);if(A<0){delete b[_];break}k=t[A]}if(u=$(i,Q)){if(u.attr?c=(l=s(n,u.attr).get())&&tt(u.attr,e):(l=w.uirevision,void 0===(c=k.uirevision)&&(c=e.uirevision)),c&&c===l&&(null===(f=T[i])&&(f=void 0),nt(p=(h=s(k,i)).get(),f))){h.set(R(s(w,i).get()));continue}}else o.warn(\"unrecognized GUI edit: \"+i+\" in trace uid \"+_);delete T[i]}}}(t.data,t.layout,c,p),h.supplyDefaults(t,{skipUpdateCalc:!0});var v=t._fullData,y=t._fullLayout,x=void 0===y.datarevision,b=y.transition,k=function(t,e,r,n,i){var a=T.layoutFlags();function o(t){return f.getLayoutValObject(r,t)}a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0,it(e,r,[],{getValObject:o,flags:a,immutable:n,transition:i,gd:t}),(a.plot||a.calc)&&(a.layoutReplot=!0);i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?\"all\":\"some\");return a}(t,p,y,x,b),M=k.newDataRevision,S=function(t,e,r,n,i,a){var o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,c=T.traceFlags();c.arrays={},c.nChanges=0,c.nChangesAnim=0;var u={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:c,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],u)}(c.calc||c.plot)&&(c.fullReplot=!0);i&&c.nChanges&&c.nChangesAnim&&(c.anim=c.nChanges===c.nChangesAnim&&o?\"all\":\"some\");return c}(t,c,v,x,b,M);if(X(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(y),C=0;C<E.length;C++){var P=E[C],I=P.substring(0,5);if(\"xaxis\"===I||\"yaxis\"===I){var O=y[P]._emptyCategories;O&&O()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,v);var z=[];if(a&&(t._transitionData={},h.createTransitionData(t),z.push((function(){return r.addFrames(t,a)}))),y.transition&&!m&&(S.anim||k.anim))k.ticks&&z.push(w.doTicksRelayout),h.doCalcdata(t),w.doAutoRangeAndConstraints(t),z.push((function(){return h.transitionFromReact(t,S,k,p)}));else if(S.fullReplot||k.layoutReplot||m)t._fullLayout._skipDefaults=!0,z.push(r._doPlot);else{for(var D in k.arrays){var F=k.arrays[D];if(F.length){var B=u.getComponentMethod(D,\"drawOne\");if(B!==o.noop)for(var N=0;N<F.length;N++)B(t,F[N]);else{var j=u.getComponentMethod(D,\"draw\");if(j===o.noop)throw new Error(\"cannot draw components: \"+D);j(t)}}}z.push(h.previousPromises),S.style&&z.push(w.doTraceStyle),(S.colorbars||k.colorbars)&&z.push(w.doColorBars),k.legend&&z.push(w.doLegend),k.layoutstyle&&z.push(w.layoutStyles),k.axrange&&q(z),k.ticks&&z.push(w.doTicksRelayout),k.modebar&&z.push(w.doModeBar),k.camera&&z.push(w.doCamera),z.push(A)}z.push(h.rehover,h.redrag),(l=o.syncOrAsync(z,t))&&l.then||(l=Promise.resolve(t))}else l=r.newPlot(t,e,n,i);return l.then((function(){return t.emit(\"plotly_react\",{data:e,layout:n}),t}))},r.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error(\"This element is not a Plotly plot: \"+t);return _.cleanData(t.data),_.cleanLayout(t.layout),t.calcdata=void 0,r._doPlot(t).then((function(){return t.emit(\"plotly_redraw\"),t}))},r.relayout=U,r.restyle=D,r.setPlotConfig=function(t){return o.extendFlat(x,t)},r.update=Z,r._guiRelayout=J(U),r._guiRestyle=J(D),r._guiUpdate=J(Z),r._storeDirectGUIEdit=function(t,e,r){for(var n in r){B(n,s(t,n).get(),r[n],e)}}},{\"../components/color\":662,\"../components/drawing\":684,\"../constants/xmlns_namespaces\":776,\"../lib\":799,\"../lib/events\":788,\"../lib/queue\":815,\"../plots/cartesian/axes\":849,\"../plots/cartesian/constants\":856,\"../plots/cartesian/graph_interact\":859,\"../plots/cartesian/select\":869,\"../plots/plots\":913,\"../registry\":927,\"./edit_types\":831,\"./helpers\":832,\"./manage_arrays\":834,\"./plot_config\":836,\"./plot_schema\":837,\"./subroutines\":839,\"@plotly/d3\":58,\"fast-isnumeric\":245,\"has-hover\":439}],836:[function(t,e,r){\"use strict\";var n={staticPlot:{valType:\"boolean\",dflt:!1},plotlyServerURL:{valType:\"string\",dflt:\"\"},editable:{valType:\"boolean\",dflt:!1},edits:{annotationPosition:{valType:\"boolean\",dflt:!1},annotationTail:{valType:\"boolean\",dflt:!1},annotationText:{valType:\"boolean\",dflt:!1},axisTitleText:{valType:\"boolean\",dflt:!1},colorbarPosition:{valType:\"boolean\",dflt:!1},colorbarTitleText:{valType:\"boolean\",dflt:!1},legendPosition:{valType:\"boolean\",dflt:!1},legendText:{valType:\"boolean\",dflt:!1},shapePosition:{valType:\"boolean\",dflt:!1},titleText:{valType:\"boolean\",dflt:!1}},autosizable:{valType:\"boolean\",dflt:!1},responsive:{valType:\"boolean\",dflt:!1},fillFrame:{valType:\"boolean\",dflt:!1},frameMargins:{valType:\"number\",dflt:0,min:0,max:.5},scrollZoom:{valType:\"flaglist\",flags:[\"cartesian\",\"gl3d\",\"geo\",\"mapbox\"],extras:[!0,!1],dflt:\"gl3d+geo+mapbox\"},doubleClick:{valType:\"enumerated\",values:[!1,\"reset\",\"autosize\",\"reset+autosize\"],dflt:\"reset+autosize\"},doubleClickDelay:{valType:\"number\",dflt:300,min:0},showAxisDragHandles:{valType:\"boolean\",dflt:!0},showAxisRangeEntryBoxes:{valType:\"boolean\",dflt:!0},showTips:{valType:\"boolean\",dflt:!0},showLink:{valType:\"boolean\",dflt:!1},linkText:{valType:\"string\",dflt:\"Edit chart\",noBlank:!0},sendData:{valType:\"boolean\",dflt:!0},showSources:{valType:\"any\",dflt:!1},displayModeBar:{valType:\"enumerated\",values:[\"hover\",!0,!1],dflt:\"hover\"},showSendToCloud:{valType:\"boolean\",dflt:!1},showEditInChartStudio:{valType:\"boolean\",dflt:!1},modeBarButtonsToRemove:{valType:\"any\",dflt:[]},modeBarButtonsToAdd:{valType:\"any\",dflt:[]},modeBarButtons:{valType:\"any\",dflt:!1},toImageButtonOptions:{valType:\"any\",dflt:{}},displaylogo:{valType:\"boolean\",dflt:!0},watermark:{valType:\"boolean\",dflt:!1},plotGlPixelRatio:{valType:\"number\",dflt:2,min:1,max:4},setBackground:{valType:\"any\",dflt:\"transparent\"},topojsonURL:{valType:\"string\",noBlank:!0,dflt:\"https://cdn.plot.ly/\"},mapboxAccessToken:{valType:\"string\",dflt:null},logging:{valType:\"integer\",min:0,max:2,dflt:1},notifyOnLogging:{valType:\"integer\",min:0,max:2,dflt:0},queueLength:{valType:\"integer\",min:0,dflt:0},globalTransforms:{valType:\"any\",dflt:[]},locale:{valType:\"string\",dflt:\"en-US\"},locales:{valType:\"any\",dflt:{}}},i={};!function t(e,r){for(var n in e){var i=e[n];i.valType?r[n]=i.dflt:(r[n]||(r[n]={}),t(i,r[n]))}}(n,i),e.exports={configAttributes:n,dfltConfig:i}},{}],837:[function(t,e,r){\"use strict\";var n=t(\"../registry\"),i=t(\"../lib\"),a=t(\"../plots/attributes\"),o=t(\"../plots/layout_attributes\"),s=t(\"../plots/frame_attributes\"),l=t(\"../plots/animation_attributes\"),c=t(\"./plot_config\").configAttributes,u=t(\"./edit_types\"),f=i.extendDeepAll,h=i.isPlainObject,p=i.isArrayOrTypedArray,d=i.nestedProperty,m=i.valObjectMeta,g=[\"_isSubplotObj\",\"_isLinkedToArray\",\"_arrayAttrRegexps\",\"_deprecated\"];function v(t,e,r){if(!t)return!1;if(t._isLinkedToArray)if(y(e[r]))r++;else if(r<e.length)return!1;for(;r<e.length;r++){var n=t[e[r]];if(!h(n))break;if(t=n,r===e.length-1)break;if(t._isLinkedToArray){if(!y(e[++r]))return!1}else if(\"info_array\"===t.valType){var i=e[++r];if(!y(i))return!1;var a=t.items;if(Array.isArray(a)){if(i>=a.length)return!1;if(2===t.dimensions){if(r++,e.length===r)return t;var o=e[r];if(!y(o))return!1;t=a[i][o]}else t=a[i]}else t=a}}return t}function y(t){return t===Math.round(t)&&t>=0}function x(){var t,e,r={};for(t in f(r,o),n.subplotsRegistry){if((e=n.subplotsRegistry[t]).layoutAttributes)if(Array.isArray(e.attr))for(var i=0;i<e.attr.length;i++)w(r,e,e.attr[i]);else w(r,e,\"subplot\"===e.attr?e.name:e.attr)}for(t in n.componentsRegistry){var a=(e=n.componentsRegistry[t]).schema;if(a&&(a.subplots||a.layout)){var s=a.subplots;if(s&&s.xaxis&&!s.yaxis)for(var l in s.xaxis)delete r.yaxis[l]}else\"colorscale\"===e.name?f(r,e.layoutAttributes):e.layoutAttributes&&T(r,e.layoutAttributes,e.name)}return{layoutAttributes:_(r)}}function b(){var t={frames:f({},s)};return _(t),t.frames}function _(t){return function(t){r.crawl(t,(function(t,e,n){r.isValObject(t)?!0!==t.arrayOk&&\"data_array\"!==t.valType||(n[e+\"src\"]={valType:\"string\",editType:\"none\"}):h(t)&&(t.role=\"object\")}))}(t),function(t){r.crawl(t,(function(t,e,r){if(t){var n=t._isLinkedToArray;n&&(delete t._isLinkedToArray,r[e]={items:{}},r[e].items[n]=t,r[e].role=\"object\")}}))}(t),function(t){!function t(e){for(var r in e)if(h(e[r]))t(e[r]);else if(Array.isArray(e[r]))for(var n=0;n<e[r].length;n++)t(e[r][n]);else e[r]instanceof RegExp&&(e[r]=e[r].toString())}(t)}(t),t}function w(t,e,r){var n=d(t,r),i=f({},e.layoutAttributes);i._isSubplotObj=!0,n.set(i)}function T(t,e,r){var n=d(t,r);n.set(f(n.get()||{},e))}r.IS_SUBPLOT_OBJ=\"_isSubplotObj\",r.IS_LINKED_TO_ARRAY=\"_isLinkedToArray\",r.DEPRECATED=\"_deprecated\",r.UNDERSCORE_ATTRS=g,r.get=function(){var t={};n.allTypes.forEach((function(e){t[e]=function(t){var e,i;e=n.modules[t]._module,i=e.basePlotModule;var o={type:null},s=f({},a),l=f({},e.attributes);r.crawl(l,(function(t,e,r,n,i){d(s,i).set(void 0),void 0===t&&d(l,i).set(void 0)})),f(o,s),n.traceIs(t,\"noOpacity\")&&delete o.opacity;n.traceIs(t,\"showLegend\")||(delete o.showlegend,delete o.legendgroup);n.traceIs(t,\"noHover\")&&(delete o.hoverinfo,delete o.hoverlabel);e.selectPoints||delete o.selectedpoints;f(o,l),i.attributes&&f(o,i.attributes);o.type=t;var c={meta:e.meta||{},categories:e.categories||{},animatable:Boolean(e.animatable),type:t,attributes:_(o)};if(e.layoutAttributes){var u={};f(u,e.layoutAttributes),c.layoutAttributes=_(u)}e.animatable||r.crawl(c,(function(t){r.isValObject(t)&&\"anim\"in t&&delete t.anim}));return c}(e)}));var e={};return Object.keys(n.transformsRegistry).forEach((function(t){e[t]=function(t){var e=n.transformsRegistry[t],r=f({},e.attributes);return Object.keys(n.componentsRegistry).forEach((function(e){var i=n.componentsRegistry[e];i.schema&&i.schema.transforms&&i.schema.transforms[t]&&Object.keys(i.schema.transforms[t]).forEach((function(e){T(r,i.schema.transforms[t][e],e)}))})),{attributes:_(r)}}(t)})),{defs:{valObjects:m,metaKeys:g.concat([\"description\",\"role\",\"editType\",\"impliedEdits\"]),editType:{traces:u.traces,layout:u.layout},impliedEdits:{}},traces:t,layout:x(),transforms:e,frames:b(),animation:_(l),config:_(c)}},r.crawl=function(t,e,n,i){var a=n||0;i=i||\"\",Object.keys(t).forEach((function(n){var o=t[n];if(-1===g.indexOf(n)){var s=(i?i+\".\":\"\")+n;e(o,n,t,a,s),r.isValObject(o)||h(o)&&\"impliedEdits\"!==n&&r.crawl(o,e,a+1,s)}}))},r.isValObject=function(t){return t&&void 0!==t.valType},r.findArrayAttributes=function(t){var e,n,i=[],o=[],s=[];function l(t,r,a,l){o=o.slice(0,l).concat([r]),s=s.slice(0,l).concat([t&&t._isLinkedToArray]),t&&(\"data_array\"===t.valType||!0===t.arrayOk)&&!(\"colorbar\"===o[l-1]&&(\"ticktext\"===r||\"tickvals\"===r))&&function t(e,r,a){var l=e[o[r]],c=a+o[r];if(r===o.length-1)p(l)&&i.push(n+c);else if(s[r]){if(Array.isArray(l))for(var u=0;u<l.length;u++)h(l[u])&&t(l[u],r+1,c+\"[\"+u+\"].\")}else h(l)&&t(l,r+1,c+\".\")}(e,0,\"\")}e=t,n=\"\",r.crawl(a,l),t._module&&t._module.attributes&&r.crawl(t._module.attributes,l);var c=t.transforms;if(c)for(var u=0;u<c.length;u++){var f=c[u],d=f._module;d&&(n=\"transforms[\"+u+\"].\",e=f,r.crawl(d.attributes,l))}return i},r.getTraceValObject=function(t,e){var r,i,o=e[0],s=1;if(\"transforms\"===o){if(1===e.length)return a.transforms;var l=t.transforms;if(!Array.isArray(l)||!l.length)return!1;var c=e[1];if(!y(c)||c>=l.length)return!1;i=(r=(n.transformsRegistry[l[c].type]||{}).attributes)&&r[e[2]],s=3}else{var u=t._module;if(u||(u=(n.modules[t.type||a.type.dflt]||{})._module),!u)return!1;if(!(i=(r=u.attributes)&&r[o])){var f=u.basePlotModule;f&&f.attributes&&(i=f.attributes[o])}i||(i=a[o])}return v(i,e,s)},r.getLayoutValObject=function(t,e){return v(function(t,e){var r,i,a,s,l=t._basePlotModules;if(l){var c;for(r=0;r<l.length;r++){if((a=l[r]).attrRegex&&a.attrRegex.test(e)){if(a.layoutAttrOverrides)return a.layoutAttrOverrides;!c&&a.layoutAttributes&&(c=a.layoutAttributes)}var u=a.baseLayoutAttrOverrides;if(u&&e in u)return u[e]}if(c)return c}var f=t._modules;if(f)for(r=0;r<f.length;r++)if((s=f[r].layoutAttributes)&&e in s)return s[e];for(i in n.componentsRegistry){if(\"colorscale\"===(a=n.componentsRegistry[i]).name&&0===e.indexOf(\"coloraxis\"))return a.layoutAttributes[e];if(!a.schema&&e===a.name)return a.layoutAttributes}return e in o&&o[e]}(t,e[0]),e,1)}},{\"../lib\":799,\"../plots/animation_attributes\":843,\"../plots/attributes\":845,\"../plots/frame_attributes\":879,\"../plots/layout_attributes\":904,\"../registry\":927,\"./edit_types\":831,\"./plot_config\":836}],838:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../plots/attributes\"),a={name:{valType:\"string\",editType:\"none\"}};function o(t){return t&&\"string\"==typeof t}function s(t){var e=t.length-1;return\"s\"!==t.charAt(e)&&n.warn(\"bad argument to arrayDefaultKey: \"+t),t.substr(0,t.length-1)+\"defaults\"}a.templateitemname={valType:\"string\",editType:\"calc\"},r.templatedArray=function(t,e){return e._isLinkedToArray=t,e.name=a.name,e.templateitemname=a.templateitemname,e},r.traceTemplater=function(t){var e,r,a={};for(e in t)r=t[e],Array.isArray(r)&&r.length&&(a[e]=0);return{newTrace:function(o){var s={type:e=n.coerce(o,{},i,\"type\"),_template:null};if(e in a){r=t[e];var l=a[e]%r.length;a[e]++,s._template=r[l]}return s}}},r.newContainer=function(t,e,r){var i=t._template,a=i&&(i[e]||r&&i[r]);return n.isPlainObject(a)||(a=null),t[e]={_template:a}},r.arrayTemplater=function(t,e,r){var n=t._template,i=n&&n[s(e)],a=n&&n[e];Array.isArray(a)&&a.length||(a=[]);var l={};return{newItem:function(t){var e={name:t.name,_input:t},n=e.templateitemname=t.templateitemname;if(!o(n))return e._template=i,e;for(var s=0;s<a.length;s++){var c=a[s];if(c.name===n)return l[n]=1,e._template=c,e}return e[r]=t[r]||!1,e._template=!1,e},defaultItems:function(){for(var t=[],e=0;e<a.length;e++){var r=a[e],n=r.name;if(o(n)&&!l[n]){var i={_template:r,name:n,_input:{_templateitemname:n}};i.templateitemname=r.templateitemname,t.push(i),l[n]=1}}return t}}},r.arrayDefaultKey=s,r.arrayEditor=function(t,e,r){var i=(n.nestedProperty(t,e).get()||[]).length,a=r._index,o=a>=i&&(r._input||{})._templateitemname;o&&(a=i);var s,l=e+\"[\"+a+\"]\";function c(){s={},o&&(s[l]={},s[l].templateitemname=o)}function u(t,e){o?n.nestedProperty(s[l],t).set(e):s[l+\".\"+t]=e}function f(){var t=s;return c(),t}return c(),{modifyBase:function(t,e){s[t]=e},modifyItem:u,getUpdateObj:f,applyUpdate:function(e,r){e&&u(e,r);var i=f();for(var a in i)n.nestedProperty(t,a).set(i[a])}}}},{\"../lib\":799,\"../plots/attributes\":845}],839:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../registry\"),a=t(\"../plots/plots\"),o=t(\"../lib\"),s=t(\"../lib/clear_gl_canvases\"),l=t(\"../components/color\"),c=t(\"../components/drawing\"),u=t(\"../components/titles\"),f=t(\"../components/modebar\"),h=t(\"../plots/cartesian/axes\"),p=t(\"../constants/alignment\"),d=t(\"../plots/cartesian/constraints\"),m=d.enforce,g=d.clean,v=t(\"../plots/cartesian/autorange\").doAutoRange;function y(t,e,r){for(var n=0;n<r.length;n++){var i=r[n][0],a=r[n][1];if(!(i[0]>=t[1]||i[1]<=t[0])&&(a[0]<e[1]&&a[1]>e[0]))return!0}return!1}function x(t){var e,i,s,u,d,m,g=t._fullLayout,v=g._size,x=v.p,_=h.list(t,\"\",!0);if(g._paperdiv.style({width:t._context.responsive&&g.autosize&&!t._context._hasZeroWidth&&!t.layout.width?\"100%\":g.width+\"px\",height:t._context.responsive&&g.autosize&&!t._context._hasZeroHeight&&!t.layout.height?\"100%\":g.height+\"px\"}).selectAll(\".main-svg\").call(c.setSize,g.width,g.height),t._context.setBackground(t,g.paper_bgcolor),r.drawMainTitle(t),f.manage(t),!g._has(\"cartesian\"))return a.previousPromises(t);function T(t,e,r){var n=t._lw/2;return\"x\"===t._id.charAt(0)?e?\"top\"===r?e._offset-x-n:e._offset+e._length+x+n:v.t+v.h*(1-(t.position||0))+n%1:e?\"right\"===r?e._offset+e._length+x+n:e._offset-x-n:v.l+v.w*(t.position||0)+n%1}for(e=0;e<_.length;e++){var k=(u=_[e])._anchorAxis;u._linepositions={},u._lw=c.crispRound(t,u.linewidth,1),u._mainLinePosition=T(u,k,u.side),u._mainMirrorPosition=u.mirror&&k?T(u,k,p.OPPOSITE_SIDE[u.side]):null}var M=[],A=[],S=[],E=1===l.opacity(g.paper_bgcolor)&&1===l.opacity(g.plot_bgcolor)&&g.paper_bgcolor===g.plot_bgcolor;for(i in g._plots)if((s=g._plots[i]).mainplot)s.bg&&s.bg.remove(),s.bg=void 0;else{var L=s.xaxis.domain,C=s.yaxis.domain,P=s.plotgroup;if(y(L,C,S)){var I=P.node(),O=s.bg=o.ensureSingle(P,\"rect\",\"bg\");I.insertBefore(O.node(),I.childNodes[0]),A.push(i)}else P.select(\"rect.bg\").remove(),S.push([L,C]),E||(M.push(i),A.push(i))}var z,D,R,F,B,N,j,U,V,q,H,G,Y,W=g._bgLayer.selectAll(\".bg\").data(M);for(W.enter().append(\"rect\").classed(\"bg\",!0),W.exit().remove(),W.each((function(t){g._plots[t].bg=n.select(this)})),e=0;e<A.length;e++)s=g._plots[A[e]],d=s.xaxis,m=s.yaxis,s.bg&&void 0!==d._offset&&void 0!==m._offset&&s.bg.call(c.setRect,d._offset-x,m._offset-x,d._length+2*x,m._length+2*x).call(l.fill,g.plot_bgcolor).style(\"stroke-width\",0);if(!g._hasOnlyLargeSploms)for(i in g._plots){s=g._plots[i],d=s.xaxis,m=s.yaxis;var X,Z,J=s.clipId=\"clip\"+g._uid+i+\"plot\",K=o.ensureSingleById(g._clips,\"clipPath\",J,(function(t){t.classed(\"plotclip\",!0).append(\"rect\")}));s.clipRect=K.select(\"rect\").attr({width:d._length,height:m._length}),c.setTranslate(s.plot,d._offset,m._offset),s._hasClipOnAxisFalse?(X=null,Z=J):(X=J,Z=null),c.setClipUrl(s.plot,X,t),s.layerClipId=Z}function Q(t){return\"M\"+z+\",\"+t+\"H\"+D}function $(t){return\"M\"+d._offset+\",\"+t+\"h\"+d._length}function tt(t){return\"M\"+t+\",\"+U+\"V\"+j}function et(t){return\"M\"+t+\",\"+m._offset+\"v\"+m._length}function rt(t,e,r){if(!t.showline||i!==t._mainSubplot)return\"\";if(!t._anchorAxis)return r(t._mainLinePosition);var n=e(t._mainLinePosition);return t.mirror&&(n+=e(t._mainMirrorPosition)),n}for(i in g._plots){s=g._plots[i],d=s.xaxis,m=s.yaxis;var nt=\"M0,0\";b(d,i)&&(B=w(d,\"left\",m,_),z=d._offset-(B?x+B:0),N=w(d,\"right\",m,_),D=d._offset+d._length+(N?x+N:0),R=T(d,m,\"bottom\"),F=T(d,m,\"top\"),!(Y=!d._anchorAxis||i!==d._mainSubplot)||\"allticks\"!==d.mirror&&\"all\"!==d.mirror||(d._linepositions[i]=[R,F]),nt=rt(d,Q,$),Y&&d.showline&&(\"all\"===d.mirror||\"allticks\"===d.mirror)&&(nt+=Q(R)+Q(F)),s.xlines.style(\"stroke-width\",d._lw+\"px\").call(l.stroke,d.showline?d.linecolor:\"rgba(0,0,0,0)\")),s.xlines.attr(\"d\",nt);var it=\"M0,0\";b(m,i)&&(H=w(m,\"bottom\",d,_),j=m._offset+m._length+(H?x:0),G=w(m,\"top\",d,_),U=m._offset-(G?x:0),V=T(m,d,\"left\"),q=T(m,d,\"right\"),!(Y=!m._anchorAxis||i!==m._mainSubplot)||\"allticks\"!==m.mirror&&\"all\"!==m.mirror||(m._linepositions[i]=[V,q]),it=rt(m,tt,et),Y&&m.showline&&(\"all\"===m.mirror||\"allticks\"===m.mirror)&&(it+=tt(V)+tt(q)),s.ylines.style(\"stroke-width\",m._lw+\"px\").call(l.stroke,m.showline?m.linecolor:\"rgba(0,0,0,0)\")),s.ylines.attr(\"d\",it)}return h.makeClipPaths(t),a.previousPromises(t)}function b(t,e){return(t.ticks||t.showline)&&(e===t._mainSubplot||\"all\"===t.mirror||\"allticks\"===t.mirror)}function _(t,e,r){if(!r.showline||!r._lw)return!1;if(\"all\"===r.mirror||\"allticks\"===r.mirror)return!0;var n=r._anchorAxis;if(!n)return!1;var i=p.FROM_BL[e];return r.side===e?n.domain[i]===t.domain[i]:r.mirror&&n.domain[1-i]===t.domain[1-i]}function w(t,e,r,n){if(_(t,e,r))return r._lw;for(var i=0;i<n.length;i++){var a=n[i];if(a._mainAxis===r._mainAxis&&_(t,e,a))return a._lw}return 0}function T(t,e){var r=t.title,n=t._size,i=0;switch(\"start\"===e?i=r.pad.l:\"end\"===e&&(i=-r.pad.r),r.xref){case\"paper\":return n.l+n.w*r.x+i;case\"container\":default:return t.width*r.x+i}}function k(t,e){var r=t.title,n=t._size,i=0;if(\"0em\"!==e&&e?e===p.CAP_SHIFT+\"em\"&&(i=r.pad.t):i=-r.pad.b,\"auto\"===r.y)return n.t/2;switch(r.yref){case\"paper\":return n.t+n.h-n.h*r.y+i;case\"container\":default:return t.height-t.height*r.y+i}}r.layoutStyles=function(t){return o.syncOrAsync([a.doAutoMargin,x],t)},r.drawMainTitle=function(t){var e=t._fullLayout,r=function(t){var e=t.title,r=\"middle\";o.isRightAnchor(e)?r=\"end\":o.isLeftAnchor(e)&&(r=\"start\");return r}(e),n=function(t){var e=t.title,r=\"0em\";o.isTopAnchor(e)?r=p.CAP_SHIFT+\"em\":o.isMiddleAnchor(e)&&(r=p.MID_SHIFT+\"em\");return r}(e);u.draw(t,\"gtitle\",{propContainer:e,propName:\"title.text\",placeholder:e._dfltTitle.plot,attributes:{x:T(e,r),y:k(e,n),\"text-anchor\":r,dy:n}})},r.doTraceStyle=function(t){var e,n=t.calcdata,o=[];for(e=0;e<n.length;e++){var l=n[e],c=l[0]||{},u=c.trace||{},f=u._module||{},h=f.arraysToCalcdata;h&&h(l,u);var p=f.editStyle;p&&o.push({fn:p,cd0:c})}if(o.length){for(e=0;e<o.length;e++){var d=o[e];d.fn(t,d.cd0)}s(t),r.redrawReglTraces(t)}return a.style(t),i.getComponentMethod(\"legend\",\"draw\")(t),a.previousPromises(t)},r.doColorBars=function(t){return i.getComponentMethod(\"colorbar\",\"draw\")(t),a.previousPromises(t)},r.layoutReplot=function(t){var e=t.layout;return t.layout=void 0,i.call(\"_doPlot\",t,\"\",e)},r.doLegend=function(t){return i.getComponentMethod(\"legend\",\"draw\")(t),a.previousPromises(t)},r.doTicksRelayout=function(t){return h.draw(t,\"redraw\"),t._fullLayout._hasOnlyLargeSploms&&(i.subplotsRegistry.splom.updateGrid(t),s(t),r.redrawReglTraces(t)),r.drawMainTitle(t),a.previousPromises(t)},r.doModeBar=function(t){var e=t._fullLayout;f.manage(t);for(var r=0;r<e._basePlotModules.length;r++){var n=e._basePlotModules[r].updateFx;n&&n(t)}return a.previousPromises(t)},r.doCamera=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){var i=e[r[n]];i._scene.setViewport(i)}},r.drawData=function(t){var e=t._fullLayout;s(t);for(var n=e._basePlotModules,o=0;o<n.length;o++)n[o].plot(t);return r.redrawReglTraces(t),a.style(t),i.getComponentMethod(\"shapes\",\"draw\")(t),i.getComponentMethod(\"annotations\",\"draw\")(t),i.getComponentMethod(\"images\",\"draw\")(t),e._replotting=!1,a.previousPromises(t)},r.redrawReglTraces=function(t){var e=t._fullLayout;if(e._has(\"regl\")){var r,n,i=t._fullData,a=[],s=[];for(e._hasOnlyLargeSploms&&e._splomGrid.draw(),r=0;r<i.length;r++){var l=i[r];!0===l.visible&&0!==l._length&&(\"splom\"===l.type?e._splomScenes[l.uid].draw():\"scattergl\"===l.type?o.pushUnique(a,l.xaxis+l.yaxis):\"scatterpolargl\"===l.type&&o.pushUnique(s,l.subplot))}for(r=0;r<a.length;r++)(n=e._plots[a[r]])._scene&&n._scene.draw();for(r=0;r<s.length;r++)(n=e[s[r]]._subplot)._scene&&n._scene.draw()}},r.doAutoRangeAndConstraints=function(t){for(var e,r=h.list(t,\"\",!0),n={},i=0;i<r.length;i++)if(!n[(e=r[i])._id]){n[e._id]=1,g(t,e),v(t,e);var a=e._matchGroup;if(a)for(var o in a){var s=h.getFromId(t,o);v(t,s,e.range),n[o]=1}}m(t)},r.finalDraw=function(t){i.getComponentMethod(\"rangeslider\",\"draw\")(t),i.getComponentMethod(\"rangeselector\",\"draw\")(t)},r.drawMarginPushers=function(t){i.getComponentMethod(\"legend\",\"draw\")(t),i.getComponentMethod(\"rangeselector\",\"draw\")(t),i.getComponentMethod(\"sliders\",\"draw\")(t),i.getComponentMethod(\"updatemenus\",\"draw\")(t),i.getComponentMethod(\"colorbar\",\"draw\")(t)}},{\"../components/color\":662,\"../components/drawing\":684,\"../components/modebar\":725,\"../components/titles\":760,\"../constants/alignment\":767,\"../lib\":799,\"../lib/clear_gl_canvases\":783,\"../plots/cartesian/autorange\":848,\"../plots/cartesian/axes\":849,\"../plots/cartesian/constraints\":857,\"../plots/plots\":913,\"../registry\":927,\"@plotly/d3\":58}],840:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=n.isPlainObject,a=t(\"./plot_schema\"),o=t(\"../plots/plots\"),s=t(\"../plots/attributes\"),l=t(\"./plot_template\"),c=t(\"./plot_config\").dfltConfig;function u(t,e){t=n.extendDeep({},t);var r,a,o=Object.keys(t).sort();function s(e,r,n){if(i(r)&&i(e))u(e,r);else if(Array.isArray(r)&&Array.isArray(e)){var o=l.arrayTemplater({_template:t},n);for(a=0;a<r.length;a++){var s=r[a],c=o.newItem(s)._template;c&&u(c,s)}var f=o.defaultItems();for(a=0;a<f.length;a++)r.push(f[a]._template);for(a=0;a<r.length;a++)delete r[a].templateitemname}}for(r=0;r<o.length;r++){var c=o[r],h=t[c];if(c in e?s(h,e[c],c):e[c]=h,f(c)===c)for(var p in e){var d=f(p);p===d||d!==c||p in t||s(h,e[p],c)}}}function f(t){return t.replace(/[0-9]+$/,\"\")}function h(t,e,r,a,o){var s=o&&r(o);for(var c in t){var u=t[c],p=m(t,c,a),d=m(t,c,o),g=r(d);if(!g){var v=f(c);v!==c&&(g=r(d=m(t,v,o)))}if((!s||s!==g)&&!(!g||g._noTemplating||\"data_array\"===g.valType||g.arrayOk&&Array.isArray(u)))if(!g.valType&&i(u))h(u,e,r,p,d);else if(g._isLinkedToArray&&Array.isArray(u))for(var y=!1,x=0,b={},_=0;_<u.length;_++){var w=u[_];if(i(w)){var T=w.name;if(T)b[T]||(h(w,e,r,m(u,x,p),m(u,x,d)),x++,b[T]=1);else if(!y){var k=m(t,l.arrayDefaultKey(c),a),M=m(u,x,p);h(w,e,r,M,m(u,x,d));var A=n.nestedProperty(e,M);n.nestedProperty(e,k).set(A.get()),A.set(null),y=!0}}}else{n.nestedProperty(e,p).set(u)}}}function p(t,e){return a.getLayoutValObject(t,n.nestedProperty({},e).parts)}function d(t,e){return a.getTraceValObject(t,n.nestedProperty({},e).parts)}function m(t,e,r){return r?Array.isArray(t)?r+\"[\"+e+\"]\":r+\".\"+e:e}function g(t){for(var e=0;e<t.length;e++)if(i(t[e]))return!0}function v(t){var e;switch(t.code){case\"data\":e=\"The template has no key data.\";break;case\"layout\":e=\"The template has no key layout.\";break;case\"missing\":e=t.path?\"There are no templates for item \"+t.path+\" with name \"+t.templateitemname:\"There are no templates for trace \"+t.index+\", of type \"+t.traceType+\".\";break;case\"unused\":e=t.path?\"The template item at \"+t.path+\" was not used in constructing the plot.\":t.dataCount?\"Some of the templates of type \"+t.traceType+\" were not used. The template has \"+t.templateCount+\" traces, the data only has \"+t.dataCount+\" of this type.\":\"The template has \"+t.templateCount+\" traces of type \"+t.traceType+\" but there are none in the data.\";break;case\"reused\":e=\"Some of the templates of type \"+t.traceType+\" were used more than once. The template has \"+t.templateCount+\" traces, the data has \"+t.dataCount+\" of this type.\"}return t.msg=e,t}r.makeTemplate=function(t){t=n.isPlainObject(t)?t:n.getGraphDiv(t),t=n.extendDeep({_context:c},{data:t.data,layout:t.layout}),o.supplyDefaults(t);var e=t.data||[],r=t.layout||{};r._basePlotModules=t._fullLayout._basePlotModules,r._modules=t._fullLayout._modules;var a={data:{},layout:{}};e.forEach((function(t){var e={};h(t,e,d.bind(null,t));var r=n.coerce(t,{},s,\"type\"),i=a.data[r];i||(i=a.data[r]=[]),i.push(e)})),h(r,a.layout,p.bind(null,r)),delete a.layout.template;var l=r.template;if(i(l)){var f,m,g,v,y,x,b=l.layout;i(b)&&u(b,a.layout);var _=l.data;if(i(_)){for(m in a.data)if(g=_[m],Array.isArray(g)){for(x=(y=a.data[m]).length,v=g.length,f=0;f<x;f++)u(g[f%v],y[f]);for(f=x;f<v;f++)y.push(n.extendDeep({},g[f]))}for(m in _)m in a.data||(a.data[m]=n.extendDeep([],_[m]))}}return a},r.validateTemplate=function(t,e){var r=n.extendDeep({},{_context:c,data:t.data,layout:t.layout}),a=r.layout||{};i(e)||(e=a.template||{});var s=e.layout,l=e.data,u=[];r.layout=a,r.layout.template=e,o.supplyDefaults(r);var h=r._fullLayout,p=r._fullData,d={};if(i(s)?(!function t(e,r){for(var n in e)if(\"_\"!==n.charAt(0)&&i(e[n])){var a,o=f(n),s=[];for(a=0;a<r.length;a++)s.push(m(e,n,r[a])),o!==n&&s.push(m(e,o,r[a]));for(a=0;a<s.length;a++)d[s[a]]=1;t(e[n],s)}}(h,[\"layout\"]),function t(e,r){for(var n in e)if(-1===n.indexOf(\"defaults\")&&i(e[n])){var a=m(e,n,r);d[a]?t(e[n],a):u.push({code:\"unused\",path:a})}}(s,\"layout\")):u.push({code:\"layout\"}),i(l)){for(var y,x={},b=0;b<p.length;b++){var _=p[b];x[y=_.type]=(x[y]||0)+1,_._fullInput._template||u.push({code:\"missing\",index:_._fullInput.index,traceType:y})}for(y in l){var w=l[y].length,T=x[y]||0;w>T?u.push({code:\"unused\",traceType:y,templateCount:w,dataCount:T}):T>w&&u.push({code:\"reused\",traceType:y,templateCount:w,dataCount:T})}}else u.push({code:\"data\"});if(function t(e,r){for(var n in e)if(\"_\"!==n.charAt(0)){var a=e[n],o=m(e,n,r);i(a)?(Array.isArray(e)&&!1===a._template&&a.templateitemname&&u.push({code:\"missing\",path:o,templateitemname:a.templateitemname}),t(a,o)):Array.isArray(a)&&g(a)&&t(a,o)}}({data:p,layout:h},\"\"),u.length)return u.map(v)}},{\"../lib\":799,\"../plots/attributes\":845,\"../plots/plots\":913,\"./plot_config\":836,\"./plot_schema\":837,\"./plot_template\":838}],841:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"./plot_api\"),a=t(\"../plots/plots\"),o=t(\"../lib\"),s=t(\"../snapshot/helpers\"),l=t(\"../snapshot/tosvg\"),c=t(\"../snapshot/svgtoimg\"),u=t(\"../version\").version,f={format:{valType:\"enumerated\",values:[\"png\",\"jpeg\",\"webp\",\"svg\",\"full-json\"],dflt:\"png\"},width:{valType:\"number\",min:1},height:{valType:\"number\",min:1},scale:{valType:\"number\",min:0,dflt:1},setBackground:{valType:\"any\",dflt:!1},imageDataOnly:{valType:\"boolean\",dflt:!1}};e.exports=function(t,e){var r,h,p,d;function m(t){return!(t in e)||o.validate(e[t],f[t])}if(e=e||{},o.isPlainObject(t)?(r=t.data||[],h=t.layout||{},p=t.config||{},d={}):(t=o.getGraphDiv(t),r=o.extendDeep([],t.data),h=o.extendDeep({},t.layout),p=t._context,d=t._fullLayout||{}),!m(\"width\")&&null!==e.width||!m(\"height\")&&null!==e.height)throw new Error(\"Height and width should be pixel values.\");if(!m(\"format\"))throw new Error(\"Export format is not \"+o.join2(f.format.values,\", \",\" or \")+\".\");var g={};function v(t,r){return o.coerce(e,g,f,t,r)}var y=v(\"format\"),x=v(\"width\"),b=v(\"height\"),_=v(\"scale\"),w=v(\"setBackground\"),T=v(\"imageDataOnly\"),k=document.createElement(\"div\");k.style.position=\"absolute\",k.style.left=\"-5000px\",document.body.appendChild(k);var M=o.extendFlat({},h);x?M.width=x:null===e.width&&n(d.width)&&(M.width=d.width),b?M.height=b:null===e.height&&n(d.height)&&(M.height=d.height);var A=o.extendFlat({},p,{_exportedPlot:!0,staticPlot:!0,setBackground:w}),S=s.getRedrawFunc(k);function E(){return new Promise((function(t){setTimeout(t,s.getDelay(k._fullLayout))}))}function L(){return new Promise((function(t,e){var r=l(k,y,_),n=k._fullLayout.width,f=k._fullLayout.height;function h(){i.purge(k),document.body.removeChild(k)}if(\"full-json\"===y){var p=a.graphJson(k,!1,\"keepdata\",\"object\",!0,!0);return p.version=u,p=JSON.stringify(p),h(),t(T?p:s.encodeJSON(p))}if(h(),\"svg\"===y)return t(T?r:s.encodeSVG(r));var d=document.createElement(\"canvas\");d.id=o.randstr(),c({format:y,width:n,height:f,scale:_,canvas:d,svg:r,promise:!0}).then(t).catch(e)}))}return new Promise((function(t,e){i.newPlot(k,r,M,A).then(S).then(E).then(L).then((function(e){t(function(t){return T?t.replace(s.IMAGE_URL_PREFIX,\"\"):t}(e))})).catch((function(t){e(t)}))}))}},{\"../lib\":799,\"../plots/plots\":913,\"../snapshot/helpers\":931,\"../snapshot/svgtoimg\":933,\"../snapshot/tosvg\":935,\"../version\":1400,\"./plot_api\":835,\"fast-isnumeric\":245}],842:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../plots/plots\"),a=t(\"./plot_schema\"),o=t(\"./plot_config\").dfltConfig,s=n.isPlainObject,l=Array.isArray,c=n.isArrayOrTypedArray;function u(t,e,r,i,a,o){o=o||[];for(var f=Object.keys(t),h=0;h<f.length;h++){var p=f[h];if(\"transforms\"!==p){var v=o.slice();v.push(p);var y=t[p],x=e[p],b=g(r,p),_=(b||{}).valType,w=\"info_array\"===_,T=\"colorscale\"===_,k=(b||{}).items;if(m(r,p))if(s(y)&&s(x)&&\"any\"!==_)u(y,x,b,i,a,v);else if(w&&l(y)){y.length>x.length&&i.push(d(\"unused\",a,v.concat(x.length)));var M,A,S,E,L,C=x.length,P=Array.isArray(k);if(P&&(C=Math.min(C,k.length)),2===b.dimensions)for(A=0;A<C;A++)if(l(y[A])){y[A].length>x[A].length&&i.push(d(\"unused\",a,v.concat(A,x[A].length)));var I=x[A].length;for(M=0;M<(P?Math.min(I,k[A].length):I);M++)S=P?k[A][M]:k,E=y[A][M],L=x[A][M],n.validate(E,S)?L!==E&&L!==+E&&i.push(d(\"dynamic\",a,v.concat(A,M),E,L)):i.push(d(\"value\",a,v.concat(A,M),E))}else i.push(d(\"array\",a,v.concat(A),y[A]));else for(A=0;A<C;A++)S=P?k[A]:k,E=y[A],L=x[A],n.validate(E,S)?L!==E&&L!==+E&&i.push(d(\"dynamic\",a,v.concat(A),E,L)):i.push(d(\"value\",a,v.concat(A),E))}else if(b.items&&!w&&l(y)){var O,z,D=k[Object.keys(k)[0]],R=[];for(O=0;O<x.length;O++){var F=x[O]._index||O;if((z=v.slice()).push(F),s(y[F])&&s(x[O])){R.push(F);var B=y[F],N=x[O];s(B)&&!1!==B.visible&&!1===N.visible?i.push(d(\"invisible\",a,z)):u(B,N,D,i,a,z)}}for(O=0;O<y.length;O++)(z=v.slice()).push(O),s(y[O])?-1===R.indexOf(O)&&i.push(d(\"unused\",a,z)):i.push(d(\"object\",a,z,y[O]))}else!s(y)&&s(x)?i.push(d(\"object\",a,v,y)):c(y)||!c(x)||w||T?p in e?n.validate(y,b)?\"enumerated\"===b.valType&&(b.coerceNumber&&y!==+x||y!==x)&&i.push(d(\"dynamic\",a,v,y,x)):i.push(d(\"value\",a,v,y)):i.push(d(\"unused\",a,v,y)):i.push(d(\"array\",a,v,y));else i.push(d(\"schema\",a,v))}}return i}function f(t,e){for(var r=t.layout.layoutAttributes,i=0;i<e.length;i++){var a=e[i],o=t.traces[a.type],s=o.layoutAttributes;s&&(a.subplot?n.extendFlat(r[o.attributes.subplot.dflt],s):n.extendFlat(r,s))}return r}e.exports=function(t,e){void 0===t&&(t=[]),void 0===e&&(e={});var r,c,h=a.get(),p=[],m={_context:n.extendFlat({},o)};l(t)?(m.data=n.extendDeep([],t),r=t):(m.data=[],r=[],p.push(d(\"array\",\"data\"))),s(e)?(m.layout=n.extendDeep({},e),c=e):(m.layout={},c={},arguments.length>1&&p.push(d(\"object\",\"layout\"))),i.supplyDefaults(m);for(var g=m._fullData,v=r.length,y=0;y<v;y++){var x=r[y],b=[\"data\",y];if(s(x)){var _=g[y],w=_.type,T=h.traces[w].attributes;T.type={valType:\"enumerated\",values:[w]},!1===_.visible&&!1!==x.visible&&p.push(d(\"invisible\",b)),u(x,_,T,p,b);var k=x.transforms,M=_.transforms;if(k){l(k)||p.push(d(\"array\",b,[\"transforms\"])),b.push(\"transforms\");for(var A=0;A<k.length;A++){var S=[\"transforms\",A],E=k[A].type;if(s(k[A])){var L=h.transforms[E]?h.transforms[E].attributes:{};L.type={valType:\"enumerated\",values:Object.keys(h.transforms)},u(k[A],M[A],L,p,b,S)}else p.push(d(\"object\",b,S))}}}else p.push(d(\"object\",b))}var C=m._fullLayout,P=f(h,g);return u(c,C,P,p,\"layout\"),0===p.length?void 0:p};var h={object:function(t,e){return(\"layout\"===t&&\"\"===e?\"The layout argument\":\"data\"===t[0]&&\"\"===e?\"Trace \"+t[1]+\" in the data argument\":p(t)+\"key \"+e)+\" must be linked to an object container\"},array:function(t,e){return(\"data\"===t?\"The data argument\":p(t)+\"key \"+e)+\" must be linked to an array container\"},schema:function(t,e){return p(t)+\"key \"+e+\" is not part of the schema\"},unused:function(t,e,r){var n=s(r)?\"container\":\"key\";return p(t)+n+\" \"+e+\" did not get coerced\"},dynamic:function(t,e,r,n){return[p(t)+\"key\",e,\"(set to '\"+r+\"')\",\"got reset to\",\"'\"+n+\"'\",\"during defaults.\"].join(\" \")},invisible:function(t,e){return(e?p(t)+\"item \"+e:\"Trace \"+t[1])+\" got defaulted to be not visible\"},value:function(t,e,r){return[p(t)+\"key \"+e,\"is set to an invalid value (\"+r+\")\"].join(\" \")}};function p(t){return l(t)?\"In data trace \"+t[1]+\", \":\"In \"+t+\", \"}function d(t,e,r,i,a){var o,s;r=r||\"\",l(e)?(o=e[0],s=e[1]):(o=e,s=null);var c=function(t){if(!l(t))return String(t);for(var e=\"\",r=0;r<t.length;r++){var n=t[r];\"number\"==typeof n?e=e.substr(0,e.length-1)+\"[\"+n+\"]\":e+=n,r<t.length-1&&(e+=\".\")}return e}(r),u=h[t](e,c,i,a);return n.log(u),{code:t,container:o,trace:s,path:r,astr:c,msg:u}}function m(t,e){var r=y(e),n=r.keyMinusId,i=r.id;return!!(n in t&&t[n]._isSubplotObj&&i)||e in t}function g(t,e){return e in t?t[e]:t[y(e).keyMinusId]}var v=n.counterRegex(\"([a-z]+)\");function y(t){var e=t.match(v);return{keyMinusId:e&&e[1],id:e&&e[2]}}},{\"../lib\":799,\"../plots/plots\":913,\"./plot_config\":836,\"./plot_schema\":837}],843:[function(t,e,r){\"use strict\";e.exports={mode:{valType:\"enumerated\",dflt:\"afterall\",values:[\"immediate\",\"next\",\"afterall\"]},direction:{valType:\"enumerated\",values:[\"forward\",\"reverse\"],dflt:\"forward\"},fromcurrent:{valType:\"boolean\",dflt:!1},frame:{duration:{valType:\"number\",min:0,dflt:500},redraw:{valType:\"boolean\",dflt:!0}},transition:{duration:{valType:\"number\",min:0,dflt:500,editType:\"none\"},easing:{valType:\"enumerated\",dflt:\"cubic-in-out\",values:[\"linear\",\"quad\",\"cubic\",\"sin\",\"exp\",\"circle\",\"elastic\",\"back\",\"bounce\",\"linear-in\",\"quad-in\",\"cubic-in\",\"sin-in\",\"exp-in\",\"circle-in\",\"elastic-in\",\"back-in\",\"bounce-in\",\"linear-out\",\"quad-out\",\"cubic-out\",\"sin-out\",\"exp-out\",\"circle-out\",\"elastic-out\",\"back-out\",\"bounce-out\",\"linear-in-out\",\"quad-in-out\",\"cubic-in-out\",\"sin-in-out\",\"exp-in-out\",\"circle-in-out\",\"elastic-in-out\",\"back-in-out\",\"bounce-in-out\"],editType:\"none\"},ordering:{valType:\"enumerated\",values:[\"layout first\",\"traces first\"],dflt:\"layout first\",editType:\"none\"}}}},{}],844:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../plot_api/plot_template\");e.exports=function(t,e,r){var a,o,s=r.name,l=r.inclusionAttr||\"visible\",c=e[s],u=n.isArrayOrTypedArray(t[s])?t[s]:[],f=e[s]=[],h=i.arrayTemplater(e,s,l);for(a=0;a<u.length;a++){var p=u[a];n.isPlainObject(p)?o=h.newItem(p):(o=h.newItem({}))[l]=!1,o._index=a,!1!==o[l]&&r.handleItemDefaults(p,o,e,r),f.push(o)}var d=h.defaultItems();for(a=0;a<d.length;a++)(o=d[a])._index=f.length,r.handleItemDefaults({},o,e,r,{}),f.push(o);if(n.isArrayOrTypedArray(c)){var m=Math.min(c.length,f.length);for(a=0;a<m;a++)n.relinkPrivateKeys(f[a],c[a])}return f}},{\"../lib\":799,\"../plot_api/plot_template\":838}],845:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"../components/fx/attributes\");e.exports={type:{valType:\"enumerated\",values:[],dflt:\"scatter\",editType:\"calc+clearAxisTypes\",_noTemplating:!0},visible:{valType:\"enumerated\",values:[!0,!1,\"legendonly\"],dflt:!0,editType:\"calc\"},showlegend:{valType:\"boolean\",dflt:!0,editType:\"style\"},legendgroup:{valType:\"string\",dflt:\"\",editType:\"style\"},legendgrouptitle:{text:{valType:\"string\",dflt:\"\",editType:\"style\"},font:n({editType:\"style\"}),editType:\"style\"},legendrank:{valType:\"number\",dflt:1e3,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"style\"},name:{valType:\"string\",editType:\"style\"},uid:{valType:\"string\",editType:\"plot\",anim:!0},ids:{valType:\"data_array\",editType:\"calc\",anim:!0},customdata:{valType:\"data_array\",editType:\"calc\"},meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},selectedpoints:{valType:\"any\",editType:\"calc\"},hoverinfo:{valType:\"flaglist\",flags:[\"x\",\"y\",\"z\",\"text\",\"name\"],extras:[\"all\",\"none\",\"skip\"],arrayOk:!0,dflt:\"all\",editType:\"none\"},hoverlabel:i.hoverlabel,stream:{token:{valType:\"string\",noBlank:!0,strict:!0,editType:\"calc\"},maxpoints:{valType:\"number\",min:0,max:1e4,dflt:500,editType:\"calc\"},editType:\"calc\"},transforms:{_isLinkedToArray:\"transform\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"}}},{\"../components/fx/attributes\":693,\"./font_attributes\":878}],846:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=i.dateTime2ms,o=i.incrementMonth,s=t(\"../../constants/numerical\").ONEAVGMONTH;e.exports=function(t,e,r,i){if(\"date\"!==e.type)return i;var l=t[r+\"periodalignment\"];if(!l)return i;var c,u=t[r+\"period\"];if(n(u)){if((u=+u)<=0)return i}else if(\"string\"==typeof u&&\"M\"===u.charAt(0)){var f=+u.substring(1);if(!(f>0&&Math.round(f)===f))return i;c=f}for(var h=e.calendar,p=\"start\"===l,d=\"end\"===l,m=t[r+\"period0\"],g=a(m,h)||0,v=[],y=i.length,x=0;x<y;x++){var b,_,w,T=i[x];if(c){for(b=Math.round((T-g)/(c*s)),w=o(g,c*b,h);w>T;)w=o(w,-c,h);for(;w<=T;)w=o(w,c,h);_=o(w,-c,h)}else{for(w=g+(b=Math.round((T-g)/u))*u;w>T;)w-=u;for(;w<=T;)w+=u;_=w-u}v[x]=p?_:d?w:(_+w)/2}return v}},{\"../../constants/numerical\":775,\"../../lib\":799,\"fast-isnumeric\":245}],847:[function(t,e,r){\"use strict\";e.exports={xaxis:{valType:\"subplotid\",dflt:\"x\",editType:\"calc+clearAxisTypes\"},yaxis:{valType:\"subplotid\",dflt:\"y\",editType:\"calc+clearAxisTypes\"}}},{}],848:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../constants/numerical\").FP_SAFE,s=t(\"../../registry\"),l=t(\"../../components/drawing\"),c=t(\"./axis_ids\"),u=c.getFromId,f=c.isLinked;function h(t,e){var r,n,i=[],o=t._fullLayout,s=d(o,e,0),l=d(o,e,1),c=m(t,e),u=c.min,f=c.max;if(0===u.length||0===f.length)return a.simpleMap(e.range,e.r2l);var h=u[0].val,g=f[0].val;for(r=1;r<u.length&&h===g;r++)h=Math.min(h,u[r].val);for(r=1;r<f.length&&h===g;r++)g=Math.max(g,f[r].val);var v=!1;if(e.range){var y=a.simpleMap(e.range,e.r2l);v=y[1]<y[0]}\"reversed\"===e.autorange&&(v=!0,e.autorange=!0);var x,b,_,w,T,k,M=e.rangemode,A=\"tozero\"===M,S=\"nonnegative\"===M,E=e._length,L=E/10,C=0;for(r=0;r<u.length;r++)for(x=u[r],n=0;n<f.length;n++)(k=(b=f[n]).val-x.val-p(e,x.val,b.val))>0&&((T=E-s(x)-l(b))>L?k/T>C&&(_=x,w=b,C=k/T):k/E>C&&(_={val:x.val,nopad:1},w={val:b.val,nopad:1},C=k/E));if(h===g){var P=h-1,I=h+1;if(A)if(0===h)i=[0,1];else{var O=(h>0?f:u).reduce((function(t,e){return Math.max(t,l(e))}),0),z=h/(1-Math.min(.5,O/E));i=h>0?[0,z]:[z,0]}else i=S?[Math.max(0,P),Math.max(1,I)]:[P,I]}else A?(_.val>=0&&(_={val:0,nopad:1}),w.val<=0&&(w={val:0,nopad:1})):S&&(_.val-C*s(_)<0&&(_={val:0,nopad:1}),w.val<=0&&(w={val:1,nopad:1})),C=(w.val-_.val-p(e,x.val,b.val))/(E-s(_)-l(w)),i=[_.val-C*s(_),w.val+C*l(w)];return v&&i.reverse(),a.simpleMap(i,e.l2r||Number)}function p(t,e,r){var n=0;if(t.rangebreaks)for(var i=t.locateBreaks(e,r),a=0;a<i.length;a++){var o=i[a];n+=o.max-o.min}return n}function d(t,e,r){var i=.05*e._length,o=e._anchorAxis||{};if(-1!==(e.ticklabelposition||\"\").indexOf(\"inside\")||-1!==(o.ticklabelposition||\"\").indexOf(\"inside\")){var s=\"reversed\"===e.autorange;if(!s){var c=a.simpleMap(e.range,e.r2l);s=c[1]<c[0]}s&&(r=!r)}var u=0;return f(t,e._id)||(u=function(t,e,r){var i=0,o=\"x\"===e._id.charAt(0);for(var s in t._plots){var c=t._plots[s];if(e._id===c.xaxis._id||e._id===c.yaxis._id){var u=(o?c.yaxis:c.xaxis)||{};if(-1!==(u.ticklabelposition||\"\").indexOf(\"inside\")&&(!r&&(\"left\"===u.side||\"bottom\"===u.side)||r&&(\"top\"===u.side||\"right\"===u.side))){if(u._vals){var f=a.deg2rad(u._tickAngles[u._id+\"tick\"]||0),h=Math.abs(Math.cos(f)),p=Math.abs(Math.sin(f));if(!u._vals[0].bb){var d=u._id+\"tick\";u._selections[d].each((function(t){var e=n.select(this);e.select(\".text-math-group\").empty()&&(t.bb=l.bBox(e.node()))}))}for(var m=0;m<u._vals.length;m++){var g=u._vals[m].bb;if(g){var v=6+g.width,y=6+g.height;i=Math.max(i,o?Math.max(v*h,y*p):Math.max(y*h,v*p))}}}\"inside\"===u.ticks&&\"inside\"===u.ticklabelposition&&(i+=u.ticklen||0)}}}return i}(t,e,r)),i=Math.max(u,i),\"domain\"===e.constrain&&e._inputDomain&&(i*=(e._inputDomain[1]-e._inputDomain[0])/(e.domain[1]-e.domain[0])),function(t){return t.nopad?0:t.pad+(t.extrapad?i:u)}}e.exports={getAutoRange:h,makePadFn:d,doAutoRange:function(t,e,r){if(e.setScale(),e.autorange){e.range=r?r.slice():h(t,e),e._r=e.range.slice(),e._rl=a.simpleMap(e._r,e.r2l);var n=e._input,i={};i[e._attr+\".range\"]=e.range,i[e._attr+\".autorange\"]=e.autorange,s.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i),n.range=e.range.slice(),n.autorange=e.autorange}var o=e._anchorAxis;if(o&&o.rangeslider){var l=o.rangeslider[e._name];l&&\"auto\"===l.rangemode&&(l.range=h(t,e)),o._input.rangeslider[e._name]=a.extendFlat({},l)}},findExtremes:function(t,e,r){r||(r={});t._m||t.setScale();var n,a,s,l,c,u,f,h,p,d=[],m=[],y=e.length,b=r.padded||!1,_=r.tozero&&(\"linear\"===t.type||\"-\"===t.type),w=\"log\"===t.type,T=!1,k=r.vpadLinearized||!1;function M(t){if(Array.isArray(t))return T=!0,function(e){return Math.max(Number(t[e]||0),0)};var e=Math.max(Number(t||0),0);return function(){return e}}var A=M((t._m>0?r.ppadplus:r.ppadminus)||r.ppad||0),S=M((t._m>0?r.ppadminus:r.ppadplus)||r.ppad||0),E=M(r.vpadplus||r.vpad),L=M(r.vpadminus||r.vpad);if(!T){if(h=1/0,p=-1/0,w)for(n=0;n<y;n++)(a=e[n])<h&&a>0&&(h=a),a>p&&a<o&&(p=a);else for(n=0;n<y;n++)(a=e[n])<h&&a>-o&&(h=a),a>p&&a<o&&(p=a);e=[h,p],y=2}var C={tozero:_,extrapad:b};function P(r){s=e[r],i(s)&&(u=A(r),f=S(r),k?(l=t.c2l(s)-L(r),c=t.c2l(s)+E(r)):(h=s-L(r),p=s+E(r),w&&h<p/10&&(h=p/10),l=t.c2l(h),c=t.c2l(p)),_&&(l=Math.min(0,l),c=Math.max(0,c)),x(l)&&g(d,l,f,C),x(c)&&v(m,c,u,C))}var I=Math.min(6,y);for(n=0;n<I;n++)P(n);for(n=y-1;n>=I;n--)P(n);return{min:d,max:m,opts:r}},concatExtremes:m};function m(t,e,r){var n,i,a,o=e._id,s=t._fullData,l=t._fullLayout,c=[],f=[];function h(t,e){for(n=0;n<e.length;n++){var r=t[e[n]],s=(r._extremes||{})[o];if(!0===r.visible&&s){for(i=0;i<s.min.length;i++)a=s.min[i],g(c,a.val,a.pad,{extrapad:a.extrapad});for(i=0;i<s.max.length;i++)a=s.max[i],v(f,a.val,a.pad,{extrapad:a.extrapad})}}}if(h(s,e._traceIndices),h(l.annotations||[],e._annIndices||[]),h(l.shapes||[],e._shapeIndices||[]),e._matchGroup&&!r)for(var p in e._matchGroup)if(p!==e._id){var d=u(t,p),y=m(t,d,!0),x=e._length/d._length;for(i=0;i<y.min.length;i++)a=y.min[i],g(c,a.val,a.pad*x,{extrapad:a.extrapad});for(i=0;i<y.max.length;i++)a=y.max[i],v(f,a.val,a.pad*x,{extrapad:a.extrapad})}return{min:c,max:f}}function g(t,e,r,n){y(t,e,r,n,b)}function v(t,e,r,n){y(t,e,r,n,_)}function y(t,e,r,n,i){for(var a=n.tozero,o=n.extrapad,s=!0,l=0;l<t.length&&s;l++){var c=t[l];if(i(c.val,e)&&c.pad>=r&&(c.extrapad||!o)){s=!1;break}i(e,c.val)&&c.pad<=r&&(o||!c.extrapad)&&(t.splice(l,1),l--)}if(s){var u=a&&0===e;t.push({val:e,pad:u?0:r,extrapad:!u&&o})}}function x(t){return i(t)&&Math.abs(t)<o}function b(t,e){return t<=e}function _(t,e){return t>=e}},{\"../../components/drawing\":684,\"../../constants/numerical\":775,\"../../lib\":799,\"../../registry\":927,\"./axis_ids\":853,\"@plotly/d3\":58,\"fast-isnumeric\":245}],849:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../lib/svg_text_utils\"),u=t(\"../../components/titles\"),f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"./layout_attributes\"),d=t(\"./clean_ticks\"),m=t(\"../../constants/numerical\"),g=m.ONEMAXYEAR,v=m.ONEAVGYEAR,y=m.ONEMINYEAR,x=m.ONEMAXQUARTER,b=m.ONEAVGQUARTER,_=m.ONEMINQUARTER,w=m.ONEMAXMONTH,T=m.ONEAVGMONTH,k=m.ONEMINMONTH,M=m.ONEWEEK,A=m.ONEDAY,S=A/2,E=m.ONEHOUR,L=m.ONEMIN,C=m.ONESEC,P=m.MINUS_SIGN,I=m.BADNUM,O={K:\"zeroline\"},z={K:\"gridline\",L:\"path\"},D={K:\"tick\",L:\"path\"},R={K:\"tick\",L:\"text\"},F=t(\"../../constants/alignment\"),B=F.MID_SHIFT,N=F.CAP_SHIFT,j=F.LINE_SPACING,U=F.OPPOSITE_SIDE,V=e.exports={};V.setConvert=t(\"./set_convert\");var q=t(\"./axis_autotype\"),H=t(\"./axis_ids\"),G=H.idSort,Y=H.isLinked;V.id2name=H.id2name,V.name2id=H.name2id,V.cleanId=H.cleanId,V.list=H.list,V.listIds=H.listIds,V.getFromId=H.getFromId,V.getFromTrace=H.getFromTrace;var W=t(\"./autorange\");V.getAutoRange=W.getAutoRange,V.findExtremes=W.findExtremes;function X(t){var e=1e-4*(t[1]-t[0]);return[t[0]-e,t[1]+e]}V.coerceRef=function(t,e,r,n,i,a){var o=n.charAt(n.length-1),l=r._fullLayout._subplots[o+\"axis\"],c=n+\"ref\",u={};return i||(i=l[0]||(\"string\"==typeof a?a:a[0])),a||(a=i),l=l.concat(l.map((function(t){return t+\" domain\"}))),u[c]={valType:\"enumerated\",values:l.concat(a?\"string\"==typeof a?[a]:a:[]),dflt:i},s.coerce(t,e,u,c)},V.getRefType=function(t){return void 0===t?t:\"paper\"===t?\"paper\":\"pixel\"===t?\"pixel\":/( domain)$/.test(t)?\"domain\":\"range\"},V.coercePosition=function(t,e,r,n,i,a){var o,l;if(\"range\"!==V.getRefType(n))o=s.ensureNumber,l=r(i,a);else{var c=V.getFromId(e,n);l=r(i,a=c.fraction2r(a)),o=c.cleanPos}t[i]=o(l)},V.cleanPosition=function(t,e,r){return(\"paper\"===r||\"pixel\"===r?s.ensureNumber:V.getFromId(e,r).cleanPos)(t)},V.redrawComponents=function(t,e){e=e||V.listIds(t);var r=t._fullLayout;function n(n,i,a,s){for(var l=o.getComponentMethod(n,i),c={},u=0;u<e.length;u++)for(var f=r[V.id2name(e[u])][a],h=0;h<f.length;h++){var p=f[h];if(!c[p]&&(l(t,p),c[p]=1,s))return}}n(\"annotations\",\"drawOne\",\"_annIndices\"),n(\"shapes\",\"drawOne\",\"_shapeIndices\"),n(\"images\",\"draw\",\"_imgIndices\",!0)};var Z=V.getDataConversions=function(t,e,r,n){var i,a=\"x\"===r||\"y\"===r||\"z\"===r?r:n;if(Array.isArray(a)){if(i={type:q(n,void 0,{autotypenumbers:t._fullLayout.autotypenumbers}),_categories:[]},V.setConvert(i),\"category\"===i.type)for(var o=0;o<n.length;o++)i.d2c(n[o])}else i=V.getFromTrace(t,e,a);return i?{d2c:i.d2c,c2d:i.c2d}:\"ids\"===a?{d2c:K,c2d:K}:{d2c:J,c2d:J}};function J(t){return+t}function K(t){return String(t)}function Q(t){return+t.substring(1)}V.getDataToCoordFunc=function(t,e,r,n){return Z(t,e,r,n).d2c},V.counterLetter=function(t){var e=t.charAt(0);return\"x\"===e?\"y\":\"y\"===e?\"x\":void 0},V.minDtick=function(t,e,r,n){-1===[\"log\",\"category\",\"multicategory\"].indexOf(t.type)&&n?void 0===t._minDtick?(t._minDtick=e,t._forceTick0=r):t._minDtick&&((t._minDtick/e+1e-6)%1<2e-6&&((r-t._forceTick0)/e%1+1.000001)%1<2e-6?(t._minDtick=e,t._forceTick0=r):((e/t._minDtick+1e-6)%1>2e-6||((r-t._forceTick0)/t._minDtick%1+1.000001)%1>2e-6)&&(t._minDtick=0)):t._minDtick=0},V.saveRangeInitial=function(t,e){for(var r=V.list(t,\"\",!0),n=!1,i=0;i<r.length;i++){var a=r[i],o=void 0===a._rangeInitial,s=o||!(a.range[0]===a._rangeInitial[0]&&a.range[1]===a._rangeInitial[1]);(o&&!1===a.autorange||e&&s)&&(a._rangeInitial=a.range.slice(),n=!0)}return n},V.saveShowSpikeInitial=function(t,e){for(var r=V.list(t,\"\",!0),n=!1,i=\"on\",a=0;a<r.length;a++){var o=r[a],s=void 0===o._showSpikeInitial,l=s||!(o.showspikes===o._showspikes);(s||e&&l)&&(o._showSpikeInitial=o.showspikes,n=!0),\"on\"!==i||o.showspikes||(i=\"off\")}return t._fullLayout._cartesianSpikesEnabled=i,n},V.autoBin=function(t,e,r,n,a,o){var l,c=s.aggNums(Math.min,null,t),u=s.aggNums(Math.max,null,t);if(\"category\"===e.type||\"multicategory\"===e.type)return{start:c-.5,end:u+.5,size:Math.max(1,Math.round(o)||1),_dataSpan:u-c};if(a||(a=e.calendar),l=\"log\"===e.type?{type:\"linear\",range:[c,u]}:{type:e.type,range:s.simpleMap([c,u],e.c2r,0,a),calendar:a},V.setConvert(l),o=o&&d.dtick(o,l.type))l.dtick=o,l.tick0=d.tick0(void 0,l.type,a);else{var f;if(r)f=(u-c)/r;else{var h=s.distinctVals(t),p=Math.pow(10,Math.floor(Math.log(h.minDiff)/Math.LN10)),m=p*s.roundUp(h.minDiff/p,[.9,1.9,4.9,9.9],!0);f=Math.max(m,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),i(f)||(f=1)}V.autoTicks(l,f)}var g,v=l.dtick,y=V.tickIncrement(V.tickFirst(l),v,\"reverse\",a);if(\"number\"==typeof v)g=(y=function(t,e,r,n,a){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var f=0;f<e.length;f++)e[f]%1==0?l++:i(e[f])||c++,u(e[f])&&o++,u(e[f]+r.dtick/2)&&s++;var h=e.length-c;if(l===h&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*h&&(o>.3*h||u(n)||u(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for(\"M\"===l.dtick.charAt(0)&&(y=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=V.tickIncrement(t,\"M6\",\"reverse\")+1.5*A:a.exactMonths>.8?t=V.tickIncrement(t,\"M1\",\"reverse\")+15.5*A:t-=S;var l=V.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,a)),g=y,0;g<=u;)g=V.tickIncrement(g,v,!1,a);return{start:e.c2r(y,0,a),end:e.c2r(g,0,a),size:v,_dataSpan:u-c}},V.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(t._dtickInit=t.dtick,t._tick0Init=t.tick0,\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?s.bigFont(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,V.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}\"period\"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||\"M\"!==t.dtick.charAt(0))}var n=r(),a=V.getTickFormat(t);if(a){var o=t._dtickInit!==t.dtick;/%[fLQsSMX]/.test(a)||(/%[HI]/.test(a)?(e=E,o&&!n&&t.dtick<E&&(t.dtick=E)):/%p/.test(a)?(e=S,o&&!n&&t.dtick<S&&(t.dtick=S)):/%[Aadejuwx]/.test(a)?(e=A,o&&!n&&t.dtick<A&&(t.dtick=A)):/%[UVW]/.test(a)?(e=M,o&&!n&&t.dtick<M&&(t.dtick=M)):/%[Bbm]/.test(a)?(e=T,o&&(n?Q(t.dtick)<1:t.dtick<k)&&(t.dtick=\"M1\")):/%[q]/.test(a)?(e=b,o&&(n?Q(t.dtick)<3:t.dtick<_)&&(t.dtick=\"M3\")):/%[Yy]/.test(a)&&(e=v,o&&(n?Q(t.dtick)<12:t.dtick<y)&&(t.dtick=\"M12\")))}(n=r())&&t.tick0===t._dowTick0&&(t.tick0=t._rawTick0);t._definedDelta=e}(t),t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),st(t)},V.calcTicks=function(t,e){V.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"array\"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),i=X(s.simpleMap(t.range,t.r2l)),a=Math.min(i[0],i[1]),o=Math.max(i[0],i[1]),l=0;Array.isArray(r)||(r=[]);var c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var f=c(e[u]);f>a&&f<o&&(void 0===r[u]?n[l]=V.tickText(t,f):n[l]=lt(t,f,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==I})));return n}(t);var n=X(r),a=n[0],o=n[1],l=r[1]<r[0],c=Math.min(r[0],r[1]),u=Math.max(r[0],r[1]),f=\"log\"===t.type&&!(i(t.dtick)||\"L\"===t.dtick.charAt(0)),h=\"period\"===t.ticklabelmode;if(t._tmin=V.tickFirst(t,e),t._tmin<a!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var p=t._tmin;t.rangebreaks&&t._tick0Init!==t.tick0&&(p=At(p,t),l||(p=V.tickIncrement(p,t.dtick,!l,t.calendar))),h&&(p=V.tickIncrement(p,t.dtick,!l,t.calendar));for(var d,m=Math.max(1e3,t._length||0),L=[],C=null;l?p>=o:p<=o;p=V.tickIncrement(p,t.dtick,l,t.calendar)){if(t.rangebreaks&&!l){if(p<a)continue;if(t.maskBreaks(p)===I&&At(p,t)>=u)break}if(L.length>m||p===C)break;C=p;var P=!1;f&&p!==(0|p)&&(P=!0),L.push({minor:P,value:p})}if(h&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,c=t[o].value,u=Math.abs(c-l),f=r||u,h=0;f>=y?h=u>=y&&u<=g?u:v:r===b&&f>=_?h=u>=_&&u<=x?u:b:f>=k?h=u>=k&&u<=w?u:T:r===M&&f>=M?h=M:f>=A?h=A:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=u&&(h=u,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,m=0;m<84;m++){var L=(m+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==I&&d++}(h*=d/84)||(t[n].drop=!0),s&&u>M&&(h=u)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(L,t,t._definedDelta),t.rangebreaks){var O=\"y\"===t._id.charAt(0),z=1;\"auto\"===t.tickmode&&(z=t.tickfont?t.tickfont.size:12);var D=NaN;for(d=L.length-1;d>-1;d--)if(L[d].drop)L.splice(d,1);else{L[d].value=At(L[d].value,t);var R=t.c2p(L[d].value);(O?D>R-z:D<R+z)?L.splice(l?d+1:d,1):D=R}}Mt(t)&&360===Math.abs(r[1]-r[0])&&L.pop(),t._tmax=(L[L.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var F,B,N=[];for(d=0;d<L.length;d++){var j=L[d].minor,U=L[d].value;F=V.tickText(t,U,!1,j),void 0!==(B=L[d].periodX)&&(F.periodX=B,(B>u||B<c)&&(B>u&&(F.periodX=u),B<c&&(F.periodX=c),F.text=\" \",t._prevDateHead=\"\")),N.push(F)}return t._inCalcTicks=!1,N};var $=[2,5,10],tt=[1,2,3,6,12],et=[1,2,5,10,15,30],rt=[1,2,3,7,14],nt=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],it=[-.301,0,.301,.699,1],at=[15,30,45,90,180];function ot(t,e,r){return e*s.roundUp(t/e,r)}function st(t){var e=t.dtick;if(t._tickexponent=0,i(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),a=n.length;if(\"M\"===String(e).charAt(0))a>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=A&&a<=10||e>=15*A)t._tickround=\"d\";else if(e>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(ut(t.exponentformat)&&!ft(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function lt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}V.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var a=2*e;if(a>v)e/=v,r=n(10),t.dtick=\"M\"+12*ot(e,r,$);else if(a>T)e/=T,t.dtick=\"M\"+ot(e,1,tt);else if(a>A){t.dtick=ot(e,A,t._hasDayOfWeekBreaks?[1,2,7,14]:rt);var o=V.getTickFormat(t),l=\"period\"===t.ticklabelmode;l&&(t._rawTick0=t.tick0),/%[uVW]/.test(o)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),l&&(t._dowTick0=t.tick0)}else a>E?t.dtick=ot(e,E,tt):a>L?t.dtick=ot(e,L,et):a>C?t.dtick=ot(e,C,et):(r=n(10),t.dtick=ot(e,r,$))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var u=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/u,r=n(10),t.dtick=\"L\"+ot(e,r,$)}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))):Mt(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.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?it:nt,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 \"+String(e)},V.tickFirst=function(t,e){var r=t.r2l||Number,a=s.simpleMap(t.range,r,void 0,void 0,e),o=a[1]<a[0],l=o?Math.floor:Math.ceil,c=X(a)[0],u=t.dtick,f=r(t.tick0);if(i(u)){var h=l((c-f)/u)*u+f;return\"category\"!==t.type&&\"multicategory\"!==t.type||(h=s.constrain(h,0,t._categories.length-1)),h}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var m,g,v,y=0,x=f;y<10;){if(((m=V.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,m):Math.max(x,m);g=(c-(x+m)/2)/(m-x),v=p+(Math.abs(Math.round(g))||1)*d,x=V.tickIncrement(x,v,g<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-f)/d)*d+f)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?it:nt,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},V.tickText=function(t,e,r,n){var a,o=lt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,f=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var i={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==i}var m=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||V.getTickFormat(t);n&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,c=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));if(l)if(r)\"d\"===a?c+=\", \"+l:c=l+(c?\", \"+c:\"\");else if(t._inCalcTicks&&t._prevDateHead===l){var f=St(t),h=t._realSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(c+=\"<br> \")}else t._prevDateHead=l,c+=\"<br>\"+l;e.text=c}(t,o,r,c):\"log\"===u?function(t,e,r,n,a){var o=t.dtick,l=e.x,c=t.tickformat,u=\"string\"==typeof o&&o.charAt(0);\"never\"===a&&(a=\"\");n&&\"L\"!==u&&(o=\"L3\",u=\"L\");if(c||\"L\"===u)e.text=ht(Math.pow(10,l),t,a,n);else if(i(o)||\"D\"===u&&s.mod(l+.01,1)<.1){var f=Math.round(l),h=Math.abs(f),p=t.exponentformat;\"power\"===p||ut(p)&&ft(f)?(e.text=0===f?1:1===f?\"10\":\"10<sup>\"+(f>1?\"\":P)+h+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&h>2?e.text=\"1\"+p+(f>0?\"+\":P)+h:(e.text=ht(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==u)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var 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):Mt(t)?function(t,e,r,n,i){if(\"radians\"!==t.thetaunit||r)e.text=ht(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=ht(s.deg2rad(e.x),t,i,n);else{var l=e.x<0;1===o[1]?1===o[0]?e.text=\"\\u03c0\":e.text=o[0]+\"\\u03c0\":e.text=[\"<sup>\",o[0],\"</sup>\",\"\\u2044\",\"<sub>\",o[1],\"</sub>\",\"\\u03c0\"].join(\"\"),l&&(e.text=P+e.text)}}}}(t,o,r,c,m):function(t,e,r,n,i){\"never\"===i?i=\"\":\"all\"===t.showexponent&&Math.abs(e.x/t.dtick)<1e-6&&(i=\"hide\");e.text=ht(e.x,t,i,n)}(t,o,0,c,m),n||(t.tickprefix&&!d(t.showtickprefix)&&(o.text=t.tickprefix+o.text),t.ticksuffix&&!d(t.showticksuffix)&&(o.text+=t.ticksuffix)),\"boundaries\"===t.tickson||t.showdividers){var g=function(e){var r=t.l2p(e);return r>=0&&r<=t._length?e:null};o.xbnd=[g(o.x-.5),g(o.x+t.dtick-.5)]}return o},V.hoverLabelText=function(t,e,r){r&&(t=s.extendFlat({},t,{hoverformat:r}));var n=Array.isArray(e)?e[0]:e,i=Array.isArray(e)?e[1]:void 0;if(void 0!==i&&i!==n)return V.hoverLabelText(t,n,r)+\" - \"+V.hoverLabelText(t,i,r);var a=\"log\"===t.type&&n<=0,o=V.tickText(t,t.c2l(a?-n:n),\"hover\").text;return a?0===n?\"0\":P+o:o};var ct=[\"f\",\"p\",\"n\",\"\\u03bc\",\"m\",\"\",\"k\",\"M\",\"G\",\"T\"];function ut(t){return\"SI\"===t||\"B\"===t}function ft(t){return t>14||t<-15}function ht(t,e,r,n){var a=t<0,o=e._tickround,l=r||e.exponentformat||\"B\",c=e._tickexponent,u=V.getTickFormat(e),f=e.separatethousands;if(n){var h={exponentformat:l,minexponent:e.minexponent,dtick:\"none\"===e.showexponent?e.dtick:i(t)&&Math.abs(t)||1,range:\"none\"===e.showexponent?e.range.map(e.r2d):[0,t||1]};st(h),o=(Number(h._tickround)||0)+4,c=h._tickexponent,e.hoverformat&&(u=e.hoverformat)}if(u)return e._numFormat(u)(t).replace(/-/g,P);var p,d=Math.pow(10,-o)/2;if(\"none\"===l&&(c=0),(t=Math.abs(t))<d)t=\"0\",a=!1;else{if(t+=d,c&&(t*=Math.pow(10,-c),o+=c),0===o)t=String(Math.floor(t));else if(o<0){t=(t=String(Math.round(t))).substr(0,t.length+o);for(var m=o;m<0;m++)t+=\"0\"}else{var g=(t=String(t)).indexOf(\".\")+1;g&&(t=t.substr(0,g+o).replace(/\\.?0+$/,\"\"))}t=s.numSeparate(t,e._separators,f)}c&&\"hide\"!==l&&(ut(l)&&ft(c)&&(l=\"power\"),p=c<0?P+-c:\"power\"!==l?\"+\"+c:String(c),\"e\"===l||\"E\"===l?t+=l+p:\"power\"===l?t+=\"\\xd710<sup>\"+p+\"</sup>\":\"B\"===l&&9===c?t+=\"B\":ut(l)&&(t+=ct[c/3+5]));return a?P+t:t}function pt(t,e){for(var r=[],n={},i=0;i<e.length;i++){var a=e[i];n[a.text2]?n[a.text2].push(a.x):n[a.text2]=[a.x]}for(var o in n)r.push(lt(t,s.interp(n[o],.5),o));return r}function dt(t){return void 0!==t.periodX?t.periodX:t.x}function mt(t){return[t.text,t.x,t.axInfo,t.font,t.fontSize,t.fontColor].join(\"_\")}function gt(t){var e=t.title.font.size,r=(t.title.text.match(c.BR_TAG_ALL)||[]).length;return t.title.hasOwnProperty(\"standoff\")?r?e*(N+r*j):e*N:r?e*(r+1)*j:e}function vt(t,e){var r=t.l2p(e);return r>1&&r<t._length-1}function yt(t){var e=n.select(t),r=e.select(\".text-math-group\");return r.empty()?e.select(\"text\"):r}function xt(t){return t._id+\".automargin\"}function bt(t){return xt(t)+\".mirror\"}function _t(t){return t._id+\".rangeslider\"}function wt(t,e){for(var r=0;r<e.length;r++)-1===t.indexOf(e[r])&&t.push(e[r])}function Tt(t,e,r){var n,i,a=[],o=[],l=t.layout;for(n=0;n<e.length;n++)a.push(V.getFromId(t,e[n]));for(n=0;n<r.length;n++)o.push(V.getFromId(t,r[n]));var c=Object.keys(p),u=[\"anchor\",\"domain\",\"overlaying\",\"position\",\"side\",\"tickangle\",\"editType\"],f=[\"linear\",\"log\"];for(n=0;n<c.length;n++){var h=c[n],d=a[0][h],m=o[0][h],g=!0,v=!1,y=!1;if(\"_\"!==h.charAt(0)&&\"function\"!=typeof d&&-1===u.indexOf(h)){for(i=1;i<a.length&&g;i++){var x=a[i][h];\"type\"===h&&-1!==f.indexOf(d)&&-1!==f.indexOf(x)&&d!==x?v=!0:x!==d&&(g=!1)}for(i=1;i<o.length&&g;i++){var b=o[i][h];\"type\"===h&&-1!==f.indexOf(m)&&-1!==f.indexOf(b)&&m!==b?y=!0:o[i][h]!==m&&(g=!1)}g&&(v&&(l[a[0]._name].type=\"linear\"),y&&(l[o[0]._name].type=\"linear\"),kt(l,h,a,o,t._fullLayout._dfltTitle))}}for(n=0;n<t._fullLayout.annotations.length;n++){var _=t._fullLayout.annotations[n];-1!==e.indexOf(_.xref)&&-1!==r.indexOf(_.yref)&&s.swapAttrs(l.annotations[n],[\"?\"])}}function kt(t,e,r,n,i){var a,o=s.nestedProperty,l=o(t[r[0]._name],e).get(),c=o(t[n[0]._name],e).get();for(\"title\"===e&&(l&&l.text===i.x&&(l.text=i.y),c&&c.text===i.y&&(c.text=i.x)),a=0;a<r.length;a++)o(t,r[a]._name+\".\"+e).set(c);for(a=0;a<n.length;a++)o(t,n[a]._name+\".\"+e).set(l)}function Mt(t){return\"angularaxis\"===t._id}function At(t,e){for(var r=e._rangebreaks.length,n=0;n<r;n++){var i=e._rangebreaks[n];if(t>=i.min&&t<i.max)return i.max}return t}function St(t){return-1!==(t.ticklabelposition||\"\").indexOf(\"inside\")}function Et(t,e){St(t._anchorAxis||{})&&t._hideCounterAxisInsideTickLabels&&t._hideCounterAxisInsideTickLabels(e)}V.getTickFormat=function(t){var e,r,n,i,a,o,s,l;function c(t){return\"string\"!=typeof t?t:Number(t.replace(\"M\",\"\"))*T}function u(t,e){var r=[\"L\",\"D\"];if(typeof t==typeof e){if(\"number\"==typeof t)return t-e;var n=r.indexOf(t.charAt(0)),i=r.indexOf(e.charAt(0));return n===i?Number(t.replace(/(L|D)/g,\"\"))-Number(e.replace(/(L|D)/g,\"\")):n-i}return\"number\"==typeof t?1:-1}function f(t,e){var r=null===e[0],n=null===e[1],i=u(t,e[0])>=0,a=u(t,e[1])<=0;return(r||i)&&(n||a)}if(t.tickformatstops&&t.tickformatstops.length>0)switch(t.type){case\"date\":case\"linear\":for(e=0;e<t.tickformatstops.length;e++)if((n=t.tickformatstops[e]).enabled&&(i=t.dtick,a=n.dtickrange,o=void 0,s=void 0,l=void 0,o=c||function(t){return t},s=a[0],l=a[1],(!s&&\"number\"!=typeof s||o(s)<=o(i))&&(!l&&\"number\"!=typeof l||o(l)>=o(i)))){r=n;break}break;case\"log\":for(e=0;e<t.tickformatstops.length;e++)if((n=t.tickformatstops[e]).enabled&&f(t.dtick,n.dtickrange)){r=n;break}}return r?r.value:t.tickformat},V.getSubplots=function(t,e){var r=t._fullLayout._subplots,n=r.cartesian.concat(r.gl2d||[]),i=e?V.findSubplotsWithAxis(n,e):n;return i.sort((function(t,e){var r=t.substr(1).split(\"y\"),n=e.substr(1).split(\"y\");return r[0]===n[0]?+r[1]-+n[1]:+r[0]-+n[0]})),i},V.findSubplotsWithAxis=function(t,e){for(var r=new RegExp(\"x\"===e._id.charAt(0)?\"^\"+e._id+\"y\":e._id+\"$\"),n=[],i=0;i<t.length;i++){var a=t[i];r.test(a)&&n.push(a)}return n},V.makeClipPaths=function(t){var e=t._fullLayout;if(!e._hasOnlyLargeSploms){var r,i,a={_offset:0,_length:e.width,_id:\"\"},o={_offset:0,_length:e.height,_id:\"\"},s=V.list(t,\"x\",!0),l=V.list(t,\"y\",!0),c=[];for(r=0;r<s.length;r++)for(c.push({x:s[r],y:o}),i=0;i<l.length;i++)0===r&&c.push({x:a,y:l[i]}),c.push({x:s[r],y:l[i]});var u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},V.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:V.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=V.getFromId(t,e),i=V.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},V.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=V.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=V.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=V.makeTransTickFn(e),A=V.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=V.clipEnds(e,L),T=S?k:L}else k=V.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C=e._gridVals=k,P=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var I=e._subplotsWith,O={};for(n=0;n<I.length;n++){i=I[n];var z=(l=c._plots[i])[m+\"axis\"],D=z._mainAxis._id;if(!O[D]){O[D]=1;var R=\"x\"===d?\"M0,\"+z._offset+\"v\"+z._length:\"M\"+z._offset+\",0h\"+z._length;V.drawGrid(t,e,{vals:C,counterAxis:z,layer:l.gridlayer.select(\".\"+p),path:R,transFn:M}),V.drawZeroLine(t,e,{counterAxis:z,layer:l.zerolinelayer,path:R,transFn:M})}}}var F=V.getTickSigns(e),B=[];if(e.ticks){var N,q,H,G=V.makeTickPath(e,y,F[2]);if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(N=V.makeTickPath(e,x,F[3]),q=G+N):(N=\"\",q=G),e.showdividers&&E&&\"boundaries\"===e.tickson){var Y={};for(n=0;n<P.length;n++)Y[P[n].x]=1;H=function(t){return Y[t.x]?N:q}}else H=q;V.drawTicks(t,e,{vals:T,layer:v,path:H,transFn:M}),\"allticks\"===e.mirror&&(B=Object.keys(e._linepositions||{}))}for(n=0;n<B.length;n++){i=B[n],l=c._plots[i];var W=e._linepositions[i]||[],X=V.makeTickPath(e,W[0],F[0])+V.makeTickPath(e,W[1],F[1]);V.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:X,transFn:M})}var Z=[];if(Z.push((function(){return V.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:A,labelFns:V.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var J={x:2,y:10}[d];Z.push((function(){var r={x:\"height\",y:\"width\"}[d],n=Q()[r]+J+(e._tickAngles[p+\"tick\"]?e.tickfont.size*j:0);return V.drawLabels(t,e,{vals:pt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:M,labelFns:V.makeLabelFns(e,y+n*F[4])})})),Z.push((function(){return e._depth=F[4]*(Q(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,mt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:P,layer:v,path:V.makeTickPath(e,y,F[4],e._depth),transFn:M})}))}else e.title.hasOwnProperty(\"standoff\")&&Z.push((function(){e._depth=F[4]*(Q()[e.side]-y)}));var K=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return Z.push((function(){var r,n,i,s,l=e.side.charAt(0),u=U[e.side].charAt(0),f=V.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||K)&&(\"multicategory\"===e.type?r=Q(\"tick2\"):(r=Q(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=gt(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}K&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,xt(e),n),a.autoMargin(t,bt(e),i),a.autoMargin(t,_t(e),s)})),r.skipTitle||K&&\"bottom\"===e.side||Z.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+gt(e);else{var s=St(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=V.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(Z)}}function Q(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=yt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},V.getTickSigns=function(t){var e=t._id.charAt(0),r={x:\"top\",y:\"right\"}[e],n=t.side===r?1:-1,i=[-1,1,n,-n];return\"inside\"!==t.ticks==(\"x\"===e)&&(i=i.map((function(t){return-t}))),t.side&&i.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),i},V.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},V.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*N,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-N));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(dt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(dt(e)))}},V.makeTickPath=function(t,e,r,n){n=void 0!==n?n:t.ticklen;var i=t._id.charAt(0),a=(t.linewidth||1)/2;return\"x\"===i?\"M0,\"+(e+a*r)+\"v\"+n*r:\"M\"+(e+a*r)+\",0h\"+n*r},V.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,M=t._id.charAt(0),A=t.tickangle;if(\"x\"===M)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(A)&&(f?x+=B:x=-90===A&&\"bottom\"===k?N:90===A&&\"top\"===k?B:.5,T=B/2*(A/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===M){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(A)||(x=-90===A&&\"left\"===k||90===A&&\"right\"===k?N:.5),f){var S=i(A)?+A:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*N*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*B},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},V.drawTicks=function(t,e,r){r=r||{};var n=e._id+\"tick\",i=r.vals;\"period\"===e.ticklabelmode&&(i=i.slice()).shift();var a=r.layer.selectAll(\"path.\"+n).data(e.ticks?i:[],mt);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).call(f.stroke,e.tickcolor).style(\"stroke-width\",h.crispRound(t,e.tickwidth,1)+\"px\").attr(\"d\",r.path).style(\"display\",null),Et(e,[D]),a.attr(\"transform\",r.transFn)},V.drawGrid=function(t,e,r){r=r||{};var n=e._id+\"grid\",i=r.vals,a=r.counterAxis;if(!1===e.showgrid)i=[];else if(a&&V.shouldShowZeroLine(t,e,a))for(var o=\"array\"===e.tickmode,s=0;s<i.length;s++){var l=i[s].x;if(o?!l:Math.abs(l)<e.dtick/100){if(i=i.slice(0,s).concat(i.slice(s+1)),!o)break;s--}}var c=r.layer.selectAll(\"path.\"+n).data(i,mt);c.exit().remove(),c.enter().append(\"path\").classed(n,1).classed(\"crisp\",!1!==r.crisp),e._gw=h.crispRound(t,e.gridwidth,1),c.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.gridcolor||\"#ddd\").style(\"stroke-width\",e._gw+\"px\").style(\"display\",null),Et(e,[z]),\"function\"==typeof r.path&&c.attr(\"d\",r.path)},V.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=V.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return G(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),Et(e,[O])},V.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals,d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],mt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=j*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),Et(e,[R]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var r=n.select(this);if(r.select(\".text-math-group\").empty()){var a=h.bBox(r.node()),s=0;o?(a.right>p||a.left<f)&&(s=1):(a.bottom>p||a.top+(e.tickangle?0:t.fontSize/4)<f)&&(s=1);var l=r.select(\"text\");s?i&&l.style(\"opacity\",0):(l.style(\"opacity\",1),m=\"bottom\"===d||\"right\"===d?Math.min(m,o?a.top:a.left):-1/0,g=\"top\"===d||\"left\"===d?Math.max(g,o?a.bottom:a.right):1/0)}})),a._plots){var x=a._plots[y];if(e._id===x.xaxis._id||e._id===x.yaxis._id){var b=o?x.yaxis:x.xaxis;b&&(b[\"_visibleLabelMin_\"+e._id]=m,b[\"_visibleLabelMax_\"+e._id]=g)}}}},e._hideCounterAxisInsideTickLabels=function(t){var r=\"x\"===e._id.charAt(0),i=[];for(var o in a._plots){var s=a._plots[o];e._id!==s.xaxis._id&&e._id!==s.yaxis._id||i.push(r?s.yaxis:s.xaxis)}i.forEach((function(r,i){r&&St(r)&&(t||[O,z,D,R]).forEach((function(t){var o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?dt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var r=e.l2p(t.x),i=yt(this),o=h.bBox(i.node());a.push({top:0,bottom:10,height:10,left:r-o.width/2,right:r+o.width/2+2,width:o.width+2})})),\"boundaries\"!==e.tickson&&!e.showdividers||r.secondary){var o=p.length,l=Math.abs((p[o-1].x-p[0].x)*e._m)/(o-1),c=e.ticklabelposition||\"\",f=function(t){return-1!==c.indexOf(t)},d=f(\"top\"),g=f(\"left\"),y=f(\"right\"),_=f(\"bottom\")||g||d||y?(e.tickwidth||0)+6:0,w=l<2.5*n||\"multicategory\"===e.type;for(t=0;t<a.length-1;t++)if(s.bBoxIntersect(a[t],a[t+1],_)){b=w?90:30;break}}else{var T=2;for(e.ticks&&(T+=e.tickwidth/2),t=0;t<a.length;t++){var k=p[t].xbnd,M=a[t];if(null!==k[0]&&M.left-e.l2p(k[0])<T||null!==k[1]&&e.l2p(k[1])-M.right<T){b=90;break}}}b&&x(v,b)}})),e._tickAngles&&_.push((function(){e._tickAngles[f]=null===b?i(m)?m:0:b}));var w=e._anchorAxis;w&&w.autorange&&St(e)&&!Y(a,e._id)&&(a._insideTickLabelsAutorange||(a._insideTickLabelsAutorange={}),a._insideTickLabelsAutorange[w._name+\".autorange\"]=w.autorange,_.push((function(){v.each((function(t,r){var n=yt(this);n.select(\".text-math-group\").empty()&&(e._vals[r].bb=h.bBox(n.node()))}))})));var T=s.syncOrAsync(_);return T&&T.then&&t._promises.push(T),T},V.getPxPosition=function(t,e){var r,n=t._fullLayout._size,i=e._id.charAt(0),a=e.side;return\"free\"!==e.anchor?r=e._anchorAxis:\"x\"===i?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:\"y\"===i&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),\"top\"===a||\"left\"===a?r._offset:\"bottom\"===a||\"right\"===a?r._offset+r._length:void 0},V.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===I)&&(vt(e,0)||!function(t,e,r,n){var i=r._mainAxis;if(!i)return;var a=t._fullLayout,o=e._id.charAt(0),s=V.counterLetter(e._id),l=e._offset+(Math.abs(n[0])<Math.abs(n[1])==(\"x\"===o)?0:e._length);function c(t){if(!t.showline||!t.linewidth)return!1;var r=Math.max((t.linewidth+e.zerolinewidth)/2,1);function n(t){return\"number\"==typeof t&&Math.abs(t-l)<r}if(n(t._mainLinePosition)||n(t._mainMirrorPosition))return!0;var i=t._linepositions||{};for(var a in i)if(n(i[a][0])||n(i[a][1]))return!0}var u=a._plots[r._mainSubplot];if(!(u.mainplotinfo||u).overlays.length)return c(r);for(var f=V.list(t,s),h=0;h<f.length;h++){var p=f[h];if(p._mainAxis===i&&c(p))return!0}}(t,e,r,n)||function(t,e){for(var r=t._fullData,n=e._mainSubplot,i=e._id.charAt(0),a=0;a<r.length;a++){var s=r[a];if(!0===s.visible&&s.xaxis+s.yaxis===n){if(o.traceIs(s,\"bar-like\")&&s.orientation==={x:\"h\",y:\"v\"}[i])return!0;if(s.fill&&s.fill.charAt(s.fill.length-1)===i)return!0}}return!1}(t,e))},V.clipEnds=function(t,e){return e.filter((function(e){return vt(t,e.x)}))},V.allowAutoMargin=function(t){for(var e=V.list(t,\"\",!0),r=0;r<e.length;r++){var n=e[r];n.automargin&&(a.allowAutoMargin(t,xt(n)),n.mirror&&a.allowAutoMargin(t,bt(n))),o.getComponentMethod(\"rangeslider\",\"isVisible\")(n)&&a.allowAutoMargin(t,_t(n))}},V.swap=function(t,e){for(var r=function(t,e){var r,n,i=[];for(r=0;r<e.length;r++){var a=[],o=t._fullData[e[r]].xaxis,s=t._fullData[e[r]].yaxis;if(o&&s){for(n=0;n<i.length;n++)-1===i[n].x.indexOf(o)&&-1===i[n].y.indexOf(s)||a.push(n);if(a.length){var l,c=i[a[0]];if(a.length>1)for(n=1;n<a.length;n++)l=i[a[n]],wt(c.x,l.x),wt(c.y,l.y);wt(c.x,[o]),wt(c.y,[s])}else i.push({x:[o],y:[s]})}}return i}(t,e),n=0;n<r.length;n++)Tt(t,r[n].x,r[n].y)}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../../components/titles\":760,\"../../constants/alignment\":767,\"../../constants/numerical\":775,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plots/plots\":913,\"../../registry\":927,\"./autorange\":848,\"./axis_autotype\":850,\"./axis_ids\":853,\"./clean_ticks\":855,\"./layout_attributes\":864,\"./set_convert\":870,\"@plotly/d3\":58,\"fast-isnumeric\":245}],850:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=i.isArrayOrTypedArray,s=i.isDateTime,l=i.cleanNumber,c=Math.round;function u(t,e){return e?n(t):\"number\"==typeof t}function f(t){return Math.max(1,(t-1)/1e3)}e.exports=function(t,e,r){var i=t,h=r.noMultiCategory;if(o(i)&&!i.length)return\"-\";if(!h&&function(t){return o(t[0])&&o(t[1])}(i))return\"multicategory\";if(h&&Array.isArray(i[0])){for(var p=[],d=0;d<i.length;d++)if(o(i[d]))for(var m=0;m<i[d].length;m++)p.push(i[d][m]);i=p}if(function(t,e){for(var r=t.length,i=f(r),a=0,o=0,l={},u=0;u<r;u+=i){var h=c(u),p=t[h],d=String(p);l[d]||(l[d]=1,s(p,e)&&a++,n(p)&&o++)}return a>2*o}(i,e))return\"date\";var g=\"strict\"!==r.autotypenumbers;return function(t,e){for(var r=t.length,n=f(r),i=0,o=0,s={},u=0;u<r;u+=n){var h=c(u),p=t[h],d=String(p);if(!s[d]){s[d]=1;var m=typeof p;\"boolean\"===m?o++:(e?l(p)!==a:\"number\"===m)?i++:\"string\"===m&&o++}}return o>2*i}(i,g)?\"category\":function(t,e){for(var r=t.length,n=0;n<r;n++)if(u(t[n],e))return!0;return!1}(i,g)?\"linear\":\"-\"}},{\"../../constants/numerical\":775,\"../../lib\":799,\"fast-isnumeric\":245}],851:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),f=t(\"./category_order_defaults\"),h=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,m=t(\"./constants\").HOUR_PATTERN;function g(t,e,r){function i(r,n){return a.coerce(t,e,s.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var f=i(\"pattern\",u);if(f===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(f)for(l=0;l<2;l++)switch(c=o[l],f){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case m:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var h=r.range;if(h[0]<h[1]){if(o[0]<h[0]&&o[1]>h[1])return void(e.enabled=!1)}else if(o[0]>h[0]&&o[1]<h[1])return void(e.enabled=!1)}}else{var p=i(\"values\");if(!p||!p.length)return void(e.enabled=!1);i(\"dvalue\")}}}e.exports=function(t,e,r,n,m){var v,y=n.letter,x=n.font||{},b=n.splomStash||{},_=r(\"visible\",!n.visibleDflt),w=e._template||{},T=e.type||w.type||\"-\";\"date\"===T&&(i.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",n.calendar),n.noTicklabelmode||(v=r(\"ticklabelmode\")));var k=\"\";n.noTicklabelposition&&\"multicategory\"!==T||(k=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===v?[\"outside\",\"inside\"]:\"x\"===y?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==k.indexOf(\"inside\")?\"hide past domain\":\"category\"===T||\"multicategory\"===T?\"allow\":\"hide past div\"),p(e,m);var M=!e.isValidRange(t.range);M&&n.reverseDflt&&(M=\"reversed\"),!r(\"autorange\",M)||\"linear\"!==T&&\"-\"!==T||r(\"rangemode\"),r(\"range\"),e.cleanRange(),f(t,e,r,n),\"category\"===T||n.noHover||r(\"hoverformat\");var A=r(\"color\"),S=A!==s.color.dflt?A:x.color,E=b.label||m._dfltTitle[y];if(u(t,e,r,T,n,{pass:1}),!_)return e;r(\"title.text\",E),a.coerceFont(r,\"title.font\",{family:x.family,size:a.bigFont(x.size),color:S}),l(t,e,r,T),u(t,e,r,T,n,{pass:2}),c(t,e,r,n),h(t,e,r,{dfltColor:A,bgColor:n.bgColor,showGrid:n.showGrid,attributes:s}),(e.showline||e.ticks)&&r(\"mirror\"),n.automargin&&r(\"automargin\");var L,C=\"multicategory\"===T;n.noTickson||\"category\"!==T&&!C||!e.ticks&&!e.showgrid||(C&&(L=\"boundaries\"),\"boundaries\"===r(\"tickson\",L)&&delete e.ticklabelposition);C&&(r(\"showdividers\")&&(r(\"dividercolor\"),r(\"dividerwidth\")));if(\"date\"===T)if(o(t,e,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:g}),e.rangebreaks.length){for(var P=0;P<e.rangebreaks.length;P++)if(e.rangebreaks[P].pattern===d){e._hasDayOfWeekBreaks=!0;break}if(p(e,m),m._has(\"scattergl\")||m._has(\"splom\"))for(var I=0;I<n.data.length;I++){var O=n.data[I];\"scattergl\"!==O.type&&\"splom\"!==O.type||(O.visible=!1,a.warn(O.type+\" traces do not work on axes with rangebreaks. Setting trace \"+O.index+\" to `visible: false`.\"))}}else delete e.rangebreaks;return e};var v={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function y(t){if(\"string\"==typeof t)return v[t.substr(0,3).toLowerCase()]}},{\"../../lib\":799,\"../../registry\":927,\"../array_container_defaults\":844,\"./category_order_defaults\":854,\"./constants\":856,\"./layout_attributes\":864,\"./line_grid_defaults\":866,\"./set_convert\":870,\"./tick_label_defaults\":871,\"./tick_mark_defaults\":872,\"./tick_value_defaults\":873,\"fast-isnumeric\":245}],852:[function(t,e,r){\"use strict\";var n=t(\"../../constants/docs\"),i=n.FORMAT_LINK,a=n.DATE_FORMAT_LINK;function o(t,e){return[\"Sets the \"+t+\" formatting rule\"+(e?\"for `\"+e+\"` \":\"\"),\"using d3 formatting mini-languages\",\"which are very similar to those in Python. For numbers, see: \"+i+\".\"].join(\" \")}function s(t,e){return o(t,e)+[\" And for dates see: \"+a+\".\",\"We add two items to d3's date formatter:\",\"*%h* for half of the year as a decimal number as well as\",\"*%{n}f* for fractional seconds\",\"with n digits. For example, *2016-10-13 09:15:23.456* with tickformat\",\"*%H~%M~%S.%2f* would display *09~15~23.46*\"].join(\" \")}e.exports={axisHoverFormat:function(t,e){return{valType:\"string\",dflt:\"\",editType:\"none\",description:(e?o:s)(\"hover text\",t)+[\"By default the values are formatted using \"+(e?\"generic number format\":\"`\"+t+\"axis.hoverformat`\")+\".\"].join(\" \")}},descriptionOnlyNumbers:o,descriptionWithDates:s}},{\"../../constants/docs\":770}],853:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"./constants\");function a(t,e){if(e&&e.length)for(var r=0;r<e.length;r++)if(e[r][t])return!0;return!1}r.id2name=function(t){if(\"string\"==typeof t&&t.match(i.AX_ID_PATTERN)){var e=t.split(\" \")[0].substr(1);return\"1\"===e&&(e=\"\"),t.charAt(0)+\"axis\"+e}},r.name2id=function(t){if(t.match(i.AX_NAME_PATTERN)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),t.charAt(0)+e}},r.cleanId=function(t,e,r){var n=/( domain)$/.test(t);if(\"string\"==typeof t&&t.match(i.AX_ID_PATTERN)&&(!e||t.charAt(0)===e)&&(!n||r)){var a=t.split(\" \")[0].substr(1).replace(/^0+/,\"\");return\"1\"===a&&(a=\"\"),t.charAt(0)+a+(n&&r?\" domain\":\"\")}},r.list=function(t,e,n){var i=t._fullLayout;if(!i)return[];var a,o=r.listIds(t,e),s=new Array(o.length);for(a=0;a<o.length;a++){var l=o[a];s[a]=i[l.charAt(0)+\"axis\"+l.substr(1)]}if(!n){var c=i._subplots.gl3d||[];for(a=0;a<c.length;a++){var u=i[c[a]];e?s.push(u[e+\"axis\"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+\"axis\"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var i=t._fullLayout;return e=void 0===e||\"string\"!=typeof e?e:e.replace(\" domain\",\"\"),\"x\"===n?e=e.replace(/y[0-9]*/,\"\"):\"y\"===n&&(e=e.replace(/x[0-9]*/,\"\")),i[r.id2name(e)]},r.getFromTrace=function(t,e,i){var a=t._fullLayout,o=null;if(n.traceIs(e,\"gl3d\")){var s=e.scene;\"scene\"===s.substr(0,5)&&(o=a[s][i+\"axis\"])}else o=r.getFromId(t,e[i+\"axis\"]||i);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.ref2id=function(t){return!!/^[xyz]/.test(t)&&t.split(\" \")[0]},r.isLinked=function(t,e){return a(e,t._axisMatchGroups)||a(e,t._axisConstraintGroups)}},{\"../../registry\":927,\"./constants\":856}],854:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var i,a=t.categoryarray,o=Array.isArray(a)&&a.length>0;o&&(i=\"array\");var s,l=r(\"categoryorder\",i);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,i,a=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[a+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][a];for(i=0;i<l.length;i++){var c=l[i];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category descending\"===l&&(e._initialCategories=s.reverse()))}}},{}],855:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\"),o=a.ONEDAY,s=a.ONEWEEK;r.dtick=function(t,e){var r=\"log\"===e,i=\"date\"===e,a=\"category\"===e,s=i?o:1;if(!t)return s;if(n(t))return(t=Number(t))<=0?s:a?Math.max(1,Math.round(t)):i?Math.max(.1,t):t;if(\"string\"!=typeof t||!i&&!r)return s;var l=t.charAt(0),c=t.substr(1);return(c=n(c)?Number(c):0)<=0||!(i&&\"M\"===l&&c===Math.round(c)||r&&\"L\"===l||r&&\"D\"===l&&(1===c||2===c))?s:t},r.tick0=function(t,e,r,a){return\"date\"===e?i.cleanDate(t,i.dateTick0(r,a%s==0?1:0)):\"D1\"!==a&&\"D2\"!==a?n(t)?Number(t):0:void 0}},{\"../../constants/numerical\":775,\"../../lib\":799,\"fast-isnumeric\":245}],856:[function(t,e,r){\"use strict\";var n=t(\"../../lib/regex\").counter;e.exports={idRegex:{x:n(\"x\",\"( domain)?\"),y:n(\"y\",\"( domain)?\")},attrRegex:n(\"[xy]axis\"),xAxisMatch:n(\"xaxis\"),yAxisMatch:n(\"yaxis\"),AX_ID_PATTERN:/^[xyz][0-9]*( domain)?$/,AX_NAME_PATTERN:/^[xyz]axis[0-9]*$/,SUBPLOT_PATTERN:/^x([0-9]*)y([0-9]*)$/,HOUR_PATTERN:\"hour\",WEEKDAY_PATTERN:\"day of week\",MINDRAG:8,MINSELECT:12,MINZOOM:20,DRAGGERSIZE:20,BENDPX:1.5,REDRAWDELAY:50,SELECTDELAY:100,SELECTID:\"-select\",DFLTRANGEX:[-1,6],DFLTRANGEY:[-1,4],traceLayerClasses:[\"imagelayer\",\"heatmaplayer\",\"contourcarpetlayer\",\"contourlayer\",\"funnellayer\",\"waterfalllayer\",\"barlayer\",\"carpetlayer\",\"violinlayer\",\"boxlayer\",\"ohlclayer\",\"scattercarpetlayer\",\"scatterlayer\"],clipOnAxisFalseQuery:[\".scatterlayer\",\".barlayer\",\".funnellayer\",\".waterfalllayer\"],layerValue2layerClass:{\"above traces\":\"above\",\"below traces\":\"below\"}}},{\"../../lib/regex\":816}],857:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./autorange\"),a=t(\"./axis_ids\").id2name,o=t(\"./layout_attributes\"),s=t(\"./scale_zoom\"),l=t(\"./set_convert\"),c=t(\"../../constants/numerical\").ALMOST_EQUAL,u=t(\"../../constants/alignment\").FROM_BL;function f(t,e,r){var i=r.axIds,s=r.layoutOut,l=r.hasImage,c=s._axisConstraintGroups,u=s._axisMatchGroups,f=e._id,m=f.charAt(0),g=((s._splomAxes||{})[m]||{})[f]||{},v=e._id,y=\"x\"===v.charAt(0);function x(r,i){return n.coerce(t,e,o,r,i)}e._matchGroup=null,e._constraintGroup=null,x(\"constrain\",l?\"domain\":\"range\"),n.coerce(t,e,{constraintoward:{valType:\"enumerated\",values:y?[\"left\",\"center\",\"right\"]:[\"bottom\",\"middle\",\"top\"],dflt:y?\"center\":\"middle\"}},\"constraintoward\");var b,_,w=e.type,T=[];for(b=0;b<i.length;b++){if((_=i[b])!==v)s[a(_)].type===w&&T.push(_)}var k=p(c,v);if(k){var M=[];for(b=0;b<T.length;b++)k[_=T[b]]||M.push(_);T=M}var A,S,E=T.length;E&&(t.matches||g.matches)&&(A=n.coerce(t,e,{matches:{valType:\"enumerated\",values:T,dflt:-1!==T.indexOf(g.matches)?g.matches:void 0}},\"matches\"));var L=l&&!y?e.anchor:void 0;if(E&&!A&&(t.scaleanchor||L)&&(S=n.coerce(t,e,{scaleanchor:{valType:\"enumerated\",values:T}},\"scaleanchor\",L)),A){e._matchGroup=d(u,v,A,1);var C=s[a(A)],P=h(s,e)/h(s,C);y!==(\"x\"===A.charAt(0))&&(P=(y?\"x\":\"y\")+P),d(c,v,A,P)}else t.matches&&-1!==i.indexOf(t.matches)&&n.warn(\"ignored \"+e._name+'.matches: \"'+t.matches+'\" to avoid an infinite loop');if(S){var I=x(\"scaleratio\");I||(I=e.scaleratio=1),d(c,v,S,I)}else t.scaleanchor&&-1!==i.indexOf(t.scaleanchor)&&n.warn(\"ignored \"+e._name+'.scaleanchor: \"'+t.scaleanchor+'\" to avoid either an infinite loop and possibly inconsistent scaleratios, or because this axis declares a *matches* constraint.')}function h(t,e){var r=e.domain;return r||(r=t[a(e.overlaying)].domain),r[1]-r[0]}function p(t,e){for(var r=0;r<t.length;r++)if(t[r][e])return t[r];return null}function d(t,e,r,n){var i,a,o,s,l,c=p(t,e);null===c?((c={})[e]=1,l=t.length,t.push(c)):l=t.indexOf(c);var u=Object.keys(c);for(i=0;i<t.length;i++)if(o=t[i],i!==l&&o[r]){var f=o[r];for(a=0;a<u.length;a++)o[s=u[a]]=m(f,m(n,c[s]));return void t.splice(l,1)}if(1!==n)for(a=0;a<u.length;a++){var h=u[a];c[h]=m(n,c[h])}c[r]=1}function m(t,e){var r,n,i=\"\",a=\"\";\"string\"==typeof t&&(r=(i=t.match(/^[xy]*/)[0]).length,t=+t.substr(r)),\"string\"==typeof e&&(n=(a=e.match(/^[xy]*/)[0]).length,e=+e.substr(n));var o=t*e;return r||n?r&&n&&i.charAt(0)!==a.charAt(0)?r===n?o:(r>n?i.substr(n):a.substr(r))+o:i+a+t*e:o}function g(t,e){for(var r=e._size,n=r.h/r.w,i={},a=Object.keys(t),o=0;o<a.length;o++){var s=a[o],l=t[s];if(\"string\"==typeof l){var c=l.match(/^[xy]*/)[0],u=c.length;l=+l.substr(u);for(var f=\"y\"===c.charAt(0)?n:1/n,h=0;h<u;h++)l*=f}i[s]=l}return i}function v(t,e){var r=t._inputDomain,n=u[t.constraintoward],i=r[0]+(r[1]-r[0])*n;t.domain=t._input.domain=[i+(r[0]-i)/e,i+(r[1]-i)/e],t.setScale()}r.handleDefaults=function(t,e,r){var i,o,s,c,u,h,p,d,m=r.axIds,g=r.axHasImage,v=e._axisConstraintGroups=[],y=e._axisMatchGroups=[];for(i=0;i<m.length;i++)f(u=t[c=a(m[i])],h=e[c],{axIds:m,layoutOut:e,hasImage:g[c]});function x(t,r){for(i=0;i<t.length;i++)for(s in o=t[i])e[a(s)][r]=o}for(x(y,\"_matchGroup\"),i=0;i<v.length;i++)for(s in o=v[i])if((h=e[a(s)]).fixedrange){for(var b in o){var _=a(b);!1===(t[_]||{}).fixedrange&&n.warn(\"fixedrange was specified as false for axis \"+_+\" but was overridden because another axis in its constraint group has fixedrange true\"),e[_].fixedrange=!0}break}for(i=0;i<v.length;){for(s in o=v[i]){(h=e[a(s)])._matchGroup&&Object.keys(h._matchGroup).length===Object.keys(o).length&&(v.splice(i,1),i--);break}i++}x(v,\"_constraintGroup\");var w=[\"constrain\",\"range\",\"autorange\",\"rangemode\",\"rangebreaks\",\"categoryorder\",\"categoryarray\"],T=!1,k=!1;function M(){d=h[p],\"rangebreaks\"===p&&(k=h._hasDayOfWeekBreaks)}for(i=0;i<y.length;i++){o=y[i];for(var A=0;A<w.length;A++){var S;for(s in p=w[A],d=null,o)if(u=t[c=a(s)],h=e[c],p in h){if(!h.matches&&(S=h,p in u)){M();break}null===d&&p in u&&M()}if(\"range\"===p&&d&&(T=!0),\"autorange\"===p&&null===d&&T&&(d=!1),null===d&&p in S&&(d=S[p]),null!==d)for(s in o)(h=e[a(s)])[p]=\"range\"===p?d.slice():d,\"rangebreaks\"===p&&(h._hasDayOfWeekBreaks=k,l(h,e))}}},r.enforce=function(t){var e,r,n,o,l,u,f,h,p=t._fullLayout,d=p._axisConstraintGroups||[];for(e=0;e<d.length;e++){n=g(d[e],p);var m=Object.keys(n),y=1/0,x=0,b=1/0,_={},w={},T=!1;for(r=0;r<m.length;r++)w[o=m[r]]=l=p[a(o)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),_[o]=u=Math.abs(l._m)/n[o],y=Math.min(y,u),\"domain\"!==l.constrain&&l._constraintShrinkable||(b=Math.min(b,u)),delete l._constraintShrinkable,x=Math.max(x,u),\"domain\"===l.constrain&&(T=!0);if(!(y>c*x)||T)for(r=0;r<m.length;r++)if(u=_[o=m[r]],f=(l=w[o]).constrain,u!==b||\"domain\"===f)if(h=u/b,\"range\"===f)s(l,h);else{var k=l._inputDomain,M=(l.domain[1]-l.domain[0])/(k[1]-k[0]),A=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=M)*A<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(A<1&&(l.range=l._input.range=l._inputRange.slice(),h*=A),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,P=L,I=Math.abs(E-L),O=L-I*h*1.0001,z=L+I*h*1.0001,D=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);v(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-D(U[B])/N)>O&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<z&&F>P&&(P=F);h/=(P-C)/(2*I),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}v(l,h)}}},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e},r.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},{\"../../constants/alignment\":767,\"../../constants/numerical\":775,\"../../lib\":799,\"./autorange\":848,\"./axis_ids\":853,\"./layout_attributes\":864,\"./scale_zoom\":868,\"./set_convert\":870}],858:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"has-passive-events\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../lib/svg_text_utils\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../components/fx\"),p=t(\"./axes\"),d=t(\"../../lib/setcursor\"),m=t(\"../../components/dragelement\"),g=t(\"../../components/dragelement/helpers\"),v=g.selectingOrDrawing,y=g.freeMode,x=t(\"../../constants/alignment\").FROM_TL,b=t(\"../../lib/clear_gl_canvases\"),_=t(\"../../plot_api/subroutines\").redrawReglTraces,w=t(\"../plots\"),T=t(\"./axis_ids\").getFromId,k=t(\"./select\").prepSelect,M=t(\"./select\").clearSelect,A=t(\"./select\").selectOnClick,S=t(\"./scale_zoom\"),E=t(\"./constants\"),L=E.MINDRAG,C=E.MINZOOM,P=!0;function I(t,e,r,n){var i=s.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return i.call(d,n),i.node()}function O(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(f.setRect,i,a,o,s),l}function z(t,e){for(var r=0;r<t.length;r++)if(!t[r].fixedrange)return e;return\"\"}function D(t,e,r,n,i){for(var a=0;a<t.length;a++){var o=t[a];if(!o.fixedrange)if(o.rangebreaks){var s=\"y\"===o._id.charAt(0),l=s?1-e:e,c=s?1-r:r;n[o._name+\".range[0]\"]=o.l2r(o.p2l(l*o._length)),n[o._name+\".range[1]\"]=o.l2r(o.p2l(c*o._length))}else{var u=o._rl[0],f=o._rl[1]-u;n[o._name+\".range[0]\"]=o.l2r(u+f*e),n[o._name+\".range[1]\"]=o.l2r(u+f*r)}}if(i&&i.length){var h=(e+(1-r))/2;D(i,h,1-h,n,[])}}function R(t,e){for(var r=0;r<t.length;r++){var n=t[r];if(!n.fixedrange)if(n.rangebreaks){var i=n._length,a=(n.p2l(0+e)-n.p2l(0)+(n.p2l(i+e)-n.p2l(i)))/2;n.range=[n.l2r(n._rl[0]-a),n.l2r(n._rl[1]-a)]}else n.range=[n.l2r(n._rl[0]-e/n._m),n.l2r(n._rl[1]-e/n._m)]}}function F(t){return 1-(t>=0?Math.min(t,.9):1/(1/Math.max(t,-.3)+3.222))}function B(t,e,r,n,i){return t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",l(r,n)).attr(\"d\",i+\"Z\")}function N(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:u.background,stroke:u.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",l(e,r)).attr(\"d\",\"M0,0Z\")}function j(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),U(t,e,i,a)}function U(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function V(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function q(t){P&&t.data&&t._context.showTips&&(s.notifier(s._(t,\"Double-click to zoom back out\"),\"long\"),P=!1)}function H(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,C)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function G(t,e,r,n,i){for(var a,o,l,c,u=!1,f={},h={},p=(i||{}).xaHash,d=(i||{}).yaHash,m=0;m<e.length;m++){var g=e[m];for(a in r)if(g[a]){for(l in g)i&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=a);for(o in n)i&&(p[o]||d[o])||!g[o]||(u=!0)}for(o in n)if(g[o])for(c in g)i&&(p[c]||d[c])||(\"x\"===c.charAt(0)?r:n)[c]||(h[c]=o)}u&&(s.extendFlat(f,h),h={});var v={},y=[];for(l in f){var x=T(t,l);y.push(x),v[x._id]=x}var b={},_=[];for(c in h){var w=T(t,c);_.push(w),b[w._id]=w}return{xaHash:v,yaHash:b,xaxes:y,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:u}}function Y(t,e){if(a){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function W(t){var e=[];for(var r in t)e.push(t[r]);return e}e.exports={makeDragBox:function(t,e,r,a,l,u,d,g){var P,I,U,X,Z,J,K,Q,$,tt,et,rt,nt,it,at,ot,st,lt,ct,ut,ft,ht,pt,dt=t._fullLayout._zoomlayer,mt=d+g===\"nsew\",gt=1===(d+g).length;function vt(){if(P=e.xaxis,I=e.yaxis,$=P._length,tt=I._length,K=P._offset,Q=I._offset,(U={})[P._id]=P,(X={})[I._id]=I,d&&g)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;U[i._id]=i;var a=r[n].yaxis;X[a._id]=a}Z=W(U),J=W(X),nt=z(Z,g),it=z(J,d),at=!it&&!nt,rt=G(t,t._fullLayout._axisMatchGroups,U,X);var o=(et=G(t,t._fullLayout._axisConstraintGroups,U,X,rt)).isSubplotConstrained||rt.isSubplotConstrained;ot=g||o,st=d||o;var s=t._fullLayout;lt=s._has(\"scattergl\"),ct=s._has(\"splom\"),ut=s._has(\"svg\")}vt();var yt=function(t,e,r){if(!t)return\"pointer\";if(\"nsew\"===t)return r?\"\":\"pan\"===e?\"move\":\"crosshair\";return t.toLowerCase()+\"-resize\"}(it+nt,t._fullLayout.dragmode,mt),xt=O(e,d+g+\"drag\",yt,r,a,l,u);if(at&&!mt)return xt.onmousedown=null,xt.style.pointerEvents=\"none\",xt;var bt,_t,wt,Tt,kt,Mt,At,St,Et,Lt,Ct={element:xt,gd:t,plotinfo:e};function Pt(){Ct.plotinfo.selection=!1,M(t)}function It(t,r){var i=Ct.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var a=i._fullLayout.clickmode;if(V(i),2!==t||gt||qt(),mt)a.indexOf(\"select\")>-1&&A(r,i,Z,J,e.id,Ct),a.indexOf(\"event\")>-1&&h.click(i,r,e.id);else if(1===t&&gt){var s=d?I:P,l=\"s\"===d||\"w\"===g?0:1,u=s._name+\".range[\"+l+\"]\",f=function(t,e){var r,i=t.range[e],a=Math.abs(i-t.range[1-e]);return\"date\"===t.type?i:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(a)/Math.LN10))+3,n.format(\".\"+r+\"g\")(Math.pow(10,i))):(r=Math.floor(Math.log(Math.abs(i))/Math.LN10)-Math.floor(Math.log(a)/Math.LN10)+4,n.format(\".\"+String(r)+\"g\")(i))}(s,l),p=\"left\",m=\"middle\";if(s.fixedrange)return;d?(m=\"n\"===d?\"top\":\"bottom\",\"right\"===s.side&&(p=\"right\")):\"e\"===g&&(p=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(xt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(f),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:p,verticalAlign:m}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&o.call(\"_guiRelayout\",i,u,e)}))}}}function Ot(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min($,ht*e+bt)),i=Math.max(0,Math.min(tt,pt*r+_t)),a=Math.abs(n-bt),o=Math.abs(i-_t);function s(){At=\"\",wt.r=wt.l,wt.t=wt.b,Et.attr(\"d\",\"M0,0Z\")}if(wt.l=Math.min(bt,n),wt.r=Math.max(bt,n),wt.t=Math.min(_t,i),wt.b=Math.max(_t,i),et.isSubplotConstrained)a>C||o>C?(At=\"xy\",a/$>o/tt?(o=a*tt/$,_t>i?wt.t=_t-o:wt.b=_t+o):(a=o*$/tt,bt>n?wt.l=bt-a:wt.r=bt+a),Et.attr(\"d\",H(wt))):s();else if(rt.isSubplotConstrained)if(a>C||o>C){At=\"xy\";var l=Math.min(wt.l/$,(tt-wt.b)/tt),c=Math.max(wt.r/$,(tt-wt.t)/tt);wt.l=l*$,wt.r=c*$,wt.b=(1-l)*tt,wt.t=(1-c)*tt,Et.attr(\"d\",H(wt))}else s();else!it||o<Math.min(Math.max(.6*a,L),C)?a<L||!nt?s():(wt.t=0,wt.b=tt,At=\"x\",Et.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-C-.5)+\"h-3v\"+(2*C+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-C-.5)+\"h3v\"+(2*C+1)+\"h-3Z\"}(wt,_t))):!nt||a<Math.min(.6*o,C)?(wt.l=0,wt.r=$,At=\"y\",Et.attr(\"d\",function(t,e){return\"M\"+(e-C-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*C+1)+\"v3ZM\"+(e-C-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*C+1)+\"v-3Z\"}(wt,bt))):(At=\"xy\",Et.attr(\"d\",H(wt)));wt.w=wt.r-wt.l,wt.h=wt.b-wt.t,At&&(Lt=!0),t._dragged=Lt,j(St,Et,wt,kt,Mt,Tt),zt(),t.emit(\"plotly_relayouting\",ft),Mt=!0}function zt(){ft={},\"xy\"!==At&&\"x\"!==At||(D(Z,wt.l/$,wt.r/$,ft,et.xaxes),Ut(\"x\",ft)),\"xy\"!==At&&\"y\"!==At||(D(J,(tt-wt.b)/tt,(tt-wt.t)/tt,ft,et.yaxes),Ut(\"y\",ft))}function Dt(){zt(),V(t),Ht(),q(t)}Ct.prepFn=function(e,r,n){var a=Ct.dragmode,o=t._fullLayout.dragmode;o!==a&&(Ct.dragmode=o),vt(),ht=t._fullLayout._invScaleX,pt=t._fullLayout._invScaleY,at||(mt?e.shiftKey?\"pan\"===o?o=\"zoom\":v(o)||(o=\"pan\"):e.ctrlKey&&(o=\"pan\"):o=\"pan\"),y(o)?Ct.minDrag=1:Ct.minDrag=void 0,v(o)?(Ct.xaxes=Z,Ct.yaxes=J,k(e,r,n,Ct,o)):(Ct.clickFn=It,v(a)&&Pt(),at||(\"zoom\"===o?(Ct.moveFn=Ot,Ct.doneFn=Dt,Ct.minDrag=1,function(e,r,n){var a=xt.getBoundingClientRect();bt=r-a.left,_t=n-a.top,t._fullLayout._calcInverseTransform(t);var o=s.apply3DTransform(t._fullLayout._invTransform)(bt,_t);bt=o[0],_t=o[1],wt={l:bt,r:bt,w:0,t:_t,b:_t,h:0},Tt=t._hmpixcount?t._hmlumcount/t._hmpixcount:i(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,At=\"xy\",Lt=!1,St=B(dt,Tt,K,Q,kt=\"M0,0H\"+$+\"V\"+tt+\"H0V0\"),Et=N(dt,K,Q)}(0,r,n)):\"pan\"===o&&(Ct.moveFn=jt,Ct.doneFn=Ht))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===xt){var r=t._fullLayout.dragmode;v(r)||(vt(),Gt([0,0,$,tt]),Ct.moveFn(e.dx,e.dy))}}},m.init(Ct);var Rt=[0,0,$,tt],Ft=null,Bt=E.REDRAWDELAY,Nt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function jt(e,r){if(e*=ht,r*=pt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===nt||\"ns\"===it){var n=nt?-e:0,i=it?-r:0;if(rt.isSubplotConstrained){if(nt&&it){var a=(e/$-r/tt)/2;n=-(e=a*$),i=-(r=-a*tt)}it?n=-i*$/tt:i=-n*tt/$}return nt&&(R(Z,e),Ut(\"x\")),it&&(R(J,r),Ut(\"y\")),Gt([n,i,$,tt]),Vt(),void t.emit(\"plotly_relayouting\",ft)}var o,s,l=\"w\"===nt==(\"n\"===it)?1:-1;if(nt&&it&&(et.isSubplotConstrained||rt.isSubplotConstrained)){var c=(e/$+l*r/tt)/2;e=c*$,r=l*c*tt}if(\"w\"===nt?e=p(Z,0,e):\"e\"===nt?e=p(Z,1,-e):nt||(e=0),\"n\"===it?r=p(J,1,r):\"s\"===it?r=p(J,0,-r):it||(r=0),o=\"w\"===nt?e:0,s=\"n\"===it?r:0,et.isSubplotConstrained&&!rt.isSubplotConstrained||rt.isSubplotConstrained&&nt&&it&&l>0){var u;if(rt.isSubplotConstrained||!nt&&1===it.length){for(u=0;u<Z.length;u++)Z[u].range=Z[u]._r.slice(),S(Z[u],1-r/tt);o=(e=r*$/tt)/2}if(rt.isSubplotConstrained||!it&&1===nt.length){for(u=0;u<J.length;u++)J[u].range=J[u]._r.slice(),S(J[u],1-e/$);s=(r=e*tt/$)/2}}rt.isSubplotConstrained&&it||Ut(\"x\"),rt.isSubplotConstrained&&nt||Ut(\"y\");var f=$-e,h=tt-r;!rt.isSubplotConstrained||nt&&it||(nt?(s=o?0:e*tt/$,h=f*tt/$):(o=s?0:r*$/tt,f=h*$/tt)),Gt([o,s,f,h]),Vt(),t.emit(\"plotly_relayouting\",ft)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/F(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Ut(t,e){for(var r=rt.isSubplotConstrained?{x:J,y:Z}[t]:rt[t+\"axes\"],n=rt.isSubplotConstrained?{x:Z,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=rt.xLinks[o]||rt.yLinks[o],l=n[0]||U[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Vt(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(ot&&(n(Z),n(et.xaxes),n(rt.xaxes)),st&&(n(J),n(et.yaxes),n(rt.yaxes)),ft={},e=0;e<r.length;e++){var i=r[e],a=T(t,i);p.drawOne(t,a,{skipTitle:!0}),ft[a._name+\".range[0]\"]=a.range[0],ft[a._name+\".range[1]\"]=a.range[1]}p.redrawComponents(t,r)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];nt&&(r=r.concat(Z)),it&&(r=r.concat(J)),rt.xaxes&&(r=r.concat(rt.xaxes)),rt.yaxes&&(r=r.concat(rt.yaxes));var n,i,a,s={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e=\"reset\";break}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(s[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((nt||et.isSubplotConstrained)&&(r=r.concat(et.xaxes)),it&&!et.isSubplotConstrained&&(r=r.concat(et.yaxes)),et.isSubplotConstrained&&(nt?it||(r=r.concat(J)):r=r.concat(Z)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,s[n._name+\".range[0]\"]=a[0],s[n._name+\".range[1]\"]=a[1]):s[n._name+\".autorange\"]=!0);t.emit(\"plotly_doubleclick\",null),o.call(\"_guiRelayout\",t,s)}}function Ht(){Gt([0,0,$,tt]),s.syncOrAsync([w.previousPromises,function(){t._fullLayout._replotting=!1,o.call(\"_guiRelayout\",t,ft)}],t)}function Gt(e){var r,n,i,a,l=t._fullLayout,c=l._plots,u=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<u.length;r++)if(i=(n=c[u[r]]).xaxis,a=n.yaxis,n._scene){var h=s.simpleMap(i.range,i.r2l),p=s.simpleMap(a.range,a.r2l);n._scene.update({range:[h[0],p[0],h[1],p[1]]})}if((ct||lt)&&(b(t),_(t)),ut){var m=e[2]/P._length,v=e[3]/I._length;for(r=0;r<u.length;r++){i=(n=c[u[r]]).xaxis,a=n.yaxis;var y,x,w,T,k=(ot||rt.isSubplotConstrained)&&!i.fixedrange&&U[i._id],M=(st||rt.isSubplotConstrained)&&!a.fixedrange&&X[a._id];if(k?(y=m,w=g||rt.isSubplotConstrained?e[0]:Xt(i,y)):rt.xaHash[i._id]?(y=m,w=e[0]*i._length/P._length):rt.yaHash[i._id]?(y=v,w=\"ns\"===it?-e[1]*i._length/I._length:Xt(i,y,{n:\"top\",s:\"bottom\"}[it])):w=Wt(i,y=Yt(i,m,v)),M?(x=v,T=d||rt.isSubplotConstrained?e[1]:Xt(a,x)):rt.yaHash[a._id]?(x=v,T=e[1]*a._length/I._length):rt.xaHash[a._id]?(x=m,T=\"ew\"===nt?-e[0]*a._length/P._length:Xt(a,x,{e:\"right\",w:\"left\"}[nt])):T=Wt(a,x=Yt(a,m,v)),y||x){y||(y=1),x||(x=1);var A=i._offset-w/y,S=a._offset-T/x;n.clipRect.call(f.setTranslate,w,T).call(f.setScale,y,x),n.plot.call(f.setTranslate,A,S).call(f.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(f.setPointGroupScale(n.zoomScalePts,y,x),f.setTextPointsScale(n.zoomScaleTxt,y,x)),f.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:ot&&et.xaHash[t._id]?e:st&&(et.isSubplotConstrained?et.xaHash:et.yaHash)[t._id]?r:0}function Wt(t,e){return e?(t.range=t._r.slice(),S(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*x[r||t.constraintoward||\"middle\"]}return d.length*g.length!=1&&Y(xt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Pt(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();vt(),clearTimeout(Ft);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,i=Math.exp(-Math.min(Math.max(r,-20),20)/200),a=Nt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-a.left)/a.width,l=(a.bottom-e.clientY)/a.height;if(ot){for(g||(o=.5),n=0;n<Z.length;n++)c(Z[n],o,i);Ut(\"x\"),Rt[2]*=i,Rt[0]+=Rt[2]*o*(1/i-1)}if(st){for(d||(l=.5),n=0;n<J.length;n++)c(J[n],l,i);Ut(\"y\"),Rt[3]*=i,Rt[1]+=Rt[3]*(1-l)*(1/i-1)}Gt(Rt),Vt(),t.emit(\"plotly_relayouting\",ft),Ft=setTimeout((function(){t._fullLayout&&(Rt=[0,0,$,tt],Ht())}),Bt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),i=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(i+(e-i)*r)}))}}})),xt},makeDragger:I,makeRectDragger:O,makeZoombox:B,makeCorners:N,updateZoombox:j,xyCorners:H,transitionZoombox:U,removeZoombox:V,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},{\"../../components/color\":662,\"../../components/dragelement\":681,\"../../components/dragelement/helpers\":680,\"../../components/drawing\":684,\"../../components/fx\":702,\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/clear_gl_canvases\":783,\"../../lib/setcursor\":820,\"../../lib/svg_text_utils\":824,\"../../plot_api/subroutines\":839,\"../../registry\":927,\"../plots\":913,\"./axes\":849,\"./axis_ids\":853,\"./constants\":856,\"./scale_zoom\":868,\"./select\":869,\"@plotly/d3\":58,\"has-passive-events\":440,tinycolor2:594}],859:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":681,\"../../components/fx\":702,\"../../lib/setcursor\":820,\"./constants\":856,\"./dragbox\":858,\"@plotly/d3\":58}],860:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],861:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{\"../../lib\":799}],862:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":799,\"../../registry\":927,\"./axis_ids\":853}],863:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else if(o)e.xlines=h(r,\"path\",\"xlines-above\"),e.ylines=h(r,\"path\",\"ylines-above\"),e.xaxislayer=h(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=h(r,\"g\",\"yaxislayer-above\");else{var m=h(r,\"g\",\"layer-subplot\");e.shapelayer=h(m,\"g\",\"shapelayer\"),e.imagelayer=h(m,\"g\",\"imagelayer\"),e.gridlayer=h(r,\"g\",\"gridlayer\"),e.zerolinelayer=h(r,\"g\",\"zerolinelayer\"),h(r,\"path\",\"xlines-below\"),h(r,\"path\",\"ylines-below\"),e.overlinesBelow=h(r,\"g\",\"overlines-below\"),h(r,\"g\",\"xaxislayer-below\"),h(r,\"g\",\"yaxislayer-below\"),e.overaxesBelow=h(r,\"g\",\"overaxes-below\"),e.plot=h(r,\"g\",\"plot\"),e.overplot=h(r,\"g\",\"overplot\"),e.xlines=h(r,\"path\",\"xlines-above\"),e.ylines=h(r,\"path\",\"ylines-above\"),e.overlinesAbove=h(r,\"g\",\"overlines-above\"),h(r,\"g\",\"xaxislayer-above\"),h(r,\"g\",\"yaxislayer-above\"),e.overaxesAbove=h(r,\"g\",\"overaxes-above\"),e.xlines=r.select(\".xlines-\"+i),e.ylines=r.select(\".ylines-\"+a),e.xaxislayer=r.select(\".xaxislayer-\"+i),e.yaxislayer=r.select(\".yaxislayer-\"+a)}o||(p(e.gridlayer,\"g\",e.xaxis._id),p(e.gridlayer,\"g\",e.yaxis._id),e.gridlayer.selectAll(\"g\").map((function(t){return t[0]})).sort(c.idSort)),e.xlines.style(\"fill\",\"none\").classed(\"crisp\",!0),e.ylines.style(\"fill\",\"none\").classed(\"crisp\",!0)}function g(t,e){if(t){var r={};for(var i in t.each((function(t){var i=t[0];n.select(this).remove(),v(i,e),r[i]=!0})),e._plots)for(var a=e._plots[i].overlays||[],o=0;o<a.length;o++){var s=a[o];r[s.id]&&s.plot.selectAll(\".trace\").remove()}}}function v(t,e){e._draggers.selectAll(\"g.\"+t).remove(),e._defs.select(\"#clip\"+e._uid+t+\"plot\").remove()}r.name=\"cartesian\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=u.idRegex,r.attrRegex=u.attrRegex,r.attributes=t(\"./attributes\"),r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.transitionAxes=t(\"./transition_axes\"),r.finalizeSubplots=function(t,e){var r,n,i,o=e._subplots,s=o.xaxis,l=o.yaxis,f=o.cartesian,h=f.concat(o.gl2d||[]),p={},d={};for(r=0;r<h.length;r++){var m=h[r].split(\"y\");p[m[0]]=1,d[\"y\"+m[1]]=1}for(r=0;r<s.length;r++)p[n=s[r]]||(i=(t[c.id2name(n)]||{}).anchor,u.idRegex.y.test(i)||(i=\"y\"),f.push(n+i),h.push(n+i),d[i]||(d[i]=1,a.pushUnique(l,i)));for(r=0;r<l.length;r++)d[i=l[r]]||(n=(t[c.id2name(i)]||{}).anchor,u.idRegex.x.test(n)||(n=\"x\"),f.push(n+i),h.push(n+i),p[n]||(p[n]=1,a.pushUnique(s,n)));if(!h.length){for(var g in n=\"\",i=\"\",t){if(u.attrRegex.test(g))\"x\"===g.charAt(0)?(!n||+g.substr(5)<+n.substr(5))&&(n=g):(!i||+g.substr(5)<+i.substr(5))&&(i=g)}n=n?c.name2id(n):\"x\",i=i?c.name2id(i):\"y\",s.push(n),l.push(i),f.push(n+i)}},r.plot=function(t,e,r,n){var i,a=t._fullLayout,o=a._subplots.cartesian,s=t.calcdata;if(!Array.isArray(e))for(e=[],i=0;i<s.length;i++)e.push(i);for(i=0;i<o.length;i++){for(var l,c=o[i],u=a._plots[c],f=[],h=0;h<s.length;h++){var p=s[h],m=p[0].trace;m.xaxis+m.yaxis===c&&((-1!==e.indexOf(m.index)||m.carpet)&&(l&&l[0].trace.xaxis+l[0].trace.yaxis===c&&-1!==[\"tonextx\",\"tonexty\",\"tonext\"].indexOf(m.fill)&&-1===f.indexOf(l)&&f.push(l),f.push(p)),l=p)}d(t,u,f,r,n)}},r.clean=function(t,e,r,n){var i,a,o,s=n._plots||{},l=e._plots||{},u=n._subplots||{};if(n._hasOnlyLargeSploms&&!e._hasOnlyLargeSploms)for(o in s)(i=s[o]).plotgroup&&i.plotgroup.remove();var f=n._has&&n._has(\"gl\"),h=e._has&&e._has(\"gl\");if(f&&!h)for(o in s)(i=s[o])._scene&&i._scene.destroy();if(u.xaxis&&u.yaxis){var p=c.listIds({_fullLayout:n});for(a=0;a<p.length;a++){var d=p[a];e[c.id2name(d)]||n._infolayer.selectAll(\".g-\"+d+\"title\").remove()}}var m=n._has&&n._has(\"cartesian\"),y=e._has&&e._has(\"cartesian\");if(m&&!y)g(n._cartesianlayer.selectAll(\".subplot\"),n),n._defs.selectAll(\".axesclip\").remove(),delete n._axisConstraintGroups,delete n._axisMatchGroups;else if(u.cartesian)for(a=0;a<u.cartesian.length;a++){var x=u.cartesian[a];if(!l[x]){var b=\".\"+x+\",.\"+x+\"-x,.\"+x+\"-y\";n._cartesianlayer.selectAll(b).remove(),v(x,n)}}},r.drawFramework=function(t){var e=t._fullLayout,r=function(t){var e,r,n,i,a,o,s=t._fullLayout,l=s._subplots.cartesian,c=l.length,u=[],f=[];for(e=0;e<c;e++){n=l[e],i=s._plots[n],a=i.xaxis,o=i.yaxis;var h=a._mainAxis,p=o._mainAxis,d=h._id+p._id,m=s._plots[d];i.overlays=[],d!==n&&m?(i.mainplot=d,i.mainplotinfo=m,f.push(n)):(i.mainplot=void 0,i.mainplotinfo=void 0,u.push(n))}for(e=0;e<f.length;e++)n=f[e],(i=s._plots[n]).mainplotinfo.overlays.push(i);var g=u.concat(f),v=new Array(c);for(e=0;e<c;e++){n=g[e],i=s._plots[n],a=i.xaxis,o=i.yaxis;var y=[n,a.layer,o.layer,a.overlaying||\"\",o.overlaying||\"\"];for(r=0;r<i.overlays.length;r++)y.push(i.overlays[r].id);v[e]=y}return v}(t),i=e._cartesianlayer.selectAll(\".subplot\").data(r,String);i.enter().append(\"g\").attr(\"class\",(function(t){return\"subplot \"+t[0]})),i.order(),i.exit().call(g,e),i.each((function(r){var i=r[0],a=e._plots[i];a.plotgroup=n.select(this),m(t,a),a.draglayer=h(e._draggers,\"g\",i)}))},r.rangePlot=function(t,e,r){m(t,e),d(t,e,r),o.style(t)},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:f.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})}))},r.updateFx=t(\"./graph_interact\").updateFx},{\"../../components/drawing\":684,\"../../constants/xmlns_namespaces\":776,\"../../lib\":799,\"../../registry\":927,\"../get_data\":887,\"../plots\":913,\"./attributes\":847,\"./axis_ids\":853,\"./constants\":856,\"./graph_interact\":859,\"./layout_attributes\":864,\"./layout_defaults\":865,\"./transition_axes\":874,\"@plotly/d3\":58}],864:[function(t,e,r){\"use strict\";var n=t(\"../font_attributes\"),i=t(\"../../components/color/attributes\"),a=t(\"../../components/drawing/attributes\").dash,o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/plot_template\").templatedArray,l=t(\"../../plots/cartesian/axis_format_attributes\").descriptionWithDates,c=t(\"../../constants/numerical\").ONEDAY,u=t(\"./constants\"),f=u.HOUR_PATTERN,h=u.WEEKDAY_PATTERN;e.exports={visible:{valType:\"boolean\",editType:\"plot\"},color:{valType:\"color\",dflt:i.defaultLine,editType:\"ticks\"},title:{text:{valType:\"string\",editType:\"ticks\"},font:n({editType:\"ticks\"}),standoff:{valType:\"number\",min:0,editType:\"ticks\"},editType:\"ticks\"},type:{valType:\"enumerated\",values:[\"-\",\"linear\",\"log\",\"date\",\"category\",\"multicategory\"],dflt:\"-\",editType:\"calc\",_noTemplating:!0},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},autorange:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],dflt:!0,editType:\"axrange\",impliedEdits:{\"range[0]\":void 0,\"range[1]\":void 0}},rangemode:{valType:\"enumerated\",values:[\"normal\",\"tozero\",\"nonnegative\"],dflt:\"normal\",editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"axrange\",impliedEdits:{\"^autorange\":!1},anim:!0},{valType:\"any\",editType:\"axrange\",impliedEdits:{\"^autorange\":!1},anim:!0}],editType:\"axrange\",impliedEdits:{autorange:!1},anim:!0},fixedrange:{valType:\"boolean\",dflt:!1,editType:\"calc\"},scaleanchor:{valType:\"enumerated\",values:[u.idRegex.x.toString(),u.idRegex.y.toString()],editType:\"plot\"},scaleratio:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},constrain:{valType:\"enumerated\",values:[\"range\",\"domain\"],editType:\"plot\"},constraintoward:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\",\"top\",\"middle\",\"bottom\"],editType:\"plot\"},matches:{valType:\"enumerated\",values:[u.idRegex.x.toString(),u.idRegex.y.toString()],editType:\"calc\"},rangebreaks:s(\"rangebreak\",{enabled:{valType:\"boolean\",dflt:!0,editType:\"calc\"},bounds:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},pattern:{valType:\"enumerated\",values:[h,f,\"\"],editType:\"calc\"},values:{valType:\"info_array\",freeLength:!0,editType:\"calc\",items:{valType:\"any\",editType:\"calc\"}},dvalue:{valType:\"number\",editType:\"calc\",min:0,dflt:c},editType:\"calc\"}),tickmode:{valType:\"enumerated\",values:[\"auto\",\"linear\",\"array\"],editType:\"ticks\",impliedEdits:{tick0:void 0,dtick:void 0}},nticks:{valType:\"integer\",min:0,dflt:0,editType:\"ticks\"},tick0:{valType:\"any\",editType:\"ticks\",impliedEdits:{tickmode:\"linear\"}},dtick:{valType:\"any\",editType:\"ticks\",impliedEdits:{tickmode:\"linear\"}},tickvals:{valType:\"data_array\",editType:\"ticks\"},ticktext:{valType:\"data_array\",editType:\"ticks\"},ticks:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"\"],editType:\"ticks\"},tickson:{valType:\"enumerated\",values:[\"labels\",\"boundaries\"],dflt:\"labels\",editType:\"ticks\"},ticklabelmode:{valType:\"enumerated\",values:[\"instant\",\"period\"],dflt:\"instant\",editType:\"ticks\"},ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside left\",\"inside left\",\"outside right\",\"inside right\",\"outside bottom\",\"inside bottom\"],dflt:\"outside\",editType:\"calc\"},ticklabeloverflow:{valType:\"enumerated\",values:[\"allow\",\"hide past div\",\"hide past domain\"],editType:\"calc\"},mirror:{valType:\"enumerated\",values:[!0,\"ticks\",!1,\"all\",\"allticks\"],dflt:!1,editType:\"ticks+layoutstyle\"},ticklen:{valType:\"number\",min:0,dflt:5,editType:\"ticks\"},tickwidth:{valType:\"number\",min:0,dflt:1,editType:\"ticks\"},tickcolor:{valType:\"color\",dflt:i.defaultLine,editType:\"ticks\"},showticklabels:{valType:\"boolean\",dflt:!0,editType:\"ticks\"},automargin:{valType:\"boolean\",dflt:!1,editType:\"ticks\"},showspikes:{valType:\"boolean\",dflt:!1,editType:\"modebar\"},spikecolor:{valType:\"color\",dflt:null,editType:\"none\"},spikethickness:{valType:\"number\",dflt:3,editType:\"none\"},spikedash:o({},a,{dflt:\"dash\",editType:\"none\"}),spikemode:{valType:\"flaglist\",flags:[\"toaxis\",\"across\",\"marker\"],dflt:\"toaxis\",editType:\"none\"},spikesnap:{valType:\"enumerated\",values:[\"data\",\"cursor\",\"hovered data\"],dflt:\"hovered data\",editType:\"none\"},tickfont:n({editType:\"ticks\"}),tickangle:{valType:\"angle\",dflt:\"auto\",editType:\"ticks\"},tickprefix:{valType:\"string\",dflt:\"\",editType:\"ticks\"},showtickprefix:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"ticks\"},ticksuffix:{valType:\"string\",dflt:\"\",editType:\"ticks\"},showticksuffix:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"ticks\"},showexponent:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"ticks\"},exponentformat:{valType:\"enumerated\",values:[\"none\",\"e\",\"E\",\"power\",\"SI\",\"B\"],dflt:\"B\",editType:\"ticks\"},minexponent:{valType:\"number\",dflt:3,min:0,editType:\"ticks\"},separatethousands:{valType:\"boolean\",dflt:!1,editType:\"ticks\"},tickformat:{valType:\"string\",dflt:\"\",editType:\"ticks\",description:l(\"tick label\")},tickformatstops:s(\"tickformatstop\",{enabled:{valType:\"boolean\",dflt:!0,editType:\"ticks\"},dtickrange:{valType:\"info_array\",items:[{valType:\"any\",editType:\"ticks\"},{valType:\"any\",editType:\"ticks\"}],editType:\"ticks\"},value:{valType:\"string\",dflt:\"\",editType:\"ticks\"},editType:\"ticks\"}),hoverformat:{valType:\"string\",dflt:\"\",editType:\"none\",description:l(\"hover text\")},showline:{valType:\"boolean\",dflt:!1,editType:\"ticks+layoutstyle\"},linecolor:{valType:\"color\",dflt:i.defaultLine,editType:\"layoutstyle\"},linewidth:{valType:\"number\",min:0,dflt:1,editType:\"ticks+layoutstyle\"},showgrid:{valType:\"boolean\",editType:\"ticks\"},gridcolor:{valType:\"color\",dflt:i.lightLine,editType:\"ticks\"},gridwidth:{valType:\"number\",min:0,dflt:1,editType:\"ticks\"},zeroline:{valType:\"boolean\",editType:\"ticks\"},zerolinecolor:{valType:\"color\",dflt:i.defaultLine,editType:\"ticks\"},zerolinewidth:{valType:\"number\",dflt:1,editType:\"ticks\"},showdividers:{valType:\"boolean\",dflt:!0,editType:\"ticks\"},dividercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"ticks\"},dividerwidth:{valType:\"number\",dflt:1,editType:\"ticks\"},anchor:{valType:\"enumerated\",values:[\"free\",u.idRegex.x.toString(),u.idRegex.y.toString()],editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],editType:\"plot\"},overlaying:{valType:\"enumerated\",values:[\"free\",u.idRegex.x.toString(),u.idRegex.y.toString()],editType:\"plot\"},layer:{valType:\"enumerated\",values:[\"above traces\",\"below traces\"],dflt:\"above traces\",editType:\"plot\"},domain:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},position:{valType:\"number\",min:0,max:1,dflt:0,editType:\"plot\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category ascending\",\"category descending\",\"array\",\"total ascending\",\"total descending\",\"min ascending\",\"min descending\",\"max ascending\",\"max descending\",\"sum ascending\",\"sum descending\",\"mean ascending\",\"mean descending\",\"median ascending\",\"median descending\"],dflt:\"trace\",editType:\"calc\"},categoryarray:{valType:\"data_array\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"calc\",_deprecated:{autotick:{valType:\"boolean\",editType:\"ticks\"},title:{valType:\"string\",editType:\"ticks\"},titlefont:n({editType:\"ticks\"})}}},{\"../../components/color/attributes\":661,\"../../components/drawing/attributes\":683,\"../../constants/numerical\":775,\"../../lib/extend\":789,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/axis_format_attributes\":852,\"../font_attributes\":878,\"./constants\":856}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../components/fx/helpers\").isUnifiedHover,o=t(\"../../components/fx/hovermode_defaults\"),s=t(\"../../plot_api/plot_template\"),l=t(\"../layout_attributes\"),c=t(\"./layout_attributes\"),u=t(\"./type_defaults\"),f=t(\"./axis_defaults\"),h=t(\"./constraints\"),p=t(\"./position_defaults\"),d=t(\"./axis_ids\"),m=d.id2name,g=d.name2id,v=t(\"./constants\").AX_ID_PATTERN,y=t(\"../../registry\"),x=y.traceIs,b=y.getComponentMethod;function _(t,e,r){Array.isArray(t[e])?t[e].push(r):t[e]=[r]}e.exports=function(t,e,r){var y,w,T=e.autotypenumbers,k={},M={},A={},S={},E={},L={},C={},P={},I={},O={};for(y=0;y<r.length;y++){var z=r[y];if(x(z,\"cartesian\")||x(z,\"gl2d\")){var D,R;if(z.xaxis)D=m(z.xaxis),_(k,D,z);else if(z.xaxes)for(w=0;w<z.xaxes.length;w++)_(k,m(z.xaxes[w]),z);if(z.yaxis)R=m(z.yaxis),_(k,R,z);else if(z.yaxes)for(w=0;w<z.yaxes.length;w++)_(k,m(z.yaxes[w]),z);if(\"funnel\"===z.type?\"h\"===z.orientation?(D&&(M[D]=!0),R&&(C[R]=!0)):R&&(A[R]=!0):\"image\"===z.type?(R&&(P[R]=!0),D&&(P[D]=!0)):(R&&(E[R]=!0,L[R]=!0),x(z,\"carpet\")&&(\"carpet\"!==z.type||z._cheater)||D&&(S[D]=!0)),\"carpet\"===z.type&&z._cheater&&D&&(M[D]=!0),x(z,\"2dMap\")&&(I[D]=!0,I[R]=!0),x(z,\"oriented\"))O[\"h\"===z.orientation?R:D]=!0}}var F=e._subplots,B=F.xaxis,N=F.yaxis,j=n.simpleMap(B,m),U=n.simpleMap(N,m),V=j.concat(U),q=i.background;B.length&&N.length&&(q=n.coerce(t,e,l,\"plot_bgcolor\"));var H,G,Y,W,X,Z=i.combine(q,e.paper_bgcolor);function J(){var t=k[H]||[];X._traceIndices=t.map((function(t){return t._expandedIndex})),X._annIndices=[],X._shapeIndices=[],X._imgIndices=[],X._subplotsWith=[],X._counterAxes=[],X._name=X._attr=H,X._id=G}function K(t,e){return n.coerce(W,X,c,t,e)}function Q(t,e){return n.coerce2(W,X,c,t,e)}function $(t){return\"x\"===t?N:B}function tt(e,r){for(var n=\"x\"===e?j:U,i=[],a=0;a<n.length;a++){var o=n[a];o===r||(t[o]||{}).overlaying||i.push(g(o))}return i}var et={x:$(\"x\"),y:$(\"y\")},rt=et.x.concat(et.y),nt={},it=[];function at(){var t=W.matches;v.test(t)&&-1===rt.indexOf(t)&&(nt[t]=W.type,it=Object.keys(nt))}var ot=o(t,e),st=a(ot);for(y=0;y<V.length;y++){H=V[y],G=g(H),Y=H.charAt(0),n.isPlainObject(t[H])||(t[H]={}),W=t[H],X=s.newContainer(e,H,Y+\"axis\"),J();var lt=\"x\"===Y&&!S[H]&&M[H]||\"y\"===Y&&!E[H]&&A[H],ct=\"y\"===Y&&(!L[H]&&C[H]||P[H]),ut={letter:Y,font:e.font,outerTicks:I[H],showGrid:!O[H],data:k[H]||[],bgColor:Z,calendar:e.calendar,automargin:!0,visibleDflt:lt,reverseDflt:ct,autotypenumbersDflt:T,splomStash:((e._splomAxes||{})[Y]||{})[G]};K(\"uirevision\",e.uirevision),u(W,X,K,ut),f(W,X,K,ut,e);var ft=st&&Y===ot.charAt(0),ht=Q(\"spikecolor\",st?X.color:void 0),pt=Q(\"spikethickness\",st?1.5:void 0),dt=Q(\"spikedash\",st?\"dot\":void 0),mt=Q(\"spikemode\",st?\"across\":void 0),gt=Q(\"spikesnap\");K(\"showspikes\",!!(ft||ht||pt||dt||mt||gt))||(delete X.spikecolor,delete X.spikethickness,delete X.spikedash,delete X.spikemode,delete X.spikesnap),p(W,X,K,{letter:Y,counterAxes:et[Y],overlayableAxes:tt(Y,H),grid:e.grid}),K(\"title.standoff\"),at(),X._input=W}for(y=0;y<it.length;){G=it[y++],Y=(H=m(G)).charAt(0),n.isPlainObject(t[H])||(t[H]={}),W=t[H],X=s.newContainer(e,H,Y+\"axis\"),J();var vt={letter:Y,font:e.font,outerTicks:I[H],showGrid:!O[H],data:[],bgColor:Z,calendar:e.calendar,automargin:!0,visibleDflt:!1,reverseDflt:!1,autotypenumbersDflt:T,splomStash:((e._splomAxes||{})[Y]||{})[G]};K(\"uirevision\",e.uirevision),X.type=nt[G]||\"linear\",f(W,X,K,vt,e),p(W,X,K,{letter:Y,counterAxes:et[Y],overlayableAxes:tt(Y,H),grid:e.grid}),K(\"fixedrange\"),at(),X._input=W}var yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)H=j[y],W=t[H],X=e[H],yt(t,e,H),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){H=U[y],W=t[H],X=e[H];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":662,\"../../components/fx/helpers\":698,\"../../components/fx/hovermode_defaults\":701,\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../../registry\":927,\"../layout_attributes\":904,\"./axis_defaults\":851,\"./axis_ids\":853,\"./constants\":856,\"./constraints\":857,\"./layout_attributes\":864,\"./position_defaults\":867,\"./type_defaults\":875}],866:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\").lightFraction,a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i).toRgbString()),h=l(\"gridwidth\");if(r(\"showgrid\",o.showGrid||!!f||!!h)||(delete e.gridcolor,delete e.gridwidth),!o.noZeroLine){var p=l(\"zerolinecolor\",s),d=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!p||!!d)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":661,\"../../lib\":799,tinycolor2:594}],867:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":799,\"fast-isnumeric\":245}],868:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":767}],869:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),M=k.MINSELECT,A=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){F(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=N(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n,i=0;for(n=0;n<t.length;n++)if(e=t[n],(r=e.cd[0].trace).selectedpoints){if(r.selectedpoints.length>1)return!1;if((i+=r.selectedpoints.length)>1)return!1}return 1===i}(s)&&(h=j(_))){for(o&&o.remove(),v=0;v<s.length;v++)(l=s[v])._module.selectPoints(l,!1);U(e,s),B(a),x&&e.emit(\"plotly_deselect\",null)}else{for(d=t.shiftKey&&(void 0!==h?h:j(_)),c=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:r}}(_.pointNumber,_.searchInfo,d),u=R(a.selectionDefs.concat([c])),v=0;v<s.length;v++)if(f=V(s[v]._module.selectPoints(s[v],u),s[v]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if(U(e,s,g={points:b}),c&&a&&a.selectionDefs.push(c),o){var T=a.mergedPolygons,k=p(a.dragmode);m(q(T,k),o,a)}x&&e.emit(\"plotly_selected\",g)}}}function z(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function D(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:t.subtract}}function R(t){for(var e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function U(t,e,r){var n,a,o,s;for(n=0;n<e.length;n++){var l=e[n].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(r){var u=r.points||[];for(n=0;n<e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(n=0;n<u.length;n++){var f=u[n],h=f.data,p=f.fullData;f.pointIndices?([].push.apply(h.selectedpoints,f.pointIndices),s._fullInput!==s&&[].push.apply(p.selectedpoints,f.pointIndices)):(h.selectedpoints.push(f.pointIndex),s._fullInput!==s&&p.selectedpoints.push(f.pointIndex))}}else for(n=0;n<e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var d=!1;for(n=0;n<e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,\"regl\")&&(d=!0);var m=a._module,g=m.styleOnSelect||m.style;g&&(g(t,o,o[0].node3),o[0].nodeRangePlot3&&g(t,o,o[0].nodeRangePlot3))}d&&(w(t),T(t))}function V(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],n,r);return t}function q(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?\"L\":\"M\";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push([\"Z\",r[n][0][1],r[n][0][2]])}return r}e.exports={prepSelect:function(t,e,r,i,l){var c=u(l),v=f(l),x=p(l),_=h(l),w=d(l),T=\"drawcircle\"===l,E=\"drawline\"===l||T,L=i.gd,z=L._fullLayout,D=z._zoomlayer,j=i.element.getBoundingClientRect(),H=i.plotinfo,G=I(H),Y=e-j.left,W=r-j.top;z._calcInverseTransform(L);var X=y.apply3DTransform(z._invTransform)(Y,W);Y=X[0],W=X[1];var Z,J,K,Q,$,tt,et,rt=z._invScaleX,nt=z._invScaleY,it=Y,at=W,ot=\"M\"+Y+\",\"+W,st=i.xaxes[0]._length,lt=i.yaxes[0]._length,ct=i.xaxes.concat(i.yaxes),ut=t.altKey&&!(h(l)&&x);F(t,L,i),c&&(Z=A([[Y,W]],k.BENDPX));var ft=D.selectAll(\"path.select-outline-\"+H.id).data(_?[0]:[1,2]),ht=z.newshape;ft.enter().append(\"path\").attr(\"class\",(function(t){return\"select-outline select-outline-\"+t+\" select-outline-\"+H.id})).style(_?{opacity:ht.opacity/2,fill:x?void 0:ht.fillcolor,stroke:ht.line.color,\"stroke-dasharray\":a(ht.line.dash,ht.line.width),\"stroke-width\":ht.line.width+\"px\"}:{}).attr(\"fill-rule\",ht.fillrule).classed(\"cursor-move\",!!_).attr(\"transform\",G).attr(\"d\",ot+\"Z\");var pt,dt=D.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:o.background,stroke:o.defaultLine,\"stroke-width\":1}).attr(\"transform\",G).attr(\"d\",\"M0,0Z\"),mt=z._uid+k.SELECTID,gt=[],vt=N(L,i.xaxes,i.yaxes,i.subplot);function yt(t,e){return t-e}pt=H.fillRangeItems?H.fillRangeItems:v?function(t,e){var r=t.range={};for($=0;$<ct.length;$++){var n=ct[$],i=n._id.charAt(0);r[n._id]=[C(n,e[i+\"min\"]),C(n,e[i+\"max\"])].sort(yt)}}:function(t,e,r){var n=t.lassoPoints={};for($=0;$<ct.length;$++){var i=ct[$];n[i._id]=r.filtered.map(P(i))}},i.moveFn=function(t,e){it=Math.max(0,Math.min(st,rt*t+Y)),at=Math.max(0,Math.min(lt,nt*e+W));var r=Math.abs(it-Y),a=Math.abs(at-W);if(v){var o,s,l;if(w){var u=z.selectdirection;switch(o=\"any\"===u?a<Math.min(.6*r,M)?\"h\":r<Math.min(.6*a,M)?\"v\":\"d\":u){case\"h\":s=T?lt/2:0,l=lt;break;case\"v\":s=T?st/2:0,l=st}}if(_)switch(z.newshape.drawdirection){case\"vertical\":o=\"h\",s=T?lt/2:0,l=lt;break;case\"horizontal\":o=\"v\",s=T?st/2:0,l=st;break;case\"ortho\":r<a?(o=\"h\",s=W,l=at):(o=\"v\",s=Y,l=it);break;default:o=\"d\"}\"h\"===o?((Q=E?g(T,[it,s],[it,l]):[[Y,s],[Y,l],[it,l],[it,s]]).xmin=E?it:Math.min(Y,it),Q.xmax=E?it:Math.max(Y,it),Q.ymin=Math.min(s,l),Q.ymax=Math.max(s,l),dt.attr(\"d\",\"M\"+Q.xmin+\",\"+(W-M)+\"h-4v\"+2*M+\"h4ZM\"+(Q.xmax-1)+\",\"+(W-M)+\"h4v\"+2*M+\"h-4Z\")):\"v\"===o?((Q=E?g(T,[s,at],[l,at]):[[s,W],[s,at],[l,at],[l,W]]).xmin=Math.min(s,l),Q.xmax=Math.max(s,l),Q.ymin=E?at:Math.min(W,at),Q.ymax=E?at:Math.max(W,at),dt.attr(\"d\",\"M\"+(Y-M)+\",\"+Q.ymin+\"v-4h\"+2*M+\"v4ZM\"+(Y-M)+\",\"+(Q.ymax-1)+\"v4h\"+2*M+\"v-4Z\")):\"d\"===o&&((Q=E?g(T,[Y,W],[it,at]):[[Y,W],[Y,at],[it,at],[it,W]]).xmin=Math.min(Y,it),Q.xmax=Math.max(Y,it),Q.ymin=Math.min(W,at),Q.ymax=Math.max(W,at),dt.attr(\"d\",\"M0,0Z\"))}else c&&(Z.addPt([it,at]),Q=Z.filtered);i.selectionDefs&&i.selectionDefs.length?(K=function(t,e,r){if(r)return n.difference({regions:t,inverted:!1},{regions:[e],inverted:!1}).regions;return n.union({regions:t,inverted:!1},{regions:[e],inverted:!1}).regions}(i.mergedPolygons,Q,ut),Q.subtract=ut,J=R(i.selectionDefs.concat([Q]))):(K=[Q],J=S(Q)),m(q(K,x),ft,i),w&&b.throttle(mt,k.SELECTDELAY,(function(){var t;gt=[];var e,r=[];for($=0;$<vt.length;$++)if(e=(tt=vt[$])._module.selectPoints(tt,J),r.push(e),t=V(e,tt),gt.length)for(var n=0;n<t.length;n++)gt.push(t[n]);else gt=t;U(L,vt,et={points:gt}),pt(et,Q,Z),i.gd.emit(\"plotly_selecting\",et)}))},i.clickFn=function(t,e){if(dt.remove(),L._fullLayout._activeShapeIndex>=0)L._fullLayout._deactivateShape(L);else if(!_){var r=z.clickmode;b.done(mt).then((function(){if(b.clear(mt),2===t){for(ft.remove(),$=0;$<vt.length;$++)(tt=vt[$])._module.selectPoints(tt,!1);U(L,vt),B(i),L.emit(\"plotly_deselect\",null)}else r.indexOf(\"select\")>-1&&O(e,L,i.xaxes,i.yaxes,i.subplot,i,ft),\"event\"===r&&L.emit(\"plotly_selected\",void 0);s.click(L,e)})).catch(y.error)}},i.doneFn=function(){dt.remove(),b.done(mt).then((function(){b.clear(mt),i.gd.emit(\"plotly_selected\",et),Q&&i.selectionDefs&&(Q.subtract=ut,i.selectionDefs.push(Q),i.mergedPolygons.length=0,[].push.apply(i.mergedPolygons,K)),i.doneFnCompleted&&i.doneFnCompleted(gt)})).catch(y.error),_&&B(i)}},clearSelect:E,clearSelectionsCache:B,selectOnClick:O}},{\"../../components/color\":662,\"../../components/dragelement/helpers\":680,\"../../components/drawing\":684,\"../../components/fx\":702,\"../../components/fx/helpers\":698,\"../../components/shapes/draw_newshape/display_outlines\":750,\"../../components/shapes/draw_newshape/helpers\":751,\"../../components/shapes/draw_newshape/newshapes\":752,\"../../lib\":799,\"../../lib/clear_gl_canvases\":783,\"../../lib/polygon\":811,\"../../lib/throttle\":825,\"../../plot_api/subroutines\":839,\"../../registry\":927,\"./axis_ids\":853,\"./constants\":856,\"./handle_outline\":860,\"./helpers\":861,polybooljs:500}],870:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"fast-isnumeric\"),o=t(\"../../lib\"),s=o.cleanNumber,l=o.ms2DateTime,c=o.dateTime2ms,u=o.ensureNumber,f=o.isArrayOrTypedArray,h=t(\"../../constants/numerical\"),p=h.FP_SAFE,d=h.BADNUM,m=h.LOG_CLIP,g=h.ONEWEEK,v=h.ONEDAY,y=h.ONEHOUR,x=h.ONEMIN,b=h.ONESEC,_=t(\"./axis_ids\"),w=t(\"./constants\"),T=w.HOUR_PATTERN,k=w.WEEKDAY_PATTERN;function M(t){return Math.pow(10,t)}function A(t){return null!=t}e.exports=function(t,e){e=e||{};var r=t._id||\"x\",h=r.charAt(0);function S(e,r){if(e>0)return Math.log(e)/Math.LN10;if(e<=0&&r&&t.range&&2===t.range.length){var n=t.range[0],i=t.range[1];return.5*(n+i-2*m*Math.abs(n-i))}return d}function E(e,r,n,i){if((i||{}).msUTC&&a(e))return+e;var s=c(e,n||t.calendar);if(s===d){if(!a(e))return d;e=+e;var l=Math.floor(10*o.mod(e+.05,1)),u=Math.round(e-l/10);s=c(new Date(u))+l/10}return s}function L(e,r,n){return l(e,r,n||t.calendar)}function C(e){return t._categories[Math.round(e)]}function P(e){if(A(e)){if(void 0===t._categoriesMap&&(t._categoriesMap={}),void 0!==t._categoriesMap[e])return t._categoriesMap[e];t._categories.push(\"number\"==typeof e?String(e):e);var r=t._categories.length-1;return t._categoriesMap[e]=r,r}return d}function I(e){if(t._categoriesMap)return t._categoriesMap[e]}function O(t){var e=I(t);return void 0!==e?e:a(t)?+t:void 0}function z(t){return a(t)?+t:I(t)}function D(t,e,r){return n.round(r+e*t,2)}function R(t,e,r){return(t-r)/e}var F=function(e){return a(e)?D(e,t._m,t._b):d},B=function(e){return R(e,t._m,t._b)};if(t.rangebreaks){var N=\"y\"===h;F=function(e){if(!a(e))return d;var r=t._rangebreaks.length;if(!r)return D(e,t._m,t._b);var n=N;t.range[0]>t.range[1]&&(n=!n);for(var i=n?-1:1,o=i*e,s=0,l=0;l<r;l++){var c=i*t._rangebreaks[l].min,u=i*t._rangebreaks[l].max;if(o<c)break;if(!(o>u)){s=o<(c+u)/2?l:l+1;break}s=l+1}var f=t._B[s]||0;return isFinite(f)?D(e,t._m2,f):0},B=function(e){var r=t._rangebreaks.length;if(!r)return R(e,t._m,t._b);for(var n=0,i=0;i<r&&!(e<t._rangebreaks[i].pmin);i++)e>t._rangebreaks[i].pmax&&(n=i+1);return R(e,t._m2,t._B[n])}}t.c2l=\"log\"===t.type?S:u,t.l2c=\"log\"===t.type?M:u,t.l2p=F,t.p2l=B,t.c2p=\"log\"===t.type?function(t,e){return F(S(t,e))}:F,t.p2c=\"log\"===t.type?function(t){return M(B(t))}:B,-1!==[\"linear\",\"-\"].indexOf(t.type)?(t.d2r=t.r2d=t.d2c=t.r2c=t.d2l=t.r2l=s,t.c2d=t.c2r=t.l2d=t.l2r=u,t.d2p=t.r2p=function(e){return t.l2p(s(e))},t.p2d=t.p2r=B,t.cleanPos=u):\"log\"===t.type?(t.d2r=t.d2l=function(t,e){return S(s(t),e)},t.r2d=t.r2c=function(t){return M(s(t))},t.d2c=t.r2l=s,t.c2d=t.l2r=u,t.c2r=S,t.l2d=M,t.d2p=function(e,r){return t.l2p(t.d2r(e,r))},t.p2d=function(t){return M(B(t))},t.r2p=function(e){return t.l2p(s(e))},t.p2r=B,t.cleanPos=u):\"date\"===t.type?(t.d2r=t.r2d=o.identity,t.d2c=t.r2c=t.d2l=t.r2l=E,t.c2d=t.c2r=t.l2d=t.l2r=L,t.d2p=t.r2p=function(e,r,n){return t.l2p(E(e,0,n))},t.p2d=t.p2r=function(t,e,r){return L(B(t),e,r)},t.cleanPos=function(e){return o.cleanDate(e,d,t.calendar)}):\"category\"===t.type?(t.d2c=t.d2l=P,t.r2d=t.c2d=t.l2d=C,t.d2r=t.d2l_noadd=O,t.r2c=function(e){var r=z(e);return void 0!==r?r:t.fraction2r(.5)},t.l2r=t.c2r=u,t.r2l=z,t.d2p=function(e){return t.l2p(t.r2c(e))},t.p2d=function(t){return C(B(t))},t.r2p=t.d2p,t.p2r=B,t.cleanPos=function(t){return\"string\"==typeof t&&\"\"!==t?t:u(t)}):\"multicategory\"===t.type&&(t.r2d=t.c2d=t.l2d=C,t.d2r=t.d2l_noadd=O,t.r2c=function(e){var r=O(e);return void 0!==r?r:t.fraction2r(.5)},t.r2c_just_indices=I,t.l2r=t.c2r=u,t.r2l=O,t.d2p=function(e){return t.l2p(t.r2c(e))},t.p2d=function(t){return C(B(t))},t.r2p=t.d2p,t.p2r=B,t.cleanPos=function(t){return Array.isArray(t)||\"string\"==typeof t&&\"\"!==t?t:u(t)},t.setupMultiCategory=function(n){var i,a,s=t._traceIndices,l=t._matchGroup;if(l&&0===t._categories.length)for(var c in l)if(c!==r){var u=e[_.id2name(c)];s=s.concat(u._traceIndices)}var p=[[0,{}],[0,{}]],d=[];for(i=0;i<s.length;i++){var m=n[s[i]];if(h in m){var g=m[h],v=m._length||o.minRowLength(g);if(f(g[0])&&f(g[1]))for(a=0;a<v;a++){var y=g[0][a],x=g[1][a];A(y)&&A(x)&&(d.push([y,x]),y in p[0][1]||(p[0][1][y]=p[0][0]++),x in p[1][1]||(p[1][1][x]=p[1][0]++))}}}for(d.sort((function(t,e){var r=p[0][1],n=r[t[0]]-r[e[0]];if(n)return n;var i=p[1][1];return i[t[1]]-i[e[1]]})),i=0;i<d.length;i++)P(d[i])}),t.fraction2r=function(e){var r=t.r2l(t.range[0]),n=t.r2l(t.range[1]);return t.l2r(r+e*(n-r))},t.r2fraction=function(e){var r=t.r2l(t.range[0]),n=t.r2l(t.range[1]);return(t.r2l(e)-r)/(n-r)},t.cleanRange=function(e,r){r||(r={}),e||(e=\"range\");var n,i,s=o.nestedProperty(t,e).get();if(i=(i=\"date\"===t.type?o.dfltRange(t.calendar):\"y\"===h?w.DFLTRANGEY:r.dfltRange||w.DFLTRANGEX).slice(),\"tozero\"!==t.rangemode&&\"nonnegative\"!==t.rangemode||(i[0]=0),s&&2===s.length)for(\"date\"!==t.type||t.autorange||(s[0]=o.cleanDate(s[0],d,t.calendar),s[1]=o.cleanDate(s[1],d,t.calendar)),n=0;n<2;n++)if(\"date\"===t.type){if(!o.isDateTime(s[n],t.calendar)){t[e]=i;break}if(t.r2l(s[0])===t.r2l(s[1])){var l=o.constrain(t.r2l(s[0]),o.MIN_MS+1e3,o.MAX_MS-1e3);s[0]=t.l2r(l-1e3),s[1]=t.l2r(l+1e3);break}}else{if(!a(s[n])){if(!a(s[1-n])){t[e]=i;break}s[n]=s[1-n]*(n?10:.1)}if(s[n]<-p?s[n]=-p:s[n]>p&&(s[n]=p),s[0]===s[1]){var c=Math.max(1,Math.abs(1e-6*s[0]));s[0]-=c,s[1]+=c}}else o.nestedProperty(t,e).set(i)},t.setScale=function(r){var n=e._size;if(t.overlaying){var i=_.getFromId({_fullLayout:e},t.overlaying);t.domain=i.domain}var a=r&&t._r?\"_r\":\"range\",o=t.calendar;t.cleanRange(a);var s,l,c=t.r2l(t[a][0],o),u=t.r2l(t[a][1],o),f=\"y\"===h;if((f?(t._offset=n.t+(1-t.domain[1])*n.h,t._length=n.h*(t.domain[1]-t.domain[0]),t._m=t._length/(c-u),t._b=-t._m*u):(t._offset=n.l+t.domain[0]*n.w,t._length=n.w*(t.domain[1]-t.domain[0]),t._m=t._length/(u-c),t._b=-t._m*c),t._rangebreaks=[],t._lBreaks=0,t._m2=0,t._B=[],t.rangebreaks)&&(t._rangebreaks=t.locateBreaks(Math.min(c,u),Math.max(c,u)),t._rangebreaks.length)){for(s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._lBreaks+=Math.abs(l.max-l.min);var p=f;c>u&&(p=!p),p&&t._rangebreaks.reverse();var d=p?-1:1;for(t._m2=d*t._length/(Math.abs(u-c)-t._lBreaks),t._B.push(-t._m2*(f?u:c)),s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._B.push(t._B[t._B.length-1]-d*t._m2*(l.max-l.min));for(s=0;s<t._rangebreaks.length;s++)(l=t._rangebreaks[s]).pmin=F(l.min),l.pmax=F(l.max)}if(!isFinite(t._m)||!isFinite(t._b)||t._length<0)throw e._replotting=!1,new Error(\"Something went wrong with axis scaling\")},t.maskBreaks=function(e){var r,n,i,a,l,c=t.rangebreaks||[];c._cachedPatterns||(c._cachedPatterns=c.map((function(e){return e.enabled&&e.bounds?o.simpleMap(e.bounds,e.pattern?s:t.d2c):null}))),c._cachedValues||(c._cachedValues=c.map((function(e){return e.enabled&&e.values?o.simpleMap(e.values,t.d2c).sort(o.sorterAsc):null})));for(var u=0;u<c.length;u++){var f=c[u];if(f.enabled)if(f.bounds){var h=f.pattern;switch(n=(r=c._cachedPatterns[u])[0],i=r[1],h){case k:a=(l=new Date(e)).getUTCDay(),n>i&&(i+=7,a<n&&(a+=7));break;case T:a=(l=new Date(e)).getUTCHours()+(l.getUTCMinutes()/60+l.getUTCSeconds()/3600+l.getUTCMilliseconds()/36e5),n>i&&(i+=24,a<n&&(a+=24));break;case\"\":a=e}if(a>=n&&a<i)return d}else for(var p=c._cachedValues[u],m=0;m<p.length;m++)if(i=(n=p[m])+f.dvalue,e>=n&&e<i)return d}return e},t.locateBreaks=function(e,r){var n,i,a,l,c=[];if(!t.rangebreaks)return c;var u=t.rangebreaks.slice().sort((function(t,e){return t.pattern===k&&e.pattern===T?-1:e.pattern===k&&t.pattern===T?1:0})),f=function(t,n){if((t=o.constrain(t,e,r))!==(n=o.constrain(n,e,r))){for(var i=!0,a=0;a<c.length;a++){var s=c[a];t<s.max&&n>=s.min&&(t<s.min&&(s.min=t),n>s.max&&(s.max=n),i=!1)}i&&c.push({min:t,max:n})}};for(n=0;n<u.length;n++){var h=u[n];if(h.enabled)if(h.bounds){var p=e,d=r;h.pattern&&(p=Math.floor(p)),a=(i=o.simpleMap(h.bounds,h.pattern?s:t.r2l))[0],l=i[1];var m,_,w=new Date(p);switch(h.pattern){case k:_=g,m=(l-a+(l<a?7:0))*v,p+=a*v-(w.getUTCDay()*v+w.getUTCHours()*y+w.getUTCMinutes()*x+w.getUTCSeconds()*b+w.getUTCMilliseconds());break;case T:_=v,m=(l-a+(l<a?24:0))*y,p+=a*y-(w.getUTCHours()*y+w.getUTCMinutes()*x+w.getUTCSeconds()*b+w.getUTCMilliseconds());break;default:p=Math.min(i[0],i[1]),m=_=(d=Math.max(i[0],i[1]))-p}for(var M=p;M<d;M+=_)f(M,M+m)}else for(var A=o.simpleMap(h.values,t.d2c),S=0;S<A.length;S++)f(a=A[S],l=a+h.dvalue)}return c.sort((function(t,e){return t.min-e.min})),c},t.makeCalcdata=function(e,r,n){var i,a,s,l,c=t.type,u=\"date\"===c&&e[r+\"calendar\"];if(r in e){if(i=e[r],l=e._length||o.minRowLength(i),o.isTypedArray(i)&&(\"linear\"===c||\"log\"===c)){if(l===i.length)return i;if(i.subarray)return i.subarray(0,l)}if(\"multicategory\"===c)return function(t,e){for(var r=new Array(e),n=0;n<e;n++){var i=(t[0]||[])[n],a=(t[1]||[])[n];r[n]=I([i,a])}return r}(i,l);for(a=new Array(l),s=0;s<l;s++)a[s]=t.d2c(i[s],0,u,n)}else{var f=r+\"0\"in e?t.d2c(e[r+\"0\"],0,u):0,h=e[\"d\"+r]?Number(e[\"d\"+r]):1;for(i=e[{x:\"y\",y:\"x\"}[r]],l=e._length||i.length,a=new Array(l),s=0;s<l;s++)a[s]=f+s*h}if(t.rangebreaks)for(s=0;s<l;s++)a[s]=t.maskBreaks(a[s]);return a},t.isValidRange=function(e){return Array.isArray(e)&&2===e.length&&a(t.r2l(e[0]))&&a(t.r2l(e[1]))},t.isPtWithinRange=function(e,r){var n=t.c2l(e[h],null,r),i=t.r2l(t.range[0]),a=t.r2l(t.range[1]);return i<a?i<=n&&n<=a:a<=n&&n<=i},t._emptyCategories=function(){t._categories=[],t._categoriesMap={}},t.clearCalc=function(){var r=t._matchGroup;if(r){var n=null,i=null;for(var a in r){var o=e[_.id2name(a)];if(o._categories){n=o._categories,i=o._categoriesMap;break}}n&&i?(t._categories=n,t._categoriesMap=i):t._emptyCategories()}else t._emptyCategories();if(t._initialCategories)for(var s=0;s<t._initialCategories.length;s++)P(t._initialCategories[s])},t.sortByInitialCategories=function(){var n=[];if(t._emptyCategories(),t._initialCategories)for(var i=0;i<t._initialCategories.length;i++)P(t._initialCategories[i]);n=n.concat(t._traceIndices);var a=t._matchGroup;for(var o in a)if(r!==o){var s=e[_.id2name(o)];s._categories=t._categories,s._categoriesMap=t._categoriesMap,n=n.concat(s._traceIndices)}return n};var j=e._d3locale;\"date\"===t.type&&(t._dateFormat=j?j.timeFormat:i,t._extraFormat=e._extraFormat),t._separators=e.separators,t._numFormat=j?j.numberFormat:n.format,delete t._minDtick,delete t._forceTick0}},{\"../../constants/numerical\":775,\"../../lib\":799,\"./axis_ids\":853,\"./constants\":856,\"@plotly/d3\":58,\"d3-time-format\":172,\"fast-isnumeric\":245}],871:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").contrast,a=t(\"./layout_attributes\"),o=t(\"../array_container_defaults\");function s(t){var e=[\"showexponent\",\"showtickprefix\",\"showticksuffix\"].filter((function(e){return void 0!==t[e]}));if(e.every((function(r){return t[r]===t[e[0]]}))||1===e.length)return t[e[0]]}function l(t,e){function r(r,i){return n.coerce(t,e,a.tickformatstops,r,i)}r(\"enabled\")&&(r(\"dtickrange\"),r(\"value\"))}e.exports=function(t,e,r,c,u,f){f&&1!==f.pass||function(t,e,r,n,i){var a=s(t);r(\"tickprefix\")&&r(\"showtickprefix\",a);r(\"ticksuffix\",i.tickSuffixDflt)&&r(\"showticksuffix\",a)}(t,0,r,0,u),f&&2!==f.pass||function(t,e,r,c,u){var f=s(t);r(\"tickprefix\")&&r(\"showtickprefix\",f);r(\"ticksuffix\",u.tickSuffixDflt)&&r(\"showticksuffix\",f);if(r(\"showticklabels\")){var h=u.font||{},p=e.color,d=-1!==(e.ticklabelposition||\"\").indexOf(\"inside\")?i(u.bgColor):p&&p!==a.color.dflt?p:h.color;if(n.coerceFont(r,\"tickfont\",{family:h.family,size:h.size,color:d}),r(\"tickangle\"),\"category\"!==c){var m=r(\"tickformat\");o(t,e,{name:\"tickformatstops\",inclusionAttr:\"enabled\",handleItemDefaults:l}),e.tickformatstops.length||delete e.tickformatstops,m||\"date\"===c||(r(\"showexponent\",f),r(\"exponentformat\"),r(\"minexponent\"),r(\"separatethousands\"))}}}(t,e,r,c,u)}},{\"../../components/color\":662,\"../../lib\":799,\"../array_container_defaults\":844,\"./layout_attributes\":864}],872:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e,r,a){var o=n.coerce2(t,e,i,\"ticklen\"),s=n.coerce2(t,e,i,\"tickwidth\"),l=n.coerce2(t,e,i,\"tickcolor\",e.color);r(\"ticks\",a.outerTicks||o||s||l?\"outside\":\"\")||(delete e.ticklen,delete e.tickwidth,delete e.tickcolor)}},{\"../../lib\":799,\"./layout_attributes\":864}],873:[function(t,e,r){\"use strict\";var n=t(\"./clean_ticks\"),i=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t,e,r,a){function o(r){var n=t[r];return void 0!==n?n:(e._template||{})[r]}var s=o(\"tick0\"),l=o(\"dtick\"),c=o(\"tickvals\"),u=r(\"tickmode\",i(c)?\"array\":l?\"linear\":\"auto\");if(\"auto\"===u)r(\"nticks\");else if(\"linear\"===u){var f=e.dtick=n.dtick(l,a);e.tick0=n.tick0(s,a,e.calendar,f)}else if(\"multicategory\"!==a){void 0===r(\"tickvals\")?e.tickmode=\"auto\":r(\"ticktext\")}}},{\"../../lib\":799,\"./clean_ticks\":855}],874:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../components/drawing\"),s=t(\"./axes\");e.exports=function(t,e,r,l){var c=t._fullLayout;if(0!==e.length){var u,f,h,p;l&&(u=l());var d=n.ease(r.easing);return t._transitionData._interruptCallbacks.push((function(){return window.cancelAnimationFrame(p),p=null,function(){for(var r={},n=0;n<e.length;n++){var a=e[n],o=a.plotinfo.xaxis,s=a.plotinfo.yaxis;a.xr0&&(r[o._name+\".range\"]=a.xr0.slice()),a.yr0&&(r[s._name+\".range\"]=a.yr0.slice())}return i.call(\"relayout\",t,r).then((function(){for(var t=0;t<e.length;t++)m(e[t].plotinfo)}))}()})),f=Date.now(),p=window.requestAnimationFrame((function n(){h=Date.now();for(var a=Math.min(1,(h-f)/r.duration),o=d(a),s=0;s<e.length;s++)g(e[s],o);h-f>r.duration?(!function(){for(var r={},n=0;n<e.length;n++){var a=e[n],o=a.plotinfo.xaxis,s=a.plotinfo.yaxis;a.xr1&&(r[o._name+\".range\"]=a.xr1.slice()),a.yr1&&(r[s._name+\".range\"]=a.yr1.slice())}u&&u(),i.call(\"relayout\",t,r).then((function(){for(var t=0;t<e.length;t++)m(e[t].plotinfo)}))}(),p=window.cancelAnimationFrame(n)):p=window.requestAnimationFrame(n)})),Promise.resolve()}function m(t){var e=t.xaxis,r=t.yaxis;c._defs.select(\"#\"+t.clipId+\"> rect\").call(o.setTranslate,0,0).call(o.setScale,1,1),t.plot.call(o.setTranslate,e._offset,r._offset).call(o.setScale,1,1);var n=t.plot.selectAll(\".scatterlayer .trace\");n.selectAll(\".point\").call(o.setPointGroupScale,1,1),n.selectAll(\".textpoint\").call(o.setTextPointsScale,1,1),n.call(o.hideOutsideRangePoints,t)}function g(e,r){var n=e.plotinfo,i=n.xaxis,l=n.yaxis,c=i._length,u=l._length,f=!!e.xr1,h=!!e.yr1,p=[];if(f){var d=a.simpleMap(e.xr0,i.r2l),m=a.simpleMap(e.xr1,i.r2l),g=d[1]-d[0],v=m[1]-m[0];p[0]=(d[0]*(1-r)+r*m[0]-d[0])/(d[1]-d[0])*c,p[2]=c*(1-r+r*v/g),i.range[0]=i.l2r(d[0]*(1-r)+r*m[0]),i.range[1]=i.l2r(d[1]*(1-r)+r*m[1])}else p[0]=0,p[2]=c;if(h){var y=a.simpleMap(e.yr0,l.r2l),x=a.simpleMap(e.yr1,l.r2l),b=y[1]-y[0],_=x[1]-x[0];p[1]=(y[1]*(1-r)+r*x[1]-y[1])/(y[0]-y[1])*u,p[3]=u*(1-r+r*_/b),l.range[0]=i.l2r(y[0]*(1-r)+r*x[0]),l.range[1]=l.l2r(y[1]*(1-r)+r*x[1])}else p[1]=0,p[3]=u;s.drawOne(t,i,{skipTitle:!0}),s.drawOne(t,l,{skipTitle:!0}),s.redrawComponents(t,[i._id,l._id]);var w=f?c/p[2]:1,T=h?u/p[3]:1,k=f?p[0]:0,M=h?p[1]:0,A=f?p[0]/p[2]*c:0,S=h?p[1]/p[3]*u:0,E=i._offset-A,L=l._offset-S;n.clipRect.call(o.setTranslate,k,M).call(o.setScale,1/w,1/T),n.plot.call(o.setTranslate,E,L).call(o.setScale,w,T),o.setPointGroupScale(n.zoomScalePts,1/w,1/T),o.setTextPointsScale(n.zoomScaleTxt,1/w,1/T)}s.redrawComponents(t)}},{\"../../components/drawing\":684,\"../../lib\":799,\"../../registry\":927,\"./axes\":849,\"@plotly/d3\":58}],875:[function(t,e,r){\"use strict\";var n=t(\"../../registry\").traceIs,i=t(\"./axis_autotype\");function a(t){return{v:\"x\",h:\"y\"}[t.orientation||\"v\"]}function o(t,e){var r=a(t),i=n(t,\"box-violin\"),o=n(t._fullInput||{},\"candlestick\");return i&&!o&&e===r&&void 0===t[r]&&void 0===t[r+\"0\"]}e.exports=function(t,e,r,s){r(\"autotypenumbers\",s.autotypenumbersDflt),\"-\"===r(\"type\",(s.splomStash||{}).type)&&(!function(t,e){if(\"-\"!==t.type)return;var r,s=t._id,l=s.charAt(0);-1!==s.indexOf(\"scene\")&&(s=l);var c=function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n];if(\"splom\"===i.type&&i._length>0&&(i[\"_\"+r+\"axes\"]||{})[e])return i;if((i[r+\"axis\"]||r)===e){if(o(i,r))return i;if((i[r]||[]).length||i[r+\"0\"])return i}}}(e,s,l);if(!c)return;if(\"histogram\"===c.type&&l==={v:\"y\",h:\"x\"}[c.orientation||\"v\"])return void(t.type=\"linear\");var u=l+\"calendar\",f=c[u],h={noMultiCategory:!n(c,\"cartesian\")||n(c,\"noMultiCategory\")};\"box\"===c.type&&c._hasPreCompStats&&l==={h:\"x\",v:\"y\"}[c.orientation||\"v\"]&&(h.noMultiCategory=!0);if(h.autotypenumbers=t.autotypenumbers,o(c,l)){var p=a(c),d=[];for(r=0;r<e.length;r++){var m=e[r];n(m,\"box-violin\")&&(m[l+\"axis\"]||l)===s&&(void 0!==m[p]?d.push(m[p][0]):void 0!==m.name?d.push(m.name):d.push(\"text\"),m[u]!==f&&(f=void 0))}t.type=i(d,f,h)}else if(\"splom\"===c.type){var g=c.dimensions[c._axesDim[s]];g.visible&&(t.type=i(g.values,f,h))}else t.type=i(c[l]||[c[l+\"0\"]],f,h)}(e,s.data),\"-\"===e.type?e.type=\"linear\":t.type=e.type)}},{\"../../registry\":927,\"./axis_autotype\":850}],876:[function(t,e,r){\"use strict\";var n=t(\"../registry\"),i=t(\"../lib\");function a(t,e,r){var n,a,o,s=!1;if(\"data\"===e.type)n=t._fullData[null!==e.traces?e.traces[0]:0];else{if(\"layout\"!==e.type)return!1;n=t._fullLayout}return a=i.nestedProperty(n,e.prop).get(),(o=r[e.type]=r[e.type]||{}).hasOwnProperty(e.prop)&&o[e.prop]!==a&&(s=!0),o[e.prop]=a,{changed:s,value:a}}function o(t,e){var r=[],n=e[0],a={};if(\"string\"==typeof n)a[n]=e[1];else{if(!i.isPlainObject(n))return r;a=n}return l(a,(function(t,e,n){r.push({type:\"layout\",prop:t,value:n})}),\"\",0),r}function s(t,e){var r,n,a,o,s=[];if(n=e[0],a=e[1],r=e[2],o={},\"string\"==typeof n)o[n]=a;else{if(!i.isPlainObject(n))return s;o=n,void 0===r&&(r=a)}return void 0===r&&(r=null),l(o,(function(e,n,i){var a,o;if(Array.isArray(i)){o=i.slice();var l=Math.min(o.length,t.data.length);r&&(l=Math.min(l,r.length)),a=[];for(var c=0;c<l;c++)a[c]=r?r[c]:c}else o=i,a=r?r.slice():null;if(null===a)Array.isArray(o)&&(o=o[0]);else if(Array.isArray(a)){if(!Array.isArray(o)){var u=o;o=[];for(var f=0;f<a.length;f++)o[f]=u}o.length=Math.min(a.length,o.length)}s.push({type:\"data\",prop:e,traces:a,value:o})}),\"\",0),s}function l(t,e,r,n){Object.keys(t).forEach((function(a){var o=t[a];if(\"_\"!==a[0]){var s=r+(n>0?\".\":\"\")+a;i.isPlainObject(o)?l(o,e,s,n+1):e(s,a,o)}}))}r.manageCommandObserver=function(t,e,n,o){var s={},l=!0;e&&e._commandObserver&&(s=e._commandObserver),s.cache||(s.cache={}),s.lookupTable={};var c=r.hasSimpleAPICommandBindings(t,n,s.lookupTable);if(e&&e._commandObserver){if(c)return s;if(e._commandObserver.remove)return e._commandObserver.remove(),e._commandObserver=null,s}if(c){a(t,c,s.cache),s.check=function(){if(l){var e=a(t,c,s.cache);return e.changed&&o&&void 0!==s.lookupTable[e.value]&&(s.disable(),Promise.resolve(o({value:e.value,type:c.type,prop:c.prop,traces:c.traces,index:s.lookupTable[e.value]})).then(s.enable,s.enable)),e.changed}};for(var u=[\"plotly_relayout\",\"plotly_redraw\",\"plotly_restyle\",\"plotly_update\",\"plotly_animatingframe\",\"plotly_afterplot\"],f=0;f<u.length;f++)t._internalOn(u[f],s.check);s.remove=function(){for(var e=0;e<u.length;e++)t._removeInternalListener(u[e],s.check)}}else i.log(\"Unable to automatically bind plot updates to API command\"),s.lookupTable={},s.remove=function(){};return s.disable=function(){l=!1},s.enable=function(){l=!0},e&&(e._commandObserver=s),s},r.hasSimpleAPICommandBindings=function(t,e,n){var i,a,o=e.length;for(i=0;i<o;i++){var s,l=e[i],c=l.method,u=l.args;if(Array.isArray(u)||(u=[]),!c)return!1;var f=r.computeAPICommandBindings(t,c,u);if(1!==f.length)return!1;if(a){if((s=f[0]).type!==a.type)return!1;if(s.prop!==a.prop)return!1;if(Array.isArray(a.traces)){if(!Array.isArray(s.traces))return!1;s.traces.sort();for(var h=0;h<a.traces.length;h++)if(a.traces[h]!==s.traces[h])return!1}else if(s.prop!==a.prop)return!1}else a=f[0],Array.isArray(a.traces)&&a.traces.sort();var p=(s=f[0]).value;if(Array.isArray(p)){if(1!==p.length)return!1;p=p[0]}n&&(n[p]=i)}return a},r.executeAPICommand=function(t,e,r){if(\"skip\"===e)return Promise.resolve();var a=n.apiMethodRegistry[e],o=[t];Array.isArray(r)||(r=[]);for(var s=0;s<r.length;s++)o.push(r[s]);return a.apply(null,o).catch((function(t){return i.warn(\"API call to Plotly.\"+e+\" rejected.\",t),Promise.reject(t)}))},r.computeAPICommandBindings=function(t,e,r){var n;switch(Array.isArray(r)||(r=[]),e){case\"restyle\":n=s(t,r);break;case\"relayout\":n=o(t,r);break;case\"update\":n=s(t,[r[0],r[2]]).concat(o(t,[r[1]]));break;case\"animate\":n=function(t,e){return Array.isArray(e[0])&&1===e[0].length&&-1!==[\"string\",\"number\"].indexOf(typeof e[0][0])?[{type:\"layout\",prop:\"_currentFrame\",value:e[0][0].toString()}]:[]}(0,r);break;default:n=[]}return n}},{\"../lib\":799,\"../registry\":927}],877:[function(t,e,r){\"use strict\";var n=t(\"../lib/extend\").extendFlat;r.attributes=function(t,e){e=e||{};var r={valType:\"info_array\",editType:(t=t||{}).editType,items:[{valType:\"number\",min:0,max:1,editType:t.editType},{valType:\"number\",min:0,max:1,editType:t.editType}],dflt:[0,1]},i=(t.name&&t.name,t.trace,e.description&&e.description,{x:n({},r,{}),y:n({},r,{}),editType:t.editType});return t.noGridCell||(i.row={valType:\"integer\",min:0,dflt:0,editType:t.editType},i.column={valType:\"integer\",min:0,dflt:0,editType:t.editType}),i},r.defaults=function(t,e,r,n){var i=n&&n.x||[0,1],a=n&&n.y||[0,1],o=e.grid;if(o){var s=r(\"domain.column\");void 0!==s&&(s<o.columns?i=o._domains.x[s]:delete t.domain.column);var l=r(\"domain.row\");void 0!==l&&(l<o.rows?a=o._domains.y[l]:delete t.domain.row)}var c=r(\"domain.x\",i),u=r(\"domain.y\",a);c[0]<c[1]||(t.domain.x=i.slice()),u[0]<u[1]||(t.domain.y=a.slice())}},{\"../lib/extend\":789}],878:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.editType,r=t.colorEditType;void 0===r&&(r=e);var n={family:{valType:\"string\",noBlank:!0,strict:!0,editType:e},size:{valType:\"number\",min:1,editType:e},color:{valType:\"color\",editType:r},editType:e};return t.arrayOk&&(n.family.arrayOk=!0,n.size.arrayOk=!0,n.color.arrayOk=!0),n}},{}],879:[function(t,e,r){\"use strict\";e.exports={_isLinkedToArray:\"frames_entry\",group:{valType:\"string\"},name:{valType:\"string\"},traces:{valType:\"any\"},baseframe:{valType:\"string\"},data:{valType:\"any\"},layout:{valType:\"any\"}}},{}],880:[function(t,e,r){\"use strict\";r.projNames={equirectangular:\"equirectangular\",mercator:\"mercator\",orthographic:\"orthographic\",\"natural earth\":\"naturalEarth\",kavrayskiy7:\"kavrayskiy7\",miller:\"miller\",robinson:\"robinson\",eckert4:\"eckert4\",\"azimuthal equal area\":\"azimuthalEqualArea\",\"azimuthal equidistant\":\"azimuthalEquidistant\",\"conic equal area\":\"conicEqualArea\",\"conic conformal\":\"conicConformal\",\"conic equidistant\":\"conicEquidistant\",gnomonic:\"gnomonic\",stereographic:\"stereographic\",mollweide:\"mollweide\",hammer:\"hammer\",\"transverse mercator\":\"transverseMercator\",\"albers usa\":\"albersUsa\",\"winkel tripel\":\"winkel3\",aitoff:\"aitoff\",sinusoidal:\"sinusoidal\"},r.axesNames=[\"lonaxis\",\"lataxis\"],r.lonaxisSpan={orthographic:180,\"azimuthal equal area\":360,\"azimuthal equidistant\":360,\"conic conformal\":180,gnomonic:160,stereographic:180,\"transverse mercator\":180,\"*\":360},r.lataxisSpan={\"conic conformal\":150,stereographic:179.5,\"*\":180},r.scopeDefaults={world:{lonaxisRange:[-180,180],lataxisRange:[-90,90],projType:\"equirectangular\",projRotate:[0,0,0]},usa:{lonaxisRange:[-180,-50],lataxisRange:[15,80],projType:\"albers usa\"},europe:{lonaxisRange:[-30,60],lataxisRange:[30,85],projType:\"conic conformal\",projRotate:[15,0,0],projParallels:[0,60]},asia:{lonaxisRange:[22,160],lataxisRange:[-15,55],projType:\"mercator\",projRotate:[0,0,0]},africa:{lonaxisRange:[-30,60],lataxisRange:[-40,40],projType:\"mercator\",projRotate:[0,0,0]},\"north america\":{lonaxisRange:[-180,-45],lataxisRange:[5,85],projType:\"conic conformal\",projRotate:[-100,0,0],projParallels:[29.5,45.5]},\"south america\":{lonaxisRange:[-100,-30],lataxisRange:[-60,15],projType:\"mercator\",projRotate:[0,0,0]}},r.clipPad=.001,r.precision=.1,r.landColor=\"#F0DC82\",r.waterColor=\"#3399FF\",r.locationmodeToLayer={\"ISO-3\":\"countries\",\"USA-states\":\"subunits\",\"country names\":\"countries\"},r.sphereSVG={type:\"Sphere\"},r.fillLayers={ocean:1,land:1,lakes:1},r.lineLayers={subunits:1,countries:1,coastlines:1,rivers:1,frame:1},r.layers=[\"bg\",\"ocean\",\"land\",\"lakes\",\"subunits\",\"countries\",\"coastlines\",\"rivers\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"frontplot\"],r.layersForChoropleth=[\"bg\",\"ocean\",\"land\",\"subunits\",\"countries\",\"coastlines\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"rivers\",\"lakes\",\"frontplot\"],r.layerNameToAdjective={ocean:\"ocean\",land:\"land\",lakes:\"lake\",subunits:\"subunit\",countries:\"country\",coastlines:\"coastline\",rivers:\"river\",frame:\"frame\"}},{}],881:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=a.strTranslate,s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../../components/fx\"),u=t(\"../plots\"),f=t(\"../cartesian/axes\"),h=t(\"../cartesian/autorange\").getAutoRange,p=t(\"../../components/dragelement\"),d=t(\"../cartesian/select\").prepSelect,m=t(\"../cartesian/select\").clearSelect,g=t(\"../cartesian/select\").selectOnClick,v=t(\"./zoom\"),y=t(\"./constants\"),x=t(\"../../lib/geo_location_utils\"),b=t(\"../../lib/topojson_utils\"),_=t(\"topojson-client\").feature;function w(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}t(\"./projections\")(n);var T=w.prototype;function k(t,e){var r=y.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}e.exports=function(t){return new w(t)},T.plot=function(t,e,r){var n=this,i=e[this.id],a=[],o=!1;for(var s in y.layerNameToAdjective)if(\"frame\"!==s&&i[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var c=b.getTopojsonName(i);null!==n.topojson&&c===n.topojsonName||(n.topojsonName=c,void 0===PlotlyGeoAssets.topojson[n.topojsonName]&&a.push(n.fetchTopojson()))}a=a.concat(x.fetchTraceGeoData(t)),r.push(new Promise((function(r,i){Promise.all(a).then((function(){n.topojson=PlotlyGeoAssets.topojson[n.topojsonName],n.update(t,e),r()})).catch(i)})))},T.fetchTopojson=function(){var t=this,e=b.getTopojsonPath(t.topojsonURL,t.topojsonName);return new Promise((function(r,i){n.json(e,(function(n,a){if(n)return 404===n.status?i(new Error([\"plotly.js could not find topojson file at\",e,\".\",\"Make sure the *topojsonURL* plot config option\",\"is set properly.\"].join(\" \"))):i(new Error([\"unexpected error while fetching topojson file at\",e].join(\" \")));PlotlyGeoAssets.topojson[t.topojsonName]=a,r()}))}))},T.update=function(t,e){var r=e[this.id];this.hasChoropleth=!1;for(var n=0;n<t.length;n++){var i=t[n],a=i[0].trace;\"choropleth\"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),u.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},T.updateProjection=function(t,e){var r=this.graphDiv,o=e[this.id],s=e._size,l=o.domain,c=o.projection,u=o.lonaxis,f=o.lataxis,p=u._ax,d=f._ax,m=this.projection=function(t){for(var e=t.projection.type,r=n.geo[y.projNames[e]](),i=t._isClipped?y.lonaxisSpan[e]/2:null,a=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],o=function(t){return t?r:[]},s=0;s<a.length;s++){var l=a[s];\"function\"!=typeof r[l]&&(r[l]=o)}r.isLonLatOverEdges=function(t){if(null===r(t))return!0;if(i){var e=r.rotate();return n.geo.distance(t,[-e[0],-e[1]])>i*Math.PI/180}return!1},r.getPath=function(){return n.geo.path().projection(r)},r.getBounds=function(t){return r.getPath().bounds(t)},r.fitExtent=function(t,e){var n=t[1][0]-t[0][0],i=t[1][1]-t[0][1],a=r.clipExtent&&r.clipExtent();r.scale(150).translate([0,0]),a&&r.clipExtent(null);var o=r.getBounds(e),s=Math.min(n/(o[1][0]-o[0][0]),i/(o[1][1]-o[0][1])),l=+t[0][0]+(n-s*(o[1][0]+o[0][0]))/2,c=+t[0][1]+(i-s*(o[1][1]+o[0][1]))/2;return a&&r.clipExtent(a),r.scale(150*s).translate([l,c])},r.precision(y.precision),i&&r.clipAngle(i-y.clipPad);return r}(o),g=[[s.l+s.w*l.x[0],s.t+s.h*(1-l.y[1])],[s.l+s.w*l.x[1],s.t+s.h*(1-l.y[0])]],v=o.center||{},x=c.rotation||{},b=u.range||[],_=f.range||[];if(o.fitbounds){p._length=g[1][0]-g[0][0],d._length=g[1][1]-g[0][1],p.range=h(r,p),d.range=h(r,d);var w=(p.range[0]+p.range[1])/2,T=(d.range[0]+d.range[1])/2;if(o._isScoped)v={lon:w,lat:T};else if(o._isClipped){v={lon:w,lat:T},x={lon:w,lat:T,roll:x.roll};var M=c.type,A=y.lonaxisSpan[M]/2||180,S=y.lataxisSpan[M]/2||90;b=[w-A,w+A],_=[T-S,T+S]}else v={lon:w,lat:T},x={lon:w,lat:x.lat,roll:x.roll}}m.center([v.lon-x.lon,v.lat-x.lat]).rotate([-x.lon,-x.lat,x.roll]).parallels(c.parallels);var E=k(b,_);m.fitExtent(g,E);var L=this.bounds=m.getBounds(E),C=this.fitScale=m.scale(),P=m.translate();if(!isFinite(L[0][0])||!isFinite(L[0][1])||!isFinite(L[1][0])||!isFinite(L[1][1])||isNaN(P[0])||isNaN(P[0])){for(var I=[\"fitbounds\",\"projection.rotation\",\"center\",\"lonaxis.range\",\"lataxis.range\"],O=\"Invalid geo settings, relayout'ing to default view.\",z={},D=0;D<I.length;D++)z[this.id+\".\"+I[D]]=null;return this.viewInitial=null,a.warn(O),r._promises.push(i.call(\"relayout\",r,z)),O}if(o.fitbounds){var R=m.getBounds(k(p.range,d.range)),F=Math.min((L[1][0]-L[0][0])/(R[1][0]-R[0][0]),(L[1][1]-L[0][1])/(R[1][1]-R[0][1]));isFinite(F)?m.scale(F*C):a.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else m.scale(c.scale*C);var B=this.midPt=[(L[0][0]+L[1][0])/2,(L[0][1]+L[1][1])/2];if(m.translate([P[0]+(B[0]-P[0]),P[1]+(B[1]-P[1])]).clipExtent(L),o._isAlbersUsa){var N=m([v.lon,v.lat]),j=m.translate();m.translate([j[0]-(N[0]-j[0]),j[1]-(N[1]-j[1])])}},T.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function c(t){return\"lonaxis\"===t||\"lataxis\"===t}function u(t){return Boolean(y.lineLayers[t])}function h(t){return Boolean(y.fillLayers[t])}var p=(this.hasChoropleth?y.layersForChoropleth:y.layers).filter((function(t){return u(t)||h(t)?e[\"show\"+t]:!c(t)||e[t].showgrid})),d=r.framework.selectAll(\".layer\").data(p,String);d.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),d.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):c(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):u(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):h(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),d.order(),d.each((function(r){var n=o[r],a=y.layerNameToAdjective[r];\"frame\"===r?n.datum(y.sphereSVG):u(r)||h(r)?n.datum(_(i,i.objects[r])):c(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=y.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};f.setConvert(l,r);var c=f.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,h=new Array(u),p=0;p<u;p++)for(var d=c[p].x,m=h[p]=[],g=i[0];g<i[1]+2.5;g+=2.5)m.push(a(d,g));return{type:\"MultiLineString\",coordinates:h}}(r,e,t)).call(s.stroke,e[r].gridcolor).call(l.dashLine,\"\",e[r].gridwidth),u(r)?n.call(s.stroke,e[a+\"color\"]).call(l.dashLine,\"\",e[a+\"width\"]):h(r)&&n.call(s.fill,e[a+\"color\"])}))},T.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,c=r[1][1]-a+n;l.setRect(this.clipRect,i,a,o,c),this.bgRect.call(l.setRect,i,a,o,c).call(s.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=c},T.updateFx=function(t,e){var r=this,o=r.graphDiv,s=r.bgRect,l=t.dragmode,u=t.clickmode;if(!r.isStatic){var f;\"select\"===l?f=function(t,e){(t.range={})[r.id]=[y([e.xmin,e.ymin]),y([e.xmax,e.ymax])]}:\"lasso\"===l&&(f=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(y)});var h={element:r.bgRect.node(),gd:o,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:f},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&m(o)}};\"pan\"===l?(s.node().onmousedown=null,s.call(v(r,e)),s.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in t)e[r.id+\".\"+n]=t[n];i.call(\"_guiRelayout\",o,e),o.emit(\"plotly_doubleclick\",null)})),o._context._scrollZoom.geo||s.on(\"wheel.zoom\",null)):\"select\"!==l&&\"lasso\"!==l||(s.on(\".zoom\",null),h.prepFn=function(t,e,r){d(t,e,r,h,l)},p.init(h)),s.on(\"mousemove\",(function(){var t=r.projection.invert(a.getPositionFromD3Event());if(!t||isNaN(t[0])||isNaN(t[1]))return p.unhover(o,n.event);r.xaxis.p2c=function(){return t[0]},r.yaxis.p2c=function(){return t[1]},c.hover(o,n.event,r.id)})),s.on(\"mouseout\",(function(){o._dragging||p.unhover(o,n.event)})),s.on(\"click\",(function(){\"select\"!==l&&\"lasso\"!==l&&(u.indexOf(\"select\")>-1&&g(n.event,o,[r.xaxis],[r.yaxis],r.id,h),u.indexOf(\"event\")>-1&&c.click(o,n.event))}))}function y(t){return r.projection.invert([t[0]+r.xaxis._offset,t[1]+r.yaxis._offset])}},T.makeFramework=function(){var t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(l.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},f.setConvert(t.mockAxis,r)},T.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":i.lon,\"projection.rotation.lat\":i.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":i.lon},a.extendFlat(this.viewInitial,e)},T.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?o(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in this.dataPoints)this.dataPoints[t].attr(\"display\",i).attr(\"transform\",n)}},{\"../../components/color\":662,\"../../components/dragelement\":681,\"../../components/drawing\":684,\"../../components/fx\":702,\"../../lib\":799,\"../../lib/geo_location_utils\":792,\"../../lib/topojson_utils\":827,\"../../registry\":927,\"../cartesian/autorange\":848,\"../cartesian/axes\":849,\"../cartesian/select\":869,\"../plots\":913,\"./constants\":880,\"./projections\":885,\"./zoom\":886,\"@plotly/d3\":58,\"topojson-client\":597}],882:[function(t,e,r){\"use strict\";var n=t(\"../../plots/get_data\").getSubplotCalcData,i=t(\"../../lib\").counterRegex,a=t(\"./geo\"),o=\"geo\",s=i(o),l={};l.geo={valType:\"subplotid\",dflt:o,editType:\"calc\"},e.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:t(\"./layout_attributes\"),supplyLayoutDefaults:t(\"./layout_defaults\"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":799,\"../../plots/get_data\":887,\"./geo\":881,\"./layout_attributes\":883,\"./layout_defaults\":884}],883:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:i({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(a.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(a.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:a.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:a.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:a.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:a.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":661,\"../../plot_api/edit_types\":831,\"../domain\":877,\"./constants\":880}],884:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../subplot_defaults\"),a=t(\"../get_data\").getSubplotData,o=t(\"./constants\"),s=t(\"./layout_attributes\"),l=o.axesNames;function c(t,e,r,i){var s=a(i.fullData,\"geo\",i.id).map((function(t){return t._expandedIndex})),c=r(\"resolution\"),u=r(\"scope\"),f=o.scopeDefaults[u],h=r(\"projection.type\",f.projType),p=e._isAlbersUsa=\"albers usa\"===h;p&&(u=e.scope=\"usa\");var d=e._isScoped=\"world\"!==u,m=e._isConic=-1!==h.indexOf(\"conic\"),g=e._isClipped=!!o.lonaxisSpan[h];if(!1===t.visible){var v=n.extendDeep({},e._template);v.showcoastlines=!1,v.showcountries=!1,v.showframe=!1,v.showlakes=!1,v.showland=!1,v.showocean=!1,v.showrivers=!1,v.showsubunits=!1,v.lonaxis&&(v.lonaxis.showgrid=!1),v.lataxis&&(v.lataxis.showgrid=!1),e._template=v}for(var y=r(\"visible\"),x=0;x<l.length;x++){var b,_=l[x],w=[30,10][x];if(d)b=f[_+\"Range\"];else{var T=o[_+\"Span\"],k=(T[h]||T[\"*\"])/2,M=r(\"projection.rotation.\"+_.substr(0,3),f.projRotate[x]);b=[M-k,M+k]}var A=r(_+\".range\",b);r(_+\".tick0\"),r(_+\".dtick\",w),r(_+\".showgrid\",!!y&&void 0)&&(r(_+\".gridcolor\"),r(_+\".gridwidth\")),e[_]._ax={type:\"linear\",_id:_.slice(0,3),_traceIndices:s,setScale:n.identity,c2l:n.identity,r2l:n.identity,autorange:!0,range:A.slice(),_m:1,_input:{}}}var S=e.lonaxis.range,E=e.lataxis.range,L=S[0],C=S[1];L>0&&C<0&&(C+=360);var P,I,O,z=(L+C)/2;if(!p){var D=d?f.projRotate:[z,0,0];P=r(\"projection.rotation.lon\",D[0]),r(\"projection.rotation.lat\",D[1]),r(\"projection.rotation.roll\",D[2]),r(\"showcoastlines\",!d&&y)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!y&&void 0)&&r(\"oceancolor\")}(p?(I=-96.6,O=38.7):(I=d?z:P,O=(E[0]+E[1])/2),r(\"center.lon\",I),r(\"center.lat\",O),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!y&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!y&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!y&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&y)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north america\"===u&&50===c)&&(r(\"showsubunits\",y),r(\"subunitcolor\"),r(\"subunitwidth\")),d||r(\"showframe\",y)&&(r(\"framecolor\"),r(\"framewidth\")),r(\"bgcolor\"),r(\"fitbounds\")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):g?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}e.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:c,fullData:r,partition:\"y\"})}},{\"../../lib\":799,\"../get_data\":887,\"../subplot_defaults\":921,\"./constants\":880,\"./layout_attributes\":883}],885:[function(t,e,r){\"use strict\";e.exports=function(t){function e(t,e){return{type:\"Feature\",id:t.id,properties:t.properties,geometry:r(t.geometry,e)}}function r(e,n){if(!e)return null;if(\"GeometryCollection\"===e.type)return{type:\"GeometryCollection\",geometries:object.geometries.map((function(t){return r(t,n)}))};if(!c.hasOwnProperty(e.type))return null;var i=c[e.type];return t.geo.stream(e,n(i)),i.result()}t.geo.project=function(t,e){var i=e.stream;if(!i)throw new Error(\"not yet supported\");return(t&&n.hasOwnProperty(t.type)?n[t.type]:r)(t,i)};var n={Feature:e,FeatureCollection:function(t,r){return{type:\"FeatureCollection\",features:t.features.map((function(t){return e(t,r)}))}}},i=[],a=[],o={point:function(t,e){i.push([t,e])},result:function(){var t=i.length?i.length<2?{type:\"Point\",coordinates:i[0]}:{type:\"MultiPoint\",coordinates:i}:null;return i=[],t}},s={lineStart:u,point:function(t,e){i.push([t,e])},lineEnd:function(){i.length&&(a.push(i),i=[])},result:function(){var t=a.length?a.length<2?{type:\"LineString\",coordinates:a[0]}:{type:\"MultiLineString\",coordinates:a}:null;return a=[],t}},l={polygonStart:u,lineStart:u,point:function(t,e){i.push([t,e])},lineEnd:function(){var t=i.length;if(t){do{i.push(i[0].slice())}while(++t<4);a.push(i),i=[]}},polygonEnd:u,result:function(){if(!a.length)return null;var t=[],e=[];return a.forEach((function(r){!function(t){if((e=t.length)<4)return!1;var e,r=0,n=t[e-1][1]*t[0][0]-t[e-1][0]*t[0][1];for(;++r<e;)n+=t[r-1][1]*t[r][0]-t[r-1][0]*t[r][1];return n<=0}(r)?e.push(r):t.push([r])})),e.forEach((function(e){var r=e[0];t.some((function(t){if(function(t,e){for(var r=e[0],n=e[1],i=!1,a=0,o=t.length,s=o-1;a<o;s=a++){var l=t[a],c=l[0],u=l[1],f=t[s],h=f[0],p=f[1];u>n^p>n&&r<(h-c)*(n-u)/(p-u)+c&&(i=!i)}return i}(t[0],r))return t.push(e),!0}))||t.push([e])})),a=[],t.length?t.length>1?{type:\"MultiPolygon\",coordinates:t}:{type:\"Polygon\",coordinates:t[0]}:null}},c={Point:o,MultiPoint:o,LineString:s,MultiLineString:s,Polygon:l,MultiPolygon:l,Sphere:l};function u(){}var f=1e-6,h=Math.PI,p=h/2,d=(Math.sqrt(h),h/180),m=180/h;function g(t){return t>1?p:t<-1?-p:Math.asin(t)}function v(t){return t>1?0:t<-1?h:Math.acos(t)}var y=t.geo.projection,x=t.geo.projectionMutator;function b(t,e){var r=(2+p)*Math.sin(e);e/=2;for(var n=0,i=1/0;n<10&&Math.abs(i)>f;n++){var a=Math.cos(e);e-=i=(e+Math.sin(e)*(a+2)-r)/(2*a*(1+a))}return[2/Math.sqrt(h*(4+h))*t*(1+Math.cos(e)),2*Math.sqrt(h/(4+h))*Math.sin(e)]}t.geo.interrupt=function(e){var r,n=[[[[-h,0],[0,p],[h,0]]],[[[-h,0],[0,-p],[h,0]]]];function i(t,r){for(var i=r<0?-1:1,a=n[+(r<0)],o=0,s=a.length-1;o<s&&t>a[o][2][0];++o);var l=e(t-a[o][1][0],r);return l[0]+=e(a[o][1][0],i*r>i*a[o][0][1]?a[o][0][1]:r)[0],l}function a(){r=n.map((function(t){return t.map((function(t){var r,n=e(t[0][0],t[0][1])[0],i=e(t[2][0],t[2][1])[0],a=e(t[1][0],t[0][1])[1],o=e(t[1][0],t[1][1])[1];return a>o&&(r=a,a=o,o=r),[[n,a],[i,o]]}))}))}e.invert&&(i.invert=function(t,a){for(var o=r[+(a<0)],s=n[+(a<0)],l=0,u=o.length;l<u;++l){var f=o[l];if(f[0][0]<=t&&t<f[1][0]&&f[0][1]<=a&&a<f[1][1]){var h=e.invert(t-e(s[l][1][0],0)[0],a);return h[0]+=s[l][1][0],c(i(h[0],h[1]),[t,a])?h:null}}});var o=t.geo.projection(i),s=o.stream;function l(t,e){for(var r,n,i,a=-1,o=t.length,s=t[0],l=[];++a<o;){n=((r=t[a])[0]-s[0])/e,i=(r[1]-s[1])/e;for(var c=0;c<e;++c)l.push([s[0]+c*n,s[1]+c*i]);s=r}return l.push(r),l}function c(t,e){return Math.abs(t[0]-e[0])<f&&Math.abs(t[1]-e[1])<f}return o.stream=function(e){var r=o.rotate(),i=s(e),a=(o.rotate([0,0]),s(e));return o.rotate(r),i.sphere=function(){t.geo.stream(function(){for(var e=1e-6,r=[],i=0,a=n[0].length;i<a;++i){var o=180*(p=n[0][i])[0][0]/h,s=180*p[0][1]/h,c=180*p[1][1]/h,u=180*p[2][0]/h,f=180*p[2][1]/h;r.push(l([[o+e,s+e],[o+e,c-e],[u-e,c-e],[u-e,f+e]],30))}for(i=n[1].length-1;i>=0;--i){var p;o=180*(p=n[1][i])[0][0]/h,s=180*p[0][1]/h,c=180*p[1][1]/h,u=180*p[2][0]/h,f=180*p[2][1]/h;r.push(l([[u-e,f-e],[u-e,c+e],[o+e,c+e],[o+e,s-e]],30))}return{type:\"Polygon\",coordinates:[t.merge(r)]}}(),a)},i},o.lobes=function(t){return arguments.length?(n=t.map((function(t){return t.map((function(t){return[[t[0][0]*h/180,t[0][1]*h/180],[t[1][0]*h/180,t[1][1]*h/180],[t[2][0]*h/180,t[2][1]*h/180]]}))})),a(),o):n.map((function(t){return t.map((function(t){return[[180*t[0][0]/h,180*t[0][1]/h],[180*t[1][0]/h,180*t[1][1]/h],[180*t[2][0]/h,180*t[2][1]/h]]}))}))},o},b.invert=function(t,e){var r=.5*e*Math.sqrt((4+h)/h),n=g(r),i=Math.cos(n);return[t/(2/Math.sqrt(h*(4+h))*(1+i)),g((n+r*(i+2))/(2+p))]},(t.geo.eckert4=function(){return y(b)}).raw=b;var _=t.geo.azimuthalEqualArea.raw;function w(t,e){if(arguments.length<2&&(e=t),1===e)return _;if(e===1/0)return T;function r(r,n){var i=_(r/e,n);return i[0]*=t,i}return r.invert=function(r,n){var i=_.invert(r/t,n);return i[0]*=e,i},r}function T(t,e){return[t*Math.cos(e)/Math.cos(e/=2),2*Math.sin(e)]}function k(t,e){return[3*t/(2*h)*Math.sqrt(h*h/3-e*e),e]}function M(t,e){return[t,1.25*Math.log(Math.tan(h/4+.4*e))]}function A(t){return function(e){var r,n=t*Math.sin(e),i=30;do{e-=r=(e+Math.sin(e)-n)/(1+Math.cos(e))}while(Math.abs(r)>f&&--i>0);return e/2}}T.invert=function(t,e){var r=2*g(e/2);return[t*Math.cos(r/2)/Math.cos(r),r]},(t.geo.hammer=function(){var t=2,e=x(w),r=e(t);return r.coefficient=function(r){return arguments.length?e(t=+r):t},r}).raw=w,k.invert=function(t,e){return[2/3*h*t/Math.sqrt(h*h/3-e*e),e]},(t.geo.kavrayskiy7=function(){return y(k)}).raw=k,M.invert=function(t,e){return[t,2.5*Math.atan(Math.exp(.8*e))-.625*h]},(t.geo.miller=function(){return y(M)}).raw=M,A(h);var S=function(t,e,r){var n=A(r);function i(r,i){return[t*r*Math.cos(i=n(i)),e*Math.sin(i)]}return i.invert=function(n,i){var a=g(i/e);return[n/(t*Math.cos(a)),g((2*a+Math.sin(2*a))/r)]},i}(Math.SQRT2/p,Math.SQRT2,h);function E(t,e){var r=e*e,n=r*r;return[t*(.8707-.131979*r+n*(n*(.003971*r-.001529*n)-.013791)),e*(1.007226+r*(.015085+n*(.028874*r-.044475-.005916*n)))]}(t.geo.mollweide=function(){return y(S)}).raw=S,E.invert=function(t,e){var r,n=e,i=25;do{var a=n*n,o=a*a;n-=r=(n*(1.007226+a*(.015085+o*(.028874*a-.044475-.005916*o)))-e)/(1.007226+a*(.045255+o*(.259866*a-.311325-.005916*11*o)))}while(Math.abs(r)>f&&--i>0);return[t/(.8707+(a=n*n)*(a*(a*a*a*(.003971-.001529*a)-.013791)-.131979)),n]},(t.geo.naturalEarth=function(){return y(E)}).raw=E;var L=[[.9986,-.062],[1,0],[.9986,.062],[.9954,.124],[.99,.186],[.9822,.248],[.973,.31],[.96,.372],[.9427,.434],[.9216,.4958],[.8962,.5571],[.8679,.6176],[.835,.6769],[.7986,.7346],[.7597,.7903],[.7186,.8435],[.6732,.8936],[.6213,.9394],[.5722,.9761],[.5322,1]];function C(t,e){var r,n=Math.min(18,36*Math.abs(e)/h),i=Math.floor(n),a=n-i,o=(r=L[i])[0],s=r[1],l=(r=L[++i])[0],c=r[1],u=(r=L[Math.min(19,++i)])[0],f=r[1];return[t*(l+a*(u-o)/2+a*a*(u-2*l+o)/2),(e>0?p:-p)*(c+a*(f-s)/2+a*a*(f-2*c+s)/2)]}function P(t,e){return[t*Math.cos(e),e]}function I(t,e){var r,n=Math.cos(e),i=(r=v(n*Math.cos(t/=2)))?r/Math.sin(r):1;return[2*n*Math.sin(t)*i,Math.sin(e)*i]}function O(t,e){var r=I(t,e);return[(r[0]+t/p)/2,(r[1]+e)/2]}L.forEach((function(t){t[1]*=1.0144})),C.invert=function(t,e){var r=e/p,n=90*r,i=Math.min(18,Math.abs(n/5)),a=Math.max(0,Math.floor(i));do{var o=L[a][1],s=L[a+1][1],l=L[Math.min(19,a+2)][1],c=l-o,u=l-2*s+o,f=2*(Math.abs(r)-s)/c,h=u/c,g=f*(1-h*f*(1-2*h*f));if(g>=0||1===a){n=(e>=0?5:-5)*(g+i);var v,y=50;do{g=(i=Math.min(18,Math.abs(n)/5))-(a=Math.floor(i)),o=L[a][1],s=L[a+1][1],l=L[Math.min(19,a+2)][1],n-=(v=(e>=0?p:-p)*(s+g*(l-o)/2+g*g*(l-2*s+o)/2)-e)*m}while(Math.abs(v)>1e-12&&--y>0);break}}while(--a>=0);var x=L[a][0],b=L[a+1][0],_=L[Math.min(19,a+2)][0];return[t/(b+g*(_-x)/2+g*g*(_-2*b+x)/2),n*d]},(t.geo.robinson=function(){return y(C)}).raw=C,P.invert=function(t,e){return[t/Math.cos(e),e]},(t.geo.sinusoidal=function(){return y(P)}).raw=P,I.invert=function(t,e){if(!(t*t+4*e*e>h*h+f)){var r=t,n=e,i=25;do{var a,o=Math.sin(r),s=Math.sin(r/2),l=Math.cos(r/2),c=Math.sin(n),u=Math.cos(n),p=Math.sin(2*n),d=c*c,m=u*u,g=s*s,y=1-m*l*l,x=y?v(u*l)*Math.sqrt(a=1/y):a=0,b=2*x*u*s-t,_=x*c-e,w=a*(m*g+x*u*l*d),T=a*(.5*o*p-2*x*c*s),k=.25*a*(p*s-x*c*m*o),M=a*(d*l+x*g*u),A=T*k-M*w;if(!A)break;var S=(_*T-b*M)/A,E=(b*k-_*w)/A;r-=S,n-=E}while((Math.abs(S)>f||Math.abs(E)>f)&&--i>0);return[r,n]}},(t.geo.aitoff=function(){return y(I)}).raw=I,O.invert=function(t,e){var r=t,n=e,i=25;do{var a,o=Math.cos(n),s=Math.sin(n),l=Math.sin(2*n),c=s*s,u=o*o,h=Math.sin(r),d=Math.cos(r/2),m=Math.sin(r/2),g=m*m,y=1-u*d*d,x=y?v(o*d)*Math.sqrt(a=1/y):a=0,b=.5*(2*x*o*m+r/p)-t,_=.5*(x*s+n)-e,w=.5*a*(u*g+x*o*d*c)+.5/p,T=a*(h*l/4-x*s*m),k=.125*a*(l*m-x*s*u*h),M=.5*a*(c*d+x*g*o)+.5,A=T*k-M*w,S=(_*T-b*M)/A,E=(b*k-_*w)/A;r-=S,n-=E}while((Math.abs(S)>f||Math.abs(E)>f)&&--i>0);return[r,n]},(t.geo.winkel3=function(){return y(O)}).raw=O}},{}],886:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../registry\"),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},c={cursor:\"auto\"};function u(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],c=o._fullLayout,u=c[n],f={},h={};function p(t,e){f[n+\".\"+t]=i.nestedProperty(l,t).get(),a.call(\"_storeDirectGUIEdit\",s,c._preGUI,f);var r=i.nestedProperty(u,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+\".\"+t]=e)}r(p),p(\"projection.scale\",e.scale()/t.fitScale),p(\"fitbounds\",!1),o.emit(\"plotly_relayout\",h)}function h(t,e){var r=u(0,e);function i(r){var n=e.invert(t.midPt);r(\"center.lon\",n[0]),r(\"center.lat\",n[1])}return r.on(\"zoomstart\",(function(){n.select(this).style(l)})).on(\"zoom\",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render();var r=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":r[0],\"geo.center.lat\":r[1]})})).on(\"zoomend\",(function(){n.select(this).style(c),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,m,g=u(0,e);function v(t){return e.invert(t)}function y(r){var n=e.rotate(),i=e.invert(t.midPt);r(\"projection.rotation.lon\",-n[0]),r(\"center.lon\",i[0]),r(\"center.lat\",i[1])}return g.on(\"zoomstart\",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=v(r)})).on(\"zoom\",(function(){if(h=n.mouse(this),function(t){var r=v(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?v(h)&&(d=v(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=v(r=h),m=!0,t.render();var l=e.rotate(),c=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":c[0],\"geo.center.lat\":c[1],\"geo.projection.rotation.lon\":-l[0]})})).on(\"zoomend\",(function(){n.select(this).style(c),m&&f(t,e,y)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=u(0,e),o=function(t){var e=0,r=arguments.length,i=[];for(;++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),s=0,h=a.on;function p(t){s++||t({type:\"zoomstart\"})}function d(t){t({type:\"zoom\"})}function b(t){--s||t({type:\"zoomend\"})}function _(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t=n.mouse(this),s=e.rotate(),c=s,u=e.translate(),f=g(s);r=m(e,t),h.call(a,\"zoom\",(function(){var a=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(m(e,a)){e.rotate(s).translate(u);var l=m(e,a),h=y(r,l),p=T(v(f,h)),g=i.r=x(p,r,c);isFinite(g[0])&&isFinite(g[1])&&isFinite(g[2])||(g=c),e.rotate(g),c=g}}else r=m(e,t=a);d(o.of(this,arguments))})),p(o.of(this,arguments))})).on(\"zoomend\",(function(){n.select(this).style(c),h.call(a,\"zoom\",null),b(o.of(this,arguments)),f(t,e,_)})).on(\"zoom.redraw\",(function(){t.render();var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,o,\"on\")}function m(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t){var e=.5*t[0]*o,r=.5*t[1]*o,n=.5*t[2]*o,i=Math.sin(e),a=Math.cos(e),s=Math.sin(r),l=Math.cos(r),c=Math.sin(n),u=Math.cos(n);return[a*l*u+i*s*c,i*l*u-a*s*c,a*s*u+i*l*c,a*l*c-i*s*u]}function v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],c=e[3];return[r*o-n*s-i*l-a*c,r*s+n*o+i*c-a*l,r*l-n*c+i*o+a*s,r*c+n*l-i*s+a*o]}function y(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(k(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],c=e[2],u=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var m=180-a-2*p,g=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,g)<=b(r[0],r[1],m,v)?[a,g,r[2]]:[m,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}e.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},{\"../../lib\":799,\"../../registry\":927,\"@plotly/d3\":58}],887:[function(t,e,r){\"use strict\";var n=t(\"../registry\"),i=t(\"./cartesian/constants\").SUBPLOT_PATTERN;r.getSubplotCalcData=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},r.getModuleCalcData=function(t,e){var r,i=[],a=[];if(!(r=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if(\"gl2d\"===e){var u=r.match(i);o=\"x\"+u[1],s=\"y\"+u[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{\"../registry\":927,\"./cartesian/constants\":856}],888:[function(t,e,r){\"use strict\";var n=t(\"mouse-change\"),i=t(\"mouse-wheel\"),a=t(\"mouse-event-offset\"),o=t(\"../cartesian/constants\"),s=t(\"has-passive-events\");function 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\":856,\"has-passive-events\":440,\"mouse-change\":466,\"mouse-event-offset\":467,\"mouse-wheel\":469}],889:[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\":823,\"../cartesian/axes\":849}],890:[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\":703,\"../../constants/xmlns_namespaces\":776,\"../../plot_api/edit_types\":831,\"../cartesian\":863,\"../cartesian/attributes\":847,\"../cartesian/constants\":856,\"../get_data\":887,\"../layout_attributes\":904,\"./scene2d\":891}],891:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"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 M=k.prototype;M.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}))},M.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\"),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},M.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},M.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},M.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]},M.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)},M.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())},M.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)}},M.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}},M.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()},M.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])]},M.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])]},M.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}))},M.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},M.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]})},M.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()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":680,\"../../components/fx\":702,\"../../lib/show_no_webgl_msg\":821,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"../cartesian/autorange\":848,\"../cartesian/constants\":856,\"../cartesian/constraints\":857,\"./camera\":888,\"./convert\":889,\"gl-plot2d\":318,\"gl-select-box\":333,\"gl-spikes2d\":342,\"webgl-context\":625}],892:[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\":703,\"../../constants/xmlns_namespaces\":776,\"../../lib\":799,\"../../plot_api/edit_types\":831,\"../get_data\":887,\"./layout/attributes\":893,\"./layout/defaults\":897,\"./layout/layout_attributes\":898,\"./scene\":902}],893:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],894:[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\":662,\"../../../lib/extend\":789,\"../../../plot_api/edit_types\":831,\"../../cartesian/layout_attributes\":864}],895:[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,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\":799,\"../../../plot_api/plot_template\":838,\"../../cartesian/axis_defaults\":851,\"../../cartesian/type_defaults\":875,\"./axis_attributes\":894,tinycolor2:594}],896:[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\":799,\"../../../lib/str2rgbarray\":823}],897:[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\":662,\"../../../lib\":799,\"../../../registry\":927,\"../../get_data\":887,\"../../subplot_defaults\":921,\"./axis_defaults\":895,\"./layout_attributes\":898}],898:[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\":799,\"../../../lib/extend\":789,\"../../domain\":877,\"./axis_attributes\":894}],899:[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\":823}],900:[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\":799,\"../../cartesian/axes\":849}],901:[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])))}},{}],902:[function(t,e,r){\"use strict\";var n,i,a=t(\"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,u=Object.keys(e.traces),h=null,m=e.glplot.selection,g=0;g<u.length;++g)\"skip\"!==(t=e.traces[u[g]]).data.hoverinfo&&t.handlePick(m)&&(h=t),t.setContourLevels&&t.setContourLevels();function y(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==h){var x=v(e.glplot.cameraParams,m.dataCoordinate);t=h.data;var _,w=r._fullData[t.index],T=m.index,k={xLabel:y(\"x\",m.traceCoordinate[0],t.xhoverformat),yLabel:y(\"y\",m.traceCoordinate[1],t.yhoverformat),zLabel:y(\"z\",m.traceCoordinate[2],t.zhoverformat)},M=d.castHoverinfo(w,e.fullLayout,T),A=(M||\"\").split(\"+\"),S=M&&\"all\"===M;w.hovertemplate||S||(-1===A.indexOf(\"x\")&&(k.xLabel=void 0),-1===A.indexOf(\"y\")&&(k.yLabel=void 0),-1===A.indexOf(\"z\")&&(k.zLabel=void 0),-1===A.indexOf(\"text\")&&(m.textLabel=void 0),-1===A.indexOf(\"name\")&&(h.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=y(\"x\",m.traceCoordinate[3],t.uhoverformat),(S||-1!==A.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=y(\"y\",m.traceCoordinate[4],t.vhoverformat),(S||-1!==A.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=y(\"z\",m.traceCoordinate[5],t.whoverformat),(S||-1!==A.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=m.traceCoordinate[6].toPrecision(3),(S||-1!==A.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=m.traceCoordinate[7].toPrecision(3),(S||-1!==A.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),m.textLabel&&E.push(m.textLabel),_=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(m.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),m.textLabel&&E.push(m.textLabel),_=E.join(\"<br>\")):_=m.textLabel;var L={x:m.traceCoordinate[0],y:m.traceCoordinate[1],z:m.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,m,w,{},T));var C={points:[L]};e.fullSceneLayout.hovermode&&d.loneHover({trace:w,x:(.5+.5*x[0]/x[3])*s,y:(.5-.5*x[1]/x[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:_,name:h.name,color:d.castHoverOption(w,T,\"bgcolor\")||h.color,borderColor:d.castHoverOption(w,T,\"bordercolor\"),fontFamily:d.castHoverOption(w,T,\"font.family\"),fontSize:d.castHoverOption(w,T,\"font.size\"),fontColor:d.castHoverOption(w,T,\"font.color\"),nameLength:d.castHoverOption(w,T,\"namelength\"),textAlign:d.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r}),m.buttons&&m.distance<5?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),c=C}else d.loneUnhover(n),r.emit(\"plotly_unhover\",c);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 M(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&&M(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,A=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]-A),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+A)}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\"),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=_},{\"../../components/fx\":702,\"../../lib\":799,\"../../lib/show_no_webgl_msg\":821,\"../../lib/str2rgbarray\":823,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"./layout/convert\":896,\"./layout/spikes\":899,\"./layout/tick_marks\":900,\"./project\":901,\"gl-plot3d\":322,\"has-passive-events\":440,\"webgl-context\":625}],903:[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}},{}],904:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":661,\"../components/shapes/draw_newshape/attributes\":747,\"../lib/extend\":789,\"./animation_attributes\":843,\"./font_attributes\":878,\"./pad_attributes\":912}],905:[function(t,e,r){\"use strict\";var n='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',i=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',n].join(\" \"),a=['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(\" \"),o={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:n,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:i,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:i,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:a,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:a,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}]}},s=Object.keys(o);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:o,styleValuesNonMapbox:s,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",s.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z\",path2:\"M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z\",polygon:\"11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34\"},styleRules:{map:\"overflow:hidden;position:relative;\",\"missing-css\":\"display:none;\",canary:\"background-color:salmon;\",\"ctrl-bottom-left\":\"position: absolute; pointer-events: none; z-index: 2; bottom: 0; left: 0;\",\"ctrl-bottom-right\":\"position: absolute; pointer-events: none; z-index: 2; right: 0; bottom: 0;\",ctrl:\"clear: both; pointer-events: auto; transform: translate(0, 0);\",\"ctrl-attrib.mapboxgl-compact .mapboxgl-ctrl-attrib-inner\":\"display: none;\",\"ctrl-attrib.mapboxgl-compact:hover .mapboxgl-ctrl-attrib-inner\":\"display: block; margin-top:2px\",\"ctrl-attrib.mapboxgl-compact:hover\":\"padding: 2px 24px 2px 4px; visibility: visible; margin-top: 6px;\",\"ctrl-attrib.mapboxgl-compact::after\":'content: \"\"; cursor: pointer; position: absolute; background-image: url(\\'data:image/svg+xml;charset=utf-8,%3Csvg viewBox=\"0 0 20 20\" xmlns=\"http://www.w3.org/2000/svg\"%3E %3Cpath fill=\"%23333333\" fill-rule=\"evenodd\" d=\"M4,10a6,6 0 1,0 12,0a6,6 0 1,0 -12,0 M9,7a1,1 0 1,0 2,0a1,1 0 1,0 -2,0 M9,10a1,1 0 1,1 2,0l0,3a1,1 0 1,1 -2,0\"/%3E %3C/svg%3E\\'); background-color: rgba(255, 255, 255, 0.5); width: 24px; height: 24px; box-sizing: border-box; border-radius: 12px;',\"ctrl-attrib.mapboxgl-compact\":\"min-height: 20px; padding: 0; margin: 10px; position: relative; background-color: #fff; border-radius: 3px 12px 12px 3px;\",\"ctrl-bottom-right > .mapboxgl-ctrl-attrib.mapboxgl-compact::after\":\"bottom: 0; right: 0\",\"ctrl-bottom-left > .mapboxgl-ctrl-attrib.mapboxgl-compact::after\":\"bottom: 0; left: 0\",\"ctrl-bottom-left .mapboxgl-ctrl\":\"margin: 0 0 10px 10px; float: left;\",\"ctrl-bottom-right .mapboxgl-ctrl\":\"margin: 0 10px 10px 0; float: right;\",\"ctrl-attrib\":\"color: rgba(0, 0, 0, 0.75); text-decoration: none; font-size: 12px\",\"ctrl-attrib a\":\"color: rgba(0, 0, 0, 0.75); text-decoration: none; font-size: 12px\",\"ctrl-attrib a:hover\":\"color: inherit; text-decoration: underline;\",\"ctrl-attrib .mapbox-improve-map\":\"font-weight: bold; margin-left: 2px;\",\"attrib-empty\":\"display: none;\",\"ctrl-logo\":'display:block; width: 21px; height: 21px; background-image: url(\\'data:image/svg+xml;charset=utf-8,%3C?xml version=\"1.0\" encoding=\"utf-8\"?%3E %3Csvg version=\"1.1\" id=\"Layer_1\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" x=\"0px\" y=\"0px\" viewBox=\"0 0 21 21\" style=\"enable-background:new 0 0 21 21;\" xml:space=\"preserve\"%3E%3Cg transform=\"translate(0,0.01)\"%3E%3Cpath d=\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\" style=\"opacity:0.9;fill:%23ffffff;enable-background:new\" class=\"st0\"/%3E%3Cpath d=\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z\" style=\"opacity:0.35;enable-background:new\" class=\"st1\"/%3E%3Cpath d=\"M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z\" style=\"opacity:0.35;enable-background:new\" class=\"st1\"/%3E%3Cpolygon points=\"11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34 \" style=\"opacity:0.9;fill:%23ffffff;enable-background:new\" class=\"st0\"/%3E%3C/g%3E%3C/svg%3E\\')'}}},{}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=n.isArrayOrTypedArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,c=[\"\",\"\"],u=[0,0];switch(i){case\"top\":c[0]=\"top\",u[1]=-l;break;case\"bottom\":c[0]=\"bottom\",u[1]=l}switch(a){case\"left\":c[1]=\"right\",u[0]=-s;break;case\"right\":c[1]=\"left\",u[0]=s}return{anchor:c[0]&&c[1]?c.join(\"-\"):c[0]?c[0]:c[1]?c[1]:\"center\",offset:u}}},{\"../../lib\":799}],907:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return n.length?(n.length>1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l<a.length;l++){var c=a[l],u=s(r,\"mapbox\",c),f=e[c],m=f._subplot;m||(m=new h(t,c),e[c]._subplot=m),m.viewInitial||(m.viewInitial={center:i.extendFlat({},f.center),zoom:f.zoom,bearing:f.bearing,pitch:f.pitch}),m.plot(u,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=n._subplots.mapbox||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._subplot&&n[o]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=e._size,i=0;i<r.length;i++){var s=e[r[i]],h=s.domain,d=s._subplot.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":d,x:n.l+n.w*h.x[0],y:n.t+n.h*(1-h.y[1]),width:n.w*(h.x[1]-h.x[0]),height:n.h*(h.y[1]-h.y[0]),preserveAspectRatio:\"none\"});var m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":684,\"../../constants/xmlns_namespaces\":776,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plots/get_data\":887,\"./constants\":905,\"./layout_attributes\":909,\"./layout_defaults\":910,\"./mapbox\":911,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":457}],908:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"./constants\":905,\"./convert_text_opts\":906}],909:[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 Regular\",(e.exports=l({_arrayAttrRegexps:[n.counterRegex(\"mapbox\",\".layers\",!0)],domain:a({name:\"mapbox\"}),accesstoken:{valType:\"string\",noBlank:!0,strict:!0},style:{valType:\"any\",values:u.styleValuesMapbox.concat(u.styleValuesNonMapbox),dflt:u.styleValueDflt},center:{lon:{valType:\"number\",dflt:0},lat:{valType:\"number\",dflt:0}},zoom:{valType:\"number\",dflt:1},bearing:{valType:\"number\",dflt:0},pitch:{valType:\"number\",dflt:0},layers:c(\"layer\",{visible:{valType:\"boolean\",dflt:!0},sourcetype:{valType:\"enumerated\",values:[\"geojson\",\"vector\",\"raster\",\"image\"],dflt:\"geojson\"},source:{valType:\"any\"},sourcelayer:{valType:\"string\",dflt:\"\"},sourceattribution:{valType:\"string\"},type:{valType:\"enumerated\",values:[\"circle\",\"line\",\"fill\",\"symbol\",\"raster\"],dflt:\"circle\"},coordinates:{valType:\"any\"},below:{valType:\"string\"},color:{valType:\"color\",dflt:i},opacity:{valType:\"number\",min:0,max:1,dflt:1},minzoom:{valType:\"number\",min:0,max:24,dflt:0},maxzoom:{valType:\"number\",min:0,max:24,dflt:24},circle:{radius:{valType:\"number\",dflt:15}},line:{width:{valType:\"number\",dflt:2},dash:{valType:\"data_array\"}},fill:{outlinecolor:{valType:\"color\",dflt:i}},symbol:{icon:{valType:\"string\",dflt:\"marker\"},iconsize:{valType:\"number\",dflt:10},text:{valType:\"string\",dflt:\"\"},placement:{valType:\"enumerated\",values:[\"point\",\"line\",\"line-center\"],dflt:\"point\"},textfont:f,textposition:n.extendFlat({},s,{arrayOk:!1})}})},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color\":662,\"../../lib\":799,\"../../plot_api/edit_types\":831,\"../../plot_api/plot_template\":838,\"../../traces/scatter/attributes\":1214,\"../domain\":877,\"../font_attributes\":878,\"./constants\":905}],910:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../subplot_defaults\"),a=t(\"../array_container_defaults\"),o=t(\"./layout_attributes\");function s(t,e,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\"),a(t,e,{name:\"layers\",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,i){return n.coerce(t,e,o.layers,r,i)}if(r(\"visible\")){var i,a=r(\"sourcetype\"),s=\"raster\"===a||\"image\"===a;r(\"source\"),r(\"sourceattribution\"),\"vector\"===a&&r(\"sourcelayer\"),\"image\"===a&&r(\"coordinates\"),s&&(i=\"raster\");var l=r(\"type\",i);s&&\"raster\"!==l&&(l=e.type=\"raster\",n.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),\"circle\"===l&&r(\"circle.radius\"),\"line\"===l&&(r(\"line.width\"),r(\"line.dash\")),\"fill\"===l&&r(\"fill.outlinecolor\"),\"symbol\"===l&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),n.coerceFont(r,\"symbol.textfont\"),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}e.exports=function(t,e,r){i(t,e,r,{type:\"mapbox\",attributes:o,handleDefaults:s,partition:\"y\",accessToken:e._mapboxAccessToken})}},{\"../../lib\":799,\"../array_container_defaults\":844,\"../subplot_defaults\":921,\"./layout_attributes\":909}],911:[function(t,e,r){\"use strict\";var 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.rectMode,h=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,m=t(\"../cartesian/select\").clearSelect,g=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(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.prototype;_.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)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var 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 w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function M(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[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]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(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()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t))}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var a=r.getView();i._input.center=i.center=a.center,i._input.zoom=i.zoom=a.zoom,i._input.bearing=i.bearing=a.bearing,i._input.pitch=i.pitch=a.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(a))}t.originalEvent&&\"mouseup\"===t.originalEvent.type?r.dragging=!1:r.wheeling&&(r.wheeling=!1),e._rehover&&e._rehover()}})),i.on(\"wheel\",(function(){r.wheeling=!0})),i.on(\"mousemove\",(function(t){var e=r.div.getBoundingClientRect(),a=[t.originalEvent.offsetX,t.originalEvent.offsetY];t.target.getBoundingClientRect=function(){return e},r.xaxis.p2c=function(){return i.unproject(a).lng},r.yaxis.p2c=function(){return i.unproject(a).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&c.hover(n,t,r.id)},c.hover(n,t,r.id),n._fullLayout._hoversubplot=r.id})),i.on(\"dragstart\",(function(){r.dragging=!0,a()})),i.on(\"zoomstart\",a),i.on(\"mouseout\",(function(){n._fullLayout._hoversubplot=null})),i.on(\"drag\",s),i.on(\"zoom\",s),i.on(\"dblclick\",(function(){var t=n._fullLayout[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(t));var e=r.viewInitial;i.setCenter(M(e.center)),i.setZoom(e.zoom),i.setBearing(e.bearing),i.setPitch(e.pitch);var a=r.getView();t._input.center=t.center=a.center,t._input.zoom=t.zoom=a.zoom,t._input.bearing=t.bearing=a.bearing,t._input.pitch=t.pitch=a.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(a))})),r.clearSelect=function(){g(r.dragOptions),m(r.dragOptions.gd)},r.onClickInPanFn=function(t){return function(e){var i=n._fullLayout.clickmode;i.indexOf(\"select\")>-1&&v(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=f(o)?function(t,r){(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]}:function(t,r,n){(t.lassoPoints={})[e.id]=n.filtered.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),p(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearSelect),e.dragOptions.prepFn=function(t,r,n){d(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearSelect),e.div.onmousedown=null,e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(x(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if(\"string\"==typeof e){if(\"\"===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn([\"Trying to add layer with *below* value\",e,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=n.width,a=n.height;return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[e+\".\"+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+\"._derived\"]=t._derived,r},e.exports=b},{\"../../components/dragelement\":681,\"../../components/dragelement/helpers\":680,\"../../components/fx\":702,\"../../lib\":799,\"../../lib/geo_location_utils\":792,\"../../registry\":927,\"../cartesian/axes\":849,\"../cartesian/select\":869,\"./constants\":905,\"./layers\":908,\"mapbox-gl/dist/mapbox-gl-unminified\":457}],912:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.editType;return{t:{valType:\"number\",dflt:0,editType:e},r:{valType:\"number\",dflt:0,editType:e},b:{valType:\"number\",dflt:0,editType:e},l:{valType:\"number\",dflt:0,editType:e},editType:e}}},{}],913:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").timeFormatLocale,a=t(\"fast-isnumeric\"),o=t(\"../registry\"),s=t(\"../plot_api/plot_schema\"),l=t(\"../plot_api/plot_template\"),c=t(\"../lib\"),u=t(\"../components/color\"),f=t(\"../constants/numerical\").BADNUM,h=t(\"./cartesian/axis_ids\"),p=t(\"./cartesian/handle_outline\").clearSelect,d=t(\"./animation_attributes\"),m=t(\"./frame_attributes\"),g=t(\"../plots/get_data\").getModuleCalcData,v=c.relinkPrivateKeys,y=c._,x=e.exports={};c.extendFlat(x,o),x.attributes=t(\"./attributes\"),x.attributes.type.values=x.allTypes,x.fontAttrs=t(\"./font_attributes\"),x.layoutAttributes=t(\"./layout_attributes\"),x.fontWeight=\"normal\";var b=x.transformsRegistry,_=t(\"./command\");x.executeAPICommand=_.executeAPICommand,x.computeAPICommandBindings=_.computeAPICommandBindings,x.manageCommandObserver=_.manageCommandObserver,x.hasSimpleAPICommandBindings=_.hasSimpleAPICommandBindings,x.redrawText=function(t){return t=c.getGraphDiv(t),new Promise((function(e){setTimeout((function(){t._fullLayout&&(o.getComponentMethod(\"annotations\",\"draw\")(t),o.getComponentMethod(\"legend\",\"draw\")(t),o.getComponentMethod(\"colorbar\",\"draw\")(t),e(x.previousPromises(t)))}),300)}))},x.resize=function(t){var e;t=c.getGraphDiv(t);var r=new Promise((function(r,n){t&&!c.isHidden(t)||n(new Error(\"Resize must be passed a displayed plot div element.\")),t._redrawTimer&&clearTimeout(t._redrawTimer),t._resolveResize&&(e=t._resolveResize),t._resolveResize=r,t._redrawTimer=setTimeout((function(){if(!t.layout||t.layout.width&&t.layout.height||c.isHidden(t))r(t);else{delete t.layout.width,delete t.layout.height;var e=t.changed;t.autoplay=!0,o.call(\"relayout\",t,{autosize:!0}).then((function(){t.changed=e,t._resolveResize===r&&(delete t._resolveResize,r(t))}))}}),100)}));return e&&e(r),r},x.previousPromises=function(t){if((t._promises||[]).length)return Promise.all(t._promises).then((function(){t._promises=[]}))},x.addLinks=function(t){if(t._context.showLink||t._context.showSources){var e=t._fullLayout,r=c.ensureSingle(e._paper,\"text\",\"js-plot-link-container\",(function(t){t.style({\"font-family\":'\"Open Sans\", Arial, sans-serif',\"font-size\":\"12px\",fill:u.defaultLine,\"pointer-events\":\"all\"}).each((function(){var t=n.select(this);t.append(\"tspan\").classed(\"js-link-to-tool\",!0),t.append(\"tspan\").classed(\"js-link-spacer\",!0),t.append(\"tspan\").classed(\"js-sourcelinks\",!0)}))})),i=r.node(),a={y:e._paper.attr(\"height\")-9};document.body.contains(i)&&i.getComputedTextLength()>=e.width-20?(a[\"text-anchor\"]=\"start\",a.x=5):(a[\"text-anchor\"]=\"end\",a.x=e._paper.attr(\"width\")-7),r.attr(a);var o=r.select(\".js-link-to-tool\"),s=r.select(\".js-link-spacer\"),l=r.select(\".js-sourcelinks\");t._context.showSources&&t._context.showSources(t),t._context.showLink&&function(t,e){e.text(\"\");var r=e.append(\"a\").attr({\"xlink:xlink:href\":\"#\",class:\"link--impt link--embedview\",\"font-weight\":\"bold\"}).text(t._context.linkText+\" \"+String.fromCharCode(187));if(t._context.sendData)r.on(\"click\",(function(){x.sendDataToCloud(t)}));else{var n=window.location.pathname.split(\"/\"),i=window.location.search;r.attr({\"xlink:xlink:show\":\"new\",\"xlink:xlink:href\":\"/\"+n[2].split(\".\")[0]+\"/\"+n[1]+i})}}(t,o),s.text(o.text()&&l.text()?\" - \":\"\")}},x.sendDataToCloud=function(t){var e=(window.PLOTLYENV||{}).BASE_URL||t._context.plotlyServerURL;if(e){t.emit(\"plotly_beforeexport\");var r=n.select(t).append(\"div\").attr(\"id\",\"hiddenform\").style(\"display\",\"none\"),i=r.append(\"form\").attr({action:e+\"/external\",method:\"post\",target:\"_blank\"});return i.append(\"input\").attr({type:\"text\",name:\"data\"}).node().value=x.graphJson(t,!1,\"keepdata\"),i.node().submit(),r.remove(),t.emit(\"plotly_afterexport\"),!1}};var w=[\"days\",\"shortDays\",\"months\",\"shortMonths\",\"periods\",\"dateTime\",\"date\",\"time\",\"decimal\",\"thousands\",\"grouping\",\"currency\"],T=[\"year\",\"month\",\"dayMonth\",\"dayMonthYear\"];function k(t,e){var r=t._context.locale;r||(r=\"en-US\");var n=!1,i={};function a(t){for(var r=!0,a=0;a<e.length;a++){var o=e[a];i[o]||(t[o]?i[o]=t[o]:r=!1)}r&&(n=!0)}for(var s=0;s<2;s++){for(var l=t._context.locales,c=0;c<2;c++){var u=(l[r]||{}).format;if(u&&(a(u),n))break;l=o.localeRegistry}var f=r.split(\"-\")[0];if(n||f===r)break;r=f}return n||a(o.localeRegistry.en.format),i}function M(t,e){var r={_fullLayout:e},n=\"x\"===t._id.charAt(0),i=t._mainAxis._anchorAxis,a=\"\",o=\"\",s=\"\";if(i&&(s=i._mainAxis._id,a=n?t._id+s:s+t._id),!a||!e._plots[a]){a=\"\";for(var l=t._counterAxes,c=0;c<l.length;c++){var u=l[c],f=n?t._id+u:u+t._id;o||(o=f);var p=h.getFromId(r,u);if(s&&p.overlaying===s){a=f;break}}}return a||o}function A(t){var e=t.transforms;if(Array.isArray(e)&&e.length)for(var r=0;r<e.length;r++){var n=e[r],i=n._module||b[n.type];if(i&&i.makesData)return!0}return!1}function S(t,e,r,n){for(var i=t.transforms,a=[t],o=0;o<i.length;o++){var s=i[o],l=b[s.type];l&&l.transform&&(a=l.transform(a,{transform:s,fullTrace:t,fullData:e,layout:r,fullLayout:n,transformIndex:o}))}return a}function E(t){return\"string\"==typeof t&&\"px\"===t.substr(t.length-2)&&parseFloat(t)}function L(t){var e=t.margin;if(!t._size){var r=t._size={l:Math.round(e.l),r:Math.round(e.r),t:Math.round(e.t),b:Math.round(e.b),p:Math.round(e.pad)};r.w=Math.round(t.width)-r.l-r.r,r.h=Math.round(t.height)-r.t-r.b}t._pushmargin||(t._pushmargin={}),t._pushmarginIds||(t._pushmarginIds={})}x.supplyDefaults=function(t,e){var r=e&&e.skipUpdateCalc,a=t._fullLayout||{};if(a._skipDefaults)delete a._skipDefaults;else{var s,l=t._fullLayout={},u=t.layout||{},f=t._fullData||[],h=t._fullData=[],d=t.data||[],m=t.calcdata||[],g=t._context||{};t._transitionData||x.createTransitionData(t),l._dfltTitle={plot:y(t,\"Click to enter Plot title\"),x:y(t,\"Click to enter X axis title\"),y:y(t,\"Click to enter Y axis title\"),colorbar:y(t,\"Click to enter Colorscale title\"),annotation:y(t,\"new text\")},l._traceWord=y(t,\"trace\");var b=k(t,w);if(l._mapboxAccessToken=g.mapboxAccessToken,a._initialAutoSizeIsDone){var _=a.width,M=a.height;x.supplyLayoutGlobalDefaults(u,l,b),u.width||(l.width=_),u.height||(l.height=M),x.sanitizeMargins(l)}else{x.supplyLayoutGlobalDefaults(u,l,b);var A=!u.width||!u.height,S=l.autosize,E=g.autosizable;A&&(S||E)?x.plotAutoSize(t,u,l):A&&x.sanitizeMargins(l),!S&&A&&(u.width=l.width,u.height=l.height)}l._d3locale=function(t,e){return t.decimal=e.charAt(0),t.thousands=e.charAt(1),{numberFormat:n.locale(t).numberFormat,timeFormat:i(t).utcFormat}}(b,l.separators),l._extraFormat=k(t,T),l._initialAutoSizeIsDone=!0,l._dataLength=d.length,l._modules=[],l._visibleModules=[],l._basePlotModules=[];var C=l._subplots=function(){var t,e,r=o.collectableSubplotTypes,n={};if(!r){r=[];var i=o.subplotsRegistry;for(var a in i){var s=i[a].attr;if(s&&(r.push(a),Array.isArray(s)))for(e=0;e<s.length;e++)c.pushUnique(r,s[e])}}for(t=0;t<r.length;t++)n[r[t]]=[];return n}(),P=l._splomAxes={x:{},y:{}},I=l._splomSubplots={};l._splomGridDflt={},l._scatterStackOpts={},l._firstScatter={},l._alignmentOpts={},l._colorAxes={},l._requestRangeslider={},l._traceUids=function(t,e){var r,n,i=e.length,a=[];for(r=0;r<t.length;r++){var o=t[r]._fullInput;o!==n&&a.push(o),n=o}var s=a.length,l=new Array(i),u={};function f(t,e){l[e]=t,u[t]=1}function h(t,e){if(t&&\"string\"==typeof t&&!u[t])return f(t,e),!0}for(r=0;r<i;r++){var p=e[r].uid;\"number\"==typeof p&&(p=String(p)),h(p,r)||(r<s&&h(a[r].uid,r)||f(c.randstr(u),r))}return l}(f,d),l._globalTransforms=(t._context||{}).globalTransforms,x.supplyDataDefaults(d,h,u,l);var O=Object.keys(P.x),z=Object.keys(P.y);if(O.length>1&&z.length>1){for(o.getComponentMethod(\"grid\",\"sizeDefaults\")(u,l),s=0;s<O.length;s++)c.pushUnique(C.xaxis,O[s]);for(s=0;s<z.length;s++)c.pushUnique(C.yaxis,z[s]);for(var D in I)c.pushUnique(C.cartesian,D)}if(l._has=x._hasPlotType.bind(l),f.length===h.length)for(s=0;s<h.length;s++)v(h[s],f[s]);x.supplyLayoutModuleDefaults(u,l,h,t._transitionData);var R=l._visibleModules,F=[];for(s=0;s<R.length;s++){var B=R[s].crossTraceDefaults;B&&c.pushUnique(F,B)}for(s=0;s<F.length;s++)F[s](h,l);l._hasOnlyLargeSploms=1===l._basePlotModules.length&&\"splom\"===l._basePlotModules[0].name&&O.length>15&&z.length>15&&0===l.shapes.length&&0===l.images.length,x.linkSubplots(h,l,f,a),x.cleanPlot(h,l,f,a);var N=!(!a._has||!a._has(\"gl2d\")),j=!(!l._has||!l._has(\"gl2d\")),U=!(!a._has||!a._has(\"cartesian\"))||N,V=!(!l._has||!l._has(\"cartesian\"))||j;U&&!V?a._bgLayer.remove():V&&!U&&(l._shouldCreateBgLayer=!0),a._zoomlayer&&!t._dragging&&p({_fullLayout:a}),function(t,e){var r,n=[];e.meta&&(r=e._meta={meta:e.meta,layout:{meta:e.meta}});for(var i=0;i<t.length;i++){var a=t[i];a.meta?n[a.index]=a._meta={meta:a.meta}:e.meta&&(a._meta={meta:e.meta}),e.meta&&(a._meta.layout={meta:e.meta})}n.length&&(r||(r=e._meta={}),r.data=n)}(h,l),v(l,a),o.getComponentMethod(\"colorscale\",\"crossTraceDefaults\")(h,l),l._preGUI||(l._preGUI={}),l._tracePreGUI||(l._tracePreGUI={});var q,H=l._tracePreGUI,G={};for(q in H)G[q]=\"old\";for(s=0;s<h.length;s++)G[q=h[s]._fullInput.uid]||(H[q]={}),G[q]=\"new\";for(q in G)\"old\"===G[q]&&delete H[q];L(l),o.getComponentMethod(\"rangeslider\",\"makeData\")(l),r||m.length!==h.length||x.supplyDefaultsUpdateCalc(m,h)}},x.supplyDefaultsUpdateCalc=function(t,e){for(var r=0;r<e.length;r++){var n=e[r],i=(t[r]||[])[0];if(i&&i.trace){var a=i.trace;if(a._hasCalcTransform){var o,s,l,u=a._arrayAttrs;for(o=0;o<u.length;o++)s=u[o],l=c.nestedProperty(a,s).get().slice(),c.nestedProperty(n,s).set(l)}i.trace=n}}},x.createTransitionData=function(t){t._transitionData||(t._transitionData={}),t._transitionData._frames||(t._transitionData._frames=[]),t._transitionData._frameHash||(t._transitionData._frameHash={}),t._transitionData._counter||(t._transitionData._counter=0),t._transitionData._interruptCallbacks||(t._transitionData._interruptCallbacks=[])},x._hasPlotType=function(t){var e,r=this._basePlotModules||[];for(e=0;e<r.length;e++)if(r[e].name===t)return!0;var n=this._modules||[];for(e=0;e<n.length;e++){var i=n[e].name;if(i===t)return!0;var a=o.modules[i];if(a&&a.categories[t])return!0}return!1},x.cleanPlot=function(t,e,r,n){var i,a,o=n._basePlotModules||[];for(i=0;i<o.length;i++){var s=o[i];s.clean&&s.clean(t,e,r,n)}var l=n._has&&n._has(\"gl\"),c=e._has&&e._has(\"gl\");l&&!c&&void 0!==n._glcontainer&&(n._glcontainer.selectAll(\".gl-canvas\").remove(),n._glcontainer.selectAll(\".no-webgl\").remove(),n._glcanvas=null);var u=!!n._infolayer;t:for(i=0;i<r.length;i++){var f=r[i].uid;for(a=0;a<t.length;a++){if(f===t[a].uid)continue t}u&&n._infolayer.select(\".cb\"+f).remove()}},x.linkSubplots=function(t,e,r,n){var i,a,s=n._plots||{},l=e._plots={},u=e._subplots,f={_fullData:t,_fullLayout:e},p=u.cartesian.concat(u.gl2d||[]);for(i=0;i<p.length;i++){var d,m=p[i],g=s[m],v=h.getFromId(f,m,\"x\"),y=h.getFromId(f,m,\"y\");for(g?d=l[m]=g:(d=l[m]={}).id=m,v._counterAxes.push(y._id),y._counterAxes.push(v._id),v._subplotsWith.push(m),y._subplotsWith.push(m),d.xaxis=v,d.yaxis=y,d._hasClipOnAxisFalse=!1,a=0;a<t.length;a++){var x=t[a];if(x.xaxis===d.xaxis._id&&x.yaxis===d.yaxis._id&&!1===x.cliponaxis){d._hasClipOnAxisFalse=!0;break}}}var b,_=h.list(f,null,!0);for(i=0;i<_.length;i++){var w=null;(b=_[i]).overlaying&&(w=h.getFromId(f,b.overlaying))&&w.overlaying&&(b.overlaying=!1,w=null),b._mainAxis=w||b,w&&(b.domain=w.domain.slice()),b._anchorAxis=\"free\"===b.anchor?null:h.getFromId(f,b.anchor)}for(i=0;i<_.length;i++)if((b=_[i])._counterAxes.sort(h.idSort),b._subplotsWith.sort(c.subplotSort),b._mainSubplot=M(b,e),b._counterAxes.length&&(b.spikemode&&-1!==b.spikemode.indexOf(\"across\")||b.automargin&&b.mirror&&\"free\"!==b.anchor||o.getComponentMethod(\"rangeslider\",\"isVisible\")(b))){var T=1,k=0;for(a=0;a<b._counterAxes.length;a++){var A=h.getFromId(f,b._counterAxes[a]);T=Math.min(T,A.domain[0]),k=Math.max(k,A.domain[1])}T<k&&(b._counterDomainMin=T,b._counterDomainMax=k)}},x.clearExpandedTraceDefaultColors=function(t){var e,r,n;for(r=[],(e=t._module._colorAttrs)||(t._module._colorAttrs=e=[],s.crawl(t._module.attributes,(function(t,n,i,a){r[a]=n,r.length=a+1,\"color\"===t.valType&&void 0===t.dflt&&e.push(r.join(\".\"))}))),n=0;n<e.length;n++){c.nestedProperty(t,\"_input.\"+e[n]).get()||c.nestedProperty(t,e[n]).set(null)}},x.supplyDataDefaults=function(t,e,r,n){var i,a,s,u=n._modules,f=n._visibleModules,h=n._basePlotModules,p=0,d=0;function m(t){e.push(t);var r=t._module;r&&(c.pushUnique(u,r),!0===t.visible&&c.pushUnique(f,r),c.pushUnique(h,t._module.basePlotModule),p++,!1!==t._input.visible&&d++)}n._transformModules=[];var g={},y=[],b=(r.template||{}).data||{},_=l.traceTemplater(b);for(i=0;i<t.length;i++){if(s=t[i],(a=_.newTrace(s)).uid=n._traceUids[i],x.supplyTraceDefaults(s,a,d,n,i),a.index=i,a._input=s,a._expandedIndex=p,a.transforms&&a.transforms.length)for(var w=!1!==s.visible&&!1===a.visible,T=S(a,e,r,n),k=0;k<T.length;k++){var M=T[k],A={_template:a._template,type:a.type,uid:a.uid+k};w&&!1===M.visible&&delete M.visible,x.supplyTraceDefaults(M,A,p,n,i),v(A,M),A.index=i,A._input=s,A._fullInput=a,A._expandedIndex=p,A._expandedInput=M,m(A)}else a._fullInput=a,a._expandedInput=a,m(a);o.traceIs(a,\"carpetAxis\")&&(g[a.carpet]=a),o.traceIs(a,\"carpetDependent\")&&y.push(i)}for(i=0;i<y.length;i++)if((a=e[y[i]]).visible){var E=g[a.carpet];a._carpet=E,E&&E.visible?(a.xaxis=E.xaxis,a.yaxis=E.yaxis):a.visible=!1}},x.supplyAnimationDefaults=function(t){var e;t=t||{};var r={};function n(e,n){return c.coerce(t||{},r,d,e,n)}if(n(\"mode\"),n(\"direction\"),n(\"fromcurrent\"),Array.isArray(t.frame))for(r.frame=[],e=0;e<t.frame.length;e++)r.frame[e]=x.supplyAnimationFrameDefaults(t.frame[e]||{});else r.frame=x.supplyAnimationFrameDefaults(t.frame||{});if(Array.isArray(t.transition))for(r.transition=[],e=0;e<t.transition.length;e++)r.transition[e]=x.supplyAnimationTransitionDefaults(t.transition[e]||{});else r.transition=x.supplyAnimationTransitionDefaults(t.transition||{});return r},x.supplyAnimationFrameDefaults=function(t){var e={};function r(r,n){return c.coerce(t||{},e,d.frame,r,n)}return r(\"duration\"),r(\"redraw\"),e},x.supplyAnimationTransitionDefaults=function(t){var e={};function r(r,n){return c.coerce(t||{},e,d.transition,r,n)}return r(\"duration\"),r(\"easing\"),e},x.supplyFrameDefaults=function(t){var e={};function r(r,n){return c.coerce(t,e,m,r,n)}return r(\"group\"),r(\"name\"),r(\"traces\"),r(\"baseframe\"),r(\"data\"),r(\"layout\"),e},x.supplyTraceDefaults=function(t,e,r,n,i){var a,s=n.colorway||u.defaults,l=s[r%s.length];function f(r,n){return c.coerce(t,e,x.attributes,r,n)}var h=f(\"visible\");f(\"type\"),f(\"name\",n._traceWord+\" \"+i),f(\"uirevision\",n.uirevision);var p=x.getModule(e);if(e._module=p,p){var d=p.basePlotModule,m=d.attr,g=d.attributes;if(m&&g){var v=n._subplots,y=\"\";if(h||\"gl2d\"!==d.name){if(Array.isArray(m))for(a=0;a<m.length;a++){var b=m[a],_=c.coerce(t,e,g,b);v[b]&&c.pushUnique(v[b],_),y+=_}else y=c.coerce(t,e,g,m);v[d.name]&&c.pushUnique(v[d.name],y)}}}if(h){if(f(\"customdata\"),f(\"ids\"),f(\"meta\"),o.traceIs(e,\"showLegend\"))c.coerce(t,e,p.attributes.showlegend?p.attributes:x.attributes,\"showlegend\"),f(\"legendgroup\"),f(\"legendgrouptitle.text\")&&c.coerceFont(f,\"legendgrouptitle.font\",c.extendFlat({},n.font,{size:Math.round(1.1*n.font.size)})),f(\"legendrank\"),e._dfltShowLegend=!0;else e._dfltShowLegend=!1;p&&p.supplyDefaults(t,e,l,n),o.traceIs(e,\"noOpacity\")||f(\"opacity\"),o.traceIs(e,\"notLegendIsolatable\")&&(e.visible=!!e.visible),o.traceIs(e,\"noHover\")||(e.hovertemplate||c.coerceHoverinfo(t,e,n),\"parcats\"!==e.type&&o.getComponentMethod(\"fx\",\"supplyDefaults\")(t,e,l,n)),p&&p.selectPoints&&f(\"selectedpoints\"),x.supplyTransformDefaults(t,e,n)}return e},x.hasMakesDataTransform=A,x.supplyTransformDefaults=function(t,e,r){if(e._length||A(t)){var n=r._globalTransforms||[],i=r._transformModules||[];if(Array.isArray(t.transforms)||0!==n.length)for(var a=t.transforms||[],o=n.concat(a),s=e.transforms=[],l=0;l<o.length;l++){var u,f=o[l],h=f.type,p=b[h],d=!(f._module&&f._module===p),m=p&&\"function\"==typeof p.transform;p||c.warn(\"Unrecognized transform type \"+h+\".\"),p&&p.supplyDefaults&&(d||m)?((u=p.supplyDefaults(f,e,r,t)).type=h,u._module=p,c.pushUnique(i,p)):u=c.extendFlat({},f),s.push(u)}}},x.supplyLayoutGlobalDefaults=function(t,e,r){function n(r,n){return c.coerce(t,e,x.layoutAttributes,r,n)}var i=t.template;c.isPlainObject(i)&&(e.template=i,e._template=i.layout,e._dataTemplate=i.data),n(\"autotypenumbers\");var a=c.coerceFont(n,\"font\");n(\"title.text\",e._dfltTitle.plot),c.coerceFont(n,\"title.font\",{family:a.family,size:Math.round(1.4*a.size),color:a.color}),n(\"title.xref\"),n(\"title.yref\"),n(\"title.x\"),n(\"title.y\"),n(\"title.xanchor\"),n(\"title.yanchor\"),n(\"title.pad.t\"),n(\"title.pad.r\"),n(\"title.pad.b\"),n(\"title.pad.l\"),n(\"uniformtext.mode\")&&n(\"uniformtext.minsize\"),n(\"autosize\",!(t.width&&t.height)),n(\"width\"),n(\"height\"),n(\"margin.l\"),n(\"margin.r\"),n(\"margin.t\"),n(\"margin.b\"),n(\"margin.pad\"),n(\"margin.autoexpand\"),t.width&&t.height&&x.sanitizeMargins(e),o.getComponentMethod(\"grid\",\"sizeDefaults\")(t,e),n(\"paper_bgcolor\"),n(\"separators\",r.decimal+r.thousands),n(\"hidesources\"),n(\"colorway\"),n(\"datarevision\");var s=n(\"uirevision\");n(\"editrevision\",s),n(\"selectionrevision\",s),o.getComponentMethod(\"modebar\",\"supplyLayoutDefaults\")(t,e),o.getComponentMethod(\"shapes\",\"supplyDrawNewShapeDefaults\")(t,e,n),n(\"meta\"),c.isPlainObject(t.transition)&&(n(\"transition.duration\"),n(\"transition.easing\"),n(\"transition.ordering\")),o.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\"),o.getComponentMethod(\"fx\",\"supplyLayoutGlobalDefaults\")(t,e,n)},x.plotAutoSize=function(t,e,r){var n,i,o=t._context||{},s=o.frameMargins,l=c.isPlotDiv(t);if(l&&t.emit(\"plotly_autosize\"),o.fillFrame)n=window.innerWidth,i=window.innerHeight,document.body.style.overflow=\"hidden\";else{var u=l?window.getComputedStyle(t):{};if(n=E(u.width)||E(u.maxWidth)||r.width,i=E(u.height)||E(u.maxHeight)||r.height,a(s)&&s>0){var f=1-2*s;n=Math.round(f*n),i=Math.round(f*i)}}var h=x.layoutAttributes.width.min,p=x.layoutAttributes.height.min;n<h&&(n=h),i<p&&(i=p);var d=!e.width&&Math.abs(r.width-n)>1,m=!e.height&&Math.abs(r.height-i)>1;(m||d)&&(d&&(r.width=n),m&&(r.height=i)),t._initialAutoSize||(t._initialAutoSize={width:n,height:i}),x.sanitizeMargins(r)},x.supplyLayoutModuleDefaults=function(t,e,r,n){var i,a,s,l=o.componentsRegistry,u=e._basePlotModules,f=o.subplotsRegistry.cartesian;for(i in l)(s=l[i]).includeBasePlot&&s.includeBasePlot(t,e);for(var h in u.length||u.push(f),e._has(\"cartesian\")&&(o.getComponentMethod(\"grid\",\"contentDefaults\")(t,e),f.finalizeSubplots(t,e)),e._subplots)e._subplots[h].sort(c.subplotSort);for(a=0;a<u.length;a++)(s=u[a]).supplyLayoutDefaults&&s.supplyLayoutDefaults(t,e,r);var p=e._modules;for(a=0;a<p.length;a++)(s=p[a]).supplyLayoutDefaults&&s.supplyLayoutDefaults(t,e,r);var d=e._transformModules;for(a=0;a<d.length;a++)(s=d[a]).supplyLayoutDefaults&&s.supplyLayoutDefaults(t,e,r,n);for(i in l)(s=l[i]).supplyLayoutDefaults&&s.supplyLayoutDefaults(t,e,r)},x.purge=function(t){var e=t._fullLayout||{};void 0!==e._glcontainer&&(e._glcontainer.selectAll(\".gl-canvas\").remove(),e._glcontainer.remove(),e._glcanvas=null),e._modeBar&&e._modeBar.destroy(),t._transitionData&&(t._transitionData._interruptCallbacks&&(t._transitionData._interruptCallbacks.length=0),t._transitionData._animationRaf&&window.cancelAnimationFrame(t._transitionData._animationRaf)),c.clearThrottle(),c.clearResponsive(t),delete t.data,delete t.layout,delete t._fullData,delete t._fullLayout,delete t.calcdata,delete t.empty,delete t.fid,delete t.undoqueue,delete t.undonum,delete t.autoplay,delete t.changed,delete t._promises,delete t._redrawTimer,delete t._hmlumcount,delete t._hmpixcount,delete t._transitionData,delete t._transitioning,delete t._initialAutoSize,delete t._transitioningWithDuration,delete t._dragging,delete t._dragged,delete t._dragdata,delete t._hoverdata,delete t._snapshotInProgress,delete t._editing,delete t._mouseDownTime,delete t._legendMouseDownTime,t.removeAllListeners&&t.removeAllListeners()},x.style=function(t){var e,r=t._fullLayout._visibleModules,n=[];for(e=0;e<r.length;e++){var i=r[e];i.style&&c.pushUnique(n,i.style)}for(e=0;e<n.length;e++)n[e](t)},x.sanitizeMargins=function(t){if(t&&t.margin){var e,r=t.width,n=t.height,i=t.margin,a=r-(i.l+i.r),o=n-(i.t+i.b);a<0&&(e=(r-1)/(i.l+i.r),i.l=Math.floor(e*i.l),i.r=Math.floor(e*i.r)),o<0&&(e=(n-1)/(i.t+i.b),i.t=Math.floor(e*i.t),i.b=Math.floor(e*i.b))}},x.clearAutoMarginIds=function(t){t._fullLayout._pushmarginIds={}},x.allowAutoMargin=function(t,e){t._fullLayout._pushmarginIds[e]=1};x.autoMargin=function(t,e,r){var n=t._fullLayout,i=n.width,a=n.height,o=n.margin,s=c.constrain(i-o.l-o.r,2,64),l=c.constrain(a-o.t-o.b,2,64),u=Math.max(0,i-s),f=Math.max(0,a-l),h=n._pushmargin,p=n._pushmarginIds;if(!1!==o.autoexpand){if(r){var d=r.pad;if(void 0===d&&(d=Math.min(12,o.l,o.r,o.t,o.b)),u){var m=(r.l+r.r)/u;m>1&&(r.l/=m,r.r/=m)}if(f){var g=(r.t+r.b)/f;g>1&&(r.t/=g,r.b/=g)}var v=void 0!==r.xl?r.xl:r.x,y=void 0!==r.xr?r.xr:r.x,b=void 0!==r.yt?r.yt:r.y,_=void 0!==r.yb?r.yb:r.y;h[e]={l:{val:v,size:r.l+d},r:{val:y,size:r.r+d},b:{val:_,size:r.b+d},t:{val:b,size:r.t+d}},p[e]=1}else delete h[e],delete p[e];if(!n._replotting)return x.doAutoMargin(t)}},x.doAutoMargin=function(t){var e=t._fullLayout,r=e.width,n=e.height;e._size||(e._size={}),L(e);var i=e._size,s=e.margin,l=c.extendFlat({},i),u=s.l,f=s.r,p=s.t,d=s.b,m=e._pushmargin,g=e._pushmarginIds;if(!1!==e.margin.autoexpand){for(var v in m)g[v]||delete m[v];for(var y in m.base={l:{val:0,size:u},r:{val:1,size:f},t:{val:1,size:p},b:{val:0,size:d}},m){var b=m[y].l||{},_=m[y].b||{},w=b.val,T=b.size,k=_.val,M=_.size;for(var A in m){if(a(T)&&m[A].r){var S=m[A].r.val,E=m[A].r.size;if(S>w){var C=(T*S+(E-r)*w)/(S-w),P=(E*(1-w)+(T-r)*(1-S))/(S-w);C+P>u+f&&(u=C,f=P)}}if(a(M)&&m[A].t){var I=m[A].t.val,O=m[A].t.size;if(I>k){var z=(M*I+(O-n)*k)/(I-k),D=(O*(1-k)+(M-n)*(1-I))/(I-k);z+D>d+p&&(d=z,p=D)}}}}}var R=c.constrain(r-s.l-s.r,2,64),F=c.constrain(n-s.t-s.b,2,64),B=Math.max(0,r-R),N=Math.max(0,n-F);if(B){var j=(u+f)/B;j>1&&(u/=j,f/=j)}if(N){var U=(d+p)/N;U>1&&(d/=U,p/=U)}if(i.l=Math.round(u),i.r=Math.round(f),i.t=Math.round(p),i.b=Math.round(d),i.p=Math.round(s.pad),i.w=Math.round(r)-i.l-i.r,i.h=Math.round(n)-i.t-i.b,!e._replotting&&x.didMarginChange(l,i)){\"_redrawFromAutoMarginCount\"in e?e._redrawFromAutoMarginCount++:e._redrawFromAutoMarginCount=1;var V=3*(1+Object.keys(g).length);if(e._redrawFromAutoMarginCount<V)return o.call(\"_doPlot\",t);e._size=l,c.warn(\"Too many auto-margin redraws.\")}!function(t){var e=h.list(t,\"\",!0);[\"_adjustTickLabelsOverflow\",\"_hideCounterAxisInsideTickLabels\"].forEach((function(t){for(var r=0;r<e.length;r++){var n=e[r][t];n&&n()}}))}(t)};var C=[\"l\",\"r\",\"t\",\"b\",\"p\",\"w\",\"h\"];function P(t,e,r){var n=!1;var i=[x.previousPromises,function(){if(t._transitionData)return t._transitioning=!1,function(t){var e=Promise.resolve();if(!t)return e;for(;t.length;)e=e.then(t.shift());return e}(t._transitionData._interruptCallbacks)},r.prepareFn,x.rehover,function(){return t.emit(\"plotly_transitioning\",[]),new Promise((function(i){t._transitioning=!0,e.duration>0&&(t._transitioningWithDuration=!0),t._transitionData._interruptCallbacks.push((function(){n=!0})),r.redraw&&t._transitionData._interruptCallbacks.push((function(){return o.call(\"redraw\",t)})),t._transitionData._interruptCallbacks.push((function(){t.emit(\"plotly_transitioninterrupted\",[])}));var a=0,s=0;function l(){return a++,function(){s++,n||s!==a||function(e){if(!t._transitionData)return;(function(t){if(t)for(;t.length;)t.shift()})(t._transitionData._interruptCallbacks),Promise.resolve().then((function(){if(r.redraw)return o.call(\"redraw\",t)})).then((function(){t._transitioning=!1,t._transitioningWithDuration=!1,t.emit(\"plotly_transitioned\",[])})).then(e)}(i)}}r.runFn(l),setTimeout(l())}))}],a=c.syncOrAsync(i,t);return a&&a.then||(a=Promise.resolve()),a.then((function(){return t}))}x.didMarginChange=function(t,e){for(var r=0;r<C.length;r++){var n=C[r],i=t[n],o=e[n];if(!a(i)||Math.abs(o-i)>1)return!0}return!1},x.graphJson=function(t,e,r,n,i,a){(i&&e&&!t._fullData||i&&!e&&!t._fullLayout)&&x.supplyDefaults(t);var o=i?t._fullData:t.data,s=i?t._fullLayout:t.layout,l=(t._transitionData||{})._frames;function u(t,e){if(\"function\"==typeof t)return e?\"_function_\":null;if(c.isPlainObject(t)){var n,i={};return Object.keys(t).sort().forEach((function(a){if(-1===[\"_\",\"[\"].indexOf(a.charAt(0)))if(\"function\"!=typeof t[a]){if(\"keepdata\"===r){if(\"src\"===a.substr(a.length-3))return}else if(\"keepstream\"===r){if(\"string\"==typeof(n=t[a+\"src\"])&&n.indexOf(\":\")>0&&!c.isPlainObject(t.stream))return}else if(\"keepall\"!==r&&\"string\"==typeof(n=t[a+\"src\"])&&n.indexOf(\":\")>0)return;i[a]=u(t[a],e)}else e&&(i[a]=\"_function\")})),i}return Array.isArray(t)?t.map((function(t){return u(t,e)})):c.isTypedArray(t)?c.simpleMap(t,c.identity):c.isJSDate(t)?c.ms2DateTimeLocal(+t):t}var f={data:(o||[]).map((function(t){var r=u(t);return e&&delete r.fit,r}))};if(!e&&(f.layout=u(s),i)){var h=s._size;f.layout.computed={margin:{b:h.b,l:h.l,r:h.r,t:h.t}}}return l&&(f.frames=u(l)),a&&(f.config=u(t._context,!0)),\"object\"===n?f:JSON.stringify(f)},x.modifyFrames=function(t,e){var r,n,i,a=t._transitionData._frames,o=t._transitionData._frameHash;for(r=0;r<e.length;r++)switch((n=e[r]).type){case\"replace\":i=n.value;var s=(a[n.index]||{}).name,l=i.name;a[n.index]=o[l]=i,l!==s&&(delete o[s],o[l]=i);break;case\"insert\":o[(i=n.value).name]=i,a.splice(n.index,0,i);break;case\"delete\":delete o[(i=a[n.index]).name],a.splice(n.index,1)}return Promise.resolve()},x.computeFrame=function(t,e){var r,n,i,a,o=t._transitionData._frameHash;if(!e)throw new Error(\"computeFrame must be given a string frame name\");var s=o[e.toString()];if(!s)return!1;for(var l=[s],c=[s.name];s.baseframe&&(s=o[s.baseframe.toString()])&&-1===c.indexOf(s.name);)l.push(s),c.push(s.name);for(var u={};s=l.pop();)if(s.layout&&(u.layout=x.extendLayout(u.layout,s.layout)),s.data){if(u.data||(u.data=[]),!(n=s.traces))for(n=[],r=0;r<s.data.length;r++)n[r]=r;for(u.traces||(u.traces=[]),r=0;r<s.data.length;r++)null!=(i=n[r])&&(-1===(a=u.traces.indexOf(i))&&(a=u.data.length,u.traces[a]=i),u.data[a]=x.extendTrace(u.data[a],s.data[r]))}return u},x.recomputeFrameHash=function(t){for(var e=t._transitionData._frameHash={},r=t._transitionData._frames,n=0;n<r.length;n++){var i=r[n];i&&i.name&&(e[i.name]=i)}},x.extendObjectWithContainers=function(t,e,r){var n,i,a,o,s,l,u,f=c.extendDeepNoArrays({},e||{}),h=c.expandObjectPaths(f),p={};if(r&&r.length)for(a=0;a<r.length;a++)void 0===(i=(n=c.nestedProperty(h,r[a])).get())?c.nestedProperty(p,r[a]).set(null):(n.set(null),c.nestedProperty(p,r[a]).set(i));if(t=c.extendDeepNoArrays(t||{},h),r&&r.length)for(a=0;a<r.length;a++)if(l=c.nestedProperty(p,r[a]).get()){for(u=(s=c.nestedProperty(t,r[a])).get(),Array.isArray(u)||(u=[],s.set(u)),o=0;o<l.length;o++){var d=l[o];u[o]=null===d?null:x.extendObjectWithContainers(u[o],d)}s.set(u)}return t},x.dataArrayContainers=[\"transforms\",\"dimensions\"],x.layoutArrayContainers=o.layoutArrayContainers,x.extendTrace=function(t,e){return x.extendObjectWithContainers(t,e,x.dataArrayContainers)},x.extendLayout=function(t,e){return x.extendObjectWithContainers(t,e,x.layoutArrayContainers)},x.transition=function(t,e,r,n,i,a){var o={redraw:i.redraw},s={},l=[];return o.prepareFn=function(){for(var i=Array.isArray(e)?e.length:0,a=n.slice(0,i),o=0;o<a.length;o++){var u=a[o],f=t._fullData[u]._module;if(f){if(f.animatable){var h=f.basePlotModule.name;s[h]||(s[h]=[]),s[h].push(u)}t.data[a[o]]=x.extendTrace(t.data[a[o]],e[o])}}var p=c.expandObjectPaths(c.extendDeepNoArrays({},r)),d=/^[xy]axis[0-9]*$/;for(var m in p)d.test(m)&&delete p[m].range;x.extendLayout(t.layout,p),delete t.calcdata,x.supplyDefaults(t),x.doCalcdata(t);var g=c.expandObjectPaths(r);if(g){var v=t._fullLayout._plots;for(var y in v){var b=v[y],_=b.xaxis,w=b.yaxis,T=_.range.slice(),k=w.range.slice(),M=null,A=null,S=null,E=null;Array.isArray(g[_._name+\".range\"])?M=g[_._name+\".range\"].slice():Array.isArray((g[_._name]||{}).range)&&(M=g[_._name].range.slice()),Array.isArray(g[w._name+\".range\"])?A=g[w._name+\".range\"].slice():Array.isArray((g[w._name]||{}).range)&&(A=g[w._name].range.slice()),T&&M&&(_.r2l(T[0])!==_.r2l(M[0])||_.r2l(T[1])!==_.r2l(M[1]))&&(S={xr0:T,xr1:M}),k&&A&&(w.r2l(k[0])!==w.r2l(A[0])||w.r2l(k[1])!==w.r2l(A[1]))&&(E={yr0:k,yr1:A}),(S||E)&&l.push(c.extendFlat({plotinfo:b},S,E))}}return Promise.resolve()},o.runFn=function(e){var n,i,o=t._fullLayout._basePlotModules,u=l.length;if(r)for(i=0;i<o.length;i++)o[i].transitionAxes&&o[i].transitionAxes(t,l,a,e);for(var f in u?((n=c.extendFlat({},a)).duration=0,delete s.cartesian):n=a,s){var h=s[f];t._fullData[h[0]]._module.basePlotModule.plot(t,h,n,e)}},P(t,a,o)},x.transitionFromReact=function(t,e,r,n){var i=t._fullLayout,a=i.transition,o={},s=[];return o.prepareFn=function(){var t=i._plots;for(var a in o.redraw=!1,\"some\"===e.anim&&(o.redraw=!0),\"some\"===r.anim&&(o.redraw=!0),t){var l=t[a],u=l.xaxis,f=l.yaxis,h=n[u._name].range.slice(),p=n[f._name].range.slice(),d=u.range.slice(),m=f.range.slice();u.setScale(),f.setScale();var g=null,v=null;u.r2l(h[0])===u.r2l(d[0])&&u.r2l(h[1])===u.r2l(d[1])||(g={xr0:h,xr1:d}),f.r2l(p[0])===f.r2l(m[0])&&f.r2l(p[1])===f.r2l(m[1])||(v={yr0:p,yr1:m}),(g||v)&&s.push(c.extendFlat({plotinfo:l},g,v))}return Promise.resolve()},o.runFn=function(r){for(var n,i,o,l=t._fullData,u=t._fullLayout._basePlotModules,f=[],h=0;h<l.length;h++)f.push(h);function p(){if(t._fullLayout)for(var e=0;e<u.length;e++)u[e].transitionAxes&&u[e].transitionAxes(t,s,n,r)}function d(){if(t._fullLayout)for(var e=0;e<u.length;e++)u[e].plot(t,o,i,r)}s.length&&e.anim?\"traces first\"===a.ordering?(n=c.extendFlat({},a,{duration:0}),o=f,i=a,setTimeout(p,a.duration),d()):(n=a,o=null,i=c.extendFlat({},a,{duration:0}),setTimeout(d,n.duration),p()):s.length?(n=a,p()):e.anim&&(o=f,i=a,d())},P(t,a,o)},x.doCalcdata=function(t,e){var r,n,i,a,l=h.list(t),u=t._fullData,p=t._fullLayout,d=new Array(u.length),m=(t.calcdata||[]).slice();for(t.calcdata=d,p._numBoxes=0,p._numViolins=0,p._violinScaleGroupStats={},t._hmpixcount=0,t._hmlumcount=0,p._piecolormap={},p._sunburstcolormap={},p._treemapcolormap={},p._iciclecolormap={},p._funnelareacolormap={},i=0;i<u.length;i++)Array.isArray(e)&&-1===e.indexOf(i)&&(d[i]=m[i]);for(i=0;i<u.length;i++)(r=u[i])._arrayAttrs=s.findArrayAttributes(r),r._extremes={};var g=p._subplots.polar||[];for(i=0;i<g.length;i++)l.push(p[g[i]].radialaxis,p[g[i]].angularaxis);for(var v in p._colorAxes){var y=p[v];!1!==y.cauto&&(delete y.cmin,delete y.cmax)}var x=!1;function _(e){if(r=u[e],n=r._module,!0===r.visible&&r.transforms){if(n&&n.calc){var i=n.calc(t,r);i[0]&&i[0].t&&i[0].t._scene&&delete i[0].t._scene.dirty}for(a=0;a<r.transforms.length;a++){var o=r.transforms[a];(n=b[o.type])&&n.calcTransform&&(r._hasCalcTransform=!0,x=!0,n.calcTransform(t,r,o))}}}function w(e,i){if(r=u[e],!!(n=r._module).isContainer===i){var o=[];if(!0===r.visible&&0!==r._length){delete r._indexToPoints;var s=r.transforms||[];for(a=s.length-1;a>=0;a--)if(s[a].enabled){r._indexToPoints=s[a]._indexToPoints;break}n&&n.calc&&(o=n.calc(t,r))}Array.isArray(o)&&o[0]||(o=[{x:f,y:f}]),o[0].t||(o[0].t={}),o[0].trace=r,d[e]=o}}for(O(l,u,p),i=0;i<u.length;i++)w(i,!0);for(i=0;i<u.length;i++)_(i);for(x&&O(l,u,p),i=0;i<u.length;i++)w(i,!0);for(i=0;i<u.length;i++)w(i,!1);z(t);var T=function(t,e){var r,n,i,a,s,l=[];function u(t,r,n){var i=r._id.charAt(0);if(\"histogram2dcontour\"===t){var a=r._counterAxes[0],o=h.getFromId(e,a),s=\"x\"===i||\"x\"===a&&\"category\"===o.type,l=\"y\"===i||\"y\"===a&&\"category\"===o.type;return function(t,e){return 0===t||0===e||s&&t===n[e].length-1||l&&e===n.length-1?-1:(\"y\"===i?e:t)-1}}return function(t,e){return\"y\"===i?e:t}}var f={min:function(t){return c.aggNums(Math.min,null,t)},max:function(t){return c.aggNums(Math.max,null,t)},sum:function(t){return c.aggNums((function(t,e){return t+e}),null,t)},total:function(t){return c.aggNums((function(t,e){return t+e}),null,t)},mean:function(t){return c.mean(t)},median:function(t){return c.median(t)}};for(r=0;r<t.length;r++){var p=t[r];if(\"category\"===p.type){var d=p.categoryorder.match(I);if(d){var m=d[1],g=d[2],v=p._id.charAt(0),y=\"x\"===v,x=[];for(n=0;n<p._categories.length;n++)x.push([p._categories[n],[]]);for(n=0;n<p._traceIndices.length;n++){var b=p._traceIndices[n],_=e._fullData[b];if(!0===_.visible){var w=_.type;o.traceIs(_,\"histogram\")&&(delete _._xautoBinFinished,delete _._yautoBinFinished);var T=\"splom\"===w,k=\"scattergl\"===w,M=e.calcdata[b];for(i=0;i<M.length;i++){var A,S,E=M[i];if(T){var L=_._axesDim[p._id];if(!y){var C=_._diag[L][0];C&&(p=e._fullLayout[h.id2name(C)])}var P=E.trace.dimensions[L].values;for(a=0;a<P.length;a++)for(A=p._categoriesMap[P[a]],s=0;s<E.trace.dimensions.length;s++)if(s!==L){var O=E.trace.dimensions[s];x[A][1].push(O.values[a])}}else if(k){for(a=0;a<E.t.x.length;a++)y?(A=E.t.x[a],S=E.t.y[a]):(A=E.t.y[a],S=E.t.x[a]),x[A][1].push(S);E.t&&E.t._scene&&delete E.t._scene.dirty}else if(E.hasOwnProperty(\"z\")){S=E.z;var z=u(_.type,p,S);for(a=0;a<S.length;a++)for(s=0;s<S[a].length;s++)(A=z(s,a))+1&&x[A][1].push(S[a][s])}else for(void 0===(A=E.p)&&(A=E[v]),void 0===(S=E.s)&&(S=E.v),void 0===S&&(S=y?E.y:E.x),Array.isArray(S)||(S=void 0===S?[]:[S]),a=0;a<S.length;a++)x[A][1].push(S[a])}}}p._categoriesValue=x;var D=[];for(n=0;n<x.length;n++)D.push([x[n][0],f[m](x[n][1])]);D.sort((function(t,e){return t[1]-e[1]})),p._categoriesAggregatedValue=D,p._initialCategories=D.map((function(t){return t[0]})),\"descending\"===g&&p._initialCategories.reverse(),l=l.concat(p.sortByInitialCategories())}}}return l}(l,t);if(T.length){for(p._numBoxes=0,p._numViolins=0,i=0;i<T.length;i++)w(T[i],!0);for(i=0;i<T.length;i++)w(T[i],!1);z(t)}o.getComponentMethod(\"fx\",\"calc\")(t),o.getComponentMethod(\"errorbars\",\"calc\")(t)};var I=/(total|sum|min|max|mean|median) (ascending|descending)/;function O(t,e,r){var n={};function i(t){t.clearCalc(),\"multicategory\"===t.type&&t.setupMultiCategory(e),n[t._id]=1}c.simpleMap(t,i);for(var a=r._axisMatchGroups||[],o=0;o<a.length;o++)for(var s in a[o])n[s]||i(r[h.id2name(s)])}function z(t){var e,r,n,i=t._fullLayout,a=i._visibleModules,o={};for(r=0;r<a.length;r++){var s=a[r],l=s.crossTraceCalc;if(l){var u=s.basePlotModule.name;o[u]?c.pushUnique(o[u],l):o[u]=[l]}}for(n in o){var f=o[n],h=i._subplots[n];if(Array.isArray(h))for(e=0;e<h.length;e++){var p=h[e],d=\"cartesian\"===n?i._plots[p]:i[p];for(r=0;r<f.length;r++)f[r](t,d,p)}else for(r=0;r<f.length;r++)f[r](t)}}x.rehover=function(t){t._fullLayout._rehover&&t._fullLayout._rehover()},x.redrag=function(t){t._fullLayout._redrag&&t._fullLayout._redrag()},x.generalUpdatePerTraceModule=function(t,e,r,n){var i,a=e.traceHash,o={};for(i=0;i<r.length;i++){var s=r[i],l=s[0].trace;l.visible&&(o[l.type]=o[l.type]||[],o[l.type].push(s))}for(var u in a)if(!o[u]){var f=a[u][0];f[0].trace.visible=!1,o[u]=[f]}for(var h in o){var p=o[h];p[0][0].trace._module.plot(t,e,c.filterVisible(p),n)}e.traceHash=o},x.plotBasePlot=function(t,e,r,n,i){var a=o.getModule(t),s=g(e.calcdata,a)[0];a.plot(e,s,n,i)},x.cleanBasePlot=function(t,e,r,n,i){var a=i._has&&i._has(t),o=r._has&&r._has(t);a&&!o&&i[\"_\"+t+\"layer\"].selectAll(\"g.trace\").remove()}},{\"../components/color\":662,\"../constants/numerical\":775,\"../lib\":799,\"../plot_api/plot_schema\":837,\"../plot_api/plot_template\":838,\"../plots/get_data\":887,\"../registry\":927,\"./animation_attributes\":843,\"./attributes\":845,\"./cartesian/axis_ids\":853,\"./cartesian/handle_outline\":860,\"./command\":876,\"./font_attributes\":878,\"./frame_attributes\":879,\"./layout_attributes\":904,\"@plotly/d3\":58,\"d3-time-format\":172,\"fast-isnumeric\":245}],914:[function(t,e,r){\"use strict\";e.exports={attr:\"subplot\",name:\"polar\",axisNames:[\"angularaxis\",\"radialaxis\"],axisName2dataArray:{angularaxis:\"theta\",radialaxis:\"r\"},layerNames:[\"draglayer\",\"plotbg\",\"backplot\",\"angular-grid\",\"radial-grid\",\"frontplot\",\"angular-line\",\"radial-line\",\"angular-axis\",\"radial-axis\"],radialDragBoxSize:50,angularDragBoxSize:30,cornerLen:25,cornerHalfWidth:2,MINDRAG:8,MINZOOM:20,OFFEDGE:20}},{}],915:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/polygon\").tester,a=n.findIndexOfMin,o=n.isAngleInsideSector,s=n.angleDelta,l=n.angleDist;function c(t,e,r,n){var i,a,o=n[0],s=n[1],l=f(Math.sin(e)-Math.sin(t)),c=f(Math.cos(e)-Math.cos(t)),u=Math.tan(r),h=f(1/u),p=l/c,d=s-p*o;return h?l&&c?a=u*(i=d/(u-p)):c?(i=s*h,a=s):(i=o,a=o*u):l&&c?(i=0,a=d):c?(i=0,a=s):i=a=NaN,[i,a]}function u(t,e,r,i){return n.isFullCircle([e,r])?function(t,e){var r,n=e.length,i=new Array(n+1);for(r=0;r<n;r++){var a=e[r];i[r]=[t*Math.cos(a),t*Math.sin(a)]}return i[r]=i[0].slice(),i}(t,i):function(t,e,r,i){var s,u,f=i.length,h=[];function p(e){return[t*Math.cos(e),t*Math.sin(e)]}function d(t,e,r){return c(t,e,r,p(t))}function m(t){return n.mod(t,f)}function g(t){return o(t,[e,r])}var v=a(i,(function(t){return g(t)?l(t,e):1/0})),y=d(i[v],i[m(v-1)],e);for(h.push(y),s=v,u=0;u<f;s++,u++){var x=i[m(s)];if(!g(x))break;h.push(p(x))}var b=a(i,(function(t){return g(t)?l(t,r):1/0})),_=d(i[b],i[m(b+1)],r);return h.push(_),h.push([0,0]),h.push(h[0].slice()),h}(t,e,r,i)}function f(t){return Math.abs(t)>1e-10?t:0}function h(t,e,r){e=e||0,r=r||0;for(var n=t.length,i=new Array(n),a=0;a<n;a++){var o=t[a];i[a]=[e+o[0],r-o[1]]}return i}e.exports={isPtInsidePolygon:function(t,e,r,n,a){if(!o(e,n))return!1;var s,l;r[0]<r[1]?(s=r[0],l=r[1]):(s=r[1],l=r[0]);var c=i(u(s,n[0],n[1],a)),f=i(u(l,n[0],n[1],a)),h=[t*Math.cos(e),t*Math.sin(e)];return f.contains(h)&&!c.contains(h)},findPolygonOffset:function(t,e,r,n){for(var i=1/0,a=1/0,o=u(t,e,r,n),s=0;s<o.length;s++){var l=o[s];i=Math.min(i,l[0]),a=Math.min(a,-l[1])}return[i,a]},findEnclosingVertexAngles:function(t,e){var r=a(e,(function(e){var r=s(e,t);return r>0?r:1/0})),i=n.mod(r+1,e.length);return[e[r],e[i]]},findIntersectionXY:c,findXYatLength:function(t,e,r,n){var i=-e*r,a=e*e+1,o=2*(e*i-r),s=i*i+r*r-t*t,l=Math.sqrt(o*o-4*a*s),c=(-o+l)/(2*a),u=(-o-l)/(2*a);return[[c,e*c+i+n],[u,e*u+i+n]]},clampTiny:f,pathPolygon:function(t,e,r,n,i,a){return\"M\"+h(u(t,e,r,n),i,a).join(\"L\")},pathPolygonAnnulus:function(t,e,r,n,i,a,o){var s,l;t<e?(s=t,l=e):(s=e,l=t);var c=h(u(s,r,n,i),a,o);return\"M\"+h(u(l,r,n,i),a,o).reverse().join(\"L\")+\"M\"+c.join(\"L\")}}},{\"../../lib\":799,\"../../lib/polygon\":811}],916:[function(t,e,r){\"use strict\";var n=t(\"../get_data\").getSubplotCalcData,i=t(\"../../lib\").counterRegex,a=t(\"./polar\"),o=t(\"./constants\"),s=o.attr,l=o.name,c=i(l),u={};u[s]={valType:\"subplotid\",dflt:l,editType:\"calc\"},e.exports={attr:s,name:l,idRoot:l,idRegex:c,attrRegex:c,attributes:u,layoutAttributes:t(\"./layout_attributes\"),supplyLayoutDefaults:t(\"./layout_defaults\"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots[l],o=0;o<i.length;o++){var s=i[o],c=n(r,l,s),u=e[s]._subplot;u||(u=a(t,s),e[s]._subplot=u),u.plot(c,e,t._promises)}},clean:function(t,e,r,n){for(var i=n._subplots[l]||[],a=n._has&&n._has(\"gl\"),o=e._has&&e._has(\"gl\"),s=a&&!o,c=0;c<i.length;c++){var u=i[c],f=n[u]._subplot;if(!e[u]&&f)for(var h in f.framework.remove(),f.layers[\"radial-axis-title\"].remove(),f.clipPaths)f.clipPaths[h].remove();s&&f._scene&&(f._scene.destroy(),f._scene=null)}},toSVG:t(\"../cartesian\").toSVG}},{\"../../lib\":799,\"../cartesian\":863,\"../get_data\":887,\"./constants\":914,\"./layout_attributes\":917,\"./layout_defaults\":918,\"./polar\":919}],917:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../cartesian/layout_attributes\"),a=t(\"../domain\").attributes,o=t(\"../../lib\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=s({color:i.color,showline:o({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:o({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth},\"plot\",\"from-root\"),c=s({tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickfont:i.tickfont,tickangle:i.tickangle,tickformat:i.tickformat,tickformatstops:i.tickformatstops,layer:i.layer},\"plot\",\"from-root\"),u={visible:o({},i.visible,{dflt:!0}),type:o({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:o({},i.autorange,{editType:\"plot\"}),rangemode:{valType:\"enumerated\",values:[\"tozero\",\"nonnegative\",\"normal\"],dflt:\"tozero\",editType:\"calc\"},range:o({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],editType:\"plot\"}),categoryorder:i.categoryorder,categoryarray:i.categoryarray,angle:{valType:\"angle\",editType:\"plot\"},side:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"clockwise\",editType:\"plot\"},title:{text:o({},i.title.text,{editType:\"plot\",dflt:\"\"}),font:o({},i.title.font,{editType:\"plot\"}),editType:\"plot\"},hoverformat:i.hoverformat,uirevision:{valType:\"any\",editType:\"none\"},editType:\"calc\",_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}};o(u,l,c);var f={visible:o({},i.visible,{dflt:!0}),type:{valType:\"enumerated\",values:[\"-\",\"linear\",\"category\"],dflt:\"-\",editType:\"calc\",_noTemplating:!0},autotypenumbers:i.autotypenumbers,categoryorder:i.categoryorder,categoryarray:i.categoryarray,thetaunit:{valType:\"enumerated\",values:[\"radians\",\"degrees\"],dflt:\"degrees\",editType:\"calc\"},period:{valType:\"number\",editType:\"calc\",min:0},direction:{valType:\"enumerated\",values:[\"counterclockwise\",\"clockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",editType:\"calc\"},hoverformat:i.hoverformat,uirevision:{valType:\"any\",editType:\"none\"},editType:\"calc\"};o(f,l,c),e.exports={domain:a({name:\"polar\",editType:\"plot\"}),sector:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],dflt:[0,360],editType:\"plot\"},hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"plot\"},bgcolor:{valType:\"color\",editType:\"plot\",dflt:n.background},radialaxis:u,angularaxis:f,gridshape:{valType:\"enumerated\",values:[\"circular\",\"linear\"],dflt:\"circular\",editType:\"plot\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"calc\"}},{\"../../components/color/attributes\":661,\"../../lib\":799,\"../../plot_api/edit_types\":831,\"../cartesian/layout_attributes\":864,\"../domain\":877}],918:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"../subplot_defaults\"),s=t(\"../get_data\").getSubplotData,l=t(\"../cartesian/tick_value_defaults\"),c=t(\"../cartesian/tick_mark_defaults\"),u=t(\"../cartesian/tick_label_defaults\"),f=t(\"../cartesian/category_order_defaults\"),h=t(\"../cartesian/line_grid_defaults\"),p=t(\"../cartesian/axis_autotype\"),d=t(\"./layout_attributes\"),m=t(\"./set_convert\"),g=t(\"./constants\"),v=g.axisNames;function y(t,e,r,o){var p=r(\"bgcolor\");o.bgColor=i.combine(p,o.paper_bgcolor);var y=r(\"sector\");r(\"hole\");var b,_=s(o.fullData,g.name,o.id),w=o.layoutOut;function T(t,e){return r(b+\".\"+t,e)}for(var k=0;k<v.length;k++){b=v[k],n.isPlainObject(t[b])||(t[b]={});var M=t[b],A=a.newContainer(e,b);A._id=A._name=b,A._attr=o.id+\".\"+b,A._traceIndices=_.map((function(t){return t._expandedIndex}));var S=g.axisName2dataArray[b],E=x(M,A,T,_,S,o);f(M,A,T,{axData:_,dataAttr:S});var L,C,P=T(\"visible\");switch(m(A,e,w),T(\"uirevision\",e.uirevision),P&&(C=(L=T(\"color\"))===M.color?L:o.font.color),A._m=1,b){case\"radialaxis\":var I=T(\"autorange\",!A.isValidRange(M.range));M.autorange=I,!I||\"linear\"!==E&&\"-\"!==E||T(\"rangemode\"),\"reversed\"===I&&(A._m=-1),T(\"range\"),A.cleanRange(\"range\",{dfltRange:[0,1]}),P&&(T(\"side\"),T(\"angle\",y[0]),T(\"title.text\"),n.coerceFont(T,\"title.font\",{family:o.font.family,size:n.bigFont(o.font.size),color:C}));break;case\"angularaxis\":if(\"date\"===E){n.log(\"Polar plots do not support date angular axes yet.\");for(var O=0;O<_.length;O++)_[O].visible=!1;E=M.type=A.type=\"linear\"}T(\"linear\"===E?\"thetaunit\":\"period\");var z=T(\"direction\");T(\"rotation\",{counterclockwise:0,clockwise:90}[z])}if(P)l(M,A,T,A.type),u(M,A,T,A.type,{tickSuffixDflt:\"degrees\"===A.thetaunit?\"\\xb0\":void 0}),c(M,A,T,{outerTicks:!0}),T(\"showticklabels\")&&(n.coerceFont(T,\"tickfont\",{family:o.font.family,size:o.font.size,color:C}),T(\"tickangle\"),T(\"tickformat\")),h(M,A,T,{dfltColor:L,bgColor:o.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:d[b]}),T(\"layer\");\"category\"!==E&&T(\"hoverformat\"),A._input=M}\"category\"===e.angularaxis.type&&r(\"gridshape\")}function x(t,e,r,n,i,a){var o=r(\"autotypenumbers\",a.autotypenumbersDflt);if(\"-\"===r(\"type\")){for(var s,l=0;l<n.length;l++)if(n[l].visible){s=n[l];break}s&&s[i]&&(e.type=p(s[i],\"gregorian\",{noMultiCategory:!0,autotypenumbers:o})),\"-\"===e.type?e.type=\"linear\":t.type=e.type}return e.type}e.exports=function(t,e,r){o(t,e,r,{type:g.name,attributes:d,handleDefaults:y,font:e.font,autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,fullData:r,layoutOut:e})}},{\"../../components/color\":662,\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../cartesian/axis_autotype\":850,\"../cartesian/category_order_defaults\":854,\"../cartesian/line_grid_defaults\":866,\"../cartesian/tick_label_defaults\":871,\"../cartesian/tick_mark_defaults\":872,\"../cartesian/tick_value_defaults\":873,\"../get_data\":887,\"../subplot_defaults\":921,\"./constants\":914,\"./layout_attributes\":917,\"./set_convert\":920}],919:[function(t,e,r){\"use strict\";var 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(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),M=t(\"../../plot_api/subroutines\").redrawReglTraces,A=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=o._,C=o.mod,P=o.deg2rad,I=o.rad2deg;function O(t,e){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 r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var z=O.prototype;function D(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function R(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function F(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}e.exports=function(t,e){return new O(t,e)},z.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),f.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},z.updateLayers=function(t,e){var r=this.layers,i=e.radialaxis,a=e.angularaxis,o=S.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===a.layer,u=\"below traces\"===i.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var f=this.framework.selectAll(\".polarsublayer\").data(l,String);f.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),f.order()},z.updateLayout=function(t,e){var r=this.layers,n=t._size,i=e.radialaxis,a=e.angularaxis,o=e.domain.x,s=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-s[1]);var f=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(s[1]-s[0]),p=e.sector;this.sectorInRad=p.map(P);var d,m,g,v,y,x=this.sectorBBox=function(t){var e,r,n,i,a=t[0],o=t[1]-a,s=C(a,360),l=s+o,c=Math.cos(P(s)),u=Math.sin(P(s)),f=Math.cos(P(l)),h=Math.sin(P(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&h<=0?0:Math.max(u,h);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&f>=0?0:Math.min(c,f);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&h>=0?0:Math.min(u,h);n=l>=360?1:c<=0&&f<=0?0:Math.max(c,f);return[e,r,n,i]}(p),b=x[2]-x[0],_=x[3]-x[1],w=h/f,T=Math.abs(_/b);w>T?(d=f,y=(h-(m=f*T))/n.h/2,g=[o[0],o[1]],v=[s[0]+y,s[1]-y]):(m=h,y=(f-(d=h/T))/n.w/2,g=[o[0]+y,o[1]-y],v=[s[0],s[1]]),this.xLength2=d,this.yLength2=m,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],M=this.yOffset2=n.t+n.h*(1-v[1]),A=this.radius=d/b,S=this.innerRadius=e.hole*A,E=this.cx=k-A*x[0],L=this.cy=M+A*x[3],I=this.cxx=E-k,O=this.cyy=L-M;this.radialAxis=this.mockAxis(t,e,i,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[i.side],_realSide:i.side,domain:[S/n.w,A/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(I,O)),r.frontplot.attr(\"transform\",l(k,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(E,L)).call(c.fill,e.bgcolor)},z.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},z.mockCartesianAxis=function(t,e,r){var n=this,i=r._id,a=o.extendFlat({type:\"linear\"},r);p(a,t);var s={x:[0,2],y:[1,3]};return a.setRange=function(){var t=n.sectorBBox,r=s[i],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);a.range=[t[r[0]]*l,t[r[1]]*l]},a.isPtWithinRange=\"x\"===i?function(t){return n.isPtInside(t)}:function(){return!0},a.setRange(),a.setScale(),a},z.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=e.radialaxis;n.setScale(),m(r,n);var a=n.range;i.range=a.slice(),i._input.range=a.slice(),n._rl=[n.r2l(a[0],null,\"gregorian\"),n.r2l(a[1],null,\"gregorian\")]},z.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=e.radialaxis,m=C(e.sector[0],360),g=r.radialAxis,v=u<a;r.fillViewInitialKey(\"radialaxis.angle\",d.angle),r.fillViewInitialKey(\"radialaxis.range\",g.range.slice()),g.setGeometry(),\"auto\"===g.tickangle&&m>90&&m<=270&&(g.tickangle=180);var y=function(t){return l(g.l2p(t.x)+u,0)},x=D(d);if(r.radialTickLayout!==x&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=x),v){g.setScale();var b=h.calcTicks(g),_=h.clipEnds(g,b),w=h.getTickSigns(g)[2];h.drawTicks(n,g,{vals:b,layer:i[\"radial-axis\"],path:h.makeTickPath(g,0,w),transFn:y,crisp:!1}),h.drawGrid(n,g,{vals:_,layer:i[\"radial-grid\"],path:function(t){return r.pathArc(g.r2p(t.x)+u)},transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:b,layer:i[\"radial-axis\"],transFn:y,labelFns:h.makeLabelFns(g,0)})}var T=r.radialAxisAngle=r.vangles?I(R(P(d.angle),r.vangles)):d.angle,k=l(f,p),M=k+s(-T);F(i[\"radial-axis\"],v&&(d.showticklabels||d.ticks),{transform:M}),F(i[\"radial-grid\"],v&&d.showgrid,{transform:k}),F(i[\"radial-line\"].select(\"line\"),v&&d.showline,{x1:u,y1:0,x2:a,y2:0,transform:M}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},z.updateRadialAxisTitle=function(t,e,r){var n=this.gd,i=this.radius,a=this.cx,o=this.cy,s=e.radialaxis,l=this.id+\"title\",c=void 0!==r?r:this.radialAxisAngle,f=P(c),h=Math.cos(f),p=Math.sin(f),d=0;if(s.title){var m=u.bBox(this.layers[\"radial-axis\"].node()).height,g=s.title.font.size;d=\"counterclockwise\"===s.side?-m-.4*g:m+.8*g}this.layers[\"radial-axis-title\"]=x.draw(n,l,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:L(n,\"Click to enter radial axis title\"),attributes:{x:a+i/2*h+d*p,y:o-i/2*p+d*h,\"text-anchor\":\"middle\"},transform:{rotate:-c}})},z.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=e.angularaxis,m=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",d.rotation),m.setGeometry(),m.setScale();var g=function(t){return m.t2g(t.x)};\"linear\"===m.type&&\"radians\"===m.thetaunit&&(m.tick0=I(m.tick0),m.dtick=I(m.dtick));var v=function(t){return l(f+a*Math.cos(t),p-a*Math.sin(t))},y=h.makeLabelFns(m,0).labelStandoff,x={xFn:function(t){var e=g(t);return Math.cos(e)*y},yFn:function(t){var e=g(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(y+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*A)},anchorFn:function(t){var e=g(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=g(t);return-.5*(1+Math.sin(n))*r}},b=D(d);r.angularTickLayout!==b&&(i[\"angular-axis\"].selectAll(\".\"+m._id+\"tick\").remove(),r.angularTickLayout=b);var _,w=h.calcTicks(m);if(\"linear\"===e.gridshape?(_=w.map(g),o.angleDelta(_[0],_[1])<0&&(_=_.slice().reverse())):_=null,r.vangles=_,\"category\"===m.type&&(w=w.filter((function(t){return o.isAngleInsideSector(g(t),r.sectorInRad)}))),m.visible){var T=\"inside\"===m.ticks?-1:1,k=(m.linewidth||1)/2;h.drawTicks(n,m,{vals:w,layer:i[\"angular-axis\"],path:\"M\"+T*k+\",0h\"+T*m.ticklen,transFn:function(t){var e=g(t);return v(e)+s(-I(e))},crisp:!1}),h.drawGrid(n,m,{vals:w,layer:i[\"angular-grid\"],path:function(t){var e=g(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+u*r,p-u*n]+\"L\"+[f+a*r,p-a*n]},transFn:o.noop,crisp:!1}),h.drawLabels(n,m,{vals:w,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return v(g(t))},labelFns:x})}F(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},z.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},z.updateMainDrag=function(t){var e,r,s=this,c=s.gd,u=s.layers,f=t._zoomlayer,h=S.MINZOOM,p=S.OFFEDGE,d=s.radius,m=s.innerRadius,x=s.cx,T=s.cy,k=s.cxx,M=s.cyy,A=s.sectorInRad,L=s.vangles,C=s.radialAxis,P=E.clampTiny,I=E.findXYatLength,O=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,D=S.cornerLen/2,R=g.makeDragger(u,\"path\",\"maindrag\",\"crosshair\");n.select(R).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(x,T));var F,B,N,j,U,V,q,H,G,Y={element:R,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-k,e-M)}function Z(t,e){return Math.atan2(M-e,t-k)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*z);var r=D/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,d)),o=a-z,l=a+z;return\"M\"+J(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+J(o,i)+\"L\"+J(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+J(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*z);var n,i,a=J(t,e),o=J(t,r),l=P((a[0]+o[0])/2),c=P((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=I(z,u,l,c);n=I(D,f,h[0][0],h[0][1]),i=I(D,f,h[1][0],h[1][1])}else{var p,d;c?(p=D,d=z):(p=z,d=D),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function $(t,e){return e=Math.max(Math.min(e,d),m),t<p?t=0:d-t<p?t=d:e<p?e=0:d-e<p&&(e=d),Math.abs(e-t)>h?(t<e?(N=t,j=e):(N=e,j=t),!0):(N=null,j=null,!1)}function tt(t,e){t=t||U,e=e||\"M0,0Z\",H.attr(\"d\",t),G.attr(\"d\",e),g.transitionZoombox(H,G,V,q),V=!0;var r={};at(r),c.emit(\"plotly_relayouting\",r)}function et(t,n){var i,a,o=F+(t*=e),l=B+(n*=r),c=X(F,B),u=Math.min(X(o,l),d),f=Z(F,B);$(c,u)&&(i=U+s.pathSector(j),N&&(i+=s.pathSector(N)),a=K(N,f)+K(j,f)),tt(i,a)}function rt(t,e,r,n){var i=E.findIntersectionXY(r,n,r,[t-k,M-e]);return W(i[0],i[1])}function nt(t,e){var r,n,i=F+t,a=B+e,o=Z(F,B),l=Z(i,a),c=O(o,L),u=O(l,L);$(rt(F,B,c[0],c[1]),Math.min(rt(i,a,u[0],u[1]),d))&&(r=U+s.pathSector(j),N&&(r+=s.pathSector(N)),n=[Q(N,c[0],c[1]),Q(j,c[0],c[1])].join(\" \")),tt(r,n)}function it(){if(g.removeZoombox(c),null!==N&&null!==j){var t={};at(t),g.showDoubleClickNotifier(c),a.call(\"_guiRelayout\",c,t)}}function at(t){var e=C._rl,r=(e[1]-e[0])/(1-m/d)/d,n=[e[0]+(N-m)*r,e[0]+(j-m)*r];t[s.id+\".radialaxis.range\"]=n}function ot(t,e){var r=c._fullLayout.clickmode;if(g.removeZoombox(c),2===t){var n={};for(var i in s.viewInitial)n[s.id+\".\"+i]=s.viewInitial[i];c.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",c,n)}r.indexOf(\"select\")>-1&&1===t&&_(e,c,[s.xaxis],[s.yaxis],s.id,Y),r.indexOf(\"event\")>-1&&y.click(c,e,s.id)}Y.prepFn=function(t,n,a){var l=c._fullLayout.dragmode,u=R.getBoundingClientRect();c._fullLayout._calcInverseTransform(c);var h=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var p=o.apply3DTransform(h)(n-u.left,a-u.top);if(F=p[0],B=p[1],L){var m=E.findPolygonOffset(d,A[0],A[1],L);F+=k+m[0],B+=M+m[1]}switch(l){case\"zoom\":Y.moveFn=L?nt:et,Y.clickFn=ot,Y.doneFn=it,function(){N=null,j=null,U=s.pathSubplot(),V=!1;var t=c._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(H=g.makeZoombox(f,q,x,T,U)).attr(\"fill-rule\",\"evenodd\"),G=g.makeCorners(f,x,T),w(c)}();break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},R.onmousemove=function(t){y.hover(c,t,s.id),c._fullLayout._lasthover=R,c._fullLayout._hoversubplot=s.id},R.onmouseout=function(t){c._dragging||v.unhover(c,t)},v.init(Y)},z.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,m=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(m.visible){var b,_,T,A=P(i.radialAxisAngle),E=m._rl,L=E[0],C=E[1],O=E[r],z=.75*(E[1]-E[0])/(1-e.hole)/f;r?(b=p+(f+x)*Math.cos(A),_=d-(f+x)*Math.sin(A),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(A),_=d-(h-x)*Math.sin(A),T=\"radialdrag-inner\");var D,B,N,j=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),U={element:j,gd:c};F(n.select(j),m.visible&&h<f,{transform:l(b,_)}),U.prepFn=function(){D=null,B=null,N=null,U.moveFn=V,U.doneFn=q,w(c)},U.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(U)}function V(t,e){if(D)D(t,e);else{var n=[t,-e],a=[Math.cos(A),Math.sin(A)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(D=s<.5?H:G)}var l={};!function(t){null!==B?t[i.id+\".radialaxis.angle\"]=B:null!==N&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=N)}(l),c.emit(\"plotly_relayouting\",l)}function q(){null!==B?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",B):null!==N&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",N)}function H(t,e){if(0!==r){var n=b+t,a=_+e;B=Math.atan2(d-a,n-p),i.vangles&&(B=R(B,i.vangles)),B=I(B);var o=l(p,d)+s(-B);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var c=i.gd._fullLayout,f=c[i.id];i.updateRadialAxisTitle(c,f,B)}}function G(t,e){var n=o.dot([t,-e],[Math.cos(A),Math.sin(A)]);if(N=O-z*n,z>0==(r?N>L:N<C)){var s=c._fullLayout,l=s[i.id];m.range[r]=N,m._rl[r]=N,i.updateRadialAxis(s,l),i.xaxis.setRange(),i.xaxis.setScale(),i.yaxis.setRange(),i.yaxis.setScale();var u=!1;for(var f in i.traceHash){var h=i.traceHash[f],p=o.filterVisible(h);h[0][0].trace._module.plot(c,i,p,l),a.traceIs(f,\"gl\")&&p.length&&(u=!0)}u&&(k(c),M(c))}else N=null}},z.updateAngularDrag=function(t){var e=this,r=e.gd,i=e.layers,c=e.radius,f=e.angularAxis,h=e.cx,p=e.cy,d=e.cxx,m=e.cyy,y=S.angularDragBoxSize,x=g.makeDragger(i,\"path\",\"angulardrag\",\"move\"),b={element:x,gd:r};function _(t,e){return Math.atan2(m+y-e,t-d-y)}n.select(x).attr(\"d\",e.pathAnnulus(c,c+y)).attr(\"transform\",l(h,p)).call(T,\"move\");var A,E,L,C,P,O,z=i.frontplot.select(\".scatterlayer\").selectAll(\".trace\"),D=z.selectAll(\".point\"),R=z.selectAll(\".textpoint\");function F(c,g){var v=e.gd._fullLayout,y=v[e.id],x=_(A+c*t._invScaleX,E+g*t._invScaleY),b=I(x-O);if(C=L+b,i.frontplot.attr(\"transform\",l(e.xOffset2,e.yOffset2)+s([-b,d,m])),e.vangles){P=e.radialAxisAngle+b;var w=l(h,p)+s(-b),T=l(h,p)+s(-P);i.bg.attr(\"transform\",w),i[\"radial-grid\"].attr(\"transform\",w),i[\"radial-axis\"].attr(\"transform\",T),i[\"radial-line\"].select(\"line\").attr(\"transform\",T),e.updateRadialAxisTitle(v,y,P)}else e.clipPaths.forTraces.select(\"path\").attr(\"transform\",l(d,m)+s(b));D.each((function(){var t=n.select(this),e=u.getTranslate(t);t.attr(\"transform\",l(e.x,e.y)+s([b]))})),R.each((function(){var t=n.select(this),e=t.select(\"text\"),r=u.getTranslate(t);t.attr(\"transform\",s([b,e.attr(\"x\"),e.attr(\"y\")])+l(r.x,r.y))})),f.rotation=o.modHalf(C,360),e.updateAngularAxis(v,y),e._hasClipOnAxisFalse&&!o.isFullCircle(e.sectorInRad)&&z.call(u.hideOutsideRangePoints,e);var S=!1;for(var F in e.traceHash)if(a.traceIs(F,\"gl\")){var N=e.traceHash[F],j=o.filterVisible(N);N[0][0].trace._module.plot(r,e,j,y),j.length&&(S=!0)}S&&(k(r),M(r));var U={};B(U),r.emit(\"plotly_relayouting\",U)}function B(t){t[e.id+\".angularaxis.rotation\"]=C,e.vangles&&(t[e.id+\".radialaxis.angle\"]=P)}function N(){R.select(\"text\").attr(\"transform\",null);var t={};B(t),a.call(\"_guiRelayout\",r,t)}b.prepFn=function(n,i,a){var s=t[e.id];L=s.angularaxis.rotation;var l=x.getBoundingClientRect();A=i-l.left,E=a-l.top,r._fullLayout._calcInverseTransform(r);var c=o.apply3DTransform(t._invTransform)(A,E);A=c[0],E=c[1],O=_(A,E),b.moveFn=F,b.doneFn=N,w(r)},e.vangles&&!o.isFullCircle(e.sectorInRad)&&(b.prepFn=o.noop,T(n.select(x),null)),v.init(b)},z.isPtInside=function(t){var e=this.sectorInRad,r=this.vangles,n=this.angularAxis.c2g(t.theta),i=this.radialAxis,a=i.c2l(t.r),s=i._rl;return(r?E.isPtInsidePolygon:o.isPtInsideSector)(a,n,s,e,r)},z.pathArc=function(t){var e=this.sectorInRad,r=this.vangles;return(r?E.pathPolygon:o.pathArc)(t,e[0],e[1],r)},z.pathSector=function(t){var e=this.sectorInRad,r=this.vangles;return(r?E.pathPolygon:o.pathSector)(t,e[0],e[1],r)},z.pathAnnulus=function(t,e){var r=this.sectorInRad,n=this.vangles;return(n?E.pathPolygonAnnulus:o.pathAnnulus)(t,e,r[0],r[1],n)},z.pathSubplot=function(){var t=this.innerRadius,e=this.radius;return t?this.pathAnnulus(t,e):this.pathSector(e)},z.fillViewInitialKey=function(t,e){t in this.viewInitial||(this.viewInitial[t]=e)}},{\"../../components/color\":662,\"../../components/dragelement\":681,\"../../components/drawing\":684,\"../../components/fx\":702,\"../../components/titles\":760,\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/clear_gl_canvases\":783,\"../../lib/setcursor\":820,\"../../plot_api/subroutines\":839,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"../cartesian/autorange\":848,\"../cartesian/dragbox\":858,\"../cartesian/select\":869,\"../cartesian/set_convert\":870,\"../plots\":913,\"./constants\":914,\"./helpers\":915,\"./set_convert\":920,\"@plotly/d3\":58,tinycolor2:594}],920:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../cartesian/set_convert\"),a=n.deg2rad,o=n.rad2deg;e.exports=function(t,e,r){switch(i(t,r),t._id){case\"x\":case\"radialaxis\":!function(t,e){var r=e._subplot;t.setGeometry=function(){var e=t._rl[0],n=t._rl[1],i=r.innerRadius,a=(r.radius-i)/(n-e),o=i/a,s=e>n?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o<l;o++)a[o]=c(s[o])}else{var u=i+\"0\",f=\"d\"+i,h=u in e?c(e[u]):0,p=e[f]?c(e[f]):(t.period||2*Math.PI)/l;for(a=new Array(l),o=0;o<l;o++)a[o]=h+o*p}return a},t.setGeometry=function(){var i,s,l,c,u=e.sector,f=u.map(a),h={clockwise:-1,counterclockwise:1}[t.direction],p=a(t.rotation),d=function(t){return h*t+p},m=function(t){return(t-p)/h};switch(r){case\"linear\":s=i=n.identity,c=a,l=o,t.range=n.isFullCircle(f)?[u[0],u[0]+360]:f.map(m).map(o);break;case\"category\":var g=t._categories.length,v=t.period?Math.max(t.period,g):g;0===v&&(v=1),s=c=function(t){return 2*t*Math.PI/v},i=l=function(t){return t*v/Math.PI/2},t.range=[0,v]}t.c2g=function(t){return d(s(t))},t.g2c=function(t){return i(m(t))},t.t2g=function(t){return d(c(t))},t.g2t=function(t){return l(m(t))}}}(t,e)}}},{\"../../lib\":799,\"../cartesian/set_convert\":870}],921:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../plot_api/plot_template\"),a=t(\"./domain\").defaults;e.exports=function(t,e,r,o){var s,l,c=o.type,u=o.attributes,f=o.handleDefaults,h=o.partition||\"x\",p=e._subplots[c],d=p.length,m=d&&p[0].replace(/\\d+$/,\"\");function g(t,e){return n.coerce(s,l,u,t,e)}for(var v=0;v<d;v++){var y=p[v];s=t[y]?t[y]:t[y]={},l=i.newContainer(e,y,m),g(\"uirevision\",e.uirevision);var x={};x[h]=[v/d,(v+1)/d],a(l,e,g,x),o.id=y,f(s,l,g,o)}}},{\"../lib\":799,\"../plot_api/plot_template\":838,\"./domain\":877}],922:[function(t,e,r){\"use strict\";var n=t(\"../constants/docs\");n.FORMAT_LINK,n.DATE_FORMAT_LINK;function i(t){var e=t.description?\" \"+t.description:\"\",r=t.keys||[];if(r.length>0){for(var n=[],i=0;i<r.length;i++)n[i]=\"`\"+r[i]+\"`\";e+=\"Finally, the template string has access to \",e=1===r.length?\"variable \"+n[0]:\"variables \"+n.slice(0,-1).join(\", \")+\" and \"+n.slice(-1)+\".\"}return e}r.hovertemplateAttrs=function(t,e){t=t||{};i(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"none\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r},r.texttemplateAttrs=function(t,e){t=t||{};i(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"calc\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r}},{\"../constants/docs\":770}],923:[function(t,e,r){\"use strict\";var n=t(\"./ternary\"),i=t(\"../../plots/get_data\").getSubplotCalcData,a=t(\"../../lib\").counterRegex;r.name=\"ternary\";var o=r.attr=\"subplot\";r.idRoot=\"ternary\",r.idRegex=r.attrRegex=a(\"ternary\"),(r.attributes={})[o]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots.ternary,o=0;o<a.length;o++){var s=a[o],l=i(r,\"ternary\",s),c=e[s]._subplot;c||(c=new n({id:s,graphDiv:t,container:e._ternarylayer.node()},e),e[s]._subplot=c),c.plot(l,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=n._subplots.ternary||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers[\"a-title\"].remove(),s.layers[\"b-title\"].remove(),s.layers[\"c-title\"].remove())}}},{\"../../lib\":799,\"../../plots/get_data\":887,\"./layout_attributes\":924,\"./layout_defaults\":925,\"./ternary\":926}],924:[function(t,e,r){\"use strict\";var 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,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,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\":661,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../cartesian/layout_attributes\":864,\"../domain\":877}],925:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../plot_api/plot_template\"),a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"../cartesian/tick_label_defaults\"),l=t(\"../cartesian/tick_mark_defaults\"),c=t(\"../cartesian/tick_value_defaults\"),u=t(\"../cartesian/line_grid_defaults\"),f=t(\"./layout_attributes\"),h=[\"aaxis\",\"baxis\",\"caxis\"];function p(t,e,r,a){var o,s,l,c=r(\"bgcolor\"),u=r(\"sum\");a.bgColor=n.combine(c,a.paper_bgcolor);for(var f=0;f<h.length;f++)s=t[o=h[f]]||{},(l=i.newContainer(e,o))._name=o,d(s,l,a,e);var p=e.aaxis,m=e.baxis,g=e.caxis;p.min+m.min+g.min>=u&&(p.min=0,m.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function d(t,e,r,n){var i=f[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var h=o(\"color\"),p=h!==i.color.dflt?h:r.font.color,d=e._name.charAt(0).toUpperCase(),m=\"Component \"+d,g=o(\"title.text\",m);e._hovertitle=g===m?g:d,a.coerceFont(o,\"title.font\",{family:r.font.family,size:a.bigFont(r.font.size),color:p}),o(\"min\"),c(t,e,o,\"linear\"),s(t,e,o,\"linear\",{}),l(t,e,o,{outerTicks:!0}),o(\"showticklabels\")&&(a.coerceFont(o,\"tickfont\",{family:r.font.family,size:r.font.size,color:p}),o(\"tickangle\"),o(\"tickformat\")),u(t,e,o,{dfltColor:h,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o(\"hoverformat\"),o(\"layer\")}e.exports=function(t,e,r){o(t,e,r,{type:\"ternary\",attributes:f,handleDefaults:p,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{\"../../components/color\":662,\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../cartesian/line_grid_defaults\":866,\"../cartesian/tick_label_defaults\":871,\"../cartesian/tick_mark_defaults\":872,\"../cartesian/tick_value_defaults\":873,\"../subplot_defaults\":921,\"./layout_attributes\":924}],926:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strTranslate,l=o._,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,p=t(\"../plots\"),d=t(\"../cartesian/axes\"),m=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),v=t(\"../../components/dragelement/helpers\"),y=v.freeMode,x=v.rectMode,b=t(\"../../components/titles\"),_=t(\"../cartesian/select\").prepSelect,w=t(\"../cartesian/select\").selectOnClick,T=t(\"../cartesian/select\").clearSelect,k=t(\"../cartesian/select\").clearSelectionsCache,M=t(\"../cartesian/constants\");function A(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=A;var S=A.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),p.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(c.fill,r.bgcolor)},S.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var 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 M=p.yaxis.domain[0],A=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[M,M+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(A,p.graphDiv._fullLayout),A.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[M,M+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-A._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",A.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,A.linecolor||\"#000\").style(\"stroke-width\",(A.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C title\"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this.graphDiv,n=t._name,i=n.charAt(0),a=t._id,s=this.layers[n],l=i+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll(\".\"+a+\"tick\").remove(),this[l]=c),t.setScale();var u=d.calcTicks(t),f=d.clipEnds(t,u),h=d.makeTransTickFn(t),p=d.getTickSigns(t)[2],m=o.deg2rad(30),g=p*(t.linewidth||1)/2,v=p*t.ticklen,y=this.w,x=this.h,b=\"b\"===i?\"M0,\"+g+\"l\"+Math.sin(m)*v+\",\"+Math.cos(m)*v:\"M\"+g+\",0l\"+Math.cos(m)*v+\",\"+-Math.sin(m)*v,_={a:\"M0,0l\"+x+\",-\"+y/2,b:\"M0,0l-\"+y/2+\",-\"+x,c:\"M0,0l-\"+x+\",\"+y/2}[i];d.drawTicks(r,t,{vals:\"inside\"===t.ticks?f:u,layer:s,path:b,transFn:h,crisp:!1}),d.drawGrid(r,t,{vals:f,layer:this.layers[i+\"grid\"],path:_,transFn:h,crisp:!1}),d.drawLabels(r,t,{vals:u,layer:s,transFn:h,labelFns:d.makeLabelFns(t,0,30)})};var L=M.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,A=this,S=A.layers.plotbg.select(\"path\").node(),L=A.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[A.id+\".aaxis.min\"]=t.a,e[A.id+\".baxis.min\"]=t.b,e[A.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[A.xaxis],[A.yaxis],A.id,A.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,A.id)}function B(t,e){return 1-e/A.h}function N(t,e){return 1-(t+(A.h-e)/Math.sqrt(3))/A.w}function j(t,e){return(t-(A.h-e)/Math.sqrt(3))/A.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*A.w,g=(1-l/2-c)*A.w,y=(m+g)/2,x=g-m,_=(1-l)*A.h,w=_-x/E;x<M.MINZOOM?(p=f,T.attr(\"d\",v),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+c*h,c:f.c+u*h},T.attr(\"d\",v+\"M\"+m+\",\"+_+\"H\"+g+\"L\"+y+\",\"+w+\"L\"+m+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+m+\",\"+_+C+\"M\"+g+\",\"+_+P+\"M\"+y+\",\"+w+I)),b||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function q(t,e){var r=t/A.xaxis._m,n=e/A.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*A.yaxis._m,t=(f.c-p.c-f.b+p.b)*A.xaxis._m);var h=s(A.x0+t,A.y0+e);A.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);A.clipDefRelative.select(\"path\").attr(\"transform\",d),A.aaxis.range=[p.a,A.sum-p.b-p.c],A.baxis.range=[A.sum-p.a-p.c,p.b],A.caxis.range=[A.sum-p.a-p.b,p.c],A.drawAxes(!1),A._hasClipOnAxisFalse&&A.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,A),L.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:A.id,domain:L._fullLayout[A.id].domain,xaxis:A.xaxis,yaxis:A.yaxis},subplot:A.id,prepFn:function(a,l,u){A.dragOptions.xaxes=[A.xaxis],A.dragOptions.yaxes=[A.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var m=A.dragOptions.dragmode=L._fullLayout.dragmode;y(m)?A.dragOptions.minDrag=1:A.dragOptions.minDrag=void 0,\"zoom\"===m?(A.dragOptions.moveFn=U,A.dragOptions.clickFn=F,A.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var u=L._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],f={a:A.aaxis.range[0],b:A.baxis.range[1],c:A.caxis.range[1]},p=f,h=A.aaxis.range[1]-f.a,d=i(A.graphDiv._fullLayout[A.id].bgcolor).getLuminance(),v=\"M0,\"+A.h+\"L\"+A.w/2+\", 0L\"+A.w+\",\"+A.h+\"Z\",b=!1,T=D.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(A.x0,A.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",v),k=D.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(A.x0,A.y0)).style({fill:c.background,stroke:c.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),A.clearSelect(L)}(0,l,u)):\"pan\"===m?(A.dragOptions.moveFn=q,A.dragOptions.clickFn=F,A.dragOptions.doneFn=H,f={a:A.aaxis.range[0],b:A.baxis.range[1],c:A.caxis.range[1]},p=f,A.clearSelect(L)):(x(m)||y(m))&&_(a,l,u,A.dragOptions,m)}},S.onmousemove=function(t){g.hover(L,t,A.id),L._fullLayout._lasthover=S,L._fullLayout._hoversubplot=A.id},S.onmouseout=function(t){L._dragging||m.unhover(L,t)},m.init(this.dragOptions)}},{\"../../components/color\":662,\"../../components/dragelement\":681,\"../../components/dragelement/helpers\":680,\"../../components/drawing\":684,\"../../components/fx\":702,\"../../components/titles\":760,\"../../lib\":799,\"../../lib/extend\":789,\"../../registry\":927,\"../cartesian/axes\":849,\"../cartesian/constants\":856,\"../cartesian/select\":869,\"../cartesian/set_convert\":870,\"../plots\":913,\"@plotly/d3\":58,tinycolor2:594}],927:[function(t,e,r){\"use strict\";var n=t(\"./lib/loggers\"),i=t(\"./lib/noop\"),a=t(\"./lib/push_unique\"),o=t(\"./lib/is_plain_object\"),s=t(\"./lib/dom\").addStyleRule,l=t(\"./lib/extend\"),c=t(\"./plots/attributes\"),u=t(\"./plots/layout_attributes\"),f=l.extendFlat,h=l.extendDeepAll;function p(t){var e=t.name,i=t.categories,a=t.meta;if(r.modules[e])n.log(\"Type \"+e+\" already registered\");else{r.subplotsRegistry[t.basePlotModule.name]||function(t){var e=t.name;if(r.subplotsRegistry[e])return void n.log(\"Plot type \"+e+\" already registered.\");for(var i in v(t),r.subplotsRegistry[e]=t,r.componentsRegistry)b(i,t.name)}(t.basePlotModule);for(var o={},l=0;l<i.length;l++)o[i[l]]=!0,r.allCategories[i[l]]=!0;for(var c in r.modules[e]={_module:t,categories:o},a&&Object.keys(a).length&&(r.modules[e].meta=a),r.allTypes.push(e),r.componentsRegistry)y(c,e);t.layoutAttributes&&f(r.traceLayoutAttributes,t.layoutAttributes);var u=t.basePlotModule,h=u.name;if(\"mapbox\"===h){var p=u.constants.styleRules;for(var d in p)s(\".js-plotly-plot .plotly .mapboxgl-\"+d,p[d])}\"geo\"!==h&&\"mapbox\"!==h||void 0===typeof window||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var e=t.name;for(var n in r.componentsRegistry[e]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(r.layoutArrayContainers,e),v(t)),r.modules)y(e,n);for(var i in r.subplotsRegistry)b(e,i);for(var o in r.transformsRegistry)x(e,o);t.schema&&t.schema.layout&&h(u,t.schema.layout)}function m(t){if(\"string\"!=typeof t.name)throw new Error(\"Transform module *name* must be a string.\");var e=\"Transform module \"+t.name,i=\"function\"==typeof t.transform,a=\"function\"==typeof t.calcTransform;if(!i&&!a)throw new Error(e+\" is missing a *transform* or *calcTransform* method.\");for(var s in i&&a&&n.log([e+\" has both a *transform* and *calcTransform* methods.\",\"Please note that all *transform* methods are executed\",\"before all *calcTransform* methods.\"].join(\" \")),o(t.attributes)||n.log(e+\" registered without an *attributes* object.\"),\"function\"!=typeof t.supplyDefaults&&n.log(e+\" registered without a *supplyDefaults* method.\"),r.transformsRegistry[t.name]=t,r.componentsRegistry)x(s,t.name)}function g(t){var e=t.name,n=e.split(\"-\")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=r.localeRegistry,c=l[e];if(c||(l[e]=c={}),n!==e){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function v(t){if(t.layoutAttributes){var e=t.layoutAttributes._arrayAttrRegexps;if(e)for(var n=0;n<e.length;n++)a(r.layoutArrayRegexes,e[n])}}function y(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[e];i&&h(r.modules[e]._module.attributes,i)}}function x(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&h(r.transformsRegistry[e].attributes,i)}}function b(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.subplots){var i=r.subplotsRegistry[e],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var s=n.subplots[o];a&&s&&h(a,s)}}function _(t){return\"object\"==typeof t&&(t=t.type),t}r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.localeRegistry={},r.apiMethodRegistry={},r.collectableSubplotTypes=null,r.register=function(t){if(r.collectableSubplotTypes=null,!t)throw new Error(\"No argument passed to Plotly.register.\");t&&!Array.isArray(t)&&(t=[t]);for(var e=0;e<t.length;e++){var n=t[e];if(!n)throw new Error(\"Invalid module was attempted to be registered!\");switch(n.moduleType){case\"trace\":p(n);break;case\"transform\":m(n);break;case\"component\":d(n);break;case\"locale\":g(n);break;case\"apiMethod\":var i=n.name;r.apiMethodRegistry[i]=n.fn;break;default:throw new Error(\"Invalid module was attempted to be registered!\")}}},r.getModule=function(t){var e=r.modules[_(t)];return!!e&&e._module},r.traceIs=function(t,e){if(\"various\"===(t=_(t)))return!1;var i=r.modules[t];return i||(t&&n.log(\"Unrecognized trace type \"+t+\".\"),i=r.modules[c.type.dflt]),!!i.categories[e]},r.getTransformIndices=function(t,e){for(var r=[],n=t.transforms||[],i=0;i<n.length;i++)n[i].type===e&&r.push(i);return r},r.hasTransform=function(t,e){for(var r=t.transforms||[],n=0;n<r.length;n++)if(r[n].type===e)return!0;return!1},r.getComponentMethod=function(t,e){var n=r.componentsRegistry[t];return n&&n[e]||i},r.call=function(){var t=arguments[0],e=[].slice.call(arguments,1);return r.apiMethodRegistry[t].apply(null,e)}},{\"./lib/dom\":787,\"./lib/extend\":789,\"./lib/is_plain_object\":800,\"./lib/loggers\":803,\"./lib/noop\":808,\"./lib/push_unique\":814,\"./plots/attributes\":845,\"./plots/layout_attributes\":904}],928:[function(t,e,r){\"use strict\";var n=t(\"../registry\"),i=t(\"../lib\"),a=i.extendFlat,o=i.extendDeep;function s(t){var e;switch(t){case\"themes__thumb\":e={autosize:!0,width:150,height:150,title:{text:\"\"},showlegend:!1,margin:{l:5,r:5,t:5,b:5,pad:0},annotations:[]};break;case\"thumbnail\":e={title:{text:\"\"},hidesources:!0,showlegend:!1,borderwidth:0,bordercolor:\"\",margin:{l:1,r:1,t:1,b:1,pad:0},annotations:[]};break;default:e={}}return e}e.exports=function(t,e){var r,i,l=t.data,c=t.layout,u=o([],l),f=o({},c,s(e.tileClass)),h=t._context||{};if(e.width&&(f.width=e.width),e.height&&(f.height=e.height),\"thumbnail\"===e.tileClass||\"themes__thumb\"===e.tileClass){f.annotations=[];var p=Object.keys(f);for(r=0;r<p.length;r++)i=p[r],[\"xaxis\",\"yaxis\",\"zaxis\"].indexOf(i.slice(0,5))>-1&&(f[p[r]].title={text:\"\"});for(r=0;r<u.length;r++){var d=u[r];d.showscale=!1,d.marker&&(d.marker.showscale=!1),n.traceIs(d,\"pie-like\")&&(d.textposition=\"none\")}}if(Array.isArray(e.annotations))for(r=0;r<e.annotations.length;r++)f.annotations.push(e.annotations[r]);var m=Object.keys(f).filter((function(t){return t.match(/^scene\\d*$/)}));if(m.length){var g={};for(\"thumbnail\"===e.tileClass&&(g={title:{text:\"\"},showaxeslabels:!1,showticklabels:!1,linetickenable:!1}),r=0;r<m.length;r++){var v=f[m[r]];v.xaxis||(v.xaxis={}),v.yaxis||(v.yaxis={}),v.zaxis||(v.zaxis={}),a(v.xaxis,g),a(v.yaxis,g),a(v.zaxis,g),v._scene=null}}var y=document.createElement(\"div\");e.tileClass&&(y.className=e.tileClass);var x={gd:y,td:y,layout:f,data:u,config:{staticPlot:void 0===e.staticPlot||e.staticPlot,plotGlPixelRatio:void 0===e.plotGlPixelRatio?2:e.plotGlPixelRatio,displaylogo:e.displaylogo||!1,showLink:e.showLink||!1,showTips:e.showTips||!1,mapboxAccessToken:h.mapboxAccessToken}};return\"transparent\"!==e.setBackground&&(x.config.setBackground=e.setBackground||\"opaque\"),x.gd.defaultLayout=s(e.tileClass),x}},{\"../lib\":799,\"../registry\":927}],929:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../plot_api/to_image\"),a=t(\"./filesaver\"),o=t(\"./helpers\");e.exports=function(t,e){var r;return n.isPlainObject(t)||(r=n.getGraphDiv(t)),(e=e||{}).format=e.format||\"png\",e.width=e.width||null,e.height=e.height||null,e.imageDataOnly=!0,new Promise((function(s,l){r&&r._snapshotInProgress&&l(new Error(\"Snapshotting already in progress.\")),n.isIE()&&\"svg\"!==e.format&&l(new Error(o.MSG_IE_BAD_FORMAT)),r&&(r._snapshotInProgress=!0);var c=i(t,e),u=e.filename||t.fn||\"newplot\";u+=\".\"+e.format.replace(\"-\",\".\"),c.then((function(t){return r&&(r._snapshotInProgress=!1),a(t,u,e.format)})).then((function(t){s(t)})).catch((function(t){r&&(r._snapshotInProgress=!1),l(t)}))}))}},{\"../lib\":799,\"../plot_api/to_image\":841,\"./filesaver\":930,\"./helpers\":931}],930:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"./helpers\");e.exports=function(t,e,r){var a=document.createElement(\"a\"),o=\"download\"in a;return new Promise((function(s,l){var c,u;if(n.isSafari()){var f=\"svg\"===r?\",\":\";base64,\";return i.octetStream(f+encodeURIComponent(t)),s(e)}return n.isIE()?(c=i.createBlob(t,\"svg\"),window.navigator.msSaveBlob(c,e),c=null,s(e)):o?(c=i.createBlob(t,r),u=i.createObjectURL(c),a.href=u,a.download=e,document.body.appendChild(a),a.click(),document.body.removeChild(a),i.revokeObjectURL(u),c=null,s(e)):void l(new Error(\"download error\"))}))}},{\"../lib\":799,\"./helpers\":931}],931:[function(t,e,r){\"use strict\";var n=t(\"../registry\");r.getDelay=function(t){return t._has&&(t._has(\"gl3d\")||t._has(\"gl2d\")||t._has(\"mapbox\"))?500:0},r.getRedrawFunc=function(t){return function(){n.getComponentMethod(\"colorbar\",\"draw\")(t)}},r.encodeSVG=function(t){return\"data:image/svg+xml,\"+encodeURIComponent(t)},r.encodeJSON=function(t){return\"data:application/json,\"+encodeURIComponent(t)};var i=window.URL||window.webkitURL;r.createObjectURL=function(t){return i.createObjectURL(t)},r.revokeObjectURL=function(t){return i.revokeObjectURL(t)},r.createBlob=function(t,e){if(\"svg\"===e)return new window.Blob([t],{type:\"image/svg+xml;charset=utf-8\"});if(\"full-json\"===e)return new window.Blob([t],{type:\"application/json;charset=utf-8\"});var r=function(t){for(var e=t.length,r=new ArrayBuffer(e),n=new Uint8Array(r),i=0;i<e;i++)n[i]=t.charCodeAt(i);return r}(window.atob(t));return new window.Blob([r],{type:\"image/\"+e})},r.octetStream=function(t){document.location.href=\"data:application/octet-stream\"+t},r.IMAGE_URL_PREFIX=/^data:image\\/\\w+;base64,/,r.MSG_IE_BAD_FORMAT=\"Sorry IE does not support downloading from canvas. Try {format:'svg'} instead.\"},{\"../registry\":927}],932:[function(t,e,r){\"use strict\";var n=t(\"./helpers\"),i={getDelay:n.getDelay,getRedrawFunc:n.getRedrawFunc,clone:t(\"./cloneplot\"),toSVG:t(\"./tosvg\"),svgToImg:t(\"./svgtoimg\"),toImage:t(\"./toimage\"),downloadImage:t(\"./download\")};e.exports=i},{\"./cloneplot\":928,\"./download\":929,\"./helpers\":931,\"./svgtoimg\":933,\"./toimage\":934,\"./tosvg\":935}],933:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"events\").EventEmitter,a=t(\"./helpers\");e.exports=function(t){var e=t.emitter||new i,r=new Promise((function(i,o){var s=window.Image,l=t.svg,c=t.format||\"png\";if(n.isIE()&&\"svg\"!==c){var u=new Error(a.MSG_IE_BAD_FORMAT);return o(u),t.promise?r:e.emit(\"error\",u)}var f,h,p=t.canvas,d=t.scale||1,m=t.width||300,g=t.height||150,v=d*m,y=d*g,x=p.getContext(\"2d\"),b=new s;\"svg\"===c||n.isSafari()?h=a.encodeSVG(l):(f=a.createBlob(l,\"svg\"),h=a.createObjectURL(f)),p.width=v,p.height=y,b.onload=function(){var r;switch(f=null,a.revokeObjectURL(h),\"svg\"!==c&&x.drawImage(b,0,0,v,y),c){case\"jpeg\":r=p.toDataURL(\"image/jpeg\");break;case\"png\":r=p.toDataURL(\"image/png\");break;case\"webp\":r=p.toDataURL(\"image/webp\");break;case\"svg\":r=h;break;default:var n=\"Image format is not jpeg, png, svg or webp.\";if(o(new Error(n)),!t.promise)return e.emit(\"error\",n)}i(r),t.promise||e.emit(\"success\",r)},b.onerror=function(r){if(f=null,a.revokeObjectURL(h),o(r),!t.promise)return e.emit(\"error\",r)},b.src=h}));return t.promise?r:e}},{\"../lib\":799,\"./helpers\":931,events:116}],934:[function(t,e,r){\"use strict\";var n=t(\"events\").EventEmitter,i=t(\"../registry\"),a=t(\"../lib\"),o=t(\"./helpers\"),s=t(\"./cloneplot\"),l=t(\"./tosvg\"),c=t(\"./svgtoimg\");e.exports=function(t,e){var r=new n,u=s(t,{format:\"png\"}),f=u.gd;f.style.position=\"absolute\",f.style.left=\"-5000px\",document.body.appendChild(f);var h=o.getRedrawFunc(f);return i.call(\"_doPlot\",f,u.data,u.layout,u.config).then(h).then((function(){var t=o.getDelay(f._fullLayout);setTimeout((function(){var t=l(f),n=document.createElement(\"canvas\");n.id=a.randstr(),(r=c({format:e.format,width:f._fullLayout.width,height:f._fullLayout.height,canvas:n,emitter:r,svg:t})).clean=function(){f&&document.body.removeChild(f)}}),t)})).catch((function(t){r.emit(\"error\",t)})),r}},{\"../lib\":799,\"../registry\":927,\"./cloneplot\":928,\"./helpers\":931,\"./svgtoimg\":933,\"./tosvg\":935,events:116}],935:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../lib\"),a=t(\"../components/drawing\"),o=t(\"../components/color\"),s=t(\"../constants/xmlns_namespaces\"),l=/\"/g,c=new RegExp('(\"TOBESTRIPPED)|(TOBESTRIPPED\")',\"g\");e.exports=function(t,e,r){var u,f,h=t._fullLayout,p=h._paper,d=h._toppaper,m=h.width,g=h.height;p.insert(\"rect\",\":first-child\").call(a.setRect,0,0,m,g).call(o.fill,h.paper_bgcolor);var v=h._basePlotModules||[];for(u=0;u<v.length;u++){var y=v[u];y.toSVG&&y.toSVG(t)}if(d){var x=d.node().childNodes,b=Array.prototype.slice.call(x);for(u=0;u<b.length;u++){var _=b[u];_.childNodes.length&&p.node().appendChild(_)}}h._draggers&&h._draggers.remove(),p.node().style.background=\"\",p.selectAll(\"text\").attr({\"data-unformatted\":null,\"data-math\":null}).each((function(){var t=n.select(this);if(\"hidden\"!==this.style.visibility&&\"none\"!==this.style.display){t.style({visibility:null,display:null});var e=this.style.fontFamily;e&&-1!==e.indexOf('\"')&&t.style(\"font-family\",e.replace(l,\"TOBESTRIPPED\"))}else t.remove()}));var w=[];if(h._gradientUrlQueryParts)for(f in h._gradientUrlQueryParts)w.push(f);if(h._patternUrlQueryParts)for(f in h._patternUrlQueryParts)w.push(f);w.length&&p.selectAll(w.join(\",\")).each((function(){var t=n.select(this),e=this.style.fill;e&&-1!==e.indexOf(\"url(\")&&t.style(\"fill\",e.replace(l,\"TOBESTRIPPED\"));var r=this.style.stroke;r&&-1!==r.indexOf(\"url(\")&&t.style(\"stroke\",r.replace(l,\"TOBESTRIPPED\"))})),\"pdf\"!==e&&\"eps\"!==e||p.selectAll(\"#MathJax_SVG_glyphs path\").attr(\"stroke-width\",0),p.node().setAttributeNS(s.xmlns,\"xmlns\",s.svg),p.node().setAttributeNS(s.xmlns,\"xmlns:xlink\",s.xlink),\"svg\"===e&&r&&(p.attr(\"width\",r*m),p.attr(\"height\",r*g),p.attr(\"viewBox\",\"0 0 \"+m+\" \"+g));var T=(new window.XMLSerializer).serializeToString(p.node());return T=function(t){var e=n.select(\"body\").append(\"div\").style({display:\"none\"}).html(\"\"),r=t.replace(/(&[^;]*;)/gi,(function(t){return\"&lt;\"===t?\"&#60;\":\"&rt;\"===t?\"&#62;\":-1!==t.indexOf(\"<\")||-1!==t.indexOf(\">\")?\"\":e.html(t).text()}));return e.remove(),r}(T),T=(T=T.replace(/&(?!\\w+;|\\#[0-9]+;| \\#x[0-9A-F]+;)/g,\"&amp;\")).replace(c,\"'\"),i.isIE()&&(T=(T=(T=T.replace(/\"/gi,\"'\")).replace(/(\\('#)([^']*)('\\))/gi,'(\"#$2\")')).replace(/(\\\\')/gi,'\"')),T}},{\"../components/color\":662,\"../components/drawing\":684,\"../constants/xmlns_namespaces\":776,\"../lib\":799,\"@plotly/d3\":58}],936:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\");var i=e.marker;if(i){n.mergeArray(i.opacity,t,\"mo\",!0),n.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(n.mergeArray(a.color,t,\"mlc\"),n.mergeArrayCastPositive(a.width,t,\"mlw\"))}}},{\"../../lib\":799}],937:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../plots/font_attributes\"),c=t(\"./constants\"),u=t(\"../../components/drawing/attributes\").pattern,f=t(\"../../lib/extend\").extendFlat,h=l({editType:\"calc\",arrayOk:!0,colorEditType:\"style\"}),p=f({},n.marker.line.width,{dflt:0}),d=f({width:p,editType:\"calc\"},s(\"marker.line\")),m=f({line:d,editType:\"calc\"},s(\"marker\"),{opacity:{valType:\"number\",arrayOk:!0,dflt:1,min:0,max:1,editType:\"style\"},pattern:u});e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),text:n.text,texttemplate:o({editType:\"plot\"},{keys:c.eventDataKeys}),hovertext:n.hovertext,hovertemplate:a({},{keys:c.eventDataKeys}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"calc\"},insidetextanchor:{valType:\"enumerated\",values:[\"end\",\"middle\",\"start\"],dflt:\"end\",editType:\"plot\"},textangle:{valType:\"angle\",dflt:\"auto\",editType:\"plot\"},textfont:f({},h,{}),insidetextfont:f({},h,{}),outsidetextfont:f({},h,{}),constraintext:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"both\",\"none\"],dflt:\"both\",editType:\"calc\"},cliponaxis:f({},n.cliponaxis,{}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc+clearAxisTypes\"},base:{valType:\"any\",dflt:null,arrayOk:!0,editType:\"calc\"},offset:{valType:\"number\",dflt:null,arrayOk:!0,editType:\"calc\"},width:{valType:\"number\",dflt:null,min:0,arrayOk:!0,editType:\"calc\"},marker:m,offsetgroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},alignmentgroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},selected:{marker:{opacity:n.selected.marker.opacity,color:n.selected.marker.color,editType:\"style\"},textfont:n.selected.textfont,editType:\"style\"},unselected:{marker:{opacity:n.unselected.marker.opacity,color:n.unselected.marker.color,editType:\"style\"},textfont:n.unselected.textfont,editType:\"style\"},_deprecated:{bardir:{valType:\"enumerated\",editType:\"calc\",values:[\"v\",\"h\"]}}}},{\"../../components/colorscale/attributes\":669,\"../../components/drawing/attributes\":683,\"../../lib/extend\":789,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/font_attributes\":878,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214,\"./constants\":939}],938:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/cartesian/align_period\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,o=t(\"../../components/colorscale/calc\"),s=t(\"./arrays_to_calcdata\"),l=t(\"../scatter/calc_selection\");e.exports=function(t,e){var r,c,u,f,h=n.getFromId(t,e.xaxis||\"x\"),p=n.getFromId(t,e.yaxis||\"y\"),d={msUTC:!(!e.base&&0!==e.base)};\"h\"===e.orientation?(r=h.makeCalcdata(e,\"x\",d),u=p.makeCalcdata(e,\"y\"),c=i(e,p,\"y\",u),f=!!e.yperiodalignment):(r=p.makeCalcdata(e,\"y\",d),u=h.makeCalcdata(e,\"x\"),c=i(e,h,\"x\",u),f=!!e.xperiodalignment);for(var m=Math.min(c.length,r.length),g=new Array(m),v=0;v<m;v++)g[v]={p:c[v],s:r[v]},f&&(g[v].orig_p=u[v]),e.ids&&(g[v].id=String(e.ids[v]));return a(e,\"marker\")&&o(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),a(e,\"marker.line\")&&o(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),s(g,e),l(g,e),g}},{\"../../components/colorscale/calc\":670,\"../../components/colorscale/helpers\":673,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/axes\":849,\"../scatter/calc_selection\":1216,\"./arrays_to_calcdata\":936}],939:[function(t,e,r){\"use strict\";e.exports={TEXTPAD:3,eventDataKeys:[\"value\",\"label\"]}},{}],940:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../../plots/cartesian/constraints\").getAxisGroup,c=t(\"./sieve.js\");function u(t,e,r,o,u){if(o.length){var b,_,w,T;switch(function(t,e){var r,a;for(r=0;r<e.length;r++){var o,s=e[r],l=s[0].trace,c=\"funnel\"===l.type?l._base:l.base,u=\"h\"===l.orientation?l.xcalendar:l.ycalendar,f=\"category\"===t.type||\"multicategory\"===t.type?function(){return null}:t.d2c;if(i(c)){for(a=0;a<Math.min(c.length,s.length);a++)o=f(c[a],0,u),n(o)?(s[a].b=+o,s[a].hasB=1):s[a].b=0;for(;a<s.length;a++)s[a].b=0}else{o=f(c,0,u);var h=n(o);for(o=h?o:0,a=0;a<s.length;a++)s[a].b=o,h&&(s[a].hasB=1)}}}(r,o),u.mode){case\"overlay\":f(e,r,o,u);break;case\"group\":for(b=[],_=[],w=0;w<o.length;w++)void 0===(T=o[w])[0].trace.offset?_.push(T):b.push(T);_.length&&function(t,e,r,n,i){var o=new c(n,{posAxis:e,sepNegVal:!1,overlapNoMerge:!i.norm});(function(t,e,r,n){for(var i=t._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,c=r.traces,u=c.length,f=a.length!==o.length,h=s*(1-n.gap),g=l(i,e._id)+c[0][0].trace.orientation,v=i._alignmentOpts[g]||{},y=0;y<u;y++){var x,b,_=c[y],w=_[0].trace,T=v[w.alignmentgroup]||{},k=Object.keys(T.offsetGroups||{}).length,M=(x=k?h/k:f?h/u:h)*(1-(n.groupgap||0));b=k?((2*w._offsetIndex+1-k)*x-M)/2:f?((2*y+1-u)*x-M)/2:-M/2;var A=_[0].t;A.barwidth=M,A.poffset=b,A.bargroupwidth=h,A.bardelta=s}r.binWidth=c[0][0].t.barwidth/100,p(r),d(e,r),m(e,r,f)})(t,e,o,i),function(t,e){for(var r=t.traces,n=0;n<r.length;n++){var i=r[n];if(void 0===i[0].trace.base)for(var o=new c([i],{posAxis:e,sepNegVal:!0,overlapNoMerge:!0}),s=0;s<i.length;s++){var l=i[s];if(l.p!==a){var u=o.put(l.p,l.b+l.s);u&&(l.b=u)}}}}(o,e),i.norm?(v(o),y(r,o,i)):g(r,o)}(t,e,r,_,u),b.length&&f(e,r,b,u);break;case\"stack\":case\"relative\":for(b=[],_=[],w=0;w<o.length;w++)void 0===(T=o[w])[0].trace.base?_.push(T):b.push(T);_.length&&function(t,e,r,n,i){var o=new c(n,{posAxis:e,sepNegVal:\"relative\"===i.mode,overlapNoMerge:!(i.norm||\"stack\"===i.mode||\"relative\"===i.mode)});h(e,o,i),function(t,e,r){var n,i,o,l,c,u,f=x(t),h=e.traces;for(l=0;l<h.length;l++)if(n=h[l],\"funnel\"===(i=n[0].trace).type)for(c=0;c<n.length;c++)(u=n[c]).s!==a&&e.put(u.p,-.5*u.s);for(l=0;l<h.length;l++){n=h[l],i=n[0].trace,o=\"funnel\"===i.type;var p=[];for(c=0;c<n.length;c++)if((u=n[c]).s!==a){var d;d=o?u.s:u.s+u.b;var m=e.put(u.p,d),g=m+d;u.b=m,u[f]=g,r.norm||(p.push(g),u.hasB&&p.push(m))}r.norm||(i._extremes[t._id]=s.findExtremes(t,p,{tozero:!0,padded:!0}))}}(r,o,i);for(var l=0;l<n.length;l++)for(var u=n[l],f=0;f<u.length;f++){var p=u[f];if(p.s!==a)p.b+p.s===o.get(p.p,p.s)&&(p._outmost=!0)}i.norm&&y(r,o,i)}(0,e,r,_,u),b.length&&f(e,r,b,u)}!function(t,e){var r,i,a,o=x(e),s={},l=1/0,c=-1/0;for(r=0;r<t.length;r++)for(a=t[r],i=0;i<a.length;i++){var u=a[i].p;n(u)&&(l=Math.min(l,u),c=Math.max(c,u))}var f=1e4/(c-l),h=s.round=function(t){return String(Math.round(f*(t-l)))};for(r=0;r<t.length;r++){(a=t[r])[0].t.extents=s;var p=a[0].t.poffset,d=Array.isArray(p);for(i=0;i<a.length;i++){var m=a[i],g=m[o]-m.w/2;if(n(g)){var v=m[o]+m.w/2,y=h(m.p);s[y]?s[y]=[Math.min(g,s[y][0]),Math.max(v,s[y][1])]:s[y]=[g,v]}m.p0=m.p+(d?p[i]:p),m.p1=m.p0+m.w,m.s0=m.b,m.s1=m.s0+m.s}}}(o,e)}}function f(t,e,r,n){for(var i=0;i<r.length;i++){var a=r[i],o=new c([a],{posAxis:t,sepNegVal:!1,overlapNoMerge:!n.norm});h(t,o,n),n.norm?(v(o),y(e,o,n)):g(e,o)}}function h(t,e,r){for(var n=e.minDiff,i=e.traces,a=n*(1-r.gap),o=a*(1-(r.groupgap||0)),s=-o/2,l=0;l<i.length;l++){var c=i[l][0].t;c.barwidth=o,c.poffset=s,c.bargroupwidth=a,c.bardelta=n}e.binWidth=i[0][0].t.barwidth/100,p(e),d(t,e),m(t,e)}function p(t){var e,r,a=t.traces;for(e=0;e<a.length;e++){var o,s=a[e],l=s[0],c=l.trace,u=l.t,f=c._offset||c.offset,h=u.poffset;if(i(f)){for(o=Array.prototype.slice.call(f,0,s.length),r=0;r<o.length;r++)n(o[r])||(o[r]=h);for(r=o.length;r<s.length;r++)o.push(h);u.poffset=o}else void 0!==f&&(u.poffset=f);var p=c._width||c.width,d=u.barwidth;if(i(p)){var m=Array.prototype.slice.call(p,0,s.length);for(r=0;r<m.length;r++)n(m[r])||(m[r]=d);for(r=m.length;r<s.length;r++)m.push(d);if(u.barwidth=m,void 0===f){for(o=[],r=0;r<s.length;r++)o.push(h+(d-m[r])/2);u.poffset=o}}else void 0!==p&&(u.barwidth=p,void 0===f&&(u.poffset=h+(d-p)/2))}}function d(t,e){for(var r=e.traces,n=x(t),i=0;i<r.length;i++)for(var a=r[i],o=a[0].t,s=o.poffset,l=Array.isArray(s),c=o.barwidth,u=Array.isArray(c),f=0;f<a.length;f++){var h=a[f],p=h.w=u?c[f]:c;h[n]=h.p+(l?s[f]:s)+p/2}}function m(t,e,r){var n=e.traces,i=e.minDiff/2;s.minDtick(t,e.minDiff,e.distinctPositions[0],r);for(var a=0;a<n.length;a++){var o,l,c,u,f=n[a],h=f[0],p=h.trace,d=[];for(u=0;u<f.length;u++)l=(o=f[u]).p-i,c=o.p+i,d.push(l,c);if(p.width||p.offset){var m=h.t,g=m.poffset,v=m.barwidth,y=Array.isArray(g),x=Array.isArray(v);for(u=0;u<f.length;u++){o=f[u];var b=y?g[u]:g,_=x?v[u]:v;c=(l=o.p+b)+_,d.push(l,c)}}p._extremes[t._id]=s.findExtremes(t,d,{padded:!1})}}function g(t,e){for(var r=e.traces,n=x(t),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,l=[],c=!1,u=0;u<a.length;u++){var f=a[u],h=f.b,p=h+f.s;f[n]=p,l.push(p),f.hasB&&l.push(h),f.hasB&&f.b||(c=!0)}o._extremes[t._id]=s.findExtremes(t,l,{tozero:c,padded:!0})}}function v(t){for(var e=t.traces,r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var o=n[i];o.s!==a&&t.put(o.p,o.b+o.s)}}function y(t,e,r){var i=e.traces,o=x(t),l=\"fraction\"===r.norm?1:100,c=l/1e9,u=t.l2c(t.c2l(0)),f=\"stack\"===r.mode?l:u;function h(e){return n(t.c2l(e))&&(e<u-c||e>f+c||!n(u))}for(var p=0;p<i.length;p++){for(var d=i[p],m=d[0].trace,g=[],v=!1,y=!1,b=0;b<d.length;b++){var _=d[b];if(_.s!==a){var w=Math.abs(l/e.get(_.p,_.s));_.b*=w,_.s*=w;var T=_.b,k=T+_.s;_[o]=k,g.push(k),y=y||h(k),_.hasB&&(g.push(T),y=y||h(T)),_.hasB&&_.b||(v=!0)}}m._extremes[t._id]=s.findExtremes(t,g,{tozero:v,padded:y})}}function x(t){return t._id.charAt(0)}e.exports={crossTraceCalc:function(t,e){for(var r=e.xaxis,n=e.yaxis,i=t._fullLayout,a=t._fullData,s=t.calcdata,l=[],c=[],f=0;f<a.length;f++){var h=a[f];if(!0===h.visible&&o.traceIs(h,\"bar\")&&h.xaxis===r._id&&h.yaxis===n._id&&(\"h\"===h.orientation?l.push(s[f]):c.push(s[f]),h._computePh))for(var p=t.calcdata[f],d=0;d<p.length;d++)\"function\"==typeof p[d].ph0&&(p[d].ph0=p[d].ph0()),\"function\"==typeof p[d].ph1&&(p[d].ph1=p[d].ph1())}var m={xCat:\"category\"===r.type||\"multicategory\"===r.type,yCat:\"category\"===n.type||\"multicategory\"===n.type,mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};u(t,r,n,c,m),u(t,n,r,l,m)},setGroupPositions:u}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../../plots/cartesian/constraints\":857,\"../../registry\":927,\"./sieve.js\":950,\"fast-isnumeric\":245}],941:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../registry\"),o=t(\"../scatter/xy_defaults\"),s=t(\"../scatter/period_defaults\"),l=t(\"./style_defaults\"),c=t(\"../../plots/cartesian/constraints\").getAxisGroup,u=t(\"./attributes\"),f=n.coerceFont;function h(t,e,r,n){var i=e.orientation,a=e[{v:\"x\",h:\"y\"}[i]+\"axis\"],o=c(r,a)+i,s=r._alignmentOpts||{},l=n(\"alignmentgroup\"),u=s[o];u||(u=s[o]={});var f=u[l];f?f.traces.push(e):f=u[l]={traces:[e],alignmentIndex:Object.keys(u).length,offsetGroups:{}};var h=n(\"offsetgroup\"),p=f.offsetGroups,d=p[h];h&&(d||(d=p[h]={offsetIndex:Object.keys(p).length}),e._offsetIndex=d.offsetIndex)}function p(t,e,r,i,a,o){var s=!(!1===(o=o||{}).moduleHasSelected),l=!(!1===o.moduleHasUnselected),c=!(!1===o.moduleHasConstrain),u=!(!1===o.moduleHasCliponaxis),h=!(!1===o.moduleHasTextangle),p=!(!1===o.moduleHasInsideanchor),d=!!o.hasPathbar,m=Array.isArray(a)||\"auto\"===a,g=m||\"inside\"===a,v=m||\"outside\"===a;if(g||v){var y=f(i,\"textfont\",r.font),x=n.extendFlat({},y),b=!(t.textfont&&t.textfont.color);if(b&&delete x.color,f(i,\"insidetextfont\",x),d){var _=n.extendFlat({},y);b&&delete _.color,f(i,\"pathbar.textfont\",_)}v&&f(i,\"outsidetextfont\",y),s&&i(\"selected.textfont.color\"),l&&i(\"unselected.textfont.color\"),c&&i(\"constraintext\"),u&&i(\"cliponaxis\"),h&&i(\"textangle\"),i(\"texttemplate\")}g&&p&&i(\"insidetextanchor\")}e.exports={supplyDefaults:function(t,e,r,c){function f(r,i){return n.coerce(t,e,u,r,i)}if(o(t,e,c,f)){s(t,e,c,f),f(\"xhoverformat\"),f(\"yhoverformat\"),f(\"orientation\",e.x&&!e.y?\"h\":\"v\"),f(\"base\"),f(\"offset\"),f(\"width\"),f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\");var h=f(\"textposition\");p(t,e,c,f,h,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),l(t,e,f,r,c);var d=(e.marker.line||{}).color,m=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");m(t,e,d||i.defaultLine,{axis:\"y\"}),m(t,e,d||i.defaultLine,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1},crossTraceDefaults:function(t,e){var r;function i(t){return n.coerce(r._input,r,u,t)}if(\"group\"===e.barmode)for(var a=0;a<t.length;a++)\"bar\"===(r=t[a]).type&&(r._input,h(0,r,e,i))},handleGroupingDefaults:h,handleText:p}},{\"../../components/color\":662,\"../../lib\":799,\"../../plots/cartesian/constraints\":857,\"../../registry\":927,\"../scatter/period_defaults\":1234,\"../scatter/xy_defaults\":1241,\"./attributes\":937,\"./style_defaults\":952}],942:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return t.x=\"xVal\"in e?e.xVal:e.x,t.y=\"yVal\"in e?e.yVal:e.y,e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),\"h\"===r.orientation?(t.label=t.y,t.value=t.x):(t.label=t.x,t.value=t.y),t}},{}],943:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../lib\").isArrayOrTypedArray;r.coerceString=function(t,e,r){if(\"string\"==typeof e){if(e||!t.noBlank)return e}else if((\"number\"==typeof e||!0===e)&&!t.strict)return String(e);return void 0!==r?r:t.dflt},r.coerceNumber=function(t,e,r){if(n(e)){e=+e;var i=t.min,a=t.max;if(!(void 0!==i&&e<i||void 0!==a&&e>a))return e}return void 0!==r?r:t.dflt},r.coerceColor=function(t,e,r){return i(e).isValid()?e:void 0!==r?r:t.dflt},r.coerceEnumerated=function(t,e,r){return t.coerceNumber&&(e=+e),-1!==t.values.indexOf(e)?e:void 0!==r?r:t.dflt},r.getValue=function(t,e){var r;return Array.isArray(t)?e<t.length&&(r=t[e]):r=t,r},r.getLineWidth=function(t,e){return 0<e.mlw?e.mlw:a(t.marker.line.width)?0:t.marker.line.width}},{\"../../lib\":799,\"fast-isnumeric\":245,tinycolor2:594}],944:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../registry\"),a=t(\"../../components/color\"),o=t(\"../../lib\").fillText,s=t(\"./helpers\").getLineWidth,l=t(\"../../plots/cartesian/axes\").hoverLabelText,c=t(\"../../constants/numerical\").BADNUM;function u(t,e,r,i,a){var s,u,f,h,p,d,m,g=t.cd,v=g[0].trace,y=g[0].t,x=\"closest\"===i,b=\"waterfall\"===v.type,_=t.maxHoverDistance,w=t.maxSpikeDistance;\"h\"===v.orientation?(s=r,u=e,f=\"y\",h=\"x\",p=I,d=C):(s=e,u=r,f=\"x\",h=\"y\",d=I,p=C);var T=v[f+\"period\"];function k(t){return A(t,-1)}function M(t){return A(t,1)}function A(t,e){return T?t.p+e*Math.abs(t.p-t.orig_p):t[f]+e*t.w/2}var S=x||T?k:function(t){return Math.min(k(t),t.p-y.bardelta/2)},E=x||T?M:function(t){return Math.max(M(t),t.p+y.bardelta/2)};function L(t,e,r){return a.finiteRange&&(r=0),n.inbox(t-s,e-s,r+Math.min(1,Math.abs(e-t)/m)-1)}function C(t){return L(S(t),E(t),_)}function P(t){var e=t[h];if(b){var r=Math.abs(t.rawS)||0;u>0?e+=r:u<0&&(e-=r)}return e}function I(t){var e=u,r=t.b,i=P(t);return n.inbox(r-e,i-e,_+(i-e)/(i-r)-1)}var O=t[f+\"a\"],z=t[h+\"a\"];m=Math.abs(O.r2c(O.range[1])-O.r2c(O.range[0]));var D=n.getDistanceFunction(i,p,d,(function(t){return(p(t)+d(t))/2}));if(n.getClosest(g,D,t),!1!==t.index&&g[t.index].p!==c){x||(S=function(t){return Math.min(k(t),t.p-y.bargroupwidth/2)},E=function(t){return Math.max(M(t),t.p+y.bargroupwidth/2)});var R=g[t.index],F=v.base?R.b+R.s:R.s;t[h+\"0\"]=t[h+\"1\"]=z.c2p(R[h],!0),t[h+\"LabelVal\"]=F;var B=y.extents[y.extents.round(R.p)];t[f+\"0\"]=O.c2p(x?S(R):B[0],!0),t[f+\"1\"]=O.c2p(x?E(R):B[1],!0);var N=void 0!==R.orig_p;return t[f+\"LabelVal\"]=N?R.orig_p:R.p,t.labelLabel=l(O,t[f+\"LabelVal\"],v[f+\"hoverformat\"]),t.valueLabel=l(z,t[h+\"LabelVal\"],v[h+\"hoverformat\"]),t.baseLabel=l(z,R.b,v[h+\"hoverformat\"]),t.spikeDistance=(function(t){var e=u,r=t.b,i=P(t);return n.inbox(r-e,i-e,w+(i-e)/(i-r)-1)}(R)+function(t){return L(k(t),M(t),w)}(R))/2,t[f+\"Spike\"]=O.c2p(R.p,!0),o(R,v,t),t.hovertemplate=v.hovertemplate,t}}function f(t,e){var r=e.mcc||t.marker.color,n=e.mlcc||t.marker.line.color,i=s(t,e);return a.opacity(r)?r:a.opacity(n)&&i?n:void 0}e.exports={hoverPoints:function(t,e,r,n,a){var o=u(t,e,r,n,a);if(o){var s=o.cd,l=s[0].trace,c=s[o.index];return o.color=f(l,c),i.getComponentMethod(\"errorbars\",\"hoverInfo\")(c,l,o),[o]}},hoverOnBars:u,getTraceColor:f}},{\"../../components/color\":662,\"../../components/fx\":702,\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"./helpers\":943}],945:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,crossTraceDefaults:t(\"./defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\").crossTraceCalc,colorbar:t(\"../scatter/marker_colorbar\"),arraysToCalcdata:t(\"./arrays_to_calcdata\"),plot:t(\"./plot\").plot,style:t(\"./style\").style,styleOnSelect:t(\"./style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),moduleType:\"trace\",name:\"bar\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"bar-like\",\"cartesian\",\"svg\",\"bar\",\"oriented\",\"errorBarsOK\",\"showLegend\",\"zoomScale\"],animatable:!0,meta:{}}},{\"../../plots/cartesian\":863,\"../scatter/marker_colorbar\":1232,\"./arrays_to_calcdata\":936,\"./attributes\":937,\"./calc\":938,\"./cross_trace_calc\":940,\"./defaults\":941,\"./event_data\":942,\"./hover\":944,\"./layout_attributes\":946,\"./layout_defaults\":947,\"./plot\":948,\"./select\":949,\"./style\":951}],946:[function(t,e,r){\"use strict\";e.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"}}},{}],947:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../lib\"),o=t(\"./layout_attributes\");e.exports=function(t,e,r){function s(r,n){return a.coerce(t,e,o,r,n)}for(var l=!1,c=!1,u=!1,f={},h=s(\"barmode\"),p=0;p<r.length;p++){var d=r[p];if(n.traceIs(d,\"bar\")&&d.visible){if(l=!0,\"group\"===h){var m=d.xaxis+d.yaxis;f[m]&&(u=!0),f[m]=!0}if(d.visible&&\"histogram\"===d.type)\"category\"!==i.getFromId({_fullLayout:e},d[\"v\"===d.orientation?\"xaxis\":\"yaxis\"]).type&&(c=!0)}}l?(\"overlay\"!==h&&s(\"barnorm\"),s(\"bargap\",c&&!u?0:.2),s(\"bargroupgap\")):delete e.barmode}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"./layout_attributes\":946}],948:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../../registry\"),u=t(\"../../plots/cartesian/axes\").tickText,f=t(\"./uniform_text\"),h=f.recordMinTextSize,p=f.clearMinTextSize,d=t(\"./style\"),m=t(\"./helpers\"),g=t(\"./constants\"),v=t(\"./attributes\"),y=v.text,x=v.textposition,b=t(\"../../components/fx/helpers\").appendArrayPointValue,_=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t,e){return t<e?1:-1}function M(t,e,r,n){var i;return!e.uniformtext.mode&&A(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){i&&i()})).each(\"interrupt\",(function(){i&&i()}))):t}function A(t){return t&&t.duration>0}function S(t){return\"auto\"===t?0:t}function E(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function L(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor||\"end\",u=\"end\"===c,f=\"start\"===c,h=((a.leftToRight||0)+1)/2,p=1-h,d=i.width,m=i.height,g=Math.abs(e-t),v=Math.abs(n-r),y=g>2*_&&v>2*_?_:0;g-=2*y,v-=2*y;var x=S(l);\"auto\"!==l||d<=g&&m<=v||!(d>g||m>v)||(d>v||m>g)&&d<m==g<v||(x+=90);var b=E(i,x),w=1;s&&(w=Math.min(1,g/b.x,v/b.y));var T=i.left*p+i.right*h,M=(i.top+i.bottom)/2,A=(t+_)*p+(e-_)*h,L=(r+n)/2,C=0,P=0;if(f||u){var I=(o?b.x:b.y)/2,O=o?k(t,e):k(r,n);o?f?(A=t+O*y,C=-O*I):(A=e-O*y,C=O*I):f?(L=r+O*y,P=-O*I):(L=n-O*y,P=O*I)}return{textX:T,textY:M,targetX:A,targetY:L,anchorX:C,anchorY:P,scale:w,rotate:x}}e.exports={plot:function(t,e,r,f,g,v){var w=e.xaxis,C=e.yaxis,P=t._fullLayout;g||(g={mode:P.barmode,norm:P.barmode,gap:P.bargap,groupgap:P.bargroupgap},p(\"bar\",P));var I=a.makeTraceGroups(f,r,\"trace bars\").each((function(r){var c=n.select(this),f=r[0].trace,p=\"waterfall\"===f.type,I=\"funnel\"===f.type,O=\"bar\"===f.type||I,z=0;p&&f.connector.visible&&\"between\"===f.connector.mode&&(z=f.connector.line.width/2);var D=\"h\"===f.orientation,R=A(g),F=a.ensureSingle(c,\"g\",\"points\"),B=T(f),N=F.selectAll(\"g.point\").data(a.identity,B);N.enter().append(\"g\").classed(\"point\",!0),N.exit().remove(),N.each((function(c,p){var T,A,I=n.select(this),F=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),n?[i,a]:[a,i]}(c,w,C,D),B=F[0][0],N=F[0][1],j=F[1][0],U=F[1][1],V=0==(D?N-B:U-j);if(V&&O&&m.getLineWidth(f,c)&&(V=!1),V||(V=!(i(B)&&i(N)&&i(j)&&i(U))),c.isBlank=V,V&&(D?N=B:U=j),z&&!V&&(D?(B-=k(B,N)*z,N+=k(B,N)*z):(j-=k(j,U)*z,U+=k(j,U)*z)),\"waterfall\"===f.type){if(!V){var q=f[c.dir].marker;T=q.line.width,A=q.color}}else T=m.getLineWidth(f,c),A=c.mc||f.marker.color;function H(t){var e=n.round(T/2%1,2);return 0===g.gap&&0===g.groupgap?n.round(Math.round(t)-e,2):t}if(!t._context.staticPlot){var G=s.opacity(A)<1||T>.01?H:function(t,e,r){return r&&t===e?t:Math.abs(t-e)>=2?H(t):t>e?Math.ceil(t):Math.floor(t)};B=G(B,N,D),N=G(N,B,D),j=G(j,U,!D),U=G(U,j,!D)}var Y=M(a.ensureSingle(I,\"path\"),P,g,v);if(Y.style(\"vector-effect\",\"non-scaling-stroke\").attr(\"d\",isNaN((N-B)*(U-j))||V&&t._context.staticPlot?\"M0,0Z\":\"M\"+B+\",\"+j+\"V\"+U+\"H\"+N+\"V\"+j+\"Z\").call(l.setClipUrl,e.layerClipId,t),!P.uniformtext.mode&&R){var W=l.makePointStyleFns(f);l.singlePointStyle(c,Y,f,W,t)}!function(t,e,r,n,i,s,c,f,p,g,v){var w,T=e.xaxis,A=e.yaxis,C=t._fullLayout;function P(e,r,n){return a.ensureSingle(e,\"text\").text(r).attr({class:\"bartext bartext-\"+w,\"text-anchor\":\"middle\",\"data-notex\":1}).call(l.font,n).call(o.convertToTspans,t)}var I=n[0].trace,O=\"h\"===I.orientation,z=function(t,e,r,n,i){var o,s=e[0].trace;o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,\"texttemplate\");if(!s)return\"\";var l,c,f,h,p=\"waterfall\"===o.type,d=\"funnel\"===o.type;\"h\"===o.orientation?(l=\"y\",c=i,f=\"x\",h=n):(l=\"x\",c=n,f=\"y\",h=i);function m(t){return u(h,h.c2l(t),!0).text}var g=e[r],v={};v.label=g.p,v.labelLabel=v[l+\"Label\"]=(y=g.p,u(c,c.c2l(y),!0).text);var y;var x=a.castOption(o,g.i,\"text\");(0===x||x)&&(v.text=x);v.value=g.s,v.valueLabel=v[f+\"Label\"]=m(g.s);var _={};b(_,o,g.i),p&&(v.delta=+g.rawS||g.s,v.deltaLabel=m(v.delta),v.final=g.v,v.finalLabel=m(v.final),v.initial=v.final-v.delta,v.initialLabel=m(v.initial));d&&(v.value=g.s,v.valueLabel=m(v.value),v.percentInitial=g.begR,v.percentInitialLabel=a.formatPercent(g.begR),v.percentPrevious=g.difR,v.percentPreviousLabel=a.formatPercent(g.difR),v.percentTotal=g.sumR,v.percenTotalLabel=a.formatPercent(g.sumR));var w=a.castOption(o,g.i,\"customdata\");w&&(v.customdata=w);return a.texttemplateString(s,v,t._d3locale,_,v,o._meta||{})}(t,e,r,n,i):s.textinfo?function(t,e,r,n){var i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function c(t){return u(o?r:n,+t,!0).text}var f,h=i.textinfo,p=t[e],d=h.split(\"+\"),m=[],g=function(t){return-1!==d.indexOf(t)};g(\"label\")&&m.push((v=t[e].p,u(o?n:r,v,!0).text));var v;g(\"text\")&&(0===(f=a.castOption(i,p.i,\"text\"))||f)&&m.push(f);if(s){var y=+p.rawS||p.s,x=p.v,b=x-y;g(\"initial\")&&m.push(c(b)),g(\"delta\")&&m.push(c(y)),g(\"final\")&&m.push(c(x))}if(l){g(\"value\")&&m.push(c(p.s));var _=0;g(\"percent initial\")&&_++,g(\"percent previous\")&&_++,g(\"percent total\")&&_++;var w=_>1;g(\"percent initial\")&&(f=a.formatPercent(p.begR),w&&(f+=\" of initial\"),m.push(f)),g(\"percent previous\")&&(f=a.formatPercent(p.difR),w&&(f+=\" of previous\"),m.push(f)),g(\"percent total\")&&(f=a.formatPercent(p.sumR),w&&(f+=\" of total\"),m.push(f))}return m.join(\"<br>\")}(e,r,n,i):m.getValue(s.text,r);return m.coerceString(y,o)}(C,n,i,T,A);w=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(I,i);var D=\"stack\"===g.mode||\"relative\"===g.mode,R=n[i],F=!D||R._outmost;if(!z||\"none\"===w||(R.isBlank||s===c||f===p)&&(\"auto\"===w||\"inside\"===w))return void r.select(\"text\").remove();var B=C.font,N=d.getBarColor(n[i],I),j=d.getInsideTextFont(I,i,B,N),U=d.getOutsideTextFont(I,i,B),V=r.datum();O?\"log\"===T.type&&V.s0<=0&&(s=T.range[0]<T.range[1]?0:T._length):\"log\"===A.type&&V.s0<=0&&(f=A.range[0]<A.range[1]?A._length:0);var q,H,G,Y,W,X=Math.abs(c-s)-2*_,Z=Math.abs(p-f)-2*_;\"outside\"===w&&(F||R.hasB||(w=\"inside\"));if(\"auto\"===w)if(F){w=\"inside\",W=a.ensureUniformFontSize(t,j),q=P(r,z,W),H=l.bBox(q.node()),G=H.width,Y=H.height;var J=G<=X&&Y<=Z,K=G<=Z&&Y<=X,Q=O?X>=G*(Z/Y):Z>=Y*(X/G);G>0&&Y>0&&(J||K||Q)?w=\"inside\":(w=\"outside\",q.remove(),q=null)}else w=\"inside\";if(!q){W=a.ensureUniformFontSize(t,\"outside\"===w?U:j);var $=(q=P(r,z,W)).attr(\"transform\");if(q.attr(\"transform\",\"\"),H=l.bBox(q.node()),G=H.width,Y=H.height,q.attr(\"transform\",$),G<=0||Y<=0)return void q.remove()}var tt,et,rt=I.textangle;\"outside\"===w?(et=\"both\"===I.constraintext||\"outside\"===I.constraintext,tt=function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/u));var m=S(c),g=E(i,m),v=(s?g.x:g.y)/2,y=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,M=0,A=s?k(e,t):k(r,n);s?(b=e-A*o,T=A*v):(w=n+A*o,M=-A*v);return{textX:y,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:M,scale:d,rotate:m}}(s,c,f,p,H,{isHorizontal:O,constrained:et,angle:rt})):(et=\"both\"===I.constraintext||\"inside\"===I.constraintext,tt=L(s,c,f,p,H,{isHorizontal:O,constrained:et,angle:rt,anchor:I.insidetextanchor}));tt.fontSize=W.size,h(I.type,tt,C),R.transform=tt,M(q,C,g,v).attr(\"transform\",a.getTextTransform(tt))}(t,e,I,r,p,B,N,j,U,g,v),e.layerClipId&&l.hideOutsideRangePoint(c,I.select(\"text\"),w,C,f.xcalendar,f.ycalendar)}));var j=!1===f.cliponaxis;l.setClipUrl(c,j?null:e.layerClipId,t)}));c.getComponentMethod(\"errorbars\",\"plot\")(t,I,e,g)},toMoveInsideBar:L}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../../components/fx/helpers\":698,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"./attributes\":937,\"./constants\":939,\"./helpers\":943,\"./style\":951,\"./uniform_text\":953,\"@plotly/d3\":58,\"fast-isnumeric\":245}],949:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}e.exports=function(t,e){var r,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,c=\"h\"===s.orientation,u=[];if(!1===e)for(r=0;r<i.length;r++)i[r].selected=0;else for(r=0;r<i.length;r++){var f=i[r],h=\"ct\"in f?f.ct:n(f,a,o,c,l);e.contains(h,!1,r,t)?(u.push({pointNumber:r,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return u}},{}],950:[function(t,e,r){\"use strict\";e.exports=a;var n=t(\"../../lib\").distinctVals,i=t(\"../../constants/numerical\").BADNUM;function a(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l];c.p!==i&&a.push(c.p)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var u=n(a);this.distinctPositions=u.vals,1===u.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(u.minDiff,r);var f=(e.posAxis||{}).type;\"category\"!==f&&\"multicategory\"!==f||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}a.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},a.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},a.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},{\"../../constants/numerical\":775,\"../../lib\":799}],951:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../components/drawing\"),o=t(\"../../lib\"),s=t(\"../../registry\"),l=t(\"./uniform_text\").resizeText,c=t(\"./attributes\"),u=c.textfont,f=c.insidetextfont,h=c.outsidetextfont,p=t(\"./helpers\");function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),m(t,e,r)}function m(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed(\"bartext-inside\")){var o=_(e,r);a=y(r,e.i,i,o)}else t.classed(\"bartext-outside\")&&(a=x(r,e.i,i));return a}function v(t,e,r){return b(u,t.textfont,e,r)}function y(t,e,r,n){var a=v(t,e,r);return(void 0===t._input.textfont||void 0===t._input.textfont.color||Array.isArray(t.textfont.color)&&void 0===t.textfont.color[e])&&(a={color:i.contrast(n),family:a.family,size:a.size}),b(f,t.insidetextfont,e,a)}function x(t,e,r){var n=v(t,e,r);return b(h,t.outsidetextfont,e,n)}function b(t,e,r,n){e=e||{};var i=p.getValue(e.family,r),a=p.getValue(e.size,r),o=p.getValue(e.color,r);return{family:p.coerceString(t.family,i,n.family),size:p.coerceNumber(t.size,a,n.size),color:p.coerceColor(t.color,o,n.color)}}function _(t,e){return\"waterfall\"===e.type?e[t.dir].marker.color:t.mcc||t.mc||e.marker.color}e.exports={style:function(t){var e=n.select(t).selectAll(\"g.barlayer\").selectAll(\"g.trace\");l(t,e,\"bar\");var r=e.size(),i=t._fullLayout;e.style(\"opacity\",(function(t){return t[0].trace.opacity})).each((function(t){(\"stack\"===i.barmode&&r>1||0===i.bargap&&0===i.bargroupgap&&!t[0].trace.marker.line.width)&&n.select(this).attr(\"shape-rendering\",\"crispEdges\")})),e.selectAll(\"g.points\").each((function(e){d(n.select(this),e[0].trace,t)})),s.getComponentMethod(\"errorbars\",\"style\")(e)},styleTextPoints:m,styleOnSelect:function(t,e,r){var i=e[0].trace;i.selectedpoints?function(t,e,r){a.selectedPointStyle(t.selectAll(\"path\"),e),function(t,e,r){t.each((function(t){var i,s=n.select(this);if(t.selected){i=o.ensureUniformFontSize(r,g(s,t,e,r));var l=e.selected.textfont&&e.selected.textfont.color;l&&(i.color=l),a.font(s,i)}else a.selectedTextStyle(s,e)}))}(t.selectAll(\"text\"),e,r)}(r,i,t):(d(r,i,t),s.getComponentMethod(\"errorbars\",\"style\")(r))},getInsideTextFont:y,getOutsideTextFont:x,getBarColor:_,resizeText:l}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../../lib\":799,\"../../registry\":927,\"./attributes\":937,\"./helpers\":943,\"./uniform_text\":953,\"@plotly/d3\":58}],952:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../lib\").coercePattern;e.exports=function(t,e,r,s,l){var c=r(\"marker.color\",s),u=i(t,\"marker\");u&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",c,u),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},{\"../../components/color\":662,\"../../components/colorscale/defaults\":672,\"../../components/colorscale/helpers\":673,\"../../lib\":799}],953:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\");function a(t){return\"_\"+t+\"Text_minsize\"}e.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var s,l=\"hide\"===a.uniformtext.mode;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":s=\"g.slice\";break;case\"treemap\":case\"icicle\":s=\"g.slice, g.pathbar\";break;default:s=\"g.points > g.point\"}e.selectAll(s).each((function(t){var e=t.transform;e&&(e.scale=l&&e.hide?0:o/e.fontSize,n.select(this).select(\"text\").attr(\"transform\",i.getTextTransform(e)))}))}}}},{\"../../lib\":799,\"@plotly/d3\":58}],954:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../lib/extend\").extendFlat,a=t(\"../scatterpolar/attributes\"),o=t(\"../bar/attributes\");e.exports={r:a.r,theta:a.theta,r0:a.r0,dr:a.dr,theta0:a.theta0,dtheta:a.dtheta,thetaunit:a.thetaunit,base:i({},o.base,{}),offset:i({},o.offset,{}),width:i({},o.width,{}),text:i({},o.text,{}),hovertext:i({},o.hovertext,{}),marker:o.marker,hoverinfo:a.hoverinfo,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":789,\"../../plots/template_attributes\":922,\"../bar/attributes\":937,\"../scatterpolar/attributes\":1288}],955:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),a=t(\"../bar/arrays_to_calcdata\"),o=t(\"../bar/cross_trace_calc\").setGroupPositions,s=t(\"../scatter/calc_selection\"),l=t(\"../../registry\").traceIs,c=t(\"../../lib\").extendFlat;e.exports={calc:function(t,e){for(var r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,c=r[o].angularaxis,u=l.makeCalcdata(e,\"r\"),f=c.makeCalcdata(e,\"theta\"),h=e._length,p=new Array(h),d=u,m=f,g=0;g<h;g++)p[g]={p:m[g],s:d[g]};function v(t){var r=e[t];void 0!==r&&(e[\"_\"+t]=Array.isArray(r)?c.makeCalcdata(e,t):c.d2c(r,e.thetaunit))}return\"linear\"===c.type&&(v(\"width\"),v(\"offset\")),n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],u=s[0].trace;!0===u.visible&&l(u,\"bar\")&&u.subplot===r&&i.push(s)}var f=c({},e.radialaxis,{_id:\"x\"}),h=e.angularaxis;o(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},{\"../../components/colorscale/calc\":670,\"../../components/colorscale/helpers\":673,\"../../lib\":799,\"../../registry\":927,\"../bar/arrays_to_calcdata\":936,\"../bar/cross_trace_calc\":940,\"../scatter/calc_selection\":1216}],956:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatterpolar/defaults\").handleRThetaDefaults,a=t(\"../bar/style_defaults\"),o=t(\"./attributes\");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l(\"thetaunit\"),l(\"base\"),l(\"offset\"),l(\"width\"),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},{\"../../lib\":799,\"../bar/style_defaults\":952,\"../scatterpolar/defaults\":1290,\"./attributes\":954}],957:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"../bar/hover\").getTraceColor,o=i.fillText,s=t(\"../scatterpolar/hover\").makeHoverPointText,l=t(\"../../plots/polar/helpers\").isPtInsidePolygon;e.exports=function(t,e,r){var c=t.cd,u=c[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,m=d?l:i.isPtInsideSector,g=t.maxHoverDistance,v=p._period||2*Math.PI,y=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);h.range[0]>h.range[1]&&(x+=Math.PI);if(n.getClosest(c,(function(t){return m(y,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/v)-1+(t.rp1-y)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=c[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,u,t),s(_,u,f,t),t.hovertemplate=u.hovertemplate,t.color=a(u,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign=\"left\"),[t]}}},{\"../../components/fx\":702,\"../../lib\":799,\"../../plots/polar/helpers\":915,\"../bar/hover\":944,\"../scatterpolar/hover\":1292}],958:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"barpolar\",basePlotModule:t(\"../../plots/polar\"),categories:[\"polar\",\"bar\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"../scatterpolar/format_labels\"),style:t(\"../bar/style\").style,styleOnSelect:t(\"../bar/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../bar/select\"),meta:{}}},{\"../../plots/polar\":916,\"../bar/select\":949,\"../bar/style\":951,\"../scatter/marker_colorbar\":1232,\"../scatterpolar/format_labels\":1291,\"./attributes\":954,\"./calc\":955,\"./defaults\":956,\"./hover\":957,\"./layout_attributes\":959,\"./layout_defaults\":960,\"./plot\":961}],959:[function(t,e,r){\"use strict\";e.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},bargap:{valType:\"number\",dflt:.1,min:0,max:1,editType:\"calc\"}}},{}],960:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var l=0;l<r.length;l++){var c=r[l];\"barpolar\"===c.type&&!0===c.visible&&(o[a=c.subplot]||(s(\"barmode\"),s(\"bargap\"),o[a]=1))}}},{\"../../lib\":799,\"./layout_attributes\":959}],961:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../components/drawing\"),s=t(\"../../plots/polar/helpers\");e.exports=function(t,e,r){var l=e.xaxis,c=e.yaxis,u=e.radialAxis,f=e.angularAxis,h=function(t){var e=t.cxx,r=t.cyy;if(t.vangles)return function(n,i,o,l){var c,u;a.angleDelta(o,l)>0?(c=o,u=l):(c=l,u=o);var f=[s.findEnclosingVertexAngles(c,t.vangles)[0],(c+u)/2,s.findEnclosingVertexAngles(u,t.vangles)[1]];return s.pathPolygonAnnulus(n,i,c,u,f,e,r)};return function(t,n,i,o){return a.pathAnnulus(t,n,i,o,e,r)}}(e),p=e.layers.frontplot.select(\"g.barlayer\");a.makeTraceGroups(p,r,\"trace bars\").each((function(){var r=n.select(this),s=a.ensureSingle(r,\"g\",\"points\").selectAll(\"g.point\").data(a.identity);s.enter().append(\"g\").style(\"vector-effect\",\"non-scaling-stroke\").style(\"stroke-miterlimit\",2).classed(\"point\",!0),s.exit().remove(),s.each((function(t){var e,r=n.select(this),o=t.rp0=u.c2p(t.s0),s=t.rp1=u.c2p(t.s1),p=t.thetag0=f.c2g(t.p0),d=t.thetag1=f.c2g(t.p1);if(i(o)&&i(s)&&i(p)&&i(d)&&o!==s&&p!==d){var m=u.c2g(t.s1),g=(p+d)/2;t.ct=[l.c2p(m*Math.cos(g)),c.c2p(m*Math.sin(g))],e=h(o,s,p,d)}else e=\"M0,0Z\";a.ensureSingle(r,\"path\").attr(\"d\",e)})),o.setClipUrl(r,e._hasClipOnAxisFalse?e.clipIds.forTraces:null,t)}))}},{\"../../components/drawing\":684,\"../../lib\":799,\"../../plots/polar/helpers\":915,\"@plotly/d3\":58,\"fast-isnumeric\":245}],962:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../bar/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=c.line;e.exports={y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",editType:\"calc\"},dy:{valType:\"number\",editType:\"calc\"},xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),name:{valType:\"string\",editType:\"calc+clearAxisTypes\"},q1:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},median:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},q3:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},lowerfence:{valType:\"data_array\",editType:\"calc\"},upperfence:{valType:\"data_array\",editType:\"calc\"},notched:{valType:\"boolean\",editType:\"calc\"},notchwidth:{valType:\"number\",min:0,max:.5,dflt:.25,editType:\"calc\"},notchspan:{valType:\"data_array\",editType:\"calc\"},boxpoints:{valType:\"enumerated\",values:[\"all\",\"outliers\",\"suspectedoutliers\",!1],editType:\"calc\"},jitter:{valType:\"number\",min:0,max:1,editType:\"calc\"},pointpos:{valType:\"number\",min:-2,max:2,editType:\"calc\"},boxmean:{valType:\"enumerated\",values:[!0,\"sd\",!1],editType:\"calc\"},mean:{valType:\"data_array\",editType:\"calc\"},sd:{valType:\"data_array\",editType:\"calc\"},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc+clearAxisTypes\"},quartilemethod:{valType:\"enumerated\",values:[\"linear\",\"exclusive\",\"inclusive\"],dflt:\"linear\",editType:\"calc\"},width:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},marker:{outliercolor:{valType:\"color\",dflt:\"rgba(0, 0, 0, 0)\",editType:\"style\"},symbol:l({},c.symbol,{arrayOk:!1,editType:\"plot\"}),opacity:l({},c.opacity,{arrayOk:!1,dflt:1,editType:\"style\"}),size:l({},c.size,{arrayOk:!1,editType:\"calc\"}),color:l({},c.color,{arrayOk:!1,editType:\"style\"}),line:{color:l({},u.color,{arrayOk:!1,dflt:a.defaultLine,editType:\"style\"}),width:l({},u.width,{arrayOk:!1,dflt:0,editType:\"style\"}),outliercolor:{valType:\"color\",editType:\"style\"},outlierwidth:{valType:\"number\",min:0,dflt:1,editType:\"style\"},editType:\"style\"},editType:\"plot\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:n.fillcolor,whiskerwidth:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"calc\"},offsetgroup:i.offsetgroup,alignmentgroup:i.alignmentgroup,selected:{marker:n.selected.marker,editType:\"style\"},unselected:{marker:n.unselected.marker,editType:\"style\"},text:l({},n.text,{}),hovertext:l({},n.hovertext,{}),hovertemplate:s({}),hoveron:{valType:\"flaglist\",flags:[\"boxes\",\"points\"],dflt:\"boxes+points\",editType:\"style\"}}},{\"../../components/color/attributes\":661,\"../../lib/extend\":789,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../bar/attributes\":937,\"../scatter/attributes\":1214}],963:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/cartesian/align_period\"),o=t(\"../../lib\"),s=t(\"../../constants/numerical\").BADNUM,l=o._;e.exports=function(t,e){var r,c,y,x,b,_,w,T=t._fullLayout,k=i.getFromId(t,e.xaxis||\"x\"),M=i.getFromId(t,e.yaxis||\"y\"),A=[],S=\"violin\"===e.type?\"_numViolins\":\"_numBoxes\";\"h\"===e.orientation?(y=k,x=\"x\",b=M,_=\"y\",w=!!e.yperiodalignment):(y=M,x=\"y\",b=k,_=\"x\",w=!!e.xperiodalignment);var E,L,C,P,I,O,z=function(t,e,r,i){var s,l=e+\"0\"in t,c=\"d\"+e in t;if(e in t||l&&c){var u=r.makeCalcdata(t,e);return[a(t,r,e,u),u]}s=l?t[e+\"0\"]:\"name\"in t&&(\"category\"===r.type||n(t.name)&&-1!==[\"linear\",\"log\"].indexOf(r.type)||o.isDateTime(t.name)&&\"date\"===r.type)?t.name:i;for(var f=\"multicategory\"===r.type?r.r2c_just_indices(s):r.d2c(s,0,t[e+\"calendar\"]),h=t._length,p=new Array(h),d=0;d<h;d++)p[d]=f;return[p]}(e,_,b,T[S]),D=z[0],R=z[1],F=o.distinctVals(D,b),B=F.vals,N=F.minDiff/2,j=\"all\"===(e.boxpoints||e.points)?o.identity:function(t){return t.v<E.lf||t.v>E.uf};if(e._hasPreCompStats){var U=e[x],V=function(t){return y.d2c((e[t]||[])[r])},q=1/0,H=-1/0;for(r=0;r<e._length;r++){var G=D[r];if(n(G)){if((E={}).pos=E[_]=G,w&&R&&(E.orig_p=R[r]),E.q1=V(\"q1\"),E.med=V(\"median\"),E.q3=V(\"q3\"),L=[],U&&o.isArrayOrTypedArray(U[r]))for(c=0;c<U[r].length;c++)(O=y.d2c(U[r][c]))!==s&&(u(I={v:O,i:[r,c]},e,[r,c]),L.push(I));if(E.pts=L.sort(f),P=(C=E[x]=L.map(h)).length,E.med!==s&&E.q1!==s&&E.q3!==s&&E.med>=E.q1&&E.q3>=E.med){var Y=V(\"lowerfence\");E.lf=Y!==s&&Y<=E.q1?Y:p(E,C,P);var W=V(\"upperfence\");E.uf=W!==s&&W>=E.q3?W:d(E,C,P);var X=V(\"mean\");E.mean=X!==s?X:P?o.mean(C,P):(E.q1+E.q3)/2;var Z=V(\"sd\");E.sd=X!==s&&Z>=0?Z:P?o.stdev(C,P,E.mean):E.q3-E.q1,E.lo=m(E),E.uo=g(E);var J=V(\"notchspan\");J=J!==s&&J>0?J:v(E,P),E.ln=E.med-J,E.un=E.med+J;var K=E.lf,Q=E.uf;e.boxpoints&&C.length&&(K=Math.min(K,C[0]),Q=Math.max(Q,C[P-1])),e.notched&&(K=Math.min(K,E.ln),Q=Math.max(Q,E.un)),E.min=K,E.max=Q}else{var $;o.warn([\"Invalid input - make sure that q1 <= median <= q3\",\"q1 = \"+E.q1,\"median = \"+E.med,\"q3 = \"+E.q3].join(\"\\n\")),$=E.med!==s?E.med:E.q1!==s?E.q3!==s?(E.q1+E.q3)/2:E.q1:E.q3!==s?E.q3:0,E.med=$,E.q1=E.q3=$,E.lf=E.uf=$,E.mean=E.sd=$,E.ln=E.un=$,E.min=E.max=$}q=Math.min(q,E.min),H=Math.max(H,E.max),E.pts2=L.filter(j),A.push(E)}}e._extremes[y._id]=i.findExtremes(y,[q,H],{padded:!0})}else{var tt=y.makeCalcdata(e,x),et=function(t,e){for(var r=t.length,n=new Array(r+1),i=0;i<r;i++)n[i]=t[i]-e;return n[r]=t[r-1]+e,n}(B,N),rt=B.length,nt=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=[];return e}(rt);for(r=0;r<e._length;r++)if(O=tt[r],n(O)){var it=o.findBin(D[r],et);it>=0&&it<rt&&(u(I={v:O,i:r},e,r),nt[it].push(I))}var at=1/0,ot=-1/0,st=e.quartilemethod,lt=\"exclusive\"===st,ct=\"inclusive\"===st;for(r=0;r<rt;r++)if(nt[r].length>0){var ut,ft;if((E={}).pos=E[_]=B[r],L=E.pts=nt[r].sort(f),P=(C=E[x]=L.map(h)).length,E.min=C[0],E.max=C[P-1],E.mean=o.mean(C,P),E.sd=o.stdev(C,P,E.mean),E.med=o.interp(C,.5),P%2&&(lt||ct))lt?(ut=C.slice(0,P/2),ft=C.slice(P/2+1)):ct&&(ut=C.slice(0,P/2+1),ft=C.slice(P/2)),E.q1=o.interp(ut,.5),E.q3=o.interp(ft,.5);else E.q1=o.interp(C,.25),E.q3=o.interp(C,.75);E.lf=p(E,C,P),E.uf=d(E,C,P),E.lo=m(E),E.uo=g(E);var ht=v(E,P);E.ln=E.med-ht,E.un=E.med+ht,at=Math.min(at,E.ln),ot=Math.max(ot,E.un),E.pts2=L.filter(j),A.push(E)}e._extremes[y._id]=i.findExtremes(y,e.notched?tt.concat([at,ot]):tt,{padded:!0})}return function(t,e){if(o.isArrayOrTypedArray(e.selectedpoints))for(var r=0;r<t.length;r++){for(var n=t[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;o.tagSelected(n,e,i)}}(A,e),A.length>0?(A[0].t={num:T[S],dPos:N,posLetter:_,valLetter:x,labels:{med:l(t,\"median:\"),min:l(t,\"min:\"),q1:l(t,\"q1:\"),q3:l(t,\"q3:\"),max:l(t,\"max:\"),mean:\"sd\"===e.boxmean?l(t,\"mean \\xb1 \\u03c3:\"):l(t,\"mean:\"),lf:l(t,\"lower fence:\"),uf:l(t,\"upper fence:\")}},T[S]++,A):[{t:{empty:!0}}]};var c={text:\"tx\",hovertext:\"htx\"};function u(t,e,r){for(var n in c)o.isArrayOrTypedArray(e[n])&&(Array.isArray(r)?o.isArrayOrTypedArray(e[n][r[0]])&&(t[c[n]]=e[n][r[0]][r[1]]):t[c[n]]=e[n][r])}function f(t,e){return t.v-e.v}function h(t){return t.v}function p(t,e,r){return 0===r?t.q1:Math.min(t.q1,e[Math.min(o.findBin(2.5*t.q1-1.5*t.q3,e,!0)+1,r-1)])}function d(t,e,r){return 0===r?t.q3:Math.max(t.q3,e[Math.max(o.findBin(2.5*t.q3-1.5*t.q1,e),0)])}function m(t){return 4*t.q1-3*t.q3}function g(t){return 4*t.q3-3*t.q1}function v(t,e){return 0===e?0:1.57*(t.q3-t.q1)/Math.sqrt(e)}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/axes\":849,\"fast-isnumeric\":245}],964:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../lib\"),a=t(\"../../plots/cartesian/constraints\").getAxisGroup,o=[\"v\",\"h\"];function s(t,e,r,o){var s,l,c,u=e.calcdata,f=e._fullLayout,h=o._id,p=h.charAt(0),d=[],m=0;for(s=0;s<r.length;s++)for(c=u[r[s]],l=0;l<c.length;l++)d.push(o.c2l(c[l].pos,!0)),m+=(c[l].pts2||[]).length;if(d.length){var g=i.distinctVals(d);\"category\"!==o.type&&\"multicategory\"!==o.type||(g.minDiff=1);var v=g.minDiff/2;n.minDtick(o,g.minDiff,g.vals[0],!0);var y=f[\"violin\"===t?\"_numViolins\":\"_numBoxes\"],x=\"group\"===f[t+\"mode\"]&&y>1,b=1-f[t+\"gap\"],_=1-f[t+\"groupgap\"];for(s=0;s<r.length;s++){var w,T,k,M,A,S,E=(c=u[r[s]])[0].trace,L=c[0].t,C=E.width,P=E.side;if(C)w=T=M=C/2,k=0;else if(w=v,x){var I=a(f,o._id)+E.orientation,O=(f._alignmentOpts[I]||{})[E.alignmentgroup]||{},z=Object.keys(O.offsetGroups||{}).length,D=z||y;T=w*b*_/D,k=2*w*(((z?E._offsetIndex:L.num)+.5)/D-.5)*b,M=w*b/D}else T=w*b*_,k=0,M=w;L.dPos=w,L.bPos=k,L.bdPos=T,L.wHover=M;var R,F,B,N,j,U,V=k+T,q=Boolean(C);if(\"positive\"===P?(A=w*(C?1:.5),R=V,S=R=k):\"negative\"===P?(A=R=k,S=w*(C?1:.5),F=V):(A=S=w,R=F=V),(E.boxpoints||E.points)&&m>0){var H=E.pointpos,G=E.jitter,Y=E.marker.size/2,W=0;H+G>=0&&((W=V*(H+G))>A?(q=!0,j=Y,B=W):W>R&&(j=Y,B=A)),W<=A&&(B=A);var X=0;H-G<=0&&((X=-V*(H-G))>S?(q=!0,U=Y,N=X):X>F&&(U=Y,N=S)),X<=S&&(N=S)}else B=A,N=S;var Z=new Array(c.length);for(l=0;l<c.length;l++)Z[l]=c[l].pos;E._extremes[h]=n.findExtremes(o,Z,{padded:q,vpadminus:N,vpadplus:B,vpadLinearized:!0,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]})}}}e.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],c=\"h\"===l?i:n,u=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||\"box\"!==d.type&&\"candlestick\"!==d.type||p.empty||(d.orientation||\"v\")!==l||d.xaxis!==n._id||d.yaxis!==i._id||u.push(f)}s(\"box\",t,u,c)}},setPositionOffset:s}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../../plots/cartesian/constraints\":857}],965:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"../../components/color\"),o=t(\"../scatter/period_defaults\"),s=t(\"../bar/defaults\").handleGroupingDefaults,l=t(\"../../plots/cartesian/axis_autotype\"),c=t(\"./attributes\");function u(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],c[e])}var u,f=r(\"y\"),h=r(\"x\");if(\"box\"===e.type){var p=r(\"q1\"),d=r(\"median\"),m=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&m&&m.length,u=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(m))}var g,v,y=o(f),x=o(h),b=y&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(y)){case\"00\":var k=s(\"x0\")||s(\"dx\");g=(s(\"y0\")||s(\"dy\"))&&!k?\"h\":\"v\",v=u;break;case\"10\":g=\"v\",v=Math.min(u,_);break;case\"20\":g=\"h\",v=Math.min(u,h.length);break;case\"01\":g=\"h\",v=Math.min(u,b);break;case\"02\":g=\"v\",v=Math.min(u,f.length);break;case\"12\":g=\"v\",v=Math.min(u,_,f.length);break;case\"21\":g=\"h\",v=Math.min(u,h.length,b);break;case\"11\":v=0;break;case\"22\":var M,A=!1;for(M=0;M<h.length;M++)if(\"category\"===l(h[M],w,T)){A=!0;break}if(A)g=\"v\",v=Math.min(u,_,f.length);else{for(M=0;M<f.length;M++)if(\"category\"===l(f[M],w,T)){A=!0;break}A?(g=\"h\",v=Math.min(u,h.length,b)):(g=\"v\",v=Math.min(u,_,f.length))}}else y>0?(g=\"v\",v=x>0?Math.min(_,b):Math.min(b)):x>0?(g=\"h\",v=Math.min(_)):v=0;if(v){e._length=v;var S=r(\"orientation\",g);e._hasPreCompStats?\"v\"===S&&0===x?(r(\"x0\",0),r(\"dx\",1)):\"h\"===S&&0===y&&(r(\"y0\",0),r(\"dy\",1)):\"v\"===S&&0===x?r(\"x0\"):\"h\"===S&&0===y&&r(\"y0\"),i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\"],a)}else e.visible=!1}function f(t,e,r,i){var a=i.prefix,o=n.coerce2(t,e,c,\"marker.outliercolor\"),s=r(\"marker.line.outliercolor\"),l=\"outliers\";e._hasPreCompStats?l=\"all\":(o||s)&&(l=\"suspectedoutliers\");var u=r(a+\"points\",l);u?(r(\"jitter\",\"all\"===u?.3:0),r(\"pointpos\",\"all\"===u?-1.5:0),r(\"marker.symbol\"),r(\"marker.opacity\"),r(\"marker.size\"),r(\"marker.color\",e.line.color),r(\"marker.line.color\"),r(\"marker.line.width\"),\"suspectedoutliers\"===u&&(r(\"marker.line.outliercolor\",e.marker.color),r(\"marker.line.outlierwidth\")),r(\"selected.marker.color\"),r(\"unselected.marker.color\"),r(\"selected.marker.size\"),r(\"unselected.marker.size\"),r(\"text\"),r(\"hovertext\")):delete e.marker;var f=r(\"hoveron\");\"all\"!==f&&-1===f.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,c,r,i)}if(u(t,e,s,i),!1!==e.visible){o(t,e,i,s),s(\"xhoverformat\"),s(\"yhoverformat\");var l=e._hasPreCompStats;l&&(s(\"lowerfence\"),s(\"upperfence\")),s(\"line.color\",(t.marker||{}).color||r),s(\"line.width\"),s(\"fillcolor\",a.addOpacity(e.line.color,.5));var h=!1;if(l){var p=s(\"mean\"),d=s(\"sd\");p&&p.length&&(h=!0,d&&d.length&&(h=\"sd\"))}s(\"boxmean\",h),s(\"whiskerwidth\"),s(\"width\"),s(\"quartilemethod\");var m=!1;if(l){var g=s(\"notchspan\");g&&g.length&&(m=!0)}else n.validate(t.notchwidth,c.notchwidth)&&(m=!0);s(\"notched\",m)&&s(\"notchwidth\"),f(t,e,s,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,i;function a(t){return n.coerce(i._input,i,c,t)}for(var o=0;o<t.length;o++){var l=(i=t[o]).type;\"box\"!==l&&\"violin\"!==l||(r=i._input,\"group\"===e[l+\"mode\"]&&s(r,i,e,a))}},handleSampleDefaults:u,handlePointsDefaults:f}},{\"../../components/color\":662,\"../../lib\":799,\"../../plots/cartesian/axis_autotype\":850,\"../../registry\":927,\"../bar/defaults\":941,\"../scatter/period_defaults\":1234,\"./attributes\":962}],966:[function(t,e,r){\"use strict\";e.exports=function(t,e){return e.hoverOnBox&&(t.hoverOnBox=e.hoverOnBox),\"xVal\"in e&&(t.x=e.xVal),\"yVal\"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],967:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../lib\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=i.fillText;function l(t,e,r,s){var l,c,u,f,h,p,d,m,g,v,y,x,b,_,w=t.cd,T=t.xa,k=t.ya,M=w[0].trace,A=w[0].t,S=\"violin\"===M.type,E=[],L=A.bdPos,C=A.wHover,P=function(t){return u.c2l(t.pos)+A.bPos-u.c2l(p)};S&&\"both\"!==M.side?(\"positive\"===M.side&&(g=function(t){var e=P(t);return a.inbox(e,e+C,v)},x=L,b=0),\"negative\"===M.side&&(g=function(t){var e=P(t);return a.inbox(e-C,e,v)},x=0,b=L)):(g=function(t){var e=P(t);return a.inbox(e-C,e+C,v)},x=b=L),_=S?function(t){return a.inbox(t.span[0]-h,t.span[1]-h,v)}:function(t){return a.inbox(t.min-h,t.max-h,v)},\"h\"===M.orientation?(h=e,p=r,d=_,m=g,l=\"y\",u=k,c=\"x\",f=T):(h=r,p=e,d=g,m=_,l=\"x\",u=T,c=\"y\",f=k);var I=Math.min(1,L/Math.abs(u.r2c(u.range[1])-u.r2c(u.range[0])));function O(t){return(d(t)+m(t))/2}v=t.maxHoverDistance-I,y=t.maxSpikeDistance-I;var z=a.getDistanceFunction(s,d,m,O);if(a.getClosest(w,z,t),!1===t.index)return[];var D=w[t.index],R=M.line.color,F=(M.marker||{}).color;o.opacity(R)&&M.line.width?t.color=R:o.opacity(F)&&M.boxpoints?t.color=F:t.color=M.fillcolor,t[l+\"0\"]=u.c2p(D.pos+A.bPos-b,!0),t[l+\"1\"]=u.c2p(D.pos+A.bPos+x,!0),t[l+\"LabelVal\"]=void 0!==D.orig_p?D.orig_p:D.pos;var B=l+\"Spike\";t.spikeDistance=O(D)*y/v,t[B]=u.c2p(D.pos,!0);var N={},j=[\"med\",\"q1\",\"q3\",\"min\",\"max\"];(M.boxmean||(M.meanline||{}).visible)&&j.push(\"mean\"),(M.boxpoints||M.points)&&j.push(\"lf\",\"uf\");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=f.c2p(q,!0),G=i.extendFlat({},t);G.attr=V,G[c+\"0\"]=G[c+\"1\"]=H,G[c+\"LabelVal\"]=q,G[c+\"Label\"]=(A.labels?A.labels[V]+\" \":\"\")+n.hoverLabelText(f,q,M[c+\"hoverformat\"]),G.hoverOnBox=!0,\"mean\"===V&&\"sd\"in D&&\"sd\"===M.boxmean&&(G[c+\"err\"]=D.sd),t.name=\"\",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,f=t.ya,h=c[0].trace,p=u.c2p(e),d=f.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(f.c2p(t.y)-d)-e,1-3/e)})),g=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var x=m(l=o.pts[y]);x<=t.distance&&(t.distance=x,g=[v,y])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var b=u.c2p(l.x,!0),_=f.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(h.marker||{}).color,name:h.name,x0:b-w,x1:b+w,y0:_-w,y1:_+w,spikeDistance:t.distance,hovertemplate:h.hovertemplate});var T,k=o.orig_p,M=void 0!==k?k:o.pos;return\"h\"===h.orientation?(T=f,n.xLabelVal=l.x,n.yLabelVal=M):(T=u,n.xLabelVal=M,n.yLabelVal=l.y),n[T._id.charAt(0)+\"Spike\"]=T.c2p(o.pos,!0),s(l,h,n),n}e.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=c(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},{\"../../components/color\":662,\"../../components/fx\":702,\"../../lib\":799,\"../../plots/cartesian/axes\":849}],968:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,crossTraceDefaults:t(\"./defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\").supplyLayoutDefaults,calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\").style,styleOnSelect:t(\"./style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),moduleType:\"trace\",name:\"box\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":863,\"./attributes\":962,\"./calc\":963,\"./cross_trace_calc\":964,\"./defaults\":965,\"./event_data\":966,\"./hover\":967,\"./layout_attributes\":969,\"./layout_defaults\":970,\"./plot\":971,\"./select\":972,\"./style\":973}],969:[function(t,e,r){\"use strict\";e.exports={boxmode:{valType:\"enumerated\",values:[\"group\",\"overlay\"],dflt:\"overlay\",editType:\"calc\"},boxgap:{valType:\"number\",min:0,max:1,dflt:.3,editType:\"calc\"},boxgroupgap:{valType:\"number\",min:0,max:1,dflt:.3,editType:\"calc\"}}},{}],970:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./layout_attributes\");function o(t,e,r,i,a){for(var o=a+\"Layout\",s=!1,l=0;l<r.length;l++){var c=r[l];if(n.traceIs(c,o)){s=!0;break}}s&&(i(a+\"mode\"),i(a+\"gap\"),i(a+\"groupgap\"))}e.exports={supplyLayoutDefaults:function(t,e,r){o(0,0,r,(function(r,n){return i.coerce(t,e,a,r,n)}),\"box\")},_supply:o}},{\"../../lib\":799,\"../../registry\":927,\"./layout_attributes\":969}],971:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\");function o(t,e,r,a){var o,s,l=\"h\"===r.orientation,c=e.val,u=e.pos,f=!!u.rangebreaks,h=a.bPos,p=a.wdPos||0,d=a.bPosPxOffset||0,m=r.whiskerwidth||0,g=r.notched||!1,v=g?1-2*r.notchwidth:1;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var y=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);y.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),y.exit().remove(),y.each((function(t){if(t.empty)return\"M0,0Z\";var e=u.c2l(t.pos+h,!0),a=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=f?(a+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=f?a*b+(1-b)*x:u.l2p(e-p)+d,w=f?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=i.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,L=c.c2p(E?t.min:t.lf,!0),C=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+M+\",\"+a+\"V\"+y+(g?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+I+\",\"+y:\"\")+\"H\"+A+\"V\"+a+(g?\"H\"+I+\"L\"+S+\",\"+T+\"L\"+P+\",\"+a:\"\")+\"ZM\"+M+\",\"+x+\"H\"+L+\"M\"+A+\",\"+x+\"H\"+C+(0===m?\"\":\"M\"+L+\",\"+_+\"V\"+w+\"M\"+C+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+a+\",\"+M+\"H\"+y+(g?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+y+\",\"+I:\"\")+\"V\"+A+\"H\"+a+(g?\"V\"+I+\"L\"+T+\",\"+S+\"L\"+a+\",\"+P:\"\")+\"ZM\"+x+\",\"+M+\"V\"+L+\"M\"+x+\",\"+A+\"V\"+C+(0===m?\"\":\"M\"+_+\",\"+L+\"H\"+w+\"M\"+_+\",\"+C+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;i.seedPseudoRandom();var f=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),m=a[d].v,g=Math.min(a.length-1,e+5),v=a[g].v;\"all\"!==u&&(a[e].v<t.lf?v=Math.min(v,t.lf):m=Math.max(m,t.uf));var y=Math.sqrt(f*(g-d)/(v-m+s))||0;y=i.constrain(Math.abs(y),0,1),h.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,f=a.bPos,h=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+f,!0),i=c.l2p(e-o)+h,a=c.l2p(e+s)+h,d=u?(i+a)/2:c.l2p(e)+h,m=l.c2p(t.mean,!0),g=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+m+\",\"+i+\"V\"+a+(\"sd\"===p?\"m0,0L\"+g+\",\"+d+\"L\"+m+\",\"+i+\"L\"+v+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+i+\",\"+m+\"H\"+a+(\"sd\"===p?\"m0,0L\"+d+\",\"+g+\"L\"+i+\",\"+m+\"L\"+d+\",\"+v+\"Z\":\"\"))}))}e.exports={plot:function(t,e,r,a){var c=e.xaxis,u=e.yaxis;i.makeTraceGroups(a,r,\"trace boxes\").each((function(t){var e,r,i=n.select(this),a=t[0],f=a.t,h=a.trace;(f.wdPos=f.bdPos*h.whiskerwidth,!0!==h.visible||f.empty)?i.remove():(\"h\"===h.orientation?(e=u,r=c):(e=c,r=u),o(i,{pos:e,val:r},h,f),s(i,{x:c,y:u},h,f),l(i,{pos:e,val:r},h,f))}))},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l}},{\"../../components/drawing\":684,\"../../lib\":799,\"@plotly/d3\":58}],972:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(!1===e)for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++)i[r].pts[n].selected=0;else for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++){var l=i[r].pts[n],c=a.c2p(l.x),u=o.c2p(l.y);e.contains([c,u],null,l.i,t)?(s.push({pointNumber:l.i,x:a.c2d(l.x),y:o.c2d(l.y)}),l.selected=1):l.selected=0}return s}},{}],973:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../components/drawing\");e.exports={style:function(t,e,r){var o=r||n.select(t).selectAll(\"g.trace.boxes\");o.style(\"opacity\",(function(t){return t[0].trace.opacity})),o.each((function(e){var r=n.select(this),o=e[0].trace,s=o.line.width;function l(t,e,r,n){t.style(\"stroke-width\",e+\"px\").call(i.stroke,r).call(i.fill,n)}var c=r.selectAll(\"path.box\");if(\"candlestick\"===o.type)c.each((function(t){if(!t.empty){var e=n.select(this),r=o[t.dir];l(e,r.line.width,r.line.color,r.fillcolor),e.style(\"opacity\",o.selectedpoints&&!t.selected?.3:1)}}));else{l(c,s,o.line.color,o.fillcolor),r.selectAll(\"path.mean\").style({\"stroke-width\":s,\"stroke-dasharray\":2*s+\"px,\"+s+\"px\"}).call(i.stroke,o.line.color);var u=r.selectAll(\"path.point\");a.pointStyle(u,o,t)}}))},styleOnSelect:function(t,e,r){var n=e[0].trace,i=r.selectAll(\"path.point\");n.selectedpoints?a.selectedPointStyle(i,n):a.pointStyle(i,n,t)}}},{\"../../components/color\":662,\"../../components/drawing\":684,\"@plotly/d3\":58}],974:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").extendFlat,i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../ohlc/attributes\"),o=t(\"../box/attributes\");function s(t){return{line:{color:n({},o.line.color,{dflt:t}),width:o.line.width,editType:\"style\"},fillcolor:o.fillcolor,editType:\"style\"}}e.exports={xperiod:a.xperiod,xperiod0:a.xperiod0,xperiodalignment:a.xperiodalignment,xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),x:a.x,open:a.open,high:a.high,low:a.low,close:a.close,line:{width:n({},o.line.width,{}),editType:\"style\"},increasing:s(a.increasing.line.color.dflt),decreasing:s(a.decreasing.line.color.dflt),text:a.text,hovertext:a.hovertext,whiskerwidth:n({},o.whiskerwidth,{dflt:0}),hoverlabel:a.hoverlabel}},{\"../../lib\":799,\"../../plots/cartesian/axis_format_attributes\":852,\"../box/attributes\":962,\"../ohlc/attributes\":1160}],975:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/cartesian/align_period\"),o=t(\"../ohlc/calc\").calcCommon;function s(t,e,r,n){return{min:r,q1:Math.min(t,n),med:n,q3:Math.max(t,n),max:e}}e.exports=function(t,e){var r=t._fullLayout,l=i.getFromId(t,e.xaxis),c=i.getFromId(t,e.yaxis),u=l.makeCalcdata(e,\"x\"),f=a(e,l,\"x\",u),h=o(t,e,u,f,c,s);return h.length?(n.extendFlat(h[0].t,{num:r._numBoxes,dPos:n.distinctVals(f).minDiff/2,posLetter:\"x\",valLetter:\"y\"}),r._numBoxes++,h):[{t:{empty:!0}}]}},{\"../../lib\":799,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/axes\":849,\"../ohlc/calc\":1161}],976:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../ohlc/ohlc_defaults\"),o=t(\"../scatter/period_defaults\"),s=t(\"./attributes\");function l(t,e,r,n){var a=r(n+\".line.color\");r(n+\".line.width\",e.line.width),r(n+\".fillcolor\",i.addOpacity(a,.5))}e.exports=function(t,e,r,i){function c(r,i){return n.coerce(t,e,s,r,i)}a(t,e,c,i)?(o(t,e,i,c,{x:!0}),c(\"xhoverformat\"),c(\"yhoverformat\"),c(\"line.width\"),l(t,e,c,\"increasing\"),l(t,e,c,\"decreasing\"),c(\"text\"),c(\"hovertext\"),c(\"whiskerwidth\"),i._requestRangeslider[e.xaxis]=!0):e.visible=!1}},{\"../../components/color\":662,\"../../lib\":799,\"../ohlc/ohlc_defaults\":1165,\"../scatter/period_defaults\":1234,\"./attributes\":974}],977:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"candlestick\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"showLegend\",\"candlestick\",\"boxLayout\"],meta:{},attributes:t(\"./attributes\"),layoutAttributes:t(\"../box/layout_attributes\"),supplyLayoutDefaults:t(\"../box/layout_defaults\").supplyLayoutDefaults,crossTraceCalc:t(\"../box/cross_trace_calc\").crossTraceCalc,supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"../box/plot\").plot,layerName:\"boxlayer\",style:t(\"../box/style\").style,hoverPoints:t(\"../ohlc/hover\").hoverPoints,selectPoints:t(\"../ohlc/select\")}},{\"../../plots/cartesian\":863,\"../box/cross_trace_calc\":964,\"../box/layout_attributes\":969,\"../box/layout_defaults\":970,\"../box/plot\":971,\"../box/style\":973,\"../ohlc/hover\":1163,\"../ohlc/select\":1167,\"./attributes\":974,\"./calc\":975,\"./defaults\":976}],978:[function(t,e,r){\"use strict\";var n=t(\"./axis_defaults\"),i=t(\"../../plot_api/plot_template\");e.exports=function(t,e,r,a,o){a(\"a\")||(a(\"da\"),a(\"a0\")),a(\"b\")||(a(\"db\"),a(\"b0\")),function(t,e,r,a){[\"aaxis\",\"baxis\"].forEach((function(o){var s=o.charAt(0),l=t[o]||{},c=i.newContainer(e,o),u={tickfont:\"x\",id:s+\"axis\",letter:s,font:e.font,name:o,data:t[s],calendar:e.calendar,dfltColor:a,bgColor:r.paper_bgcolor,autotypenumbersDflt:r.autotypenumbers,fullLayout:r};n(l,c,u),c._categories=c._categories||[],t[o]||\"-\"===l.type||(t[o]={type:l.type})}))}(t,e,r,o)}},{\"../../plot_api/plot_template\":838,\"./axis_defaults\":983}],979:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t){return function t(e,r){if(!n(e)||r>=10)return null;for(var i=1/0,a=-1/0,o=e.length,s=0;s<o;s++){var l=e[s];if(n(l)){var c=t(l,r+1);c&&(i=Math.min(c[0],i),a=Math.max(c[1],a))}else i=Math.min(l,i),a=Math.max(l,a)}return[i,a]}(t,0)}},{\"../../lib\":799}],980:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"./axis_attributes\"),a=t(\"../../components/color/attributes\"),o=n({editType:\"calc\"});o.family.dflt='\"Open Sans\", verdana, arial, sans-serif',o.size.dflt=12,o.color.dflt=a.defaultLine,e.exports={carpet:{valType:\"string\",editType:\"calc\"},x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},a:{valType:\"data_array\",editType:\"calc\"},a0:{valType:\"number\",dflt:0,editType:\"calc\"},da:{valType:\"number\",dflt:1,editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},b0:{valType:\"number\",dflt:0,editType:\"calc\"},db:{valType:\"number\",dflt:1,editType:\"calc\"},cheaterslope:{valType:\"number\",dflt:1,editType:\"calc\"},aaxis:i,baxis:i,font:o,color:{valType:\"color\",dflt:a.defaultLine,editType:\"plot\"},transforms:void 0}},{\"../../components/color/attributes\":661,\"../../plots/font_attributes\":878,\"./axis_attributes\":982}],981:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m,g,v,y=n(r)?\"a\":\"b\",x=(\"a\"===y?t.aaxis:t.baxis).smoothing,b=\"a\"===y?t.a2i:t.b2j,_=\"a\"===y?r:i,w=\"a\"===y?i:r,T=\"a\"===y?e.a.length:e.b.length,k=\"a\"===y?e.b.length:e.a.length,M=Math.floor(\"a\"===y?t.b2j(w):t.a2i(w)),A=\"a\"===y?function(e){return t.evalxy([],e,M)}:function(e){return t.evalxy([],M,e)};x&&(s=Math.max(0,Math.min(k-2,M)),l=M-s,o=\"a\"===y?function(e,r){return t.dxydi([],e,s,r,l)}:function(e,r){return t.dxydj([],s,e,l,r)});var S=b(_[0]),E=b(_[1]),L=S<E?1:-1,C=1e-8*(E-S),P=L>0?Math.floor:Math.ceil,I=L>0?Math.ceil:Math.floor,O=L>0?Math.min:Math.max,z=L>0?Math.max:Math.min,D=P(S+C),R=I(E-C),F=[[f=A(S)]];for(a=D;a*L<R*L;a+=L)c=[],m=z(S,a),v=(g=O(E,a+L))-m,u=Math.max(0,Math.min(T-2,Math.floor(.5*(m+g)))),h=A(g),x&&(p=o(u,m-u),d=o(u,g-u),c.push([f[0]+p[0]/3*v,f[1]+p[1]/3*v]),c.push([h[0]-d[0]/3*v,h[1]-d[1]/3*v])),c.push(h),F.push(c),f=h;return F}},{\"../../lib\":799}],982:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../components/color/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").descriptionWithDates,s=t(\"../../plot_api/edit_types\").overrideAll;e.exports={color:{valType:\"color\",editType:\"calc\"},smoothing:{valType:\"number\",dflt:1,min:0,max:1.3,editType:\"calc\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"calc\"},font:n({editType:\"calc\"}),offset:{valType:\"number\",dflt:10,editType:\"calc\"},editType:\"calc\"},type:{valType:\"enumerated\",values:[\"-\",\"linear\",\"date\",\"category\"],dflt:\"-\",editType:\"calc\"},autotypenumbers:a.autotypenumbers,autorange:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],dflt:!0,editType:\"calc\"},rangemode:{valType:\"enumerated\",values:[\"normal\",\"tozero\",\"nonnegative\"],dflt:\"normal\",editType:\"calc\"},range:{valType:\"info_array\",editType:\"calc\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}]},fixedrange:{valType:\"boolean\",dflt:!1,editType:\"calc\"},cheatertype:{valType:\"enumerated\",values:[\"index\",\"value\"],dflt:\"value\",editType:\"calc\"},tickmode:{valType:\"enumerated\",values:[\"linear\",\"array\"],dflt:\"array\",editType:\"calc\"},nticks:{valType:\"integer\",min:0,dflt:0,editType:\"calc\"},tickvals:{valType:\"data_array\",editType:\"calc\"},ticktext:{valType:\"data_array\",editType:\"calc\"},showticklabels:{valType:\"enumerated\",values:[\"start\",\"end\",\"both\",\"none\"],dflt:\"start\",editType:\"calc\"},tickfont:n({editType:\"calc\"}),tickangle:{valType:\"angle\",dflt:\"auto\",editType:\"calc\"},tickprefix:{valType:\"string\",dflt:\"\",editType:\"calc\"},showtickprefix:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"calc\"},ticksuffix:{valType:\"string\",dflt:\"\",editType:\"calc\"},showticksuffix:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"calc\"},showexponent:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"calc\"},exponentformat:{valType:\"enumerated\",values:[\"none\",\"e\",\"E\",\"power\",\"SI\",\"B\"],dflt:\"B\",editType:\"calc\"},minexponent:{valType:\"number\",dflt:3,min:0,editType:\"calc\"},separatethousands:{valType:\"boolean\",dflt:!1,editType:\"calc\"},tickformat:{valType:\"string\",dflt:\"\",editType:\"calc\",description:o(\"tick label\")},tickformatstops:s(a.tickformatstops,\"calc\",\"from-root\"),categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category ascending\",\"category descending\",\"array\"],dflt:\"trace\",editType:\"calc\"},categoryarray:{valType:\"data_array\",editType:\"calc\"},labelpadding:{valType:\"integer\",dflt:10,editType:\"calc\"},labelprefix:{valType:\"string\",editType:\"calc\"},labelsuffix:{valType:\"string\",dflt:\"\",editType:\"calc\"},showline:{valType:\"boolean\",dflt:!1,editType:\"calc\"},linecolor:{valType:\"color\",dflt:i.defaultLine,editType:\"calc\"},linewidth:{valType:\"number\",min:0,dflt:1,editType:\"calc\"},gridcolor:{valType:\"color\",editType:\"calc\"},gridwidth:{valType:\"number\",min:0,dflt:1,editType:\"calc\"},showgrid:{valType:\"boolean\",dflt:!0,editType:\"calc\"},minorgridcount:{valType:\"integer\",min:0,dflt:0,editType:\"calc\"},minorgridwidth:{valType:\"number\",min:0,dflt:1,editType:\"calc\"},minorgridcolor:{valType:\"color\",dflt:i.lightLine,editType:\"calc\"},startline:{valType:\"boolean\",editType:\"calc\"},startlinecolor:{valType:\"color\",editType:\"calc\"},startlinewidth:{valType:\"number\",dflt:1,editType:\"calc\"},endline:{valType:\"boolean\",editType:\"calc\"},endlinewidth:{valType:\"number\",dflt:1,editType:\"calc\"},endlinecolor:{valType:\"color\",editType:\"calc\"},tick0:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},dtick:{valType:\"number\",min:0,dflt:1,editType:\"calc\"},arraytick0:{valType:\"integer\",min:0,dflt:0,editType:\"calc\"},arraydtick:{valType:\"integer\",min:1,dflt:1,editType:\"calc\"},_deprecated:{title:{valType:\"string\",editType:\"calc\"},titlefont:n({editType:\"calc\"}),titleoffset:{valType:\"number\",dflt:10,editType:\"calc\"}},editType:\"calc\"}},{\"../../components/color/attributes\":661,\"../../plot_api/edit_types\":831,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/cartesian/layout_attributes\":864,\"../../plots/font_attributes\":878}],983:[function(t,e,r){\"use strict\";var n=t(\"./attributes\"),i=t(\"../../components/color\").addOpacity,a=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../plots/cartesian/tick_value_defaults\"),l=t(\"../../plots/cartesian/tick_label_defaults\"),c=t(\"../../plots/cartesian/category_order_defaults\"),u=t(\"../../plots/cartesian/set_convert\"),f=t(\"../../plots/cartesian/axis_autotype\");e.exports=function(t,e,r){var h=r.letter,p=r.font||{},d=n[h+\"axis\"];function m(r,n){return o.coerce(t,e,d,r,n)}function g(r,n){return o.coerce2(t,e,d,r,n)}r.name&&(e._name=r.name,e._id=r.name),m(\"autotypenumbers\",r.autotypenumbersDflt);var v=m(\"type\");(\"-\"===v&&(r.data&&function(t,e){if(\"-\"!==t.type)return;var r=t._id.charAt(0),n=t[r+\"calendar\"];t.type=f(e,n,{autotypenumbers:t.autotypenumbers})}(e,r.data),\"-\"===e.type?e.type=\"linear\":v=t.type=e.type),m(\"smoothing\"),m(\"cheatertype\"),m(\"showticklabels\"),m(\"labelprefix\",h+\" = \"),m(\"labelsuffix\"),m(\"showtickprefix\"),m(\"showticksuffix\"),m(\"separatethousands\"),m(\"tickformat\"),m(\"exponentformat\"),m(\"minexponent\"),m(\"showexponent\"),m(\"categoryorder\"),m(\"tickmode\"),m(\"tickvals\"),m(\"ticktext\"),m(\"tick0\"),m(\"dtick\"),\"array\"===e.tickmode&&(m(\"arraytick0\"),m(\"arraydtick\")),m(\"labelpadding\"),e._hovertitle=h,\"date\"===v)&&a.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",r.calendar);u(e,r.fullLayout),e.c2p=o.identity;var y=m(\"color\",r.dfltColor),x=y===t.color?y:p.color;m(\"title.text\")&&(o.coerceFont(m,\"title.font\",{family:p.family,size:o.bigFont(p.size),color:x}),m(\"title.offset\")),m(\"tickangle\"),m(\"autorange\",!e.isValidRange(t.range))&&m(\"rangemode\"),m(\"range\"),e.cleanRange(),m(\"fixedrange\"),s(t,e,m,v),l(t,e,m,v,r),c(t,e,m,{data:r.data,dataAttr:h});var b=g(\"gridcolor\",i(y,.3)),_=g(\"gridwidth\"),w=m(\"showgrid\");w||(delete e.gridcolor,delete e.gridwidth);var T=g(\"startlinecolor\",y),k=g(\"startlinewidth\",_);m(\"startline\",e.showgrid||!!T||!!k)||(delete e.startlinecolor,delete e.startlinewidth);var M=g(\"endlinecolor\",y),A=g(\"endlinewidth\",_);return m(\"endline\",e.showgrid||!!M||!!A)||(delete e.endlinecolor,delete e.endlinewidth),w?(m(\"minorgridcount\"),m(\"minorgridwidth\",_),m(\"minorgridcolor\",i(b,.06)),e.minorgridcount||(delete e.minorgridwidth,delete e.minorgridcolor)):(delete e.gridcolor,delete e.gridWidth),\"none\"===e.showticklabels&&(delete e.tickfont,delete e.tickangle,delete e.showexponent,delete e.exponentformat,delete e.minexponent,delete e.tickformat,delete e.showticksuffix,delete e.showtickprefix),e.showticksuffix||delete e.ticksuffix,e.showtickprefix||delete e.tickprefix,m(\"tickmode\"),e}},{\"../../components/color\":662,\"../../lib\":799,\"../../plots/cartesian/axis_autotype\":850,\"../../plots/cartesian/category_order_defaults\":854,\"../../plots/cartesian/set_convert\":870,\"../../plots/cartesian/tick_label_defaults\":871,\"../../plots/cartesian/tick_value_defaults\":873,\"../../registry\":927,\"./attributes\":980}],984:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../lib\").isArray1D,a=t(\"./cheater_basis\"),o=t(\"./array_minmax\"),s=t(\"./calc_gridlines\"),l=t(\"./calc_labels\"),c=t(\"./calc_clippath\"),u=t(\"../heatmap/clean_2d_array\"),f=t(\"./smooth_fill_2d_array\"),h=t(\"../heatmap/convert_column_xyz\"),p=t(\"./set_convert\");e.exports=function(t,e){var r=n.getFromId(t,e.xaxis),d=n.getFromId(t,e.yaxis),m=e.aaxis,g=e.baxis,v=e.x,y=e.y,x=[];v&&i(v)&&x.push(\"x\"),y&&i(y)&&x.push(\"y\"),x.length&&h(e,m,g,\"a\",\"b\",x);var b=e._a=e._a||e.a,_=e._b=e._b||e.b;v=e._x||e.x,y=e._y||e.y;var w={};if(e._cheater){var T=\"index\"===m.cheatertype?b.length:b,k=\"index\"===g.cheatertype?_.length:_;v=a(T,k,e.cheaterslope)}e._x=v=u(v),e._y=y=u(y),f(v,b,_),f(y,b,_),p(e),e.setScale();var M=o(v),A=o(y),S=.5*(M[1]-M[0]),E=.5*(M[1]+M[0]),L=.5*(A[1]-A[0]),C=.5*(A[1]+A[0]);return M=[E-1.3*S,E+1.3*S],A=[C-1.3*L,C+1.3*L],e._extremes[r._id]=n.findExtremes(r,M,{padded:!0}),e._extremes[d._id]=n.findExtremes(d,A,{padded:!0}),s(e,\"a\",\"b\"),s(e,\"b\",\"a\"),l(e,m),l(e,g),w.clipsegments=c(e._xctrl,e._yctrl,m,g),w.x=v,w.y=y,w.a=b,w.b=_,[w]}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../heatmap/clean_2d_array\":1083,\"../heatmap/convert_column_xyz\":1085,\"./array_minmax\":979,\"./calc_clippath\":985,\"./calc_gridlines\":986,\"./calc_labels\":987,\"./cheater_basis\":989,\"./set_convert\":1002,\"./smooth_fill_2d_array\":1003}],985:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a,o,s=[],l=!!r.smoothing,c=!!n.smoothing,u=t[0].length-1,f=t.length-1;for(i=0,a=[],o=[];i<=u;i++)a[i]=t[0][i],o[i]=e[0][i];for(s.push({x:a,y:o,bicubic:l}),i=0,a=[],o=[];i<=f;i++)a[i]=t[i][u],o[i]=e[i][u];for(s.push({x:a,y:o,bicubic:c}),i=u,a=[],o=[];i>=0;i--)a[u-i]=t[f][i],o[u-i]=e[f][i];for(s.push({x:a,y:o,bicubic:l}),i=f,a=[],o=[];i>=0;i--)a[f-i]=t[i][0],o[f-i]=e[i][0];return s.push({x:a,y:o,bicubic:c}),s}},{}],986:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../lib/extend\").extendFlat;e.exports=function(t,e,r){var a,o,s,l,c,u,f,h,p,d,m,g,v,y,x=t[\"_\"+e],b=t[e+\"axis\"],_=b._gridlines=[],w=b._minorgridlines=[],T=b._boundarylines=[],k=t[\"_\"+r],M=t[r+\"axis\"];\"array\"===b.tickmode&&(b.tickvals=x.slice());var A=t._xctrl,S=t._yctrl,E=A[0].length,L=A.length,C=t._a.length,P=t._b.length;n.prepTicks(b),\"array\"===b.tickmode&&delete b.tickvals;var I=b.smoothing?3:1;function O(n){var i,a,o,s,l,c,u,f,p,d,m,g,v=[],y=[],x={};if(\"b\"===e)for(a=t.b2j(n),o=Math.floor(Math.max(0,Math.min(P-2,a))),s=a-o,x.length=P,x.crossLength=C,x.xy=function(e){return t.evalxy([],e,a)},x.dxy=function(e,r){return t.dxydi([],e,o,r,s)},i=0;i<C;i++)c=Math.min(C-2,i),u=i-c,f=t.evalxy([],i,a),M.smoothing&&i>0&&(p=t.dxydi([],i-1,o,0,s),v.push(l[0]+p[0]/3),y.push(l[1]+p[1]/3),d=t.dxydi([],i-1,o,1,s),v.push(f[0]-d[0]/3),y.push(f[1]-d[1]/3)),v.push(f[0]),y.push(f[1]),l=f;else for(i=t.a2i(n),c=Math.floor(Math.max(0,Math.min(C-2,i))),u=i-c,x.length=C,x.crossLength=P,x.xy=function(e){return t.evalxy([],i,e)},x.dxy=function(e,r){return t.dxydj([],c,e,u,r)},a=0;a<P;a++)o=Math.min(P-2,a),s=a-o,f=t.evalxy([],i,a),M.smoothing&&a>0&&(m=t.dxydj([],c,a-1,u,0),v.push(l[0]+m[0]/3),y.push(l[1]+m[1]/3),g=t.dxydj([],c,a-1,u,1),v.push(f[0]-g[0]/3),y.push(f[1]-g[1]/3)),v.push(f[0]),y.push(f[1]),l=f;return x.axisLetter=e,x.axis=b,x.crossAxis=M,x.value=n,x.constvar=r,x.index=h,x.x=v,x.y=y,x.smoothing=M.smoothing,x}function z(n){var i,a,o,s,l,c=[],u=[],f={};if(f.length=x.length,f.crossLength=k.length,\"b\"===e)for(o=Math.max(0,Math.min(P-2,n)),l=Math.min(1,Math.max(0,n-o)),f.xy=function(e){return t.evalxy([],e,n)},f.dxy=function(e,r){return t.dxydi([],e,o,r,l)},i=0;i<E;i++)c[i]=A[n*I][i],u[i]=S[n*I][i];else for(a=Math.max(0,Math.min(C-2,n)),s=Math.min(1,Math.max(0,n-a)),f.xy=function(e){return t.evalxy([],n,e)},f.dxy=function(e,r){return t.dxydj([],a,e,s,r)},i=0;i<L;i++)c[i]=A[i][n*I],u[i]=S[i][n*I];return f.axisLetter=e,f.axis=b,f.crossAxis=M,f.value=x[n],f.constvar=r,f.index=n,f.x=c,f.y=u,f.smoothing=M.smoothing,f}if(\"array\"===b.tickmode){for(l=5e-15,u=(c=[Math.floor((x.length-1-b.arraytick0)/b.arraydtick*(1+l)),Math.ceil(-b.arraytick0/b.arraydtick/(1+l))].sort((function(t,e){return t-e})))[0]-1,f=c[1]+1,h=u;h<f;h++)(o=b.arraytick0+b.arraydtick*h)<0||o>x.length-1||_.push(i(z(o),{color:b.gridcolor,width:b.gridwidth}));for(h=u;h<f;h++)if(s=b.arraytick0+b.arraydtick*h,m=Math.min(s+b.arraydtick,x.length-1),!(s<0||s>x.length-1||m<0||m>x.length-1))for(g=x[s],v=x[m],a=0;a<b.minorgridcount;a++)(y=m-s)<=0||(d=g+(v-g)*(a+1)/(b.minorgridcount+1)*(b.arraydtick/y))<x[0]||d>x[x.length-1]||w.push(i(O(d),{color:b.minorgridcolor,width:b.minorgridwidth}));b.startline&&T.push(i(z(0),{color:b.startlinecolor,width:b.startlinewidth})),b.endline&&T.push(i(z(x.length-1),{color:b.endlinecolor,width:b.endlinewidth}))}else{for(l=5e-15,u=(c=[Math.floor((x[x.length-1]-b.tick0)/b.dtick*(1+l)),Math.ceil((x[0]-b.tick0)/b.dtick/(1+l))].sort((function(t,e){return t-e})))[0],f=c[1],h=u;h<=f;h++)p=b.tick0+b.dtick*h,_.push(i(O(p),{color:b.gridcolor,width:b.gridwidth}));for(h=u-1;h<f+1;h++)for(p=b.tick0+b.dtick*h,a=0;a<b.minorgridcount;a++)(d=p+b.dtick*(a+1)/(b.minorgridcount+1))<x[0]||d>x[x.length-1]||w.push(i(O(d),{color:b.minorgridcolor,width:b.minorgridwidth}));b.startline&&T.push(i(O(x[0]),{color:b.startlinecolor,width:b.startlinewidth})),b.endline&&T.push(i(O(x[x.length-1]),{color:b.endlinecolor,width:b.endlinewidth}))}}},{\"../../lib/extend\":789,\"../../plots/cartesian/axes\":849}],987:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../lib/extend\").extendFlat;e.exports=function(t,e){var r,a,o,s=e._labels=[],l=e._gridlines;for(r=0;r<l.length;r++)o=l[r],-1!==[\"start\",\"both\"].indexOf(e.showticklabels)&&(a=n.tickText(e,o.value),i(a,{prefix:void 0,suffix:void 0,endAnchor:!0,xy:o.xy(0),dxy:o.dxy(0,0),axis:o.axis,length:o.crossAxis.length,font:o.axis.tickfont,isFirst:0===r,isLast:r===l.length-1}),s.push(a)),-1!==[\"end\",\"both\"].indexOf(e.showticklabels)&&(a=n.tickText(e,o.value),i(a,{endAnchor:!1,xy:o.xy(o.crossLength-1),dxy:o.dxy(o.crossLength-2,1),axis:o.axis,length:o.crossAxis.length,font:o.axis.tickfont,isFirst:0===r,isLast:r===l.length-1}),s.push(a))}},{\"../../lib/extend\":789,\"../../plots/cartesian/axes\":849}],988:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i=t[0]-e[0],a=t[1]-e[1],o=r[0]-e[0],s=r[1]-e[1],l=Math.pow(i*i+a*a,.25),c=Math.pow(o*o+s*s,.25),u=(c*c*i-l*l*o)*n,f=(c*c*a-l*l*s)*n,h=c*(l+c)*3,p=l*(l+c)*3;return[[e[0]+(h&&u/h),e[1]+(h&&f/h)],[e[0]-(p&&u/p),e[1]-(p&&f/p)]]}},{}],989:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t,e,r){var i,a,o,s,l,c,u=[],f=n(t)?t.length:t,h=n(e)?e.length:e,p=n(t)?t:null,d=n(e)?e:null;p&&(o=(p.length-1)/(p[p.length-1]-p[0])/(f-1)),d&&(s=(d.length-1)/(d[d.length-1]-d[0])/(h-1));var m=1/0,g=-1/0;for(a=0;a<h;a++)for(u[a]=[],l=d?(d[a]-d[0])*s:a/(h-1),i=0;i<f;i++)c=(p?(p[i]-p[0])*o:i/(f-1))-l*r,m=Math.min(c,m),g=Math.max(c,g),u[a][i]=c;var v=1/(g-m),y=-m*v;for(a=0;a<h;a++)for(i=0;i<f;i++)u[a][i]=v*u[a][i]+y;return u}},{\"../../lib\":799}],990:[function(t,e,r){\"use strict\";var n=t(\"./catmull_rom\"),i=t(\"../../lib\").ensureArray;function a(t,e,r){var n=-.5*r[0]+1.5*e[0],i=-.5*r[1]+1.5*e[1];return[(2*n+t[0])/3,(2*i+t[1])/3]}e.exports=function(t,e,r,o,s,l){var c,u,f,h,p,d,m,g,v,y,x=r[0].length,b=r.length,_=s?3*x-2:x,w=l?3*b-2:b;for(t=i(t,w),e=i(e,w),f=0;f<w;f++)t[f]=i(t[f],_),e[f]=i(e[f],_);for(u=0,h=0;u<b;u++,h+=l?3:1)for(p=t[h],d=e[h],m=r[u],g=o[u],c=0,f=0;c<x;c++,f+=s?3:1)p[f]=m[c],d[f]=g[c];if(s)for(u=0,h=0;u<b;u++,h+=l?3:1){for(c=1,f=3;c<x-1;c++,f+=3)v=n([r[u][c-1],o[u][c-1]],[r[u][c],o[u][c]],[r[u][c+1],o[u][c+1]],s),t[h][f-1]=v[0][0],e[h][f-1]=v[0][1],t[h][f+1]=v[1][0],e[h][f+1]=v[1][1];y=a([t[h][0],e[h][0]],[t[h][2],e[h][2]],[t[h][3],e[h][3]]),t[h][1]=y[0],e[h][1]=y[1],y=a([t[h][_-1],e[h][_-1]],[t[h][_-3],e[h][_-3]],[t[h][_-4],e[h][_-4]]),t[h][_-2]=y[0],e[h][_-2]=y[1]}if(l)for(f=0;f<_;f++){for(h=3;h<w-3;h+=3)v=n([t[h-3][f],e[h-3][f]],[t[h][f],e[h][f]],[t[h+3][f],e[h+3][f]],l),t[h-1][f]=v[0][0],e[h-1][f]=v[0][1],t[h+1][f]=v[1][0],e[h+1][f]=v[1][1];y=a([t[0][f],e[0][f]],[t[2][f],e[2][f]],[t[3][f],e[3][f]]),t[1][f]=y[0],e[1][f]=y[1],y=a([t[w-1][f],e[w-1][f]],[t[w-3][f],e[w-3][f]],[t[w-4][f],e[w-4][f]]),t[w-2][f]=y[0],e[w-2][f]=y[1]}if(s&&l)for(h=1;h<w;h+=(h+1)%3==0?2:1){for(f=3;f<_-3;f+=3)v=n([t[h][f-3],e[h][f-3]],[t[h][f],e[h][f]],[t[h][f+3],e[h][f+3]],s),t[h][f-1]=.5*(t[h][f-1]+v[0][0]),e[h][f-1]=.5*(e[h][f-1]+v[0][1]),t[h][f+1]=.5*(t[h][f+1]+v[1][0]),e[h][f+1]=.5*(e[h][f+1]+v[1][1]);y=a([t[h][0],e[h][0]],[t[h][2],e[h][2]],[t[h][3],e[h][3]]),t[h][1]=.5*(t[h][1]+y[0]),e[h][1]=.5*(e[h][1]+y[1]),y=a([t[h][_-1],e[h][_-1]],[t[h][_-3],e[h][_-3]],[t[h][_-4],e[h][_-4]]),t[h][_-2]=.5*(t[h][_-2]+y[0]),e[h][_-2]=.5*(e[h][_-2]+y[1])}return[t,e]}},{\"../../lib\":799,\"./catmull_rom\":988}],991:[function(t,e,r){\"use strict\";e.exports={RELATIVE_CULL_TOLERANCE:1e-6}},{}],992:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return e&&r?function(e,r,n,i,a){var o,s,l,c,u,f;e||(e=[]),r*=3,n*=3;var h=i*i,p=1-i,d=p*p,m=p*i*2,g=-3*d,v=3*(d-m),y=3*(m-h),x=3*h,b=a*a,_=b*a,w=1-a,T=w*w,k=T*w;for(f=0;f<t.length;f++)o=g*(u=t[f])[n][r]+v*u[n][r+1]+y*u[n][r+2]+x*u[n][r+3],s=g*u[n+1][r]+v*u[n+1][r+1]+y*u[n+1][r+2]+x*u[n+1][r+3],l=g*u[n+2][r]+v*u[n+2][r+1]+y*u[n+2][r+2]+x*u[n+2][r+3],c=g*u[n+3][r]+v*u[n+3][r+1]+y*u[n+3][r+2]+x*u[n+3][r+3],e[f]=k*o+3*(T*a*s+w*b*l)+_*c;return e}:e?function(e,r,n,i,a){var o,s,l,c;e||(e=[]),r*=3;var u=i*i,f=1-i,h=f*f,p=f*i*2,d=-3*h,m=3*(h-p),g=3*(p-u),v=3*u,y=1-a;for(l=0;l<t.length;l++)o=d*(c=t[l])[n][r]+m*c[n][r+1]+g*c[n][r+2]+v*c[n][r+3],s=d*c[n+1][r]+m*c[n+1][r+1]+g*c[n+1][r+2]+v*c[n+1][r+3],e[l]=y*o+a*s;return e}:r?function(e,r,n,i,a){var o,s,l,c,u,f;e||(e=[]),n*=3;var h=a*a,p=h*a,d=1-a,m=d*d,g=m*d;for(u=0;u<t.length;u++)o=(f=t[u])[n][r+1]-f[n][r],s=f[n+1][r+1]-f[n+1][r],l=f[n+2][r+1]-f[n+2][r],c=f[n+3][r+1]-f[n+3][r],e[u]=g*o+3*(m*a*s+d*h*l)+p*c;return e}:function(e,r,n,i,a){var o,s,l,c;e||(e=[]);var u=1-a;for(l=0;l<t.length;l++)o=(c=t[l])[n][r+1]-c[n][r],s=c[n+1][r+1]-c[n+1][r],e[l]=u*o+a*s;return e}}},{}],993:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return e&&r?function(e,r,n,i,a){var o,s,l,c,u,f;e||(e=[]),r*=3,n*=3;var h=i*i,p=h*i,d=1-i,m=d*d,g=m*d,v=a*a,y=1-a,x=y*y,b=y*a*2,_=-3*x,w=3*(x-b),T=3*(b-v),k=3*v;for(f=0;f<t.length;f++)o=_*(u=t[f])[n][r]+w*u[n+1][r]+T*u[n+2][r]+k*u[n+3][r],s=_*u[n][r+1]+w*u[n+1][r+1]+T*u[n+2][r+1]+k*u[n+3][r+1],l=_*u[n][r+2]+w*u[n+1][r+2]+T*u[n+2][r+2]+k*u[n+3][r+2],c=_*u[n][r+3]+w*u[n+1][r+3]+T*u[n+2][r+3]+k*u[n+3][r+3],e[f]=g*o+3*(m*i*s+d*h*l)+p*c;return e}:e?function(e,r,n,i,a){var o,s,l,c,u,f;e||(e=[]),r*=3;var h=a*a,p=h*a,d=1-a,m=d*d,g=m*d;for(u=0;u<t.length;u++)o=(f=t[u])[n+1][r]-f[n][r],s=f[n+1][r+1]-f[n][r+1],l=f[n+1][r+2]-f[n][r+2],c=f[n+1][r+3]-f[n][r+3],e[u]=g*o+3*(m*a*s+d*h*l)+p*c;return e}:r?function(e,r,n,i,a){var o,s,l,c;e||(e=[]),n*=3;var u=1-i,f=a*a,h=1-a,p=h*h,d=h*a*2,m=-3*p,g=3*(p-d),v=3*(d-f),y=3*f;for(l=0;l<t.length;l++)o=m*(c=t[l])[n][r]+g*c[n+1][r]+v*c[n+2][r]+y*c[n+3][r],s=m*c[n][r+1]+g*c[n+1][r+1]+v*c[n+2][r+1]+y*c[n+3][r+1],e[l]=u*o+i*s;return e}:function(e,r,n,i,a){var o,s,l,c;e||(e=[]);var u=1-i;for(l=0;l<t.length;l++)o=(c=t[l])[n+1][r]-c[n][r],s=c[n+1][r+1]-c[n][r+1],e[l]=u*o+i*s;return e}}},{}],994:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=e-2,o=r-2;return n&&i?function(e,r,n){var i,s,l,c,u,f;e||(e=[]);var h=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-h)),m=Math.max(0,Math.min(1,n-p));h*=3,p*=3;var g=d*d,v=g*d,y=1-d,x=y*y,b=x*y,_=m*m,w=_*m,T=1-m,k=T*T,M=k*T;for(f=0;f<t.length;f++)i=b*(u=t[f])[p][h]+3*(x*d*u[p][h+1]+y*g*u[p][h+2])+v*u[p][h+3],s=b*u[p+1][h]+3*(x*d*u[p+1][h+1]+y*g*u[p+1][h+2])+v*u[p+1][h+3],l=b*u[p+2][h]+3*(x*d*u[p+2][h+1]+y*g*u[p+2][h+2])+v*u[p+2][h+3],c=b*u[p+3][h]+3*(x*d*u[p+3][h+1]+y*g*u[p+3][h+2])+v*u[p+3][h+3],e[f]=M*i+3*(k*m*s+T*_*l)+w*c;return e}:n?function(e,r,n){e||(e=[]);var i,s,l,c,u,f,h=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-h)),m=Math.max(0,Math.min(1,n-p));h*=3;var g=d*d,v=g*d,y=1-d,x=y*y,b=x*y,_=1-m;for(u=0;u<t.length;u++)i=_*(f=t[u])[p][h]+m*f[p+1][h],s=_*f[p][h+1]+m*f[p+1][h+1],l=_*f[p][h+2]+m*f[p+1][h+1],c=_*f[p][h+3]+m*f[p+1][h+1],e[u]=b*i+3*(x*d*s+y*g*l)+v*c;return e}:i?function(e,r,n){e||(e=[]);var i,s,l,c,u,f,h=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-h)),m=Math.max(0,Math.min(1,n-p));p*=3;var g=m*m,v=g*m,y=1-m,x=y*y,b=x*y,_=1-d;for(u=0;u<t.length;u++)i=_*(f=t[u])[p][h]+d*f[p][h+1],s=_*f[p+1][h]+d*f[p+1][h+1],l=_*f[p+2][h]+d*f[p+2][h+1],c=_*f[p+3][h]+d*f[p+3][h+1],e[u]=b*i+3*(x*m*s+y*g*l)+v*c;return e}:function(e,r,n){e||(e=[]);var i,s,l,c,u=Math.max(0,Math.min(Math.floor(r),a)),f=Math.max(0,Math.min(Math.floor(n),o)),h=Math.max(0,Math.min(1,r-u)),p=Math.max(0,Math.min(1,n-f)),d=1-p,m=1-h;for(l=0;l<t.length;l++)i=m*(c=t[l])[f][u]+h*c[f][u+1],s=m*c[f+1][u]+h*c[f+1][u+1],e[l]=d*i+p*s;return e}}},{}],995:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./xy_defaults\"),a=t(\"./ab_defaults\"),o=t(\"./attributes\"),s=t(\"../../components/color/attributes\");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,o,r,i)}e._clipPathId=\"clip\"+e.uid+\"carpet\";var u=c(\"color\",s.defaultLine);(n.coerceFont(c,\"font\"),c(\"carpet\"),a(t,e,l,c,u),e.a&&e.b)?(e.a.length<3&&(e.aaxis.smoothing=0),e.b.length<3&&(e.baxis.smoothing=0),i(t,e,c)||(e.visible=!1),e._cheater&&c(\"cheaterslope\")):e.visible=!1}},{\"../../components/color/attributes\":661,\"../../lib\":799,\"./ab_defaults\":978,\"./attributes\":980,\"./xy_defaults\":1004}],996:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),plot:t(\"./plot\"),calc:t(\"./calc\"),animatable:!0,isContainer:!0,moduleType:\"trace\",name:\"carpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"carpet\",\"carpetAxis\",\"notLegendIsolatable\",\"noMultiCategory\",\"noHover\",\"noSortingByValue\"],meta:{}}},{\"../../plots/cartesian\":863,\"./attributes\":980,\"./calc\":984,\"./defaults\":995,\"./plot\":1001}],997:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r,n=t._fullData.length,i=0;i<n;i++){var a=t._fullData[i];if(a.index!==e.index&&(\"carpet\"===a.type&&(r||(r=a),a.carpet===e.carpet)))return a}return r}},{}],998:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){if(0===t.length)return\"\";var n,i=[],a=r?3:1;for(n=0;n<t.length;n+=a)i.push(t[n]+\",\"+e[n]),r&&n<t.length-a&&(i.push(\"C\"),i.push([t[n+1]+\",\"+e[n+1],t[n+2]+\",\"+e[n+2]+\" \"].join(\" \")));return i.join(r?\"\":\"L\")}},{}],999:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t,e,r){var i;for(n(t)?t.length>e.length&&(t=t.slice(0,e.length)):t=[],i=0;i<e.length;i++)t[i]=r(e[i]);return t}},{\"../../lib\":799}],1e3:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i,a){var o=i[0]*t.dpdx(e),s=i[1]*t.dpdy(r),l=1,c=1;if(a){var u=Math.sqrt(i[0]*i[0]+i[1]*i[1]),f=Math.sqrt(a[0]*a[0]+a[1]*a[1]),h=(i[0]*a[0]+i[1]*a[1])/u/f;c=Math.max(0,h)}var p=180*Math.atan2(s,o)/Math.PI;return p<-90?(p+=180,l=-l):p>90&&(p-=180,l=-l),{angle:p,flip:l,p:t.c2p(n,e,r),offsetMultplier:c}}},{}],1001:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"./map_1d_array\"),o=t(\"./makepath\"),s=t(\"./orient_text\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../lib\"),u=c.strRotate,f=c.strTranslate,h=t(\"../../constants/alignment\");function p(t,e,r,i,s,l){var c=\"const-\"+s+\"-lines\",u=r.selectAll(\".\"+c).data(l);u.enter().append(\"path\").classed(c,!0).style(\"vector-effect\",\"non-scaling-stroke\"),u.each((function(r){var i=r,s=i.x,l=i.y,c=a([],s,t.c2p),u=a([],l,e.c2p),f=\"M\"+o(c,u,i.smoothing);n.select(this).attr(\"d\",f).style(\"stroke-width\",i.width).style(\"stroke\",i.color).style(\"fill\",\"none\")})),u.exit().remove()}function d(t,e,r,a,o,c,h,p){var d=c.selectAll(\"text.\"+p).data(h);d.enter().append(\"text\").classed(p,!0);var m=0,g={};return d.each((function(o,c){var h;if(\"auto\"===o.axis.tickangle)h=s(a,e,r,o.xy,o.dxy);else{var p=(o.axis.tickangle+180)*Math.PI/180;h=s(a,e,r,o.xy,[Math.cos(p),Math.sin(p)])}c||(g={angle:h.angle,flip:h.flip});var d=(o.endAnchor?-1:1)*h.flip,v=n.select(this).attr({\"text-anchor\":d>0?\"start\":\"end\",\"data-notex\":1}).call(i.font,o.font).text(o.text).call(l.convertToTspans,t),y=i.bBox(this);v.attr(\"transform\",f(h.p[0],h.p[1])+u(h.angle)+f(o.axis.labelpadding*d,.3*y.height)),m=Math.max(m,y.width+o.axis.labelpadding)})),d.exit().remove(),g.maxExtent=m,g}e.exports=function(t,e,r,i){var l=e.xaxis,u=e.yaxis,f=t._fullLayout._clips;c.makeTraceGroups(i,r,\"trace\").each((function(e){var r=n.select(this),i=e[0],h=i.trace,m=h.aaxis,g=h.baxis,y=c.ensureSingle(r,\"g\",\"minorlayer\"),x=c.ensureSingle(r,\"g\",\"majorlayer\"),b=c.ensureSingle(r,\"g\",\"boundarylayer\"),_=c.ensureSingle(r,\"g\",\"labellayer\");r.style(\"opacity\",h.opacity),p(l,u,x,m,\"a\",m._gridlines),p(l,u,x,g,\"b\",g._gridlines),p(l,u,y,m,\"a\",m._minorgridlines),p(l,u,y,g,\"b\",g._minorgridlines),p(l,u,b,m,\"a-boundary\",m._boundarylines),p(l,u,b,g,\"b-boundary\",g._boundarylines);var w=d(t,l,u,h,i,_,m._labels,\"a-label\"),T=d(t,l,u,h,i,_,g._labels,\"b-label\");!function(t,e,r,n,i,a,o,l){var u,f,h,p,d=c.aggNums(Math.min,null,r.a),m=c.aggNums(Math.max,null,r.a),g=c.aggNums(Math.min,null,r.b),y=c.aggNums(Math.max,null,r.b);u=.5*(d+m),f=g,h=r.ab2xy(u,f,!0),p=r.dxyda_rough(u,f),void 0===o.angle&&c.extendFlat(o,s(r,i,a,h,r.dxydb_rough(u,f)));v(t,e,r,n,h,p,r.aaxis,i,a,o,\"a-title\"),u=d,f=.5*(g+y),h=r.ab2xy(u,f,!0),p=r.dxydb_rough(u,f),void 0===l.angle&&c.extendFlat(l,s(r,i,a,h,r.dxyda_rough(u,f)));v(t,e,r,n,h,p,r.baxis,i,a,l,\"b-title\")}(t,_,h,i,l,u,w,T),function(t,e,r,n,i){var s,l,u,f,h=r.select(\"#\"+t._clipPathId);h.size()||(h=r.append(\"clipPath\").classed(\"carpetclip\",!0));var p=c.ensureSingle(h,\"path\",\"carpetboundary\"),d=e.clipsegments,m=[];for(f=0;f<d.length;f++)s=d[f],l=a([],s.x,n.c2p),u=a([],s.y,i.c2p),m.push(o(l,u,s.bicubic));var g=\"M\"+m.join(\"L\")+\"Z\";h.attr(\"id\",t._clipPathId),p.attr(\"d\",g)}(h,i,f,l,u)}))};var m=h.LINE_SPACING,g=(1-h.MID_SHIFT)/m+1;function v(t,e,r,a,o,c,h,p,d,v,y){var x=[];h.title.text&&x.push(h.title.text);var b=e.selectAll(\"text.\"+y).data(x),_=v.maxExtent;b.enter().append(\"text\").classed(y,!0),b.each((function(){var e=s(r,p,d,o,c);-1===[\"start\",\"both\"].indexOf(h.showticklabels)&&(_=0);var a=h.title.font.size;_+=a+h.title.offset;var y=(v.angle+(v.flip<0?180:0)-e.angle+450)%360,x=y>90&&y<270,b=n.select(this);b.text(h.title.text).call(l.convertToTspans,t),x&&(_=(-l.lineCount(b)+g)*m*a-_),b.attr(\"transform\",f(e.p[0],e.p[1])+u(e.angle)+f(0,_)).attr(\"text-anchor\",\"middle\").call(i.font,h.title.font)})),b.exit().remove()}},{\"../../components/drawing\":684,\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"./makepath\":998,\"./map_1d_array\":999,\"./orient_text\":1e3,\"@plotly/d3\":58}],1002:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib/search\").findBin,a=t(\"./compute_control_points\"),o=t(\"./create_spline_evaluator\"),s=t(\"./create_i_derivative_evaluator\"),l=t(\"./create_j_derivative_evaluator\");e.exports=function(t){var e=t._a,r=t._b,c=e.length,u=r.length,f=t.aaxis,h=t.baxis,p=e[0],d=e[c-1],m=r[0],g=r[u-1],v=e[e.length-1]-e[0],y=r[r.length-1]-r[0],x=v*n.RELATIVE_CULL_TOLERANCE,b=y*n.RELATIVE_CULL_TOLERANCE;p-=x,d+=x,m-=b,g+=b,t.isVisible=function(t,e){return t>p&&t<d&&e>m&&e<g},t.isOccluded=function(t,e){return t<p||t>d||e<m||e>g},t.setScale=function(){var e=t._x,r=t._y,n=a(t._xctrl,t._yctrl,e,r,f.smoothing,h.smoothing);t._xctrl=n[0],t._yctrl=n[1],t.evalxy=o([t._xctrl,t._yctrl],c,u,f.smoothing,h.smoothing),t.dxydi=s([t._xctrl,t._yctrl],f.smoothing,h.smoothing),t.dxydj=l([t._xctrl,t._yctrl],f.smoothing,h.smoothing)},t.i2a=function(t){var r=Math.max(0,Math.floor(t[0]),c-2),n=t[0]-r;return(1-n)*e[r]+n*e[r+1]},t.j2b=function(t){var e=Math.max(0,Math.floor(t[1]),c-2),n=t[1]-e;return(1-n)*r[e]+n*r[e+1]},t.ij2ab=function(e){return[t.i2a(e[0]),t.j2b(e[1])]},t.a2i=function(t){var r=Math.max(0,Math.min(i(t,e),c-2)),n=e[r],a=e[r+1];return Math.max(0,Math.min(c-1,r+(t-n)/(a-n)))},t.b2j=function(t){var e=Math.max(0,Math.min(i(t,r),u-2)),n=r[e],a=r[e+1];return Math.max(0,Math.min(u-1,e+(t-n)/(a-n)))},t.ab2ij=function(e){return[t.a2i(e[0]),t.b2j(e[1])]},t.i2c=function(e,r){return t.evalxy([],e,r)},t.ab2xy=function(n,i,a){if(!a&&(n<e[0]||n>e[c-1]|i<r[0]||i>r[u-1]))return[!1,!1];var o=t.a2i(n),s=t.b2j(i),l=t.evalxy([],o,s);if(a){var f,h,p,d,m=0,g=0,v=[];n<e[0]?(f=0,h=0,m=(n-e[0])/(e[1]-e[0])):n>e[c-1]?(f=c-2,h=1,m=(n-e[c-1])/(e[c-1]-e[c-2])):h=o-(f=Math.max(0,Math.min(c-2,Math.floor(o)))),i<r[0]?(p=0,d=0,g=(i-r[0])/(r[1]-r[0])):i>r[u-1]?(p=u-2,d=1,g=(i-r[u-1])/(r[u-1]-r[u-2])):d=s-(p=Math.max(0,Math.min(u-2,Math.floor(s)))),m&&(t.dxydi(v,f,p,h,d),l[0]+=v[0]*m,l[1]+=v[1]*m),g&&(t.dxydj(v,f,p,h,d),l[0]+=v[0]*g,l[1]+=v[1]*g)}return l},t.c2p=function(t,e,r){return[e.c2p(t[0]),r.c2p(t[1])]},t.p2x=function(t,e,r){return[e.p2c(t[0]),r.p2c(t[1])]},t.dadi=function(t){var r=Math.max(0,Math.min(e.length-2,t));return e[r+1]-e[r]},t.dbdj=function(t){var e=Math.max(0,Math.min(r.length-2,t));return r[e+1]-r[e]},t.dxyda=function(e,r,n,i){var a=t.dxydi(null,e,r,n,i),o=t.dadi(e,n);return[a[0]/o,a[1]/o]},t.dxydb=function(e,r,n,i){var a=t.dxydj(null,e,r,n,i),o=t.dbdj(r,i);return[a[0]/o,a[1]/o]},t.dxyda_rough=function(e,r,n){var i=v*(n||.1),a=t.ab2xy(e+i,r,!0),o=t.ab2xy(e-i,r,!0);return[.5*(a[0]-o[0])/i,.5*(a[1]-o[1])/i]},t.dxydb_rough=function(e,r,n){var i=y*(n||.1),a=t.ab2xy(e,r+i,!0),o=t.ab2xy(e,r-i,!0);return[.5*(a[0]-o[0])/i,.5*(a[1]-o[1])/i]},t.dpdx=function(t){return t._m},t.dpdy=function(t){return t._m}}},{\"../../lib/search\":819,\"./compute_control_points\":990,\"./constants\":991,\"./create_i_derivative_evaluator\":992,\"./create_j_derivative_evaluator\":993,\"./create_spline_evaluator\":994}],1003:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e,r){var i,a,o,s=[],l=[],c=t[0].length,u=t.length;function f(e,r){var n,i=0,a=0;return e>0&&void 0!==(n=t[r][e-1])&&(a++,i+=n),e<c-1&&void 0!==(n=t[r][e+1])&&(a++,i+=n),r>0&&void 0!==(n=t[r-1][e])&&(a++,i+=n),r<u-1&&void 0!==(n=t[r+1][e])&&(a++,i+=n),i/Math.max(1,a)}var h,p,d,m,g,v,y,x,b,_,w,T=0;for(i=0;i<c;i++)for(a=0;a<u;a++)void 0===t[a][i]&&(s.push(i),l.push(a),t[a][i]=f(i,a)),T=Math.max(T,Math.abs(t[a][i]));if(!s.length)return t;var k=0,M=0,A=s.length;do{for(k=0,o=0;o<A;o++){i=s[o],a=l[o];var S,E,L,C,P,I,O=0,z=0;0===i?(L=e[P=Math.min(c-1,2)],C=e[1],S=t[a][P],z+=(E=t[a][1])+(E-S)*(e[0]-C)/(C-L),O++):i===c-1&&(L=e[P=Math.max(0,c-3)],C=e[c-2],S=t[a][P],z+=(E=t[a][c-2])+(E-S)*(e[c-1]-C)/(C-L),O++),(0===i||i===c-1)&&a>0&&a<u-1&&(h=r[a+1]-r[a],z+=((p=r[a]-r[a-1])*t[a+1][i]+h*t[a-1][i])/(p+h),O++),0===a?(L=r[I=Math.min(u-1,2)],C=r[1],S=t[I][i],z+=(E=t[1][i])+(E-S)*(r[0]-C)/(C-L),O++):a===u-1&&(L=r[I=Math.max(0,u-3)],C=r[u-2],S=t[I][i],z+=(E=t[u-2][i])+(E-S)*(r[u-1]-C)/(C-L),O++),(0===a||a===u-1)&&i>0&&i<c-1&&(h=e[i+1]-e[i],z+=((p=e[i]-e[i-1])*t[a][i+1]+h*t[a][i-1])/(p+h),O++),O?z/=O:(d=e[i+1]-e[i],m=e[i]-e[i-1],x=(g=r[a+1]-r[a])*(v=r[a]-r[a-1])*(g+v),z=((y=d*m*(d+m))*(v*t[a+1][i]+g*t[a-1][i])+x*(m*t[a][i+1]+d*t[a][i-1]))/(x*(m+d)+y*(v+g))),k+=(_=(b=z-t[a][i])/T)*_,w=O?0:.85,t[a][i]+=b*(1+w)}k=Math.sqrt(k)}while(M++<100&&k>1e-5);return n.log(\"Smoother converged to\",k,\"after\",M,\"iterations\"),t}},{\"../../lib\":799}],1004:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArray1D;e.exports=function(t,e,r){var i=r(\"x\"),a=i&&i.length,o=r(\"y\"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},{\"../../lib\":799}],1005:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../scattergeo/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/color/attributes\").defaultLine,l=t(\"../../lib/extend\").extendFlat,c=i.marker.line;e.exports=l({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:i.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:i.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:l({},o.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/color/attributes\":661,\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/template_attributes\":922,\"../scattergeo/attributes\":1256}],1006:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../components/colorscale/calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\");function l(t){return t&&\"string\"==typeof t}e.exports=function(t,e){var r,c=e._length,u=new Array(c);r=e.geojson?function(t){return l(t)||n(t)}:l;for(var f=0;f<c;f++){var h=u[f]={},p=e.locations[f],d=e.z[f];r(p)&&n(d)?(h.loc=p,h.z=d):(h.loc=null,h.z=i),h.index=f}return o(u,e),a(t,e,{vals:e.z,containerStr:\"\",cLetter:\"z\"}),s(u,e),u}},{\"../../components/colorscale/calc\":670,\"../../constants/numerical\":775,\"../scatter/arrays_to_calcdata\":1213,\"../scatter/calc_selection\":1216,\"fast-isnumeric\":245}],1007:[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\");if(l&&l.length&&n.isArrayOrTypedArray(c)&&c.length){e._length=Math.min(l.length,c.length);var u,f=s(\"geojson\");(\"string\"==typeof f&&\"\"!==f||n.isPlainObject(f))&&(u=\"geojson-id\"),\"geojson-id\"===s(\"locationmode\",u)&&s(\"featureidkey\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)}else e.visible=!1}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"./attributes\":1005}],1008:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.location=e.location,t.z=e.z;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t.ct=a.ct,t}},{}],1009:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"./attributes\"),a=t(\"../../lib\").fillText;e.exports=function(t,e,r){var o,s,l,c,u=t.cd,f=u[0].trace,h=t.subplot,p=[e,r],d=[e+360,r];for(s=0;s<u.length;s++)if(c=!1,(o=u[s])._polygons){for(l=0;l<o._polygons.length;l++)o._polygons[l].contains(p)&&(c=!c),o._polygons[l].contains(d)&&(c=!c);if(c)break}if(c&&o)return t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(h.mockAxis,h.mockAxis.c2l(o.z),\"hover\").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(e.hovertemplate)return;var n=r.hi||e.hoverinfo,o=String(r.loc),s=\"all\"===n?i.hoverinfo.flags:n.split(\"+\"),l=-1!==s.indexOf(\"name\"),c=-1!==s.indexOf(\"location\"),u=-1!==s.indexOf(\"z\"),f=-1!==s.indexOf(\"text\"),h=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&h.push(o));u&&h.push(t.zLabel);f&&a(r,e,h);t.extraText=h.join(\"<br>\")}(t,f,o),[t]}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"./attributes\":1005}],1010:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../heatmap/colorbar\"),calc:t(\"./calc\"),calcGeoJSON:t(\"./plot\").calcGeoJSON,plot:t(\"./plot\").plot,style:t(\"./style\").style,styleOnSelect:t(\"./style\").styleOnSelect,hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),moduleType:\"trace\",name:\"choropleth\",basePlotModule:t(\"../../plots/geo\"),categories:[\"geo\",\"noOpacity\",\"showLegend\"],meta:{}}},{\"../../plots/geo\":882,\"../heatmap/colorbar\":1084,\"./attributes\":1005,\"./calc\":1006,\"./defaults\":1007,\"./event_data\":1008,\"./hover\":1009,\"./plot\":1011,\"./select\":1012,\"./style\":1013}],1011:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../lib/topojson_utils\").getTopojsonFeatures,s=t(\"../../plots/cartesian/autorange\").findExtremes,l=t(\"./style\").style;e.exports={calcGeoJSON:function(t,e){for(var r=t[0].trace,n=e[r.geo],i=n._subplot,l=r.locationmode,c=r._length,u=\"geojson-id\"===l?a.extractTraceFeature(t):o(r,i.topojson),f=[],h=[],p=0;p<c;p++){var d=t[p],m=\"geojson-id\"===l?d.fOut:a.locationToFeature(l,d.loc,u);if(m){d.geojson=m,d.ct=m.properties.ct,d._polygons=a.feature2polygons(m);var g=a.computeBbox(m);f.push(g[0],g[2]),h.push(g[1],g[3])}else d.geojson=null}if(\"geojson\"===n.fitbounds&&\"geojson-id\"===l){var v=a.computeBbox(a.getTraceGeojson(r));f=[v[0],v[2]],h=[v[1],v[3]]}var y={padded:!0};r._extremes.lon=s(n.lonaxis._ax,f,y),r._extremes.lat=s(n.lataxis._ax,h,y)},plot:function(t,e,r){var a=e.layers.backplot.select(\".choroplethlayer\");i.makeTraceGroups(a,r,\"trace choropleth\").each((function(e){var r=n.select(this).selectAll(\"path.choroplethlocation\").data(i.identity);r.enter().append(\"path\").classed(\"choroplethlocation\",!0),r.exit().remove(),l(t,e)}))}}},{\"../../lib\":799,\"../../lib/geo_location_utils\":792,\"../../lib/topojson_utils\":827,\"../../plots/cartesian/autorange\":848,\"./style\":1013,\"@plotly/d3\":58}],1012:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},{}],1013:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../components/drawing\"),o=t(\"../../components/colorscale\");function s(t,e){var r=e[0].trace,s=e[0].node3.selectAll(\".choroplethlocation\"),l=r.marker||{},c=l.line||{},u=o.makeColorScaleFuncFromTrace(r);s.each((function(t){n.select(this).attr(\"fill\",u(t.z)).call(i.stroke,t.mlc||c.color).call(a.dashLine,\"\",t.mlw||c.width||0).style(\"opacity\",l.opacity)})),a.selectedPointStyle(s,r,t)}e.exports={style:function(t,e){e&&s(t,e)},styleOnSelect:function(t,e){var r=e[0].node3,n=e[0].trace;n.selectedpoints?a.selectedPointStyle(r.selectAll(\".choroplethlocation\"),n,t):s(t,e)}}},{\"../../components/color\":662,\"../../components/colorscale\":674,\"../../components/drawing\":684,\"@plotly/d3\":58}],1014:[function(t,e,r){\"use strict\";var 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\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/template_attributes\":922,\"../choropleth/attributes\":1005}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale\"),o=t(\"../../components/drawing\"),s=t(\"../../lib/geojson_utils\").makeBlank,l=t(\"../../lib/geo_location_utils\");function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}e.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},f=e._opts={fill:o,line:u,geojson:s()};if(!r)return f;var h=l.extractTraceFeature(t);if(!h)return f;var 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\":674,\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/geo_location_utils\":792,\"../../lib/geojson_utils\":793,\"fast-isnumeric\":245}],1016:[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 u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"./attributes\":1014}],1017:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../heatmap/colorbar\"),calc:t(\"../choropleth/calc\"),plot:t(\"./plot\"),hoverPoints:t(\"../choropleth/hover\"),eventData:t(\"../choropleth/event_data\"),selectPoints:t(\"../choropleth/select\"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return i}},moduleType:\"trace\",name:\"choroplethmapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_mapbox\"}}},{\"../../plots/mapbox\":907,\"../choropleth/calc\":1006,\"../choropleth/event_data\":1008,\"../choropleth/hover\":1009,\"../choropleth/select\":1012,\"../heatmap/colorbar\":1084,\"./attributes\":1014,\"./defaults\":1016,\"./plot\":1018}],1018:[function(t,e,r){\"use strict\";var n=t(\"./convert\").convert,i=t(\"./convert\").convertOnSelect,a=t(\"../../plots/mapbox/constants\").traceLayerPrefix;function o(t,e){this.type=\"choroplethmapbox\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"fill\",a+e+\"-fill\"],[\"line\",a+e+\"-line\"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t))},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},{\"../../plots/mapbox/constants\":905,\"./convert\":1015}],1019:[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={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 norm\",showScaleDflt:!0,editTypeOverride:\"calc\"}));[\"opacity\",\"lightposition\",\"lighting\"].forEach((function(t){c[t]=o[t]})),c.hoverinfo=l({},s.hoverinfo,{editType:\"calc\",flags:[\"x\",\"y\",\"z\",\"u\",\"v\",\"w\",\"norm\",\"text\",\"name\"],dflt:\"x+y+z+norm+text+name\"}),c.transforms=void 0,e.exports=c},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../mesh3d/attributes\":1155}],1020:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){for(var r=e.u,i=e.v,a=e.w,o=Math.min(e.x.length,e.y.length,e.z.length,r.length,i.length,a.length),s=-1/0,l=1/0,c=0;c<o;c++){var u=r[c],f=i[c],h=a[c],p=Math.sqrt(u*u+f*f+h*h);s=Math.max(s,p),l=Math.min(l,p)}e._len=o,e._normMax=s,n(t,e,{vals:[l,s],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":670}],1021:[function(t,e,r){\"use strict\";var n=t(\"gl-cone3d\"),i=t(\"gl-cone3d\").createConeMesh,a=t(\"../../lib\").simpleMap,o=t(\"../../lib/gl_format_color\").parseColorScale,s=t(\"../../components/colorscale\").extractOpts,l=t(\"../../plots/gl3d/zip3\");function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index,r=this.data.x[e],n=this.data.y[e],i=this.data.z[e],a=this.data.u[e],o=this.data.v[e],s=this.data.w[e];t.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return Array.isArray(l)&&void 0!==l[e]?t.textLabel=l[e]:l&&(t.textLabel=l),!0}};var 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 e=d(this.scene,t);this.mesh.update(e)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{\"../../components/colorscale\":674,\"../../lib\":799,\"../../lib/gl_format_color\":795,\"../../plots/gl3d/zip3\":903,\"gl-cone3d\":264}],1022:[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(\"u\"),c=s(\"v\"),u=s(\"w\"),f=s(\"x\"),h=s(\"y\"),p=s(\"z\");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s(\"sizeref\"),s(\"sizemode\"),s(\"anchor\"),s(\"lighting.ambient\"),s(\"lighting.diffuse\"),s(\"lighting.specular\"),s(\"lighting.roughness\"),s(\"lighting.fresnel\"),s(\"lightposition.x\"),s(\"lightposition.y\"),s(\"lightposition.z\"),i(t,e,o,s,{prefix:\"\",cLetter:\"c\"}),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"uhoverformat\"),s(\"vhoverformat\"),s(\"whoverformat\"),s(\"xhoverformat\"),s(\"yhoverformat\"),s(\"zhoverformat\"),e._length=null):e.visible=!1}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"./attributes\":1019}],1023:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"cone\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"showLegend\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:{min:\"cmin\",max:\"cmax\"},calc:t(\"./calc\"),plot:t(\"./convert\"),eventData:function(t,e){return t.norm=e.traceCoordinate[6],t},meta:{}}},{\"../../plots/gl3d\":892,\"./attributes\":1019,\"./calc\":1020,\"./convert\":1021,\"./defaults\":1022}],1024:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\"),o=a.axisHoverFormat,s=a.descriptionOnlyNumbers,l=t(\"../../components/colorscale/attributes\"),c=t(\"../../components/drawing/attributes\").dash,u=t(\"../../plots/font_attributes\"),f=t(\"../../lib/extend\").extendFlat,h=t(\"../../constants/filter_ops\"),p=h.COMPARISON_OPS2,d=h.INTERVAL_OPS,m=i.line;e.exports=f({z:n.z,x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,text:n.text,hovertext:n.hovertext,transpose:n.transpose,xtype:n.xtype,ytype:n.ytype,xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:n.hovertemplate,hoverongaps:n.hoverongaps,connectgaps:f({},n.connectgaps,{}),fillcolor:{valType:\"color\",editType:\"calc\"},autocontour:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"contours.start\":void 0,\"contours.end\":void 0,\"contours.size\":void 0}},ncontours:{valType:\"integer\",dflt:15,min:1,editType:\"calc\"},contours:{type:{valType:\"enumerated\",values:[\"levels\",\"constraint\"],dflt:\"levels\",editType:\"calc\"},start:{valType:\"number\",dflt:null,editType:\"plot\",impliedEdits:{\"^autocontour\":!1}},end:{valType:\"number\",dflt:null,editType:\"plot\",impliedEdits:{\"^autocontour\":!1}},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\",impliedEdits:{\"^autocontour\":!1}},coloring:{valType:\"enumerated\",values:[\"fill\",\"heatmap\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:{valType:\"boolean\",dflt:!0,editType:\"plot\"},showlabels:{valType:\"boolean\",dflt:!1,editType:\"plot\"},labelfont:u({editType:\"plot\",colorEditType:\"style\"}),labelformat:{valType:\"string\",dflt:\"\",editType:\"plot\",description:s(\"contour label\")},operation:{valType:\"enumerated\",values:[].concat(p).concat(d),dflt:\"=\",editType:\"calc\"},value:{valType:\"any\",dflt:0,editType:\"calc\"},editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:f({},m.color,{editType:\"style+colorbars\"}),width:{valType:\"number\",min:0,editType:\"style+colorbars\"},dash:c,smoothing:f({},m.smoothing,{}),editType:\"plot\"}},l(\"\",{cLetter:\"z\",autoColorDflt:!1,editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":669,\"../../components/drawing/attributes\":683,\"../../constants/filter_ops\":771,\"../../lib/extend\":789,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/font_attributes\":878,\"../heatmap/attributes\":1081,\"../scatter/attributes\":1214}],1025:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale\"),i=t(\"../heatmap/calc\"),a=t(\"./set_contours\"),o=t(\"./end_plus\");e.exports=function(t,e){var r=i(t,e),s=r[0].z;a(e,s);var l,c=e.contours,u=n.extractOpts(e);if(\"heatmap\"===c.coloring&&u.auto&&!1===e.autocontour){var f=c.start,h=o(c),p=c.size||1,d=Math.floor((h-f)/p)+1;isFinite(p)||(p=1,d=1);var m=f-p/2;l=[m,m+d*p]}else l=s;return n.calc(t,e,{vals:l,cLetter:\"z\"}),r}},{\"../../components/colorscale\":674,\"../heatmap/calc\":1082,\"./end_plus\":1035,\"./set_contours\":1043}],1026:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,n=t[0],i=n.z;switch(e.type){case\"levels\":var a=Math.min(i[0][0],i[0][1]);for(r=0;r<t.length;r++){var o=t[r];o.prefixBoundary=!o.edgepaths.length&&(a>o.level||o.starts.length&&a===o.level)}break;case\"constraint\":if(n.prefixBoundary=!1,n.edgepaths.length)return;var s=n.x.length,l=n.y.length,c=-1/0,u=1/0;for(r=0;r<l;r++)u=Math.min(u,i[r][0]),u=Math.min(u,i[r][s-1]),c=Math.max(c,i[r][0]),c=Math.max(c,i[r][s-1]);for(r=1;r<s-1;r++)u=Math.min(u,i[0][r]),u=Math.min(u,i[l-1][r]),c=Math.max(c,i[0][r]),c=Math.max(c,i[l-1][r]);var f,h,p=e.value;switch(e._operation){case\">\":p>c&&(n.prefixBoundary=!0);break;case\"<\":(p<u||n.starts.length&&p===u)&&(n.prefixBoundary=!0);break;case\"[]\":f=Math.min(p[0],p[1]),((h=Math.max(p[0],p[1]))<u||f>c||n.starts.length&&h===u)&&(n.prefixBoundary=!0);break;case\"][\":f=Math.min(p[0],p[1]),h=Math.max(p[0],p[1]),f<u&&h>c&&(n.prefixBoundary=!0)}}}},{}],1027:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale\"),i=t(\"./make_color_map\"),a=t(\"./end_plus\");e.exports={min:\"zmin\",max:\"zmax\",calc:function(t,e,r){var o=e.contours,s=e.line,l=o.size||1,c=o.coloring,u=i(e,{isColorbar:!0});if(\"heatmap\"===c){var f=n.extractOpts(e);r._fillgradient=f.reversescale?n.flipScale(f.colorscale):f.colorscale,r._zrange=[f.min,f.max]}else\"fill\"===c&&(r._fillcolor=u);r._line={color:\"lines\"===c?u:s.color,width:!1!==o.showlines?s.width:0,dash:s.dash},r._levels={start:o.start,end:a(o),size:l}}}},{\"../../components/colorscale\":674,\"./end_plus\":1035,\"./make_color_map\":1040}],1028:[function(t,e,r){\"use strict\";e.exports={BOTTOMSTART:[1,9,13,104,713],TOPSTART:[4,6,7,104,713],LEFTSTART:[8,12,14,208,1114],RIGHTSTART:[2,3,11,208,1114],NEWDELTA:[null,[-1,0],[0,-1],[-1,0],[1,0],null,[0,-1],[-1,0],[0,1],[0,1],null,[0,1],[1,0],[1,0],[0,-1]],CHOOSESADDLE:{104:[4,1],208:[2,8],713:[7,13],1114:[11,14]},SADDLEREMAINDER:{1:4,2:8,4:1,7:13,8:2,11:14,13:7,14:11},LABELDISTANCE:2,LABELINCREASE:10,LABELMIN:3,LABELMAX:10,LABELOPTIMIZER:{EDGECOST:1,ANGLECOST:1,NEIGHBORCOST:5,SAMELEVELFACTOR:10,SAMELEVELDISTANCE:5,MAXCOST:100,INITIALSEARCHPOINTS:10,ITERATIONS:5}}},{}],1029:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"./label_defaults\"),a=t(\"../../components/color\"),o=a.addOpacity,s=a.opacity,l=t(\"../../constants/filter_ops\"),c=l.CONSTRAINT_REDUCTION,u=l.COMPARISON_OPS2;e.exports=function(t,e,r,a,l,f){var h,p,d,m=e.contours,g=r(\"contours.operation\");(m._operation=c[g],function(t,e){var r;-1===u.indexOf(e.operation)?(t(\"contours.value\",[0,1]),Array.isArray(e.value)?e.value.length>2?e.value=e.value.slice(2):0===e.length?e.value=[0,1]:e.length<2?(r=parseFloat(e.value[0]),e.value=[r,r+1]):e.value=[parseFloat(e.value[0]),parseFloat(e.value[1])]:n(e.value)&&(r=parseFloat(e.value),e.value=[r,r+1])):(t(\"contours.value\",0),n(e.value)||(Array.isArray(e.value)?e.value=parseFloat(e.value[0]):e.value=0))}(r,m),\"=\"===g?h=m.showlines=!0:(h=r(\"contours.showlines\"),d=r(\"fillcolor\",o((t.line||{}).color||l,.5))),h)&&(p=r(\"line.color\",d&&s(d)?o(e.fillcolor,1):l),r(\"line.width\",2),r(\"line.dash\"));r(\"line.smoothing\"),i(r,a,p,f)}},{\"../../components/color\":662,\"../../constants/filter_ops\":771,\"./label_defaults\":1039,\"fast-isnumeric\":245}],1030:[function(t,e,r){\"use strict\";var n=t(\"../../constants/filter_ops\"),i=t(\"fast-isnumeric\");function a(t,e){var r,a=Array.isArray(e);function o(t){return i(t)?+t:null}return-1!==n.COMPARISON_OPS2.indexOf(t)?r=o(a?e[0]:e):-1!==n.INTERVAL_OPS.indexOf(t)?r=a?[o(e[0]),o(e[1])]:[o(e),o(e)]:-1!==n.SET_OPS.indexOf(t)&&(r=a?e.map(o):[o(e)]),r}function o(t){return function(e){e=a(t,e);var r=Math.min(e[0],e[1]),n=Math.max(e[0],e[1]);return{start:r,end:n,size:n-r}}}function s(t){return function(e){return{start:e=a(t,e),end:1/0,size:1/0}}}e.exports={\"[]\":o(\"[]\"),\"][\":o(\"][\"),\">\":s(\">\"),\"<\":s(\"<\"),\"=\":s(\"=\")}},{\"../../constants/filter_ops\":771,\"fast-isnumeric\":245}],1031:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i=n(\"contours.start\"),a=n(\"contours.end\"),o=!1===i||!1===a,s=r(\"contours.size\");!(o?e.autocontour=!0:r(\"autocontour\",!1))&&s||r(\"ncontours\")}},{}],1032:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return n.extendFlat({},t,{edgepaths:n.extendDeep([],t.edgepaths),paths:n.extendDeep([],t.paths),starts:n.extendDeep([],t.starts)})}e.exports=function(t,e){var r,a,o,s=function(t){return t.reverse()},l=function(t){return t};switch(e){case\"=\":case\"<\":return t;case\">\":for(1!==t.length&&n.warn(\"Contour data invalid for the specified inequality operation.\"),a=t[0],r=0;r<a.edgepaths.length;r++)a.edgepaths[r]=s(a.edgepaths[r]);for(r=0;r<a.paths.length;r++)a.paths[r]=s(a.paths[r]);for(r=0;r<a.starts.length;r++)a.starts[r]=s(a.starts[r]);return t;case\"][\":var c=s;s=l,l=c;case\"[]\":for(2!==t.length&&n.warn(\"Contour data invalid for the specified inequality range operation.\"),a=i(t[0]),o=i(t[1]),r=0;r<a.edgepaths.length;r++)a.edgepaths[r]=s(a.edgepaths[r]);for(r=0;r<a.paths.length;r++)a.paths[r]=s(a.paths[r]);for(r=0;r<a.starts.length;r++)a.starts[r]=s(a.starts[r]);for(;o.edgepaths.length;)a.edgepaths.push(l(o.edgepaths.shift()));for(;o.paths.length;)a.paths.push(l(o.paths.shift()));for(;o.starts.length;)a.starts.push(l(o.starts.shift()));return[a]}}},{\"../../lib\":799}],1033:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../heatmap/xyz_defaults\"),a=t(\"../scatter/period_defaults\"),o=t(\"./constraint_defaults\"),s=t(\"./contours_defaults\"),l=t(\"./style_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}if(i(t,e,f,u)){a(t,e,u,f),f(\"xhoverformat\"),f(\"yhoverformat\"),f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"hoverongaps\");var h=\"constraint\"===f(\"contours.type\");f(\"connectgaps\",n.isArray1D(e.z)),h?o(t,e,f,u,r):(s(t,e,f,(function(r){return n.coerce2(t,e,c,r)})),l(t,e,f,u))}else e.visible=!1}},{\"../../lib\":799,\"../heatmap/xyz_defaults\":1095,\"../scatter/period_defaults\":1234,\"./attributes\":1024,\"./constraint_defaults\":1029,\"./contours_defaults\":1031,\"./style_defaults\":1045}],1034:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./constraint_mapping\"),a=t(\"./end_plus\");e.exports=function(t,e,r){for(var o=\"constraint\"===t.type?i[t._operation](t.value):t,s=o.size,l=[],c=a(o),u=r.trace._carpetTrace,f=u?{xaxis:u.aaxis,yaxis:u.baxis,x:r.a,y:r.b}:{xaxis:e.xaxis,yaxis:e.yaxis,x:r.x,y:r.y},h=o.start;h<c;h+=s)if(l.push(n.extendFlat({level:h,crossings:{},starts:[],edgepaths:[],paths:[],z:r.z,smoothing:r.trace.line.smoothing},f)),l.length>1e3){n.warn(\"Too many contours, clipping at 1000\",t);break}return l}},{\"../../lib\":799,\"./constraint_mapping\":1030,\"./end_plus\":1035}],1035:[function(t,e,r){\"use strict\";e.exports=function(t){return t.end+t.size/1e6}},{}],1036:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./constants\");function a(t,e,r,n){return Math.abs(t[0]-e[0])<r&&Math.abs(t[1]-e[1])<n}function o(t,e,r,o,l){var c,u=e.join(\",\"),f=t.crossings[u],h=function(t,e,r){var n=0,a=0;t>20&&e?208===t||1114===t?n=0===r[0]?1:-1:a=0===r[1]?1:-1:-1!==i.BOTTOMSTART.indexOf(t)?a=1:-1!==i.LEFTSTART.indexOf(t)?n=1:-1!==i.TOPSTART.indexOf(t)?a=-1:n=-1;return[n,a]}(f,r,e),p=[s(t,e,[-h[0],-h[1]])],d=t.z.length,m=t.z[0].length,g=e.slice(),v=h.slice();for(c=0;c<1e4;c++){if(f>20?(f=i.CHOOSESADDLE[f][(h[0]||h[1])<0?0:1],t.crossings[u]=i.SADDLEREMAINDER[f]):delete t.crossings[u],!(h=i.NEWDELTA[f])){n.log(\"Found bad marching index:\",f,e,t.level);break}p.push(s(t,e,h)),e[0]+=h[0],e[1]+=h[1],u=e.join(\",\"),a(p[p.length-1],p[p.length-2],o,l)&&p.pop();var y=h[0]&&(e[0]<0||e[0]>m-2)||h[1]&&(e[1]<0||e[1]>d-2);if(e[0]===g[0]&&e[1]===g[1]&&h[0]===v[0]&&h[1]===v[1]||r&&y)break;f=t.crossings[u]}1e4===c&&n.log(\"Infinite loop in contour?\");var x,b,_,w,T,k,M,A,S,E,L,C,P,I,O,z=a(p[0],p[p.length-1],o,l),D=0,R=.2*t.smoothing,F=[],B=0;for(c=1;c<p.length;c++)C=p[c],P=p[c-1],I=void 0,O=void 0,I=C[2]-P[2],O=C[3]-P[3],D+=M=Math.sqrt(I*I+O*O),F.push(M);var N=D/F.length*R;function j(t){return p[t%p.length]}for(c=p.length-2;c>=B;c--)if((x=F[c])<N){for(_=0,b=c-1;b>=B&&x+F[b]<N;b--)x+=F[b];if(z&&c===p.length-2)for(_=0;_<b&&x+F[_]<N;_++)x+=F[_];T=c-b+_+1,k=Math.floor((c+b+_+2)/2),w=z||c!==p.length-2?z||-1!==b?T%2?j(k):[(j(k)[0]+j(k+1)[0])/2,(j(k)[1]+j(k+1)[1])/2]:p[0]:p[p.length-1],p.splice(b+1,c-b+1,w),c=b+1,_&&(B=_),z&&(c===p.length-2?p[_]=p[p.length-1]:0===c&&(p[p.length-1]=p[0]))}for(p.splice(0,B),c=0;c<p.length;c++)p[c].length=2;if(!(p.length<2))if(z)p.pop(),t.paths.push(p);else{r||n.log(\"Unclosed interior contour?\",t.level,g.join(\",\"),p.join(\"L\"));var U=!1;for(A=0;A<t.edgepaths.length;A++)if(E=t.edgepaths[A],!U&&a(E[0],p[p.length-1],o,l)){p.pop(),U=!0;var V=!1;for(S=0;S<t.edgepaths.length;S++)if(a((L=t.edgepaths[S])[L.length-1],p[0],o,l)){V=!0,p.shift(),t.edgepaths.splice(A,1),S===A?t.paths.push(p.concat(L)):(S>A&&S--,t.edgepaths[S]=L.concat(p,E));break}V||(t.edgepaths[A]=p.concat(E))}for(A=0;A<t.edgepaths.length&&!U;A++)a((E=t.edgepaths[A])[E.length-1],p[0],o,l)&&(p.shift(),t.edgepaths[A]=E.concat(p),U=!0);U||t.edgepaths.push(p)}}function s(t,e,r){var n=e[0]+Math.max(r[0],0),i=e[1]+Math.max(r[1],0),a=t.z[i][n],o=t.xaxis,s=t.yaxis;if(r[1]){var l=(t.level-a)/(t.z[i][n+1]-a);return[o.c2p((1-l)*t.x[n]+l*t.x[n+1],!0),s.c2p(t.y[i],!0),n+l,i]}var c=(t.level-a)/(t.z[i+1][n]-a);return[o.c2p(t.x[n],!0),s.c2p((1-c)*t.y[i]+c*t.y[i+1],!0),n,i+c]}e.exports=function(t,e,r){var i,a,s,l;for(e=e||.01,r=r||.01,a=0;a<t.length;a++){for(s=t[a],l=0;l<s.starts.length;l++)o(s,s.starts[l],\"edge\",e,r);for(i=0;Object.keys(s.crossings).length&&i<1e4;)i++,o(s,Object.keys(s.crossings)[0].split(\",\").map(Number),void 0,e,r);1e4===i&&n.log(\"Infinite loop in contour?\")}}},{\"../../lib\":799,\"./constants\":1028}],1037:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../heatmap/hover\");e.exports=function(t,e,r,a,o){o||(o={}),o.isContour=!0;var s=i(t,e,r,a,o);return s&&s.forEach((function(t){var e=t.trace;\"constraint\"===e.contours.type&&(e.fillcolor&&n.opacity(e.fillcolor)?t.color=n.addOpacity(e.fillcolor,1):e.contours.showlines&&n.opacity(e.line.color)&&(t.color=n.addOpacity(e.line.color,1)))})),s}},{\"../../components/color\":662,\"../heatmap/hover\":1088}],1038:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\").plot,style:t(\"./style\"),colorbar:t(\"./colorbar\"),hoverPoints:t(\"./hover\"),moduleType:\"trace\",name:\"contour\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"showLegend\"],meta:{}}},{\"../../plots/cartesian\":863,\"./attributes\":1024,\"./calc\":1025,\"./colorbar\":1027,\"./defaults\":1033,\"./hover\":1037,\"./plot\":1042,\"./style\":1044}],1039:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e,r,i){if(i||(i={}),t(\"contours.showlabels\")){var a=e.font;n.coerceFont(t,\"contours.labelfont\",{family:a.family,size:a.size,color:r}),t(\"contours.labelformat\")}!1!==i.hasHover&&t(\"zhoverformat\")}},{\"../../lib\":799}],1040:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/colorscale\"),a=t(\"./end_plus\");e.exports=function(t){var e=t.contours,r=e.start,o=a(e),s=e.size||1,l=Math.floor((o-r)/s)+1,c=\"lines\"===e.coloring?0:1,u=i.extractOpts(t);isFinite(s)||(s=1,l=1);var f,h,p=u.reversescale?i.flipScale(u.colorscale):u.colorscale,d=p.length,m=new Array(d),g=new Array(d);if(\"heatmap\"===e.coloring){var v=u.min,y=u.max;for(h=0;h<d;h++)f=p[h],m[h]=f[0]*(y-v)+v,g[h]=f[1];var x=n.extent([v,y,e.start,e.start+s*(l-1)]),b=x[v<y?0:1],_=x[v<y?1:0];b!==v&&(m.splice(0,0,b),g.splice(0,0,g[0])),_!==y&&(m.push(_),g.push(g[g.length-1]))}else for(h=0;h<d;h++)f=p[h],m[h]=(f[0]*(l+c-1)-c/2)*s+r,g[h]=f[1];return i.makeColorScaleFunc({domain:m,range:g},{noNumericCheck:!0})}},{\"../../components/colorscale\":674,\"./end_plus\":1035,\"@plotly/d3\":58}],1041:[function(t,e,r){\"use strict\";var n=t(\"./constants\");function i(t,e){var r=(e[0][0]>t?0:1)+(e[0][1]>t?0:2)+(e[1][1]>t?0:4)+(e[1][0]>t?0:8);return 5===r||10===r?t>(e[0][0]+e[0][1]+e[1][0]+e[1][1])/4?5===r?713:1114:5===r?104:208:15===r?0:r}e.exports=function(t){var e,r,a,o,s,l,c,u,f,h=t[0].z,p=h.length,d=h[0].length,m=2===p||2===d;for(r=0;r<p-1;r++)for(o=[],0===r&&(o=o.concat(n.BOTTOMSTART)),r===p-2&&(o=o.concat(n.TOPSTART)),e=0;e<d-1;e++)for(a=o.slice(),0===e&&(a=a.concat(n.LEFTSTART)),e===d-2&&(a=a.concat(n.RIGHTSTART)),s=e+\",\"+r,l=[[h[r][e],h[r][e+1]],[h[r+1][e],h[r+1][e+1]]],f=0;f<t.length;f++)(c=i((u=t[f]).level,l))&&(u.crossings[s]=c,-1!==a.indexOf(c)&&(u.starts.push([e,r]),m&&-1!==a.indexOf(c,a.indexOf(c)+1)&&u.starts.push([e,r])))}},{\"./constants\":1028}],1042:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../components/colorscale\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"../../plots/cartesian/set_convert\"),u=t(\"../heatmap/plot\"),f=t(\"./make_crossings\"),h=t(\"./find_all_paths\"),p=t(\"./empty_pathinfo\"),d=t(\"./convert_to_constraints\"),m=t(\"./close_boundaries\"),g=t(\"./constants\"),v=g.LABELOPTIMIZER;function y(t,e){var r,n,o,s,l,c,u,f=\"\",h=0,p=t.edgepaths.map((function(t,e){return e})),d=!0;function m(t){return Math.abs(t[1]-e[2][1])<.01}function g(t){return Math.abs(t[0]-e[0][0])<.01}function v(t){return Math.abs(t[0]-e[2][0])<.01}for(;p.length;){for(c=a.smoothopen(t.edgepaths[h],t.smoothing),f+=d?c:c.replace(/^M/,\"L\"),p.splice(p.indexOf(h),1),r=t.edgepaths[h][t.edgepaths[h].length-1],s=-1,o=0;o<4;o++){if(!r){i.log(\"Missing end?\",h,t);break}for(u=r,Math.abs(u[1]-e[0][1])<.01&&!v(r)?n=e[1]:g(r)?n=e[0]:m(r)?n=e[3]:v(r)&&(n=e[2]),l=0;l<t.edgepaths.length;l++){var y=t.edgepaths[l][0];Math.abs(r[0]-n[0])<.01?Math.abs(r[0]-y[0])<.01&&(y[1]-r[1])*(n[1]-y[1])>=0&&(n=y,s=l):Math.abs(r[1]-n[1])<.01?Math.abs(r[1]-y[1])<.01&&(y[0]-r[0])*(n[0]-y[0])>=0&&(n=y,s=l):i.log(\"endpt to newendpt is not vert. or horz.\",r,n,y)}if(r=n,s>=0)break;f+=\"L\"+n}if(s===t.edgepaths.length){i.log(\"unclosed perimeter path\");break}h=s,(d=-1===p.indexOf(h))&&(h=p[0],f+=\"Z\")}for(h=0;h<t.paths.length;h++)f+=a.smoothclosed(t.paths[h],t.smoothing);return f}function x(t,e,r,n){var a=e.width/2,o=e.height/2,s=t.x,l=t.y,c=t.theta,u=Math.cos(c)*a,f=Math.sin(c)*a,h=(s>n.center?n.right-s:s-n.left)/(u+Math.abs(Math.sin(c)*o)),p=(l>n.middle?n.bottom-l:l-n.top)/(Math.abs(f)+Math.cos(c)*o);if(h<1||p<1)return 1/0;var d=v.EDGECOST*(1/(h-1)+1/(p-1));d+=v.ANGLECOST*c*c;for(var m=s-u,g=l-f,y=s+u,x=l+f,b=0;b<r.length;b++){var _=r[b],w=Math.cos(_.theta)*_.width/2,T=Math.sin(_.theta)*_.width/2,k=2*i.segmentDistance(m,g,y,x,_.x-w,_.y-T,_.x+w,_.y+T)/(e.height+_.height),M=_.level===e.level,A=M?v.SAMELEVELDISTANCE:1;if(k<=A)return 1/0;d+=v.NEIGHBORCOST*(M?v.SAMELEVELFACTOR:1)/(k-A)}return d}function b(t){var e,r,n=t.trace._emptypoints,i=[],a=t.z.length,o=t.z[0].length,s=[];for(e=0;e<o;e++)s.push(1);for(e=0;e<a;e++)i.push(s.slice());for(e=0;e<n.length;e++)i[(r=n[e])[0]][r[1]]=0;return t.zmask=i,i}r.plot=function(t,e,o,s){var l=e.xaxis,c=e.yaxis;i.makeTraceGroups(s,o,\"contour\").each((function(o){var s=n.select(this),v=o[0],x=v.trace,_=v.x,w=v.y,T=x.contours,k=p(T,e,v),M=i.ensureSingle(s,\"g\",\"heatmapcoloring\"),A=[];\"heatmap\"===T.coloring&&(A=[o]),u(t,e,A,M),f(k),h(k);var S=l.c2p(_[0],!0),E=l.c2p(_[_.length-1],!0),L=c.c2p(w[0],!0),C=c.c2p(w[w.length-1],!0),P=[[S,C],[E,C],[E,L],[S,L]],I=k;\"constraint\"===T.type&&(I=d(k,T._operation)),function(t,e,r){var n=i.ensureSingle(t,\"g\",\"contourbg\").selectAll(\"path\").data(\"fill\"===r.coloring?[0]:[]);n.enter().append(\"path\"),n.exit().remove(),n.attr(\"d\",\"M\"+e.join(\"L\")+\"Z\").style(\"stroke\",\"none\")}(s,P,T),function(t,e,r,a){var o=\"fill\"===a.coloring||\"constraint\"===a.type&&\"=\"!==a._operation,s=\"M\"+r.join(\"L\")+\"Z\";o&&m(e,a);var l=i.ensureSingle(t,\"g\",\"contourfill\").selectAll(\"path\").data(o?e:[]);l.enter().append(\"path\"),l.exit().remove(),l.each((function(t){var e=(t.prefixBoundary?s:\"\")+y(t,r);e?n.select(this).attr(\"d\",e).style(\"stroke\",\"none\"):n.select(this).remove()}))}(s,I,P,T),function(t,e,o,s,l){var c=i.ensureSingle(t,\"g\",\"contourlines\"),u=!1!==l.showlines,f=l.showlabels,h=u&&f,p=r.createLines(c,u||f,e),d=r.createLineClip(c,h,o,s.trace.uid),m=t.selectAll(\"g.contourlabels\").data(f?[0]:[]);if(m.exit().remove(),m.enter().append(\"g\").classed(\"contourlabels\",!0),f){var v=[],y=[];i.clearLocationCache();var x=r.labelFormatter(o,s),b=a.tester.append(\"text\").attr(\"data-notex\",1).call(a.font,l.labelfont),_=e[0].xaxis,w=e[0].yaxis,T=_._length,k=w._length,M=_.range,A=w.range,S=i.aggNums(Math.min,null,s.x),E=i.aggNums(Math.max,null,s.x),L=i.aggNums(Math.min,null,s.y),C=i.aggNums(Math.max,null,s.y),P=Math.max(_.c2p(S,!0),0),I=Math.min(_.c2p(E,!0),T),O=Math.max(w.c2p(C,!0),0),z=Math.min(w.c2p(L,!0),k),D={};M[0]<M[1]?(D.left=P,D.right=I):(D.left=I,D.right=P),A[0]<A[1]?(D.top=O,D.bottom=z):(D.top=z,D.bottom=O),D.middle=(D.top+D.bottom)/2,D.center=(D.left+D.right)/2,v.push([[D.left,D.top],[D.right,D.top],[D.right,D.bottom],[D.left,D.bottom]]);var R=Math.sqrt(T*T+k*k),F=g.LABELDISTANCE*R/Math.max(1,e.length/g.LABELINCREASE);p.each((function(t){var e=r.calcTextOpts(t.level,x,b,o);n.select(this).selectAll(\"path\").each((function(){var t=i.getVisibleSegment(this,D,e.height/2);if(t&&!(t.len<(e.width+e.height)*g.LABELMIN))for(var n=Math.min(Math.ceil(t.len/F),g.LABELMAX),a=0;a<n;a++){var o=r.findBestTextLocation(this,t,e,y,D);if(!o)break;r.addLabelData(o,e,y,v)}}))})),b.remove(),r.drawLabels(m,y,o,d,h?v:null)}f&&!u&&p.remove()}(s,k,t,v,T),function(t,e,r,n,o){var s=n.trace,l=r._fullLayout._clips,c=\"clip\"+s.uid,u=l.selectAll(\"#\"+c).data(s.connectgaps?[]:[0]);if(u.enter().append(\"clipPath\").classed(\"contourclip\",!0).attr(\"id\",c),u.exit().remove(),!1===s.connectgaps){var p={level:.9,crossings:{},starts:[],edgepaths:[],paths:[],xaxis:e.xaxis,yaxis:e.yaxis,x:n.x,y:n.y,z:b(n),smoothing:0};f([p]),h([p]),m([p],{type:\"levels\"}),i.ensureSingle(u,\"path\",\"\").attr(\"d\",(p.prefixBoundary?\"M\"+o.join(\"L\")+\"Z\":\"\")+y(p,o))}else c=null;a.setClipUrl(t,c,r)}(s,e,t,v,P)}))},r.createLines=function(t,e,r){var n=r[0].smoothing,i=t.selectAll(\"g.contourlevel\").data(e?r:[]);if(i.exit().remove(),i.enter().append(\"g\").classed(\"contourlevel\",!0),e){var o=i.selectAll(\"path.openline\").data((function(t){return t.pedgepaths||t.edgepaths}));o.exit().remove(),o.enter().append(\"path\").classed(\"openline\",!0),o.attr(\"d\",(function(t){return a.smoothopen(t,n)})).style(\"stroke-miterlimit\",1).style(\"vector-effect\",\"non-scaling-stroke\");var s=i.selectAll(\"path.closedline\").data((function(t){return t.ppaths||t.paths}));s.exit().remove(),s.enter().append(\"path\").classed(\"closedline\",!0),s.attr(\"d\",(function(t){return a.smoothclosed(t,n)})).style(\"stroke-miterlimit\",1).style(\"vector-effect\",\"non-scaling-stroke\")}return i},r.createLineClip=function(t,e,r,n){var i=e?\"clipline\"+n:null,o=r._fullLayout._clips.selectAll(\"#\"+i).data(e?[0]:[]);return o.exit().remove(),o.enter().append(\"clipPath\").classed(\"contourlineclip\",!0).attr(\"id\",i),a.setClipUrl(t,i,r),o},r.labelFormatter=function(t,e){var r=t._fullLayout,n=e.trace,i=n.contours,a={type:\"linear\",_id:\"ycontour\",showexponent:\"all\",exponentformat:\"B\"};if(i.labelformat)a.tickformat=i.labelformat,c(a,r);else{var s=o.extractOpts(n);if(s&&s.colorbar&&s.colorbar._axis)a=s.colorbar._axis;else{if(\"constraint\"===i.type){var u=i.value;Array.isArray(u)?a.range=[u[0],u[u.length-1]]:a.range=[u,u]}else a.range=[i.start,i.end],a.nticks=(i.end-i.start)/i.size;a.range[0]===a.range[1]&&(a.range[1]+=a.range[0]||1),a.nticks||(a.nticks=1e3),c(a,r),l.prepTicks(a),a._tmin=null,a._tmax=null}}return function(t){return l.tickText(a,t).text}},r.calcTextOpts=function(t,e,r,n){var i=e(t);r.text(i).call(s.convertToTspans,n);var o=r.node(),l=a.bBox(o,!0);return{text:i,width:l.width,height:l.height,fontSize:+o.style[\"font-size\"].replace(\"px\",\"\"),level:t,dy:(l.top+l.bottom)/2}},r.findBestTextLocation=function(t,e,r,n,a){var o,s,l,c,u,f=r.width;e.isClosed?(s=e.len/v.INITIALSEARCHPOINTS,o=e.min+s/2,l=e.max):(s=(e.len-f)/(v.INITIALSEARCHPOINTS+1),o=e.min+s+f/2,l=e.max-(s+f)/2);for(var h=1/0,p=0;p<v.ITERATIONS;p++){for(var d=o;d<l;d+=s){var m=i.getTextLocation(t,e.total,d,f),g=x(m,r,n,a);g<h&&(h=g,u=m,c=d)}if(h>2*v.MAXCOST)break;p&&(s/=2),l=(o=c-s/2)+1.5*s}if(h<=v.MAXCOST)return u},r.addLabelData=function(t,e,r,n){var i=e.fontSize,a=e.width+i/3,o=Math.max(0,e.height-i/3),s=t.x,l=t.y,c=t.theta,u=Math.sin(c),f=Math.cos(c),h=function(t,e){return[s+t*f-e*u,l+t*u+e*f]},p=[h(-a/2,-o/2),h(-a/2,o/2),h(a/2,o/2),h(a/2,-o/2)];r.push({text:e.text,x:s,y:l,dy:e.dy,theta:c,level:e.level,width:a,height:o}),n.push(p)},r.drawLabels=function(t,e,r,a,o){var l=t.selectAll(\"text\").data(e,(function(t){return t.text+\",\"+t.x+\",\"+t.y+\",\"+t.theta}));if(l.exit().remove(),l.enter().append(\"text\").attr({\"data-notex\":1,\"text-anchor\":\"middle\"}).each((function(t){var e=t.x+Math.sin(t.theta)*t.dy,i=t.y-Math.cos(t.theta)*t.dy;n.select(this).text(t.text).attr({x:e,y:i,transform:\"rotate(\"+180*t.theta/Math.PI+\" \"+e+\" \"+i+\")\"}).call(s.convertToTspans,r)})),o){for(var c=\"\",u=0;u<o.length;u++)c+=\"M\"+o[u].join(\"L\")+\"Z\";i.ensureSingle(a,\"path\",\"\").attr(\"d\",c)}}},{\"../../components/colorscale\":674,\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plots/cartesian/axes\":849,\"../../plots/cartesian/set_convert\":870,\"../heatmap/plot\":1092,\"./close_boundaries\":1026,\"./constants\":1028,\"./convert_to_constraints\":1032,\"./empty_pathinfo\":1034,\"./find_all_paths\":1036,\"./make_crossings\":1041,\"@plotly/d3\":58}],1043:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../lib\");function a(t,e,r){var i={type:\"linear\",range:[t,e]};return n.autoTicks(i,(e-t)/(r||15)),i}e.exports=function(t,e){var r=t.contours;if(t.autocontour){var o=t.zmin,s=t.zmax;(t.zauto||void 0===o)&&(o=i.aggNums(Math.min,null,e)),(t.zauto||void 0===s)&&(s=i.aggNums(Math.max,null,e));var l=a(o,s,t.ncontours);r.size=l.dtick,r.start=n.tickFirst(l),l.range.reverse(),r.end=n.tickFirst(l),r.start===o&&(r.start+=r.size),r.end===s&&(r.end-=r.size),r.start>r.end&&(r.start=r.end=(r.start+r.end)/2),t._input.contours||(t._input.contours={}),i.extendFlat(t._input.contours,{start:r.start,end:r.end,size:r.size}),t._input.autocontour=!0}else if(\"constraint\"!==r.type){var c,u=r.start,f=r.end,h=t._input.contours;if(u>f&&(r.start=h.start=f,f=r.end=h.end=u,u=r.start),!(r.size>0))c=u===f?1:a(u,f,t.ncontours).dtick,h.size=r.size=c}}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849}],1044:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../heatmap/style\"),o=t(\"./make_color_map\");e.exports=function(t){var e=n.select(t).selectAll(\"g.contour\");e.style(\"opacity\",(function(t){return t[0].trace.opacity})),e.each((function(t){var e=n.select(this),r=t[0].trace,a=r.contours,s=r.line,l=a.size||1,c=a.start,u=\"constraint\"===a.type,f=!u&&\"lines\"===a.coloring,h=!u&&\"fill\"===a.coloring,p=f||h?o(r):null;e.selectAll(\"g.contourlevel\").each((function(t){n.select(this).selectAll(\"path\").call(i.lineGroupStyle,s.width,f?p(t.level):s.color,s.dash)}));var d=a.labelfont;if(e.selectAll(\"g.contourlabels text\").each((function(t){i.font(n.select(this),{family:d.family,size:d.size,color:d.color||(f?p(t.level):s.color)})})),u)e.selectAll(\"g.contourfill path\").style(\"fill\",r.fillcolor);else if(h){var m;e.selectAll(\"g.contourfill path\").style(\"fill\",(function(t){return void 0===m&&(m=t.level),p(t.level+.5*l)})),void 0===m&&(m=c),e.selectAll(\"g.contourbg path\").style(\"fill\",p(m-.5*l))}})),a(t)}},{\"../../components/drawing\":684,\"../heatmap/style\":1093,\"./make_color_map\":1040,\"@plotly/d3\":58}],1045:[function(t,e,r){\"use strict\";var 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\":672,\"./label_defaults\":1039}],1046:[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 0},a(\"\",{cLetter:\"z\",autoColorDflt:!1}))},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../contour/attributes\":1024,\"../heatmap/attributes\":1081}],1047:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),i=t(\"../../lib\"),a=t(\"../heatmap/convert_column_xyz\"),o=t(\"../heatmap/clean_2d_array\"),s=t(\"../heatmap/interp2d\"),l=t(\"../heatmap/find_empties\"),c=t(\"../heatmap/make_bound_array\"),u=t(\"./defaults\"),f=t(\"../carpet/lookup_carpetid\"),h=t(\"../contour/set_contours\");e.exports=function(t,e){var r=e._carpetTrace=f(t,e);if(r&&r.visible&&\"legendonly\"!==r.visible){if(!e.a||!e.b){var p=t.data[r.index],d=t.data[e.index];d.a||(d.a=p.a),d.b||(d.b=p.b),u(d,e,e._defaultColor,t._fullLayout)}var m=function(t,e){var r,u,f,h,p,d,m,g=e._carpetTrace,v=g.aaxis,y=g.baxis;v._minDtick=0,y._minDtick=0,i.isArray1D(e.z)&&a(e,v,y,\"a\",\"b\",[\"z\"]);r=e._a=e._a||e.a,h=e._b=e._b||e.b,r=r?v.makeCalcdata(e,\"_a\"):[],h=h?y.makeCalcdata(e,\"_b\"):[],u=e.a0||0,f=e.da||1,p=e.b0||0,d=e.db||1,m=e._z=o(e._z||e.z,e.transpose),e._emptypoints=l(m),s(m,e._emptypoints);var x=i.maxRowLength(m),b=\"scaled\"===e.xtype?\"\":r,_=c(e,b,u,f,x,v),w=\"scaled\"===e.ytype?\"\":h,T=c(e,w,p,d,m.length,y),k={a:_,b:T,z:m};\"levels\"===e.contours.type&&\"none\"!==e.contours.coloring&&n(t,e,{vals:m,containerStr:\"\",cLetter:\"z\"});return[k]}(t,e);return h(e,e._z),m}}},{\"../../components/colorscale/calc\":670,\"../../lib\":799,\"../carpet/lookup_carpetid\":997,\"../contour/set_contours\":1043,\"../heatmap/clean_2d_array\":1083,\"../heatmap/convert_column_xyz\":1085,\"../heatmap/find_empties\":1087,\"../heatmap/interp2d\":1090,\"../heatmap/make_bound_array\":1091,\"./defaults\":1048}],1048:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../heatmap/xyz_defaults\"),a=t(\"./attributes\"),o=t(\"../contour/constraint_defaults\"),s=t(\"../contour/contours_defaults\"),l=t(\"../contour/style_defaults\");e.exports=function(t,e,r,c){function u(r,i){return n.coerce(t,e,a,r,i)}if(u(\"carpet\"),t.a&&t.b){if(!i(t,e,u,c,\"a\",\"b\"))return void(e.visible=!1);u(\"text\"),\"constraint\"===u(\"contours.type\")?o(t,e,u,c,r,{hasHover:!1}):(s(t,e,u,(function(r){return n.coerce2(t,e,a,r)})),l(t,e,u,c,{hasHover:!1}))}else e._defaultColor=r,e._length=null}},{\"../../lib\":799,\"../contour/constraint_defaults\":1029,\"../contour/contours_defaults\":1031,\"../contour/style_defaults\":1045,\"../heatmap/xyz_defaults\":1095,\"./attributes\":1046}],1049:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../contour/colorbar\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../contour/style\"),moduleType:\"trace\",name:\"contourcarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"carpet\",\"contour\",\"symbols\",\"showLegend\",\"hasLines\",\"carpetDependent\",\"noHover\",\"noSortingByValue\"],meta:{}}},{\"../../plots/cartesian\":863,\"../contour/colorbar\":1027,\"../contour/style\":1044,\"./attributes\":1046,\"./calc\":1047,\"./defaults\":1048,\"./plot\":1050}],1050:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../carpet/map_1d_array\"),a=t(\"../carpet/makepath\"),o=t(\"../../components/drawing\"),s=t(\"../../lib\"),l=t(\"../contour/make_crossings\"),c=t(\"../contour/find_all_paths\"),u=t(\"../contour/plot\"),f=t(\"../contour/constants\"),h=t(\"../contour/convert_to_constraints\"),p=t(\"../contour/empty_pathinfo\"),d=t(\"../contour/close_boundaries\"),m=t(\"../carpet/lookup_carpetid\"),g=t(\"../carpet/axis_aligned_line\");function v(t,e,r){var n=t.getPointAtLength(e),i=t.getPointAtLength(r),a=i.x-n.x,o=i.y-n.y,s=Math.sqrt(a*a+o*o);return[a/s,o/s]}function y(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]);return[t[0]/e,t[1]/e]}function x(t,e){var r=Math.abs(t[0]*e[0]+t[1]*e[1]);return Math.sqrt(1-r*r)/r}e.exports=function(t,e,r,b){var _=e.xaxis,w=e.yaxis;s.makeTraceGroups(b,r,\"contour\").each((function(r){var b=n.select(this),T=r[0],k=T.trace,M=k._carpetTrace=m(t,k),A=t.calcdata[M.index][0];if(M.visible&&\"legendonly\"!==M.visible){var S=T.a,E=T.b,L=k.contours,C=p(L,e,T),P=\"constraint\"===L.type,I=L._operation,O=P?\"=\"===I?\"lines\":\"fill\":L.coloring,z=[[S[0],E[E.length-1]],[S[S.length-1],E[E.length-1]],[S[S.length-1],E[0]],[S[0],E[0]]];l(C);var D=1e-8*(S[S.length-1]-S[0]),R=1e-8*(E[E.length-1]-E[0]);c(C,D,R);var F,B,N,j,U=C;\"constraint\"===L.type&&(U=h(C,I)),function(t,e){var r,n,i,a,o,s,l,c,u;for(r=0;r<t.length;r++){for(a=t[r],o=a.pedgepaths=[],s=a.ppaths=[],n=0;n<a.edgepaths.length;n++){for(u=a.edgepaths[n],l=[],i=0;i<u.length;i++)l[i]=e(u[i]);o.push(l)}for(n=0;n<a.paths.length;n++){for(u=a.paths[n],c=[],i=0;i<u.length;i++)c[i]=e(u[i]);s.push(c)}}}(C,H);var V=[];for(j=A.clipsegments.length-1;j>=0;j--)F=A.clipsegments[j],B=i([],F.x,_.c2p),N=i([],F.y,w.c2p),B.reverse(),N.reverse(),V.push(a(B,N,F.bicubic));var q=\"M\"+V.join(\"L\")+\"Z\";!function(t,e,r,n,o,l){var c,u,f,h,p=s.ensureSingle(t,\"g\",\"contourbg\").selectAll(\"path\").data(\"fill\"!==l||o?[]:[0]);p.enter().append(\"path\"),p.exit().remove();var d=[];for(h=0;h<e.length;h++)c=e[h],u=i([],c.x,r.c2p),f=i([],c.y,n.c2p),d.push(a(u,f,c.bicubic));p.attr(\"d\",\"M\"+d.join(\"L\")+\"Z\").style(\"stroke\",\"none\")}(b,A.clipsegments,_,w,P,O),function(t,e,r,i,a,l,c,u,f,h,p){var m=\"fill\"===h;m&&d(a,t.contours);var v=s.ensureSingle(e,\"g\",\"contourfill\").selectAll(\"path\").data(m?a:[]);v.enter().append(\"path\"),v.exit().remove(),v.each((function(t){var e=(t.prefixBoundary?p:\"\")+function(t,e,r,n,i,a,l,c){var u,f,h,p,d,m,v,y=\"\",x=e.edgepaths.map((function(t,e){return e})),b=!0,_=1e-4*Math.abs(r[0][0]-r[2][0]),w=1e-4*Math.abs(r[0][1]-r[2][1]);function T(t){return Math.abs(t[1]-r[0][1])<w}function k(t){return Math.abs(t[1]-r[2][1])<w}function M(t){return Math.abs(t[0]-r[0][0])<_}function A(t){return Math.abs(t[0]-r[2][0])<_}function S(t,e){var r,n,o,s,u=\"\";for(T(t)&&!A(t)||k(t)&&!M(t)?(s=i.aaxis,o=g(i,a,[t[0],e[0]],.5*(t[1]+e[1]))):(s=i.baxis,o=g(i,a,.5*(t[0]+e[0]),[t[1],e[1]])),r=1;r<o.length;r++)for(u+=s.smoothing?\"C\":\"L\",n=0;n<o[r].length;n++){var f=o[r][n];u+=[l.c2p(f[0]),c.c2p(f[1])]+\" \"}return u}u=0,f=null;for(;x.length;){var E=e.edgepaths[u][0];for(f&&(y+=S(f,E)),v=o.smoothopen(e.edgepaths[u].map(n),e.smoothing),y+=b?v:v.replace(/^M/,\"L\"),x.splice(x.indexOf(u),1),f=e.edgepaths[u][e.edgepaths[u].length-1],d=-1,p=0;p<4;p++){if(!f){s.log(\"Missing end?\",u,e);break}for(T(f)&&!A(f)?h=r[1]:M(f)?h=r[0]:k(f)?h=r[3]:A(f)&&(h=r[2]),m=0;m<e.edgepaths.length;m++){var L=e.edgepaths[m][0];Math.abs(f[0]-h[0])<_?Math.abs(f[0]-L[0])<_&&(L[1]-f[1])*(h[1]-L[1])>=0&&(h=L,d=m):Math.abs(f[1]-h[1])<w?Math.abs(f[1]-L[1])<w&&(L[0]-f[0])*(h[0]-L[0])>=0&&(h=L,d=m):s.log(\"endpt to newendpt is not vert. or horz.\",f,h,L)}if(d>=0)break;y+=S(f,h),f=h}if(d===e.edgepaths.length){s.log(\"unclosed perimeter path\");break}u=d,(b=-1===x.indexOf(u))&&(u=x[0],y+=S(f,h)+\"Z\",f=null)}for(u=0;u<e.paths.length;u++)y+=o.smoothclosed(e.paths[u].map(n),e.smoothing);return y}(0,t,l,c,u,f,r,i);e?n.select(this).attr(\"d\",e).style(\"stroke\",\"none\"):n.select(this).remove()}))}(k,b,_,w,U,z,H,M,A,O,q),function(t,e,r,i,a,l,c){var h=s.ensureSingle(t,\"g\",\"contourlines\"),p=!1!==a.showlines,d=a.showlabels,m=p&&d,g=u.createLines(h,p||d,e),b=u.createLineClip(h,m,r,i.trace.uid),_=t.selectAll(\"g.contourlabels\").data(d?[0]:[]);if(_.exit().remove(),_.enter().append(\"g\").classed(\"contourlabels\",!0),d){var w=l.xaxis,T=l.yaxis,k=w._length,M=T._length,A=[[[0,0],[k,0],[k,M],[0,M]]],S=[];s.clearLocationCache();var E=u.labelFormatter(r,i),L=o.tester.append(\"text\").attr(\"data-notex\",1).call(o.font,a.labelfont),C={left:0,right:k,center:k/2,top:0,bottom:M,middle:M/2},P=Math.sqrt(k*k+M*M),I=f.LABELDISTANCE*P/Math.max(1,e.length/f.LABELINCREASE);g.each((function(t){var e=u.calcTextOpts(t.level,E,L,r);n.select(this).selectAll(\"path\").each((function(r){var n=s.getVisibleSegment(this,C,e.height/2);if(n&&(function(t,e,r,n,i,a){for(var o,s=0;s<r.pedgepaths.length;s++)e===r.pedgepaths[s]&&(o=r.edgepaths[s]);if(!o)return;var l=i.a[0],c=i.a[i.a.length-1],u=i.b[0],f=i.b[i.b.length-1];function h(t,e){var r,n=0;return(Math.abs(t[0]-l)<.1||Math.abs(t[0]-c)<.1)&&(r=y(i.dxydb_rough(t[0],t[1],.1)),n=Math.max(n,a*x(e,r)/2)),(Math.abs(t[1]-u)<.1||Math.abs(t[1]-f)<.1)&&(r=y(i.dxyda_rough(t[0],t[1],.1)),n=Math.max(n,a*x(e,r)/2)),n}var p=v(t,0,1),d=v(t,n.total,n.total-1),m=h(o[0],p),g=n.total-h(o[o.length-1],d);n.min<m&&(n.min=m);n.max>g&&(n.max=g);n.len=n.max-n.min}(this,r,t,n,c,e.height),!(n.len<(e.width+e.height)*f.LABELMIN)))for(var i=Math.min(Math.ceil(n.len/I),f.LABELMAX),a=0;a<i;a++){var o=u.findBestTextLocation(this,n,e,S,C);if(!o)break;u.addLabelData(o,e,S,A)}}))})),L.remove(),u.drawLabels(_,S,r,b,m?A:null)}d&&!p&&g.remove()}(b,C,t,T,L,e,M),o.setClipUrl(b,M._clipPathId,t)}function H(t){var e=M.ab2xy(t[0],t[1],!0);return[_.c2p(e[0]),w.c2p(e[1])]}}))}},{\"../../components/drawing\":684,\"../../lib\":799,\"../carpet/axis_aligned_line\":981,\"../carpet/lookup_carpetid\":997,\"../carpet/makepath\":998,\"../carpet/map_1d_array\":999,\"../contour/close_boundaries\":1026,\"../contour/constants\":1028,\"../contour/convert_to_constraints\":1032,\"../contour/empty_pathinfo\":1034,\"../contour/find_all_paths\":1036,\"../contour/make_crossings\":1041,\"../contour/plot\":1042,\"@plotly/d3\":58}],1051:[function(t,e,r){\"use strict\";var 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\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/template_attributes\":922,\"../scattermapbox/attributes\":1279}],1052:[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\":670,\"../../constants/numerical\":775,\"../../lib\":799,\"fast-isnumeric\":245}],1053:[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\":662,\"../../components/colorscale\":674,\"../../constants/numerical\":775,\"../../lib\":799,\"../../lib/geojson_utils\":793,\"fast-isnumeric\":245}],1054:[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\":672,\"../../lib\":799,\"./attributes\":1051}],1055:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},{}],1056:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../scattermapbox/hover\").hoverPoints,a=t(\"../scattermapbox/hover\").getExtraText;e.exports=function(t,e,r){var o=i(t,e,r);if(o){var s=o[0],l=s.cd,c=l[0].trace,u=l[s.index];if(delete s.color,\"z\"in u){var f=s.subplot.mockAxis;s.z=u.z,s.zLabel=n.tickText(f,f.c2l(u.z),\"hover\").text}return s.extraText=a(c,u,l[0].t.labels),[s]}}},{\"../../plots/cartesian/axes\":849,\"../scattermapbox/hover\":1284}],1057:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../heatmap/colorbar\"),formatLabels:t(\"../scattermapbox/format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),getBelow:function(t,e){for(var r=e.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if(\"symbol\"===i.type&&\"string\"==typeof 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\":907,\"../heatmap/colorbar\":1084,\"../scattermapbox/format_labels\":1283,\"./attributes\":1051,\"./calc\":1052,\"./defaults\":1054,\"./event_data\":1055,\"./hover\":1056,\"./plot\":1058}],1058:[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 s=r[o],l=s[0],c=s[1],u=i[l];e.setOptions(c,\"setLayoutProperty\",u.layout),\"visible\"===u.layout.visibility&&e.setOptions(c,\"setPaintProperty\",u.paint)}},o._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},o._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},o.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new a(t,r.uid),o=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(o,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),i}},{\"../../plots/mapbox/constants\":905,\"./convert\":1053}],1059:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\");var i=e.marker;if(i){n.mergeArray(i.opacity,t,\"mo\"),n.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(n.mergeArray(a.color,t,\"mlc\"),n.mergeArrayCastPositive(a.width,t,\"mlw\"))}}},{\"../../lib\":799}],1060:[function(t,e,r){\"use strict\";var n,i=t(\"../bar/attributes\"),a=t(\"../scatter/attributes\").line,o=t(\"../../plots/attributes\"),s=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../plots/template_attributes\").texttemplateAttrs,u=t(\"./constants\"),f=t(\"../../lib/extend\").extendFlat,h=t(\"../../components/color\");e.exports={x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),hovertext:i.hovertext,hovertemplate:l({},{keys:u.eventDataKeys}),hoverinfo:f({},o.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent total\",\"value\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:c({editType:\"plot\"},{keys:u.eventDataKeys.concat([\"label\",\"value\"])}),text:i.text,textposition:i.textposition,insidetextanchor:f({},i.insidetextanchor,{dflt:\"middle\"}),textangle:f({},i.textangle,{dflt:0}),textfont:i.textfont,insidetextfont:i.insidetextfont,outsidetextfont:i.outsidetextfont,constraintext:i.constraintext,cliponaxis:i.cliponaxis,orientation:f({},i.orientation,{}),offset:f({},i.offset,{arrayOk:!1}),width:f({},i.width,{arrayOk:!1}),marker:(n=f({},i.marker),delete n.pattern,n),connector:{fillcolor:{valType:\"color\",editType:\"style\"},line:{color:f({},a.color,{dflt:h.defaultLine}),width:f({},a.width,{dflt:0,editType:\"plot\"}),dash:a.dash,editType:\"style\"},visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},offsetgroup:i.offsetgroup,alignmentgroup:i.alignmentgroup}},{\"../../components/color\":662,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../bar/attributes\":937,\"../scatter/attributes\":1214,\"./constants\":1062}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/cartesian/align_period\"),a=t(\"./arrays_to_calcdata\"),o=t(\"../scatter/calc_selection\"),s=t(\"../../constants/numerical\").BADNUM;function l(t){return t===s?0:t}e.exports=function(t,e){var r,c,u,f,h,p,d=n.getFromId(t,e.xaxis||\"x\"),m=n.getFromId(t,e.yaxis||\"y\");\"h\"===e.orientation?(r=d.makeCalcdata(e,\"x\"),u=m.makeCalcdata(e,\"y\"),c=i(e,m,\"y\",u),p=!!e.yperiodalignment):(r=m.makeCalcdata(e,\"y\"),u=d.makeCalcdata(e,\"x\"),c=i(e,d,\"x\",u),p=!!e.xperiodalignment);var g,v=Math.min(c.length,r.length),y=new Array(v);for(e._base=[],f=0;f<v;f++){r[f]<0&&(r[f]=s);var x=!1;r[f]!==s&&f+1<v&&r[f+1]!==s&&(x=!0),h=y[f]={p:c[f],s:r[f],cNext:x},e._base[f]=-.5*h.s,p&&(y[f].orig_p=u[f]),e.ids&&(h.id=String(e.ids[f])),0===f&&(y[0].vTotal=0),y[0].vTotal+=l(h.s),h.begR=l(h.s)/l(y[0].s)}for(f=0;f<v;f++)(h=y[f]).s!==s&&(h.sumR=h.s/y[0].vTotal,h.difR=void 0!==g?h.s/g:1,g=h.s);return a(y,e),o(y,e),y}},{\"../../constants/numerical\":775,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/axes\":849,\"../scatter/calc_selection\":1216,\"./arrays_to_calcdata\":1059}],1062:[function(t,e,r){\"use strict\";e.exports={eventDataKeys:[\"percentInitial\",\"percentPrevious\",\"percentTotal\"]}},{}],1063:[function(t,e,r){\"use strict\";var n=t(\"../bar/cross_trace_calc\").setGroupPositions;e.exports=function(t,e){var r,i,a=t._fullLayout,o=t._fullData,s=t.calcdata,l=e.xaxis,c=e.yaxis,u=[],f=[],h=[];for(i=0;i<o.length;i++){var p=o[i],d=\"h\"===p.orientation;!0===p.visible&&p.xaxis===l._id&&p.yaxis===c._id&&\"funnel\"===p.type&&(r=s[i],d?h.push(r):f.push(r),u.push(r))}var m={mode:a.funnelmode,norm:a.funnelnorm,gap:a.funnelgap,groupgap:a.funnelgroupgap};for(n(t,l,c,f,m),n(t,c,l,h,m),i=0;i<u.length;i++){r=u[i];for(var g=0;g<r.length;g++)g+1<r.length&&(r[g].nextP0=r[g+1].p0,r[g].nextS0=r[g+1].s0,r[g].nextP1=r[g+1].p1,r[g].nextS1=r[g+1].s1)}}},{\"../bar/cross_trace_calc\":940}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../bar/defaults\").handleGroupingDefaults,a=t(\"../bar/defaults\").handleText,o=t(\"../scatter/xy_defaults\"),s=t(\"../scatter/period_defaults\"),l=t(\"./attributes\"),c=t(\"../../components/color\");e.exports={supplyDefaults:function(t,e,r,i){function u(r,i){return n.coerce(t,e,l,r,i)}if(o(t,e,i,u)){s(t,e,i,u),u(\"xhoverformat\"),u(\"yhoverformat\"),u(\"orientation\",e.y&&!e.x?\"v\":\"h\"),u(\"offset\"),u(\"width\");var f=u(\"text\");u(\"hovertext\"),u(\"hovertemplate\");var h=u(\"textposition\");a(t,e,i,u,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),\"none\"===e.textposition||e.texttemplate||u(\"textinfo\",Array.isArray(f)?\"text+value\":\"value\");var p=u(\"marker.color\",r);if(u(\"marker.line.color\",c.defaultLine),u(\"marker.line.width\"),u(\"connector.visible\"))u(\"connector.fillcolor\",function(t){var e=n.isArrayOrTypedArray(t)?\"#000\":t;return c.addOpacity(e,.5*c.opacity(e))}(p)),u(\"connector.line.width\")&&(u(\"connector.line.color\"),u(\"connector.line.dash\"))}else e.visible=!1},crossTraceDefaults:function(t,e){var r,a;function o(t){return n.coerce(a._input,a,l,t)}if(\"group\"===e.funnelmode)for(var s=0;s<t.length;s++)r=(a=t[s])._input,i(r,a,e,o)}}},{\"../../components/color\":662,\"../../lib\":799,\"../bar/defaults\":941,\"../scatter/period_defaults\":1234,\"../scatter/xy_defaults\":1241,\"./attributes\":1060}],1065:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.x=\"xVal\"in e?e.xVal:e.x,t.y=\"yVal\"in e?e.yVal:e.y,\"percentInitial\"in e&&(t.percentInitial=e.percentInitial),\"percentPrevious\"in e&&(t.percentPrevious=e.percentPrevious),\"percentTotal\"in e&&(t.percentTotal=e.percentTotal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],1066:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\").opacity,i=t(\"../bar/hover\").hoverOnBars,a=t(\"../../lib\").formatPercent;e.exports=function(t,e,r,o,s){var l=i(t,e,r,o,s);if(l){var c=l.cd,u=c[0].trace,f=\"h\"===u.orientation,h=c[l.index];l[(f?\"x\":\"y\")+\"LabelVal\"]=h.s,l.percentInitial=h.begR,l.percentInitialLabel=a(h.begR,1),l.percentPrevious=h.difR,l.percentPreviousLabel=a(h.difR,1),l.percentTotal=h.sumR,l.percentTotalLabel=a(h.sumR,1);var p=h.hi||u.hoverinfo,d=[];if(p&&\"none\"!==p&&\"skip\"!==p){var m=\"all\"===p,g=p.split(\"+\"),v=function(t){return m||-1!==g.indexOf(t)};v(\"percent initial\")&&d.push(l.percentInitialLabel+\" of initial\"),v(\"percent previous\")&&d.push(l.percentPreviousLabel+\" of previous\"),v(\"percent total\")&&d.push(l.percentTotalLabel+\" of total\")}return l.extraText=d.join(\"<br>\"),l.color=function(t,e){var r=t.marker,i=e.mc||r.color,a=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(i))return i;if(n(a)&&o)return a}(u,h),[l]}}},{\"../../components/color\":662,\"../../lib\":799,\"../bar/hover\":944}],1067:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,crossTraceDefaults:t(\"./defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\"),plot:t(\"./plot\"),style:t(\"./style\").style,hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"../bar/select\"),moduleType:\"trace\",name:\"funnel\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"bar-like\",\"cartesian\",\"svg\",\"oriented\",\"showLegend\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":863,\"../bar/select\":949,\"./attributes\":1060,\"./calc\":1061,\"./cross_trace_calc\":1063,\"./defaults\":1064,\"./event_data\":1065,\"./hover\":1066,\"./layout_attributes\":1068,\"./layout_defaults\":1069,\"./plot\":1070,\"./style\":1071}],1068:[function(t,e,r){\"use strict\";e.exports={funnelmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},funnelgap:{valType:\"number\",min:0,max:1,editType:\"calc\"},funnelgroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"}}},{}],1069:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e,r){var a=!1;function o(r,a){return n.coerce(t,e,i,r,a)}for(var s=0;s<r.length;s++){var l=r[s];if(l.visible&&\"funnel\"===l.type){a=!0;break}}a&&(o(\"funnelmode\"),o(\"funnelgap\",.2),o(\"funnelgroupgap\"))}},{\"../../lib\":799,\"./layout_attributes\":1068}],1070:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../bar/plot\"),l=t(\"../bar/uniform_text\").clearMinTextSize;function c(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),i[2]=o.c2p(t.nextS0,!0),a[2]=s.c2p(t.nextP0,!0),i[3]=o.c2p(t.nextS1,!0),a[3]=s.c2p(t.nextP1,!0),n?[i,a]:[a,i]}e.exports=function(t,e,r,u){var f=t._fullLayout;l(\"funnel\",f),function(t,e,r,s){var l=e.xaxis,u=e.yaxis;i.makeTraceGroups(s,r,\"trace bars\").each((function(r){var s=n.select(this),f=r[0].trace,h=i.ensureSingle(s,\"g\",\"regions\");if(f.connector&&f.connector.visible){var p=\"h\"===f.orientation,d=h.selectAll(\"g.region\").data(i.identity);d.enter().append(\"g\").classed(\"region\",!0),d.exit().remove();var m=d.size();d.each((function(r,s){if(s===m-1||r.cNext){var f=c(r,l,u,p),h=f[0],d=f[1],g=\"\";h[0]!==o&&d[0]!==o&&h[1]!==o&&d[1]!==o&&h[2]!==o&&d[2]!==o&&h[3]!==o&&d[3]!==o&&(g+=p?\"M\"+h[0]+\",\"+d[1]+\"L\"+h[2]+\",\"+d[2]+\"H\"+h[3]+\"L\"+h[1]+\",\"+d[1]+\"Z\":\"M\"+h[1]+\",\"+d[1]+\"L\"+h[2]+\",\"+d[3]+\"V\"+d[2]+\"L\"+h[1]+\",\"+d[0]+\"Z\"),\"\"===g&&(g=\"M0,0Z\"),i.ensureSingle(n.select(this),\"path\").attr(\"d\",g).call(a.setClipUrl,e.layerClipId,t)}}))}else h.remove()}))}(t,e,r,u),function(t,e,r,o){var s=e.xaxis,l=e.yaxis;i.makeTraceGroups(o,r,\"trace bars\").each((function(r){var o=n.select(this),u=r[0].trace,f=i.ensureSingle(o,\"g\",\"lines\");if(u.connector&&u.connector.visible&&u.connector.line.width){var h=\"h\"===u.orientation,p=f.selectAll(\"g.line\").data(i.identity);p.enter().append(\"g\").classed(\"line\",!0),p.exit().remove();var d=p.size();p.each((function(r,o){if(o===d-1||r.cNext){var u=c(r,s,l,h),f=u[0],p=u[1],m=\"\";void 0!==f[3]&&void 0!==p[3]&&(h?(m+=\"M\"+f[0]+\",\"+p[1]+\"L\"+f[2]+\",\"+p[2],m+=\"M\"+f[1]+\",\"+p[1]+\"L\"+f[3]+\",\"+p[2]):(m+=\"M\"+f[1]+\",\"+p[1]+\"L\"+f[2]+\",\"+p[3],m+=\"M\"+f[1]+\",\"+p[0]+\"L\"+f[2]+\",\"+p[2])),\"\"===m&&(m=\"M0,0Z\"),i.ensureSingle(n.select(this),\"path\").attr(\"d\",m).call(a.setClipUrl,e.layerClipId,t)}}))}else f.remove()}))}(t,e,r,u),s.plot(t,e,r,u,{mode:f.funnelmode,norm:f.funnelmode,gap:f.funnelgap,groupgap:f.funnelgroupgap})}},{\"../../components/drawing\":684,\"../../constants/numerical\":775,\"../../lib\":799,\"../bar/plot\":948,\"../bar/uniform_text\":953,\"@plotly/d3\":58}],1071:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../components/color\"),o=t(\"../../constants/interactions\").DESELECTDIM,s=t(\"../bar/style\"),l=t(\"../bar/uniform_text\").resizeText,c=s.styleTextPoints;e.exports={style:function(t,e,r){var s=r||n.select(t).selectAll(\"g.funnellayer\").selectAll(\"g.trace\");l(t,s,\"funnel\"),s.style(\"opacity\",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(\".point > path\").each((function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(a.fill,t.mc||e.color).call(a.stroke,t.mlc||e.line.color).call(i.dashLine,e.line.dash,t.mlw||e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(\".regions\").each((function(){n.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(a.fill,s.connector.fillcolor)})),r.selectAll(\".lines\").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll(\"path\"),t.width,t.color,t.dash)}))}))}}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../../constants/interactions\":774,\"../bar/style\":951,\"../bar/uniform_text\":953,\"@plotly/d3\":58}],1072:[function(t,e,r){\"use strict\";var n=t(\"../pie/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top left\",\"top center\",\"top right\"],dflt:\"top center\"}),editType:\"plot\"},domain:a({name:\"funnelarea\",trace:!0,editType:\"calc\"}),aspectratio:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},baseratio:{valType:\"number\",min:0,max:1,dflt:.333,editType:\"plot\"}}},{\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/domain\":877,\"../../plots/template_attributes\":922,\"../pie/attributes\":1188}],1073:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"funnelarea\",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\":913}],1074:[function(t,e,r){\"use strict\";var n=t(\"../pie/calc\");e.exports={calc:function(t,e){return n.calc(t,e)},crossTraceCalc:function(t){n.crossTraceCalc(t,{type:\"funnelarea\"})}}},{\"../pie/calc\":1190}],1075:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c(\"labels\"),f=c(\"values\"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,m=c(\"text\"),g=c(\"texttemplate\");if(g||(d=c(\"textinfo\",Array.isArray(m)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),g||d&&\"none\"!==d){var v=c(\"textposition\");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else e.visible=!1}},{\"../../lib\":799,\"../../plots/domain\":877,\"../bar/defaults\":941,\"../pie/defaults\":1191,\"./attributes\":1072}],1076:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":1199,\"./attributes\":1072,\"./base_plot\":1073,\"./calc\":1074,\"./defaults\":1075,\"./layout_attributes\":1077,\"./layout_defaults\":1078,\"./plot\":1079,\"./style\":1080}],1077:[function(t,e,r){\"use strict\";var n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1195}],1078:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":799,\"./layout_attributes\":1077}],1079:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../lib\"),o=a.strScale,s=a.strTranslate,l=t(\"../../lib/svg_text_utils\"),c=t(\"../bar/plot\").toMoveInsideBar,u=t(\"../bar/uniform_text\"),f=u.recordMinTextSize,h=u.clearMinTextSize,p=t(\"../pie/helpers\"),d=t(\"../pie/plot\"),m=d.attachFxHandlers,g=d.determineInsideTextFont,v=d.layoutAreas,y=d.prerenderTitles,x=d.positionTitleOutside,b=d.formatSliceLabel;function _(t,e){return\"l\"+(e[0]-t[0])+\",\"+(e[1]-t[1])}e.exports=function(t,e){var r=t._fullLayout;h(\"funnelarea\",r),y(e,t),v(e,r._size),a.makeTraceGroups(r._funnelarealayer,e,\"trace\").each((function(e){var u=n.select(this),h=e[0],d=h.trace;!function(t){if(!t.length)return;var e=t[0],r=e.trace,n=r.aspectratio,i=r.baseratio;i>.999&&(i=.999);var a,o=Math.pow(i,2),s=e.vTotal,l=s,c=s*o/(1-o)/s;function u(){var t,e={x:t=Math.sqrt(c),y:-t};return[e.x,e.y]}var f,h,p=[];for(p.push(u()),f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var d=h.v/l;c+=d,p.push(u())}var m=1/0,g=-1/0;for(f=0;f<p.length;f++)a=p[f],m=Math.min(m,a[1]),g=Math.max(g,a[1]);for(f=0;f<p.length;f++)p[f][1]-=(g+m)/2;var v=p[p.length-1][0],y=e.r,x=(g-m)/2,b=y/v,_=y/x*n;for(e.r=_*x,f=0;f<p.length;f++)p[f][0]*=b,p[f][1]*=_;var w=[-(a=p[0])[0],a[1]],T=[a[0],a[1]],k=0;for(f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var M=p[k+=1][0],A=p[k][1];h.TL=[-M,A],h.TR=[M,A],h.BL=w,h.BR=T,h.pxmid=(S=h.TR,E=h.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=h.TL,T=h.TR}var S,E}(e),u.each((function(){var u=n.select(this).selectAll(\"g.slice\").data(e);u.enter().append(\"g\").classed(\"slice\",!0),u.exit().remove(),u.each((function(o,s){if(o.hidden)n.select(this).selectAll(\"path,g\").remove();else{o.pointNumber=o.i,o.curveNumber=d.index;var u=h.cx,v=h.cy,y=n.select(this),x=y.selectAll(\"path.surface\").data([o]);x.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),y.call(m,t,e);var w=\"M\"+(u+o.TR[0])+\",\"+(v+o.TR[1])+_(o.TR,o.BR)+_(o.BR,o.BL)+_(o.BL,o.TL)+\"Z\";x.attr(\"d\",w),b(t,o,h);var T=p.castOption(d.textposition,o.pts),k=y.selectAll(\"g.slicetext\").data(o.text&&\"none\"!==T?[0]:[]);k.enter().append(\"g\").classed(\"slicetext\",!0),k.exit().remove(),k.each((function(){var h=a.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),p=a.ensureUniformFontSize(t,g(d,o,r.font));h.text(o.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(i.font,p).call(l.convertToTspans,t);var m,y,x,b=i.bBox(h.node()),_=Math.min(o.BL[1],o.BR[1])+v,w=Math.max(o.TL[1],o.TR[1])+v;y=Math.max(o.TL[0],o.BL[0])+u,x=Math.min(o.TR[0],o.BR[0])+u,(m=c(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=p.size,f(d.type,m,r),e[s].transform=m,h.attr(\"transform\",a.getTextTransform(m))}))}}));var v=n.select(this).selectAll(\"g.titletext\").data(d.title.text?[0]:[]);v.enter().append(\"g\").classed(\"titletext\",!0),v.exit().remove(),v.each((function(){var e=a.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=d.title.text;d._meta&&(c=a.templateString(c,d._meta)),e.text(c).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(i.font,d.title.font).call(l.convertToTspans,t);var u=x(h,r._size);e.attr(\"transform\",s(u.x,u.y)+o(Math.min(1,u.scale))+s(u.tx,u.ty))}))}))}))}},{\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../bar/plot\":948,\"../bar/uniform_text\":953,\"../pie/helpers\":1193,\"../pie/plot\":1197,\"@plotly/d3\":58}],1080:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../pie/style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(\".trace\");a(t,e,\"funnelarea\"),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\":953,\"../pie/style_one\":1199,\"@plotly/d3\":58}],1081:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({z:{valType:\"data_array\",editType:\"calc\"},x:l({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:l({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:l({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:l({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:l({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:l({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:l({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:l({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:l({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:l({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:l({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:l({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\",1),hovertemplate:o(),showlegend:l({},i.showlegend,{dflt:!1})},{transforms:void 0},s(\"\",{cLetter:\"z\",autoColorDflt:!1}))},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214}],1082:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../plots/cartesian/align_period\"),s=t(\"../histogram2d/calc\"),l=t(\"../../components/colorscale/calc\"),c=t(\"./convert_column_xyz\"),u=t(\"./clean_2d_array\"),f=t(\"./interp2d\"),h=t(\"./find_empties\"),p=t(\"./make_bound_array\"),d=t(\"../../constants/numerical\").BADNUM;function m(t){for(var e=[],r=t.length,n=0;n<r;n++){var i=t[n];i!==d&&e.push(i)}return e}e.exports=function(t,e){var r,g,v,y,x,b,_,w,T,k,M,A=a.getFromId(t,e.xaxis||\"x\"),S=a.getFromId(t,e.yaxis||\"y\"),E=n.traceIs(e,\"contour\"),L=n.traceIs(e,\"histogram\"),C=n.traceIs(e,\"gl2d\"),P=E?\"best\":e.zsmooth;if(A._minDtick=0,S._minDtick=0,L)y=(M=s(t,e)).orig_x,r=M.x,g=M.x0,v=M.dx,w=M.orig_y,x=M.y,b=M.y0,_=M.dy,T=M.z;else{var I=e.z;i.isArray1D(I)?(c(e,A,S,\"x\",\"y\",[\"z\"]),r=e._x,x=e._y,I=e._z):(y=e.x?A.makeCalcdata(e,\"x\"):[],w=e.y?S.makeCalcdata(e,\"y\"):[],r=o(e,A,\"x\",y),x=o(e,S,\"y\",w),e._x=r,e._y=x),g=e.x0,v=e.dx,b=e.y0,_=e.dy,T=u(I,e,A,S)}function O(t){P=e._input.zsmooth=e.zsmooth=!1,i.warn('cannot use zsmooth: \"fast\": '+t)}if((A.rangebreaks||S.rangebreaks)&&(T=function(t,e,r){for(var n=[],i=-1,a=0;a<r.length;a++)if(e[a]!==d){i++,n[i]=[];for(var o=0;o<r[a].length;o++)t[o]!==d&&n[i].push(r[a][o])}return n}(r,x,T),L||(r=m(r),x=m(x),e._x=r,e._y=x)),L||!E&&!e.connectgaps||(e._emptypoints=h(T),f(T,e._emptypoints)),\"fast\"===P)if(\"log\"===A.type||\"log\"===S.type)O(\"log axis found\");else if(!L){if(r.length){var z=(r[r.length-1]-r[0])/(r.length-1),D=Math.abs(z/100);for(k=0;k<r.length-1;k++)if(Math.abs(r[k+1]-r[k]-z)>D){O(\"x scale is not linear\");break}}if(x.length&&\"fast\"===P){var R=(x[x.length-1]-x[0])/(x.length-1),F=Math.abs(R/100);for(k=0;k<x.length-1;k++)if(Math.abs(x[k+1]-x[k]-R)>F){O(\"y scale is not linear\");break}}}var B=i.maxRowLength(T),N=\"scaled\"===e.xtype?\"\":r,j=p(e,N,g,v,B,A),U=\"scaled\"===e.ytype?\"\":x,V=p(e,U,b,_,T.length,S);C||(e._extremes[A._id]=a.findExtremes(A,j),e._extremes[S._id]=a.findExtremes(S,V));var q={x:j,y:V,z:T,text:e._text||e.text,hovertext:e._hovertext||e.hovertext};if(e.xperiodalignment&&y&&(q.orig_x=y),e.yperiodalignment&&w&&(q.orig_y=w),N&&N.length===j.length-1&&(q.xCenter=N),U&&U.length===V.length-1&&(q.yCenter=U),L&&(q.xRanges=M.xRanges,q.yRanges=M.yRanges,q.pts=M.pts),E||l(t,e,{vals:T,cLetter:\"z\"}),E&&e.contours&&\"heatmap\"===e.contours.coloring){var H={type:\"contour\"===e.type?\"heatmap\":\"histogram2d\",xcalendar:e.xcalendar,ycalendar:e.ycalendar};q.xfill=p(H,N,g,v,B,A),q.yfill=p(H,U,b,_,T.length,S)}return[q]}},{\"../../components/colorscale/calc\":670,\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"../histogram2d/calc\":1114,\"./clean_2d_array\":1083,\"./convert_column_xyz\":1085,\"./find_empties\":1087,\"./interp2d\":1090,\"./make_bound_array\":1091}],1083:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r,o){var s,l,c,u,f,h;function p(t){if(n(t))return+t}if(e&&e.transpose){for(s=0,f=0;f<t.length;f++)s=Math.max(s,t[f].length);if(0===s)return!1;c=function(t){return t.length},u=function(t,e,r){return(t[r]||[])[e]}}else s=t.length,c=function(t,e){return t[e].length},u=function(t,e,r){return(t[e]||[])[r]};var d=function(t,e,r){return e===a||r===a?a:u(t,e,r)};function m(t){if(e&&\"carpet\"!==e.type&&\"contourcarpet\"!==e.type&&t&&\"category\"===t.type&&e[\"_\"+t._id.charAt(0)].length){var r=t._id.charAt(0),n={},o=e[\"_\"+r+\"CategoryMap\"]||e[r];for(f=0;f<o.length;f++)n[o[f]]=f;return function(e){var r=n[t._categories[e]];return r+1?r:a}}return i.identity}var g=m(r),v=m(o);o&&\"category\"===o.type&&(s=o._categories.length);var y=new Array(s);for(f=0;f<s;f++)for(l=r&&\"category\"===r.type?r._categories.length:c(t,f),y[f]=new Array(l),h=0;h<l;h++)y[f][h]=p(d(t,v(f),g(h)));return y}},{\"../../constants/numerical\":775,\"../../lib\":799,\"fast-isnumeric\":245}],1084:[function(t,e,r){\"use strict\";e.exports={min:\"zmin\",max:\"zmax\"}},{}],1085:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/cartesian/align_period\");e.exports=function(t,e,r,o,s,l){var c=t._length,u=e.makeCalcdata(t,o),f=r.makeCalcdata(t,s);u=a(t,e,o,u),f=a(t,r,s,f);var h,p,d,m,g=t.text,v=void 0!==g&&n.isArray1D(g),y=t.hovertext,x=void 0!==y&&n.isArray1D(y),b=n.distinctVals(u),_=b.vals,w=n.distinctVals(f),T=w.vals,k=[],M=T.length,A=_.length;for(h=0;h<l.length;h++)k[h]=n.init2dArray(M,A);v&&(d=n.init2dArray(M,A)),x&&(m=n.init2dArray(M,A));var S=n.init2dArray(M,A);for(h=0;h<c;h++)if(u[h]!==i&&f[h]!==i){var E=n.findBin(u[h]+b.minDiff/2,_),L=n.findBin(f[h]+w.minDiff/2,T);for(p=0;p<l.length;p++){var C=t[l[p]];k[p][L][E]=C[h],S[L][E]=h}v&&(d[L][E]=g[h]),x&&(m[L][E]=y[h])}for(t[\"_\"+o]=_,t[\"_\"+s]=T,p=0;p<l.length;p++)t[\"_\"+l[p]]=k[p];v&&(t._text=d),x&&(t._hovertext=m),e&&\"category\"===e.type&&(t[\"_\"+o+\"CategoryMap\"]=_.map((function(t){return e._categories[t]}))),r&&\"category\"===r.type&&(t[\"_\"+s+\"CategoryMap\"]=T.map((function(t){return r._categories[t]}))),t._after2before=S}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/align_period\":846}],1086:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./xyz_defaults\"),a=t(\"../scatter/period_defaults\"),o=t(\"./style_defaults\"),s=t(\"../../components/colorscale/defaults\"),l=t(\"./attributes\");e.exports=function(t,e,r,c){function u(r,i){return n.coerce(t,e,l,r,i)}i(t,e,u,c)?(a(t,e,c,u),u(\"xhoverformat\"),u(\"yhoverformat\"),u(\"text\"),u(\"hovertext\"),u(\"hovertemplate\"),o(t,e,u,c),u(\"hoverongaps\"),u(\"connectgaps\",n.isArray1D(e.z)&&!1!==e.zsmooth),s(t,e,c,u,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"../scatter/period_defaults\":1234,\"./attributes\":1081,\"./style_defaults\":1094,\"./xyz_defaults\":1095}],1087:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").maxRowLength;e.exports=function(t){var e,r,i,a,o,s,l,c,u=[],f={},h=[],p=t[0],d=[],m=[0,0,0],g=n(t);for(r=0;r<t.length;r++)for(e=d,d=p,p=t[r+1]||[],i=0;i<g;i++)void 0===d[i]&&((s=(void 0!==d[i-1]?1:0)+(void 0!==d[i+1]?1:0)+(void 0!==e[i]?1:0)+(void 0!==p[i]?1:0))?(0===r&&s++,0===i&&s++,r===t.length-1&&s++,i===d.length-1&&s++,s<4&&(f[[r,i]]=[r,i,s]),u.push([r,i,s])):h.push([r,i]));for(;h.length;){for(l={},c=!1,o=h.length-1;o>=0;o--)(s=((f[[(r=(a=h[o])[0])-1,i=a[1]]]||m)[2]+(f[[r+1,i]]||m)[2]+(f[[r,i-1]]||m)[2]+(f[[r,i+1]]||m)[2])/20)&&(l[a]=[r,i,s],h.splice(o,1),c=!0);if(!c)throw\"findEmpties iterated with no new neighbors\";for(a in l)f[a]=l[a],u.push(l[a])}return u.sort((function(t,e){return e[2]-t[2]}))}},{\"../../lib\":799}],1088:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../components/colorscale\").extractOpts;e.exports=function(t,e,r,s,l){l||(l={});var c,u,f,h,p=l.isContour,d=t.cd[0],m=d.trace,g=t.xa,v=t.ya,y=d.x,x=d.y,b=d.z,_=d.xCenter,w=d.yCenter,T=d.zmask,k=m.zhoverformat,M=y,A=x;if(!1!==t.index){try{f=Math.round(t.index[1]),h=Math.round(t.index[0])}catch(e){return void i.error(\"Error hovering on heatmap, pointNumber must be [row,col], found:\",t.index)}if(f<0||f>=b[0].length||h<0||h>b.length)return}else{if(n.inbox(e-y[0],e-y[y.length-1],0)>0||n.inbox(r-x[0],r-x[x.length-1],0)>0)return;if(p){var S;for(M=[2*y[0]-y[1]],S=1;S<y.length;S++)M.push((y[S]+y[S-1])/2);for(M.push([2*y[y.length-1]-y[y.length-2]]),A=[2*x[0]-x[1]],S=1;S<x.length;S++)A.push((x[S]+x[S-1])/2);A.push([2*x[x.length-1]-x[x.length-2]])}f=Math.max(0,Math.min(M.length-2,i.findBin(e,M))),h=Math.max(0,Math.min(A.length-2,i.findBin(r,A)))}var E,L,C=g.c2p(y[f]),P=g.c2p(y[f+1]),I=v.c2p(x[h]),O=v.c2p(x[h+1]);p?(E=d.orig_x||y,L=d.orig_y||x,P=C,c=E[f],O=I,u=L[h]):(E=d.orig_x||_||y,L=d.orig_y||w||x,c=_?E[f]:(E[f]+E[f+1])/2,u=w?L[h]:(L[h]+L[h+1])/2,g&&\"category\"===g.type&&(c=y[f]),v&&\"category\"===v.type&&(u=x[h]),m.zsmooth&&(C=P=g.c2p(c),I=O=v.c2p(u)));var z=b[h][f];if(T&&!T[h][f]&&(z=void 0),void 0!==z||m.hoverongaps){var D;Array.isArray(d.hovertext)&&Array.isArray(d.hovertext[h])?D=d.hovertext[h][f]:Array.isArray(d.text)&&Array.isArray(d.text[h])&&(D=d.text[h][f]);var R=o(m),F={type:\"linear\",range:[R.min,R.max],hoverformat:k,_separators:g._separators,_numFormat:g._numFormat},B=a.tickText(F,z,\"hover\").text;return[i.extendFlat(t,{index:m._after2before?m._after2before[h][f]:[h,f],distance:t.maxHoverDistance,spikeDistance:t.maxSpikeDistance,x0:C,x1:P,y0:I,y1:O,xLabelVal:c,yLabelVal:u,zLabelVal:z,zLabel:B,text:D})]}}},{\"../../components/colorscale\":674,\"../../components/fx\":702,\"../../lib\":799,\"../../plots/cartesian/axes\":849}],1089:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:t(\"./colorbar\"),style:t(\"./style\"),hoverPoints:t(\"./hover\"),moduleType:\"trace\",name:\"heatmap\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"2dMap\",\"showLegend\"],meta:{}}},{\"../../plots/cartesian\":863,\"./attributes\":1081,\"./calc\":1082,\"./colorbar\":1084,\"./defaults\":1086,\"./hover\":1088,\"./plot\":1092,\"./style\":1093}],1090:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=[[-1,0],[1,0],[0,-1],[0,1]];function a(t){return.5-.25*Math.min(1,.5*t)}function o(t,e,r){var n,a,o,s,l,c,u,f,h,p,d,m,g,v=0;for(s=0;s<e.length;s++){for(a=(n=e[s])[0],o=n[1],d=t[a][o],p=0,h=0,l=0;l<4;l++)(u=t[a+(c=i[l])[0]])&&void 0!==(f=u[o+c[1]])&&(0===p?m=g=f:(m=Math.min(m,f),g=Math.max(g,f)),h++,p+=f);if(0===h)throw\"iterateInterp2d order is wrong: no defined neighbors\";t[a][o]=p/h,void 0===d?h<4&&(v=1):(t[a][o]=(1+r)*t[a][o]-r*d,g>m&&(v=Math.max(v,Math.abs(t[a][o]-d)/(g-m))))}return v}e.exports=function(t,e){var r,i=1;for(o(t,e),r=0;r<e.length&&!(e[r][2]<4);r++);for(e=e.slice(r),r=0;r<100&&i>.01;r++)i=o(t,e,a(i));return i>.01&&n.log(\"interp2d didn't converge quickly\",i),t}},{\"../../lib\":799}],1091:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t,e,r,a,o,s){var l,c,u,f=[],h=n.traceIs(t,\"contour\"),p=n.traceIs(t,\"histogram\"),d=n.traceIs(t,\"gl2d\");if(i(e)&&e.length>1&&!p&&\"category\"!==s.type){var m=e.length;if(!(m<=o))return h?e.slice(0,o):e.slice(0,o+1);if(h||d)f=e.slice(0,o);else if(1===o)f=[e[0]-.5,e[0]+.5];else{for(f=[1.5*e[0]-.5*e[1]],u=1;u<m;u++)f.push(.5*(e[u-1]+e[u]));f.push(1.5*e[m-1]-.5*e[m-2])}if(m<o){var g=f[f.length-1],v=g-f[f.length-2];for(u=m;u<o;u++)g+=v,f.push(g)}}else{var y=t[s._id.charAt(0)+\"calendar\"];if(p)l=s.r2c(r,0,y);else if(i(e)&&1===e.length)l=e[0];else if(void 0===r)l=0;else{l=(\"log\"===s.type?s.d2c:s.r2c)(r,0,y)}for(c=a||1,u=h||d?0:-.5;u<o;u++)f.push(l+c*u)}return f}},{\"../../lib\":799,\"../../registry\":927}],1092:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/colorscale\").makeColorScaleFuncFromTrace,l=t(\"../../constants/xmlns_namespaces\");function c(t,e){var r=e.length-2,n=o.constrain(o.findBin(t,e),0,r),i=e[n],a=e[n+1],s=o.constrain(n+(t-i)/(a-i)-.5,0,r),l=Math.round(s),c=Math.abs(s-l);return s&&s!==r&&c?{bin0:l,frac:c,bin1:Math.round(l+c/(s-l))}:{bin0:l,bin1:l,frac:0}}function u(t,e){var r=e.length-1,n=o.constrain(o.findBin(t,e),0,r),i=e[n],a=(t-i)/(e[n+1]-i)||0;return a<=0?{bin0:n,bin1:n,frac:0}:a<.5?{bin0:n,bin1:n+1,frac:a}:{bin0:n+1,bin1:n,frac:1-a}}function f(t,e,r){t[e]=r[0],t[e+1]=r[1],t[e+2]=r[2],t[e+3]=Math.round(255*r[3])}e.exports=function(t,e,r,h){var p=e.xaxis,d=e.yaxis;o.makeTraceGroups(h,r,\"hm\").each((function(e){var r,h,m,g,v,y,x=n.select(this),b=e[0],_=b.trace,w=b.z,T=b.x,k=b.y,M=b.xCenter,A=b.yCenter,S=a.traceIs(_,\"contour\"),E=S?\"best\":_.zsmooth,L=w.length,C=o.maxRowLength(w),P=!1,I=!1;for(y=0;void 0===r&&y<T.length-1;)r=p.c2p(T[y]),y++;for(y=T.length-1;void 0===h&&y>0;)h=p.c2p(T[y]),y--;for(h<r&&(m=h,h=r,r=m,P=!0),y=0;void 0===g&&y<k.length-1;)g=d.c2p(k[y]),y++;for(y=k.length-1;void 0===v&&y>0;)v=d.c2p(k[y]),y--;if(v<g&&(m=g,g=v,v=m,I=!0),S&&(M=T,A=k,T=b.xfill,k=b.yfill),\"fast\"!==E){var O=\"best\"===E?0:.5;r=Math.max(-O*p._length,r),h=Math.min((1+O)*p._length,h),g=Math.max(-O*d._length,g),v=Math.min((1+O)*d._length,v)}var z=Math.round(h-r),D=Math.round(v-g);if(z<=0||D<=0){x.selectAll(\"image\").data([]).exit().remove()}else{var R,F;\"fast\"===E?(R=C,F=L):(R=z,F=D);var B=document.createElement(\"canvas\");B.width=R,B.height=F;var N,j,U=B.getContext(\"2d\"),V=s(_,{noNumericCheck:!0,returnArray:!0});\"fast\"===E?(N=P?function(t){return C-1-t}:o.identity,j=I?function(t){return L-1-t}:o.identity):(N=function(t){return o.constrain(Math.round(p.c2p(T[t])-r),0,z)},j=function(t){return o.constrain(Math.round(d.c2p(k[t])-g),0,D)});var q,H,G,Y,W,X=j(0),Z=[X,X],J=P?0:1,K=I?0:1,Q=0,$=0,tt=0,et=0;if(E){var rt,nt=0;try{rt=new Uint8Array(z*D*4)}catch(t){rt=new Array(z*D*4)}if(\"best\"===E){var it,at,ot,st=M||T,lt=A||k,ct=new Array(st.length),ut=new Array(lt.length),ft=new Array(z),ht=M?u:c,pt=A?u:c;for(y=0;y<st.length;y++)ct[y]=Math.round(p.c2p(st[y])-r);for(y=0;y<lt.length;y++)ut[y]=Math.round(d.c2p(lt[y])-g);for(y=0;y<z;y++)ft[y]=ht(y,ct);for(H=0;H<D;H++)for(at=w[(it=pt(H,ut)).bin0],ot=w[it.bin1],y=0;y<z;y++,nt+=4)f(rt,nt,W=kt(at,ot,ft[y],it))}else for(H=0;H<L;H++)for(Y=w[H],Z=j(H),y=0;y<z;y++)W=Tt(Y[y],1),f(rt,nt=4*(Z*z+N(y)),W);var dt=U.createImageData(z,D);try{dt.data.set(rt)}catch(t){var mt=dt.data,gt=mt.length;for(H=0;H<gt;H++)mt[H]=rt[H]}U.putImageData(dt,0,0)}else{var vt=_.xgap,yt=_.ygap,xt=Math.floor(vt/2),bt=Math.floor(yt/2);for(H=0;H<L;H++)if(Y=w[H],Z.reverse(),Z[K]=j(H+1),Z[0]!==Z[1]&&void 0!==Z[0]&&void 0!==Z[1])for(q=[G=N(0),G],y=0;y<C;y++)q.reverse(),q[J]=N(y+1),q[0]!==q[1]&&void 0!==q[0]&&void 0!==q[1]&&(W=Tt(Y[y],(q[1]-q[0])*(Z[1]-Z[0])),U.fillStyle=\"rgba(\"+W.join(\",\")+\")\",U.fillRect(q[0]+xt,Z[0]+bt,q[1]-q[0]-vt,Z[1]-Z[0]-yt))}$=Math.round($/Q),tt=Math.round(tt/Q),et=Math.round(et/Q);var _t=i(\"rgb(\"+$+\",\"+tt+\",\"+et+\")\");t._hmpixcount=(t._hmpixcount||0)+Q,t._hmlumcount=(t._hmlumcount||0)+Q*_t.getLuminance();var wt=x.selectAll(\"image\").data(e);wt.enter().append(\"svg:image\").attr({xmlns:l.svg,preserveAspectRatio:\"none\"}),wt.attr({height:D,width:z,x:r,y:g,\"xlink:href\":B.toDataURL(\"image/png\")})}function Tt(t,e){if(void 0!==t){var r=V(t);return r[0]=Math.round(r[0]),r[1]=Math.round(r[1]),r[2]=Math.round(r[2]),Q+=e,$+=r[0]*e,tt+=r[1]*e,et+=r[2]*e,r}return[0,0,0,0]}function kt(t,e,r,n){var i=t[r.bin0];if(void 0===i)return Tt(void 0,1);var a,o=t[r.bin1],s=e[r.bin0],l=e[r.bin1],c=o-i||0,u=s-i||0;return a=void 0===o?void 0===l?0:void 0===s?2*(l-i):2*(2*l-s-i)/3:void 0===l?void 0===s?0:2*(2*i-o-s)/3:void 0===s?2*(2*l-o-i)/3:l+i-o-s,Tt(i+r.frac*c+n.frac*(u+r.frac*a))}}))}},{\"../../components/colorscale\":674,\"../../constants/xmlns_namespaces\":776,\"../../lib\":799,\"../../registry\":927,\"@plotly/d3\":58,tinycolor2:594}],1093:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\");e.exports=function(t){n.select(t).selectAll(\".hm image\").style(\"opacity\",(function(t){return t.trace.opacity}))}},{\"@plotly/d3\":58}],1094:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){!1===r(\"zsmooth\")&&(r(\"xgap\"),r(\"ygap\")),r(\"zhoverformat\")}},{}],1095:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../registry\");function o(t,e){var r=e(t);return\"scaled\"===(r?e(t+\"type\",\"array\"):\"scaled\")&&(e(t+\"0\"),e(\"d\"+t)),r}e.exports=function(t,e,r,s,l,c){var u,f,h=r(\"z\");if(l=l||\"x\",c=c||\"y\",void 0===h||!h.length)return 0;if(i.isArray1D(t.z)){u=r(l),f=r(c);var p=i.minRowLength(u),d=i.minRowLength(f);if(0===p||0===d)return 0;e._length=Math.min(p,d,h.length)}else{if(u=o(l,r),f=o(c,r),!function(t){for(var e,r=!0,a=!1,o=!1,s=0;s<t.length;s++){if(e=t[s],!i.isArrayOrTypedArray(e)){r=!1;break}e.length>0&&(a=!0);for(var l=0;l<e.length;l++)if(n(e[l])){o=!0;break}}return r&&a&&o}(h))return 0;r(\"transpose\"),e._length=null}return\"heatmapgl\"===t.type||a.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[l,c],s),!0}},{\"../../lib\":799,\"../../registry\":927,\"fast-isnumeric\":245}],1096:[function(t,e,r){\"use strict\";for(var n=t(\"../heatmap/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../lib/extend\").extendFlat,o=t(\"../../plot_api/edit_types\").overrideAll,s=[\"z\",\"x\",\"x0\",\"dx\",\"y\",\"y0\",\"dy\",\"text\",\"transpose\",\"xtype\",\"ytype\"],l={},c=0;c<s.length;c++){var u=s[c];l[u]=n[u]}l.zsmooth={valType:\"enumerated\",values:[\"fast\",!1],dflt:\"fast\",editType:\"calc\"},a(l,i(\"\",{cLetter:\"z\",autoColorDflt:!1})),e.exports=o(l,\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../heatmap/attributes\":1081}],1097:[function(t,e,r){\"use strict\";var n=t(\"gl-heatmap2d\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function o(t,e){this.scene=t,this.uid=e,this.type=\"heatmapgl\",this.name=\"\",this.hoverinfo=\"all\",this.xData=[],this.yData=[],this.zData=[],this.textLabels=[],this.idToIndex=[],this.bounds=[0,0,0,0],this.options={zsmooth:\"fast\",z:[],x:[],y:[],shape:[0,0],colorLevels:[0],colorValues:[0,0,0,1]},this.heatmap=n(t.glplot,this.options),this.heatmap._trace=this}var s=o.prototype;s.handlePick=function(t){var e=this.options,r=e.shape,n=t.pointId,i=n%r[0],a=Math.floor(n/r[0]),o=n;return{trace:this,dataCoord:t.dataCoord,traceCoord:[e.x[i],e.y[a],e.z[o]],textLabel:this.textLabels[n],name:this.name,pointIndex:[a,i],hoverinfo:this.hoverinfo}},s.update=function(t,e){var r=e[0];this.index=t.index,this.name=t.name,this.hoverinfo=t.hoverinfo;var n=r.z;this.options.z=[].concat.apply([],n);var o=n[0].length,s=n.length;this.options.shape=[o,s],this.options.x=r.x,this.options.y=r.y,this.options.zsmooth=t.zsmooth;var l=function(t){for(var e=t.colorscale,r=t.zmin,n=t.zmax,i=e.length,o=new Array(i),s=new Array(4*i),l=0;l<i;l++){var c=e[l],u=a(c[1]);o[l]=r+c[0]*(n-r);for(var f=0;f<4;f++)s[4*l+f]=u[f]}return{colorLevels:o,colorValues:s}}(t);this.options.colorLevels=l.colorLevels,this.options.colorValues=l.colorValues,this.textLabels=[].concat.apply([],t.text),this.heatmap.update(this.options);var c,u,f=this.scene.xaxis,h=this.scene.yaxis;!1===t.zsmooth&&(c={ppad:r.x[1]-r.x[0]},u={ppad:r.y[1]-r.y[0]}),t._extremes[f._id]=i.findExtremes(f,r.x,c),t._extremes[h._id]=i.findExtremes(h,r.y,u)},s.dispose=function(){this.heatmap.dispose()},e.exports=function(t,e,r){var n=new o(t,e.uid);return n.update(e,r),n}},{\"../../lib/str2rgbarray\":823,\"../../plots/cartesian/axes\":849,\"gl-heatmap2d\":274}],1098:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../heatmap/xyz_defaults\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,l,s)?(l(\"text\"),l(\"zsmooth\"),a(t,e,s,l,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"../heatmap/xyz_defaults\":1095,\"./attributes\":1096}],1099:[function(t,e,r){\"use strict\";[\"*heatmapgl* trace is deprecated!\",\"Please consider switching to the *heatmap* or *image* trace types.\",\"Alternatively you could contribute/sponsor rewriting this trace type\",\"based on cartesian features and using regl framework.\"].join(\" \");e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../heatmap/colorbar\"),calc:t(\"../heatmap/calc\"),plot:t(\"./convert\"),moduleType:\"trace\",name:\"heatmapgl\",basePlotModule:t(\"../../plots/gl2d\"),categories:[\"gl\",\"gl2d\",\"2dMap\"],meta:{}}},{\"../../plots/gl2d\":890,\"../heatmap/calc\":1082,\"../heatmap/colorbar\":1084,\"./attributes\":1096,\"./convert\":1097,\"./defaults\":1098}],1100:[function(t,e,r){\"use strict\";var n=t(\"../bar/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"./bin_attributes\"),s=t(\"./constants\"),l=t(\"../../lib/extend\").extendFlat;e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),text:l({},n.text,{}),hovertext:l({},n.hovertext,{}),orientation:n.orientation,histfunc:{valType:\"enumerated\",values:[\"count\",\"sum\",\"avg\",\"min\",\"max\"],dflt:\"count\",editType:\"calc\"},histnorm:{valType:\"enumerated\",values:[\"\",\"percent\",\"probability\",\"density\",\"probability density\"],dflt:\"\",editType:\"calc\"},cumulative:{enabled:{valType:\"boolean\",dflt:!1,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"increasing\",\"decreasing\"],dflt:\"increasing\",editType:\"calc\"},currentbin:{valType:\"enumerated\",values:[\"include\",\"exclude\",\"half\"],dflt:\"include\",editType:\"calc\"},editType:\"calc\"},nbinsx:{valType:\"integer\",min:0,dflt:0,editType:\"calc\"},xbins:o(\"x\",!0),nbinsy:{valType:\"integer\",min:0,dflt:0,editType:\"calc\"},ybins:o(\"y\",!0),autobinx:{valType:\"boolean\",dflt:null,editType:\"calc\"},autobiny:{valType:\"boolean\",dflt:null,editType:\"calc\"},bingroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({},{keys:s.eventDataKeys}),marker:n.marker,offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup,selected:n.selected,unselected:n.unselected,_deprecated:{bardir:n._deprecated.bardir}}},{\"../../lib/extend\":789,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../bar/attributes\":937,\"./bin_attributes\":1102,\"./constants\":1106}],1101:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=t.length,n=0,i=0;i<r;i++)e[i]?(t[i]/=e[i],n+=t[i]):t[i]=null;return n}},{}],1102:[function(t,e,r){\"use strict\";e.exports=function(t,e){return{start:{valType:\"any\",editType:\"calc\"},end:{valType:\"any\",editType:\"calc\"},size:{valType:\"any\",editType:\"calc\"},editType:\"calc\"}}},{}],1103:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\");e.exports={count:function(t,e,r){return r[t]++,1},sum:function(t,e,r,i){var a=i[e];return n(a)?(a=Number(a),r[t]+=a,a):0},avg:function(t,e,r,i,a){var o=i[e];return n(o)&&(o=Number(o),r[t]+=o,a[t]++),0},min:function(t,e,r,i){var a=i[e];if(n(a)){if(a=Number(a),!n(r[t]))return r[t]=a,a;if(r[t]>a){var o=a-r[t];return r[t]=a,o}}return 0},max:function(t,e,r,i){var a=i[e];if(n(a)){if(a=Number(a),!n(r[t]))return r[t]=a,a;if(r[t]<a){var o=a-r[t];return r[t]=a,o}}return 0}}},{\"fast-isnumeric\":245}],1104:[function(t,e,r){\"use strict\";var n=t(\"../../constants/numerical\"),i=n.ONEAVGYEAR,a=n.ONEAVGMONTH,o=n.ONEDAY,s=n.ONEHOUR,l=n.ONEMIN,c=n.ONESEC,u=t(\"../../plots/cartesian/axes\").tickIncrement;function f(t,e,r,n){if(t*e<=0)return 1/0;for(var i=Math.abs(e-t),a=\"date\"===r.type,o=h(i,a),s=0;s<10;s++){var l=h(80*o,a);if(o===l)break;if(!p(l,t,e,a,r,n))break;o=l}return o}function h(t,e){return e&&t>c?t>o?t>1.1*i?i:t>1.1*a?a:o:t>s?s:t>l?l:c:Math.pow(10,Math.floor(Math.log(t)/Math.LN10))}function p(t,e,r,n,a,s){if(n&&t>o){var l=d(e,a,s),c=d(r,a,s),u=t===i?0:1;return l[u]!==c[u]}return Math.floor(r/t)-Math.floor(e/t)>.1}function d(t,e,r){var n=e.c2d(t,i,r).split(\"-\");return\"\"===n[0]&&(n.unshift(),n[0]=\"-\"+n[0]),n}e.exports=function(t,e,r,n,a){var s,l,c=-1.1*e,h=-.1*e,p=t-h,d=r[0],m=r[1],g=Math.min(f(d+h,d+p,n,a),f(m+h,m+p,n,a)),v=Math.min(f(d+c,d+h,n,a),f(m+c,m+h,n,a));if(g>v&&v<Math.abs(m-d)/4e3?(s=g,l=!1):(s=Math.min(g,v),l=!0),\"date\"===n.type&&s>o){var y=s===i?1:6,x=s===i?\"M12\":\"M1\";return function(e,r){var o=n.c2d(e,i,a),s=o.indexOf(\"-\",y);s>0&&(o=o.substr(0,s));var c=n.d2c(o,0,a);if(c<e){var f=u(c,x,!1,a);(c+f)/2<e+t&&(c=f)}return r&&l?u(c,x,!0,a):c}}return function(e,r){var n=s*Math.round(e/s);return n+s/10<e&&n+.9*s<e+t&&(n+=s),r&&l&&(n-=s),n}}},{\"../../constants/numerical\":775,\"../../plots/cartesian/axes\":849}],1105:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../bar/arrays_to_calcdata\"),l=t(\"./bin_functions\"),c=t(\"./norm_functions\"),u=t(\"./average\"),f=t(\"./bin_label_vals\");function h(t,e,r,s,l){var c,u,f,p,d,m,g,v=s+\"bins\",y=t._fullLayout,x=e[\"_\"+s+\"bingroup\"],b=y._histogramBinOpts[x],_=\"overlay\"===y.barmode,w=function(t){return r.r2c(t,0,p)},T=function(t){return r.c2r(t,0,p)},k=\"date\"===r.type?function(t){return t||0===t?i.cleanDate(t,null,p):null}:function(t){return n(t)?Number(t):null};function M(t,e,r){e[t+\"Found\"]?(e[t]=k(e[t]),null===e[t]&&(e[t]=r[t])):(m[t]=e[t]=r[t],i.nestedProperty(u[0],v+\".\"+t).set(r[t]))}if(e[\"_\"+s+\"autoBinFinished\"])delete e[\"_\"+s+\"autoBinFinished\"];else{u=b.traces;var A=[],S=!0,E=!1,L=!1;for(c=0;c<u.length;c++)if((f=u[c]).visible){var C=b.dirs[c];d=f[\"_\"+C+\"pos0\"]=r.makeCalcdata(f,C),A=i.concat(A,d),delete f[\"_\"+s+\"autoBinFinished\"],!0===e.visible&&(S?S=!1:(delete f._autoBin,f[\"_\"+s+\"autoBinFinished\"]=1),a.traceIs(f,\"2dMap\")&&(E=!0),\"histogram2dcontour\"===f.type&&(L=!0))}p=u[0][s+\"calendar\"];var P=o.autoBin(A,r,b.nbins,E,p,b.sizeFound&&b.size),I=u[0]._autoBin={};if(m=I[b.dirs[0]]={},L&&(b.size||(P.start=T(o.tickIncrement(w(P.start),P.size,!0,p))),void 0===b.end&&(P.end=T(o.tickIncrement(w(P.end),P.size,!1,p)))),_&&!a.traceIs(e,\"2dMap\")&&0===P._dataSpan&&\"category\"!==r.type&&\"multicategory\"!==r.type){if(l)return[P,d,!0];P=function(t,e,r,n,a){var o,s,l,c=t._fullLayout,u=function(t,e){for(var r=e.xaxis,n=e.yaxis,i=e.orientation,a=[],o=t._fullData,s=0;s<o.length;s++){var l=o[s];\"histogram\"===l.type&&!0===l.visible&&l.orientation===i&&l.xaxis===r&&l.yaxis===n&&a.push(l)}return a}(t,e),f=!1,p=1/0,d=[e];for(o=0;o<u.length;o++)if((s=u[o])===e)f=!0;else if(f){var m=h(t,s,r,n,!0),g=m[0],v=m[2];s[\"_\"+n+\"autoBinFinished\"]=1,s[\"_\"+n+\"pos0\"]=m[1],v?d.push(s):p=Math.min(p,g.size)}else l=c._histogramBinOpts[s[\"_\"+n+\"bingroup\"]],p=Math.min(p,l.size||s[a].size);var y=new Array(d.length);for(o=0;o<d.length;o++)for(var x=d[o][\"_\"+n+\"pos0\"],b=0;b<x.length;b++)if(void 0!==x[b]){y[o]=x[b];break}isFinite(p)||(p=i.distinctVals(y).minDiff);for(o=0;o<d.length;o++){var _=(s=d[o])[n+\"calendar\"],w={start:r.c2r(y[o]-p/2,0,_),end:r.c2r(y[o]+p/2,0,_),size:p};s._input[a]=s[a]=w,(l=c._histogramBinOpts[s[\"_\"+n+\"bingroup\"]])&&i.extendFlat(l,w)}return e[a]}(t,e,r,s,v)}(g=f.cumulative||{}).enabled&&\"include\"!==g.currentbin&&(\"decreasing\"===g.direction?P.start=T(o.tickIncrement(w(P.start),P.size,!0,p)):P.end=T(o.tickIncrement(w(P.end),P.size,!1,p))),b.size=P.size,b.sizeFound||(m.size=P.size,i.nestedProperty(u[0],v+\".size\").set(P.size)),M(\"start\",b,P),M(\"end\",b,P)}d=e[\"_\"+s+\"pos0\"],delete e[\"_\"+s+\"pos0\"];var O=e._input[v]||{},z=i.extendFlat({},b),D=b.start,R=r.r2l(O.start),F=void 0!==R;if((b.startFound||F)&&R!==r.r2l(D)){var B=F?R:i.aggNums(Math.min,null,d),N={type:\"category\"===r.type||\"multicategory\"===r.type?\"linear\":r.type,r2l:r.r2l,dtick:b.size,tick0:D,calendar:p,range:[B,o.tickIncrement(B,b.size,!1,p)].map(r.l2r)},j=o.tickFirst(N);j>r.r2l(B)&&(j=o.tickIncrement(j,b.size,!0,p)),z.start=r.l2r(j),F||i.nestedProperty(e,v+\".start\").set(z.start)}var U=b.end,V=r.r2l(O.end),q=void 0!==V;if((b.endFound||q)&&V!==r.r2l(U)){var H=q?V:i.aggNums(Math.max,null,d);z.end=r.l2r(H),q||i.nestedProperty(e,v+\".start\").set(z.end)}var G=\"autobin\"+s;return!1===e._input[G]&&(e._input[v]=i.extendFlat({},e[v]||{}),delete e._input[G],delete e[G]),[z,d]}e.exports={calc:function(t,e){var r,a,p,d,m=[],g=[],v=o.getFromId(t,\"h\"===e.orientation?e.yaxis:e.xaxis),y=\"h\"===e.orientation?\"y\":\"x\",x={x:\"y\",y:\"x\"}[y],b=e[y+\"calendar\"],_=e.cumulative,w=h(t,e,v,y),T=w[0],k=w[1],M=\"string\"==typeof T.size,A=[],S=M?A:T,E=[],L=[],C=[],P=0,I=e.histnorm,O=e.histfunc,z=-1!==I.indexOf(\"density\");_.enabled&&z&&(I=I.replace(/ ?density$/,\"\"),z=!1);var D,R=\"max\"===O||\"min\"===O?null:0,F=l.count,B=c[I],N=!1,j=function(t){return v.r2c(t,0,b)};for(i.isArrayOrTypedArray(e[x])&&\"count\"!==O&&(D=e[x],N=\"avg\"===O,F=l[O]),r=j(T.start),p=j(T.end)+(r-o.tickIncrement(r,T.size,!1,b))/1e6;r<p&&m.length<1e6&&(a=o.tickIncrement(r,T.size,!1,b),m.push((r+a)/2),g.push(R),C.push([]),A.push(r),z&&E.push(1/(a-r)),N&&L.push(0),!(a<=r));)r=a;A.push(r),M||\"date\"!==v.type||(S={start:j(S.start),end:j(S.end),size:S.size}),t._fullLayout._roundFnOpts||(t._fullLayout._roundFnOpts={});var U=e[\"_\"+y+\"bingroup\"],V={leftGap:1/0,rightGap:1/0};U&&(t._fullLayout._roundFnOpts[U]||(t._fullLayout._roundFnOpts[U]=V),V=t._fullLayout._roundFnOpts[U]);var q,H=g.length,G=!0,Y=V.leftGap,W=V.rightGap,X={};for(r=0;r<k.length;r++){var Z=k[r];(d=i.findBin(Z,S))>=0&&d<H&&(P+=F(d,r,g,D,L),G&&C[d].length&&Z!==k[C[d][0]]&&(G=!1),C[d].push(r),X[r]=d,Y=Math.min(Y,Z-A[d]),W=Math.min(W,A[d+1]-Z))}V.leftGap=Y,V.rightGap=W,G||(q=function(e,r){return function(){var n=t._fullLayout._roundFnOpts[U];return f(n.leftGap,n.rightGap,A,v,b)(e,r)}}),N&&(P=u(g,L)),B&&B(g,P,E),_.enabled&&function(t,e,r){var n,i,a;function o(e){a=t[e],t[e]/=2}function s(e){i=t[e],t[e]=a+i/2,a+=i}if(\"half\"===r)if(\"increasing\"===e)for(o(0),n=1;n<t.length;n++)s(n);else for(o(t.length-1),n=t.length-2;n>=0;n--)s(n);else if(\"increasing\"===e){for(n=1;n<t.length;n++)t[n]+=t[n-1];\"exclude\"===r&&(t.unshift(0),t.pop())}else{for(n=t.length-2;n>=0;n--)t[n]+=t[n+1];\"exclude\"===r&&(t.push(0),t.shift())}}(g,_.direction,_.currentbin);var J=Math.min(m.length,g.length),K=[],Q=0,$=J-1;for(r=0;r<J;r++)if(g[r]){Q=r;break}for(r=J-1;r>=Q;r--)if(g[r]){$=r;break}for(r=Q;r<=$;r++)if(n(m[r])&&n(g[r])){var tt={p:m[r],s:g[r],b:0};_.enabled||(tt.pts=C[r],G?tt.ph0=tt.ph1=C[r].length?k[C[r][0]]:m[r]:(e._computePh=!0,tt.ph0=q(A[r]),tt.ph1=q(A[r+1],!0))),K.push(tt)}return 1===K.length&&(K[0].width1=o.tickIncrement(K[0].p,T.size,!1,b)-K[0].p),s(K,e),i.isArrayOrTypedArray(e.selectedpoints)&&i.tagSelected(K,e,X),K},calcAllAutoBins:h}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../../registry\":927,\"../bar/arrays_to_calcdata\":936,\"./average\":1101,\"./bin_functions\":1103,\"./bin_label_vals\":1104,\"./norm_functions\":1112,\"fast-isnumeric\":245}],1106:[function(t,e,r){\"use strict\";e.exports={eventDataKeys:[\"binNumber\"]}},{}],1107:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axis_ids\"),a=t(\"../../registry\").traceIs,o=t(\"../bar/defaults\").handleGroupingDefaults,s=n.nestedProperty,l=t(\"../../plots/cartesian/constraints\").getAxisGroup,c=[{aStr:{x:\"xbins.start\",y:\"ybins.start\"},name:\"start\"},{aStr:{x:\"xbins.end\",y:\"ybins.end\"},name:\"end\"},{aStr:{x:\"xbins.size\",y:\"ybins.size\"},name:\"size\"},{aStr:{x:\"nbinsx\",y:\"nbinsy\"},name:\"nbins\"}],u=[\"x\",\"y\"];e.exports=function(t,e){var r,f,h,p,d,m,g,v=e._histogramBinOpts={},y=[],x={},b=[];function _(t,e){return n.coerce(r._input,r,r._module.attributes,t,e)}function w(t){return\"v\"===t.orientation?\"x\":\"y\"}function T(t,r,a){var o=t.uid+\"__\"+a;r||(r=o);var s=function(t,r){return i.getFromTrace({_fullLayout:e},t,r).type}(t,a),l=t[a+\"calendar\"]||\"\",c=v[r],u=!0;c&&(s===c.axType&&l===c.calendar?(u=!1,c.traces.push(t),c.dirs.push(a)):(r=o,s!==c.axType&&n.warn([\"Attempted to group the bins of trace\",t.index,\"set on a\",\"type:\"+s,\"axis\",\"with bins on\",\"type:\"+c.axType,\"axis.\"].join(\" \")),l!==c.calendar&&n.warn([\"Attempted to group the bins of trace\",t.index,\"set with a\",l,\"calendar\",\"with bins\",c.calendar?\"on a \"+c.calendar+\" calendar\":\"w/o a set calendar\"].join(\" \")))),u&&(v[r]={traces:[t],dirs:[a],axType:s,calendar:t[a+\"calendar\"]||\"\"}),t[\"_\"+a+\"bingroup\"]=r}for(d=0;d<t.length;d++)r=t[d],a(r,\"histogram\")&&(y.push(r),delete r._xautoBinFinished,delete r._yautoBinFinished,a(r,\"2dMap\")||o(r._input,r,e,_));var k=e._alignmentOpts||{};for(d=0;d<y.length;d++){if(r=y[d],h=\"\",!a(r,\"2dMap\")){if(p=w(r),\"group\"===e.barmode&&r.alignmentgroup){var M=r[p+\"axis\"],A=l(e,M)+r.orientation;(k[A]||{})[r.alignmentgroup]&&(h=A)}h||\"overlay\"===e.barmode||(h=l(e,r.xaxis)+l(e,r.yaxis)+w(r))}h?(x[h]||(x[h]=[]),x[h].push(r)):b.push(r)}for(h in x)if(1!==(f=x[h]).length){var S=!1;for(f.length&&(r=f[0],S=_(\"bingroup\")),h=S||h,d=0;d<f.length;d++){var E=(r=f[d])._input.bingroup;E&&E!==h&&n.warn([\"Trace\",r.index,\"must match\",\"within bingroup\",h+\".\",\"Ignoring its bingroup:\",E,\"setting.\"].join(\" \")),r.bingroup=h,T(r,h,w(r))}}else b.push(f[0]);for(d=0;d<b.length;d++){r=b[d];var L=_(\"bingroup\");if(a(r,\"2dMap\"))for(g=0;g<2;g++){var C=_((p=u[g])+\"bingroup\",L?L+\"__\"+p:null);T(r,C,p)}else T(r,L,w(r))}for(h in v){var P=v[h];for(f=P.traces,m=0;m<c.length;m++){var I,O,z=c[m],D=z.name;if(\"nbins\"!==D||!P.sizeFound){for(d=0;d<f.length;d++){if(r=f[d],p=P.dirs[d],I=z.aStr[p],void 0!==s(r._input,I).get()){P[D]=_(I),P[D+\"Found\"]=!0;break}(O=(r._autoBin||{})[p]||{})[D]&&s(r,I).set(O[D])}if(\"start\"===D||\"end\"===D)for(;d<f.length;d++)(r=f[d])[\"_\"+p+\"bingroup\"]&&_(I,(O=(r._autoBin||{})[p]||{})[D]);\"nbins\"!==D||P.sizeFound||P.nbinsFound||(r=f[0],P[D]=_(I))}}}}},{\"../../lib\":799,\"../../plots/cartesian/axis_ids\":853,\"../../plots/cartesian/constraints\":857,\"../../registry\":927,\"../bar/defaults\":941}],1108:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/color\"),o=t(\"../bar/style_defaults\"),s=t(\"./attributes\");e.exports=function(t,e,r,l){function c(r,n){return i.coerce(t,e,s,r,n)}var u=c(\"x\"),f=c(\"y\");c(\"cumulative.enabled\")&&(c(\"cumulative.direction\"),c(\"cumulative.currentbin\")),c(\"text\"),c(\"hovertext\"),c(\"hovertemplate\"),c(\"xhoverformat\"),c(\"yhoverformat\");var h=c(\"orientation\",f&&!u?\"h\":\"v\"),p=\"v\"===h?\"x\":\"y\",d=\"v\"===h?\"y\":\"x\",m=u&&f?Math.min(i.minRowLength(u)&&i.minRowLength(f)):i.minRowLength(e[p]||[]);if(m){e._length=m,n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\"],l),e[d]&&c(\"histfunc\"),c(\"histnorm\"),c(\"autobin\"+p),o(t,e,c,r,l),i.coerceSelectionMarkerOpacity(e,c);var g=(e.marker.line||{}).color,v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,g||a.defaultLine,{axis:\"y\"}),v(t,e,g||a.defaultLine,{axis:\"x\",inherit:\"y\"})}else e.visible=!1}},{\"../../components/color\":662,\"../../lib\":799,\"../../registry\":927,\"../bar/style_defaults\":952,\"./attributes\":1100}],1109:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){if(t.x=\"xVal\"in e?e.xVal:e.x,t.y=\"yVal\"in e?e.yVal:e.y,\"zLabelVal\"in e&&(t.z=e.zLabelVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),!(r.cumulative||{}).enabled){var a,o=Array.isArray(i)?n[0].pts[i[0]][i[1]]:n[i].pts;if(t.pointNumbers=o,t.binNumber=t.pointNumber,delete t.pointNumber,delete t.pointIndex,r._indexToPoints){a=[];for(var s=0;s<o.length;s++)a=a.concat(r._indexToPoints[o[s]])}else a=o;t.pointIndices=a}return t}},{}],1110:[function(t,e,r){\"use strict\";var n=t(\"../bar/hover\").hoverPoints,i=t(\"../../plots/cartesian/axes\").hoverLabelText;e.exports=function(t,e,r,a,o){var s=n(t,e,r,a,o);if(s){var l=(t=s[0]).cd[t.index],c=t.cd[0].trace;if(!c.cumulative.enabled){var u=\"h\"===c.orientation?\"y\":\"x\";t[u+\"Label\"]=i(t[u+\"a\"],[l.ph0,l.ph1],c[u+\"hoverformat\"])}return s}}},{\"../../plots/cartesian/axes\":849,\"../bar/hover\":944}],1111:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"../bar/layout_attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"./cross_trace_defaults\"),supplyLayoutDefaults:t(\"../bar/layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"../bar/cross_trace_calc\").crossTraceCalc,plot:t(\"../bar/plot\").plot,layerName:\"barlayer\",style:t(\"../bar/style\").style,styleOnSelect:t(\"../bar/style\").styleOnSelect,colorbar:t(\"../scatter/marker_colorbar\"),hoverPoints:t(\"./hover\"),selectPoints:t(\"../bar/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"histogram\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"bar-like\",\"cartesian\",\"svg\",\"bar\",\"histogram\",\"oriented\",\"errorBarsOK\",\"showLegend\"],meta:{}}},{\"../../plots/cartesian\":863,\"../bar/cross_trace_calc\":940,\"../bar/layout_attributes\":946,\"../bar/layout_defaults\":947,\"../bar/plot\":948,\"../bar/select\":949,\"../bar/style\":951,\"../scatter/marker_colorbar\":1232,\"./attributes\":1100,\"./calc\":1105,\"./cross_trace_defaults\":1107,\"./defaults\":1108,\"./event_data\":1109,\"./hover\":1110}],1112:[function(t,e,r){\"use strict\";e.exports={percent:function(t,e){for(var r=t.length,n=100/e,i=0;i<r;i++)t[i]*=n},probability:function(t,e){for(var r=t.length,n=0;n<r;n++)t[n]/=e},density:function(t,e,r,n){var i=t.length;n=n||1;for(var a=0;a<i;a++)t[a]*=r[a]*n},\"probability density\":function(t,e,r,n){var i=t.length;n&&(e/=n);for(var a=0;a<i;a++)t[a]*=r[a]/e}}},{}],1113:[function(t,e,r){\"use strict\";var n=t(\"../histogram/attributes\"),i=t(\"../histogram/bin_attributes\"),a=t(\"../heatmap/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({x:n.x,y:n.y,z:{valType:\"data_array\",editType:\"calc\"},marker:{color:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},histnorm:n.histnorm,histfunc:n.histfunc,nbinsx:n.nbinsx,xbins:i(\"x\"),nbinsy:n.nbinsy,ybins:i(\"y\"),autobinx:n.autobinx,autobiny:n.autobiny,bingroup:u({},n.bingroup,{}),xbingroup:u({},n.bingroup,{}),ybingroup:u({},n.bingroup,{}),xgap:a.xgap,ygap:a.ygap,zsmooth:a.zsmooth,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),zhoverformat:s(\"z\",1),hovertemplate:l({},{keys:\"z\"}),showlegend:u({},o.showlegend,{dflt:!1})},c(\"\",{cLetter:\"z\",autoColorDflt:!1}))},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../heatmap/attributes\":1081,\"../histogram/attributes\":1100,\"../histogram/bin_attributes\":1102}],1114:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../histogram/bin_functions\"),o=t(\"../histogram/norm_functions\"),s=t(\"../histogram/average\"),l=t(\"../histogram/bin_label_vals\"),c=t(\"../histogram/calc\").calcAllAutoBins;function u(t,e,r,n){var i,a=new Array(t);if(n)for(i=0;i<t;i++)a[i]=1/(e[i+1]-e[i]);else{var o=1/r;for(i=0;i<t;i++)a[i]=o}return a}function f(t,e){return{start:t(e.start),end:t(e.end),size:e.size}}function h(t,e,r,n,i,a){var o,s=t.length-1,c=new Array(s),u=l(r,n,t,i,a);for(o=0;o<s;o++){var f=(e||[])[o];c[o]=void 0===f?[u(t[o]),u(t[o+1],!0)]:[f,f]}return c}e.exports=function(t,e){var r,l,p,d,m=i.getFromId(t,e.xaxis),g=i.getFromId(t,e.yaxis),v=e.xcalendar,y=e.ycalendar,x=function(t){return m.r2c(t,0,v)},b=function(t){return g.r2c(t,0,y)},_=c(t,e,m,\"x\"),w=_[0],T=_[1],k=c(t,e,g,\"y\"),M=k[0],A=k[1],S=e._length;T.length>S&&T.splice(S,T.length-S),A.length>S&&A.splice(S,A.length-S);var E=[],L=[],C=[],P=\"string\"==typeof w.size,I=\"string\"==typeof M.size,O=[],z=[],D=P?O:w,R=I?z:M,F=0,B=[],N=[],j=e.histnorm,U=e.histfunc,V=-1!==j.indexOf(\"density\"),q=\"max\"===U||\"min\"===U?null:0,H=a.count,G=o[j],Y=!1,W=[],X=[],Z=\"z\"in e?e.z:\"marker\"in e&&Array.isArray(e.marker.color)?e.marker.color:\"\";Z&&\"count\"!==U&&(Y=\"avg\"===U,H=a[U]);var J=w.size,K=x(w.start),Q=x(w.end)+(K-i.tickIncrement(K,J,!1,v))/1e6;for(r=K;r<Q;r=i.tickIncrement(r,J,!1,v))L.push(q),O.push(r),Y&&C.push(0);O.push(r);var $,tt=L.length,et=(r-K)/tt,rt=($=K+et/2,m.c2r($,0,v)),nt=M.size,it=b(M.start),at=b(M.end)+(it-i.tickIncrement(it,nt,!1,y))/1e6;for(r=it;r<at;r=i.tickIncrement(r,nt,!1,y)){E.push(L.slice()),z.push(r);var ot=new Array(tt);for(l=0;l<tt;l++)ot[l]=[];N.push(ot),Y&&B.push(C.slice())}z.push(r);var st=E.length,lt=(r-it)/st,ct=function(t){return g.c2r(t,0,y)}(it+lt/2);V&&(W=u(L.length,D,et,P),X=u(E.length,R,lt,I)),P||\"date\"!==m.type||(D=f(x,D)),I||\"date\"!==g.type||(R=f(b,R));var ut=!0,ft=!0,ht=new Array(tt),pt=new Array(st),dt=1/0,mt=1/0,gt=1/0,vt=1/0;for(r=0;r<S;r++){var yt=T[r],xt=A[r];p=n.findBin(yt,D),d=n.findBin(xt,R),p>=0&&p<tt&&d>=0&&d<st&&(F+=H(p,r,E[d],Z,B[d]),N[d][p].push(r),ut&&(void 0===ht[p]?ht[p]=yt:ht[p]!==yt&&(ut=!1)),ft&&(void 0===pt[d]?pt[d]=xt:pt[d]!==xt&&(ft=!1)),dt=Math.min(dt,yt-O[p]),mt=Math.min(mt,O[p+1]-yt),gt=Math.min(gt,xt-z[d]),vt=Math.min(vt,z[d+1]-xt))}if(Y)for(d=0;d<st;d++)F+=s(E[d],B[d]);if(G)for(d=0;d<st;d++)G(E[d],F,W,X[d]);return{x:T,xRanges:h(O,ut&&ht,dt,mt,m,v),x0:rt,dx:et,y:A,yRanges:h(z,ft&&pt,gt,vt,g,y),y0:ct,dy:lt,z:E,pts:N}}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../histogram/average\":1101,\"../histogram/bin_functions\":1103,\"../histogram/bin_label_vals\":1104,\"../histogram/calc\":1105,\"../histogram/norm_functions\":1112}],1115:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./sample_defaults\"),a=t(\"../heatmap/style_defaults\"),o=t(\"../../components/colorscale/defaults\"),s=t(\"./attributes\");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,s,r,i)}i(t,e,c,l),!1!==e.visible&&(a(t,e,c,l),o(t,e,l,c,{prefix:\"\",cLetter:\"z\"}),c(\"hovertemplate\"),c(\"xhoverformat\"),c(\"yhoverformat\"))}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"../heatmap/style_defaults\":1094,\"./attributes\":1113,\"./sample_defaults\":1118}],1116:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/hover\"),i=t(\"../../plots/cartesian/axes\").hoverLabelText;e.exports=function(t,e,r,a,o){var s=n(t,e,r,a,o);if(s){var l=(t=s[0]).index,c=l[0],u=l[1],f=t.cd[0],h=f.trace,p=f.xRanges[u],d=f.yRanges[c];return t.xLabel=i(t.xa,[p[0],p[1]],h.xhoverformat),t.yLabel=i(t.ya,[d[0],d[1]],h.yhoverformat),s}}},{\"../../plots/cartesian/axes\":849,\"../heatmap/hover\":1088}],1117:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../histogram/cross_trace_defaults\"),calc:t(\"../heatmap/calc\"),plot:t(\"../heatmap/plot\"),layerName:\"heatmaplayer\",colorbar:t(\"../heatmap/colorbar\"),style:t(\"../heatmap/style\"),hoverPoints:t(\"./hover\"),eventData:t(\"../histogram/event_data\"),moduleType:\"trace\",name:\"histogram2d\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"2dMap\",\"histogram\",\"showLegend\"],meta:{}}},{\"../../plots/cartesian\":863,\"../heatmap/calc\":1082,\"../heatmap/colorbar\":1084,\"../heatmap/plot\":1092,\"../heatmap/style\":1093,\"../histogram/cross_trace_defaults\":1107,\"../histogram/event_data\":1109,\"./attributes\":1113,\"./defaults\":1115,\"./hover\":1116}],1118:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o=r(\"x\"),s=r(\"y\"),l=i.minRowLength(o),c=i.minRowLength(s);l&&c?(e._length=Math.min(l,c),n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\"],a),(r(\"z\")||r(\"marker.color\"))&&r(\"histfunc\"),r(\"histnorm\"),r(\"autobinx\"),r(\"autobiny\")):e.visible=!1}},{\"../../lib\":799,\"../../registry\":927}],1119:[function(t,e,r){\"use strict\";var n=t(\"../histogram2d/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../lib/extend\").extendFlat;e.exports=s({x:n.x,y:n.y,z:n.z,marker:n.marker,histnorm:n.histnorm,histfunc:n.histfunc,nbinsx:n.nbinsx,xbins:n.xbins,nbinsy:n.nbinsy,ybins:n.ybins,autobinx:n.autobinx,autobiny:n.autobiny,bingroup:n.bingroup,xbingroup:n.xbingroup,ybingroup:n.ybingroup,autocontour:i.autocontour,ncontours:i.ncontours,contours:i.contours,line:{color:i.line.color,width:s({},i.line.width,{dflt:.5}),dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:n.hovertemplate},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/cartesian/axis_format_attributes\":852,\"../contour/attributes\":1024,\"../histogram2d/attributes\":1113}],1120:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../histogram2d/sample_defaults\"),a=t(\"../contour/contours_defaults\"),o=t(\"../contour/style_defaults\"),s=t(\"./attributes\");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,s,r,i)}i(t,e,c,l),!1!==e.visible&&(a(t,e,c,(function(r){return n.coerce2(t,e,s,r)})),o(t,e,c,l),c(\"hovertemplate\"),c(\"xhoverformat\"),c(\"yhoverformat\"))}},{\"../../lib\":799,\"../contour/contours_defaults\":1031,\"../contour/style_defaults\":1045,\"../histogram2d/sample_defaults\":1118,\"./attributes\":1119}],1121:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../histogram/cross_trace_defaults\"),calc:t(\"../contour/calc\"),plot:t(\"../contour/plot\").plot,layerName:\"contourlayer\",style:t(\"../contour/style\"),colorbar:t(\"../contour/colorbar\"),hoverPoints:t(\"../contour/hover\"),moduleType:\"trace\",name:\"histogram2dcontour\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"histogram\",\"showLegend\"],meta:{}}},{\"../../plots/cartesian\":863,\"../contour/calc\":1025,\"../contour/colorbar\":1027,\"../contour/hover\":1037,\"../contour/plot\":1042,\"../contour/style\":1044,\"../histogram/cross_trace_defaults\":1107,\"./attributes\":1119,\"./defaults\":1120}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"../treemap/attributes\"),u=t(\"../treemap/constants\"),f=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"plot\"},flip:c.tiling.flip,pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},marker:f({colors:l.marker.colors,line:l.marker.line,editType:\"calc\"},a(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:l.leaf,pathbar:c.pathbar,text:s.text,textinfo:l.textinfo,texttemplate:i({editType:\"plot\"},{keys:u.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:u.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:c.outsidetextfont,textposition:c.textposition,sort:s.sort,root:l.root,domain:o({name:\"icicle\",trace:!0,editType:\"calc\"})}},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/domain\":877,\"../../plots/template_attributes\":922,\"../pie/attributes\":1188,\"../sunburst/attributes\":1326,\"../treemap/attributes\":1352,\"../treemap/constants\":1355}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"icicle\",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\":913}],1124:[function(t,e,r){\"use strict\";var n=t(\"../sunburst/calc\");r.calc=function(t,e){return n.calc(t,e)},r.crossTraceCalc=function(t){return n._runCrossTraceCalc(\"icicle\",t)}},{\"../sunburst/calc\":1328}],1125:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText,l=t(\"../bar/constants\").TEXTPAD,c=t(\"../../components/colorscale\"),u=c.hasColorscale,f=c.handleDefaults;e.exports=function(t,e,r,c){function h(r,a){return n.coerce(t,e,i,r,a)}var p=h(\"labels\"),d=h(\"parents\");if(p&&p.length&&d&&d.length){var m=h(\"values\");m&&m.length?h(\"branchvalues\"):h(\"count\"),h(\"level\"),h(\"maxdepth\"),h(\"tiling.orientation\"),h(\"tiling.flip\"),h(\"tiling.pad\");var g=h(\"text\");h(\"texttemplate\"),e.texttemplate||h(\"textinfo\",Array.isArray(g)?\"text+label\":\"label\"),h(\"hovertext\"),h(\"hovertemplate\");var v=h(\"pathbar.visible\");s(t,e,c,h,\"auto\",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),h(\"textposition\"),h(\"marker.line.width\")&&h(\"marker.line.color\",c.paper_bgcolor),h(\"marker.colors\");var y=e._hasColorscale=u(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;y&&f(t,e,c,h,{prefix:\"marker.\",cLetter:\"c\"}),h(\"leaf.opacity\",y?1:.7),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(h(\"pathbar.thickness\",e.pathbar.textfont.size+2*l),h(\"pathbar.side\"),h(\"pathbar.edgeshape\")),h(\"sort\"),h(\"root.color\"),o(e,c,h),e._length=null}else e.visible=!1}},{\"../../components/color\":662,\"../../components/colorscale\":674,\"../../lib\":799,\"../../plots/domain\":877,\"../bar/constants\":939,\"../bar/defaults\":941,\"./attributes\":1122}],1126:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"../treemap/constants\"),u=t(\"../sunburst/helpers\"),f=t(\"../sunburst/fx\"),h=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var m=d.width,g=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\"left\"),C=-1!==E.textposition.indexOf(\"right\"),P=-1!==E.textposition.indexOf(\"bottom\"),I=s(r,[m,g],{flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1,orientation:E.tiling.orientation,pad:{inner:E.tiling.pad},maxDepth:E._maxDepth}).descendants(),O=1/0,z=-1/0;I.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(O=Math.min(O,e),z=Math.max(z,e))})),p=p.data(I,u.getPtId),E._maxVisibleLayers=isFinite(z)?z-O+1:0,p.enter().append(\"g\").classed(\"slice\",!0),T(p,!1,{},[m,g],x),p.order();var D=null;if(w&&A){var R=u.getPtId(A);p.each((function(t){null===D&&u.getPtId(t)===R&&(D={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})}))}var F=function(){return D||{x0:0,x1:m,y0:0,y1:g}},B=p;return w&&(B=B.transition().each(\"end\",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!1,isTransitioning:!1})}))),B.each((function(s){s._hoverX=v(s.x1-E.tiling.pad),s._hoverY=y(P?s.y1-E.tiling.pad/2:s.y0+E.tiling.pad/2);var p=n.select(this),d=i.ensureSingle(p,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));w?d.transition().attrTween(\"d\",(function(t){var e=k(t,!1,F(),[m,g],{orientation:E.tiling.orientation,flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1});return function(t){return x(e(t))}})):d.attr(\"d\",x),p.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{isTransitioning:t._transitioning}),d.call(l,s,E,{hovered:!1}),s.x0===s.x1||s.y0===s.y1?s._text=\"\":s._text=h(s,r,E,e,S)||\"\";var T=i.ensureSingle(p,\"g\",\"slicetext\"),A=i.ensureSingle(T,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),I=i.ensureUniformFontSize(t,u.determineTextFont(E,s,S.font));A.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",C?\"end\":L?\"start\":\"middle\").call(a.font,I).call(o.convertToTspans,t),s.textBB=a.bBox(A.node()),s.transform=b(s,{fontSize:I.size}),s.transform.fontSize=I.size,w?A.transition().attrTween(\"transform\",(function(t){var e=M(t,!1,F(),[m,g]);return function(t){return _(e(t))}})):A.attr(\"transform\",_(s))})),D}},{\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../sunburst/fx\":1331,\"../sunburst/helpers\":1332,\"../sunburst/plot\":1336,\"../treemap/constants\":1355,\"./partition\":1130,\"./style\":1132,\"@plotly/d3\":58}],1127:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"icicle\",basePlotModule:t(\"./base_plot\"),categories:[],animatable:!0,attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\").style,colorbar:t(\"../scatter/marker_colorbar\"),meta:{}}},{\"../scatter/marker_colorbar\":1232,\"./attributes\":1122,\"./base_plot\":1123,\"./calc\":1124,\"./defaults\":1125,\"./layout_attributes\":1128,\"./layout_defaults\":1129,\"./plot\":1131,\"./style\":1132}],1128:[function(t,e,r){\"use strict\";e.exports={iciclecolorway:{valType:\"colorlist\",editType:\"calc\"},extendiciclecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1129:[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(\"iciclecolorway\",e.colorway),r(\"extendiciclecolors\")}},{\"../../lib\":799,\"./layout_attributes\":1128}],1130:[function(t,e,r){\"use strict\";var n=t(\"d3-hierarchy\"),i=t(\"../treemap/flip_tree\");e.exports=function(t,e,r){var a=r.flipX,o=r.flipY,s=\"h\"===r.orientation,l=r.maxDepth,c=e[0],u=e[1];l&&(c=(t.height+1)*e[0]/Math.min(t.height+1,l),u=(t.height+1)*e[1]/Math.min(t.height+1,l));var f=n.partition().padding(r.pad.inner).size(s?[e[1],c]:[e[0],u])(t);return(s||a||o)&&i(f,e,{swapXY:s,flipX:a,flipY:o}),f}},{\"../treemap/flip_tree\":1360,\"d3-hierarchy\":167}],1131:[function(t,e,r){\"use strict\";var n=t(\"../treemap/draw\"),i=t(\"./draw_descendants\");e.exports=function(t,e,r,a){return n(t,e,r,a,{type:\"icicle\",drawDescendants:i})}},{\"../treemap/draw\":1357,\"./draw_descendants\":1126}],1132:[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._iciclelayer.selectAll(\".trace\");o(t,e,\"icicle\"),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\":662,\"../../lib\":799,\"../bar/uniform_text\":953,\"@plotly/d3\":58}],1133:[function(t,e,r){\"use strict\";for(var n=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"./constants\").colormodel,s=[\"rgb\",\"rgba\",\"rgba256\",\"hsl\",\"hsla\"],l=[],c=[],u=0;u<s.length;u++){var f=o[s[u]];l.push(\"For the `\"+s[u]+\"` colormodel, it is [\"+(f.zminDflt||f.min).join(\", \")+\"].\"),c.push(\"For the `\"+s[u]+\"` colormodel, it is [\"+(f.zmaxDflt||f.max).join(\", \")+\"].\")}e.exports=a({source:{valType:\"string\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},colormodel:{valType:\"enumerated\",values:s,editType:\"calc\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",!1],dflt:!1,editType:\"plot\"},zmin:{valType:\"info_array\",items:[{valType:\"number\",editType:\"calc\"},{valType:\"number\",editType:\"calc\"},{valType:\"number\",editType:\"calc\"},{valType:\"number\",editType:\"calc\"}],editType:\"calc\"},zmax:{valType:\"info_array\",items:[{valType:\"number\",editType:\"calc\"},{valType:\"number\",editType:\"calc\"},{valType:\"number\",editType:\"calc\"},{valType:\"number\",editType:\"calc\"}],editType:\"calc\"},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",dflt:1,editType:\"calc\"},dy:{valType:\"number\",dflt:1,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"data_array\",editType:\"plot\"},hoverinfo:a({},n.hoverinfo,{flags:[\"x\",\"y\",\"z\",\"color\",\"name\",\"text\"],dflt:\"x+y+z+text+name\"}),hovertemplate:i({},{keys:[\"z\",\"color\",\"colormodel\"]}),transforms:void 0})},{\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/template_attributes\":922,\"./constants\":1135}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./constants\"),a=t(\"fast-isnumeric\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../lib\").maxRowLength,l=t(\"./helpers\").getImageSize;function c(t,e,r,i){return function(a){return n.constrain((a-t)*e,r,i)}}function u(t,e){return function(r){return n.constrain(r,t,e)}}e.exports=function(t,e){var r,n;if(e._hasZ)r=e.z.length,n=s(e.z);else if(e._hasSource){var f=l(e.source);r=f.height,n=f.width}var h,p=o.getFromId(t,e.xaxis||\"x\"),d=o.getFromId(t,e.yaxis||\"y\"),m=p.d2c(e.x0)-e.dx/2,g=d.d2c(e.y0)-e.dy/2,v=[m,m+n*e.dx],y=[g,g+r*e.dy];if(p&&\"log\"===p.type)for(h=0;h<n;h++)v.push(m+h*e.dx);if(d&&\"log\"===d.type)for(h=0;h<r;h++)y.push(g+h*e.dy);return e._extremes[p._id]=o.findExtremes(p,v),e._extremes[d._id]=o.findExtremes(d,y),e._scaler=function(t){var e=i.colormodel[t.colormodel],r=(e.colormodel||t.colormodel).length;t._sArray=[];for(var n=0;n<r;n++)e.min[n]!==t.zmin[n]||e.max[n]!==t.zmax[n]?t._sArray.push(c(t.zmin[n],(e.max[n]-e.min[n])/(t.zmax[n]-t.zmin[n]),e.min[n],e.max[n])):t._sArray.push(u(e.min[n],e.max[n]));return function(e){for(var n=e.slice(0,r),i=0;i<r;i++){var o=n[i];if(!a(o))return!1;n[i]=t._sArray[i](o)}return n}}(e),[{x0:m,y0:g,z:e.z,w:n,h:r}]}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"./constants\":1135,\"./helpers\":1138,\"fast-isnumeric\":245}],1135:[function(t,e,r){\"use strict\";e.exports={colormodel:{rgb:{min:[0,0,0],max:[255,255,255],fmt:function(t){return t.slice(0,3)},suffix:[\"\",\"\",\"\"]},rgba:{min:[0,0,0,0],max:[255,255,255,1],fmt:function(t){return t.slice(0,4)},suffix:[\"\",\"\",\"\",\"\"]},rgba256:{colormodel:\"rgba\",zminDflt:[0,0,0,0],zmaxDflt:[255,255,255,255],min:[0,0,0,0],max:[255,255,255,1],fmt:function(t){return t.slice(0,4)},suffix:[\"\",\"\",\"\",\"\"]},hsl:{min:[0,0,0],max:[360,100,100],fmt:function(t){var e=t.slice(0,3);return e[1]=e[1]+\"%\",e[2]=e[2]+\"%\",e},suffix:[\"\\xb0\",\"%\",\"%\"]},hsla:{min:[0,0,0,0],max:[360,100,100,1],fmt:function(t){var e=t.slice(0,4);return e[1]=e[1]+\"%\",e[2]=e[2]+\"%\",e},suffix:[\"\\xb0\",\"%\",\"%\",\"\"]}},pixelatedStyle:[\"image-rendering: optimizeSpeed\",\"image-rendering: -moz-crisp-edges\",\"image-rendering: -o-crisp-edges\",\"image-rendering: -webkit-optimize-contrast\",\"image-rendering: optimize-contrast\",\"image-rendering: crisp-edges\",\"image-rendering: pixelated\",\"\"].join(\"; \")}},{}],1136:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"./constants\"),o=t(\"../../snapshot/helpers\").IMAGE_URL_PREFIX;e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"source\"),e.source&&!e.source.match(o)&&delete e.source,e._hasSource=!!e.source;var s,l=r(\"z\");(e._hasZ=!(void 0===l||!l.length||!l[0]||!l[0].length),e._hasZ||e._hasSource)?(r(\"x0\"),r(\"y0\"),r(\"dx\"),r(\"dy\"),e._hasZ?(r(\"colormodel\",\"rgb\"),r(\"zmin\",(s=a.colormodel[e.colormodel]).zminDflt||s.min),r(\"zmax\",s.zmaxDflt||s.max)):e._hasSource&&(e.colormodel=\"rgba256\",s=a.colormodel[e.colormodel],e.zmin=s.zminDflt,e.zmax=s.zmaxDflt),r(\"zsmooth\"),r(\"text\"),r(\"hovertext\"),r(\"hovertemplate\"),e._length=null):e.visible=!1}},{\"../../lib\":799,\"../../snapshot/helpers\":931,\"./attributes\":1133,\"./constants\":1135}],1137:[function(t,e,r){\"use strict\";e.exports=function(t,e){return\"xVal\"in e&&(t.x=e.xVal),\"yVal\"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t.color=e.color,t.colormodel=e.trace.colormodel,t.z||(t.z=e.color),t}},{}],1138:[function(t,e,r){\"use strict\";var n=t(\"probe-image-size/sync\"),i=t(\"../../snapshot/helpers\").IMAGE_URL_PREFIX,a=t(\"buffer/\").Buffer;r.getImageSize=function(t){var e=t.replace(i,\"\"),r=new a(e,\"base64\");return n(r)}},{\"../../snapshot/helpers\":931,\"buffer/\":117,\"probe-image-size/sync\":523}],1139:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"./constants\");e.exports=function(t,e,r){var o=t.cd[0],s=o.trace,l=t.xa,c=t.ya;if(!(n.inbox(e-o.x0,e-(o.x0+o.w*s.dx),0)>0||n.inbox(r-o.y0,r-(o.y0+o.h*s.dy),0)>0)){var u,f=Math.floor((e-o.x0)/s.dx),h=Math.floor(Math.abs(r-o.y0)/s.dy);if(s._hasZ?u=o.z[h][f]:s._hasSource&&(u=s._canvas.el.getContext(\"2d\").getImageData(f,h,1,1).data),u){var p,d=o.hi||s.hoverinfo;if(d){var m=d.split(\"+\");-1!==m.indexOf(\"all\")&&(m=[\"color\"]),-1!==m.indexOf(\"color\")&&(p=!0)}var g,v=a.colormodel[s.colormodel],y=v.colormodel||s.colormodel,x=y.length,b=s._scaler(u),_=v.suffix,w=[];(s.hovertemplate||p)&&(w.push(\"[\"+[b[0]+_[0],b[1]+_[1],b[2]+_[2]].join(\", \")),4===x&&w.push(\", \"+b[3]+_[3]),w.push(\"]\"),w=w.join(\"\"),t.extraText=y.toUpperCase()+\": \"+w),Array.isArray(s.hovertext)&&Array.isArray(s.hovertext[h])?g=s.hovertext[h][f]:Array.isArray(s.text)&&Array.isArray(s.text[h])&&(g=s.text[h][f]);var T=c.c2p(o.y0+(h+.5)*s.dy),k=o.x0+(f+.5)*s.dx,M=o.y0+(h+.5)*s.dy,A=\"[\"+u.slice(0,s.colormodel.length).join(\", \")+\"]\";return[i.extendFlat(t,{index:[h,f],x0:l.c2p(o.x0+f*s.dx),x1:l.c2p(o.x0+(f+1)*s.dx),y0:T,y1:T,color:b,xVal:k,xLabelVal:k,yVal:M,yLabelVal:M,zLabelVal:A,text:g,hovertemplateLabels:{zLabel:A,colorLabel:w,\"color[0]Label\":b[0]+_[0],\"color[1]Label\":b[1]+_[1],\"color[2]Label\":b[2]+_[2],\"color[3]Label\":b[3]+_[3]}})]}}}},{\"../../components/fx\":702,\"../../lib\":799,\"./constants\":1135}],1140:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"./style\"),hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"image\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"2dMap\",\"noSortingByValue\"],animatable:!1,meta:{}}},{\"../../plots/cartesian\":863,\"./attributes\":1133,\"./calc\":1134,\"./defaults\":1136,\"./event_data\":1137,\"./hover\":1139,\"./plot\":1141,\"./style\":1142}],1141:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.strTranslate,o=t(\"../../constants/xmlns_namespaces\"),s=t(\"./constants\"),l=i.isIOS()||i.isSafari()||i.isIE();e.exports=function(t,e,r,c){var u=e.xaxis,f=e.yaxis,h=!(l||t._context._exportedPlot);i.makeTraceGroups(c,r,\"im\").each((function(e){var r=n.select(this),l=e[0],c=l.trace,p=(\"fast\"===c.zsmooth||!1===c.zsmooth&&h)&&!c._hasZ&&c._hasSource&&\"linear\"===u.type&&\"linear\"===f.type;c._realImage=p;var d,m,g,v,y,x,b=l.z,_=l.x0,w=l.y0,T=l.w,k=l.h,M=c.dx,A=c.dy;for(x=0;void 0===d&&x<T;)d=u.c2p(_+x*M),x++;for(x=T;void 0===m&&x>0;)m=u.c2p(_+x*M),x--;for(x=0;void 0===v&&x<k;)v=f.c2p(w+x*A),x++;for(x=k;void 0===y&&x>0;)y=f.c2p(w+x*A),x--;if(m<d&&(g=m,m=d,d=g),y<v&&(g=v,v=y,y=g),!p){d=Math.max(-.5*u._length,d),m=Math.min(1.5*u._length,m),v=Math.max(-.5*f._length,v),y=Math.min(1.5*f._length,y)}var S=Math.round(m-d),E=Math.round(y-v);if(S<=0||E<=0){r.selectAll(\"image\").data([]).exit().remove()}else{var L=r.selectAll(\"image\").data([e]);L.enter().append(\"svg:image\").attr({xmlns:o.svg,preserveAspectRatio:\"none\"}),L.exit().remove();var C=!1===c.zsmooth?s.pixelatedStyle:\"\";if(p){var P=i.simpleMap(u.range,u.r2l),I=i.simpleMap(f.range,f.r2l),O=P[1]<P[0],z=I[1]>I[0];if(O||z){var D=d+S/2,R=v+E/2;C+=\"transform:\"+a(D+\"px\",R+\"px\")+\"scale(\"+(O?-1:1)+\",\"+(z?-1:1)+\")\"+a(-D+\"px\",-R+\"px\")+\";\"}}L.attr(\"style\",C);var F=new Promise((function(t){if(c._hasZ)t();else if(c._hasSource)if(c._canvas&&c._canvas.el.width===T&&c._canvas.el.height===k&&c._canvas.source===c.source)t();else{var e=document.createElement(\"canvas\");e.width=T,e.height=k;var r=e.getContext(\"2d\");c._image=c._image||new Image;var n=c._image;n.onload=function(){r.drawImage(n,0,0),c._canvas={el:e,source:c.source},t()},n.setAttribute(\"src\",c.source)}})).then((function(){var t;if(c._hasZ)t=B((function(t,e){return b[e][t]})).toDataURL(\"image/png\");else if(c._hasSource)if(p)t=c.source;else{var e=c._canvas.el.getContext(\"2d\").getImageData(0,0,T,k).data;t=B((function(t,r){var n=4*(r*T+t);return[e[n],e[n+1],e[n+2],e[n+3]]})).toDataURL(\"image/png\")}L.attr({\"xlink:href\":t,height:E,width:S,x:d,y:v})}));t._promises.push(F)}function B(t){var e=document.createElement(\"canvas\");e.width=S,e.height=E;var r,n=e.getContext(\"2d\"),a=function(t){return i.constrain(Math.round(u.c2p(_+t*M)-d),0,S)},o=function(t){return i.constrain(Math.round(f.c2p(w+t*A)-v),0,E)},h=s.colormodel[c.colormodel],p=h.colormodel||c.colormodel,m=h.fmt;for(x=0;x<l.w;x++){var g=a(x),y=a(x+1);if(y!==g&&!isNaN(y)&&!isNaN(g))for(var b=0;b<l.h;b++){var T=o(b),k=o(b+1);k===T||isNaN(k)||isNaN(T)||!t(x,b)||(r=c._scaler(t(x,b)),n.fillStyle=r?p+\"(\"+m(r).join(\",\")+\")\":\"rgba(0,0,0,0)\",n.fillRect(g,T,y-g,k-T))}}return e}}))}},{\"../../constants/xmlns_namespaces\":776,\"../../lib\":799,\"./constants\":1135,\"@plotly/d3\":58}],1142:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\");e.exports=function(t){n.select(t).selectAll(\".im image\").style(\"opacity\",(function(t){return t[0].trace.opacity}))}},{\"@plotly/d3\":58}],1143:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,i=t(\"../../lib/extend\").extendDeep,a=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../constants/delta.js\"),h=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers,p=o({editType:\"plot\",colorEditType:\"plot\"}),d={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},m={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",i({},d,{range:m}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},p,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\",description:h(\"value\")},font:n({},p,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\",description:h(\"value\")},increasing:{symbol:{valType:\"string\",dflt:f.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:f.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:f.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:f.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},p,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:i({},d,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:a({range:m,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,minexponent:c.minexponent,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},d.line.color,{}),width:n({},d.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},d.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":661,\"../../constants/delta.js\":769,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/cartesian/layout_attributes\":864,\"../../plots/domain\":877,\"../../plots/font_attributes\":878}],1144:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"indicator\",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\":913}],1145:[function(t,e,r){\"use strict\";e.exports={calc:function(t,e){var r=[],n=e.value;\"number\"!=typeof e._lastValue&&(e._lastValue=e.value);var i=e._lastValue,a=i;return e._hasDelta&&\"number\"==typeof e.delta.reference&&(a=e.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}}},{}],1146:[function(t,e,r){\"use strict\";e.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}},{}],1147:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),f=t(\"../../plots/cartesian/tick_label_defaults\");function h(t,e){function r(r,a){return n.coerce(t,e,i.gauge.steps,r,a)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,a){return n.coerce(t,e,i,r,a)}a(e,p,d),d(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var m=d(\"value\");e._range=[0,\"number\"==typeof m?1.5*m:1];var g,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,i.gauge,t,e)}function k(t,e){return n.coerce(b,_,i.gauge.axis,t,e)}if(e._hasNumber&&(d(\"number.valueformat\"),d(\"number.font.color\",p.font.color),d(\"number.font.family\",p.font.family),d(\"number.font.size\"),void 0===e.number.font.size&&(e.number.font.size=l.defaultNumberFontSize,w[0]=!0),d(\"number.prefix\"),d(\"number.suffix\"),g=e.number.font.size),e._hasDelta&&(d(\"delta.font.color\",p.font.color),d(\"delta.font.family\",p.font.family),d(\"delta.font.size\"),void 0===e.delta.font.size&&(e.delta.font.size=(e._hasNumber?.5:1)*(g||l.defaultNumberFontSize),w[1]=!0),d(\"delta.reference\",e.value),d(\"delta.relative\"),d(\"delta.valueformat\",e.delta.relative?\"2%\":\"\"),d(\"delta.increasing.symbol\"),d(\"delta.increasing.color\"),d(\"delta.decreasing.symbol\"),d(\"delta.decreasing.color\"),d(\"delta.position\"),v=e.delta.font.size),e._scaleNumbers=(!e._hasNumber||w[0])&&(!e._hasDelta||w[1])||!1,d(\"title.font.color\",p.font.color),d(\"title.font.family\",p.font.family),d(\"title.font.size\",.25*(g||v||l.defaultNumberFontSize)),d(\"title.text\"),e._hasGauge){(y=t.gauge)||(y={}),x=o.newContainer(e,\"gauge\"),T(\"shape\"),(e._isBullet=\"bullet\"===e.gauge.shape)||d(\"title.align\",\"center\"),(e._isAngular=\"angular\"===e.gauge.shape)||d(\"align\",\"center\"),T(\"bgcolor\",p.paper_bgcolor),T(\"borderwidth\"),T(\"bordercolor\"),T(\"bar.color\"),T(\"bar.line.color\"),T(\"bar.line.width\"),T(\"bar.thickness\",l.valueThickness*(\"bullet\"===e.gauge.shape?.5:1)),s(y,x,{name:\"steps\",handleItemDefaults:h}),T(\"threshold.value\"),T(\"threshold.thickness\"),T(\"threshold.line.width\"),T(\"threshold.line.color\"),b={},y&&(b=y.axis||{}),_=o.newContainer(x,\"axis\"),k(\"visible\"),e._range=k(\"range\",e._range);var M={outerTicks:!0};c(b,_,k,\"linear\"),f(b,_,k,\"linear\",M),u(b,_,k,M)}else d(\"title.align\",\"center\"),d(\"align\",\"center\"),e._isAngular=e._isBullet=!1;e._length=null}}},{\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../../plots/array_container_defaults\":844,\"../../plots/cartesian/tick_label_defaults\":871,\"../../plots/cartesian/tick_mark_defaults\":872,\"../../plots/cartesian/tick_value_defaults\":873,\"../../plots/domain\":877,\"./attributes\":1143,\"./constants.js\":1146}],1148:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"indicator\",basePlotModule:t(\"./base_plot\"),categories:[\"svg\",\"noOpacity\",\"noHover\"],animatable:!0,attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,calc:t(\"./calc\").calc,plot:t(\"./plot\"),meta:{}}},{\"./attributes\":1143,\"./base_plot\":1144,\"./calc\":1145,\"./defaults\":1147,\"./plot\":1149}],1149:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.strScale,o=i.strTranslate,s=i.rad2deg,l=t(\"../../constants/alignment\").MID_SHIFT,c=t(\"../../components/drawing\"),u=t(\"./constants\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../../plots/cartesian/axis_defaults\"),d=t(\"../../plots/cartesian/position_defaults\"),m=t(\"../../plots/cartesian/layout_attributes\"),g=t(\"../../components/color\"),v={left:\"start\",center:\"middle\",right:\"end\"},y={left:0,center:.5,right:1},x=/[yzafpn\\xb5mkMGTPEZY]/;function b(t){return t&&t.duration>0}function _(t){t.each((function(t){g.stroke(n.select(this),t.line.color)})).each((function(t){g.fill(n.select(this),t.color)})).style(\"stroke-width\",(function(t){return t.line.width}))}function w(t,e,r){var n=t._fullLayout,a=i.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),o={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return i.coerce(a,o,m,t,e)}return p(a,o,l,s,n),d(a,o,l,s),o}function T(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function k(t,e,r,i){var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(a);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(f.convertToTspans,i).call(c.font,e),c.bBox(o.node())}function M(t,e,r,n,a,o){var s=\"_cache\"+e;t[s]&&t[s].key===a||(t[s]={key:a,value:r});var l=i.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,p){var d,m=t._fullLayout;b(r)&&p&&(d=p()),i.makeTraceGroups(m._indicatorlayer,e,\"trace\").each((function(e){var p,A,S,E,L,C=e[0].trace,P=n.select(this),I=C._hasGauge,O=C._isAngular,z=C._isBullet,D=C.domain,R={w:m._size.w*(D.x[1]-D.x[0]),h:m._size.h*(D.y[1]-D.y[0]),l:m._size.l+m._size.w*D.x[0],r:m._size.r+m._size.w*(1-D.x[1]),t:m._size.t+m._size.h*(1-D.y[1]),b:m._size.b+m._size.h*D.y[0]},F=R.l+R.w/2,B=R.t+R.h/2,N=Math.min(R.w/2,R.h),j=u.innerRadius*N,U=C.align||\"center\";if(A=B,I){if(O&&(p=F,A=B+N/2,S=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*j)}),z){var V=u.bulletPadding,q=1-u.bulletNumberDomainSize+V;p=R.l+(q+(1-q)*y[U])*R.w,S=function(t){return T(t,(u.bulletNumberDomainSize-V)*R.w,R.h)}}}else p=R.l+y[U]*R.w,S=function(t){return T(t,R.w,R.h)};!function(t,e,r,s){var l,u,p,d=r[0].trace,m=s.numbersX,_=s.numbersY,T=d.align||\"center\",A=v[T],S=s.transitionOpts,E=s.onComplete,L=i.ensureSingle(e,\"g\",\"numbers\"),C=[];d._hasNumber&&C.push(\"number\");d._hasDelta&&(C.push(\"delta\"),\"left\"===d.delta.position&&C.reverse());var P=L.selectAll(\"text\").data(C);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(x)||r(i).slice(-1).match(x))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=w(t,{tickformat:a});return function(t){return Math.abs(t)<1?h.tickText(o,t).text:r(t)}}P.enter().append(\"text\"),P.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),P.exit().remove();var O,z=d.mode+d.align;d._hasDelta&&(O=function(){var e=w(t,{tickformat:d.delta.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=function(t){return d.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?d.delta.increasing.symbol:d.delta.decreasing.symbol)+e(t)},s=function(t){return t.delta>=0?d.delta.increasing.color:d.delta.decreasing.color};void 0===d._deltaLastValue&&(d._deltaLastValue=a(r[0]));var l=L.select(\"text.delta\");function p(){l.text(o(a(r[0]),i)).call(g.fill,s(r[0])).call(f.convertToTspans,t)}return l.call(c.font,d.delta.font).call(g.fill,s({delta:d._deltaLastValue})),b(S)?l.transition().duration(S.duration).ease(S.easing).tween(\"text\",(function(){var t=n.select(this),e=a(r[0]),l=d._deltaLastValue,c=I(d.delta.valueformat,i,l,e),u=n.interpolateNumber(l,e);return d._deltaLastValue=e,function(e){t.text(o(u(e),c)),t.call(g.fill,s({delta:u(e)}))}})).each(\"end\",(function(){p(),E&&E()})).each(\"interrupt\",(function(){p(),E&&E()})):p(),u=k(o(a(r[0]),i),d.delta.font,A,t),l}(),z+=d.delta.position+d.delta.font.size+d.delta.font.family+d.delta.valueformat,z+=d.delta.increasing.symbol+d.delta.decreasing.symbol,p=u);d._hasNumber&&(!function(){var e=w(t,{tickformat:d.number.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=d.number.suffix,o=d.number.prefix,s=L.select(\"text.number\");function u(){var e=\"number\"==typeof r[0].y?o+i(r[0].y)+a:\"-\";s.text(e).call(c.font,d.number.font).call(f.convertToTspans,t)}b(S)?s.transition().duration(S.duration).ease(S.easing).each(\"end\",(function(){u(),E&&E()})).each(\"interrupt\",(function(){u(),E&&E()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);d._lastValue=r[0].y;var s=I(d.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(o+s(e(r))+a)}})):u(),l=k(o+i(r[0].y)+a,d.number.font,A,t)}(),z+=d.number.font.size+d.number.font.family+d.number.valueformat+d.number.suffix+d.number.prefix,p=l);if(d._hasDelta&&d._hasNumber){var D,R,F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=.75*d.delta.font.size;\"left\"===d.delta.position&&(D=M(d,\"deltaPos\",0,-1*(l.width*y[d.align]+u.width*(1-y[d.align])+N),z,Math.min),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:u.left+D,right:l.right,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\"right\"===d.delta.position&&(D=M(d,\"deltaPos\",0,l.width*(1-y[d.align])+u.width*y[d.align]+N,z,Math.max),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:l.left,right:u.right+D,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\"bottom\"===d.delta.position&&(D=null,R=u.height,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height,bottom:l.bottom+u.height}),\"top\"===d.delta.position&&(D=null,R=l.top,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height-u.height,bottom:l.bottom}),O.attr({dx:D,dy:R})}(d._hasNumber||d._hasDelta)&&L.attr(\"transform\",(function(){var t=s.numbersScaler(p);z+=t[2];var e,r=M(d,\"numbersScale\",1,t[0],z,Math.min);d._scaleNumbers||(r=1),e=d._isAngular?_-r*p.bottom:_-r*(p.top+p.bottom)/2,d._numbersTop=r*p.top+e;var n=p[T];\"center\"===T&&(n=(p.left+p.right)/2);var i=m-r*n;return i=M(d,\"numbersTranslate\",0,i,z,Math.max),o(i,e)+a(r)}))}(t,P,e,{numbersX:p,numbersY:A,numbersScaler:S,transitionOpts:r,onComplete:d}),I&&(E={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},L={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var H=P.selectAll(\"g.angular\").data(O?e:[]);H.exit().remove();var G=P.selectAll(\"g.angularaxis\").data(O?e:[]);G.exit().remove(),O&&function(t,e,r,i){var a,c,u,f,p=r[0].trace,d=i.size,m=i.radius,g=i.innerRadius,v=i.gaugeBg,y=i.gaugeOutline,x=[d.l+d.w/2,d.t+d.h/2+m/2],T=i.gauge,k=i.layer,M=i.transitionOpts,A=i.onComplete,S=Math.PI/2;function E(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function L(t){return n.svg.arc().innerRadius((g+m)/2-t/2*(m-g)).outerRadius((g+m)/2+t/2*(m-g)).startAngle(-S)}function C(t){t.attr(\"d\",(function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",o(x[0],x[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(a=w(t,p.gauge.axis)).type=\"linear\",a.range=p.gauge.axis.range,a._id=\"xangularaxis\",a.ticklabeloverflow=\"allow\",a.setScale();var P=function(t){return(a.range[0]-t.x)/(a.range[1]-a.range[0])*Math.PI+Math.PI},I={},O=h.makeLabelFns(a,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*O},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(O+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*l)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return o(x[0]+m*Math.cos(t),x[1]-m*Math.sin(t))};u=function(t){return z(P(t))};if(c=h.calcTicks(a),f=h.getTickSigns(a)[2],a.visible){f=\"inside\"===a.ticks?-1:1;var D=(a.linewidth||1)/2;h.drawTicks(t,a,{vals:c,layer:k,path:\"M\"+f*D+\",0h\"+f*a.ticklen,transFn:function(t){var e=P(t);return z(e)+\"rotate(\"+-s(e)+\")\"}}),h.drawLabels(t,a,{vals:c,layer:k,transFn:u,labelFns:I})}var R=[v].concat(p.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(C).call(_),F.exit().remove();var B=L(p.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([p.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");b(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(_),N.exit().remove(),R=[];var H=p.gauge.threshold.value;(H||0===H)&&R.push({range:[H,H],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(C).call(_),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([y]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(C).call(_),Y.exit().remove()}(t,0,e,{radius:N,innerRadius:j,gauge:H,layer:G,size:R,gaugeBg:E,gaugeOutline:L,transitionOpts:r,onComplete:d});var Y=P.selectAll(\"g.bullet\").data(z?e:[]);Y.exit().remove();var W=P.selectAll(\"g.bulletaxis\").data(z?e:[]);W.exit().remove(),z&&function(t,e,r,n){var i,a,s,l,c,f=r[0].trace,p=n.gauge,d=n.layer,m=n.gaugeBg,v=n.gaugeOutline,y=n.size,x=f.domain,T=n.transitionOpts,k=n.onComplete;p.enter().append(\"g\").classed(\"bullet\",!0),p.attr(\"transform\",o(y.l,y.t)),d.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),d.selectAll(\"g.xbulletaxistick,path,text\").remove();var M=y.h,A=f.gauge.bar.thickness*M,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(f._hasNumber||f._hasDelta?1-u.bulletNumberDomainSize:1);(i=w(t,f.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=h.calcTicks(i),s=h.makeTransTickFn(i),l=h.getTickSigns(i)[2],c=y.t+y.h,i.visible&&(h.drawTicks(t,i,{vals:\"inside\"===i.ticks?h.clipEnds(i,a):a,layer:d,path:h.makeTickPath(i,c,l),transFn:s}),h.drawLabels(t,i,{vals:a,layer:d,transFn:s,labelFns:h.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)*M})).attr(\"height\",(function(t){return t.thickness*M}))}var C=[m].concat(f.gauge.steps),P=p.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(_),P.exit().remove();var I=p.selectAll(\"g.value-bullet\").data([f.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",A).attr(\"y\",(M-A)/2).call(_),b(T)?I.select(\"rect\").transition().duration(T.duration).ease(T.easing).each(\"end\",(function(){k&&k()})).each(\"interrupt\",(function(){k&&k()})).attr(\"width\",Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return f.gauge.threshold.value||0===f.gauge.threshold.value})),z=p.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(f.gauge.threshold.value)).attr(\"x2\",i.c2p(f.gauge.threshold.value)).attr(\"y1\",(1-f.gauge.threshold.thickness)/2*M).attr(\"y2\",(1-(1-f.gauge.threshold.thickness)/2)*M).call(g.stroke,f.gauge.threshold.line.color).style(\"stroke-width\",f.gauge.threshold.line.width),z.exit().remove();var D=p.selectAll(\"g.gauge-outline\").data([v]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(_),D.exit().remove()}(t,0,e,{gauge:Y,layer:W,size:R,gaugeBg:E,gaugeOutline:L,transitionOpts:r,onComplete:d});var X=P.selectAll(\"text.title\").data(e);X.exit().remove(),X.enter().append(\"text\").classed(\"title\",!0),X.attr(\"text-anchor\",(function(){return z?v.right:v[C.title.align]})).text(C.title.text).call(c.font,C.title.font).call(f.convertToTspans,t),X.attr(\"transform\",(function(){var t,e=R.l+R.w*y[C.title.align],r=u.titlePadding,n=c.bBox(X.node());if(I){if(O)if(C.gauge.axis.visible)t=c.bBox(G.node()).top-r-n.bottom;else t=R.t+R.h/2-N/2-n.bottom-r;z&&(t=A-(n.top+n.bottom)/2,e=R.l-u.bulletPadding*R.w)}else t=C._numbersTop-r-n.bottom;return o(e,t)}))}))}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plots/cartesian/axes\":849,\"../../plots/cartesian/axis_defaults\":851,\"../../plots/cartesian/layout_attributes\":864,\"../../plots/cartesian/position_defaults\":867,\"./constants\":1146,\"@plotly/d3\":58}],1150:[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 u=e.exports=c(l({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),valuehoverformat:i(\"value\",1),showlegend:l({},s.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),\"calc\",\"nested\");u.flatshading.dflt=!0,u.lighting.facenormalsepsilon.dflt=0,u.x.editType=u.y.editType=u.z.editType=u.value.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../mesh3d/attributes\":1155}],1151:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),i=t(\"../streamtube/calc\").processGrid,a=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":670,\"../streamtube/calc\":1322}],1152:[function(t,e,r){\"use strict\";var n=t(\"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 e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,h=t.surface.fill,p=t.spaceframe.fill,d=!1,m=!1,g=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=f.indexOf(t._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},M=t._minValues,A=t._maxValues,S=t._vMin,E=t._vMax;function L(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function C(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,C()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function O(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function z(t){s=t}function D(t,e){return\"all\"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var r=t[0],n=t[1],i=t[2],a=function(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=(t[i]+e[i]+r[i])/3;return n}(r,n,i),o=Math.sqrt(1-s),l=O(a,r,o),c=O(a,n,o),u=O(a,i,o),f=e[0],h=e[1],p=e[2];return{xyzv:[[r,n,c],[c,l,r],[n,i,u],[u,c,n],[i,r,l],[l,u,i]],abc:[[f,h,-1],[-1,-1,f],[h,p,-1],[-1,-1,h],[p,f,-1],[-1,-1,p]]}}(r,n);l=u.xyzv,c=u.abc}for(var f=0;f<l.length;f++){r=l[f],n=c[f];for(var h=[],p=0;p<3;p++){var d=r[p][0],m=r[p][1],v=r[p][2],y=r[p][3],x=n[p]>-1?n[p]:L(d,m,v);h[p]=x>-1?x:I(d,m,v,R(e,y))}i=h[0],a=h[1],o=h[2],t._meshI.push(i),t._meshJ.push(a),t._meshK.push(o),++g}}function B(t,e,r,n){var i=t[3];i<r&&(i=r),i>n&&(i=n);for(var a=(t[3]-i)/(t[3]-e[3]+1e-9),o=[],s=0;s<4;s++)o[s]=(1-a)*t[s]+a*e[s];return o}function N(t,e,r){return t>=e&&t<=r}function j(t){var e=.001*(E-S);return t>=S-e&&t<=E+e}function U(e){for(var r=[],n=0;n<4;n++){var i=e[n];r.push([t._x[i],t._y[i],t._z[i],t._value[i]])}return r}function V(t,e,r,n,i,a){a||(a=1),r=[-1,-1,-1];var o=!1,s=[N(e[0][3],n,i),N(e[1][3],n,i),N(e[2][3],n,i)];if(!s[0]&&!s[1]&&!s[2])return!1;var l=function(t,e,r){return j(e[0][3])&&j(e[1][3])&&j(e[2][3])?(F(t,e,r),!0):a<3&&V(t,e,r,S,E,++a)};if(s[0]&&s[1]&&s[2])return l(t,e,r)||o;var c=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach((function(a){if(s[a[0]]&&s[a[1]]&&!s[a[2]]){var u=e[a[0]],f=e[a[1]],h=e[a[2]],p=B(h,u,n,i),d=B(h,f,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,o=l(t,[u,f,d],[r[a[0]],r[a[1]],-1])||o,c=!0}})),c||[[0,1,2],[1,2,0],[2,0,1]].forEach((function(a){if(s[a[0]]&&!s[a[1]]&&!s[a[2]]){var u=e[a[0]],f=e[a[1]],h=e[a[2]],p=B(f,u,n,i),d=B(h,u,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,c=!0}})),o}function q(t,e,r,n){var i=!1,a=U(e),o=[N(a[0][3],r,n),N(a[1][3],r,n),N(a[2][3],r,n),N(a[3][3],r,n)];if(!(o[0]||o[1]||o[2]||o[3]))return i;if(o[0]&&o[1]&&o[2]&&o[3])return m&&(i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(3,0,1),n(2,3,0),n(1,2,3)}(t,a,e)||i),i;var s=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]];if(m)i=F(t,[c,u,f],[e[l[0]],e[l[1]],e[l[2]]])||i;else{var p=B(h,c,r,n),d=B(h,u,r,n),g=B(h,f,r,n);i=F(null,[p,d,g],[-1,-1,-1])||i}s=!0}})),s?i:([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&!o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]],p=B(f,c,r,n),d=B(f,u,r,n),g=B(h,u,r,n),v=B(h,c,r,n);m?(i=F(t,[c,v,p],[e[l[0]],-1,-1])||i,i=F(t,[u,d,g],[e[l[1]],-1,-1])||i):i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(2,3,0)}(null,[p,d,g,v],[-1,-1,-1,-1])||i,s=!0}})),s||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach((function(l){if(o[l[0]]&&!o[l[1]]&&!o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]],p=B(u,c,r,n),d=B(f,c,r,n),g=B(h,c,r,n);m?(i=F(t,[c,p,d],[e[l[0]],-1,-1])||i,i=F(t,[c,d,g],[e[l[0]],-1,-1])||i,i=F(t,[c,g,p],[e[l[0]],-1,-1])||i):i=F(null,[p,d,g],[-1,-1,-1])||i,s=!0}})),i)}function H(t,e,r,n,i,a,o,s,l,c,u){var f=!1;return d&&(D(t,\"A\")&&(f=q(null,[e,r,n,a],c,u)||f),D(t,\"B\")&&(f=q(null,[r,n,i,l],c,u)||f),D(t,\"C\")&&(f=q(null,[r,a,o,l],c,u)||f),D(t,\"D\")&&(f=q(null,[n,a,s,l],c,u)||f),D(t,\"E\")&&(f=q(null,[r,n,a,l],c,u)||f)),m&&(f=q(t,[r,n,a,l],c,u)||f),f}function G(t,e,r,n,i,a,o,s){return[!0===s[0]||V(t,U([e,r,n]),[e,r,n],a,o),!0===s[1]||V(t,U([n,i,e]),[n,i,e],a,o)]}function Y(t,e,r,n,i,a,o,s,l){return s?G(t,e,r,i,n,a,o,l):G(t,r,i,n,e,a,o,l)}function W(t,e,r,n,i,a,o){var s,l,c,u,f=!1,h=function(){f=V(t,[s,l,c],[-1,-1,-1],i,a)||f,f=V(t,[c,u,s],[-1,-1,-1],i,a)||f},p=o[0],d=o[1],m=o[2];return p&&(s=O(U([k(e,r-0,n-0)])[0],U([k(e-1,r-0,n-0)])[0],p),l=O(U([k(e,r-0,n-1)])[0],U([k(e-1,r-0,n-1)])[0],p),c=O(U([k(e,r-1,n-1)])[0],U([k(e-1,r-1,n-1)])[0],p),u=O(U([k(e,r-1,n-0)])[0],U([k(e-1,r-1,n-0)])[0],p),h()),d&&(s=O(U([k(e-0,r,n-0)])[0],U([k(e-0,r-1,n-0)])[0],d),l=O(U([k(e-0,r,n-1)])[0],U([k(e-0,r-1,n-1)])[0],d),c=O(U([k(e-1,r,n-1)])[0],U([k(e-1,r-1,n-1)])[0],d),u=O(U([k(e-1,r,n-0)])[0],U([k(e-1,r-1,n-0)])[0],d),h()),m&&(s=O(U([k(e-0,r-0,n)])[0],U([k(e-0,r-0,n-1)])[0],m),l=O(U([k(e-0,r-1,n)])[0],U([k(e-0,r-1,n-1)])[0],m),c=O(U([k(e-1,r-1,n)])[0],U([k(e-1,r-1,n-1)])[0],m),u=O(U([k(e-1,r-0,n)])[0],U([k(e-1,r-0,n-1)])[0],m),h()),f}function X(t,e,r,n,i,a,o,s,l,c,u,f){var h=t;return f?(d&&\"even\"===t&&(h=null),H(h,e,r,n,i,a,o,s,l,c,u)):(d&&\"odd\"===t&&(h=null),H(h,l,s,o,a,i,n,r,e,c,u))}function Z(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<w;c++)for(var u=1;u<_;u++)a.push(Y(t,k(l,u-1,c-1),k(l,u-1,c),k(l,u,c-1),k(l,u,c),r,n,(l+u+c)%2,i&&i[o]?i[o]:[])),o++;return a}function J(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<b;c++)for(var u=1;u<w;u++)a.push(Y(t,k(c-1,l,u-1),k(c,l,u-1),k(c-1,l,u),k(c,l,u),r,n,(c+l+u)%2,i&&i[o]?i[o]:[])),o++;return a}function K(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<_;c++)for(var u=1;u<b;u++)a.push(Y(t,k(u-1,c-1,l),k(u-1,c,l),k(u,c-1,l),k(u,c,l),r,n,(u+c+l)%2,i&&i[o]?i[o]:[])),o++;return a}function Q(t,e,r){for(var n=1;n<w;n++)for(var i=1;i<_;i++)for(var a=1;a<b;a++)X(t,k(a-1,i-1,n-1),k(a-1,i-1,n),k(a-1,i,n-1),k(a-1,i,n),k(a,i-1,n-1),k(a,i-1,n),k(a,i,n-1),k(a,i,n),e,r,(a+i+n)%2)}function $(t,e,r){d=!0,Q(t,e,r),d=!1}function tt(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<w;u++)for(var f=1;f<_;f++)o.push(W(t,c,f,u,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function et(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<b;u++)for(var f=1;f<w;f++)o.push(W(t,u,c,f,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function rt(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<_;u++)for(var f=1;f<b;f++)o.push(W(t,f,u,c,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function nt(t,e){for(var r=[],n=t;n<e;n++)r.push(n);return r}return function(){if(P(),function(){for(var e=0;e<b;e++)for(var r=0;r<_;r++)for(var n=0;n<w;n++){var i=k(e,r,n);I(t._x[i],t._y[i],t._z[i],t._value[i])}}(),u&&p&&(z(p),m=!0,Q(null,S,E),m=!1),c&&h){z(h);for(var e=t.surface.pattern,r=t.surface.count,s=0;s<r;s++){var f=1===r?.5:s/(r-1),d=(1-f)*S+f*E,T=Math.abs(d-M)>Math.abs(d-A)?[M,d]:[d,A];$(e,T[0],T[1])}}var L=[[Math.min(S,A),Math.max(S,A)],[Math.min(M,E),Math.max(M,E)]];[\"x\",\"y\",\"z\"].forEach((function(e){for(var r=[],n=0;n<L.length;n++){var i=0,a=L[n][0],o=L[n][1],s=t.slices[e];if(s.show&&s.fill){z(s.fill);var c=[],u=[],f=[];if(s.locations.length)for(var h=0;h<s.locations.length;h++){var p=l(s.locations[h],\"x\"===e?v:\"y\"===e?y:x);0===p.distRatio?c.push(p.id):p.id>0&&(u.push(p.id),\"x\"===e?f.push([p.distRatio,0,0]):\"y\"===e?f.push([0,p.distRatio,0]):f.push([0,0,p.distRatio]))}else c=nt(1,\"x\"===e?b-1:\"y\"===e?_-1:w-1);u.length>0&&(r[i]=\"x\"===e?tt(null,u,a,o,f,r[i]):\"y\"===e?et(null,u,a,o,f,r[i]):rt(null,u,a,o,f,r[i]),i++),c.length>0&&(r[i]=\"x\"===e?Z(null,c,a,o,r[i]):\"y\"===e?J(null,c,a,o,r[i]):K(null,c,a,o,r[i]),i++)}var d=t.caps[e];d.show&&d.fill&&(z(d.fill),r[i]=\"x\"===e?Z(null,[0,b-1],a,o,r[i]):\"y\"===e?J(null,[0,_-1],a,o,r[i]):K(null,[0,w-1],a,o,r[i]),i++)}})),0===g&&P(),t._meshX=n,t._meshY=i,t._meshZ=a,t._meshIntensity=o,t._Xs=v,t._Ys=y,t._Zs=x}(),t}e.exports={findNearestOnAxis:l,generateIsoMeshes:h,createIsosurfaceTrace:function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../components/colorscale\":674,\"../../lib/gl_format_color\":795,\"../../lib/str2rgbarray\":823,\"../../plots/gl3d/zip3\":903,\"gl-mesh3d\":311}],1153:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,i){s(t,e,r,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"../../registry\":927,\"./attributes\":1150}],1154:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,calc:t(\"./calc\"),colorbar:{min:\"cmin\",max:\"cmax\"},plot:t(\"./convert\").createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"showLegend\"],meta:{}}},{\"../../plots/gl3d\":892,\"./attributes\":1150,\"./calc\":1151,\"./convert\":1152,\"./defaults\":1153}],1155:[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(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 0},n(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:o.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:\"calc\"},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:l({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\"},editType:\"calc\"},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:\"calc\"}),showlegend:l({},s.showlegend,{dflt:!1})})},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../surface/attributes\":1338}],1156:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":670}],1157:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),i=t(\"delaunay-triangulate\"),a=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new f(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../components/colorscale\":674,\"../../lib/gl_format_color\":795,\"../../lib/str2rgbarray\":823,\"../../plots/gl3d/zip3\":903,\"alpha-shape\":75,\"convex-hull\":141,\"delaunay-triangulate\":176,\"gl-mesh3d\":311}],1158:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function c(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return t&&t.length===e[0].length}))&&e}c([\"x\",\"y\",\"z\"])?(c([\"i\",\"j\",\"k\"]),(!e.i||e.j&&e.k)&&(!e.j||e.k&&e.i)&&(!e.k||e.i&&e.j)?(n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],s),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach((function(t){l(t)})),l(\"contour.show\")&&(l(\"contour.color\"),l(\"contour.width\")),\"intensity\"in t?(l(\"intensity\"),l(\"intensitymode\"),a(t,e,s,l,{prefix:\"\",cLetter:\"c\"})):(e.showscale=!1,\"facecolor\"in t?l(\"facecolor\"):\"vertexcolor\"in t?l(\"vertexcolor\"):l(\"color\",r)),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),l(\"xhoverformat\"),l(\"yhoverformat\"),l(\"zhoverformat\"),e._length=null):e.visible=!1):e.visible=!1}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"../../registry\":927,\"./attributes\":1155}],1159:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),colorbar:{min:\"cmin\",max:\"cmax\"},plot:t(\"./convert\"),moduleType:\"trace\",name:\"mesh3d\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"showLegend\"],meta:{}}},{\"../../plots/gl3d\":892,\"./attributes\":1155,\"./calc\":1156,\"./convert\":1157,\"./defaults\":1158}],1160:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function h(t){return{line:{color:n({},f.color,{dflt:t}),width:f.width,dash:o,editType:\"style\"},editType:\"style\"}}e.exports={xperiod:i.xperiod,xperiod0:i.xperiod0,xperiodalignment:i.xperiodalignment,xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},open:{valType:\"data_array\",editType:\"calc\"},high:{valType:\"data_array\",editType:\"calc\"},low:{valType:\"data_array\",editType:\"calc\"},close:{valType:\"data_array\",editType:\"calc\"},line:{width:n({},f.width,{}),dash:n({},o,{}),editType:\"style\"},increasing:h(c),decreasing:h(u),text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},tickwidth:{valType:\"number\",min:0,max:.5,dflt:.3,editType:\"calc\"},hoverlabel:n({},s.hoverlabel,{split:{valType:\"boolean\",dflt:!1,editType:\"style\"}})}},{\"../../components/drawing/attributes\":683,\"../../components/fx/attributes\":693,\"../../constants/delta.js\":769,\"../../lib\":799,\"../../plots/cartesian/axis_format_attributes\":852,\"../scatter/attributes\":1214}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=n._,a=t(\"../../plots/cartesian/axes\"),o=t(\"../../plots/cartesian/align_period\"),s=t(\"../../constants/numerical\").BADNUM;function l(t,e,r,n){return{o:t,h:e,l:r,c:n}}function c(t,e,r,o,l,c){for(var u=l.makeCalcdata(e,\"open\"),f=l.makeCalcdata(e,\"high\"),h=l.makeCalcdata(e,\"low\"),p=l.makeCalcdata(e,\"close\"),d=Array.isArray(e.text),m=Array.isArray(e.hovertext),g=!0,v=null,y=!!e.xperiodalignment,x=[],b=0;b<o.length;b++){var _=o[b],w=u[b],T=f[b],k=h[b],M=p[b];if(_!==s&&w!==s&&T!==s&&k!==s&&M!==s){M===w?null!==v&&M!==v&&(g=M>v):g=M>w,v=M;var A=c(w,T,k,M);A.pos=_,A.yc=(w+M)/2,A.i=b,A.dir=g?\"increasing\":\"decreasing\",A.x=A.pos,A.y=[k,T],y&&(A.orig_p=r[b]),d&&(A.tx=e.text[b]),m&&(A.htx=e.hovertext[b]),x.push(A)}else x.push({pos:_,empty:!0})}return e._extremes[l._id]=a.findExtremes(l,n.concat(h,f),{padded:!0}),x.length&&(x[0].t={labels:{open:i(t,\"open:\")+\" \",high:i(t,\"high:\")+\" \",low:i(t,\"low:\")+\" \",close:i(t,\"close:\")+\" \"}}),x}e.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis),i=a.getFromId(t,e.yaxis),s=function(t,e,r){var i=r._minDiff;if(!i){var a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var c=s[a];if(\"ohlc\"===c.type&&!0===c.visible&&c.xaxis===e._id){l.push(c);var u=e.makeCalcdata(c,\"x\");c._origX=u;var f=o(r,e,\"x\",u);c._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),u=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=c(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:u/2}),p.length?(n.extendFlat(p[0].t,{wHover:u/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:c}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/axes\":849}],1162:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./ohlc_defaults\"),a=t(\"../scatter/period_defaults\"),o=t(\"./attributes\");function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,o,r,i)}i(t,e,c,l)?(a(t,e,l,c,{x:!0}),c(\"xhoverformat\"),c(\"yhoverformat\"),c(\"line.width\"),c(\"line.dash\"),s(t,e,c,\"increasing\"),s(t,e,c,\"decreasing\"),c(\"text\"),c(\"hovertext\"),c(\"tickwidth\"),l._requestRangeslider[e.xaxis]=!0):e.visible=!1}},{\"../../lib\":799,\"../scatter/period_defaults\":1234,\"./attributes\":1160,\"./ohlc_defaults\":1165}],1163:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../lib\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../lib\").fillText,l=t(\"../../constants/delta.js\"),c={increasing:l.INCREASING.SYMBOL,decreasing:l.DECREASING.SYMBOL};function u(t,e,r,n){var i,s,l=t.cd,c=t.xa,u=l[0].trace,f=l[0].t,h=u.type,p=\"ohlc\"===h?\"l\":\"min\",d=\"ohlc\"===h?\"h\":\"max\",m=f.bPos||0,g=f.bdPos||f.tickLen,v=f.wHover,y=Math.min(1,g/Math.abs(c.r2c(c.range[1])-c.r2c(c.range[0])));function x(t){var r=function(t){return t.pos+m-e}(t);return a.inbox(r-v,r+v,i)}function b(t){var e=t[p],n=t[d];return e===n||a.inbox(e-r,n-r,i)}function _(t){return(x(t)+b(t))/2}i=t.maxHoverDistance-y,s=t.maxSpikeDistance-y;var w=a.getDistanceFunction(n,x,b,_);if(a.getClosest(l,w,t),!1===t.index)return null;var T=l[t.index];if(T.empty)return null;var k=u[T.dir],M=k.line.color;return o.opacity(M)&&k.line.width?t.color=M:t.color=k.fillcolor,t.x0=c.c2p(T.pos+m-g,!0),t.x1=c.c2p(T.pos+m+g,!0),t.xLabelVal=void 0!==T.orig_p?T.orig_p:T.pos,t.spikeDistance=_(T)*s/i,t.xSpike=c.c2p(T.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,c=o[0].t,f=[],h=u(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(!(\"all\"===p||-1!==d.indexOf(\"y\")))return[];for(var m=[\"high\",\"open\",\"close\",\"low\"],g={},v=0;v<m.length;v++){var y,x=m[v],b=l[x][h.index],_=s.c2p(b,!0);b in g?(y=g[b]).yLabel+=\"<br>\"+c.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((y=i.extendFlat({},h)).y0=y.y1=_,y.yLabelVal=b,y.yLabel=c.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),y.name=\"\",f.push(y),g[b]=y)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=u(t,e,r,i);if(!h)return[];var p=a[h.index],d=h.index=p.i,m=p.dir;function g(t){return f.labels[t]+n.hoverLabelText(o,l[t][d],l.yhoverformat)}var v=p.hi||l.hoverinfo,y=v.split(\"+\"),x=\"all\"===v,b=x||-1!==y.indexOf(\"y\"),_=x||-1!==y.indexOf(\"text\"),w=b?[g(\"open\"),g(\"high\"),g(\"low\"),g(\"close\")+\"  \"+c[m]]:[];return _&&s(p,l,w),h.extraText=w.join(\"<br>\"),h.y0=h.y1=o.c2p(p.yc,!0),[h]}e.exports={hoverPoints:function(t,e,r,n){return t.cd[0].trace.hoverlabel.split?f(t,e,r,n):h(t,e,r,n)},hoverSplit:f,hoverOnPoints:h}},{\"../../components/color\":662,\"../../components/fx\":702,\"../../constants/delta.js\":769,\"../../lib\":799,\"../../plots/cartesian/axes\":849}],1164:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"ohlc\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"showLegend\"],meta:{},attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\").calc,plot:t(\"./plot\"),style:t(\"./style\"),hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"./select\")}},{\"../../plots/cartesian\":863,\"./attributes\":1160,\"./calc\":1161,\"./defaults\":1162,\"./hover\":1163,\"./plot\":1166,\"./select\":1167,\"./style\":1168}],1165:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o=r(\"x\"),s=r(\"open\"),l=r(\"high\"),c=r(\"low\"),u=r(\"close\");if(r(\"hoverlabel.split\"),n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\"],a),s&&l&&c&&u){var f=Math.min(s.length,l.length,c.length,u.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},{\"../../lib\":799,\"../../registry\":927}],1166:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var c=a.tickLen,u=e.selectAll(\"path\").data(i.identity);u.enter().append(\"path\"),u.exit().remove(),u.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-c,!0),r=s.c2p(t.pos+c,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},{\"../../lib\":799,\"@plotly/d3\":58}],1167:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r<n.length;r++)n[r].selected=0;else for(r=0;r<n.length;r++){var l=n[r];e.contains([i.c2p(l.pos+s),a.c2p(l.yc)],null,l.i,t)?(o.push({pointNumber:l.i,x:i.c2d(l.pos),y:a.c2d(l.yc)}),l.selected=1):l.selected=0}return o}},{}],1168:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../components/color\");e.exports=function(t,e,r){var o=r||n.select(t).selectAll(\"g.ohlclayer\").selectAll(\"g.trace\");o.style(\"opacity\",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll(\"path\").each((function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style(\"fill\",\"none\").call(a.stroke,r.color).call(i.dashLine,r.dash,r.width).style(\"opacity\",e.selectedpoints&&!t.selected?.3:1)}}))}))}},{\"../../components/color\":662,\"../../components/drawing\":684,\"@plotly/d3\":58}],1169:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},i.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:a({editType:\"calc\"}),tickfont:a({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category ascending\",\"category descending\",\"array\"],dflt:\"trace\",editType:\"calc\"},categoryarray:{valType:\"data_array\",editType:\"calc\"},ticktext:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",dflt:[],editType:\"calc\"},displayindex:{valType:\"integer\",editType:\"calc\"},editType:\"calc\",visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"}},line:c,counts:{valType:\"number\",min:0,dflt:1,arrayOk:!0,editType:\"calc\"},customdata:void 0,hoverlabel:void 0,ids:void 0,legendgroup:void 0,legendrank:void 0,opacity:void 0,selectedpoints:void 0,showlegend:void 0}},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/domain\":877,\"../../plots/font_attributes\":878,\"../../plots/template_attributes\":922}],1170:[function(t,e,r){\"use strict\";var n=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\");r.name=\"parcats\",r.plot=function(t,e,r,a){var o=n(t.calcdata,\"parcats\");if(o.length){var 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\":887,\"./plot\":1175}],1171:[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 descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var 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,M={},A=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[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===M[L]&&(M[L]=f(S,E.color,E.rawColor)),h(M[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,M,m))}},{\"../../components/colorscale/calc\":670,\"../../components/colorscale/helpers\":673,\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/filter_unique.js\":790,\"../../lib/gup\":796,\"fast-isnumeric\":245}],1172:[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\":672,\"../../components/colorscale/helpers\":673,\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"../../plots/domain\":877,\"../parcoords/merge_length\":1185,\"./attributes\":1169}],1173:[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\":1169,\"./base_plot\":1170,\"./calc\":1171,\"./defaults\":1172,\"./plot\":1175}],1174:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plot_api/plot_api\"),a=t(\"../../components/fx\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../components/drawing\"),c=t(\"tinycolor2\"),u=t(\"../../lib/svg_text_utils\");function f(t,e,r,i){var a=t.map(R.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var f=c.selectAll(\"g.trace.parcats\").data(a,h),v=f.enter().append(\"g\").attr(\"class\",\"trace parcats\");f.attr(\"transform\",(function(t){return s(t.x,t.y)})),v.append(\"g\").attr(\"class\",\"paths\");var y=f.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);y.attr(\"fill\",(function(t){return t.model.color}));var _=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);b(_),y.attr(\"d\",(function(t){return t.svgD})),_.empty()||y.sort(d),y.exit().remove(),y.on(\"mouseover\",m).on(\"mouseout\",g).on(\"click\",x),v.append(\"g\").attr(\"class\",\"dimensions\");var k=f.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);k.enter().append(\"g\").attr(\"class\",\"dimension\"),k.attr(\"transform\",(function(t){return s(t.x,0)})),k.exit().remove();var M=k.selectAll(\"g.category\").data((function(t){return t.categories}),h),A=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return s(0,t.y)})),A.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})),w(A);var S=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);S.each((function(){o.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var O=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),T(O),S.exit().remove(),A.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return p(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",u.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return p(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){l.font(n.select(this),t.parcatsViewModel.categorylabelfont),u.convertToTspans(n.select(this),e)})),A.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){l.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",E).on(\"mouseout\",L),M.exit().remove(),k.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",P).on(\"dragend\",I)),f.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\")})),f.exit().remove()}function h(t){return t.key}function p(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function d(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function m(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),_(n.select(this));var e=v(t),r=y(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,s,l,u=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<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],x=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+x.x)/2,s=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,w=t.parcatsViewModel.y+s,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];a.loneHover({trace:h,x:b-d.left+m.left,y:w-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:A,eventData:[{data:h._input,fullData:h,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(d),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(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 y(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 x(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(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 _(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function w(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function T(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(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){k(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function A(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=k(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(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 S(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function E(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,s=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\"color\"===l?(!function(t){var e=n.select(t).datum(),r=k(e);_(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),A(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=k(t);_(e),e.each((function(){o.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=S(r,s,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(),u=n.select(r).datum(),f=u.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=u.parcatsViewModel.model.count,y=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},M=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&M.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(M.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),M.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),M.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var A=M.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:A,color:u.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,s,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(S(t,e,this))})),i}(r,s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function L(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(b(e.pathSelection),w(e.dimensionSelection.selectAll(\"g.category\")),T(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(d),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?A(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.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,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}N(t.parcatsViewModel),B(t.parcatsViewModel),D(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?A(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,N(t.parcatsViewModel),B(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){D(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function O(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function D(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return s(t.x,0)})),r(i).attr(\"transform\",(function(t){return s(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return p(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return p(t)?t.width+5:-5})).each((function(t){var e,r;p(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),l=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),T(l),a.each((function(){o.raiseToTop(this)})),a.exit().remove()}function R(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(N(m),B(m)),m}function F(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+i+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+i)+\" \"+l[s]+\",\"+(e[s]+i)+\" \"+(t[s]+r[s])+\",\"+(e[s]+i),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function B(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:g,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=g,E.count+=v.count}}y=\"hspline\"===t.pathShape?F(s,x,l,g,.5):F(s,x,l,g,0),h[m]={key:v.valueInds[0],model:v,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function N(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(j(t,a))}t.dimensions=r}function j(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),m=8*(f-h)/2,g=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(g.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<h;c++)l=g[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:m,bands:[],parcatsViewModel:t},m=m+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){f(r,t,n,e)}},{\"../../components/drawing\":684,\"../../components/fx\":702,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plot_api/plot_api\":835,\"@plotly/d3\":58,tinycolor2:594}],1175:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":1174}],1176:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/layout_attributes\":864,\"../../plots/domain\":877,\"../../plots/font_attributes\":878}],1177:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function m(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,i=v(t.brush.filter.getConsolidated(),t.height),a=[0],o=i.length?i[0][0]:null,s=0;s<i.length;s++)r=(e=i[s])[1]-e[0],a.push(o),a.push(r),(n=s+1)<i.length&&(o=i[n][0]-e[1]);return a.push(t.height),a}function v(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function y(){i.select(document.body).style(\"cursor\",null)}function x(t){t.attr(\"stroke-dasharray\",g)}function b(t,e){var r=i.select(t).selectAll(\".highlight, .highlight-shadow\");x(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function _(t,e){var r,i=t.brush,a=NaN,o={};if(i.filterSpecified){var s=t.height,l=i.filter.getConsolidated(),c=v(l,s),u=NaN,f=NaN,h=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(f=r?r-1:NaN,p&&p[0]>e){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]<c[h][0]-e?f:h),!isNaN(a)){var d=c[a],m=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return 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&&A(r)):A(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||A(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function M(t,e){return t[0]-e[0]}function A(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(M)).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){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.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\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.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\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(M)):[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\":799,\"../../lib/gup\":796,\"./constants\":1180,\"@plotly/d3\":58}],1178:[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.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":776,\"../../plots/get_data\":887,\"./plot\":1187,\"@plotly/d3\":58}],1179:[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\":674,\"../../lib\":799,\"../../lib/gup\":796}],1180:[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,deselectedLineColor:\"#777\",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\"}}},{}],1181:[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\")}},{\"../../components/colorscale/defaults\":672,\"../../components/colorscale/helpers\":673,\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"../../plots/cartesian/axes\":849,\"../../plots/domain\":877,\"./attributes\":1176,\"./axisbrush\":1177,\"./constants\":1180,\"./merge_length\":1185}],1182:[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\":799}],1183:[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:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1176,\"./base_plot\":1178,\"./calc\":1179,\"./defaults\":1181,\"./plot\":1187}],1184:[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 sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\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(mask,\\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){for(var d=[[],[]],m=0;m<64;m++)d[0][m]=m===i?1:0,d[1][m]=m===a?1:0;var g=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[y,x],viewBoxPos:[o+g,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:h,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+g)+(t.pad.l-g)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+g:c+.5)+(n===e?o+g:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-g+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];L(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!_,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:T.prop(\"scissorX\"),y:T.prop(\"scissorY\"),width:T.prop(\"scissorWidth\"),height:T.prop(\"scissorHeight\")}},viewport:{x:T.prop(\"viewportX\"),y:T.prop(\"viewportY\"),width:T.prop(\"viewportWidth\"),height:T.prop(\"viewportHeight\")},dither:!1,vert:i,frag:a,primitive:\"lines\",lineWidth:1,attributes:M,uniforms:{resolution:T.prop(\"resolution\"),viewBoxPos:T.prop(\"viewBoxPos\"),viewBoxSize:T.prop(\"viewBoxSize\"),dim0A:T.prop(\"dim0A\"),dim1A:T.prop(\"dim1A\"),dim0B:T.prop(\"dim0B\"),dim1B:T.prop(\"dim1B\"),dim0C:T.prop(\"dim0C\"),dim1C:T.prop(\"dim1C\"),dim0D:T.prop(\"dim0D\"),dim1D:T.prop(\"dim1D\"),loA:T.prop(\"loA\"),hiA:T.prop(\"hiA\"),loB:T.prop(\"loB\"),hiB:T.prop(\"hiB\"),loC:T.prop(\"loC\"),hiC:T.prop(\"hiC\"),loD:T.prop(\"loD\"),hiD:T.prop(\"hiD\"),palette:A,contextColor:T.prop(\"contextColor\"),mask:T.prop(\"maskTexture\"),drwLayer:T.prop(\"drwLayer\"),maskHeight:T.prop(\"maskHeight\")},offset:T.prop(\"offset\"),count:T.prop(\"count\")});function L(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(M,g,a),_||w||(A=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],m=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,M=d.canvasX,A=d.canvasY,L=M+d.panelSizeX;if(e||!S[m]||S[m][0]!==M||S[m][1]!==L){S[m]=[M,L];var C=y(r,a,o,i,m,v,M,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p);k.clearOnly=n;var P=e?r.lines.blockLineCount:g;h(T,E,k,P,g,C)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",A.destroy(),b&&b.destroy(),M)M[e].destroy()},update:L}}},{\"../../lib\":799,\"./constants\":1180,glslify:438}],1185:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],1186:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"color-rgba\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../lib/svg_text_utils\"),u=t(\"../../components/drawing\"),f=t(\"../../components/colorscale\"),h=t(\"../../lib/gup\"),p=h.keyFun,d=h.repeat,m=h.unwrap,g=t(\"./helpers\"),v=t(\"./constants\"),y=t(\"./axisbrush\"),x=t(\"./lines\");function b(t,e,r){return o.aggNums(t,null,e,r)}function _(t,e){return T(b(Math.min,t,e),b(Math.max,t,e))}function w(t){var e=t.range;return e?T(e[0],e[1]):_(t.values,t._length)}function T(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function k(t,e,r,i,a){var o,s,l=w(r);return i?n.scale.ordinal().domain(i.map((o=n.format(r.tickformat),s=a,s?function(t,e){var r=s[e];return null==r?o(t):r}:o))).range(i.map((function(r){var n=(r-l[0])/(l[1]-l[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(l).range([t-e,e])}function M(t){if(t.tickvals){var e=w(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function A(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=i(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),a=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return a.map((function(e){return e(t)}))}}function S(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function E(t,e,r){var a=m(e),s=a.trace,l=g.convertTypedArray(a.lineColor),c=s.line,u={color:i(v.deselectedLineColor)},h=f.extractOpts(c),p=h.reversescale?f.flipScale(a.cscale):a.cscale,d=s.domain,y=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,T=s.labelfont,k=s.tickfont,M=s.rangefont,S=o.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(w({values:l,range:[h.min,h.max],_length:s._length}))),blockLineCount:v.blockLineCount,canvasOverdrag:v.overdrag*v.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,I=L;return{key:r,colCount:y.filter(g.isVisible).length,dimensions:y,tickDistance:v.tickDistance,unitToColor:A(p),lines:S,deselectedLines:u,labelAngle:b,labelSide:_,labelFont:T,tickFont:k,rangeFont:M,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*v.canvasPixelRatio+2*S.canvasOverdrag,canvasHeight:I*v.canvasPixelRatio,width:P,height:I,canvasPixelRatio:v.canvasPixelRatio}}function L(t,e,r){var i=r.width,a=r.height,s=r.dimensions,l=r.canvasPixelRatio,c=function(t){return i*t/Math.max(1,r.colCount-1)},u=v.verticalPadding/a,f=function(t,e){return n.scale.linear().range([e,t-e])}(a,v.verticalPadding),h={key:r.key,xScale:c,model:r,inBrushDrag:!1},p={};return h.dimensions=s.filter(g.isVisible).map((function(i,s){var d=function(t,e){return n.scale.linear().domain(w(t)).range([e,1-e])}(i,u),m=p[i.label];p[i.label]=(m||0)+1;var x=i.label+(m?\"__\"+m:\"\"),b=i.constraintrange,_=b&&b.length;_&&!Array.isArray(b[0])&&(b=[b]);var T=_?b.map((function(t){return t.map(d)})):[[-1/0,1/0]],A=i.values;A.length>i._length&&(A=A.slice(0,i._length));var E,L=i.tickvals;function C(t,e){return{val:t,text:E[e]}}function P(t,e){return t.val-e.val}if(Array.isArray(L)&&L.length){E=i.ticktext,Array.isArray(E)&&E.length?E.length>L.length?E=E.slice(0,L.length):L.length>E.length&&(L=L.slice(0,E.length)):E=L.map(n.format(i.tickformat));for(var I=1;I<L.length;I++)if(L[I]<L[I-1]){for(var O=L.map(C).sort(P),z=0;z<L.length;z++)L[z]=O[z].val,E[z]=O[z].text;break}}else L=void 0;return A=g.convertTypedArray(A),{key:x,label:i.label,tickFormat:i.tickformat,tickvals:L,ticktext:E,ordinal:g.isOrdinal(i),multiselect:i.multiselect,xIndex:s,crossfilterDimensionIndex:s,visibleIndex:i._index,height:a,values:A,paddedUnitValues:A.map(d),unitTickvals:L&&L.map(d),xScale:c,x:c(s),canvasX:c(s)*l,unitToPaddedPx:f,domainScale:k(a,v.verticalPadding,i,L,E),ordinalScale:M(i),parent:h,model:r,brush:y.makeBrush(t,_,T,(function(){t.linePickActive(!1)}),(function(){var e=h;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=S(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(h.focusLayer.render(h.panels,!0),h.pickLayer&&h.pickLayer.render(h.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=d.invert,a=r.map((function(t){return t.map(n).sort(o.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(h.key,i._index,a)}}))}})),h}function C(t){t.classed(v.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function P(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e){for(var r=e.panels||(e.panels=[]),n=t.data(),i=0;i<n.length-1;i++){var a=r[i]||(r[i]={}),o=n[i],s=n[i+1];a.dim0=o,a.dim1=s,a.canvasX=o.canvasX,a.panelSizeX=s.canvasX-o.canvasX,a.panelSizeY=e.model.canvasHeight,a.y=0,a.canvasY=0}}function O(t,e){return a.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return O(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,i){var f=t._fullLayout,h=f._toppaper,b=f._glcontainer,w=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,o=0;o<i.length;o++){var s=i[o].values,l=i[o]._ax;l&&(l.range?l.range=T(l.range[0],l.range[1]):l.range=_(s,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[o].tickformat,a.calcTicks(l),l.cleanRange())}}(e);var k,M,A=(k=!0,M=!1,{linePickActive:function(t){return arguments.length?k=!!t:k},contextShown:function(t){return arguments.length?M=!!t:M}}),D=e.filter((function(t){return m(t).trace.visible})).map(E.bind(0,r)).map(L.bind(0,A,i));b.each((function(t,e){return o.extendFlat(t,D[e])}));var R=b.selectAll(\".gl-canvas\").each((function(t){t.viewModel=D[0],t.viewModel.paperColor=w,t.model=t.viewModel?t.viewModel.model:null})),F=null;R.filter((function(t){return t.pick})).style(\"pointer-events\",\"auto\").on(\"mousemove\",(function(t){if(A.linePickActive()&&t.lineLayer&&i&&i.hover){var e=n.event,r=this.width,a=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=a)return;var c=t.lineLayer.readPixel(s,a-1-l),u=0!==c[3],f=u?c[2]+256*(c[1]+256*c[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==F&&(u?i.hover(h):i.unhover&&i.unhover(h),F=f)}})),R.style(\"opacity\",(function(t){return t.pick?0:1})),h.style(\"background\",\"rgba(255, 255, 255, 0)\");var B=h.selectAll(\".\"+v.cn.parcoords).data(D,p);B.exit().remove(),B.enter().append(\"g\").classed(v.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),B.attr(\"transform\",(function(t){return l(t.model.translateX,t.model.translateY)}));var N=B.selectAll(\".\"+v.cn.parcoordsControlView).data(d,p);N.enter().append(\"g\").classed(v.cn.parcoordsControlView,!0),N.attr(\"transform\",(function(t){return l(t.model.pad.l,t.model.pad.t)}));var j=N.selectAll(\".\"+v.cn.yAxis).data((function(t){return t.dimensions}),p);j.enter().append(\"g\").classed(v.cn.yAxis,!0),N.each((function(t){I(j,t)})),R.each((function(t){if(t.viewModel){!t.lineLayer||i?t.lineLayer=x(this,t):t.lineLayer.update(t),(t.key||0===t.key)&&(t.viewModel[t.key]=t.lineLayer);var e=!t.context||i;t.lineLayer.render(t.viewModel.panels,e)}})),j.attr(\"transform\",(function(t){return l(t.xScale(t.xIndex),0)})),j.call(n.behavior.drag().origin((function(t){return t})).on(\"drag\",(function(t){var e=t.parent;A.linePickActive(!1),t.x=Math.max(-v.overdrag,Math.min(t.model.width+v.overdrag,n.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,j.sort((function(t,e){return t.x-e.x})).each((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio})),I(j,e),j.filter((function(e){return 0!==Math.abs(t.xIndex-e.xIndex)})).attr(\"transform\",(function(t){return l(t.xScale(t.xIndex),0)})),n.select(this).attr(\"transform\",l(t.x,0)),j.each((function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)})),e.contextLayer&&e.contextLayer.render(e.panels,!1,!S(e)),e.focusLayer.render&&e.focusLayer.render(e.panels)})).on(\"dragend\",(function(t){var e=t.parent;t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,I(j,e),n.select(this).attr(\"transform\",(function(t){return l(t.x,0)})),e.contextLayer&&e.contextLayer.render(e.panels,!1,!S(e)),e.focusLayer&&e.focusLayer.render(e.panels),e.pickLayer&&e.pickLayer.render(e.panels,!0),A.linePickActive(!0),i&&i.axesMoved&&i.axesMoved(e.key,e.dimensions.map((function(t){return t.crossfilterDimensionIndex})))}))),j.exit().remove();var U=j.selectAll(\".\"+v.cn.axisOverlays).data(d,p);U.enter().append(\"g\").classed(v.cn.axisOverlays,!0),U.selectAll(\".\"+v.cn.axis).remove();var V=U.selectAll(\".\"+v.cn.axis).data(d,p);V.enter().append(\"g\").classed(v.cn.axis,!0),V.each((function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return g.isOrdinal(t)?e:O(t.model.dimensions[t.visibleIndex],e)})).scale(r)),u.font(V.selectAll(\"text\"),t.model.tickFont)})),V.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),V.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(w)).style(\"cursor\",\"default\");var q=U.selectAll(\".\"+v.cn.axisHeading).data(d,p);q.enter().append(\"g\").classed(v.cn.axisHeading,!0);var H=q.selectAll(\".\"+v.cn.axisTitle).data(d,p);H.enter().append(\"text\").classed(v.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",\"auto\"),H.text((function(t){return t.label})).each((function(e){var r=n.select(this);u.font(r,e.model.labelFont),c.convertToTspans(r,t)})).attr(\"transform\",(function(t){var e=P(t.model.labelAngle,t.model.labelSide),r=v.axisTitleOffset;return(e.dir>0?\"\":l(0,2*r+t.model.height))+s(e.degrees)+l(-r*e.dx,-r*e.dy)})).attr(\"text-anchor\",(function(t){var e=P(t.model.labelAngle,t.model.labelSide);return 2*Math.abs(e.dx)>Math.abs(e.dy)?e.dir*e.dx<0?\"start\":\"end\":\"middle\"}));var G=U.selectAll(\".\"+v.cn.axisExtent).data(d,p);G.enter().append(\"g\").classed(v.cn.axisExtent,!0);var Y=G.selectAll(\".\"+v.cn.axisExtentTop).data(d,p);Y.enter().append(\"g\").classed(v.cn.axisExtentTop,!0),Y.attr(\"transform\",l(0,-v.axisExtentOffset));var W=Y.selectAll(\".\"+v.cn.axisExtentTopText).data(d,p);W.enter().append(\"text\").classed(v.cn.axisExtentTopText,!0).call(C),W.text((function(t){return z(t,!0)})).each((function(t){u.font(n.select(this),t.model.rangeFont)}));var X=G.selectAll(\".\"+v.cn.axisExtentBottom).data(d,p);X.enter().append(\"g\").classed(v.cn.axisExtentBottom,!0),X.attr(\"transform\",(function(t){return l(0,t.model.height+v.axisExtentOffset)}));var Z=X.selectAll(\".\"+v.cn.axisExtentBottomText).data(d,p);Z.enter().append(\"text\").classed(v.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(C),Z.text((function(t){return z(t,!1)})).each((function(t){u.font(n.select(this),t.model.rangeFont)})),y.ensureAxisBrush(U,w)}},{\"../../components/colorscale\":674,\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/gup\":796,\"../../lib/svg_text_utils\":824,\"../../plots/cartesian/axes\":849,\"./axisbrush\":1177,\"./constants\":1180,\"./helpers\":1182,\"./lines\":1184,\"@plotly/d3\":58,\"color-rgba\":133}],1187:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var 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)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[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,[u[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 o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":812,\"./helpers\":1182,\"./parcoords\":1186}],1188:[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:\"number\",min:-360,max:360,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\":661,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/domain\":877,\"../../plots/font_attributes\":878,\"../../plots/template_attributes\":922}],1189:[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\":913}],1190:[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;if((y=+y)<0)continue}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(\"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\":662,\"fast-isnumeric\":245,tinycolor2:594}],1191:[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\":799,\"../../plots/domain\":877,\"../bar/defaults\":941,\"./attributes\":1188,\"fast-isnumeric\":245}],1192:[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,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\":698}],1193:[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\":799}],1194:[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\":1188,\"./base_plot\":1189,\"./calc\":1190,\"./defaults\":1191,\"./layout_attributes\":1195,\"./layout_defaults\":1196,\"./plot\":1197,\"./style\":1198,\"./style_one\":1199}],1195:[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\"}}},{}],1196:[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\":799,\"./layout_attributes\":1195}],1197:[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.trace,s=i.cx,c=i.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var f=u.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:o._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var h=t.rInscribed||0,p=s+t.pxmid[0]*(1-h),d=c+t.pxmid[1]*(1-h),m=r.separators,y=[];if(f&&-1!==f.indexOf(\"label\")&&y.push(t.label),t.text=g.castOption(u.hovertext||u.text,t.pts),f&&-1!==f.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),f&&-1!==f.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),f&&-1!==f.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;a.loneHover({trace:o,x0:p-h*i.r,x1:p+h*i.r,y:d,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==f.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(_.family,t.pts),fontSize:g.castOption(_.size,t.pts),fontColor:g.castOption(_.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(s,i)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[o.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:M(a,o/e),rotate:A(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:M(a,o/e),rotate:A(i+Math.PI/2)}}function M(t,e){return Math.cos(e)-t*e}function A(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var M=C(i.px0,i.px1,!0,1);if(T){var A=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+A*i.px0[0]+\",\"+A*i.px0[1]+M+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var M=v.targetY;i.yLabelMin=M-y.height/2,i.yLabelMid=M,i.yLabelMax=M+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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)}}}(y,m),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,i.attr(\"transform\",l.getTextTransform(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()}))}(v,m),_&&m.automargin){var k=s.bBox(h.node()),M=m.domain,A=a.w*(M.x[1]-M.x[0]),S=a.h*(M.y[1]-M.y[0]),E=(.5*A-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+m.uid+\".automargin\",{xl:M.x[0]-E,xr:M.x[1]+E,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.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\":662,\"../../components/drawing\":684,\"../../components/fx\":702,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../../plots/plots\":913,\"../bar/constants\":939,\"../bar/uniform_text\":953,\"./event_data\":1192,\"./helpers\":1193,\"@plotly/d3\":58}],1198:[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\":953,\"./style_one\":1199,\"@plotly/d3\":58}],1199:[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\":662,\"./helpers\":1193}],1200:[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\":1214}],1201:[function(t,e,r){\"use strict\";var n=t(\"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 Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=i(t.marker.color),g=i(t.marker.border.color),v=t.opacity*t.marker.opacity;m[3]*=v,this.pointcloudOptions.color=m;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,g[3]*=v,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../lib/str2rgbarray\":823,\"../../plots/cartesian/autorange\":848,\"../scatter/get_trace_color\":1224,\"gl-pointcloud2d\":324}],1202:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":799,\"./attributes\":1200}],1203:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" \");e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"../scatter3d/calc\"),plot:t(\"./convert\"),moduleType:\"trace\",name:\"pointcloud\",basePlotModule:t(\"../../plots/gl2d\"),categories:[\"gl\",\"gl2d\",\"showLegend\"],meta:{}}},{\"../../plots/gl2d\":890,\"../scatter3d/calc\":1243,\"./attributes\":1200,\"./convert\":1201,\"./defaults\":1202}],1204:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers,h=t(\"../../lib/extend\").extendFlat,p=t(\"../../plot_api/edit_types\").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 0,node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]})},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:u(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:h(c().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 0},{\"../../components/color/attributes\":661,\"../../components/colorscale/attributes\":669,\"../../components/fx/attributes\":693,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plot_api/plot_template\":838,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/domain\":877,\"../../plots/font_attributes\":878,\"../../plots/template_attributes\":922}],1205:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../components/fx/layout_attributes\"),s=t(\"../../lib/setcursor\"),l=t(\"../../components/dragelement\"),c=t(\"../../plots/cartesian/select\").prepSelect,u=t(\"../../lib\"),f=t(\"../../registry\");function h(t,e){var r=t._fullData[e],n=t._fullLayout,i=n.dragmode,a=\"pan\"===n.dragmode?\"move\":\"crosshair\",o=r._bgRect;if(\"pan\"!==i&&\"zoom\"!==i){s(o,a);var h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);a[c.pointNumber-i.node._count]=!1}else o.push(c.pointNumber)}n=a.filter(Boolean).concat([o]),f.call(\"_guiRestyle\",t,{\"node.groups\":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,i)}};l.init(d)}}r.name=\"sankey\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=i(t.calcdata,\"sankey\")[0];a(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"sankey\"),a=e._has&&e._has(\"sankey\");i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)h(t,e)}},{\"../../components/dragelement\":681,\"../../components/fx/layout_attributes\":703,\"../../lib\":799,\"../../lib/setcursor\":820,\"../../plot_api/edit_types\":831,\"../../plots/cartesian/select\":869,\"../../plots/get_data\":887,\"../../registry\":927,\"./plot\":1210}],1206:[function(t,e,r){\"use strict\";var n=t(\"strongly-connected-components\"),i=t(\"../../lib\"),a=t(\"../../lib/gup\").wrap,o=i.isArrayOrTypedArray,s=i.isIndex,l=t(\"../../components/colorscale\");function c(t){var e,r=t.node,a=t.link,c=[],u=o(a.color),f=o(a.customdata),h={},p={},d=a.colorscales.length;for(e=0;e<d;e++){var m=a.colorscales[e],g=l.extractScale(m,{cLetter:\"c\"}),v=l.makeColorScaleFunc(g);p[m.label]=v}var y=0;for(e=0;e<a.value.length;e++)a.source[e]>y&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x<T.length;x++){var k=T[x],M=b+e;w.hasOwnProperty(k)?i.warn(\"Node \"+k+\" is already part of a group.\"):w[k]=M}}var A={source:[],target:[]};for(e=0;e<a.value.length;e++){var S=a.value[e],E=a.source[e],L=a.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),A.source.push(E),A.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;e<I;e++)if(h[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,A.source,A.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":674,\"../../lib\":799,\"../../lib/gup\":796,\"strongly-connected-components\":586}],1207:[function(t,e,r){\"use strict\";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}},{}],1208:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color\"),o=t(\"tinycolor2\"),s=t(\"../../plots/domain\").defaults,l=t(\"../../components/fx/hoverlabel_defaults\"),c=t(\"../../plot_api/plot_template\"),u=t(\"../../plots/array_container_defaults\");function f(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r(\"label\"),r(\"cmin\"),r(\"cmax\"),r(\"colorscale\")}e.exports=function(t,e,r,h){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(h.hoverlabel,t.hoverlabel),m=t.node,g=c.newContainer(e,\"node\");function v(t,e){return n.coerce(m,g,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(m,g,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\";_(\"color\",n.repeat(T,b.value.length)),_(\"customdata\"),u(x,b,{name:\"colorscales\",handleItemDefaults:f}),s(e,h,p),p(\"orientation\"),p(\"valueformat\"),p(\"valuesuffix\"),g.x.length&&g.y.length&&(w=\"freeform\"),p(\"arrangement\",w),n.coerceFont(p,\"textfont\",n.extendFlat({},h.font)),e._length=null}},{\"../../components/color\":662,\"../../components/fx/hoverlabel_defaults\":700,\"../../lib\":799,\"../../plot_api/plot_template\":838,\"../../plots/array_container_defaults\":844,\"../../plots/domain\":877,\"./attributes\":1204,tinycolor2:594}],1209:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"sankey\",basePlotModule:t(\"./base_plot\"),selectPoints:t(\"./select.js\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1204,\"./base_plot\":1205,\"./calc\":1206,\"./defaults\":1208,\"./plot\":1210,\"./select.js\":1212}],1210:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./render\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../lib\"),l=t(\"./constants\").cn,c=s._;function u(t){return\"\"!==t}function f(t,e){return t.filter((function(t){return t.key===e.traceId}))}function h(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function p(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function d(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function g(t,e,r){e&&r&&f(r,e).selectAll(\".\"+l.sankeyLink).filter(d(e)).call(y.bind(0,e,r,!1))}function v(t,e,r){e&&r&&f(r,e).selectAll(\".\"+l.sankeyLink).filter(d(e)).call(x.bind(0,e,r,!1))}function y(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&f(e,t).selectAll(\".\"+l.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&f(e,t).selectAll(\".\"+l.sankeyNode).filter(m(t)).call(g)}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&f(e,t).selectAll(\".\"+l.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&f(e,t).selectAll(l.sankeyNode).filter(m(t)).call(v)}function b(t,e){var r=t.hoverlabel||{},n=s.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,s=r._paper,f=r._size,d=0;d<t._fullData.length;d++)if(t._fullData[d].visible&&t._fullData[d].type===l.sankey&&!t._fullData[d]._viewInitial){var m=t._fullData[d].node;t._fullData[d]._viewInitial={node:{groups:m.groups.slice(),x:m.x.slice(),y:m.y.slice()}}}var _=c(t,\"source:\")+\" \",w=c(t,\"target:\")+\" \",T=c(t,\"concentration:\")+\" \",k=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";i(t,s,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var s=i.link.trace.link;if(\"none\"!==s.hoverinfo&&\"skip\"!==s.hoverinfo){for(var l=[],c=0,f=0;f<i.flow.links.length;f++){var d=i.flow.links[f];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===d.pointNumber){i.link.pointNumber===d.pointNumber&&(c=f),d.fullData=d.trace,s=i.link.trace.link;var m=v(d),g={valueLabel:n.format(i.valueFormat)(d.value)+i.valueSuffix};l.push({x:m[0],y:m[1],name:g.valueLabel,text:[d.label||\"\",_+d.source.label,w+d.target.label,d.concentrationscale?T+n.format(\"%0.2f\")(d.flow.labelConcentration):\"\"].filter(u).join(\"<br>\"),color:b(s,\"bgcolor\")||o.addOpacity(d.color,1),borderColor:b(s,\"bordercolor\"),fontFamily:b(s,\"font.family\"),fontSize:b(s,\"font.size\"),fontColor:b(s,\"font.color\"),nameLength:b(s,\"namelength\"),textAlign:b(s,\"align\"),idealAlign:n.event.x<m[0]?\"right\":\"left\",hovertemplate:s.hovertemplate,hovertemplateLabels:g,eventData:[d]})}}a.loneHover(l,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||h(this,.65),p(this)}))}}function v(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,i,o,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),a.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],a.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(g,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var s=n.select(e).select(\".\"+l.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),f=s.node().getBoundingClientRect(),d=f.left-2-c.left,m=f.right+2-c.left,g=f.top+f.height/4-c.top,v={valueLabel:n.format(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var y=t._fullLayout._invScaleX,x=t._fullLayout._invScaleY,_=a.loneHover({x0:y*d,x1:y*m,y:x*g,name:n.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,k+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||i.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});h(_,.85),p(_)}}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,i,o),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),a.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(v,r,i),a.click(t,{target:!0})}}})}},{\"../../components/color\":662,\"../../components/fx\":702,\"../../lib\":799,\"./constants\":1207,\"./render\":1211,\"@plotly/d3\":58}],1211:[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 M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var A,S=parseInt(i._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function M(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:A,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function A(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"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\",A())}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=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){o=!0}));var s=t._fullLayout._dragCover,m=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(m,g);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",O);var _=b.selectAll(\".\"+l.cn.sankeyLinks).data(v,g);_.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=_.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(M.bind(null,t))}),g);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\"stroke\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\"d\",A()),L.style(\"opacity\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var C=b.selectAll(\".\"+l.cn.sankeyNodeSet).data(v,g);C.enter().append(\"g\").classed(l.cn.sankeyNodeSet,!0),C.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var R=C.selectAll(\".\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),g);R.enter().append(\"g\").classed(l.cn.sankeyNode,!0).call(E).style(\"opacity\",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var F=R.selectAll(\".\"+l.cn.nodeRect).data(v);F.enter().append(\"rect\").classed(l.cn.nodeRect,!0).call(P),F.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return u.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll(\".\"+l.cn.nodeLabel).data(v);B.enter().append(\"text\").classed(l.cn.nodeLabel,!0).style(\"cursor\",\"default\"),B.attr(\"data-notex\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\"text-shadow\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\"text-anchor\",(function(t){return t.horizontal&&t.left?\"end\":\"start\"})).attr(\"transform\",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?\"\":\"scale(-1,1)\"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../../constants/alignment\":767,\"../../lib\":799,\"../../lib/gup\":796,\"../../lib/svg_text_utils\":824,\"../../registry\":927,\"./constants\":1207,\"@plotly/d3\":58,\"@plotly/d3-sankey\":57,\"@plotly/d3-sankey-circular\":56,\"d3-force\":166,\"d3-interpolate\":168,tinycolor2:594}],1212:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var s=[(o.x0+o.x1)/2,(o.y0+o.y1)/2];\"v\"===n.orientation&&s.reverse(),e&&e.contains(s,!1,a,t)&&r.push({pointNumber:o.pointNumber})}}return r}},{}],1213:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.texttemplate,t,\"txt\"),n.mergeArray(e.hovertext,t,\"htx\"),n.mergeArray(e.customdata,t,\"data\"),n.mergeArray(e.textposition,t,\"tp\"),e.textfont&&(n.mergeArrayCastPositive(e.textfont.size,t,\"ts\"),n.mergeArray(e.textfont.color,t,\"tc\"),n.mergeArray(e.textfont.family,t,\"tf\"));var i=e.marker;if(i){n.mergeArrayCastPositive(i.size,t,\"ms\"),n.mergeArrayCastPositive(i.opacity,t,\"mo\"),n.mergeArray(i.symbol,t,\"mx\"),n.mergeArray(i.color,t,\"mc\");var a=i.line;i.line&&(n.mergeArray(a.color,t,\"mlc\"),n.mergeArrayCastPositive(a.width,t,\"mlw\"));var o=i.gradient;o&&\"none\"!==o.type&&(n.mergeArray(o.type,t,\"mgt\"),n.mergeArray(o.color,t,\"mgc\"))}}},{\"../../lib\":799}],1214:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/font_attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../components/drawing\"),u=t(\"./constants\"),f=t(\"../../lib/extend\").extendFlat;e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\",anim:!0},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\",anim:!0},dx:{valType:\"number\",dflt:1,editType:\"calc\",anim:!0},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\",anim:!0},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\",anim:!0},dy:{valType:\"number\",dflt:1,editType:\"calc\",anim:!0},xperiod:{valType:\"any\",dflt:0,editType:\"calc\"},yperiod:{valType:\"any\",dflt:0,editType:\"calc\"},xperiod0:{valType:\"any\",editType:\"calc\"},yperiod0:{valType:\"any\",editType:\"calc\"},xperiodalignment:{valType:\"enumerated\",values:[\"start\",\"middle\",\"end\"],dflt:\"middle\",editType:\"calc\"},yperiodalignment:{valType:\"enumerated\",values:[\"start\",\"middle\",\"end\"],dflt:\"middle\",editType:\"calc\"},xhoverformat:n(\"x\"),yhoverformat:n(\"y\"),stackgroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc\"},groupnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},stackgaps:{valType:\"enumerated\",values:[\"infer zero\",\"interpolate\"],dflt:\"infer zero\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},texttemplate:i({},{}),hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"],editType:\"calc\"},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"],editType:\"style\"},hovertemplate:a({},{keys:u.eventDataKeys}),line:{color:{valType:\"color\",editType:\"style\",anim:!0},width:{valType:\"number\",min:0,dflt:2,editType:\"style\",anim:!0},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1,editType:\"plot\"},dash:f({},l,{editType:\"style\"}),simplify:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},cliponaxis:{valType:\"boolean\",dflt:!0,editType:\"plot\"},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],editType:\"calc\"},fillcolor:{valType:\"color\",editType:\"style\",anim:!0},marker:f({symbol:{valType:\"enumerated\",values:c.symbolList,dflt:\"circle\",arrayOk:!0,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0,editType:\"style\",anim:!0},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0,editType:\"calc\",anim:!0},maxdisplayed:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},sizeref:{valType:\"number\",dflt:1,editType:\"calc\"},sizemin:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\",editType:\"calc\"},line:f({width:{valType:\"number\",min:0,arrayOk:!0,editType:\"style\",anim:!0},editType:\"calc\"},o(\"marker.line\",{anim:!0})),gradient:{type:{valType:\"enumerated\",values:[\"radial\",\"horizontal\",\"vertical\",\"none\"],arrayOk:!0,dflt:\"none\",editType:\"calc\"},color:{valType:\"color\",arrayOk:!0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},o(\"marker\",{anim:!0})),selected:{marker:{opacity:{valType:\"number\",min:0,max:1,editType:\"style\"},color:{valType:\"color\",editType:\"style\"},size:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},textfont:{color:{valType:\"color\",editType:\"style\"},editType:\"style\"},editType:\"style\"},unselected:{marker:{opacity:{valType:\"number\",min:0,max:1,editType:\"style\"},color:{valType:\"color\",editType:\"style\"},size:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},textfont:{color:{valType:\"color\",editType:\"style\"},editType:\"style\"},editType:\"style\"},textposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle left\",\"middle center\",\"middle right\",\"bottom left\",\"bottom center\",\"bottom right\"],dflt:\"middle center\",arrayOk:!0,editType:\"calc\"},textfont:s({editType:\"calc\",colorEditType:\"style\",arrayOk:!0})}},{\"../../components/colorscale/attributes\":669,\"../../components/drawing\":684,\"../../components/drawing/attributes\":683,\"../../lib/extend\":789,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/font_attributes\":878,\"../../plots/template_attributes\":922,\"./constants\":1218}],1215:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../plots/cartesian/align_period\"),s=t(\"../../constants/numerical\").BADNUM,l=t(\"./subtypes\"),c=t(\"./colorscale_calc\"),u=t(\"./arrays_to_calcdata\"),f=t(\"./calc_selection\");function h(t,e,r,n,i,o,s){var c=e._length,u=t._fullLayout,f=r._id,h=n._id,p=u._firstScatter[m(e)]===e.uid,d=(g(e,u,r,n)||{}).orientation,v=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},x={padded:!0};s&&(y.ppad=x.ppad=s);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&(\"tozerox\"===v||\"tonextx\"===v&&(p||\"h\"===d))?y.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==v&&\"tozeroy\"!==v&&(l.hasMarkers(e)||l.hasText(e))||(y.padded=!1,y.ppad=0),b&&(\"tozeroy\"===v||\"tonexty\"===v&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==v&&\"tozerox\"!==v||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,y)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var c=s.makeCalcdata(t.marker,\"size\"),u=new Array(e),f=0;f<e;f++)u[f]=r(c[f]);return u}return r(n.size)}}function d(t,e){var r=m(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function m(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var a=e._scatterStackOpts[r._id+n._id][i],o=\"v\"===a.orientation?n:r;return\"linear\"===o.type||\"log\"===o.type?a:void 0}}e.exports={calc:function(t,e){var r,l,m,v,y,x,b=t._fullLayout,_=a.getFromId(t,e.xaxis||\"x\"),w=a.getFromId(t,e.yaxis||\"y\"),T=_.makeCalcdata(e,\"x\"),k=w.makeCalcdata(e,\"y\"),M=o(e,_,\"x\",T),A=o(e,w,\"y\",k),S=e._length,E=new Array(S),L=e.ids,C=g(e,b,_,w),P=!1;d(b,e);var I,O=\"x\",z=\"y\";C?(i.pushUnique(C.traceIndices,e._expandedIndex),(r=\"v\"===C.orientation)?(z=\"s\",I=\"x\"):(O=\"s\",I=\"y\"),y=\"interpolate\"===C.stackgaps):h(t,e,_,w,M,A,p(e,S));var D=!!e.xperiodalignment,R=!!e.yperiodalignment;for(l=0;l<S;l++){var F=E[l]={},B=n(M[l]),N=n(A[l]);B&&N?(F[O]=M[l],F[z]=A[l],D&&(F.orig_x=T[l]),R&&(F.orig_y=k[l])):C&&(r?B:N)?(F[I]=r?M[l]:A[l],F.gap=!0,y?(F.s=s,P=!0):F.s=0):F[O]=F[z]=s,L&&(F.id=String(L[l]))}if(u(E,e),c(t,e),f(E,e),C){for(l=0;l<E.length;)E[l][I]===s?E.splice(l,1):l++;if(i.sort(E,(function(t,e){return t[I]-e[I]||t.i-e.i})),P){for(l=0;l<E.length-1&&E[l].gap;)l++;for((x=E[l].s)||(x=E[l].s=0),m=0;m<l;m++)E[m].s=x;for(v=E.length-1;v>l&&E[v].gap;)v--;for(x=E[v].s,m=E.length-1;m>v;m--)E[m].s=x;for(;l<v;)if(E[++l].gap){for(m=l+1;E[m].gap;)m++;for(var j=E[l-1][I],U=E[l-1].s,V=(E[m].s-U)/(E[m][I]-j);l<m;)E[l].s=U+(E[l][I]-j)*V,l++}}}return E},calcMarkerSize:p,calcAxisExpansion:h,setFirstScatter:d,getStackOpts:g}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/axes\":849,\"./arrays_to_calcdata\":1213,\"./calc_selection\":1216,\"./colorscale_calc\":1217,\"./subtypes\":1239,\"fast-isnumeric\":245}],1216:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&&n.tagSelected(t,e)}},{\"../../lib\":799}],1217:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),a=t(\"./subtypes\");e.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},{\"../../components/colorscale/calc\":670,\"../../components/colorscale/helpers\":673,\"./subtypes\":1239}],1218:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1219:[function(t,e,r){\"use strict\";var n=t(\"./calc\");function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}e.exports=function(t,e){var r=e.xaxis,a=e.yaxis,o=r._id+a._id,s=t._fullLayout._scatterStackOpts[o];if(s){var l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T=t.calcdata;for(var k in s){var M=(v=s[k]).traceIndices;if(M.length){for(y=\"interpolate\"===v.stackgaps,x=v.groupnorm,\"v\"===v.orientation?(b=\"x\",_=\"y\"):(b=\"y\",_=\"x\"),w=new Array(M.length),l=0;l<w.length;l++)w[l]=!1;p=T[M[0]];var A=new Array(p.length);for(l=0;l<p.length;l++)A[l]=p[l][b];for(l=1;l<M.length;l++){for(h=T[M[l]],c=u=0;c<h.length;c++){for(d=h[c][b];d>A[u]&&u<A.length;u++)i(h,c,A[u],l,w,y,b),c++;if(d!==A[u]){for(f=0;f<l;f++)i(T[M[f]],u,d,f,w,y,b);A.splice(u,0,d)}u++}for(;u<A.length;u++)i(h,c,A[u],l,w,y,b),c++}var S=A.length;for(c=0;c<p.length;c++){for(m=p[c][_]=p[c].s,l=1;l<M.length;l++)(h=T[M[l]])[0].trace._rawLength=h[0].trace._length,h[0].trace._length=S,m+=h[c].s,h[c][_]=m;if(x)for(g=(\"fraction\"===x?m:m/100)||1,l=0;l<M.length;l++){var E=T[M[l]][c];E[_]/=g,E.sNorm=E.s/g}}for(l=0;l<M.length;l++){var L=(h=T[M[l]])[0].trace,C=n.calcMarkerSize(L,L._rawLength),P=Array.isArray(C);if(C&&w[l]||P){var I=C;for(C=new Array(S),c=0;c<S;c++)C[c]=h[c].gap?0:P?I[h[c].i]:I}var O=new Array(S),z=new Array(S);for(c=0;c<S;c++)O[c]=h[c].x,z[c]=h[c].y;n.calcAxisExpansion(t,L,r,a,O,z,C),h[0].t.orientation=v.orientation}}}}}},{\"./calc\":1215}],1220:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=0;e<t.length;e++){var r=t[e];if(\"scatter\"===r.type){var n=r.fill;if(\"none\"!==n&&\"toself\"!==n&&(r.opacity=void 0,\"tonexty\"===n||\"tonextx\"===n))for(var i=e-1;i>=0;i--){var a=t[i];if(\"scatter\"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],1221:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"./constants\"),s=t(\"./subtypes\"),l=t(\"./xy_defaults\"),c=t(\"./period_defaults\"),u=t(\"./stack_defaults\"),f=t(\"./marker_defaults\"),h=t(\"./line_defaults\"),p=t(\"./line_shape_defaults\"),d=t(\"./text_defaults\"),m=t(\"./fillcolor_defaults\");e.exports=function(t,e,r,g){function v(r,i){return n.coerce(t,e,a,r,i)}var y=l(t,e,g,v);if(y||(e.visible=!1),e.visible){c(t,e,g,v),v(\"xhoverformat\"),v(\"yhoverformat\");var x=u(t,e,g,v),b=!x&&y<o.PTS_LINESONLY?\"lines+markers\":\"lines\";v(\"text\"),v(\"hovertext\"),v(\"mode\",b),s.hasLines(e)&&(h(t,e,r,g,v),p(t,e,v),v(\"connectgaps\"),v(\"line.simplify\")),s.hasMarkers(e)&&f(t,e,r,g,v,{gradient:!0}),s.hasText(e)&&(v(\"texttemplate\"),d(t,e,g,v));var _=[];(s.hasMarkers(e)||s.hasText(e))&&(v(\"cliponaxis\"),v(\"marker.maxdisplayed\"),_.push(\"points\")),v(\"fill\",x?x.fillDflt:\"none\"),\"none\"!==e.fill&&(m(t,e,r,v),s.hasLines(e)||p(t,e,v));var w=(e.line||{}).color,T=(e.marker||{}).color;\"tonext\"!==e.fill&&\"toself\"!==e.fill||_.push(\"fills\"),v(\"hoveron\",_.join(\"+\")||\"points\"),\"fills\"!==e.hoveron&&v(\"hovertemplate\");var k=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");k(t,e,w||T||r,{axis:\"y\"}),k(t,e,w||T||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,v)}}},{\"../../lib\":799,\"../../registry\":927,\"./attributes\":1214,\"./constants\":1218,\"./fillcolor_defaults\":1222,\"./line_defaults\":1227,\"./line_shape_defaults\":1229,\"./marker_defaults\":1233,\"./period_defaults\":1234,\"./stack_defaults\":1237,\"./subtypes\":1239,\"./text_defaults\":1240,\"./xy_defaults\":1241}],1222:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t,e,r,a){var o=!1;if(e.marker){var s=e.marker.color,l=(e.marker.line||{}).color;s&&!i(s)?o=s:l&&!i(l)&&(o=l)}a(\"fillcolor\",n.addOpacity((e.line||{}).color||o||r,.5))}},{\"../../components/color\":662,\"../../lib\":799}],1223:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a={_fullLayout:r},o=n.getFromTrace(a,e,\"x\"),s=n.getFromTrace(a,e,\"y\");return i.xLabel=n.tickText(o,o.c2l(t.x),!0).text,i.yLabel=n.tickText(s,s.c2l(t.y),!0).text,i}},{\"../../plots/cartesian/axes\":849}],1224:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./subtypes\");e.exports=function(t,e){var r,a;if(\"lines\"===t.mode)return(r=t.line.color)&&n.opacity(r)?r:t.fillcolor;if(\"none\"===t.mode)return t.fill?t.fillcolor:\"\";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return(a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:\"\")?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color)&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor}},{\"../../components/color\":662,\"./subtypes\":1239}],1225:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/fx\"),a=t(\"../../registry\"),o=t(\"./get_trace_color\"),s=t(\"../../components/color\"),l=n.fillText;e.exports=function(t,e,r,c){var u=t.cd,f=u[0].trace,h=t.xa,p=t.ya,d=h.c2p(e),m=p.c2p(r),g=[d,m],v=f.hoveron||\"\",y=-1!==f.mode.indexOf(\"markers\")?3:.5;if(-1!==v.indexOf(\"points\")){var x=function(t){var e=Math.max(y,t.mrc||0),r=h.c2p(t.x)-d,n=p.c2p(t.y)-m;return Math.max(Math.sqrt(r*r+n*n)-e,1-y/e)},b=i.getDistanceFunction(c,(function(t){var e=Math.max(3,t.mrc||0),r=1-1/e,n=Math.abs(h.c2p(t.x)-d);return void 0!==t.orig_x&&(n+=h.c2p(t.orig_x)-h.c2p(t.x)),n<e?r*n/e:n-e+r}),(function(t){var e=Math.max(3,t.mrc||0),r=1-1/e,n=Math.abs(p.c2p(t.y)-m);return void 0!==t.orig_y&&(n+=p.c2p(t.orig_y)-p.c2p(t.y)),n<e?r*n/e:n-e+r}),x);if(i.getClosest(u,b,t),!1!==t.index){var _=u[t.index],w=h.c2p(_.x,!0),T=p.c2p(_.y,!0),k=_.mrc||1;t.index=_.i;var M=u[0].t.orientation,A=M&&(_.sNorm||_.s),S=\"h\"===M?A:void 0!==_.orig_x?_.orig_x:_.x,E=\"v\"===M?A:void 0!==_.orig_y?_.orig_y:_.y;return n.extendFlat(t,{color:o(f,_),x0:w-k,x1:w+k,xLabelVal:S,y0:T-k,y1:T+k,yLabelVal:E,spikeDistance:x(_),hovertemplate:f.hovertemplate}),l(_,f,t),a.getComponentMethod(\"errorbars\",\"hoverInfo\")(_,f,t),[t]}}if(-1!==v.indexOf(\"fills\")&&f._polygons){var L,C,P,I,O,z,D,R,F,B=f._polygons,N=[],j=!1,U=1/0,V=-1/0,q=1/0,H=-1/0;for(L=0;L<B.length;L++)(P=B[L]).contains(g)&&(j=!j,N.push(P),q=Math.min(q,P.ymin),H=Math.max(H,P.ymax));if(j){var G=((q=Math.max(q,0))+(H=Math.min(H,p._length)))/2;for(L=0;L<N.length;L++)for(I=N[L].pts,C=1;C<I.length;C++)(R=I[C-1][1])>G!=(F=I[C][1])>=G&&(z=I[C-1][0],D=I[C][0],F-R&&(O=z+(D-z)*(G-R)/(F-R),U=Math.min(U,O),V=Math.max(V,O)));U=Math.max(U,0),V=Math.min(V,h._length);var Y=s.defaultLine;return s.opacity(f.fillcolor)?Y=f.fillcolor:s.opacity((f.line||{}).color)&&(Y=f.line.color),n.extendFlat(t,{distance:t.maxHoverDistance,x0:U,x1:V,y0:G,y1:G,color:Y,hovertemplate:!1}),delete t.index,f.text&&!Array.isArray(f.text)?t.text=String(f.text):t.text=f.name,[t]}}}},{\"../../components/color\":662,\"../../components/fx\":702,\"../../lib\":799,\"../../registry\":927,\"./get_trace_color\":1224}],1226:[function(t,e,r){\"use strict\";var n=t(\"./subtypes\");e.exports={hasLines:n.hasLines,hasMarkers:n.hasMarkers,hasText:n.hasText,isBubble:n.isBubble,attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"./cross_trace_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./cross_trace_calc\"),arraysToCalcdata:t(\"./arrays_to_calcdata\"),plot:t(\"./plot\"),colorbar:t(\"./marker_colorbar\"),formatLabels:t(\"./format_labels\"),style:t(\"./style\").style,styleOnSelect:t(\"./style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"./select\"),animatable:!0,moduleType:\"trace\",name:\"scatter\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":863,\"./arrays_to_calcdata\":1213,\"./attributes\":1214,\"./calc\":1215,\"./cross_trace_calc\":1219,\"./cross_trace_defaults\":1220,\"./defaults\":1221,\"./format_labels\":1223,\"./hover\":1225,\"./marker_colorbar\":1232,\"./plot\":1235,\"./select\":1236,\"./style\":1238,\"./subtypes\":1239}],1227:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\");e.exports=function(t,e,r,o,s,l){var c=(t.marker||{}).color;(s(\"line.color\",r),i(t,\"line\"))?a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}):s(\"line.color\",!n(c)&&c||r);s(\"line.width\"),(l||{}).noDash||s(\"line.dash\")}},{\"../../components/colorscale/defaults\":672,\"../../components/colorscale/helpers\":673,\"../../lib\":799}],1228:[function(t,e,r){\"use strict\";var n=t(\"../../constants/numerical\"),i=n.BADNUM,a=n.LOG_CLIP,o=a+.5,s=a-.5,l=t(\"../../lib\"),c=l.segmentsIntersect,u=l.constrain,f=t(\"./constants\");e.exports=function(t,e){var r,n,a,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S=e.xaxis,E=e.yaxis,L=\"log\"===S.type,C=\"log\"===E.type,P=S._length,I=E._length,O=e.connectGaps,z=e.baseTolerance,D=e.shape,R=\"linear\"===D,F=e.fill&&\"none\"!==e.fill,B=[],N=f.minTolerance,j=t.length,U=new Array(j),V=0;function q(r){var n=t[r];if(!n)return!1;var a=e.linearized?S.l2p(n.x):S.c2p(n.x),l=e.linearized?E.l2p(n.y):E.c2p(n.y);if(a===i){if(L&&(a=S.c2p(n.x,!0)),a===i)return!1;C&&l===i&&(a*=Math.abs(S._m*I*(S._m>0?o:s)/(E._m*P*(E._m>0?o:s)))),a*=1e3}if(l===i){if(C&&(l=E.c2p(n.y,!0)),l===i)return!1;l*=1e3}return[a,l]}function H(t,e,r,n){var i=r-t,a=n-e,o=.5-t,s=.5-e,l=i*i+a*a,c=i*o+a*s;if(c>0&&c<l){var u=o*a-s*i;if(u*u<l)return!0}}function G(t,e){var r=t[0]/P,n=t[1]/I,i=Math.max(0,-r,r-1,-n,n-1);return i&&void 0!==M&&H(r,n,M,A)&&(i=0),i&&e&&H(r,n,e[0]/P,e[1]/I)&&(i=0),(1+f.toleranceGrowth*i)*z}function Y(t,e){var r=t[0]-e[0],n=t[1]-e[1];return Math.sqrt(r*r+n*n)}var W,X,Z,J,K,Q,$,tt=f.maxScreensAway,et=-P*tt,rt=P*(1+tt),nt=-I*tt,it=I*(1+tt),at=[[et,nt,rt,nt],[rt,nt,rt,it],[rt,it,et,it],[et,it,et,nt]];function ot(t){if(t[0]<et||t[0]>rt||t[1]<nt||t[1]>it)return[u(t[0],et,rt),u(t[1],nt,it)]}function st(t,e){return t[0]===e[0]&&(t[0]===et||t[0]===rt)||(t[1]===e[1]&&(t[1]===nt||t[1]===it)||void 0)}function lt(t,e,r){return function(n,i){var a=ot(n),o=ot(i),s=[];if(a&&o&&st(a,o))return s;a&&s.push(a),o&&s.push(o);var c=2*l.constrain((n[t]+i[t])/2,e,r)-((a||n)[t]+(o||i)[t]);c&&((a&&o?c>0==a[t]>o[t]?a:o:a||o)[t]+=c);return s}}function ct(t){var e=t[0],r=t[1],n=e===U[V-1][0],i=r===U[V-1][1];if(!n||!i)if(V>1){var a=e===U[V-2][0],o=r===U[V-2][1];n&&(e===et||e===rt)&&a?o?V--:U[V-1]=t:i&&(r===nt||r===it)&&o?a?V--:U[V-1]=t:U[V++]=t}else U[V++]=t}function ut(t){U[V-1][0]!==t[0]&&U[V-1][1]!==t[1]&&ct([Z,J]),ct(t),K=null,Z=J=0}function ft(t){if(M=t[0]/P,A=t[1]/I,W=t[0]<et?et:t[0]>rt?rt:0,X=t[1]<nt?nt:t[1]>it?it:0,W||X){if(V)if(K){var e=$(K,t);e.length>1&&(ut(e[0]),U[V++]=e[1])}else Q=$(U[V-1],t)[0],U[V++]=Q;else U[V++]=[W||t[0],X||t[1]];var r=U[V-1];W&&X&&(r[0]!==W||r[1]!==X)?(K&&(Z!==W&&J!==X?ct(Z&&J?(n=K,a=(i=t)[0]-n[0],o=(i[1]-n[1])/a,(n[1]*i[0]-i[1]*n[0])/a>0?[o>0?et:rt,it]:[o>0?rt:et,nt]):[Z||W,J||X]):Z&&J&&ct([Z,J])),ct([W,X])):Z-W&&J-X&&ct([W||Z,X||J]),K=t,Z=W,J=X}else K&&ut($(K,t)[0]),U[V++]=t;var n,i,a,o}for(\"linear\"===D||\"spline\"===D?$=function(t,e){for(var r=[],n=0,i=0;i<4;i++){var a=at[i],o=c(t[0],t[1],e[0],e[1],a[0],a[1],a[2],a[3]);o&&(!n||Math.abs(o.x-r[0][0])>1||Math.abs(o.y-r[0][1])>1)&&(o=[o.x,o.y],n&&Y(o,t)<Y(r[0],t)?r.unshift(o):r.push(o),n++)}return r}:\"hv\"===D||\"vh\"===D?$=function(t,e){var r=[],n=ot(t),i=ot(e);return n&&i&&st(n,i)||(n&&r.push(n),i&&r.push(i)),r}:\"hvh\"===D?$=lt(0,et,rt):\"vhv\"===D&&($=lt(1,nt,it)),r=0;r<j;r++)if(n=q(r)){for(V=0,K=null,ft(n),r++;r<j;r++){if(!(h=q(r))){if(O)continue;break}if(R&&e.simplify){var ht=q(r+1);if(y=Y(h,n),F&&(0===V||V===j-1)||!(y<G(h,ht)*N)){for(g=[(h[0]-n[0])/y,(h[1]-n[1])/y],p=n,x=y,b=w=T=0,m=!1,a=h,r++;r<t.length;r++){if(d=ht,ht=q(r+1),!d){if(O)continue;break}if(k=(v=[d[0]-n[0],d[1]-n[1]])[0]*g[1]-v[1]*g[0],w=Math.min(w,k),(T=Math.max(T,k))-w>G(d,ht))break;a=d,(_=v[0]*g[0]+v[1]*g[1])>x?(x=_,h=d,m=!1):_<b&&(b=_,p=d,m=!0)}if(m?(ft(h),a!==p&&ft(p)):(p!==n&&ft(p),a!==h&&ft(h)),ft(a),r>=t.length||!d)break;ft(d),n=d}}else ft(h)}K&&ct([Z||K[0],J||K[1]]),B.push(U.slice(0,V))}return B}},{\"../../constants/numerical\":775,\"../../lib\":799,\"./constants\":1218}],1229:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){\"spline\"===r(\"line.shape\")&&r(\"line.smoothing\")}},{}],1230:[function(t,e,r){\"use strict\";var n={tonextx:1,tonexty:1,tonext:1};e.exports=function(t,e,r){var i,a,o,s,l,c={},u=!1,f=-1,h=0,p=-1;for(a=0;a<r.length;a++)(o=(i=r[a][0].trace).stackgroup||\"\")?o in c?l=c[o]:(l=c[o]=h,h++):i.fill in n&&p>=0?l=p:(l=p=h,h++),l<f&&(u=!0),i._groupIndex=f=l;var d=r.slice();u&&d.sort((function(t,e){var r=t[0].trace,n=e[0].trace;return r._groupIndex-n._groupIndex||r.index-n.index}));var m={};for(a=0;a<d.length;a++)o=(i=d[a][0].trace).stackgroup||\"\",!0===i.visible?(i._nexttrace=null,i.fill in n&&(s=m[o],i._prevtrace=s||null,s&&(s._nexttrace=i)),i._ownfill=i.fill&&(\"tozero\"===i.fill.substr(0,6)||\"toself\"===i.fill||\"to\"===i.fill.substr(0,2)&&!i._prevtrace),m[o]=i):i._prevtrace=i._nexttrace=i._ownfill=null;return d}},{}],1231:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\");e.exports=function(t){var e=t.marker,r=e.sizeref||1,i=e.sizemin||0,a=\"area\"===e.sizemode?function(t){return Math.sqrt(t/r)}:function(t){return t/r};return function(t){var e=a(t/2);return n(e)&&e>0?Math.max(e,i):0}}},{\"fast-isnumeric\":245}],1232:[function(t,e,r){\"use strict\";e.exports={container:\"marker\",min:\"cmin\",max:\"cmax\"}},{}],1233:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"./subtypes\");e.exports=function(t,e,r,s,l,c){var u=o.isBubble(t),f=(t.line||{}).color;(c=c||{},f&&(r=f),l(\"marker.symbol\"),l(\"marker.opacity\",u?.7:1),l(\"marker.size\"),l(\"marker.color\",r),i(t,\"marker\")&&a(t,e,s,l,{prefix:\"marker.\",cLetter:\"c\"}),c.noSelect||(l(\"selected.marker.color\"),l(\"unselected.marker.color\"),l(\"selected.marker.size\"),l(\"unselected.marker.size\")),c.noLine||(l(\"marker.line.color\",f&&!Array.isArray(f)&&e.marker.color!==f?f:u?n.background:n.defaultLine),i(t,\"marker.line\")&&a(t,e,s,l,{prefix:\"marker.line.\",cLetter:\"c\"}),l(\"marker.line.width\",u?1:0)),u&&(l(\"marker.sizeref\"),l(\"marker.sizemin\"),l(\"marker.sizemode\")),c.gradient)&&(\"none\"!==l(\"marker.gradient.type\")&&l(\"marker.gradient.color\"))}},{\"../../components/color\":662,\"../../components/colorscale/defaults\":672,\"../../components/colorscale/helpers\":673,\"./subtypes\":1239}],1234:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").dateTick0,i=t(\"../../constants/numerical\").ONEWEEK;function a(t,e){return n(e,t%i==0?1:0)}e.exports=function(t,e,r,n,i){if(i||(i={x:!0,y:!0}),i.x){var o=n(\"xperiod\");o&&(n(\"xperiod0\",a(o,e.xcalendar)),n(\"xperiodalignment\"))}if(i.y){var s=n(\"yperiod\");s&&(n(\"yperiod0\",a(s,e.ycalendar)),n(\"yperiodalignment\"))}}},{\"../../constants/numerical\":775,\"../../lib\":799}],1235:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=a.ensureSingle,s=a.identity,l=t(\"../../components/drawing\"),c=t(\"./subtypes\"),u=t(\"./line_points\"),f=t(\"./link_traces\"),h=t(\"../../lib/polygon\").tester;function p(t,e,r,f,p,d,m){var g;!function(t,e,r,i,o){var s=r.xaxis,l=r.yaxis,u=n.extent(a.simpleMap(s.range,s.r2c)),f=n.extent(a.simpleMap(l.range,l.r2c)),h=i[0].trace;if(!c.hasMarkers(h))return;var p=h.marker.maxdisplayed;if(0===p)return;var d=i.filter((function(t){return t.x>=u[0]&&t.x<=u[1]&&t.y>=f[0]&&t.y<=f[1]})),m=Math.ceil(d.length/p),g=0;o.forEach((function(t,r){var n=t[0].trace;c.hasMarkers(n)&&n.marker.maxdisplayed>0&&r<e&&g++}));var v=Math.round(g*m/3+Math.floor(g/3)*m/7.1);i.forEach((function(t){delete t.vis})),d.forEach((function(t,e){0===Math.round((e+v)%m)&&(t.vis=!0)}))}(0,e,r,f,p);var v=!!m&&m.duration>0;function y(t){return v?t.transition():t}var x=r.xaxis,b=r.yaxis,_=f[0].trace,w=_.line,T=n.select(d),k=o(T,\"g\",\"errorbars\"),M=o(T,\"g\",\"lines\"),A=o(T,\"g\",\"points\"),S=o(T,\"g\",\"text\");if(i.getComponentMethod(\"errorbars\",\"plot\")(t,k,r,m),!0===_.visible){var E,L;y(T).style(\"opacity\",_.opacity);var C=_.fill.charAt(_.fill.length-1);\"x\"!==C&&\"y\"!==C&&(C=\"\"),f[0][r.isRangePlot?\"nodeRangePlot3\":\"node3\"]=T;var P,I,O=\"\",z=[],D=_._prevtrace;D&&(O=D._prevRevpath||\"\",L=D._nextFill,z=D._polygons);var R,F,B,N,j,U,V,q=\"\",H=\"\",G=[],Y=a.noop;if(E=_._ownFill,c.hasLines(_)||\"none\"!==_.fill){for(L&&L.datum(f),-1!==[\"hv\",\"vh\",\"hvh\",\"vhv\"].indexOf(w.shape)?(R=l.steps(w.shape),F=l.steps(w.shape.split(\"\").reverse().join(\"\"))):R=F=\"spline\"===w.shape?function(t){var e=t[t.length-1];return t.length>1&&t[0][0]===e[0]&&t[0][1]===e[1]?l.smoothclosed(t.slice(1),w.smoothing):l.smoothopen(t,w.smoothing)}:function(t){return\"M\"+t.join(\"L\")},B=function(t){return F(t.reverse())},G=u(f,{xaxis:x,yaxis:b,connectGaps:_.connectgaps,baseTolerance:Math.max(w.width||1,3)/4,shape:w.shape,simplify:w.simplify,fill:_.fill}),V=_._polygons=new Array(G.length),g=0;g<G.length;g++)_._polygons[g]=h(G[g]);G.length&&(N=G[0][0],U=(j=G[G.length-1])[j.length-1]),Y=function(t){return function(e){if(P=R(e),I=B(e),q?C?(q+=\"L\"+P.substr(1),H=I+\"L\"+H.substr(1)):(q+=\"Z\"+P,H=I+\"Z\"+H):(q=P,H=I),c.hasLines(_)&&e.length>1){var r=n.select(this);if(r.datum(f),t)y(r.style(\"opacity\",0).attr(\"d\",P).call(l.lineGroupStyle)).style(\"opacity\",1);else{var i=y(r);i.attr(\"d\",P),l.singleLineStyle(f,i)}}}}}var W=M.selectAll(\".js-line\").data(G);y(W.exit()).style(\"opacity\",0).remove(),W.each(Y(!1)),W.enter().append(\"path\").classed(\"js-line\",!0).style(\"vector-effect\",\"non-scaling-stroke\").call(l.lineGroupStyle).each(Y(!0)),l.setClipUrl(W,r.layerClipId,t),G.length?(E?(E.datum(f),N&&U&&(C?(\"y\"===C?N[1]=U[1]=b.c2p(0,!0):\"x\"===C&&(N[0]=U[0]=x.c2p(0,!0)),y(E).attr(\"d\",\"M\"+U+\"L\"+N+\"L\"+q.substr(1)).call(l.singleFillStyle)):y(E).attr(\"d\",q+\"Z\").call(l.singleFillStyle))):L&&(\"tonext\"===_.fill.substr(0,6)&&q&&O?(\"tonext\"===_.fill?y(L).attr(\"d\",q+\"Z\"+O+\"Z\").call(l.singleFillStyle):y(L).attr(\"d\",q+\"L\"+O.substr(1)+\"Z\").call(l.singleFillStyle),_._polygons=_._polygons.concat(z)):(Z(L),_._polygons=null)),_._prevRevpath=H,_._prevPolygons=V):(E?Z(E):L&&Z(L),_._polygons=_._prevRevpath=_._prevPolygons=null),A.datum(f),S.datum(f),function(e,i,a){var o,u=a[0].trace,f=c.hasMarkers(u),h=c.hasText(u),p=tt(u),d=et,m=et;if(f||h){var g=s,_=u.stackgroup,w=_&&\"infer zero\"===t._fullLayout._scatterStackOpts[x._id+b._id][_].stackgaps;u.marker.maxdisplayed||u._needsCull?g=w?K:J:_&&!w&&(g=Q),f&&(d=g),h&&(m=g)}var T,k=(o=e.selectAll(\"path.point\").data(d,p)).enter().append(\"path\").classed(\"point\",!0);v&&k.call(l.pointStyle,u,t).call(l.translatePoints,x,b).style(\"opacity\",0).transition().style(\"opacity\",1),o.order(),f&&(T=l.makePointStyleFns(u)),o.each((function(e){var i=n.select(this),a=y(i);l.translatePoint(e,a,x,b)?(l.singlePointStyle(e,a,u,T,t),r.layerClipId&&l.hideOutsideRangePoint(e,a,x,b,u.xcalendar,u.ycalendar),u.customdata&&i.classed(\"plotly-customdata\",null!==e.data&&void 0!==e.data)):a.remove()})),v?o.exit().transition().style(\"opacity\",0).remove():o.exit().remove(),(o=i.selectAll(\"g\").data(m,p)).enter().append(\"g\").classed(\"textpoint\",!0).append(\"text\"),o.order(),o.each((function(t){var e=n.select(this),i=y(e.select(\"text\"));l.translatePoint(t,i,x,b)?r.layerClipId&&l.hideOutsideRangePoint(t,e,x,b,u.xcalendar,u.ycalendar):e.remove()})),o.selectAll(\"text\").call(l.textPointStyle,u,t).each((function(t){var e=x.c2p(t.x),r=b.c2p(t.y);n.select(this).selectAll(\"tspan.line\").each((function(){y(n.select(this)).attr({x:e,y:r})}))})),o.exit().remove()}(A,S,f);var X=!1===_.cliponaxis?null:r.layerClipId;l.setClipUrl(A,X,t),l.setClipUrl(S,X,t)}function Z(t){y(t).attr(\"d\",\"M0,0Z\")}function J(t){return t.filter((function(t){return!t.gap&&t.vis}))}function K(t){return t.filter((function(t){return t.vis}))}function Q(t){return t.filter((function(t){return!t.gap}))}function $(t){return t.id}function tt(t){if(t.ids)return $}function et(){return!1}}e.exports=function(t,e,r,i,a,c){var u,h,d=!a,m=!!a&&a.duration>0,g=f(t,e,r);((u=i.selectAll(\"g.trace\").data(g,(function(t){return t[0].trace.uid}))).enter().append(\"g\").attr(\"class\",(function(t){return\"trace scatter trace\"+t[0].trace.uid})).style(\"stroke-miterlimit\",2),u.order(),function(t,e,r){e.each((function(e){var i=o(n.select(this),\"g\",\"fills\");l.setClipUrl(i,r.layerClipId,t);var a=e[0].trace,c=[];a._ownfill&&c.push(\"_ownFill\"),a._nexttrace&&c.push(\"_nextFill\");var u=i.selectAll(\"g\").data(c,s);u.enter().append(\"g\"),u.exit().each((function(t){a[t]=null})).remove(),u.order().each((function(t){a[t]=o(n.select(this),\"path\",\"js-fill\")}))}))}(t,u,e),m)?(c&&(h=c()),n.transition().duration(a.duration).ease(a.easing).each(\"end\",(function(){h&&h()})).each(\"interrupt\",(function(){h&&h()})).each((function(){i.selectAll(\"g.trace\").each((function(r,n){p(t,n,e,r,g,this,a)}))}))):u.each((function(r,n){p(t,n,e,r,g,this,a)}));d&&u.exit().remove(),i.selectAll(\"path:not([d])\").remove()}},{\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/polygon\":811,\"../../registry\":927,\"./line_points\":1228,\"./link_traces\":1230,\"./subtypes\":1239,\"@plotly/d3\":58}],1236:[function(t,e,r){\"use strict\";var n=t(\"./subtypes\");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[],f=s[0].trace;if(!n.hasMarkers(f)&&!n.hasText(f))return[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)i=s[r],a=l.c2p(i.x),o=c.c2p(i.y),null!==i.i&&e.contains([a,o],!1,r,t)?(u.push({pointNumber:i.i,x:l.c2d(i.x),y:c.c2d(i.y)}),i.selected=1):i.selected=0;return u}},{\"./subtypes\":1239}],1237:[function(t,e,r){\"use strict\";var n=[\"orientation\",\"groupnorm\",\"stackgaps\"];e.exports=function(t,e,r,i){var a=r._scatterStackOpts,o=i(\"stackgroup\");if(o){var s=e.xaxis+e.yaxis,l=a[s];l||(l=a[s]={});var c=l[o],u=!1;c?c.traces.push(e):(c=l[o]={traceIndices:[],traces:[e]},u=!0);for(var f={orientation:e.x&&!e.y?\"h\":\"v\"},h=0;h<n.length;h++){var p=n[h],d=p+\"Found\";if(!c[d]){var m=void 0!==t[p],g=\"orientation\"===p;if((m||u)&&(c[p]=i(p,f[p]),g&&(c.fillDflt=\"h\"===c[p]?\"tonextx\":\"tonexty\"),m&&(c[d]=!0,!u&&(delete c.traces[0][p],g))))for(var v=0;v<c.traces.length-1;v++){var y=c.traces[v];y._input.fill!==y.fill&&(y.fill=c.fillDflt)}}}return c}}},{}],1238:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../registry\");function o(t,e,r){i.pointStyle(t.selectAll(\"path.point\"),e,r)}function s(t,e,r){i.textPointStyle(t.selectAll(\"text\"),e,r)}e.exports={style:function(t){var e=n.select(t).selectAll(\"g.trace.scatter\");e.style(\"opacity\",(function(t){return t[0].trace.opacity})),e.selectAll(\"g.points\").each((function(e){o(n.select(this),e.trace||e[0].trace,t)})),e.selectAll(\"g.text\").each((function(e){s(n.select(this),e.trace||e[0].trace,t)})),e.selectAll(\"g.trace path.js-line\").call(i.lineGroupStyle),e.selectAll(\"g.trace path.js-fill\").call(i.fillGroupStyle),a.getComponentMethod(\"errorbars\",\"style\")(e)},stylePoints:o,styleText:s,styleOnSelect:function(t,e,r){var n=e[0].trace;n.selectedpoints?(i.selectedPointStyle(r.selectAll(\"path.point\"),n),i.selectedTextStyle(r.selectAll(\"text\"),n)):(o(r,n,t),s(r,n,t))}}},{\"../../components/drawing\":684,\"../../registry\":927,\"@plotly/d3\":58}],1239:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports={hasLines:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf(\"lines\")},hasMarkers:function(t){return t.visible&&(t.mode&&-1!==t.mode.indexOf(\"markers\")||\"splom\"===t.type)},hasText:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf(\"text\")},isBubble:function(t){return n.isPlainObject(t.marker)&&n.isArrayOrTypedArray(t.marker.size)}}},{\"../../lib\":799}],1240:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e,r,i,a){a=a||{},i(\"textposition\"),n.coerceFont(i,\"textfont\",r.font),a.noSelect||(i(\"selected.textfont.color\"),i(\"unselected.textfont.color\"))}},{\"../../lib\":799}],1241:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");e.exports=function(t,e,r,a){var o,s=a(\"x\"),l=a(\"y\");if(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\"],r),s){var c=n.minRowLength(s);l?o=Math.min(c,n.minRowLength(l)):(o=c,a(\"y0\"),a(\"dy\"))}else{if(!l)return 0;o=n.minRowLength(l),a(\"x0\"),a(\"dx\")}return e._length=o,o}},{\"../../lib\":799,\"../../registry\":927}],1242:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../plots/attributes\"),c=t(\"../../constants/gl3d_dashes\"),u=t(\"../../constants/gl3d_markers\"),f=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,p=n.line,d=n.marker,m=d.line,g=f({width:p.width,dash:{valType:\"enumerated\",values:Object.keys(c),dflt:\"solid\"}},i(\"line\"));var v=e.exports=h({x:n.x,y:n.y,z:{valType:\"data_array\"},text:f({},n.text,{}),texttemplate:s({},{}),hovertext:f({},n.hovertext,{}),hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),mode:f({},n.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:{show:{valType:\"boolean\",dflt:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}},y:{show:{valType:\"boolean\",dflt:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}},z:{show:{valType:\"boolean\",dflt:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:g,marker:f({symbol:{valType:\"enumerated\",values:Object.keys(u),dflt:\"circle\",arrayOk:!0},size:f({},d.size,{dflt:8}),sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode,opacity:f({},d.opacity,{arrayOk:!1}),colorbar:d.colorbar,line:f({width:f({},m.width,{arrayOk:!1})},i(\"marker.line\"))},i(\"marker\")),textposition:f({},n.textposition,{dflt:\"top center\"}),textfont:{color:n.textfont.color,size:n.textfont.size,family:f({},n.textfont.family,{arrayOk:!1})},hoverinfo:f({},l.hoverinfo)},\"calc\",\"nested\");v.x.editType=v.y.editType=v.z.editType=\"calc+clearAxisTypes\"},{\"../../components/colorscale/attributes\":669,\"../../constants/gl3d_dashes\":772,\"../../constants/gl3d_markers\":773,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214}],1243:[function(t,e,r){\"use strict\";var n=t(\"../scatter/arrays_to_calcdata\"),i=t(\"../scatter/colorscale_calc\");e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(r,e),i(t,e),r}},{\"../scatter/arrays_to_calcdata\":1213,\"../scatter/colorscale_calc\":1217}],1244:[function(t,e,r){\"use strict\";var n=t(\"../../registry\");function i(t,e,r,i){if(!e||!e.visible)return null;for(var a=n.getComponentMethod(\"errorbars\",\"makeComputeError\")(e),o=new Array(t.length),s=0;s<t.length;s++){var l=a(+t[s],s);if(\"log\"===i.type){var c=i.c2l(t[s]),u=t[s]-l[0],f=t[s]+l[1];if(o[s]=[(i.c2l(u,!0)-c)*r,(i.c2l(f,!0)-c)*r],u>0){var h=i.c2l(u);i._lowerLogErrorBound||(i._lowerLogErrorBound=h),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,h)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e<t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s<a;s++){for(var l=[[0,0,0],[0,0,0]],c=0;c<3;c++)if(n[c])for(var u=0;u<2;u++)l[u][c]=n[c][s][u];o[s]=l}return o}},{\"../../registry\":927}],1245:[function(t,e,r){\"use strict\";var n=t(\"gl-line3d\"),i=t(\"gl-scatter3d\"),a=t(\"gl-error3d\"),o=t(\"gl-mesh3d\"),s=t(\"delaunay-triangulate\"),l=t(\"../../lib\"),c=t(\"../../lib/str2rgbarray\"),u=t(\"../../lib/gl_format_color\").formatColor,f=t(\"../scatter/make_bubble_size_func\"),h=t(\"../../constants/gl3d_dashes\"),p=t(\"../../constants/gl3d_markers\"),d=t(\"../../plots/cartesian/axes\"),m=t(\"../../components/fx/helpers\").appendArrayPointValue,g=t(\"./calc_errors\");function v(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=\"\",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var y=v.prototype;function x(t){return null==t?0:t.indexOf(\"left\")>-1?-1:t.indexOf(\"right\")>-1?1:0}function b(t){return null==t?0:t.indexOf(\"top\")>-1?-1:t.indexOf(\"bottom\")>-1?1:0}function _(t,e){return e(4*t)}function w(t){return p[t]}function T(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o<e;o++)void 0===t[o]?a[o]=n:a[o]=r(t[o],i)}else a=r(t,l.identity);return a}function k(t,e){var r,n,i,a,o,s,h=[],p=t.fullSceneLayout,v=t.dataScale,y=p.xaxis,k=p.yaxis,M=p.zaxis,A=e.marker,S=e.line,E=e.x||[],L=e.y||[],C=e.z||[],P=E.length,I=e.xcalendar,O=e.ycalendar,z=e.zcalendar;for(o=0;o<P;o++)r=y.d2l(E[o],0,I)*v[0],n=k.d2l(L[o],0,O)*v[1],i=M.d2l(C[o],0,z)*v[2],h[o]=[r,n,i];if(Array.isArray(e.text))s=e.text;else if(void 0!==e.text)for(s=new Array(P),o=0;o<P;o++)s[o]=e.text;function D(t,e){var r=p[t];return d.tickText(r,r.d2l(e),!0).text}var R=e.texttemplate;if(R){var F=t.fullLayout._d3locale,B=Array.isArray(R),N=B?Math.min(R.length,P):P,j=B?function(t){return R[t]}:function(){return R};for(s=new Array(N),o=0;o<N;o++){var U={x:E[o],y:L[o],z:C[o]},V={xLabel:D(\"xaxis\",E[o]),yLabel:D(\"yaxis\",L[o]),zLabel:D(\"zaxis\",C[o])},q={};m(q,e,o);var H=e._meta||{};s[o]=l.texttemplateString(j(o),V,F,q,U,H)}}if(a={position:h,mode:e.mode,text:s},\"line\"in e&&(a.lineColor=u(S,1,P),a.lineWidth=S.width,a.lineDashes=S.dash),\"marker\"in e){var G=f(e);a.scatterColor=u(A,1,P),a.scatterSize=T(A.size,P,_,20,G),a.scatterMarker=T(A.symbol,P,w,\"\\u25cf\"),a.scatterLineWidth=A.line.width,a.scatterLineColor=u(A.line,1,P),a.scatterAngle=0}\"textposition\"in e&&(a.textOffset=function(t){var e=[0,0];if(Array.isArray(t))for(var r=0;r<t.length;r++)e[r]=[0,0],t[r]&&(e[r][0]=x(t[r]),e[r][1]=b(t[r]));else e[0]=x(t),e[1]=b(t);return e}(e.textposition),a.textColor=u(e.textfont,1,P),a.textSize=T(e.textfont.size,P,l.identity,12),a.textFont=e.textfont.family,a.textAngle=0);var Y=[\"x\",\"y\",\"z\"];for(a.project=[!1,!1,!1],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o<3;++o){var W=e.projection[Y[o]];(a.project[o]=W.show)&&(a.projectOpacity[o]=W.opacity,a.projectScale[o]=W.scale)}a.errorBounds=g(e,v,p);var X=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i<3;i++){var a=t[i];a&&!1!==a.copy_zstyle&&!1!==t[2].visible&&(a=t[2]),a&&a.visible&&(e[i]=a.width/2,r[i]=c(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=X.color,a.errorLineWidth=X.lineWidth,a.errorCapSize=X.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=c(e.surfacecolor),a}function M(t){if(l.isArrayOrTypedArray(t)){var e=t[0];return l.isArrayOrTypedArray(e)&&(t=e),\"rgb(\"+t.slice(0,3).map((function(t){return Math.round(255*t)}))+\")\"}return null}function A(t){return l.isArrayOrTypedArray(t)?4===t.length&&\"number\"==typeof t[0]?M(t):t.map(M):null}y.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel=\"\",this.textLabels&&(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&&(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},y.update=function(t){var e,r,l,c,u=this.scene.glplot.gl,f=h.solid;this.data=t;var p=k(this.scene,t);\"mode\"in p&&(this.mode=p.mode),\"lineDashes\"in p&&p.lineDashes in h&&(f=h[p.lineDashes]),this.color=A(p.scatterColor)||A(p.lineColor),this.dataPoints=p.position,e={gl:this.scene.glplot.gl,position:p.position,color:p.lineColor,lineWidth:p.lineWidth||1,dashes:f[0],dashScale:f[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf(\"lines\")?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var m=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var f=u[n],h=0;h<f.length;++h)f[h]=l[f[h]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);m.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(m):(m.gl=u,this.delaunayMesh=o(m),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new v(t,e.uid);return r.update(e),r}},{\"../../components/fx/helpers\":698,\"../../constants/gl3d_dashes\":772,\"../../constants/gl3d_markers\":773,\"../../lib\":799,\"../../lib/gl_format_color\":795,\"../../lib/str2rgbarray\":823,\"../../plots/cartesian/axes\":849,\"../scatter/make_bubble_size_func\":1231,\"./calc_errors\":1244,\"delaunay-triangulate\":176,\"gl-error3d\":269,\"gl-line3d\":277,\"gl-mesh3d\":311,\"gl-scatter3d\":330}],1246:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,f,u)){f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"xhoverformat\"),f(\"yhoverformat\"),f(\"zhoverformat\"),f(\"mode\"),a.hasLines(e)&&(f(\"connectgaps\"),s(t,e,r,u,f)),a.hasMarkers(e)&&o(t,e,r,u,f,{noSelect:!0}),a.hasText(e)&&(f(\"texttemplate\"),l(t,e,u,f,{noSelect:!0}));var h=(e.line||{}).color,p=(e.marker||{}).color;f(\"surfaceaxis\")>=0&&f(\"surfacecolor\",h||p);for(var d=[\"x\",\"y\",\"z\"],m=0;m<3;++m){var g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":799,\"../../registry\":927,\"../scatter/line_defaults\":1227,\"../scatter/marker_defaults\":1233,\"../scatter/subtypes\":1239,\"../scatter/text_defaults\":1240,\"./attributes\":1242}],1247:[function(t,e,r){\"use strict\";e.exports={plot:t(\"./convert\"),attributes:t(\"./attributes\"),markerSymbols:t(\"../../constants/gl3d_markers\"),supplyDefaults:t(\"./defaults\"),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:t(\"./calc\"),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../constants/gl3d_markers\":773,\"../../plots/gl3d\":892,\"./attributes\":1242,\"./calc\":1243,\"./convert\":1245,\"./defaults\":1246}],1248:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214}],1249:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../scatter/colorscale_calc\"),a=t(\"../scatter/arrays_to_calcdata\"),o=t(\"../scatter/calc_selection\"),s=t(\"../scatter/calc\").calcMarkerSize,l=t(\"../carpet/lookup_carpetid\");e.exports=function(t,e){var r=e._carpetTrace=l(t,e);if(r&&r.visible&&\"legendonly\"!==r.visible){var c;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var u,f,h=e._length,p=new Array(h),d=!1;for(c=0;c<h;c++)if(u=e.a[c],f=e.b[c],n(u)&&n(f)){var m=r.ab2xy(+u,+f,!0),g=r.isVisible(+u,+f);g||(d=!0),p[c]={x:m[0],y:m[1],a:u,b:f,vis:g}}else p[c]={x:!1,y:!1};return e._needsCull=d,p[0].carpet=r,p[0].trace=e,s(e,h),i(t,e),a(p,e),o(p,e),p}}},{\"../carpet/lookup_carpetid\":997,\"../scatter/arrays_to_calcdata\":1213,\"../scatter/calc\":1215,\"../scatter/calc_selection\":1216,\"../scatter/colorscale_calc\":1217,\"fast-isnumeric\":245}],1250:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":799,\"../scatter/constants\":1218,\"../scatter/fillcolor_defaults\":1222,\"../scatter/line_defaults\":1227,\"../scatter/line_shape_defaults\":1229,\"../scatter/marker_defaults\":1233,\"../scatter/subtypes\":1239,\"../scatter/text_defaults\":1240,\"./attributes\":1248}],1251:[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}},{}],1252:[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}},{}],1253:[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\":799,\"../scatter/hover\":1225}],1254:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":863,\"../scatter/marker_colorbar\":1232,\"../scatter/select\":1236,\"../scatter/style\":1238,\"./attributes\":1248,\"./calc\":1249,\"./defaults\":1250,\"./event_data\":1251,\"./format_labels\":1252,\"./hover\":1253,\"./plot\":1255}],1255:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,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\":684,\"../../plots/cartesian/axes\":849,\"../scatter/plot\":1235}],1256:[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 names\",\"geojson-id\"],dflt:\"ISO-3\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:{valType:\"string\",editType:\"calc\",dflt:\"id\"},mode:c({},a.mode,{dflt:\"markers\"}),text:c({},a.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"location\",\"text\"]}),hovertext:c({},a.hovertext,{}),textfont:a.textfont,textposition:a.textposition,line:{color:h.color,width:h.width,dash:l},connectgaps:a.connectgaps,marker:c({symbol:f.symbol,opacity:f.opacity,size:f.size,sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,colorbar:f.colorbar,line:c({width:p.width},s(\"marker.line\")),gradient:f.gradient},s(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:a.fillcolor,selected:a.selected,unselected:a.unselected,hoverinfo:c({},o.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":669,\"../../components/drawing/attributes\":683,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/attributes\":845,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214}],1257:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../../lib\")._;function c(t){return t&&\"string\"==typeof t}e.exports=function(t,e){var r,u=Array.isArray(e.locations),f=u?e.locations.length:e._length,h=new Array(f);r=e.geojson?function(t){return c(t)||n(t)}:c;for(var p=0;p<f;p++){var d=h[p]={};if(u){var m=e.locations[p];d.loc=r(m)?m:null}else{var g=e.lon[p],v=e.lat[p];n(g)&&n(v)?d.lonlat=[+g,+v]:d.lonlat=[i,i]}}return o(h,e),a(t,e),s(h,e),f&&(h[0].t={labels:{lat:l(t,\"lat:\")+\" \",lon:l(t,\"lon:\")+\" \"}}),h}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../scatter/arrays_to_calcdata\":1213,\"../scatter/calc_selection\":1216,\"../scatter/colorscale_calc\":1217,\"fast-isnumeric\":245}],1258:[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)}var h,p=f(\"locations\");if(p&&p.length){var d,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var g=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(g.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":799,\"../scatter/fillcolor_defaults\":1222,\"../scatter/line_defaults\":1227,\"../scatter/marker_defaults\":1233,\"../scatter/subtypes\":1239,\"../scatter/text_defaults\":1240,\"./attributes\":1256}],1259:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],1260:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":849}],1261:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var m=l[t.index],g=m.lonlat,v=[u.c2p(g),f.c2p(g)],y=m.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=m.loc,t.lon=g[0],t.lat=g[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(m,c,x);return t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=a(c,m),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var i=e.hi||t.hoverinfo,a=\"all\"===i?s.hoverinfo.flags:i.split(\"+\"),l=-1!==a.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==a.indexOf(\"lon\"),u=-1!==a.indexOf(\"lat\"),f=-1!==a.indexOf(\"text\"),h=[];function p(t){return t+\"\\xb0\"}l?h.push(e.loc):c&&u?h.push(\"(\"+p(r.latLabel)+\", \"+p(r.lonLabel)+\")\"):c?h.push(n.lon+p(r.lonLabel)):u&&h.push(n.lat+p(r.latLabel));f&&o(e,t,h);return h.join(\"<br>\")}(c,m,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":702,\"../../constants/numerical\":775,\"../../lib\":799,\"../scatter/get_trace_color\":1224,\"./attributes\":1256}],1262:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),calcGeoJSON:t(\"./plot\").calcGeoJSON,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),moduleType:\"trace\",name:\"scattergeo\",basePlotModule:t(\"../../plots/geo\"),categories:[\"geo\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/geo\":882,\"../scatter/marker_colorbar\":1232,\"../scatter/style\":1238,\"./attributes\":1256,\"./calc\":1257,\"./defaults\":1258,\"./event_data\":1259,\"./format_labels\":1260,\"./hover\":1261,\"./plot\":1263,\"./select\":1264,\"./style\":1265}],1263:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../lib/topojson_utils\").getTopojsonFeatures,o=t(\"../../lib/geojson_utils\"),s=t(\"../../lib/geo_location_utils\"),l=t(\"../../plots/cartesian/autorange\").findExtremes,c=t(\"../../constants/numerical\").BADNUM,u=t(\"../scatter/calc\").calcMarkerSize,f=t(\"../scatter/subtypes\"),h=t(\"./style\");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],f=o._subplot,h=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d=\"geojson-id\"===p?s.extractTraceFeature(t):a(i,f.topojson);for(r=0;r<h;r++){n=t[r];var m=\"geojson-id\"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=m?m.properties.ct:[c,c]}}var g,v,y={padded:!0};if(\"geojson\"===o.fitbounds&&\"geojson-id\"===i.locationmode){var x=s.computeBbox(s.getTraceGeojson(i));g=[x[0],x[2]],v=[x[1],x[3]]}else{for(g=new Array(h),v=new Array(h),r=0;r<h;r++)n=t[r],g[r]=n.lonlat[0],v[r]=n.lonlat[1];y.ppad=u(i,h)}i._extremes.lon=l(o.lonaxis._ax,g,y),i._extremes.lat=l(o.lataxis._ax,v,y)},plot:function(t,e,r){var a=e.layers.frontplot.select(\".scatterlayer\"),s=i.makeTraceGroups(a,r,\"trace scattergeo\");function l(t,e){t.lonlat[0]===c&&n.select(e).remove()}s.selectAll(\"*\").remove(),s.each((function(e){var r=n.select(this),a=e[0].trace;if(f.hasLines(a)||\"none\"!==a.fill){var s=o.calcTraceToLineCoords(e),c=\"none\"!==a.fill?o.makePolygon(s):o.makeLine(s);r.selectAll(\"path.js-line\").data([{geojson:c,trace:a}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}f.hasMarkers(a)&&r.selectAll(\"path.point\").data(i.identity).enter().append(\"path\").classed(\"point\",!0).each((function(t){l(t,this)})),f.hasText(a)&&r.selectAll(\"g\").data(i.identity).enter().append(\"g\").append(\"text\").each((function(t){l(t,this)})),h(t,e)}))}}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../lib/geo_location_utils\":792,\"../../lib/geojson_utils\":793,\"../../lib/topojson_utils\":827,\"../../plots/cartesian/autorange\":848,\"../scatter/calc\":1215,\"../scatter/subtypes\":1239,\"./style\":1265,\"@plotly/d3\":58}],1264:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e){var r,a,o,s,l,c=t.cd,u=t.xaxis,f=t.yaxis,h=[],p=c[0].trace;if(!n.hasMarkers(p)&&!n.hasText(p))return[];if(!1===e)for(l=0;l<c.length;l++)c[l].selected=0;else for(l=0;l<c.length;l++)(a=(r=c[l]).lonlat)[0]!==i&&(o=u.c2p(a),s=f.c2p(a),e.contains([o,s],null,l,t)?(h.push({pointNumber:l,lon:a[0],lat:a[1]}),r.selected=1):r.selected=0);return h}},{\"../../constants/numerical\":775,\"../scatter/subtypes\":1239}],1265:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../components/color\"),o=t(\"../scatter/style\"),s=o.stylePoints,l=o.styleText;e.exports=function(t,e){e&&function(t,e){var r=e[0].trace,o=e[0].node3;o.style(\"opacity\",e[0].trace.opacity),s(o,r,t),l(o,r,t),o.selectAll(\"path.js-line\").style(\"fill\",\"none\").each((function(t){var e=n.select(this),r=t.trace,o=r.line||{};e.call(a.stroke,o.color).call(i.dashLine,o.dash||\"\",o.width||0),\"none\"!==r.fill&&e.call(a.fill,r.fillcolor)}))}(t,e)}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../scatter/style\":1238,\"@plotly/d3\":58}],1266:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"./constants\").DASHES,u=i.line,f=i.marker,h=f.line,p=e.exports=l({x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),text:i.text,hovertext:i.hovertext,textposition:i.textposition,textfont:i.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:u.color,width:u.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(c),dflt:\"solid\"}},marker:s({},o(\"marker\"),{symbol:f.symbol,size:f.size,sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:s({},o(\"marker.line\"),{width:h.width})}),connectgaps:i.connectgaps,fill:s({},i.fill,{dflt:\"none\"}),fillcolor:i.fillcolor,selected:{marker:i.selected.marker,textfont:i.selected.textfont},unselected:{marker:i.unselected.marker,textfont:i.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");p.x.editType=p.y.editType=p.x0.editType=p.y0.editType=\"calc+clearAxisTypes\",p.hovertemplate=i.hovertemplate,p.texttemplate=i.texttemplate},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../scatter/attributes\":1214,\"./constants\":1268}],1267:[function(t,e,r){\"use strict\";var n=t(\"@plotly/point-cluster\"),i=t(\"../../lib\"),a=t(\"../../plots/cartesian/axis_ids\"),o=t(\"../../plots/cartesian/autorange\").findExtremes,s=t(\"../../plots/cartesian/align_period\"),l=t(\"../scatter/calc\"),c=l.calcMarkerSize,u=l.calcAxisExpansion,f=l.setFirstScatter,h=t(\"../scatter/colorscale_calc\"),p=t(\"./convert\"),d=t(\"./scene_update\"),m=t(\"../../constants/numerical\").BADNUM,g=t(\"./constants\").TOO_MANY_POINTS;function v(t,e,r){var n=t._extremes[e._id],i=o(e,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}e.exports=function(t,e){var r,o=t._fullLayout,l=a.getFromId(t,e.xaxis),y=a.getFromId(t,e.yaxis),x=o._plots[e.xaxis+e.yaxis],b=e._length,_=b>=g,w=2*b,T={},k=l.makeCalcdata(e,\"x\"),M=y.makeCalcdata(e,\"y\"),A=s(e,l,\"x\",k),S=s(e,y,\"y\",M);e._x=A,e._y=S,e.xperiodalignment&&(e._origX=k),e.yperiodalignment&&(e._origY=M);var E=new Array(w),L=new Array(b);for(r=0;r<b;r++)E[2*r]=A[r]===m?NaN:A[r],E[2*r+1]=S[r]===m?NaN:S[r],L[r]=r;if(\"log\"===l.type)for(r=0;r<w;r+=2)E[r]=l.c2l(E[r]);if(\"log\"===y.type)for(r=1;r<w;r+=2)E[r]=y.c2l(E[r]);_&&\"log\"!==l.type&&\"log\"!==y.type?T.tree=n(E):T.ids=L,h(t,e);var C,P=function(t,e,r,n,a,o){var s=p.style(t,r);s.marker&&(s.marker.positions=n);s.line&&n.length>1&&i.extendFlat(s.line,p.linePositions(t,r,n));if(s.errorX||s.errorY){var l=p.errorBarPositions(t,r,n,a,o);s.errorX&&i.extendFlat(s.errorX,l.x),s.errorY&&i.extendFlat(s.errorY,l.y)}s.text&&(i.extendFlat(s.text,{positions:n},p.textPosition(t,r,s.text,s.marker)),i.extendFlat(s.textSel,{positions:n},p.textPosition(t,r,s.text,s.markerSel)),i.extendFlat(s.textUnsel,{positions:n},p.textPosition(t,r,s.text,s.markerUnsel)));return s}(t,0,e,E,A,S),I=d(t,x);return f(o,e),_?P.marker&&(C=2*(P.marker.sizeAvg||Math.max(P.marker.size,3))):C=c(e,b),u(t,e,l,y,A,S,C),P.errorX&&v(e,l,P.errorX),P.errorY&&v(e,y,P.errorY),P.fill&&!I.fill2d&&(I.fill2d=!0),P.marker&&!I.scatter2d&&(I.scatter2d=!0),P.line&&!I.line2d&&(I.line2d=!0),!P.errorX&&!P.errorY||I.error2d||(I.error2d=!0),P.text&&!I.glText&&(I.glText=!0),P.marker&&(P.marker.snap=b),I.lineOptions.push(P.line),I.errorXOptions.push(P.errorX),I.errorYOptions.push(P.errorY),I.fillOptions.push(P.fill),I.markerOptions.push(P.marker),I.markerSelectedOptions.push(P.markerSel),I.markerUnselectedOptions.push(P.markerUnsel),I.textOptions.push(P.text),I.textSelectedOptions.push(P.textSel),I.textUnselectedOptions.push(P.textUnsel),I.selectBatch.push([]),I.unselectBatch.push([]),T._scene=I,T.index=I.count,T.x=A,T.y=S,T.positions=E,I.count++,[{x:!1,y:!1,t:T,trace:e}]}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/autorange\":848,\"../../plots/cartesian/axis_ids\":853,\"../scatter/calc\":1215,\"../scatter/colorscale_calc\":1217,\"./constants\":1268,\"./convert\":1269,\"./scene_update\":1277,\"@plotly/point-cluster\":59}],1268:[function(t,e,r){\"use strict\";e.exports={TOO_MANY_POINTS:1e5,SYMBOL_SDF_SIZE:200,SYMBOL_SIZE:20,SYMBOL_STROKE:1,DOT_RE:/-dot/,OPEN_RE:/-open/,DASHES:{solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}}},{}],1269:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"svg-path-sdf\"),a=t(\"color-normalize\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=t(\"../../components/drawing\"),c=t(\"../../plots/cartesian/axis_ids\"),u=t(\"../../lib/gl_format_color\").formatColor,f=t(\"../scatter/subtypes\"),h=t(\"../scatter/make_bubble_size_func\"),p=t(\"./helpers\"),d=t(\"./constants\"),m=t(\"../../constants/interactions\").DESELECTDIM,g={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},v=t(\"../../components/fx/helpers\").appendArrayPointValue;function y(t,e){var r,i=t._fullLayout,a=e._length,o=e.textfont,l=e.textposition,c=Array.isArray(l)?l:[l],u=o.color,f=o.size,h=o.family,p={},d=e.texttemplate;if(d){p.text=[];var m=i._d3locale,g=Array.isArray(d),y=g?Math.min(d.length,a):a,x=g?function(t){return d[t]}:function(){return d};for(r=0;r<y;r++){var b={i:r},_=e._module.formatLabels(b,e,i),w={};v(w,e,r);var T=e._meta||{};p.text.push(s.texttemplateString(x(r),_,m,w,b,T))}}else Array.isArray(e.text)&&e.text.length<a?p.text=e.text.slice():p.text=e.text;if(Array.isArray(p.text))for(r=p.text.length;r<a;r++)p.text[r]=\"\";for(p.opacity=e.opacity,p.font={},p.align=[],p.baseline=[],r=0;r<c.length;r++){var k=c[r].split(/\\s+/);switch(k[1]){case\"left\":p.align.push(\"right\");break;case\"right\":p.align.push(\"left\");break;default:p.align.push(k[1])}switch(k[0]){case\"top\":p.baseline.push(\"bottom\");break;case\"bottom\":p.baseline.push(\"top\");break;default:p.baseline.push(k[0])}}if(Array.isArray(u))for(p.color=new Array(a),r=0;r<a;r++)p.color[r]=u[r];else p.color=u;if(s.isArrayOrTypedArray(f)||Array.isArray(h))for(p.font=new Array(a),r=0;r<a;r++){var M=p.font[r]={};M.size=s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else r?(o.color=a(i.color,\"uint8\"),o.color[3]=0,o.borderColor=a(i.color,\"uint8\")):(o.color=a(i.color,\"uint8\"),o.borderColor=a(i.line.color,\"uint8\")),o.opacity=t.opacity*i.opacity;if(l)for(o.markers=new Array(n),e=0;e<n;e++)o.markers[e]=E(i.symbol[e]);else o.marker=E(i.symbol);var w,T=h(t);if(m||g){var k,M=o.sizes=new Array(n),A=o.borderSizes=new Array(n),S=0;if(m){for(e=0;e<n;e++)M[e]=T(i.size[e]),S+=M[e];k=S/n}else for(w=T(i.size),e=0;e<n;e++)M[e]=w;if(g)for(e=0;e<n;e++)A[e]=i.line.width[e]/2;else for(w=i.line.width/2,e=0;e<n;e++)A[e]=w;o.sizeAvg=k}else o.size=T(i&&i.size||10),o.borderSizes=T(i.line.width);return o}function b(t,e){var r=t.marker,n={};return e?(e.marker&&e.marker.symbol?n=x(s.extendFlat({},r,e.marker)):e.marker&&(e.marker.size&&(n.size=e.marker.size/2),e.marker.color&&(n.colors=e.marker.color),void 0!==e.marker.opacity&&(n.opacity=e.marker.opacity)),n):n}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){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,M=d.SYMBOL_STROKE,A={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return A[t]?A[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?M:-M}),A[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0};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(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var i=e.marker.opacity;for(n.markerUnsel.opacity=new Array(i.length),r=0;r<i.length;r++)n.markerUnsel.opacity[r]=m*i[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var a=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<a.length;++r)a[r]*=e.line.width;n.line.dashes=a}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),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),u=c.getFromId(t,e.yaxis),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\":684,\"../../components/fx/helpers\":698,\"../../constants/interactions\":774,\"../../lib\":799,\"../../lib/gl_format_color\":795,\"../../plots/cartesian/axis_ids\":853,\"../../registry\":927,\"../scatter/make_bubble_size_func\":1231,\"../scatter/subtypes\":1239,\"./constants\":1268,\"./helpers\":1273,\"color-normalize\":131,\"fast-isnumeric\":245,\"svg-path-sdf\":591}],1270:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":799,\"../../registry\":927,\"../scatter/constants\":1218,\"../scatter/fillcolor_defaults\":1222,\"../scatter/line_defaults\":1227,\"../scatter/marker_defaults\":1233,\"../scatter/period_defaults\":1234,\"../scatter/subtypes\":1239,\"../scatter/text_defaults\":1240,\"../scatter/xy_defaults\":1241,\"./attributes\":1266,\"./helpers\":1273}],1271:[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\":662,\"../../constants/interactions\":774,\"../../lib\":799}],1272:[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\":1223}],1273:[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\":1268}],1274:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,M=o._origY,A=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:M?M[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?A.text=h.htx:h.tx?A.text=h.tx:o.text&&(A.text=o.text),i.fillText(h,o,A),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d=t.cd,m=d[0].t,g=d[0].trace,v=t.xa,y=t.ya,x=m.x,b=m.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(m.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);i=\"x\"===n?m.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):m.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else i=m.ids;var E=T;if(\"x\"===n)for(c=0;c<i.length;c++)s=x[i[c]],u=Math.abs(v.c2p(s)-_),g._origX&&void 0!==g._origX[c]&&(u+=v.c2p(g._origX[c])-v.c2p(s)),u<E&&(E=u,f=y.c2p(b[i[c]])-w,g._origY&&void 0!==g._origY[c]&&(f+=y.c2p(g._origY[c])-y.c2p(l)),p=Math.sqrt(u*u+f*f),a=i[c]);else for(c=i.length-1;c>-1;c--)s=x[i[c]],l=b[i[c]],u=v.c2p(s)-_,f=y.c2p(l)-w,(h=Math.sqrt(u*u+f*f))<E&&(E=p=h,a=i[c]);return t.index=a,t.distance=E,t.dxy=p,void 0===a?[t]:[o(t,x,b,g)]},calcHover:o}},{\"../../lib\":799,\"../../registry\":927,\"../scatter/get_trace_color\":1224}],1275:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":863,\"../scatter/cross_trace_defaults\":1220,\"../scatter/marker_colorbar\":1232,\"./attributes\":1266,\"./calc\":1267,\"./defaults\":1270,\"./format_labels\":1272,\"./hover\":1274,\"./plot\":1276,\"./select\":1278}],1276:[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;function p(t,e,r){var n=t._size,i=t.width,a=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,i-n.r-(1-e.domain[1])*n.w,a-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,m,g=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=g._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.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=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.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=v.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.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}})),v.fill2d.update(v.fillOptions))}var M=g.dragmode,A=l(M),S=g.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||A||S){if(A||(A=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(m=0;m<D.length;m++)R[D[m]]=1;var F=[];for(m=0;m<I;m++)R[m]||F.push(m);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(m=0;m<I;m++)B[m]=y.c2p(O[m]),N[m]=x.c2p(z[m])}else C.xpx=C.ypx=null}if(A){if(v.select2d||(v.select2d=n(g._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(g,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":680,\"../../lib\":799,\"../../lib/prepare_regl\":812,\"../scatter/link_traces\":1230,\"../scatter/subtypes\":1239,\"./edit_style\":1271,\"gl-text\":351,\"regl-error2d\":532,\"regl-line2d\":533,\"regl-scatter2d\":534}],1277:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":799}],1278:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":1239,\"./edit_style\":1271}],1279:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/attributes\":845,\"../../plots/mapbox/layout_attributes\":909,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214,\"../scattergeo/attributes\":1256}],1280:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,M=w&&\"circle\"!==a.marker.symbol,A=m(),S=m(),E=m(),L=m(),C={fill:A,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility=\"visible\",i.extendFlat(A.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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\",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);E.geojson=P.geojson,E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"circle-color\":P.mcc,\"circle-radius\":P.mrc,\"circle-opacity\":P.mo})}if((M||T)&&(L.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),M={};h(M,n,b.i);var A=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,M,b,A)}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(L.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(i.extendFlat(L.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(L.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),L.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(L.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),T)){var I=(a.marker||{}).size,O=f(a.textposition,I);i.extendFlat(L.layout,{\"text-size\":a.textfont.size,\"text-anchor\":O.anchor,\"text-offset\":O.offset}),i.extendFlat(L.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return C}},{\"../../components/colorscale\":674,\"../../components/drawing\":684,\"../../components/fx/helpers\":698,\"../../constants/numerical\":775,\"../../lib\":799,\"../../lib/geojson_utils\":793,\"../../lib/svg_text_utils\":824,\"../../plots/mapbox/convert_text_opts\":906,\"../scatter/make_bubble_size_func\":1231,\"../scatter/subtypes\":1239,\"fast-isnumeric\":245}],1281:[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)}if(function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f)){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasLines(e)&&(o(t,e,r,u,f,{noDash:!0}),f(\"connectgaps\")),i.hasMarkers(e)){a(t,e,r,u,f,{noLine:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var h=e.marker;\"circle\"!==h.symbol&&(n.isArrayOrTypedArray(h.size)&&(h.size=h.size[0]),n.isArrayOrTypedArray(h.color)&&(h.color=h.color[0]))}i.hasText(e)&&s(t,e,u,f,{noSelect:!0}),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},{\"../../lib\":799,\"../scatter/fillcolor_defaults\":1222,\"../scatter/line_defaults\":1227,\"../scatter/marker_defaults\":1233,\"../scatter/subtypes\":1239,\"../scatter/text_defaults\":1240,\"./attributes\":1279}],1282:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},{}],1283:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":849}],1284:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\"),o=i.fillText,s=t(\"../../constants/numerical\").BADNUM;function l(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"\\xb0\"}}e.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=h.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-f.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)}),t),!1!==t.index){var m=o[t.index],g=m.lonlat,v=[i.modHalf(g[0],360)+p,g[1]],y=u.c2p(v),x=f.c2p(v),b=m.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:h};var w=c._module.formatLabels(m,c,_);return t.lonLabel=w.lonLabel,t.latLabel=w.latLabel,t.color=a(c,m),t.extraText=l(c,m,o[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}},getExtraText:l}},{\"../../components/fx\":702,\"../../constants/numerical\":775,\"../../lib\":799,\"../scatter/get_trace_color\":1224}],1285:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"../scattergeo/calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\").hoverPoints,eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/mapbox\":907,\"../scatter/marker_colorbar\":1232,\"../scattergeo/calc\":1257,\"./attributes\":1279,\"./defaults\":1281,\"./event_data\":1282,\"./format_labels\":1283,\"./hover\":1284,\"./plot\":1286,\"./select\":1287}],1286:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),i=t(\"../../plots/mapbox/constants\").traceLayerPrefix,a=[\"fill\",\"line\",\"circle\",\"symbol\"];function o(t,e){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\"},this.layerIds={fill:i+e+\"-fill\",line:i+e+\"-line\",circle:i+e+\"-circle\",symbol:i+e+\"-symbol\"},this.below=null}var s=o.prototype;s.addSource=function(t,e){this.subplot.map.addSource(this.sourceIds[t],{type:\"geojson\",data:e.geojson})},s.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},s.addLayer=function(t,e,r){this.subplot.addLayer({type:t,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint},r)},s.update=function(t){var e,r,i,o=this.subplot,s=o.map,l=n(o.gd,t),c=o.belowLookup[\"trace-\"+this.uid];if(c!==this.below){for(e=a.length-1;e>=0;e--)r=a[e],s.removeLayer(this.layerIds[r]);for(e=0;e<a.length;e++)i=l[r=a[e]],this.addLayer(r,i,c);this.below=c}for(e=0;e<a.length;e++)i=l[r=a[e]],o.setOptions(this.layerIds[r],\"setLayoutProperty\",i.layout),\"visible\"===i.layout.visibility&&(this.setSourceData(r,i),o.setOptions(this.layerIds[r],\"setPaintProperty\",i.paint));t[0].trace._glTrace=this},s.dispose=function(){for(var t=this.subplot.map,e=a.length-1;e>=0;e--){var r=a[e];t.removeLayer(this.layerIds[r]),t.removeSource(this.sourceIds[r])}},e.exports=function(t,e){for(var r=e[0].trace,i=new o(t,r.uid),s=n(t.gd,e),l=i.below=t.belowLookup[\"trace-\"+r.uid],c=0;c<a.length;c++){var u=a[c],f=s[u];i.addSource(u,f),i.addLayer(u,f,l)}return e[0].trace._glTrace=i,i}},{\"../../plots/mapbox/constants\":905,\"./convert\":1280}],1287:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e){var r,o=t.cd,s=t.xaxis,l=t.yaxis,c=[],u=o[0].trace;if(!i.hasMarkers(u))return[];if(!1===e)for(r=0;r<o.length;r++)o[r].selected=0;else for(r=0;r<o.length;r++){var f=o[r],h=f.lonlat;if(h[0]!==a){var p=[n.modHalf(h[0],360),h[1]],d=[s.c2p(p),l.c2p(p)];e.contains(d,null,r,t)?(c.push({pointNumber:r,lon:h[0],lat:h[1]}),f.selected=1):f.selected=0}}return c}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../scatter/subtypes\":1239}],1288:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,r:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},theta:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},r0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dr:{valType:\"number\",dflt:1,editType:\"calc\"},theta0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dtheta:{valType:\"number\",editType:\"calc\"},thetaunit:{valType:\"enumerated\",values:[\"radians\",\"degrees\",\"gradians\"],dflt:\"degrees\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"r\",\"theta\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214}],1289:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/cartesian/axes\"),o=t(\"../scatter/colorscale_calc\"),s=t(\"../scatter/arrays_to_calcdata\"),l=t(\"../scatter/calc_selection\"),c=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,u=e.subplot,f=r[u].radialaxis,h=r[u].angularaxis,p=f.makeCalcdata(e,\"r\"),d=h.makeCalcdata(e,\"theta\"),m=e._length,g=new Array(m),v=0;v<m;v++){var y=p[v],x=d[v],b=g[v]={};n(y)&&n(x)?(b.r=y,b.theta=x):b.r=i}var _=c(e,m);return e._extremes.x=a.findExtremes(f,p,{ppad:_}),o(t,e),s(g,e),l(g,e),g}},{\"../../constants/numerical\":775,\"../../plots/cartesian/axes\":849,\"../scatter/arrays_to_calcdata\":1213,\"../scatter/calc\":1215,\"../scatter/calc_selection\":1216,\"../scatter/colorscale_calc\":1217,\"fast-isnumeric\":245}],1290:[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/line_shape_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),u=t(\"../scatter/constants\").PTS_LINESONLY,f=t(\"./attributes\");function h(t,e,r,n){var i,a=n(\"r\"),o=n(\"theta\");if(a)o?i=Math.min(a.length,o.length):(i=a.length,n(\"theta0\"),n(\"dtheta\"));else{if(!o)return 0;i=e.theta.length,n(\"r0\"),n(\"dr\")}return e._length=i,i}e.exports={handleRThetaDefaults:h,supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,f,r,i)}var m=h(t,e,p,d);if(m){d(\"thetaunit\"),d(\"mode\",m<u?\"lines+markers\":\"lines\"),d(\"text\"),d(\"hovertext\"),\"fills\"!==e.hoveron&&d(\"hovertemplate\"),i.hasLines(e)&&(o(t,e,r,p,d),s(t,e,d),d(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,p,d,{gradient:!0}),i.hasText(e)&&(d(\"texttemplate\"),l(t,e,p,d));var g=[];(i.hasMarkers(e)||i.hasText(e))&&(d(\"cliponaxis\"),d(\"marker.maxdisplayed\"),g.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),i.hasLines(e)||s(t,e,d)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||g.push(\"fills\"),d(\"hoveron\",g.join(\"+\")||\"points\"),n.coerceSelectionMarkerOpacity(e,d)}else e.visible=!1}}},{\"../../lib\":799,\"../scatter/constants\":1218,\"../scatter/fillcolor_defaults\":1222,\"../scatter/line_defaults\":1227,\"../scatter/line_shape_defaults\":1229,\"../scatter/marker_defaults\":1233,\"../scatter/subtypes\":1239,\"../scatter/text_defaults\":1240,\"./attributes\":1288}],1291:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a,o,s={},l=r[e.subplot]._subplot;l?(a=l.radialAxis,o=l.angularAxis):(a=(l=r[e.subplot]).radialaxis,o=l.angularaxis);var c=a.c2l(t.r);s.rLabel=i.tickText(a,c,!0).text;var u=\"degrees\"===o.thetaunit?n.rad2deg(t.theta):t.theta;return s.thetaLabel=i.tickText(o,u,!0).text,s}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849}],1292:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");function i(t,e,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle=\"r\",a._hovertitle=\"\\u03b8\";var o={};o[e.subplot]={_subplot:r};var s=e._module.formatLabels(t,e,o);n.rLabel=s.rLabel,n.thetaLabel=s.thetaLabel;var l=t.hi||e.hoverinfo,c=[];function u(t,e){c.push(t._hovertitle+\": \"+e)}if(!e.hovertemplate){var f=l.split(\"+\");-1!==f.indexOf(\"all\")&&(f=[\"r\",\"theta\",\"text\"]),-1!==f.indexOf(\"r\")&&u(i,n.rLabel),-1!==f.indexOf(\"theta\")&&u(a,n.thetaLabel),-1!==f.indexOf(\"text\")&&n.text&&(c.push(n.text),delete n.text),n.extraText=c.join(\"<br>\")}}e.exports={hoverPoints: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)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":1225}],1293:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scatterpolar\",basePlotModule:t(\"../../plots/polar\"),categories:[\"polar\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/polar\":916,\"../scatter/marker_colorbar\":1232,\"../scatter/select\":1236,\"../scatter/style\":1238,\"./attributes\":1288,\"./calc\":1289,\"./defaults\":1290,\"./format_labels\":1291,\"./hover\":1292,\"./plot\":1294}],1294:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){for(var a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c<r.length;c++)for(var u=r[c],f=0;f<u.length;f++){var h=u[f],p=h.r;if(p===i)h.x=h.y=i;else{var d=s.c2g(p),m=l.c2g(h.theta);h.x=d*Math.cos(m),h.y=d*Math.sin(m)}}n(t,o,r,a)}},{\"../../constants/numerical\":775,\"../scatter/plot\":1235}],1295:[function(t,e,r){\"use strict\";var n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":922,\"../scattergl/attributes\":1266,\"../scatterpolar/attributes\":1288}],1296:[function(t,e,r){\"use strict\";var n=t(\"../scatter/colorscale_calc\"),i=t(\"../scatter/calc\").calcMarkerSize,a=t(\"../scattergl/convert\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../scattergl/constants\").TOO_MANY_POINTS;e.exports=function(t,e){var r=t._fullLayout,l=e.subplot,c=r[l].radialaxis,u=r[l].angularaxis,f=e._r=c.makeCalcdata(e,\"r\"),h=e._theta=u.makeCalcdata(e,\"theta\"),p=e._length,d={};p<f.length&&(f=f.slice(0,p)),p<h.length&&(h=h.slice(0,p)),d.r=f,d.theta=h,n(t,e);var m,g=d.opts=a.style(t,e);return p<s?m=i(e,p):g.marker&&(m=2*(g.marker.sizeAvg||Math.max(g.marker.size,3))),e._extremes.x=o.findExtremes(c,f,{ppad:m}),[{x:!1,y:!1,t:d,trace:e}]}},{\"../../plots/cartesian/axes\":849,\"../scatter/calc\":1215,\"../scatter/colorscale_calc\":1217,\"../scattergl/constants\":1268,\"../scattergl/convert\":1269}],1297:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatterpolar/defaults\").handleRThetaDefaults,o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),u=t(\"../scatter/constants\").PTS_LINESONLY,f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}var d=a(t,e,h,p);d?(p(\"thetaunit\"),p(\"mode\",d<u?\"lines+markers\":\"lines\"),p(\"text\"),p(\"hovertext\"),\"fills\"!==e.hoveron&&p(\"hovertemplate\"),i.hasLines(e)&&(s(t,e,r,h,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,h,p),i.hasText(e)&&(p(\"texttemplate\"),l(t,e,h,p)),p(\"fill\"),\"none\"!==e.fill&&c(t,e,r,p),n.coerceSelectionMarkerOpacity(e,p)):e.visible=!1}},{\"../../lib\":799,\"../scatter/constants\":1218,\"../scatter/fillcolor_defaults\":1222,\"../scatter/line_defaults\":1227,\"../scatter/marker_defaults\":1233,\"../scatter/subtypes\":1239,\"../scatter/text_defaults\":1240,\"../scatterpolar/defaults\":1290,\"./attributes\":1295}],1298:[function(t,e,r){\"use strict\";var n=t(\"../scatterpolar/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"r\"in t||(t.r=e._r[i]),\"theta\"in t||(t.theta=e._theta[i]),n(t,e,r)}},{\"../scatterpolar/format_labels\":1291}],1299:[function(t,e,r){\"use strict\";var n=t(\"../scattergl/hover\"),i=t(\"../scatterpolar/hover\").makeHoverPointText;e.exports={hoverPoints:function(t,e,r,a){var o=t.cd[0].t,s=o.r,l=o.theta,c=n.hoverPoints(t,e,r,a);if(c&&!1!==c[0].index){var u=c[0];if(void 0===u.index)return c;var f=t.subplot,h=u.cd[u.index],p=u.trace;if(h.r=s[u.index],h.theta=l[u.index],f.isPtInside(h))return u.xLabelVal=void 0,u.yLabelVal=void 0,i(h,p,f,u),c}}}},{\"../scattergl/hover\":1274,\"../scatterpolar/hover\":1292}],1300:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scatterpolargl\",basePlotModule:t(\"../../plots/polar\"),categories:[\"gl\",\"regl\",\"polar\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scattergl/select\"),meta:{}}},{\"../../plots/polar\":916,\"../scatter/marker_colorbar\":1232,\"../scattergl/select\":1278,\"./attributes\":1295,\"./calc\":1296,\"./defaults\":1297,\"./format_labels\":1298,\"./hover\":1299,\"./plot\":1301}],1301:[function(t,e,r){\"use strict\";var n=t(\"@plotly/point-cluster\"),i=t(\"fast-isnumeric\"),a=t(\"../scattergl/plot\"),o=t(\"../scattergl/scene_update\"),s=t(\"../scattergl/convert\"),l=t(\"../../lib\"),c=t(\"../scattergl/constants\").TOO_MANY_POINTS;e.exports=function(t,e,r){if(r.length){var u=e.radialAxis,f=e.angularAxis,h=o(t,e);return r.forEach((function(r){if(r&&r[0]&&r[0].trace){var a,o=r[0],p=o.trace,d=o.t,m=p._length,g=d.r,v=d.theta,y=d.opts,x=g.slice(),b=v.slice();for(a=0;a<g.length;a++)e.isPtInside({r:g[a],theta:v[a]})||(x[a]=NaN,b[a]=NaN);var _=new Array(2*m),w=Array(m),T=Array(m);for(a=0;a<m;a++){var k,M,A=x[a];if(i(A)){var S=u.c2g(A),E=f.c2g(b[a],p.thetaunit);k=S*Math.cos(E),M=S*Math.sin(E)}else k=M=NaN;w[a]=_[2*a]=k,T[a]=_[2*a+1]=M}d.tree=n(_),y.marker&&m>=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=g,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":799,\"../scattergl/constants\":1268,\"../scattergl/convert\":1269,\"../scattergl/plot\":1276,\"../scattergl/scene_update\":1277,\"@plotly/point-cluster\":59,\"fast-isnumeric\":245}],1302:[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=a.marker,f=a.line,h=u.line;e.exports={a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},c:{valType:\"data_array\",editType:\"calc\"},sum:{valType:\"number\",dflt:0,min:0,editType:\"calc\"},mode:c({},a.mode,{dflt:\"markers\"}),text:c({},a.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"a\",\"b\",\"c\",\"text\"]}),hovertext:c({},a.hovertext,{}),line:{color:f.color,width:f.width,dash:l,shape:c({},f.shape,{values:[\"linear\",\"spline\"]}),smoothing:f.smoothing,editType:\"calc\"},connectgaps:a.connectgaps,cliponaxis:a.cliponaxis,fill:c({},a.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:a.fillcolor,marker:c({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:c({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:a.textfont,textposition:a.textposition,selected:a.selected,unselected:a.unselected,hoverinfo:c({},o.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:a.hoveron,hovertemplate:n()}},{\"../../components/colorscale/attributes\":669,\"../../components/drawing/attributes\":683,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214}],1303:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../scatter/colorscale_calc\"),a=t(\"../scatter/arrays_to_calcdata\"),o=t(\"../scatter/calc_selection\"),s=t(\"../scatter/calc\").calcMarkerSize,l=[\"a\",\"b\",\"c\"],c={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};e.exports=function(t,e){var r,u,f,h,p,d,m=t._fullLayout[e.subplot].sum,g=e.sum||m,v={a:e.a,b:e.b,c:e.c};for(r=0;r<l.length;r++)if(!v[f=l[r]]){for(p=v[c[f][0]],d=v[c[f][1]],h=new Array(p.length),u=0;u<p.length;u++)h[u]=g-p[u]-d[u];v[f]=h}var y,x,b,_,w,T,k=e._length,M=new Array(k);for(r=0;r<k;r++)y=v.a[r],x=v.b[r],b=v.c[r],n(y)&&n(x)&&n(b)?(1!==(_=m/((y=+y)+(x=+x)+(b=+b)))&&(y*=_,x*=_,b*=_),T=y,w=b-x,M[r]={x:w,y:T,a:y,b:x,c:b}):M[r]={x:!1,y:!1};return s(e,k),i(t,e),a(M,e),o(M,e),M}},{\"../scatter/arrays_to_calcdata\":1213,\"../scatter/calc\":1215,\"../scatter/calc_selection\":1216,\"../scatter/colorscale_calc\":1217,\"fast-isnumeric\":245}],1304:[function(t,e,r){\"use strict\";var 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)}var d,m=p(\"a\"),g=p(\"b\"),v=p(\"c\");if(m?(d=m.length,g?(d=Math.min(d,g.length),v&&(d=Math.min(d,v.length))):d=v?Math.min(d,v.length):0):g&&v&&(d=Math.min(g.length,v.length)),d){e._length=d,p(\"sum\"),p(\"text\"),p(\"hovertext\"),\"fills\"!==e.hoveron&&p(\"hovertemplate\"),p(\"mode\",d<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&(p(\"texttemplate\"),c(t,e,h,p));var y=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"cliponaxis\"),p(\"marker.maxdisplayed\"),y.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||y.push(\"fills\"),p(\"hoveron\",y.join(\"+\")||\"points\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":799,\"../scatter/constants\":1218,\"../scatter/fillcolor_defaults\":1222,\"../scatter/line_defaults\":1227,\"../scatter/line_shape_defaults\":1229,\"../scatter/marker_defaults\":1233,\"../scatter/subtypes\":1239,\"../scatter/text_defaults\":1240,\"./attributes\":1302}],1305:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){if(e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),n[i]){var a=n[i];t.a=a.a,t.b=a.b,t.c=a.c}else t.a=e.a,t.b=e.b,t.c=e.c;return t}},{}],1306:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot;return i.aLabel=n.tickText(a.aaxis,t.a,!0).text,i.bLabel=n.tickText(a.baxis,t.b,!0).text,i.cLabel=n.tickText(a.caxis,t.c,!0).text,i}},{\"../../plots/cartesian/axes\":849}],1307:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){var a=n(t,e,r,i);if(a&&!1!==a[0].index){var o=a[0];if(void 0===o.index){var s=1-o.y0/t.ya._length,l=t.xa._length,c=l*s/2,u=l-c;return o.x0=Math.max(Math.min(o.x0,u),c),o.x1=Math.max(Math.min(o.x1,u),c),a}var f=o.cd[o.index],h=o.trace,p=o.subplot;o.a=f.a,o.b=f.b,o.c=f.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var d={};d[h.subplot]={_subplot:p};var m=h._module.formatLabels(f,h,d);o.aLabel=m.aLabel,o.bLabel=m.bLabel,o.cLabel=m.cLabel;var g=f.hi||h.hoverinfo,v=[];if(!h.hovertemplate){var y=g.split(\"+\");-1!==y.indexOf(\"all\")&&(y=[\"a\",\"b\",\"c\"]),-1!==y.indexOf(\"a\")&&x(p.aaxis,o.aLabel),-1!==y.indexOf(\"b\")&&x(p.baxis,o.bLabel),-1!==y.indexOf(\"c\")&&x(p.caxis,o.cLabel)}return o.extraText=v.join(\"<br>\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":1225}],1308:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":923,\"../scatter/marker_colorbar\":1232,\"../scatter/select\":1236,\"../scatter/style\":1238,\"./attributes\":1302,\"./calc\":1303,\"./defaults\":1304,\"./event_data\":1305,\"./format_labels\":1306,\"./hover\":1307,\"./plot\":1309}],1309:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":1235}],1310:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function m(t){return{valType:\"info_array\",freeLength:!0,editType:\"calc\",items:{valType:\"subplotid\",regex:l[t],editType:\"plot\"}}}d.color.editType=d.cmin.editType=d.cmax.editType=\"style\",e.exports={dimensions:c(\"dimension\",{visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},label:{valType:\"string\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},axis:{type:{valType:\"enumerated\",values:[\"linear\",\"log\",\"date\",\"category\"],editType:\"calc+clearAxisTypes\"},matches:{valType:\"boolean\",dflt:!1,editType:\"calc\"},editType:\"calc+clearAxisTypes\"},editType:\"calc+clearAxisTypes\"}),text:u({},s.text,{}),hovertext:u({},s.hovertext,{}),hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),marker:d,xaxes:m(\"x\"),yaxes:m(\"y\"),diagonal:{visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},editType:\"calc\"},showupperhalf:{valType:\"boolean\",dflt:!0,editType:\"calc\"},showlowerhalf:{valType:\"boolean\",dflt:!0,editType:\"calc\"},selected:{marker:s.selected.marker,editType:\"calc\"},unselected:{marker:s.unselected.marker,editType:\"calc\"},opacity:s.opacity}},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plot_api/plot_template\":838,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/cartesian/constants\":856,\"../../plots/template_attributes\":922,\"../scatter/attributes\":1214,\"../scattergl/attributes\":1266}],1311:[function(t,e,r){\"use strict\";var n=t(\"regl-line2d\"),i=t(\"../../registry\"),a=t(\"../../lib/prepare_regl\"),o=t(\"../../plots/get_data\").getModuleCalcData,s=t(\"../../plots/cartesian\"),l=t(\"../../plots/cartesian/axis_ids\").getFromId,c=t(\"../../plots/cartesian/axes\").shouldShowZeroLine;function u(t,e,r){for(var n=r.matrixOptions.data.length,i=e._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],c=a[o]=new Array(4),u=l(t,e._diag[s][0]);u&&(c[0]=u.r2l(u.range[0]),c[2]=u.r2l(u.range[1]));var f=l(t,e._diag[s][1]);f&&(c[1]=f.r2l(f.range[0]),c[3]=f.r2l(f.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function f(t){var e=t._fullLayout,r=e._glcanvas.data()[0].regl,i=e._splomGrid;i||(i=e._splomGrid=n(r)),i.update(function(t){var e,r=t._fullLayout,n=r._size,i=[0,0,r.width,r.height],a={};function o(t,e,r,n,o,s){var l=e[t+\"color\"],c=e[t+\"width\"],u=String(l+c);u in a?a[u].data.push(NaN,NaN,r,n,o,s):a[u]={data:[r,n,o,s],join:\"rect\",thickness:c,color:l,viewport:i,range:i,overlay:!1}}for(e in r._splomSubplots){var s,l,u=r._plots[e],f=u.xaxis,h=u.yaxis,p=f._gridVals,d=h._gridVals,m=n.b+h.domain[0]*n.h,g=-h._m,v=-g*h.r2l(h.range[0],h.calendar);if(f.showgrid)for(e=0;e<p.length;e++)s=f._offset+f.l2p(p[e].x),o(\"grid\",f,s,m,s,m+h._length);if(h.showgrid)for(e=0;e<d.length;e++)l=m+v+g*d[e].x,o(\"grid\",h,f._offset,l,f._offset+f._length,l);c(t,f,h)&&(s=f._offset+f.l2p(0),o(\"zeroline\",f,s,m,s,m+h._length)),c(t,h,f)&&(l=m+v+0,o(\"zeroline\",h,f._offset,l,f._offset+f._length,l))}var y=[];for(e in a)y.push(a[e]);return y}(t))}e.exports={name:\"splom\",attr:s.attr,attrRegex:s.attrRegex,layoutAttributes:s.layoutAttributes,supplyLayoutDefaults:s.supplyLayoutDefaults,drawFramework:s.drawFramework,plot:function(t){var e=t._fullLayout,r=i.getModule(\"splom\"),n=o(t.calcdata,r)[0];a(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])&&(e._hasOnlyLargeSploms&&f(t),r.plot(t,{},n))},drag:function(t){var e=t.calcdata,r=t._fullLayout;r._hasOnlyLargeSploms&&f(t);for(var n=0;n<e.length;n++){var i=e[n][0].trace,a=r._splomScenes[i.uid];\"splom\"===i.type&&a&&a.matrix&&u(t,i,a)}},updateGrid:f,clean:function(t,e,r,n){var i,a={};if(n._splomScenes){for(i=0;i<t.length;i++){var o=t[i];\"splom\"===o.type&&(a[o.uid]=1)}for(i=0;i<r.length;i++){var l=r[i];if(!a[l.uid]){var c=n._splomScenes[l.uid];c&&c.destroy&&c.destroy(),n._splomScenes[l.uid]=null,delete n._splomScenes[l.uid]}}}0===Object.keys(n._splomScenes||{}).length&&delete n._splomScenes,n._splomGrid&&!e._hasOnlyLargeSploms&&n._hasOnlyLargeSploms&&(n._splomGrid.destroy(),n._splomGrid=null,delete n._splomGrid),s.clean(t,e,r,n)},updateFx:s.updateFx,toSVG:s.toSVG}},{\"../../lib/prepare_regl\":812,\"../../plots/cartesian\":863,\"../../plots/cartesian/axes\":849,\"../../plots/cartesian/axis_ids\":853,\"../../plots/get_data\":887,\"../../registry\":927,\"regl-line2d\":533}],1312:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axis_ids\"),a=t(\"../scatter/calc\").calcMarkerSize,o=t(\"../scatter/calc\").calcAxisExpansion,s=t(\"../scatter/colorscale_calc\"),l=t(\"../scattergl/convert\").markerSelection,c=t(\"../scattergl/convert\").markerStyle,u=t(\"./scene_update\"),f=t(\"../../constants/numerical\").BADNUM,h=t(\"../scattergl/constants\").TOO_MANY_POINTS;e.exports=function(t,e){var r,p,d,m,g,v,y=e.dimensions,x=e._length,b={},_=b.cdata=[],w=b.data=[],T=e._visibleDims=[];function k(t,r){for(var i=t.makeCalcdata({v:r.values,vcalendar:e.calendar},\"v\"),a=0;a<i.length;a++)i[a]=i[a]===f?NaN:i[a];_.push(i),w.push(\"log\"===t.type?n.simpleMap(i,t.c2l):i)}for(r=0;r<y.length;r++)if((d=y[r]).visible){if(m=i.getFromId(t,e._diag[r][0]),g=i.getFromId(t,e._diag[r][1]),m&&g&&m.type!==g.type){n.log(\"Skipping splom dimension \"+r+\" with conflicting axis types\");continue}m?(k(m,d),g&&\"category\"===g.type&&(g._categories=m._categories.slice())):k(g,d),T.push(r)}for(s(t,e),n.extendFlat(b,c(e)),v=_.length*x>h?2*(b.sizeAvg||Math.max(b.size,3)):a(e,x),p=0;p<T.length;p++)d=y[r=T[p]],m=i.getFromId(t,e._diag[r][0])||{},g=i.getFromId(t,e._diag[r][1])||{},o(t,e,m,g,_[p],_[p],v);var M=u(t,e);return M.matrix||(M.matrix=!0),M.matrixOptions=b,M.selectedOptions=l(e,e.selected),M.unselectedOptions=l(e,e.unselected),[{x:!1,y:!1,t:{},trace:e}]}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/axis_ids\":853,\"../scatter/calc\":1215,\"../scatter/colorscale_calc\":1217,\"../scattergl/constants\":1268,\"../scattergl/convert\":1269,\"./scene_update\":1319}],1313:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/array_container_defaults\"),a=t(\"./attributes\"),o=t(\"../scatter/subtypes\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../parcoords/merge_length\"),c=t(\"../scattergl/helpers\").isOpenSymbol;function u(t,e){function r(r,i){return n.coerce(t,e,a.dimensions,r,i)}r(\"label\");var i=r(\"values\");i&&i.length?r(\"visible\"):e.visible=!1,r(\"axis.type\"),r(\"axis.matches\")}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,a,r,i)}var p=i(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=h(\"diagonal.visible\"),m=h(\"showupperhalf\"),g=h(\"showlowerhalf\");if(l(e,p,\"values\")&&(d||m||g)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"xhoverformat\"),h(\"yhoverformat\"),s(t,e,r,f,h);var v=c(e.marker.symbol),y=o.isBubble(e);h(\"marker.line.width\",v||y?1:0),function(t,e,r,n){var i,a,o=e.dimensions,s=o.length,l=e.showupperhalf,c=e.showlowerhalf,u=e.diagonal.visible,f=new Array(s),h=new Array(s);for(i=0;i<s;i++){var p=i?i+1:\"\";f[i]=\"x\"+p,h[i]=\"y\"+p}var d=n(\"xaxes\",f),m=n(\"yaxes\",h),g=e._diag=new Array(s);e._xaxes={},e._yaxes={};var v=[],y=[];function x(t,n,i,a){if(t){var o=t.charAt(0),s=r._splomAxes[o];if(e[\"_\"+o+\"axes\"][t]=1,a.push(t),!(t in s)){var l=s[t]={};i&&(l.label=i.label||\"\",i.visible&&i.axis&&(i.axis.type&&(l.type=i.axis.type),i.axis.matches&&(l.matches=n)))}}}var b=!u&&!c,_=!u&&!l;for(e._axesDim={},i=0;i<s;i++){var w=o[i],T=0===i,k=i===s-1,M=T&&b||k&&_?void 0:d[i],A=T&&_||k&&b?void 0:m[i];x(M,A,w,v),x(A,M,w,y),g[i]=[M,A],e._axesDim[M]=i,e._axesDim[A]=i}for(i=0;i<v.length;i++)for(a=0;a<y.length;a++){var S=v[i]+y[a];i>a&&l||i<a&&c?r._splomSubplots[S]=1:i!==a||!u&&c&&l||(r._splomSubplots[S]=1)}(!c||!u&&l&&c)&&(r._splomGridDflt.xside=\"bottom\",r._splomGridDflt.yside=\"left\")}(0,e,f,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},{\"../../lib\":799,\"../../plots/array_container_defaults\":844,\"../parcoords/merge_length\":1185,\"../scatter/marker_defaults\":1233,\"../scatter/subtypes\":1239,\"../scattergl/helpers\":1273,\"./attributes\":1310}],1314:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/colorscale_calc\"),a=t(\"../scattergl/convert\").markerStyle;e.exports=function(t,e){var r=e.trace,o=t._fullLayout._splomScenes[r.uid];if(o){i(t,r),n.extendFlat(o.matrixOptions,a(r));var s=n.extendFlat({},o.matrixOptions,o.viewOpts);o.matrix.update(s,null)}}},{\"../../lib\":799,\"../scatter/colorscale_calc\":1217,\"../scattergl/convert\":1269}],1315:[function(t,e,r){\"use strict\";r.getDimIndex=function(t,e){for(var r=e._id,n={x:0,y:1}[r.charAt(0)],i=t._visibleDims,a=0;a<i.length;a++){var o=i[a];if(t._diag[o][n]===r)return a}return!1}},{}],1316:[function(t,e,r){\"use strict\";var n=t(\"./helpers\"),i=t(\"../scattergl/hover\").calcHover;e.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,c=s.c2p(e),u=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,m,g=o[h],v=o[p],y=f,x=0;x<g.length;x++){var b=g[x],_=v[x],w=s.c2p(b)-c,T=l.c2p(_)-u,k=Math.sqrt(w*w+T*T);k<y&&(y=m=k,d=x)}return t.index=d,t.distance=y,t.dxy=m,void 0===d?[t]:[i(t,g,v,a)]}}},{\"../scattergl/hover\":1274,\"./helpers\":1315}],1317:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../components/grid\");e.exports={moduleType:\"trace\",name:\"splom\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"./select\"),editStyle:t(\"./edit_style\"),meta:{}},n.register(i)},{\"../../components/grid\":706,\"../../registry\":927,\"../scatter/marker_colorbar\":1232,\"./attributes\":1310,\"./base_plot\":1311,\"./calc\":1312,\"./defaults\":1313,\"./edit_style\":1314,\"./hover\":1316,\"./plot\":1318,\"./select\":1320}],1318:[function(t,e,r){\"use strict\";var n=t(\"regl-splom\"),i=t(\"../../lib\"),a=t(\"../../plots/cartesian/axis_ids\"),o=t(\"../../components/dragelement/helpers\").selectMode;function s(t,e){var r,s,l,c,u,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,m=f._splomScenes[p.uid],g=m.matrixOptions,v=g.cdata,y=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==v.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=v.length,w=m.viewOpts={};for(w.ranges=new Array(_),w.domains=new Array(_),u=0;u<b.length;u++){l=b[u];var T=w.ranges[u]=new Array(4),k=w.domains[u]=new Array(4);(r=a.getFromId(t,p._diag[l][0]))&&(T[0]=r._rl[0],T[2]=r._rl[1],k[0]=r.domain[0],k[2]=r.domain[1]),(s=a.getFromId(t,p._diag[l][1]))&&(T[1]=s._rl[0],T[3]=s._rl[1],k[1]=s.domain[0],k[3]=s.domain[1])}w.viewport=[h.l,h.b,h.w+h.l,h.h+h.b],!0===m.matrix&&(m.matrix=n(y));var M=f.clickmode.indexOf(\"select\")>-1,A=!0;if(o(x)||!!p.selectedpoints||M){var S=p._length;if(p.selectedpoints){m.selectBatch=p.selectedpoints;var E=p.selectedpoints,L={};for(l=0;l<E.length;l++)L[E[l]]=!0;var C=[];for(l=0;l<S;l++)L[l]||C.push(l);m.unselectBatch=C}var P=d.xpx=new Array(_),I=d.ypx=new Array(_);for(u=0;u<b.length;u++){if(l=b[u],r=a.getFromId(t,p._diag[l][0]))for(P[u]=new Array(S),c=0;c<S;c++)P[u][c]=r.c2p(v[u][c]);if(s=a.getFromId(t,p._diag[l][1]))for(I[u]=new Array(S),c=0;c<S;c++)I[u][c]=s.c2p(v[u][c])}if(m.selectBatch.length||m.unselectBatch.length){var O=i.extendFlat({},g,m.unselectedOptions,w),z=i.extendFlat({},g,m.selectedOptions,w);m.matrix.update(O,z),A=!1}}else d.xpx=d.ypx=null;if(A){var D=i.extendFlat({},g,w);m.matrix.update(D,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},{\"../../components/dragelement/helpers\":680,\"../../lib\":799,\"../../plots/cartesian/axis_ids\":853,\"regl-splom\":535}],1319:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},{\"../../lib\":799}],1320:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"./helpers\");e.exports=function(t,e){var r=t.cd,o=r[0].trace,s=r[0].t,l=t.scene,c=l.matrixOptions.cdata,u=t.xaxis,f=t.yaxis,h=[];if(!l)return h;var p=!i.hasMarkers(o)&&!i.hasText(o);if(!0!==o.visible||p)return h;var d=a.getDimIndex(o,u),m=a.getDimIndex(o,f);if(!1===d||!1===m)return h;var g=s.xpx[d],v=s.ypx[m],y=c[d],x=c[m],b=[],_=[];if(!1!==e&&!e.degenerate)for(var w=0;w<y.length;w++)e.contains([g[w],v[w]],null,w,t)?(b.push(w),h.push({pointNumber:w,x:y[w],y:x[w]})):_.push(w);var T=l.matrixOptions;return b.length||_.length?l.selectBatch.length||l.unselectBatch.length||l.matrix.update(l.unselectedOptions,n.extendFlat({},T,l.selectedOptions,l.viewOpts)):l.matrix.update(T,null),l.selectBatch=b,l.unselectBatch=_,h}},{\"../../lib\":799,\"../scatter/subtypes\":1239,\"./helpers\":1315}],1321:[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={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\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),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 norm\",showScaleDflt:!0,editTypeOverride:\"calc\"}));[\"opacity\",\"lightposition\",\"lighting\"].forEach((function(t){c[t]=o[t]})),c.hoverinfo=l({},s.hoverinfo,{editType:\"calc\",flags:[\"x\",\"y\",\"z\",\"u\",\"v\",\"w\",\"norm\",\"divergence\",\"text\",\"name\"],dflt:\"x+y+z+norm+text+name\"}),c.transforms=void 0,e.exports=c},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../mesh3d/attributes\":1155}],1322:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/calc\");function a(t){var e,r,i,a,s,l,c,u,f,h,p,d,m=t._x,g=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,M=\"\";for(y&&(c=m[0],f=g[0],p=v[0]),y>1&&(u=m[y-1],h=g[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,m[e]),b=Math.min(b,m[e]),_=Math.max(_,g[e]),w=Math.min(w,g[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||m[e]===c||(a=!0,M+=\"x\"),s||g[e]===f||(s=!0,M+=\"y\"),l||v[e]===p||(l=!0,M+=\"z\");a||(M+=\"x\"),s||(M+=\"y\"),l||(M+=\"z\");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(f>h?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var L=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?m:\"y\"===t?g:v},P=function(t){return\"x\"===t?A:\"y\"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(M[1]),z=C(M[3]),D=C(M[5]),R=P(M[1]).length,F=P(M[3]).length,B=P(M[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=I(C(M[1])),V=I(C(M[3])),q=I(C(M[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),Y=j(e,r+1,i),W=j(e+1,r,i);if(O[H]*U<O[G]*U&&z[H]*V<z[Y]*V&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! Unable to input data grid.\"),L()),{xMin:b,yMin:w,zMin:k,xMax:x,yMax:_,zMax:T,Xs:A,Ys:S,Zs:E,len:y,fill:M}}function o(t){return n.distinctVals(t).vals}function s(t,e){if(void 0===e&&(e=t.length),n.isTypedArray(t))return t.subarray(0,e);for(var r=[],i=0;i<e;i++)r[i]=+t[i];return r}e.exports={calc:function(t,e){e._len=Math.min(e.u.length,e.v.length,e.w.length,e.x.length,e.y.length,e.z.length),e._u=s(e.u,e._len),e._v=s(e.v,e._len),e._w=s(e.w,e._len),e._x=s(e.x,e._len),e._y=s(e.y,e._len),e._z=s(e.z,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;var n,o,l,c=0;e.starts&&(n=s(e.starts.x||[]),o=s(e.starts.y||[]),l=s(e.starts.z||[]),c=Math.min(n.length,o.length,l.length)),e._startsX=n||[],e._startsY=o||[],e._startsZ=l||[];var u,f=0,h=1/0;for(u=0;u<e._len;u++){var p=e._u[u],d=e._v[u],m=e._w[u],g=Math.sqrt(p*p+d*d+m*m);f=Math.max(f,g),h=Math.min(h,g)}for(i(t,e,{vals:[h,f],containerStr:\"\",cLetter:\"c\"}),u=0;u<c;u++){var v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{\"../../components/colorscale/calc\":670,\"../../lib\":799}],1323:[function(t,e,r){\"use strict\";var n=t(\"gl-streamtube3d\"),i=n.createTubeMesh,a=t(\"../../lib\"),o=t(\"../../lib/gl_format_color\").parseColorScale,s=t(\"../../components/colorscale\").extractOpts,l=t(\"../../plots/gl3d/zip3\"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,\"xaxis\"),d(e._v,\"yaxis\"),d(e._w,\"zaxis\"),u),!u)return{positions:[],cells:[]};var m=d(e._Xs,\"xaxis\"),g=d(e._Ys,\"yaxis\"),v=d(e._Zs,\"zaxis\");if(f.meshgrid=[m,g,v],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,\"xaxis\"),d(e._startsY,\"yaxis\"),d(e._startsZ,\"zaxis\"));else{for(var y=g[0],x=h(m),b=h(v),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],y,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var M=d(e._xbnds,\"xaxis\"),A=d(e._ybnds,\"yaxis\"),S=d(e._zbnds,\"zaxis\"),E=p(m),L=p(g),C=p(v),P=[[M[0]-E[0],A[0]-L[0],S[0]-C[0]],[M[1]+E[1],A[1]+L[1],S[1]+C[1]]],I=n(f,P),O=s(e);I.vertexIntensityBounds=[O.min/e._normMax,O.max/e._normMax];var z=e.lightposition;return I.lightPosition=[z.x,z.y,z.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{\"../../components/colorscale\":674,\"../../lib\":799,\"../../lib/gl_format_color\":795,\"../../plots/gl3d/zip3\":903,\"gl-streamtube3d\":348}],1324:[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(\"u\"),c=s(\"v\"),u=s(\"w\"),f=s(\"x\"),h=s(\"y\"),p=s(\"z\");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s(\"starts.x\"),s(\"starts.y\"),s(\"starts.z\"),s(\"maxdisplayed\"),s(\"sizeref\"),s(\"lighting.ambient\"),s(\"lighting.diffuse\"),s(\"lighting.specular\"),s(\"lighting.roughness\"),s(\"lighting.fresnel\"),s(\"lightposition.x\"),s(\"lightposition.y\"),s(\"lightposition.z\"),i(t,e,o,s,{prefix:\"\",cLetter:\"c\"}),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"uhoverformat\"),s(\"vhoverformat\"),s(\"whoverformat\"),s(\"xhoverformat\"),s(\"yhoverformat\"),s(\"zhoverformat\"),e._length=null):e.visible=!1}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"./attributes\":1321}],1325:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"streamtube\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"showLegend\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:{min:\"cmin\",max:\"cmax\"},calc:t(\"./calc\").calc,plot:t(\"./convert\"),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":892,\"./attributes\":1321,\"./calc\":1322,\"./convert\":1323,\"./defaults\":1324}],1326:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],extras:[\"none\"],editType:\"plot\"},texttemplate:a({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:l.hovertext,hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"name\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],dflt:\"label+text+value+name\"}),hovertemplate:i({},{keys:c.eventDataKeys}),textfont:l.textfont,insidetextorientation:l.insidetextorientation,insidetextfont:l.insidetextfont,outsidetextfont:u({},l.outsidetextfont,{}),rotation:{valType:\"angle\",dflt:0,editType:\"plot\"},sort:l.sort,root:{color:{valType:\"color\",editType:\"calc\",dflt:\"rgba(0,0,0,0)\"},editType:\"calc\"},domain:s({name:\"sunburst\",trace:!0,editType:\"calc\"})}},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/domain\":877,\"../../plots/template_attributes\":922,\"../pie/attributes\":1188,\"./constants\":1329}],1327:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"sunburst\",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\":913}],1328:[function(t,e,r){\"use strict\";var n=t(\"d3-hierarchy\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../components/colorscale\").makeColorScaleFuncFromTrace,s=t(\"../pie/calc\").makePullColorFn,l=t(\"../pie/calc\").generateExtendedColors,c=t(\"../../components/colorscale\").calc,u=t(\"../../constants/numerical\").ALMOST_EQUAL,f={},h={},p={};r.calc=function(t,e){var r,l,f,h,p,d,m=t._fullLayout,g=e.ids,v=a.isArrayOrTypedArray(g),y=e.labels,x=e.parents,b=e.values,_=a.isArrayOrTypedArray(b),w=[],T={},k={},M=function(t){return t||\"number\"==typeof t},A=function(t){return!_||i(b[t])&&b[t]>=0};v?(r=Math.min(g.length,x.length),l=function(t){return M(g[t])&&A(t)},f=function(t){return String(g[t])}):(r=Math.min(y.length,x.length),l=function(t){return M(y[t])&&A(t)},f=function(t){return String(y[t])}),_&&(r=Math.min(r,b.length));for(var S=0;S<r;S++)if(l(S)){var E=f(S),L=M(x[S])?String(x[S]):\"\",C={i:S,id:E,pid:L,label:M(y[S])?String(y[S]):\"\"};_&&(C.v=+b[S]),w.push(C),p=E,T[h=L]?T[h].push(p):T[h]=[p],k[p]=1}if(T[\"\"]){if(T[\"\"].length>1){for(var P=a.randstr(),I=0;I<w.length;I++)\"\"===w[I].pid&&(w[I].pid=P);w.unshift({hasMultipleRoots:!0,id:P,pid:\"\",label:\"\"})}}else{var O,z=[];for(O in T)k[O]||z.push(O);if(1!==z.length)return a.warn([\"Multiple implied roots, cannot build\",e.type,\"hierarchy of\",e.name+\".\",\"These roots include:\",z.join(\", \")].join(\" \"));O=z[0],w.unshift({hasImpliedRoot:!0,id:O,pid:\"\",label:O})}try{d=n.stratify().id((function(t){return t.id})).parentId((function(t){return t.pid}))(w)}catch(t){return a.warn([\"Failed to build\",e.type,\"hierarchy of\",e.name+\".\",\"Error:\",t.message].join(\" \"))}var D=n.hierarchy(d),R=!1;if(_)switch(e.branchvalues){case\"remainder\":D.sum((function(t){return t.data.v}));break;case\"total\":D.each((function(t){var r=t.data.data,n=r.v;if(t.children){var i=t.children.reduce((function(t,e){return t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*u)return R=!0,a.warn([\"Total value for node\",t.data.data.id,\"of\",e.name,\"is smaller than the sum of its children.\",\"\\nparent value =\",n,\"\\nchildren sum =\",i].join(\" \"))}t.value=n}))}else!function t(e,r,n){var i=0,a=e.children;if(a){for(var o=a.length,s=0;s<o;s++)i+=t(a[s],r,n);n.branches&&i++}else n.leaves&&i++;e.value=e.data.data.value=i,r._values||(r._values=[]);return r._values[e.data.data.i]=i,i}(D,e,{branches:-1!==e.count.indexOf(\"branches\"),leaves:-1!==e.count.indexOf(\"leaves\")});if(!R){var F,B;e.sort&&D.sort((function(t,e){return e.value-t.value}));var N=e.marker.colors||[],j=!!N.length;return e._hasColorscale?(j||(N=_?e.values:e._values),c(t,e,{vals:N,containerStr:\"marker\",cLetter:\"c\"}),B=o(e.marker)):F=s(m[\"_\"+e.type+\"colormap\"]),D.each((function(t){var r=t.data.data;r.color=e._hasColorscale?B(N[r.i]):F(N[r.i],r.id)})),w[0].hierarchy=D,w}},r._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+\"colorway\"],a=r[\"_\"+t+\"colormap\"];r[\"extend\"+t+\"colors\"]&&(i=l(i,\"icicle\"===t?p:\"treemap\"===t?h:f));var o,s=0;function c(t){var e=t.data.data,r=e.id;!1===e.color&&(a[r]?e.color=a[r]:t.parent?t.parent.parent?e.color=t.parent.data.data.color:(a[r]=e.color=i[s%i.length],s++):e.color=o)}for(var u=0;u<n.length;u++){var d=n[u][0];d.trace.type===t&&d.hierarchy&&(o=d.trace.root.color,d.hierarchy.each(c))}},r.crossTraceCalc=function(t){return r._runCrossTraceCalc(\"sunburst\",t)}},{\"../../components/colorscale\":674,\"../../constants/numerical\":775,\"../../lib\":799,\"../pie/calc\":1190,\"d3-hierarchy\":167,\"fast-isnumeric\":245}],1329:[function(t,e,r){\"use strict\";e.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:\"linear\",eventDataKeys:[\"currentPath\",\"root\",\"entry\",\"percentRoot\",\"percentEntry\",\"percentParent\"]}},{}],1330:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../../components/colorscale\"),l=s.hasColorscale,c=s.handleDefaults;e.exports=function(t,e,r,s){function u(r,a){return n.coerce(t,e,i,r,a)}var f=u(\"labels\"),h=u(\"parents\");if(f&&f.length&&h&&h.length){var p=u(\"values\");p&&p.length?u(\"branchvalues\"):u(\"count\"),u(\"level\"),u(\"maxdepth\"),u(\"marker.line.width\")&&u(\"marker.line.color\",s.paper_bgcolor),u(\"marker.colors\");var d=e._hasColorscale=l(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;d&&c(t,e,s,u,{prefix:\"marker.\",cLetter:\"c\"}),u(\"leaf.opacity\",d?1:.7);var m=u(\"text\");u(\"texttemplate\"),e.texttemplate||u(\"textinfo\",Array.isArray(m)?\"text+label\":\"label\"),u(\"hovertext\"),u(\"hovertemplate\");o(t,e,s,u,\"auto\",{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),u(\"insidetextorientation\"),u(\"sort\"),u(\"rotation\"),u(\"root.color\"),a(e,s,u),e._length=null}else e.visible=!1}},{\"../../components/colorscale\":674,\"../../lib\":799,\"../../plots/domain\":877,\"../bar/defaults\":941,\"./attributes\":1326}],1331:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../components/fx/helpers\").appendArrayPointValue,o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=t(\"../../lib/events\"),c=t(\"./helpers\"),u=t(\"../pie/helpers\").formatPieValue;function f(t,e,r){for(var n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return\"parentString\"in t&&!c.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}e.exports=function(t,e,r,a,h){var p=a[0],d=p.trace,m=p.hierarchy,g=\"sunburst\"===d.type,v=\"treemap\"===d.type||\"icicle\"===d.type;\"_hasHoverLabel\"in d||(d._hasHoverLabel=!1),\"_hasHoverEvent\"in d||(d._hasHoverEvent=!1);t.on(\"mouseover\",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l=r._fullData[d.index],y=i.data.data,x=y.i,b=c.isHierarchyRoot(i),_=c.getParent(m,i),w=c.getValue(i),T=function(t){return s.castOption(l,x,t)},k=T(\"hovertemplate\"),M=o.castHoverinfo(l,a,x),A=a.separators;if(k||M&&\"none\"!==M&&\"skip\"!==M){var S,E;g&&(S=p.cx+i.pxmid[0]*(1-i.rInscribed),E=p.cy+i.pxmid[1]*(1-i.rInscribed)),v&&(S=i._hoverX,E=i._hoverY);var L,C={},P=[],I=[],O=function(t){return-1!==P.indexOf(t)};M&&(P=\"all\"===M?l._module.attributes.hoverinfo.flags:M.split(\"+\")),C.label=y.label,O(\"label\")&&C.label&&I.push(C.label),y.hasOwnProperty(\"v\")&&(C.value=y.v,C.valueLabel=u(C.value,A),O(\"value\")&&I.push(C.valueLabel)),C.currentPath=i.currentPath=c.getPath(i.data),O(\"current path\")&&!b&&I.push(C.currentPath);var z=[],D=function(){-1===z.indexOf(L)&&(I.push(L),z.push(L))};C.percentParent=i.percentParent=w/c.getValue(_),C.parent=i.parentString=c.getPtLabel(_),O(\"percent parent\")&&(L=c.formatPercent(C.percentParent,A)+\" of \"+C.parent,D()),C.percentEntry=i.percentEntry=w/c.getValue(e),C.entry=i.entry=c.getPtLabel(e),!O(\"percent entry\")||b||i.onPathbar||(L=c.formatPercent(C.percentEntry,A)+\" of \"+C.entry,D()),C.percentRoot=i.percentRoot=w/c.getValue(m),C.root=i.root=c.getPtLabel(m),O(\"percent root\")&&!b&&(L=c.formatPercent(C.percentRoot,A)+\" of \"+C.root,D()),C.text=T(\"hovertext\")||T(\"text\"),O(\"text\")&&(L=C.text,s.isValidTextValue(L)&&I.push(L));var R={trace:l,y:E,text:I.join(\"<br>\"),name:k||O(\"name\")?l.name:void 0,color:T(\"hoverlabel.bgcolor\")||y.color,borderColor:T(\"hoverlabel.bordercolor\"),fontFamily:T(\"hoverlabel.font.family\"),fontSize:T(\"hoverlabel.font.size\"),fontColor:T(\"hoverlabel.font.color\"),nameLength:T(\"hoverlabel.namelength\"),textAlign:T(\"hoverlabel.align\"),hovertemplate:k,hovertemplateLabels:C,eventData:[f(i,l,h.eventDataKeys)]};g&&(R.x0=S-i.rInscribed*i.rpx1,R.x1=S+i.rInscribed*i.rpx1,R.idealAlign=i.pxmid[0]<0?\"left\":\"right\"),v&&(R.x=S,R.idealAlign=S<0?\"left\":\"right\"),o.loneHover(R,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r}),d._hasHoverLabel=!0}if(v){var F=t.select(\"path.surface\");h.styleOne(F,i,l,{hovered:!0})}d._hasHoverEvent=!0,r.emit(\"plotly_hover\",{points:[f(i,l,h.eventDataKeys)],event:n.event})}})),t.on(\"mouseout\",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit(\"plotly_unhover\",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),v){var l=t.select(\"path.surface\");h.styleOne(l,s,a,{hovered:!1})}})),t.on(\"click\",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(c.isHierarchyRoot(t)||c.isLeaf(t)),u=c.getPtId(t),p=c.isEntry(t)?c.findEntryWithChild(m,u):c.findEntryWithLevel(m,u),v=c.getPtId(p),y={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(y.nextLevel=v);var x=l.triggerHandler(r,\"plotly_\"+d.type+\"click\",y);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call(\"_storeDirectGUIEdit\",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:v}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:\"immediate\",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call(\"animate\",r,b,_)}}))}},{\"../../components/fx\":702,\"../../components/fx/helpers\":698,\"../../lib\":799,\"../../lib/events\":788,\"../../registry\":927,\"../pie/helpers\":1193,\"./helpers\":1332,\"@plotly/d3\":58}],1332:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../lib/setcursor\"),o=t(\"../pie/helpers\");function s(t){return t.data.data.pid}r.findEntryWithLevel=function(t,e){var n;return e&&t.eachAfter((function(t){if(r.getPtId(t)===e)return n=t.copy()})),n||t},r.findEntryWithChild=function(t,e){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a<i.length;a++){var o=i[a];if(r.getPtId(o)===e)return n=t.copy()}})),n||t},r.isEntry=function(t){return!t.parent},r.isLeaf=function(t){return!t.children},r.getPtId=function(t){return t.data.data.id},r.getPtLabel=function(t){return t.data.data.label},r.getValue=function(t){return t.value},r.isHierarchyRoot=function(t){return\"\"===s(t)},r.setSliceCursor=function(t,e,n){var i=n.isTransitioning;if(!i){var o=t.datum();i=n.hideOnRoot&&r.isHierarchyRoot(o)||n.hideOnLeaves&&r.isLeaf(o)}a(t,i?null:\"pointer\")},r.getInsideTextFontKey=function(t,e,r,i,a){var o=(a||{}).onPathbar?\"pathbar.textfont\":\"insidetextfont\",s=r.data.data.i;return n.castOption(e,s,o+\".\"+t)||n.castOption(e,s,\"textfont.\"+t)||i.size},r.getOutsideTextFontKey=function(t,e,r,i){var a=r.data.data.i;return n.castOption(e,a,\"outsidetextfont.\"+t)||n.castOption(e,a,\"textfont.\"+t)||i.size},r.isOutsideText=function(t,e){return!t._hasColorscale&&r.isHierarchyRoot(e)},r.determineTextFont=function(t,e,a,o){return r.isOutsideText(t,e)?function(t,e,n){return{color:r.getOutsideTextFontKey(\"color\",t,e,n),family:r.getOutsideTextFontKey(\"family\",t,e,n),size:r.getOutsideTextFontKey(\"size\",t,e,n)}}(t,e,a):function(t,e,a,o){var s=(o||{}).onPathbar,l=e.data.data,c=l.i,u=n.castOption(t,c,(s?\"pathbar.textfont\":\"insidetextfont\")+\".color\");return!u&&t._input.textfont&&(u=n.castOption(t._input,c,\"textfont.color\")),{color:u||i.contrast(l.color),family:r.getInsideTextFontKey(\"family\",t,e,a,o),size:r.getInsideTextFontKey(\"size\",t,e,a,o)}}(t,e,a,o)},r.hasTransition=function(t){return!!(t&&t.duration>0)},r.getMaxDepth=function(t){return t.maxdepth>=0?t.maxdepth:1/0},r.isHeader=function(t,e){return!(r.isLeaf(t)||t.depth===e._maxDepth-1)},r.getParent=function(t,e){return r.findEntryWithLevel(t,s(e))},r.listPath=function(t,e){var n=t.parent;if(!n)return[];var i=e?[n.data[e]]:[n];return r.listPath(n,e).concat(i)},r.getPath=function(t){return r.listPath(t,\"label\").join(\"/\")+\"/\"},r.formatValue=o.formatPieValue,r.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},{\"../../components/color\":662,\"../../lib\":799,\"../../lib/setcursor\":820,\"../pie/helpers\":1193}],1333:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:t(\"./base_plot\"),categories:[],animatable:!0,attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\").style,colorbar:t(\"../scatter/marker_colorbar\"),meta:{}}},{\"../scatter/marker_colorbar\":1232,\"./attributes\":1326,\"./base_plot\":1327,\"./calc\":1328,\"./defaults\":1330,\"./layout_attributes\":1334,\"./layout_defaults\":1335,\"./plot\":1336,\"./style\":1337}],1334:[function(t,e,r){\"use strict\";e.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1335:[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(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},{\"../../lib\":799,\"./layout_attributes\":1334}],1336:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-hierarchy\"),a=t(\"../../components/drawing\"),o=t(\"../../lib\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../bar/uniform_text\"),c=l.recordMinTextSize,u=l.clearMinTextSize,f=t(\"../pie/plot\"),h=t(\"../pie/helpers\").getRotationAngle,p=f.computeTransform,d=f.transformInsideText,m=t(\"./style\").styleOne,g=t(\"../bar/style\").resizeText,v=t(\"./fx\"),y=t(\"./constants\"),x=t(\"./helpers\");function b(t,e,l,u){var f=t._fullLayout,g=!f.uniformtext.mode&&x.hasTransition(u),b=n.select(l).selectAll(\"g.slice\"),w=e[0],T=w.trace,k=w.hierarchy,M=x.findEntryWithLevel(k,T.level),A=x.getMaxDepth(T),S=f._size,E=T.domain,L=S.w*(E.x[1]-E.x[0]),C=S.h*(E.y[1]-E.y[0]),P=.5*Math.min(L,C),I=w.cx=S.l+S.w*(E.x[1]+E.x[0])/2,O=w.cy=S.t+S.h*(1-E.y[0])-C/2;if(!M)return b.remove();var z=null,D={};g&&b.each((function(t){D[x.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!z&&x.isEntry(t)&&(z=t)}));var R=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),F=M.height+1,B=0,N=A;w.hasMultipleRoots&&x.isHierarchyRoot(M)&&(R=R.slice(1),F-=1,B=1,N+=1),R=R.filter((function(t){return t.y1<=N}));var j=h(T.rotation);j&&R.forEach((function(t){t.x0+=j,t.x1+=j}));var U=Math.min(F,A),V=function(t){return(t-B)/U*P},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},H=function(t){return o.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,I,O)},G=function(t){return I+_(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},Y=function(t){return O+_(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(b=b.data(R,x.getPtId)).enter().append(\"g\").classed(\"slice\",!0),g?b.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=x.getPtId(t),i=D[r],a=D[x.getPtId(M)];if(a){var o=(t.x1>a.x1?2*Math.PI:0)+j;e=t.rpx1<a.rpx1?{rpx0:0,rpx1:0}:{x0:o,x1:o}}else{var s,l=x.getPtId(t.parent);b.each((function(t){if(x.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(x.getPtId(t)===r)return c=e}));var f=u.length,h=n.interpolate(s.x0,s.x1);e={rpx0:P,rpx1:P,x0:h(c/f),x1:h((c+1)/f)}}return n.interpolate(i,e)}(t);return function(t){return H(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():b.exit().remove(),b.order();var W=null;if(g&&z){var X=x.getPtId(z);b.each((function(t){null===W&&x.getPtId(t)===X&&(W=t.x1)}))}var Z=b;function J(t){var e=t.parent,r=D[x.getPtId(e)],i={};if(r){var a=e.children,o=a.indexOf(t),s=a.length,l=n.interpolate(r.x0,r.x1);i.x0=l(o/s),i.x1=l(o/s)}else i.x0=i.x1=0;return i}g&&(Z=Z.transition().each(\"end\",(function(){var e=n.select(this);x.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),Z.each((function(i){var l=n.select(this),u=o.ensureSingle(l,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));i.rpx0=V(i.y0),i.rpx1=V(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(o.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&o.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),g?u.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(z)if(t.parent)if(W){var a=(t.x1>W?2*Math.PI:0)+j;e={x0:a,x1:a}}else e={rpx0:P,rpx1:P},o.extendFlat(e,J(t));else e={rpx0:0,rpx1:0};else e={x0:j,x1:j};return n.interpolate(e,i)}(t);return function(t){return H(e(t))}})):u.attr(\"d\",H),l.call(v,M,t,e,{eventDataKeys:y.eventDataKeys,transitionTime:y.CLICK_TRANSITION_TIME,transitionEasing:y.CLICK_TRANSITION_EASING}).call(x.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),u.call(m,i,T);var h=o.ensureSingle(l,\"g\",\"slicetext\"),b=o.ensureSingle(h,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),_=o.ensureUniformFontSize(t,x.determineTextFont(T,i,f.font));b.text(r.formatSliceLabel(i,M,T,e,f)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(a.font,_).call(s.convertToTspans,t);var k=a.bBox(b.node());i.transform=d(k,i,w),i.transform.targetX=G(i),i.transform.targetY=Y(i);var A=function(t,e){var r=t.transform;return p(r,e),r.fontSize=_.size,c(T.type,r,f),o.getTextTransform(r)};g?b.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:i.textPosAngle,scale:0,rotate:i.rotate,rCenter:i.rCenter,x:i.x,y:i.y}},z)if(t.parent)if(W){var a=t.x1>W?2*Math.PI:0;e.x0=e.x1=a}else o.extendFlat(e,J(t));else e.x0=e.x1=j;else e.x0=e.x1=j;var s=n.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=n.interpolate(e.rpx1,t.rpx1),u=n.interpolate(e.x0,t.x0),h=n.interpolate(e.x1,t.x1),p=n.interpolate(e.transform.scale,i.scale),d=n.interpolate(e.transform.rotate,i.rotate),m=0===i.rCenter?3:0===e.transform.rCenter?1/3:1,g=n.interpolate(e.transform.rCenter,i.rCenter);return function(t){var e=l(t),r=u(t),n=h(t),a=function(t){return g(Math.pow(t,m))}(t),o={pxmid:q(e,(r+n)/2),rpx1:e,transform:{textPosAngle:s(t),rCenter:a,x:i.x,y:i.y}};return c(T.type,i,f),{transform:{targetX:G(o),targetY:Y(o),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return A(e(t),k)}})):b.attr(\"transform\",A(i,k))}))}function _(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,f=!s.uniformtext.mode&&x.hasTransition(r);(u(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),f)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,s=r.textinfo;if(!(a||s&&\"none\"!==s))return\"\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=x.isHierarchyRoot(t),p=x.getParent(f,t),d=x.getValue(t);if(!a){var m,g=s.split(\"+\"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v(\"label\")&&u.label&&y.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&y.push(x.formatValue(u.v,l)),!h){v(\"current path\")&&y.push(x.getPath(t.data));var b=0;v(\"percent parent\")&&b++,v(\"percent entry\")&&b++,v(\"percent root\")&&b++;var _=b>1;if(b){var w,T=function(t){m=x.formatPercent(w,l),_&&(m+=\" of \"+t),y.push(m)};v(\"percent parent\")&&!h&&(w=d/x.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/x.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/x.getValue(f),T(\"root\"))}}return v(\"text\")&&(m=o.castOption(r,u.i,\"text\"),o.isValidTextValue(m)&&y.push(m)),y.join(\"<br>\")}var k=o.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=x.formatValue(u.v,l)),M.currentPath=x.getPath(t.data),h||(M.percentParent=d/x.getValue(p),M.percentParentLabel=x.formatPercent(M.percentParent,l),M.parent=x.getPtLabel(p)),M.percentEntry=d/x.getValue(e),M.percentEntryLabel=x.formatPercent(M.percentEntry,l),M.entry=x.getPtLabel(e),M.percentRoot=d/x.getValue(f),M.percentRootLabel=x.formatPercent(M.percentRoot,l),M.root=x.getPtLabel(f),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,i._d3locale,M,r._meta||{})}},{\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../bar/style\":951,\"../bar/uniform_text\":953,\"../pie/helpers\":1193,\"../pie/plot\":1197,\"./constants\":1329,\"./fx\":1331,\"./helpers\":1332,\"./style\":1337,\"@plotly/d3\":58,\"d3-hierarchy\":167}],1337:[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\":662,\"../../lib\":799,\"../bar/uniform_text\":953,\"@plotly/d3\":58}],1338:[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\":662,\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922}],1339:[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\":670}],1340:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),i=t(\"ndarray\"),a=t(\"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 M=[!0,!0,!0],A=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[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=M,p.enableHighlight=M,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}},{\"../../components/colorscale\":674,\"../../lib\":799,\"../../lib/gl_format_color\":795,\"../../lib/str2rgbarray\":823,\"../heatmap/find_empties\":1087,\"../heatmap/interp2d\":1090,\"gl-surface3d\":350,ndarray:479,\"ndarray-linear-interpolate\":473}],1341:[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 i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h(\"x\"),d=h(\"y\"),m=h(\"z\");if(!m||!m.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?m.length:m[0].length,e._ylength=m.length,n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],c),h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"xhoverformat\"),h(\"yhoverformat\"),h(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach((function(t){h(t)}));var g=h(\"surfacecolor\"),v=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var y=\"contours.\"+v[u],x=h(y+\".show\"),b=h(y+\".highlight\");if(x||b)for(f=0;f<3;++f)h(y+\".project.\"+v[f]);x&&(h(y+\".color\"),h(y+\".width\"),h(y+\".usecolormap\")),b&&(h(y+\".highlightcolor\"),h(y+\".highlightwidth\")),h(y+\".start\"),h(y+\".end\"),h(y+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,c,h,{prefix:\"\",cLetter:\"c\"}),s(t,e,c,h),e._length=null}},opacityscaleDefaults:s}},{\"../../components/colorscale/defaults\":672,\"../../lib\":799,\"../../registry\":927,\"./attributes\":1338}],1342:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:t(\"./calc\"),plot:t(\"./convert\"),moduleType:\"trace\",name:\"surface\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},{\"../../plots/gl3d\":892,\"./attributes\":1338,\"./calc\":1339,\"./convert\":1340,\"./defaults\":1341}],1343:[function(t,e,r){\"use strict\";var n=t(\"../../components/annotations/attributes\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers;(e.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))}},\"calc\",\"from-root\")).transforms=void 0},{\"../../components/annotations/attributes\":645,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/domain\":877,\"../../plots/font_attributes\":878}],1344:[function(t,e,r){\"use strict\";var n=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\");r.name=\"table\",r.plot=function(t){var e=n(t.calcdata,\"table\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"table\"),a=e._has&&e._has(\"table\");i&&!a&&n._paperdiv.selectAll(\".table\").remove()}},{\"../../plots/get_data\":887,\"./plot\":1351}],1345:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap;e.exports=function(){return n({})}},{\"../../lib/gup\":796}],1346:[function(t,e,r){\"use strict\";e.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\\$.*\\$$/,goldenRatio:1.618,lineBreaker:\"<br>\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" \",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1347:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var m=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),g=e.domain,v=Math.floor(t._fullLayout._size.w*(g.x[1]-g.x[0])),y=Math.floor(t._fullLayout._size.h*(g.y[1]-g.y[0])),x=e.header.values.length?m[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),M={},A=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=m.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:A,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\"__\"+M[t],label:t,specIndex:e,xIndex:A[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":789,\"./constants\":1346,\"fast-isnumeric\":245}],1348:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> ]/)?\"_keybuster_\"+Math.random():\"\"),key:e[0]+n,column:t,calcdata:t.calcdata,page:t.page,rowBlocks:t.rowBlocks,value:r}}))}},{\"../../lib/extend\":789}],1349:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults;e.exports=function(t,e,r,o){function s(r,a){return n.coerce(t,e,i,r,a)}a(e,o,s),s(\"columnwidth\"),s(\"header.values\"),s(\"header.format\"),s(\"header.align\"),s(\"header.prefix\"),s(\"header.suffix\"),s(\"header.height\"),s(\"header.line.width\"),s(\"header.line.color\"),s(\"header.fill.color\"),n.coerceFont(s,\"header.font\",n.extendFlat({},o.font)),function(t,e){for(var r=t.columnorder||[],n=t.header.values.length,i=r.slice(0,n),a=i.slice().sort((function(t,e){return t-e})),o=i.map((function(t){return a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},{\"../../lib\":799,\"../../plots/domain\":877,\"./attributes\":1343}],1350:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1343,\"./base_plot\":1344,\"./calc\":1345,\"./defaults\":1349,\"./plot\":1351}],1351:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\"),o=t(\"../../components/drawing\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../../lib\").raiseToTop,c=t(\"../../lib\").strTranslate,u=t(\"../../lib\").cancelTransition,f=t(\"./data_preparation_helper\"),h=t(\"./data_split_helpers\"),p=t(\"../../components/color\");function d(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function v(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function y(t,e,r){var o=t.selectAll(\".\"+n.cn.scrollbarKit).data(a.repeat,a.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),o.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?D(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-A(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,A(t))}));var s=o.selectAll(\".\"+n.cn.scrollbar).data(a.repeat,a.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(a.repeat,a.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(a.repeat,a.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(a.repeat,a.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||E(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",E(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function x(t,e,r,s){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(h.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(a.repeat,a.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:w(r.size,n,e),color:w(r.color,n,e),family:w(r.family,n,e)};t.rowNumber=t.key,t.align=w(t.calcdata.cells.align,n,e),t.cellBorderWidth=w(t.calcdata.cells.line.width,n,e),t.font=i}))}(l),function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);p.stroke(e,w(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),p.fill(e,w(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(a.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(l));var c=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(a.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(a.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(l));!function(t){t.each((function(t){o.font(i.select(this),t.font)}))}(c),b(c,e,s,t),O(l)}function b(t,e,r,a){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,a=t.value,o=\"string\"==typeof a,s=o&&a.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&a.match(/[<&>]/);var c,u=\"string\"==typeof(c=a)&&c.match(n.latexCheck);t.latex=u;var f,h,p=u?\"\":w(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":w(t.calcdata.cells.suffix,e,r)||\"\",m=u?null:w(t.calcdata.cells.format,e,r)||null,g=p+(m?i.format(m)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=_(g)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?_(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?g.replace(/<a href=/gi,\"<a_href=\"):g).split(n.wrapSplitCharacter),y=\" \"===n.wrapSplitCharacter?v.map((function(t){return t.replace(/<a_href=/gi,\"<a href=\")})):v;t.fragments=y.map((function(t){return{text:t,width:null}})),t.fragments.push({fragment:n.wrapSpacer,width:null}),h=y.join(n.lineBreaker)+n.lineBreaker+n.wrapSpacer}else delete t.fragments,h=g;return h})).attr(\"dy\",(function(t){return t.needsConvertToTspans?0:\"0.75em\"})).each((function(t){var o=i.select(this),l=t.wrappingNeeded?C:P;t.needsConvertToTspans?s.convertToTspans(o,a,l(r,this,e,a,t)):i.select(this.parentNode).attr(\"transform\",(function(t){return c(I(t),n.cellPad)})).attr(\"text-anchor\",(function(t){return{left:\"start\",center:\"middle\",right:\"end\"}[t.align]}))}))}function _(t){return-1!==t.indexOf(n.wrapSplitCharacter)}function w(t,e,r){if(Array.isArray(t)){var n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function T(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function k(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function A(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+D(e,1/0)}),0)}function S(t,e,r){var n=v(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-A(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(L(t,r,e,u,n.prevPages,n,0),L(t,r,e,u,n.prevPages,n,1),y(r,t))}}function E(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(k);return S(t,f,l),s.scrollY===u}}function L(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));x(t,e,a,r),i[o]=n[o]})))}function C(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),b(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(O)}}function P(t,e,r,a,o){return function(){if(!o.settledY){var s=i.select(e.parentNode),l=F(o),u=o.key-l.firstRowIndex,f=l.rows[u].rowHeight,h=o.cellHeightMayIncrease?e.parentNode.getBoundingClientRect().height+2*n.cellPad:f,p=Math.max(h,f);p-l.rows[u].rowHeight&&(l.rows[u].rowHeight=p,t.selectAll(\".\"+n.cn.columnCell).call(O),S(null,t.filter(k),0),y(r,a,!0)),s.attr(\"transform\",(function(){var t=this.parentNode.getBoundingClientRect(),e=i.select(this.parentNode).select(\".\"+n.cn.cellRect).node().getBoundingClientRect(),r=this.transform.baseVal.consolidate(),a=e.top-t.top+(r?r.matrix.f:n.cellPad);return c(I(o,i.select(this.parentNode).select(\".\"+n.cn.cellTextHolder).node().getBoundingClientRect().width),a)})),o.settledY=!0}}}function I(t,e){switch(t.align){case\"left\":return n.cellPad;case\"right\":return t.column.columnWidth-(e||0)-n.cellPad;case\"center\":return(t.column.columnWidth-(e||0))/2;default:return n.cellPad}}function O(t){t.attr(\"transform\",(function(t){var e=t.rowBlocks[0].auxiliaryBlocks.reduce((function(t,e){return t+D(e,1/0)}),0),r=D(F(t),t.key);return c(0,r+e)})).selectAll(\".\"+n.cn.cellRect).attr(\"height\",(function(t){return(e=F(t),r=t.key,e.rows[r-e.firstRowIndex]).rowHeight;var e,r}))}function z(t,e){for(var r=0,n=e-1;n>=0;n--)r+=R(t[n]);return r}function D(t,e){for(var r=0,n=0;n<t.rows.length&&t.rows[n].rowIndex<e;n++)r+=t.rows[n].rowHeight;return r}function R(t){var e=t.allRowsHeight;if(void 0!==e)return e;for(var r=0,n=0;n<t.rows.length;n++)r+=t.rows[n].rowHeight;return t.allRowsHeight=r,r}function F(t){return t.rowBlocks[t.page]}e.exports=function(t,e){var r=!t._context.staticPlot,s=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=a.unwrap(e).trace;return f(t,r)})),a.keyFun);s.exit().remove(),s.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),s.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var p=s.selectAll(\".\"+n.cn.tableControlView).data(a.repeat,a.keyFun),b=p.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";b.on(\"mousemove\",(function(e){p.filter((function(t){return e===t})).call(y,t)})).on(_,(function(e){if(!e.scrollbarState.wheeling){e.scrollbarState.wheeling=!0;var r=e.scrollY+i.event.deltaY;E(t,p,null,r)(e)||(i.event.stopPropagation(),i.event.preventDefault()),e.scrollbarState.wheeling=!1}})).call(y,t,!0)}p.attr(\"transform\",(function(t){return c(t.size.l,t.size.t)}));var w=p.selectAll(\".\"+n.cn.scrollBackground).data(a.repeat,a.keyFun);w.enter().append(\"rect\").classed(n.cn.scrollBackground,!0).attr(\"fill\",\"none\"),w.attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),p.each((function(e){o.setClipUrl(i.select(this),m(t,e),t)}));var A=p.selectAll(\".\"+n.cn.yColumn).data((function(t){return t.columns}),a.keyFun);A.enter().append(\"g\").classed(n.cn.yColumn,!0),A.exit().remove(),A.attr(\"transform\",(function(t){return c(t.x,0)})),r&&A.call(i.behavior.drag().origin((function(e){return T(i.select(this),e,-n.uplift),l(this),e.calcdata.columnDragInProgress=!0,y(p.filter((function(t){return e.calcdata.key===t.key})),t),e})).on(\"drag\",(function(t){var e=i.select(this),r=function(e){return(t===e?i.event.x:e.x)+e.columnWidth/2};t.x=Math.max(-n.overdrag,Math.min(t.calcdata.width+n.overdrag-t.columnWidth,i.event.x)),v(A).filter((function(e){return e.calcdata.key===t.calcdata.key})).sort((function(t,e){return r(t)-r(e)})).forEach((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e)})),A.filter((function(e){return t!==e})).transition().ease(n.transitionEase).duration(n.transitionDuration).attr(\"transform\",(function(t){return c(t.x,0)})),e.call(u).attr(\"transform\",c(t.x,-n.uplift))})).on(\"dragend\",(function(e){var r=i.select(this),n=e.calcdata;e.x=e.xScale(e),e.calcdata.columnDragInProgress=!1,T(r,e,0),function(t,e,r){var n=e.gdColumnsOriginalOrder;e.gdColumns.sort((function(t,e){return r[n.indexOf(t)]-r[n.indexOf(e)]})),e.columnorder=r,t.emit(\"plotly_restyle\")}(t,n,n.columns.map((function(t){return t.xIndex})))}))),A.each((function(e){o.setClipUrl(i.select(this),g(t,e),t)}));var L=A.selectAll(\".\"+n.cn.columnBlock).data(h.splitToPanels,a.keyFun);L.enter().append(\"g\").classed(n.cn.columnBlock,!0).attr(\"id\",(function(t){return t.key})),L.style(\"cursor\",(function(t){return t.dragHandle?\"ew-resize\":t.calcdata.scrollbarState.barWiggleRoom?\"ns-resize\":\"default\"}));var C=L.filter(M),P=L.filter(k);r&&P.call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t})).on(\"drag\",E(t,p,-1)).on(\"dragend\",(function(){}))),x(t,p,C,L),x(t,p,P,L);var I=p.selectAll(\".\"+n.cn.scrollAreaClip).data(a.repeat,a.keyFun);I.enter().append(\"clipPath\").classed(n.cn.scrollAreaClip,!0).attr(\"id\",(function(e){return m(t,e)}));var O=I.selectAll(\".\"+n.cn.scrollAreaClipRect).data(a.repeat,a.keyFun);O.enter().append(\"rect\").classed(n.cn.scrollAreaClipRect,!0).attr(\"x\",-n.overdrag).attr(\"y\",-n.uplift).attr(\"fill\",\"none\"),O.attr(\"width\",(function(t){return t.width+2*n.overdrag})).attr(\"height\",(function(t){return t.height+n.uplift})),A.selectAll(\".\"+n.cn.columnBoundary).data(a.repeat,a.keyFun).enter().append(\"g\").classed(n.cn.columnBoundary,!0);var z=A.selectAll(\".\"+n.cn.columnBoundaryClippath).data(a.repeat,a.keyFun);z.enter().append(\"clipPath\").classed(n.cn.columnBoundaryClippath,!0),z.attr(\"id\",(function(e){return g(t,e)}));var D=z.selectAll(\".\"+n.cn.columnBoundaryRect).data(a.repeat,a.keyFun);D.enter().append(\"rect\").classed(n.cn.columnBoundaryRect,!0).attr(\"fill\",\"none\"),D.attr(\"width\",(function(t){return t.columnWidth+2*d(t)})).attr(\"height\",(function(t){return t.calcdata.height+2*d(t)+n.uplift})).attr(\"x\",(function(t){return-d(t)})).attr(\"y\",(function(t){return-d(t)})),S(null,P,p)}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/gup\":796,\"../../lib/svg_text_utils\":824,\"./constants\":1346,\"./data_preparation_helper\":1347,\"./data_split_helpers\":1348,\"@plotly/d3\":58}],1352:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:u({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:l.marker.colors,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:l.marker.line,editType:\"calc\"},a(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:u({},s.textfont,{}),editType:\"calc\"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle left\",\"middle center\",\"middle right\",\"bottom left\",\"bottom center\",\"bottom right\"],dflt:\"top left\",editType:\"plot\"},sort:s.sort,root:l.root,domain:o({name:\"treemap\",trace:!0,editType:\"calc\"})}},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plots/domain\":877,\"../../plots/template_attributes\":922,\"../pie/attributes\":1188,\"../sunburst/attributes\":1326,\"./constants\":1355}],1353:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"treemap\",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\":913}],1354:[function(t,e,r){\"use strict\";var n=t(\"../sunburst/calc\");r.calc=function(t,e){return n.calc(t,e)},r.crossTraceCalc=function(t){return n._runCrossTraceCalc(\"treemap\",t)}},{\"../sunburst/calc\":1328}],1355:[function(t,e,r){\"use strict\";e.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:\"poly\",eventDataKeys:[\"currentPath\",\"root\",\"entry\",\"percentRoot\",\"percentEntry\",\"percentParent\"],gapWithPathbar:1}},{}],1356:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText,l=t(\"../bar/constants\").TEXTPAD,c=t(\"../../components/colorscale\"),u=c.hasColorscale,f=c.handleDefaults;e.exports=function(t,e,r,c){function h(r,a){return n.coerce(t,e,i,r,a)}var p=h(\"labels\"),d=h(\"parents\");if(p&&p.length&&d&&d.length){var m=h(\"values\");m&&m.length?h(\"branchvalues\"):h(\"count\"),h(\"level\"),h(\"maxdepth\"),\"squarify\"===h(\"tiling.packing\")&&h(\"tiling.squarifyratio\"),h(\"tiling.flip\"),h(\"tiling.pad\");var g=h(\"text\");h(\"texttemplate\"),e.texttemplate||h(\"textinfo\",Array.isArray(g)?\"text+label\":\"label\"),h(\"hovertext\"),h(\"hovertemplate\");var v=h(\"pathbar.visible\");s(t,e,c,h,\"auto\",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),h(\"textposition\");var y=-1!==e.textposition.indexOf(\"bottom\");h(\"marker.line.width\")&&h(\"marker.line.color\",c.paper_bgcolor);var x=h(\"marker.colors\");(e._hasColorscale=u(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis)?f(t,e,c,h,{prefix:\"marker.\",cLetter:\"c\"}):h(\"marker.depthfade\",!(x||[]).length);var b=2*e.textfont.size;h(\"marker.pad.t\",y?b/4:b),h(\"marker.pad.l\",b/4),h(\"marker.pad.r\",b/4),h(\"marker.pad.b\",y?b:b/4),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(h(\"pathbar.thickness\",e.pathbar.textfont.size+2*l),h(\"pathbar.side\"),h(\"pathbar.edgeshape\")),h(\"sort\"),h(\"root.color\"),o(e,c,h),e._length=null}else e.visible=!1}},{\"../../components/color\":662,\"../../components/colorscale\":674,\"../../lib\":799,\"../../plots/domain\":877,\"../bar/constants\":939,\"../bar/defaults\":941,\"./attributes\":1352}],1357:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../sunburst/helpers\"),a=t(\"../bar/uniform_text\").clearMinTextSize,o=t(\"../bar/style\").resizeText,s=t(\"./plot_one\");e.exports=function(t,e,r,l,c){var u,f,h=c.type,p=c.drawDescendants,d=t._fullLayout,m=d[\"_\"+h+\"layer\"],g=!r;(a(h,d),(u=m.selectAll(\"g.trace.\"+h).data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(h,!0),u.order(),!d.uniformtext.mode&&i.hasTransition(r))?(l&&(f=l()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){f&&f()})).each(\"interrupt\",(function(){f&&f()})).each((function(){m.selectAll(\"g.trace\").each((function(e){s(t,e,this,r,p)}))}))):(u.each((function(e){s(t,e,this,r,p)})),d.uniformtext.mode&&o(t,m.selectAll(\".trace\"),h));g&&u.exit().remove()}},{\"../bar/style\":951,\"../bar/uniform_text\":953,\"../sunburst/helpers\":1332,\"./plot_one\":1366,\"@plotly/d3\":58}],1358:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),f=t(\"../sunburst/fx\");e.exports=function(t,e,r,h,p){var d=p.barDifY,m=p.width,g=p.height,v=p.viewX,y=p.viewY,x=p.pathSlice,b=p.toMoveInsideSlice,_=p.strTransform,w=p.hasTransition,T=p.handleSlicesExit,k=p.makeUpdateSliceInterpolator,M=p.makeUpdateTextInterpolator,A={},S=t._fullLayout,E=e[0],L=E.trace,C=E.hierarchy,P=m/L._entryDepth,I=u.listPath(r.data,\"id\"),O=s(C.copy(),[m,g],{packing:\"dice\",pad:{inner:0,top:0,left:0,right:0,bottom:0}}).descendants();(O=O.filter((function(t){var e=I.indexOf(t.data.id);return-1!==e&&(t.x0=P*e,t.x1=P*(e+1),t.y0=d,t.y1=d+g,t.onPathbar=!0,!0)}))).reverse(),(h=h.data(O,u.getPtId)).enter().append(\"g\").classed(\"pathbar\",!0),T(h,!0,A,[m,g],x),h.order();var z=h;w&&(z=z.transition().each(\"end\",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:!1})}))),z.each((function(s){s._hoverX=v(s.x1-Math.min(m,g)/2),s._hoverY=y(s.y1-g/2);var h=n.select(this),p=i.ensureSingle(h,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));w?p.transition().attrTween(\"d\",(function(t){var e=k(t,!0,A,[m,g]);return function(t){return x(e(t))}})):p.attr(\"d\",x),h.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:t._transitioning}),p.call(l,s,L,{hovered:!1}),s._text=(u.getPtLabel(s)||\"\").split(\"<br>\").join(\" \")||\"\";var d=i.ensureSingle(h,\"g\",\"slicetext\"),T=i.ensureSingle(d,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(L,s,S.font,{onPathbar:!0}));T.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",\"start\").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween(\"transform\",(function(t){var e=M(t,!0,A,[m,g]);return function(t){return _(e(t))}})):T.attr(\"transform\",_(s))}))}},{\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../sunburst/fx\":1331,\"../sunburst/helpers\":1332,\"./constants\":1355,\"./partition\":1364,\"./style\":1367,\"@plotly/d3\":58}],1359:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),f=t(\"../sunburst/fx\"),h=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var m=d.width,g=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\"left\"),C=-1!==E.textposition.indexOf(\"right\"),P=-1!==E.textposition.indexOf(\"bottom\"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,O=s(r,[m,g],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),z=1/0,D=-1/0;O.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(z=Math.min(z,e),D=Math.max(D,e))})),p=p.data(O,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-z+1:0,p.enter().append(\"g\").classed(\"slice\",!0),T(p,!1,{},[m,g],x),p.order();var R=null;if(w&&A){var F=u.getPtId(A);p.each((function(t){null===R&&u.getPtId(t)===F&&(R={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})}))}var B=function(){return R||{x0:0,x1:m,y0:0,y1:g}},N=p;return w&&(N=N.transition().each(\"end\",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!1,isTransitioning:!1})}))),N.each((function(s){var p=u.isHeader(s,E);s._hoverX=v(s.x1-E.marker.pad.r),s._hoverY=y(P?s.y1-E.marker.pad.b/2:s.y0+E.marker.pad.t/2);var d=n.select(this),T=i.ensureSingle(d,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));w?T.transition().attrTween(\"d\",(function(t){var e=k(t,!1,B(),[m,g]);return function(t){return x(e(t))}})):T.attr(\"d\",x),d.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{isTransitioning:t._transitioning}),T.call(l,s,E,{hovered:!1}),s.x0===s.x1||s.y0===s.y1?s._text=\"\":s._text=p?I?\"\":u.getPtLabel(s)||\"\":h(s,r,E,e,S)||\"\";var A=i.ensureSingle(d,\"g\",\"slicetext\"),O=i.ensureSingle(A,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),z=i.ensureUniformFontSize(t,u.determineTextFont(E,s,S.font));O.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",C?\"end\":L||p?\"start\":\"middle\").call(a.font,z).call(o.convertToTspans,t),s.textBB=a.bBox(O.node()),s.transform=b(s,{fontSize:z.size,isHeader:p}),s.transform.fontSize=z.size,w?O.transition().attrTween(\"transform\",(function(t){var e=M(t,!1,B(),[m,g]);return function(t){return _(e(t))}})):O.attr(\"transform\",_(s))})),R}},{\"../../components/drawing\":684,\"../../lib\":799,\"../../lib/svg_text_utils\":824,\"../sunburst/fx\":1331,\"../sunburst/helpers\":1332,\"../sunburst/plot\":1336,\"./constants\":1355,\"./partition\":1364,\"./style\":1367,\"@plotly/d3\":58}],1360:[function(t,e,r){\"use strict\";e.exports=function t(e,r,n){var i;n.swapXY&&(i=e.x0,e.x0=e.y0,e.y0=i,i=e.x1,e.x1=e.y1,e.y1=i),n.flipX&&(i=e.x0,e.x0=r[0]-e.x1,e.x1=r[0]-i),n.flipY&&(i=e.y0,e.y0=r[1]-e.y1,e.y1=r[1]-i);var a=e.children;if(a)for(var o=0;o<a.length;o++)t(a[o],r,n)}},{}],1361:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"treemap\",basePlotModule:t(\"./base_plot\"),categories:[],animatable:!0,attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\").style,colorbar:t(\"../scatter/marker_colorbar\"),meta:{}}},{\"../scatter/marker_colorbar\":1232,\"./attributes\":1352,\"./base_plot\":1353,\"./calc\":1354,\"./defaults\":1356,\"./layout_attributes\":1362,\"./layout_defaults\":1363,\"./plot\":1365,\"./style\":1367}],1362:[function(t,e,r){\"use strict\";e.exports={treemapcolorway:{valType:\"colorlist\",editType:\"calc\"},extendtreemapcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1363:[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(\"treemapcolorway\",e.colorway),r(\"extendtreemapcolors\")}},{\"../../lib\":799,\"./layout_attributes\":1362}],1364:[function(t,e,r){\"use strict\";var n=t(\"d3-hierarchy\"),i=t(\"./flip_tree\");e.exports=function(t,e,r){var a,o=r.flipX,s=r.flipY,l=\"dice-slice\"===r.packing,c=r.pad[s?\"bottom\":\"top\"],u=r.pad[o?\"right\":\"left\"],f=r.pad[o?\"left\":\"right\"],h=r.pad[s?\"top\":\"bottom\"];l&&(a=u,u=c,c=a,a=f,f=h,h=a);var p=n.treemap().tile(function(t,e){switch(t){case\"squarify\":return n.treemapSquarify.ratio(e);case\"binary\":return n.treemapBinary;case\"dice\":return n.treemapDice;case\"slice\":return n.treemapSlice;default:return n.treemapSliceDice}}(r.packing,r.squarifyratio)).paddingInner(r.pad.inner).paddingLeft(u).paddingRight(f).paddingTop(c).paddingBottom(h).size(l?[e[1],e[0]]:e)(t);return(l||o||s)&&i(p,e,{swapXY:l,flipX:o,flipY:s}),p}},{\"./flip_tree\":1360,\"d3-hierarchy\":167}],1365:[function(t,e,r){\"use strict\";var n=t(\"./draw\"),i=t(\"./draw_descendants\");e.exports=function(t,e,r,a){return n(t,e,r,a,{type:\"treemap\",drawDescendants:i})}},{\"./draw\":1357,\"./draw_descendants\":1359}],1366:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../sunburst/helpers\"),a=t(\"../../lib\"),o=t(\"../bar/constants\").TEXTPAD,s=t(\"../bar/plot\").toMoveInsideBar,l=t(\"../bar/uniform_text\").recordMinTextSize,c=t(\"./constants\"),u=t(\"./draw_ancestors\");function f(t){return i.isHierarchyRoot(t)?\"\":i.getPtId(t)}e.exports=function(t,e,r,h,p){var d=t._fullLayout,m=e[0],g=m.trace,v=\"icicle\"===g.type,y=m.hierarchy,x=i.findEntryWithLevel(y,g.level),b=n.select(r),_=b.selectAll(\"g.pathbar\"),w=b.selectAll(\"g.slice\");if(!x)return _.remove(),void w.remove();var T=i.isHierarchyRoot(x),k=!d.uniformtext.mode&&i.hasTransition(h),M=i.getMaxDepth(g),A=d._size,S=g.domain,E=A.w*(S.x[1]-S.x[0]),L=A.h*(S.y[1]-S.y[0]),C=E,P=g.pathbar.thickness,I=g.marker.line.width+c.gapWithPathbar,O=g.pathbar.visible?g.pathbar.side.indexOf(\"bottom\")>-1?L+I:-(P+I):0,z={x0:C,x1:C,y0:O,y1:O+P},D=function(t,e,r){var n=g.tiling.pad,i=function(t){return t-n<=e.x0},a=function(t){return t+n>=e.x1},o=function(t){return t-n<=e.y0},s=function(t){return t+n>=e.y1};return t.x0===e.x0&&t.x1===e.x1&&t.y0===e.y0&&t.y1===e.y1?{x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1}:{x0:i(t.x0-n)?0:a(t.x0-n)?r[0]:t.x0,x1:i(t.x1+n)?0:a(t.x1+n)?r[0]:t.x1,y0:o(t.y0-n)?0:s(t.y0-n)?r[1]:t.y0,y1:o(t.y1+n)?0:s(t.y1+n)?r[1]:t.y1}},R=null,F={},B={},N=null,j=function(t,e){return e?F[f(t)]:B[f(t)]},U=function(t,e,r,n){if(e)return F[f(y)]||z;var i=B[g.level]||r;return function(t){return t.data.depth-x.data.depth<M}(t)?D(t,i,n):{}};m.hasMultipleRoots&&T&&M++,g._maxDepth=M,g._backgroundColor=d.paper_bgcolor,g._entryDepth=x.data.depth,g._atRootLevel=T;var V=-E/2+A.l+A.w*(S.x[1]+S.x[0])/2,q=-L/2+A.t+A.h*(1-(S.y[1]+S.y[0])/2),H=function(t){return V+t},G=function(t){return q+t},Y=G(0),W=H(0),X=function(t){return W+t},Z=function(t){return Y+t};function J(t,e){return t+\",\"+e}var K=X(0),Q=function(t){t.x=Math.max(K,t.x)},$=g.pathbar.edgeshape,tt=function(t,e){var r=t.x0,n=t.x1,i=t.y0,a=t.y1,c=t.textBB,u=function(t){return-1!==g.textposition.indexOf(t)},f=u(\"bottom\"),h=u(\"top\")||e.isHeader&&!f?\"start\":f?\"end\":\"middle\",p=u(\"right\"),m=u(\"left\")||e.onPathbar?-1:p?1:0,y=g[v?\"tiling\":\"marker\"].pad;if(e.isHeader){if((r+=(v?y:y.l)-o)>=(n-=(v?y:y.r)-o)){var x=(r+n)/2;r=x,n=x}var b;f?i<(b=a-(v?y:y.b))&&b<a&&(i=b):i<(b=i+(v?y:y.t))&&b<a&&(a=b)}var _=s(r,n,i,a,c,{isHorizontal:!1,constrained:!0,angle:0,anchor:h,leftToRight:m});return _.fontSize=e.fontSize,_.targetX=H(_.targetX),_.targetY=G(_.targetY),isNaN(_.targetX)||isNaN(_.targetY)?{}:(r!==n&&i!==a&&l(g.type,_,d),{scale:_.scale,rotate:_.rotate,textX:_.textX,textY:_.textY,anchorX:_.anchorX,anchorY:_.anchorY,targetX:_.targetX,targetY:_.targetY})},et=function(t,e){for(var r,n=0,i=t;!r&&n<M;)n++,(i=i.parent)?r=j(i,e):n=M;return r||{}},rt=function(t,e,r,i,o){var s,l=j(t,e);if(l)s=l;else if(e)s=z;else if(R)if(t.parent){var c=N||r;c&&!e?s=D(t,c,i):(s={},a.extendFlat(s,et(t,e)))}else s=a.extendFlat({},t),v&&(\"h\"===o.orientation?o.flipX?s.x0=t.x1:s.x1=0:o.flipY?s.y0=t.y1:s.y1=0);else s={};return n.interpolate(s,{x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})},nt=function(t,e,r,o){var s=j(t,e),c={},u=U(t,e,r,o);a.extendFlat(c,{transform:tt({x0:u.x0,x1:u.x1,y0:u.y0,y1:u.y1,textBB:t.textBB,_text:t._text},{isHeader:i.isHeader(t,g)})}),s?c=s:t.parent&&a.extendFlat(c,et(t,e));var f=t.transform;return t.x0!==t.x1&&t.y0!==t.y1&&l(g.type,f,d),n.interpolate(c,{transform:{scale:f.scale,rotate:f.rotate,textX:f.textX,textY:f.textY,anchorX:f.anchorX,anchorY:f.anchorY,targetX:f.targetX,targetY:f.targetY}})},it=function(t,e,r,i,a){var o=i[0],s=i[1];k?t.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var r=function(t,e,r,i){var a,o=j(t,e);if(e)a=z;else{var s=j(x,e);a=s?D(t,s,i):{}}return n.interpolate(o,a)}(t,e,0,[o,s]);return function(t){return a(r(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():t.exit().remove()},at=function(t){var e=t.transform;return t.x0!==t.x1&&t.y0!==t.y1&&l(g.type,e,d),a.getTextTransform({textX:e.textX,textY:e.textY,anchorX:e.anchorX,anchorY:e.anchorY,targetX:e.targetX,targetY:e.targetY,scale:e.scale,rotate:e.rotate})};k&&(_.each((function(t){F[f(t)]={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1},t.transform&&(F[f(t)].transform={textX:t.transform.textX,textY:t.transform.textY,anchorX:t.transform.anchorX,anchorY:t.transform.anchorY,targetX:t.transform.targetX,targetY:t.transform.targetY,scale:t.transform.scale,rotate:t.transform.rotate})})),w.each((function(t){B[f(t)]={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1},t.transform&&(B[f(t)].transform={textX:t.transform.textX,textY:t.transform.textY,anchorX:t.transform.anchorX,anchorY:t.transform.anchorY,targetX:t.transform.targetX,targetY:t.transform.targetY,scale:t.transform.scale,rotate:t.transform.rotate}),!R&&i.isEntry(t)&&(R=t)}))),N=p(t,e,x,w,{width:E,height:L,viewX:H,viewY:G,pathSlice:function(t){var e=H(t.x0),r=H(t.x1),n=G(t.y0),i=G(t.y1),a=r-e,o=i-n;if(!a||!o)return\"\";return\"M\"+J(e,n+0)+\"L\"+J(r-0,n)+\"L\"+J(r,i-0)+\"L\"+J(e+0,i)+\"Z\"},toMoveInsideSlice:tt,prevEntry:R,makeUpdateSliceInterpolator:rt,makeUpdateTextInterpolator:nt,handleSlicesExit:it,hasTransition:k,strTransform:at}),g.pathbar.visible?u(t,e,x,_,{barDifY:O,width:C,height:P,viewX:X,viewY:Z,pathSlice:function(t){var e=X(Math.max(Math.min(t.x0,t.x0),0)),r=X(Math.min(Math.max(t.x1,t.x1),C)),n=Z(t.y0),i=Z(t.y1),a=P/2,o={},s={};o.x=e,s.x=r,o.y=s.y=(n+i)/2;var l={x:e,y:n},c={x:r,y:n},u={x:r,y:i},f={x:e,y:i};return\">\"===$?(l.x-=a,c.x-=a,u.x-=a,f.x-=a):\"/\"===$?(u.x-=a,f.x-=a,o.x-=a/2,s.x-=a/2):\"\\\\\"===$?(l.x-=a,c.x-=a,o.x-=a/2,s.x-=a/2):\"<\"===$&&(o.x-=a,s.x-=a),Q(l),Q(f),Q(o),Q(c),Q(u),Q(s),\"M\"+J(l.x,l.y)+\"L\"+J(c.x,c.y)+\"L\"+J(s.x,s.y)+\"L\"+J(u.x,u.y)+\"L\"+J(f.x,f.y)+\"L\"+J(o.x,o.y)+\"Z\"},toMoveInsideSlice:tt,makeUpdateSliceInterpolator:rt,makeUpdateTextInterpolator:nt,handleSlicesExit:it,hasTransition:k,strTransform:at}):_.remove()}},{\"../../lib\":799,\"../bar/constants\":939,\"../bar/plot\":948,\"../bar/uniform_text\":953,\"../sunburst/helpers\":1332,\"./constants\":1355,\"./draw_ancestors\":1358,\"@plotly/d3\":58}],1367:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../sunburst/helpers\"),s=t(\"../bar/uniform_text\").resizeText;function l(t,e,r,n){var s,l,c=(n||{}).hovered,u=e.data.data,f=u.i,h=u.color,p=o.isHierarchyRoot(e),d=1;if(c)s=r._hovered.marker.line.color,l=r._hovered.marker.line.width;else if(p&&h===r.root.color)d=100,s=\"rgba(0,0,0,0)\",l=0;else if(s=a.castOption(r,f,\"marker.line.color\")||i.defaultLine,l=a.castOption(r,f,\"marker.line.width\")||0,!r._hasColorscale&&!e.onPathbar){var m=r.marker.depthfade;if(m){var g,v=i.combine(i.addOpacity(r._backgroundColor,.75),h);if(!0===m){var y=o.getMaxDepth(r);g=isFinite(y)?o.isLeaf(e)?0:r._maxVisibleLayers-(e.data.depth-r._entryDepth):e.data.height+1}else g=e.data.depth-r._entryDepth,r._atRootLevel||g++;if(g>0)for(var x=0;x<g;x++){var b=.5*x/g;h=i.combine(i.addOpacity(v,b),h)}}}t.style(\"stroke-width\",l).call(i.fill,h).call(i.stroke,s).style(\"opacity\",d)}e.exports={style:function(t){var e=t._fullLayout._treemaplayer.selectAll(\".trace\");s(t,e,\"treemap\"),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(l,t,r,{hovered:!1})}))}))},styleOne:l}},{\"../../components/color\":662,\"../../lib\":799,\"../bar/uniform_text\":953,\"../sunburst/helpers\":1332,\"@plotly/d3\":58}],1368:[function(t,e,r){\"use strict\";var n=t(\"../box/attributes\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat;e.exports={y:n.y,x:n.x,x0:n.x0,y0:n.y0,xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),name:i({},n.name,{}),orientation:i({},n.orientation,{}),bandwidth:{valType:\"number\",min:0,editType:\"calc\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},scalemode:{valType:\"enumerated\",values:[\"width\",\"count\"],dflt:\"width\",editType:\"calc\"},spanmode:{valType:\"enumerated\",values:[\"soft\",\"hard\",\"manual\"],dflt:\"soft\",editType:\"calc\"},span:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:n.fillcolor,points:i({},n.boxpoints,{}),jitter:i({},n.jitter,{}),pointpos:i({},n.pointpos,{}),width:i({},n.width,{}),marker:n.marker,text:n.text,hovertext:n.hovertext,hovertemplate:n.hovertemplate,box:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},width:{valType:\"number\",min:0,max:1,dflt:.25,editType:\"plot\"},fillcolor:{valType:\"color\",editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},editType:\"plot\"},meanline:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"plot\"},side:{valType:\"enumerated\",values:[\"both\",\"positive\",\"negative\"],dflt:\"both\",editType:\"calc\"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup,selected:n.selected,unselected:n.unselected,hoveron:{valType:\"flaglist\",flags:[\"violins\",\"points\",\"kde\"],dflt:\"violins+points+kde\",extras:[\"all\"],editType:\"style\"}}},{\"../../lib/extend\":789,\"../../plots/cartesian/axis_format_attributes\":852,\"../box/attributes\":962}],1369:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../box/calc\"),o=t(\"./helpers\"),s=t(\"../../constants/numerical\").BADNUM;function l(t,e,r){var i=e.max-e.min;if(!i)return t.bandwidth?t.bandwidth:0;if(t.bandwidth)return Math.max(t.bandwidth,i/1e4);var a=r.length,o=n.stdev(r,a-1,e.mean);return Math.max(function(t,e,r){return 1.059*Math.min(e,r/1.349)*Math.pow(t,-.2)}(a,o,e.q3-e.q1),i/100)}function c(t,e,r,n){var a,o=t.spanmode,l=t.span||[],c=[e.min,e.max],u=[e.min-2*n,e.max+2*n];function f(n){var i=l[n],a=\"multicategory\"===r.type?r.r2c(i):r.d2c(i,0,t[e.valLetter+\"calendar\"]);return a===s?u[n]:a}var h={type:\"linear\",range:a=\"soft\"===o?u:\"hard\"===o?c:[f(0),f(1)]};return i.setConvert(h),h.cleanRange(),a}e.exports=function(t,e){var r=a(t,e);if(r[0].t.empty)return r;for(var s=t._fullLayout,u=i.getFromId(t,e[\"h\"===e.orientation?\"xaxis\":\"yaxis\"]),f=1/0,h=-1/0,p=0,d=0,m=0;m<r.length;m++){var g=r[m],v=g.pts.map(o.extractVal),y=g.bandwidth=l(e,g,v),x=g.span=c(e,g,u,y);if(g.min===g.max&&0===y)x=g.span=[g.min,g.max],g.density=[{v:1,t:x[0]}],g.bandwidth=y,p=Math.max(p,1);else{var b=x[1]-x[0],_=Math.ceil(b/(y/3)),w=b/_;if(!isFinite(w)||!isFinite(_))return n.error(\"Something went wrong with computing the violin span\"),r[0].t.empty=!0,r;var T=o.makeKDE(g,e,v);g.density=new Array(_);for(var k=0,M=x[0];M<x[1]+w/2;k++,M+=w){var A=T(M);g.density[k]={v:A,t:M},p=Math.max(p,A)}}d=Math.max(d,v.length),f=Math.min(f,x[0]),h=Math.max(h,x[1])}var S=i.findExtremes(u,[f,h],{padded:!0});if(e._extremes[u._id]=S,e.width)r[0].t.maxKDE=p;else{var E=s._violinScaleGroupStats,L=e.scalegroup,C=E[L];C?(C.maxKDE=Math.max(C.maxKDE,p),C.maxCount=Math.max(C.maxCount,d)):E[L]={maxKDE:p,maxCount:d}}return r[0].t.labels.kde=n._(t,\"kde:\"),r}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../box/calc\":963,\"./helpers\":1372}],1370:[function(t,e,r){\"use strict\";var n=t(\"../box/cross_trace_calc\").setPositionOffset,i=[\"v\",\"h\"];e.exports=function(t,e){for(var r=t.calcdata,a=e.xaxis,o=e.yaxis,s=0;s<i.length;s++){for(var l=i[s],c=\"h\"===l?o:a,u=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||\"violin\"!==d.type||p.empty||d.orientation!==l||d.xaxis!==a._id||d.yaxis!==o._id||u.push(f)}n(\"violin\",t,u,c)}}},{\"../box/cross_trace_calc\":964}],1371:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../box/defaults\"),o=t(\"./attributes\");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}function c(r,i){return n.coerce2(t,e,o,r,i)}if(a.handleSampleDefaults(t,e,l,s),!1!==e.visible){l(\"bandwidth\"),l(\"side\"),l(\"width\")||(l(\"scalegroup\",e.name),l(\"scalemode\"));var u,f=l(\"span\");Array.isArray(f)&&(u=\"manual\"),l(\"spanmode\",u);var h=l(\"line.color\",(t.marker||{}).color||r),p=l(\"line.width\"),d=l(\"fillcolor\",i.addOpacity(e.line.color,.5));a.handlePointsDefaults(t,e,l,{prefix:\"\"});var m=c(\"box.width\"),g=c(\"box.fillcolor\",d),v=c(\"box.line.color\",h),y=c(\"box.line.width\",p);l(\"box.visible\",Boolean(m||g||v||y))||(e.box={visible:!1});var x=c(\"meanline.color\",h),b=c(\"meanline.width\",p);l(\"meanline.visible\",Boolean(x||b))||(e.meanline={visible:!1})}}},{\"../../components/color\":662,\"../../lib\":799,\"../box/defaults\":965,\"./attributes\":1368}],1372:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=function(t){return 1/Math.sqrt(2*Math.PI)*Math.exp(-.5*t*t)};r.makeKDE=function(t,e,r){var n=r.length,a=i,o=t.bandwidth,s=1/(n*o);return function(t){for(var e=0,i=0;i<n;i++)e+=a((t-r[i])/o);return s*e}},r.getPositionOnKdePath=function(t,e,r){var i,a;\"h\"===e.orientation?(i=\"y\",a=\"x\"):(i=\"x\",a=\"y\");var o=n.findPointOnPath(t.path,r,a,{pathLength:t.pathLength}),s=t.posCenterPx,l=o[i];return[l,\"both\"===e.side?2*s-l:s]},r.getKdeValue=function(t,e,n){var i=t.pts.map(r.extractVal);return r.makeKDE(t,e,i)(n)/t.posDensityScale},r.extractVal=function(t){return t.v}},{\"../../lib\":799}],1373:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../box/hover\"),o=t(\"./helpers\");e.exports=function(t,e,r,s,l){l||(l={});var c,u,f=l.hoverLayer,h=t.cd,p=h[0].trace,d=p.hoveron,m=-1!==d.indexOf(\"violins\"),g=-1!==d.indexOf(\"kde\"),v=[];if(m||g){var y=a.hoverOnBoxes(t,e,r,s);if(g&&y.length>0){var x,b,_,w,T,k=t.xa,M=t.ya;\"h\"===p.orientation?(T=e,x=\"y\",_=M,b=\"x\",w=k):(T=r,x=\"x\",_=k,b=\"y\",w=M);var A=h[t.index];if(T>=A.span[0]&&T<=A.span[1]){var S=n.extendFlat({},t),E=w.c2p(T,!0),L=o.getKdeValue(A,p,T),C=o.getPositionOnKdePath(A,p,E),P=_._offset,I=_._length;S[x+\"0\"]=C[0],S[x+\"1\"]=C[1],S[b+\"0\"]=S[b+\"1\"]=E,S[b+\"Label\"]=b+\": \"+i.hoverLabelText(w,T,p[b+\"hoverformat\"])+\", \"+h[0].t.labels.kde+\" \"+L.toFixed(3),S.spikeDistance=y[0].spikeDistance;var O=x+\"Spike\";S[O]=y[0][O],y[0].spikeDistance=void 0,y[0][O]=void 0,S.hovertemplate=!1,v.push(S),(u={stroke:t.color})[x+\"1\"]=n.constrain(P+C[0],P,P+I),u[x+\"2\"]=n.constrain(P+C[1],P,P+I),u[b+\"1\"]=u[b+\"2\"]=w._offset+E}}m&&(v=v.concat(y))}-1!==d.indexOf(\"points\")&&(c=a.hoverOnPoints(t,e,r));var z=f.selectAll(\".violinline-\"+p.uid).data(u?[0]:[]);return z.enter().append(\"line\").classed(\"violinline-\"+p.uid,!0).attr(\"stroke-width\",1.5),z.exit().remove(),z.attr(u),\"closest\"===s?c?[c]:v:c?(v.push(c),v):v}},{\"../../lib\":799,\"../../plots/cartesian/axes\":849,\"../box/hover\":967,\"./helpers\":1372}],1374:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../box/defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\"),plot:t(\"./plot\"),style:t(\"./style\"),styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../box/select\"),moduleType:\"trace\",name:\"violin\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"violinLayout\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":863,\"../box/defaults\":965,\"../box/select\":972,\"../scatter/style\":1238,\"./attributes\":1368,\"./calc\":1369,\"./cross_trace_calc\":1370,\"./defaults\":1371,\"./hover\":1373,\"./layout_attributes\":1375,\"./layout_defaults\":1376,\"./plot\":1377,\"./style\":1378}],1375:[function(t,e,r){\"use strict\";var n=t(\"../box/layout_attributes\"),i=t(\"../../lib\").extendFlat;e.exports={violinmode:i({},n.boxmode,{}),violingap:i({},n.boxgap,{}),violingroupgap:i({},n.boxgroupgap,{})}},{\"../../lib\":799,\"../box/layout_attributes\":969}],1376:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\"),a=t(\"../box/layout_defaults\");e.exports=function(t,e,r){a._supply(t,e,r,(function(r,a){return n.coerce(t,e,i,r,a)}),\"violin\")}},{\"../../lib\":799,\"../box/layout_defaults\":970,\"./layout_attributes\":1375}],1377:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../box/plot\"),s=t(\"../scatter/line_points\"),l=t(\"./helpers\");e.exports=function(t,e,r,c){var u=t._fullLayout,f=e.xaxis,h=e.yaxis;function p(t){var e=s(t,{xaxis:f,yaxis:h,connectGaps:!0,baseTolerance:.75,shape:\"spline\",simplify:!0,linearized:!0});return a.smoothopen(e[0],1)}i.makeTraceGroups(c,r,\"trace violins\").each((function(t){var r=n.select(this),a=t[0],s=a.t,c=a.trace;if(!0!==c.visible||s.empty)r.remove();else{var d=s.bPos,m=s.bdPos,g=e[s.valLetter+\"axis\"],v=e[s.posLetter+\"axis\"],y=\"both\"===c.side,x=y||\"positive\"===c.side,b=y||\"negative\"===c.side,_=r.selectAll(\"path.violin\").data(i.identity);_.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"violin\"),_.exit().remove(),_.each((function(t){var e,r,i,a,o,l,f,h,_=n.select(this),w=t.density,T=w.length,k=v.c2l(t.pos+d,!0),M=v.l2p(k);if(c.width)e=s.maxKDE/m;else{var A=u._violinScaleGroupStats[c.scalegroup];e=\"count\"===c.scalemode?A.maxKDE/m*(A.maxCount/t.pts.length):A.maxKDE/m}if(x){for(f=new Array(T),o=0;o<T;o++)(h=f[o]={})[s.posLetter]=k+w[o].v/e,h[s.valLetter]=g.c2l(w[o].t,!0);r=p(f)}if(b){for(f=new Array(T),l=0,o=T-1;l<T;l++,o--)(h=f[l]={})[s.posLetter]=k-w[o].v/e,h[s.valLetter]=g.c2l(w[o].t,!0);i=p(f)}if(y)a=r+\"L\"+i.substr(1)+\"Z\";else{var S=[M,g.c2p(w[0].t)],E=[M,g.c2p(w[T-1].t)];\"h\"===c.orientation&&(S.reverse(),E.reverse()),a=x?\"M\"+S+\"L\"+r.substr(1)+\"L\"+E:\"M\"+E+\"L\"+i.substr(1)+\"L\"+S}_.attr(\"d\",a),t.posCenterPx=M,t.posDensityScale=e*m,t.path=_.node(),t.pathLength=t.path.getTotalLength()/(y?2:1)}));var w,T,k,M=c.box,A=M.width,S=(M.line||{}).width;y?(w=m*A,T=0):x?(w=[0,m*A/2],T=S*{x:1,y:-1}[s.posLetter]):(w=[m*A/2,0],T=S*{x:-1,y:1}[s.posLetter]),o.plotBoxAndWhiskers(r,{pos:v,val:g},c,{bPos:d,bdPos:w,bPosPxOffset:T}),o.plotBoxMean(r,{pos:v,val:g},c,{bPos:d,bdPos:w,bPosPxOffset:T}),!c.box.visible&&c.meanline.visible&&(k=i.identity);var E=r.selectAll(\"path.meanline\").data(k||[]);E.enter().append(\"path\").attr(\"class\",\"meanline\").style(\"fill\",\"none\").style(\"vector-effect\",\"non-scaling-stroke\"),E.exit().remove(),E.each((function(t){var e=g.c2p(t.mean,!0),r=l.getPositionOnKdePath(t,c,e);n.select(this).attr(\"d\",\"h\"===c.orientation?\"M\"+e+\",\"+r[0]+\"V\"+r[1]:\"M\"+r[0]+\",\"+e+\"H\"+r[1])})),o.plotPoints(r,{x:f,y:h},c,s)}}))}},{\"../../components/drawing\":684,\"../../lib\":799,\"../box/plot\":971,\"../scatter/line_points\":1228,\"./helpers\":1372,\"@plotly/d3\":58}],1378:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../scatter/style\").stylePoints;e.exports=function(t){var e=n.select(t).selectAll(\"g.trace.violins\");e.style(\"opacity\",(function(t){return t[0].trace.opacity})),e.each((function(e){var r=e[0].trace,o=n.select(this),s=r.box||{},l=s.line||{},c=r.meanline||{},u=c.width;o.selectAll(\"path.violin\").style(\"stroke-width\",r.line.width+\"px\").call(i.stroke,r.line.color).call(i.fill,r.fillcolor),o.selectAll(\"path.box\").style(\"stroke-width\",l.width+\"px\").call(i.stroke,l.color).call(i.fill,s.fillcolor);var f={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(f).call(i.stroke,c.color),o.selectAll(\"path.meanline\").style(f).call(i.stroke,c.color),a(o,r,t)}))}},{\"../../components/color\":662,\"../scatter/style\":1238,\"@plotly/d3\":58}],1379:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../isosurface/attributes\"),a=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:i.x,y:i.y,z:i.z,value:i.value,isomin:i.isomin,isomax:i.isomax,surface:i.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:i.slices,caps:i.caps,text:i.text,hovertext:i.hovertext,xhoverformat:i.xhoverformat,yhoverformat:i.yhoverformat,zhoverformat:i.zhoverformat,valuehoverformat:i.valuehoverformat,hovertemplate:i.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:i.colorbar,opacity:i.opacity,opacityscale:a.opacityscale,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":669,\"../../lib/extend\":789,\"../../plot_api/edit_types\":831,\"../../plots/attributes\":845,\"../isosurface/attributes\":1150,\"../surface/attributes\":1338}],1380:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=t(\"../isosurface/convert\").findNearestOnAxis,c=t(\"../isosurface/convert\").generateIsoMeshes;function u(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var f=u.prototype;f.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}},f.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=c(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,opacityscale:t.opacityscale,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},u=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[u.min,u.max],l.colormap=i(t),this.mesh.update(l)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new u(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../components/colorscale\":674,\"../../lib/gl_format_color\":795,\"../../lib/str2rgbarray\":823,\"../../plots/gl3d/zip3\":903,\"../isosurface/convert\":1152,\"gl-mesh3d\":311}],1381:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../isosurface/defaults\").supplyIsoDefaults,o=t(\"../surface/defaults\").opacityscaleDefaults;e.exports=function(t,e,r,s){function l(r,a){return n.coerce(t,e,i,r,a)}a(t,e,r,s,l),o(t,e,s,l)}},{\"../../lib\":799,\"../isosurface/defaults\":1153,\"../surface/defaults\":1341,\"./attributes\":1379}],1382:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"../isosurface/calc\"),colorbar:{min:\"cmin\",max:\"cmax\"},plot:t(\"./convert\"),moduleType:\"trace\",name:\"volume\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"showLegend\"],meta:{}}},{\"../../plots/gl3d\":892,\"../isosurface/calc\":1151,\"./attributes\":1379,\"./convert\":1380,\"./defaults\":1381}],1383:[function(t,e,r){\"use strict\";var n=t(\"../bar/attributes\"),i=t(\"../scatter/attributes\").line,a=t(\"../../plots/attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../components/color\");function h(t){return{marker:{color:u({},n.marker.color,{arrayOk:!1,editType:\"style\"}),line:{color:u({},n.marker.line.color,{arrayOk:!1,editType:\"style\"}),width:u({},n.marker.line.width,{arrayOk:!1,editType:\"style\"}),editType:\"style\"},editType:\"style\"},editType:\"style\"}}e.exports={measure:{valType:\"data_array\",dflt:[],editType:\"calc\"},base:{valType:\"number\",dflt:null,arrayOk:!1,editType:\"calc\"},x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),hovertext:n.hovertext,hovertemplate:s({},{keys:c.eventDataKeys}),hoverinfo:u({},a.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"initial\",\"delta\",\"final\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"initial\",\"delta\",\"final\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:l({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\"])}),text:n.text,textposition:n.textposition,insidetextanchor:n.insidetextanchor,textangle:n.textangle,textfont:n.textfont,insidetextfont:n.insidetextfont,outsidetextfont:n.outsidetextfont,constraintext:n.constraintext,cliponaxis:n.cliponaxis,orientation:n.orientation,offset:n.offset,width:n.width,increasing:h(),decreasing:h(),totals:h(),connector:{line:{color:u({},i.color,{dflt:f.defaultLine}),width:u({},i.width,{editType:\"plot\"}),dash:i.dash,editType:\"plot\"},mode:{valType:\"enumerated\",values:[\"spanning\",\"between\"],dflt:\"between\",editType:\"plot\"},visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup}},{\"../../components/color\":662,\"../../lib/extend\":789,\"../../plots/attributes\":845,\"../../plots/cartesian/axis_format_attributes\":852,\"../../plots/template_attributes\":922,\"../bar/attributes\":937,\"../scatter/attributes\":1214,\"./constants\":1385}],1384:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/cartesian/align_period\"),a=t(\"../../lib\").mergeArray,o=t(\"../scatter/calc_selection\"),s=t(\"../../constants/numerical\").BADNUM;function l(t){return\"a\"===t||\"absolute\"===t}function c(t){return\"t\"===t||\"total\"===t}e.exports=function(t,e){var r,u,f,h,p=n.getFromId(t,e.xaxis||\"x\"),d=n.getFromId(t,e.yaxis||\"y\");\"h\"===e.orientation?(r=p.makeCalcdata(e,\"x\"),f=d.makeCalcdata(e,\"y\"),u=i(e,d,\"y\",f),h=!!e.yperiodalignment):(r=d.makeCalcdata(e,\"y\"),f=p.makeCalcdata(e,\"x\"),u=i(e,p,\"x\",f),h=!!e.xperiodalignment);for(var m,g=Math.min(u.length,r.length),v=new Array(g),y=0,x=!1,b=0;b<g;b++){var _=r[b]||0,w=!1;(r[b]!==s||c(e.measure[b])||l(e.measure[b]))&&b+1<g&&(r[b+1]!==s||c(e.measure[b+1])||l(e.measure[b+1]))&&(w=!0);var T=v[b]={i:b,p:u[b],s:_,rawS:_,cNext:w};l(e.measure[b])?(y=T.s,T.isSum=!0,T.dir=\"totals\",T.s=y):c(e.measure[b])?(T.isSum=!0,T.dir=\"totals\",T.s=y):(T.isSum=!1,T.dir=T.rawS<0?\"decreasing\":\"increasing\",m=T.s,T.s=y+m,y+=m),\"totals\"===T.dir&&(x=!0),h&&(v[b].orig_p=f[b]),e.ids&&(T.id=String(e.ids[b])),T.v=(e.base||0)+y}return v.length&&(v[0].hasTotals=x),a(e.text,v,\"tx\"),a(e.hovertext,v,\"htx\"),o(v,e),v}},{\"../../constants/numerical\":775,\"../../lib\":799,\"../../plots/cartesian/align_period\":846,\"../../plots/cartesian/axes\":849,\"../scatter/calc_selection\":1216}],1385:[function(t,e,r){\"use strict\";e.exports={eventDataKeys:[\"initial\",\"delta\",\"final\"]}},{}],1386:[function(t,e,r){\"use strict\";var n=t(\"../bar/cross_trace_calc\").setGroupPositions;e.exports=function(t,e){var r,i,a=t._fullLayout,o=t._fullData,s=t.calcdata,l=e.xaxis,c=e.yaxis,u=[],f=[],h=[];for(i=0;i<o.length;i++){var p=o[i];!0===p.visible&&p.xaxis===l._id&&p.yaxis===c._id&&\"waterfall\"===p.type&&(r=s[i],\"h\"===p.orientation?h.push(r):f.push(r),u.push(r))}var d={mode:a.waterfallmode,norm:a.waterfallnorm,gap:a.waterfallgap,groupgap:a.waterfallgroupgap};for(n(t,l,c,f,d),n(t,c,l,h,d),i=0;i<u.length;i++){r=u[i];for(var m=0;m<r.length;m++){var g=r[m];!1===g.isSum&&(g.s0+=0===m?0:r[m-1].s),m+1<r.length&&(r[m].nextP0=r[m+1].p0,r[m].nextS0=r[m+1].s0)}}}},{\"../bar/cross_trace_calc\":940}],1387:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../bar/defaults\").handleGroupingDefaults,a=t(\"../bar/defaults\").handleText,o=t(\"../scatter/xy_defaults\"),s=t(\"../scatter/period_defaults\"),l=t(\"./attributes\"),c=t(\"../../components/color\"),u=t(\"../../constants/delta.js\"),f=u.INCREASING.COLOR,h=u.DECREASING.COLOR;function p(t,e,r){t(e+\".marker.color\",r),t(e+\".marker.line.color\",c.defaultLine),t(e+\".marker.line.width\")}e.exports={supplyDefaults:function(t,e,r,i){function c(r,i){return n.coerce(t,e,l,r,i)}if(o(t,e,i,c)){s(t,e,i,c),c(\"xhoverformat\"),c(\"yhoverformat\"),c(\"measure\"),c(\"orientation\",e.x&&!e.y?\"h\":\"v\"),c(\"base\"),c(\"offset\"),c(\"width\"),c(\"text\"),c(\"hovertext\"),c(\"hovertemplate\");var u=c(\"textposition\");if(a(t,e,i,c,u,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),\"none\"!==e.textposition&&(c(\"texttemplate\"),e.texttemplate||c(\"textinfo\")),p(c,\"increasing\",f),p(c,\"decreasing\",h),p(c,\"totals\",\"#4499FF\"),c(\"connector.visible\"))c(\"connector.mode\"),c(\"connector.line.width\")&&(c(\"connector.line.color\"),c(\"connector.line.dash\"))}else e.visible=!1},crossTraceDefaults:function(t,e){var r,a;function o(t){return n.coerce(a._input,a,l,t)}if(\"group\"===e.waterfallmode)for(var s=0;s<t.length;s++)r=(a=t[s])._input,i(r,a,e,o)}}},{\"../../components/color\":662,\"../../constants/delta.js\":769,\"../../lib\":799,\"../bar/defaults\":941,\"../scatter/period_defaults\":1234,\"../scatter/xy_defaults\":1241,\"./attributes\":1383}],1388:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.x=\"xVal\"in e?e.xVal:e.x,t.y=\"yVal\"in e?e.yVal:e.y,\"initial\"in e&&(t.initial=e.initial),\"delta\"in e&&(t.delta=e.delta),\"final\"in e&&(t.final=e.final),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],1389:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\").hoverLabelText,i=t(\"../../components/color\").opacity,a=t(\"../bar/hover\").hoverOnBars,o=t(\"../../constants/delta.js\"),s=o.INCREASING.SYMBOL,l=o.DECREASING.SYMBOL;e.exports=function(t,e,r,o,c){var u=a(t,e,r,o,c);if(u){var f=u.cd,h=f[0].trace,p=\"h\"===h.orientation,d=p?\"x\":\"y\",m=p?t.xa:t.ya,g=f[u.index],v=g.isSum?g.b+g.s:g.rawS;if(!g.isSum){u.initial=g.b+g.s-v,u.delta=v,u.final=u.initial+u.delta;var y=k(Math.abs(u.delta));u.deltaLabel=v<0?\"(\"+y+\")\":y,u.finalLabel=k(u.final),u.initialLabel=k(u.initial)}var x=g.hi||h.hoverinfo,b=[];if(x&&\"none\"!==x&&\"skip\"!==x){var _=\"all\"===x,w=x.split(\"+\"),T=function(t){return _||-1!==w.indexOf(t)};g.isSum||(!T(\"final\")||T(p?\"x\":\"y\")||b.push(u.finalLabel),T(\"delta\")&&(v<0?b.push(u.deltaLabel+\" \"+l):b.push(u.deltaLabel+\" \"+s)),T(\"initial\")&&b.push(\"Initial: \"+u.initialLabel))}return b.length&&(u.extraText=b.join(\"<br>\")),u.color=function(t,e){var r=t[e.dir].marker,n=r.color,a=r.line.color,o=r.line.width;if(i(n))return n;if(i(a)&&o)return a}(h,g),[u]}function k(t){return n(m,t,h[d+\"hoverformat\"])}}},{\"../../components/color\":662,\"../../constants/delta.js\":769,\"../../plots/cartesian/axes\":849,\"../bar/hover\":944}],1390:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,crossTraceDefaults:t(\"./defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\"),plot:t(\"./plot\"),style:t(\"./style\").style,hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"../bar/select\"),moduleType:\"trace\",name:\"waterfall\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"bar-like\",\"cartesian\",\"svg\",\"oriented\",\"showLegend\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":863,\"../bar/select\":949,\"./attributes\":1383,\"./calc\":1384,\"./cross_trace_calc\":1386,\"./defaults\":1387,\"./event_data\":1388,\"./hover\":1389,\"./layout_attributes\":1391,\"./layout_defaults\":1392,\"./plot\":1393,\"./style\":1394}],1391:[function(t,e,r){\"use strict\";e.exports={waterfallmode:{valType:\"enumerated\",values:[\"group\",\"overlay\"],dflt:\"group\",editType:\"calc\"},waterfallgap:{valType:\"number\",min:0,max:1,editType:\"calc\"},waterfallgroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"}}},{}],1392:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e,r){var a=!1;function o(r,a){return n.coerce(t,e,i,r,a)}for(var s=0;s<r.length;s++){var l=r[s];if(l.visible&&\"waterfall\"===l.type){a=!0;break}}a&&(o(\"waterfallmode\"),o(\"waterfallgap\",.2),o(\"waterfallgroupgap\"))}},{\"../../lib\":799,\"./layout_attributes\":1391}],1393:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../bar/plot\"),l=t(\"../bar/uniform_text\").clearMinTextSize;e.exports=function(t,e,r,c){var u=t._fullLayout;l(\"waterfall\",u),s.plot(t,e,r,c,{mode:u.waterfallmode,norm:u.waterfallmode,gap:u.waterfallgap,groupgap:u.waterfallgroupgap}),function(t,e,r,s){var l=e.xaxis,c=e.yaxis;i.makeTraceGroups(s,r,\"trace bars\").each((function(r){var s=n.select(this),u=r[0].trace,f=i.ensureSingle(s,\"g\",\"lines\");if(u.connector&&u.connector.visible){var h=\"h\"===u.orientation,p=u.connector.mode,d=f.selectAll(\"g.line\").data(i.identity);d.enter().append(\"g\").classed(\"line\",!0),d.exit().remove();var m=d.size();d.each((function(r,s){if(s===m-1||r.cNext){var u=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),i[2]=o.c2p(t.nextS0,!0),a[2]=s.c2p(t.nextP0,!0),n?[i,a]:[a,i]}(r,l,c,h),f=u[0],d=u[1],g=\"\";f[0]!==o&&d[0]!==o&&f[1]!==o&&d[1]!==o&&(\"spanning\"===p&&!r.isSum&&s>0&&(g+=h?\"M\"+f[0]+\",\"+d[1]+\"V\"+d[0]:\"M\"+f[1]+\",\"+d[0]+\"H\"+f[0]),\"between\"!==p&&(r.isSum||s<m-1)&&(g+=h?\"M\"+f[1]+\",\"+d[0]+\"V\"+d[1]:\"M\"+f[0]+\",\"+d[1]+\"H\"+f[1]),f[2]!==o&&d[2]!==o&&(g+=h?\"M\"+f[1]+\",\"+d[1]+\"V\"+d[2]:\"M\"+f[1]+\",\"+d[1]+\"H\"+f[2])),\"\"===g&&(g=\"M0,0Z\"),i.ensureSingle(n.select(this),\"path\").attr(\"d\",g).call(a.setClipUrl,e.layerClipId,t)}}))}else f.remove()}))}(t,e,r,c)}},{\"../../components/drawing\":684,\"../../constants/numerical\":775,\"../../lib\":799,\"../bar/plot\":948,\"../bar/uniform_text\":953,\"@plotly/d3\":58}],1394:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../components/color\"),o=t(\"../../constants/interactions\").DESELECTDIM,s=t(\"../bar/style\"),l=t(\"../bar/uniform_text\").resizeText,c=s.styleTextPoints;e.exports={style:function(t,e,r){var s=r||n.select(t).selectAll(\"g.waterfalllayer\").selectAll(\"g.trace\");l(t,s,\"waterfall\"),s.style(\"opacity\",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(\".point > path\").each((function(t){if(!t.isBlank){var e=s[t.dir].marker;n.select(this).call(a.fill,e.color).call(a.stroke,e.line.color).call(i.dashLine,e.line.dash,e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(\".lines\").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll(\"path\"),t.width,t.color,t.dash)}))}))}}},{\"../../components/color\":662,\"../../components/drawing\":684,\"../../constants/interactions\":774,\"../bar/style\":951,\"../bar/uniform_text\":953,\"@plotly/d3\":58}],1395:[function(t,e,r){\"use strict\";var n=t(\"../plots/cartesian/axes\"),i=t(\"../lib\"),a=t(\"../plot_api/plot_schema\"),o=t(\"./helpers\").pointsAccessorFunction,s=t(\"../constants/numerical\").BADNUM;r.moduleType=\"transform\",r.name=\"aggregate\";var l=r.attributes={enabled:{valType:\"boolean\",dflt:!0,editType:\"calc\"},groups:{valType:\"string\",strict:!0,noBlank:!0,arrayOk:!0,dflt:\"x\",editType:\"calc\"},aggregations:{_isLinkedToArray:\"aggregation\",target:{valType:\"string\",editType:\"calc\"},func:{valType:\"enumerated\",values:[\"count\",\"sum\",\"avg\",\"median\",\"mode\",\"rms\",\"stddev\",\"min\",\"max\",\"first\",\"last\",\"change\",\"range\"],dflt:\"first\",editType:\"calc\"},funcmode:{valType:\"enumerated\",values:[\"sample\",\"population\"],dflt:\"sample\",editType:\"calc\"},enabled:{valType:\"boolean\",dflt:!0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},c=l.aggregations;function u(t,e,r,a){if(a.enabled){for(var o=a.target,l=i.nestedProperty(e,o),c=l.get(),u=function(t,e){var r=t.func,n=e.d2c,a=e.c2d;switch(r){case\"count\":return f;case\"first\":return h;case\"last\":return p;case\"sum\":return function(t,e){for(var r=0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r+=o)}return a(r)};case\"avg\":return function(t,e){for(var r=0,i=0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r+=l,i++)}return i?a(r/i):s};case\"min\":return function(t,e){for(var r=1/0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r=Math.min(r,o))}return r===1/0?s:a(r)};case\"max\":return function(t,e){for(var r=-1/0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r=Math.max(r,o))}return r===-1/0?s:a(r)};case\"range\":return function(t,e){for(var r=1/0,i=-1/0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r=Math.min(r,l),i=Math.max(i,l))}return i===-1/0||r===1/0?s:a(i-r)};case\"change\":return function(t,e){var r=n(t[e[0]]),i=n(t[e[e.length-1]]);return r===s||i===s?s:a(i-r)};case\"median\":return function(t,e){for(var r=[],o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&r.push(l)}if(!r.length)return s;r.sort(i.sorterAsc);var c=(r.length-1)/2;return a((r[Math.floor(c)]+r[Math.ceil(c)])/2)};case\"mode\":return function(t,e){for(var r={},i=0,o=s,l=0;l<e.length;l++){var c=n(t[e[l]]);if(c!==s){var u=r[c]=(r[c]||0)+1;u>i&&(i=u,o=c)}}return i?a(o):s};case\"rms\":return function(t,e){for(var r=0,i=0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r+=l*l,i++)}return i?a(Math.sqrt(r/i)):s};case\"stddev\":return function(e,r){var i,a=0,o=0,l=1,c=s;for(i=0;i<r.length&&c===s;i++)c=n(e[r[i]]);if(c===s)return s;for(;i<r.length;i++){var u=n(e[r[i]]);if(u!==s){var f=u-c;a+=f,o+=f*f,l++}}var h=\"sample\"===t.funcmode?l-1:l;return h?Math.sqrt((o-a*a/l)/h):0}}}(a,n.getDataConversions(t,e,o,c)),d=new Array(r.length),m=0;m<r.length;m++)d[m]=u(c,r[m]);l.set(d),\"count\"===a.func&&i.pushUnique(e._arrayAttrs,o)}}function f(t,e){return e.length}function h(t,e){return t[e[0]]}function p(t,e){return t[e[e.length-1]]}r.supplyDefaults=function(t,e){var r,n={};function o(e,r){return i.coerce(t,n,l,e,r)}if(!o(\"enabled\"))return n;var s=a.findArrayAttributes(e),u={};for(r=0;r<s.length;r++)u[s[r]]=1;var f=o(\"groups\");if(!Array.isArray(f)){if(!u[f])return n.enabled=!1,n;u[f]=0}var h,p=t.aggregations||[],d=n.aggregations=new Array(p.length);function m(t,e){return i.coerce(p[r],h,c,t,e)}for(r=0;r<p.length;r++){h={_index:r};var g=m(\"target\"),v=m(\"func\");m(\"enabled\")&&g&&(u[g]||\"count\"===v&&void 0===u[g])?(\"stddev\"===v&&m(\"funcmode\"),u[g]=0,d[r]=h):d[r]={enabled:!1,_index:r}}for(r=0;r<s.length;r++)u[s[r]]&&d.push({target:s[r],func:c.func.dflt,enabled:!0,_index:-1});return n},r.calcTransform=function(t,e,r){if(r.enabled){var n=r.groups,a=i.getTargetArray(e,{target:n});if(a){var s,l,c,f,h={},p={},d=[],m=o(e.transforms,r),g=a.length;for(e._length&&(g=Math.min(g,e._length)),s=0;s<g;s++)void 0===(c=h[l=a[s]])?(h[l]=d.length,f=[s],d.push(f),p[h[l]]=m(s)):(d[c].push(s),p[h[l]]=(p[h[l]]||[]).concat(m(s)));r._indexToPoints=p;var v=r.aggregations;for(s=0;s<v.length;s++)u(t,e,d,v[s]);\"string\"==typeof n&&u(t,e,d,{target:n,func:\"first\",enabled:!0}),e._length=d.length}}}},{\"../constants/numerical\":775,\"../lib\":799,\"../plot_api/plot_schema\":837,\"../plots/cartesian/axes\":849,\"./helpers\":1398}],1396:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../registry\"),a=t(\"../plots/cartesian/axes\"),o=t(\"./helpers\").pointsAccessorFunction,s=t(\"../constants/filter_ops\"),l=s.COMPARISON_OPS,c=s.INTERVAL_OPS,u=s.SET_OPS;r.moduleType=\"transform\",r.name=\"filter\",r.attributes={enabled:{valType:\"boolean\",dflt:!0,editType:\"calc\"},target:{valType:\"string\",strict:!0,noBlank:!0,arrayOk:!0,dflt:\"x\",editType:\"calc\"},operation:{valType:\"enumerated\",values:[].concat(l).concat(c).concat(u),dflt:\"=\",editType:\"calc\"},value:{valType:\"any\",dflt:0,editType:\"calc\"},preservegaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},editType:\"calc\"},r.supplyDefaults=function(t){var e={};function a(i,a){return n.coerce(t,e,r.attributes,i,a)}if(a(\"enabled\")){var o=a(\"target\");if(n.isArrayOrTypedArray(o)&&0===o.length)return e.enabled=!1,e;a(\"preservegaps\"),a(\"operation\"),a(\"value\");var s=i.getComponentMethod(\"calendars\",\"handleDefaults\");s(t,e,\"valuecalendar\",null),s(t,e,\"targetcalendar\",null)}return e},r.calcTransform=function(t,e,r){if(r.enabled){var i=n.getTargetArray(e,r);if(i){var s=r.target,f=i.length;e._length&&(f=Math.min(f,e._length));var h=r.targetcalendar,p=e._arrayAttrs,d=r.preservegaps;if(\"string\"==typeof s){var m=n.nestedProperty(e,s+\"calendar\").get();m&&(h=m)}var g,v,y=function(t,e,r){var n=t.operation,i=t.value,a=Array.isArray(i);function o(t){return-1!==t.indexOf(n)}var s,f=function(r){return e(r,0,t.valuecalendar)},h=function(t){return e(t,0,r)};o(l)?s=f(a?i[0]:i):o(c)?s=a?[f(i[0]),f(i[1])]:[f(i),f(i)]:o(u)&&(s=a?i.map(f):[f(i)]);switch(n){case\"=\":return function(t){return h(t)===s};case\"!=\":return function(t){return h(t)!==s};case\"<\":return function(t){return h(t)<s};case\"<=\":return function(t){return h(t)<=s};case\">\":return function(t){return h(t)>s};case\">=\":return function(t){return h(t)>=s};case\"[]\":return function(t){var e=h(t);return e>=s[0]&&e<=s[1]};case\"()\":return function(t){var e=h(t);return e>s[0]&&e<s[1]};case\"[)\":return function(t){var e=h(t);return e>=s[0]&&e<s[1]};case\"(]\":return function(t){var e=h(t);return e>s[0]&&e<=s[1]};case\"][\":return function(t){var e=h(t);return e<=s[0]||e>=s[1]};case\")(\":return function(t){var e=h(t);return e<s[0]||e>s[1]};case\"](\":return function(t){var e=h(t);return e<=s[0]||e>s[1]};case\")[\":return function(t){var e=h(t);return e<s[0]||e>=s[1]};case\"{}\":return function(t){return-1!==s.indexOf(h(t))};case\"}{\":return function(t){return-1===s.indexOf(h(t))}}}(r,a.getDataToCoordFunc(t,e,s,i),h),x={},b={},_=0;d?(g=function(t){x[t.astr]=n.extendDeep([],t.get()),t.set(new Array(f))},v=function(t,e){var r=x[t.astr][e];t.get()[e]=r}):(g=function(t){x[t.astr]=n.extendDeep([],t.get()),t.set([])},v=function(t,e){var r=x[t.astr][e];t.get().push(r)}),k(g);for(var w=o(e.transforms,r),T=0;T<f;T++){y(i[T])?(k(v,T),b[_++]=w(T)):d&&_++}r._indexToPoints=b,e._length=_}}function k(t,r){for(var i=0;i<p.length;i++){t(n.nestedProperty(e,p[i]),r)}}}},{\"../constants/filter_ops\":771,\"../lib\":799,\"../plots/cartesian/axes\":849,\"../registry\":927,\"./helpers\":1398}],1397:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../plot_api/plot_schema\"),a=t(\"../plots/plots\"),o=t(\"./helpers\").pointsAccessorFunction;function s(t,e){var r,s,l,c,u,f,h,p,d,m,g=e.transform,v=e.transformIndex,y=t.transforms[v].groups,x=o(t.transforms,g);if(!n.isArrayOrTypedArray(y)||0===y.length)return[t];var b=n.filterUnique(y),_=new Array(b.length),w=y.length,T=i.findArrayAttributes(t),k=g.styles||[],M={};for(r=0;r<k.length;r++)M[k[r].target]=k[r].value;g.styles&&(m=n.keyedContainer(g,\"styles\",\"target\",\"value.name\"));var A={},S={};for(r=0;r<b.length;r++){A[f=b[r]]=r,S[f]=0,(h=_[r]=n.extendDeepNoArrays({},t))._group=f,h.transforms[v]._indexToPoints={};var E=null;for(m&&(E=m.get(f)),h.name=E||\"\"===E?E:n.templateString(g.nameformat,{trace:t.name,group:f}),p=h.transforms,h.transforms=[],s=0;s<p.length;s++)h.transforms[s]=n.extendDeepNoArrays({},p[s]);for(s=0;s<T.length;s++)n.nestedProperty(h,T[s]).set([])}for(l=0;l<T.length;l++){for(c=T[l],s=0,d=[];s<b.length;s++)d[s]=n.nestedProperty(_[s],c).get();for(u=n.nestedProperty(t,c).get(),s=0;s<w;s++)d[A[y[s]]].push(u[s])}for(s=0;s<w;s++){(h=_[A[y[s]]]).transforms[v]._indexToPoints[S[y[s]]]=x(s),S[y[s]]++}for(r=0;r<b.length;r++)f=b[r],h=_[r],a.clearExpandedTraceDefaultColors(h),h=n.extendDeepNoArrays(h,M[f]||{});return _}r.moduleType=\"transform\",r.name=\"groupby\",r.attributes={enabled:{valType:\"boolean\",dflt:!0,editType:\"calc\"},groups:{valType:\"data_array\",dflt:[],editType:\"calc\"},nameformat:{valType:\"string\",editType:\"calc\"},styles:{_isLinkedToArray:\"style\",target:{valType:\"string\",editType:\"calc\"},value:{valType:\"any\",dflt:{},editType:\"calc\",_compareAsJSON:!0},editType:\"calc\"},editType:\"calc\"},r.supplyDefaults=function(t,e,i){var a,o={};function s(e,i){return n.coerce(t,o,r.attributes,e,i)}if(!s(\"enabled\"))return o;s(\"groups\"),s(\"nameformat\",i._dataLength>1?\"%{group} (%{trace})\":\"%{group}\");var l=t.styles,c=o.styles=[];if(l)for(a=0;a<l.length;a++){var u=c[a]={};n.coerce(l[a],c[a],r.attributes.styles,\"target\");var f=n.coerce(l[a],c[a],r.attributes.styles,\"value\");n.isPlainObject(f)?u.value=n.extendDeep({},f):f&&delete u.value}return o},r.transform=function(t,e){var r,n,i,a=[];for(n=0;n<t.length;n++)for(r=s(t[n],e),i=0;i<r.length;i++)a.push(r[i]);return a}},{\"../lib\":799,\"../plot_api/plot_schema\":837,\"../plots/plots\":913,\"./helpers\":1398}],1398:[function(t,e,r){\"use strict\";r.pointsAccessorFunction=function(t,e){for(var r,n,i=0;i<t.length&&(r=t[i])!==e;i++)r._indexToPoints&&!1!==r.enabled&&(n=r._indexToPoints);return n?function(t){return n[t]}:function(t){return[t]}}},{}],1399:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=t(\"../plots/cartesian/axes\"),a=t(\"./helpers\").pointsAccessorFunction,o=t(\"../constants/numerical\").BADNUM;r.moduleType=\"transform\",r.name=\"sort\",r.attributes={enabled:{valType:\"boolean\",dflt:!0,editType:\"calc\"},target:{valType:\"string\",strict:!0,noBlank:!0,arrayOk:!0,dflt:\"x\",editType:\"calc\"},order:{valType:\"enumerated\",values:[\"ascending\",\"descending\"],dflt:\"ascending\",editType:\"calc\"},editType:\"calc\"},r.supplyDefaults=function(t){var e={};function i(i,a){return n.coerce(t,e,r.attributes,i,a)}return i(\"enabled\")&&(i(\"target\"),i(\"order\")),e},r.calcTransform=function(t,e,r){if(r.enabled){var s=n.getTargetArray(e,r);if(s){var l=r.target,c=s.length;e._length&&(c=Math.min(c,e._length));var u,f,h=e._arrayAttrs,p=function(t,e,r,n){var i,a=new Array(n),s=new Array(n);for(i=0;i<n;i++)a[i]={v:e[i],i:i};for(a.sort(function(t,e){switch(t.order){case\"ascending\":return function(t,r){var n=e(t.v),i=e(r.v);return n===o?1:i===o?-1:n-i};case\"descending\":return function(t,r){var n=e(t.v),i=e(r.v);return n===o?1:i===o?-1:i-n}}}(t,r)),i=0;i<n;i++)s[i]=a[i].i;return s}(r,s,i.getDataToCoordFunc(t,e,l,s),c),d=a(e.transforms,r),m={};for(u=0;u<h.length;u++){var g=n.nestedProperty(e,h[u]),v=g.get(),y=new Array(c);for(f=0;f<c;f++)y[f]=v[p[f]];g.set(y)}for(f=0;f<c;f++)m[f]=d(p[f]);r._indexToPoints=m,e._length=c}}}},{\"../constants/numerical\":775,\"../lib\":799,\"../plots/cartesian/axes\":849,\"./helpers\":1398}],1400:[function(t,e,r){\"use strict\";r.version=\"2.2.0\"},{}]},{},[27])(27)}));\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": true
       },
       "data": [
        {
         "line": {
          "color": "rgba(219, 64, 82, 1.0)",
          "dash": "solid",
          "shape": "linear",
          "width": 1.3
         },
         "mode": "lines",
         "name": " SMA(20)",
         "text": "",
         "type": "scatter",
         "x": [
          "2019-12-31",
          "2020-01-02",
          "2020-01-03",
          "2020-01-06",
          "2020-01-07",
          "2020-01-08",
          "2020-01-09",
          "2020-01-10",
          "2020-01-13",
          "2020-01-14",
          "2020-01-15",
          "2020-01-16",
          "2020-01-17",
          "2020-01-21",
          "2020-01-22",
          "2020-01-23",
          "2020-01-24",
          "2020-01-27",
          "2020-01-28",
          "2020-01-29",
          "2020-01-30",
          "2020-01-31",
          "2020-02-03",
          "2020-02-04",
          "2020-02-05",
          "2020-02-06",
          "2020-02-07",
          "2020-02-10",
          "2020-02-11",
          "2020-02-12",
          "2020-02-13",
          "2020-02-14",
          "2020-02-18",
          "2020-02-19",
          "2020-02-20",
          "2020-02-21",
          "2020-02-24",
          "2020-02-25",
          "2020-02-26",
          "2020-02-27",
          "2020-02-28",
          "2020-03-02",
          "2020-03-03",
          "2020-03-04",
          "2020-03-05",
          "2020-03-06",
          "2020-03-09",
          "2020-03-10",
          "2020-03-11",
          "2020-03-12",
          "2020-03-13",
          "2020-03-16",
          "2020-03-17",
          "2020-03-18",
          "2020-03-19",
          "2020-03-20",
          "2020-03-23",
          "2020-03-24",
          "2020-03-25",
          "2020-03-26",
          "2020-03-27",
          "2020-03-30",
          "2020-03-31",
          "2020-04-01",
          "2020-04-02",
          "2020-04-03",
          "2020-04-06",
          "2020-04-07",
          "2020-04-08",
          "2020-04-09",
          "2020-04-13",
          "2020-04-14",
          "2020-04-15",
          "2020-04-16",
          "2020-04-17",
          "2020-04-20",
          "2020-04-21",
          "2020-04-22",
          "2020-04-23",
          "2020-04-24",
          "2020-04-27",
          "2020-04-28",
          "2020-04-29",
          "2020-04-30",
          "2020-05-01",
          "2020-05-04",
          "2020-05-05",
          "2020-05-06",
          "2020-05-07",
          "2020-05-08",
          "2020-05-11",
          "2020-05-12",
          "2020-05-13",
          "2020-05-14",
          "2020-05-15",
          "2020-05-18",
          "2020-05-19",
          "2020-05-20",
          "2020-05-21",
          "2020-05-22",
          "2020-05-26",
          "2020-05-27",
          "2020-05-28",
          "2020-05-29",
          "2020-06-01",
          "2020-06-02",
          "2020-06-03",
          "2020-06-04",
          "2020-06-05",
          "2020-06-08",
          "2020-06-09",
          "2020-06-10",
          "2020-06-11",
          "2020-06-12",
          "2020-06-15",
          "2020-06-16",
          "2020-06-17",
          "2020-06-18",
          "2020-06-19",
          "2020-06-22",
          "2020-06-23",
          "2020-06-24",
          "2020-06-25",
          "2020-06-26",
          "2020-06-29",
          "2020-06-30",
          "2020-07-01",
          "2020-07-02",
          "2020-07-06",
          "2020-07-07",
          "2020-07-08",
          "2020-07-09",
          "2020-07-10",
          "2020-07-13",
          "2020-07-14",
          "2020-07-15",
          "2020-07-16",
          "2020-07-17",
          "2020-07-20",
          "2020-07-21",
          "2020-07-22",
          "2020-07-23",
          "2020-07-24",
          "2020-07-27",
          "2020-07-28",
          "2020-07-29",
          "2020-07-30",
          "2020-07-31",
          "2020-08-03",
          "2020-08-04",
          "2020-08-05",
          "2020-08-06",
          "2020-08-07",
          "2020-08-10",
          "2020-08-11",
          "2020-08-12",
          "2020-08-13",
          "2020-08-14",
          "2020-08-17",
          "2020-08-18",
          "2020-08-19",
          "2020-08-20",
          "2020-08-21",
          "2020-08-24",
          "2020-08-25",
          "2020-08-26",
          "2020-08-27",
          "2020-08-28",
          "2020-08-31",
          "2020-09-01",
          "2020-09-02",
          "2020-09-03",
          "2020-09-04",
          "2020-09-08",
          "2020-09-09",
          "2020-09-10",
          "2020-09-11",
          "2020-09-14",
          "2020-09-15",
          "2020-09-16",
          "2020-09-17",
          "2020-09-18",
          "2020-09-21",
          "2020-09-22",
          "2020-09-23",
          "2020-09-24",
          "2020-09-25",
          "2020-09-28",
          "2020-09-29",
          "2020-09-30",
          "2020-10-01",
          "2020-10-02",
          "2020-10-05",
          "2020-10-06",
          "2020-10-07",
          "2020-10-08",
          "2020-10-09",
          "2020-10-12",
          "2020-10-13",
          "2020-10-14",
          "2020-10-15",
          "2020-10-16",
          "2020-10-19",
          "2020-10-20",
          "2020-10-21",
          "2020-10-22",
          "2020-10-23",
          "2020-10-26",
          "2020-10-27",
          "2020-10-28",
          "2020-10-29",
          "2020-10-30",
          "2020-11-02",
          "2020-11-03",
          "2020-11-04",
          "2020-11-05",
          "2020-11-06",
          "2020-11-09",
          "2020-11-10",
          "2020-11-11",
          "2020-11-12",
          "2020-11-13",
          "2020-11-16",
          "2020-11-17",
          "2020-11-18",
          "2020-11-19",
          "2020-11-20",
          "2020-11-23",
          "2020-11-24",
          "2020-11-25",
          "2020-11-27",
          "2020-11-30",
          "2020-12-01",
          "2020-12-02",
          "2020-12-03",
          "2020-12-04",
          "2020-12-07",
          "2020-12-08",
          "2020-12-09",
          "2020-12-10",
          "2020-12-11",
          "2020-12-14",
          "2020-12-15",
          "2020-12-16",
          "2020-12-17",
          "2020-12-18",
          "2020-12-21",
          "2020-12-22",
          "2020-12-23",
          "2020-12-24",
          "2020-12-28",
          "2020-12-29",
          "2020-12-30",
          "2020-12-31",
          "2021-01-04",
          "2021-01-05",
          "2021-01-06",
          "2021-01-07",
          "2021-01-08",
          "2021-01-11",
          "2021-01-12",
          "2021-01-13",
          "2021-01-14",
          "2021-01-15",
          "2021-01-19",
          "2021-01-20",
          "2021-01-21",
          "2021-01-22",
          "2021-01-25",
          "2021-01-26",
          "2021-01-27",
          "2021-01-28",
          "2021-01-29",
          "2021-02-01",
          "2021-02-02",
          "2021-02-03",
          "2021-02-04",
          "2021-02-05",
          "2021-02-08",
          "2021-02-09",
          "2021-02-10",
          "2021-02-11",
          "2021-02-12",
          "2021-02-16",
          "2021-02-17",
          "2021-02-18",
          "2021-02-19",
          "2021-02-22",
          "2021-02-23",
          "2021-02-24",
          "2021-02-25",
          "2021-02-26",
          "2021-03-01",
          "2021-03-02",
          "2021-03-03",
          "2021-03-04",
          "2021-03-05",
          "2021-03-08",
          "2021-03-09",
          "2021-03-10",
          "2021-03-11",
          "2021-03-12",
          "2021-03-15",
          "2021-03-16",
          "2021-03-17",
          "2021-03-18",
          "2021-03-19",
          "2021-03-22",
          "2021-03-23",
          "2021-03-24",
          "2021-03-25",
          "2021-03-26",
          "2021-03-29",
          "2021-03-30",
          "2021-03-31",
          "2021-04-01",
          "2021-04-05",
          "2021-04-06",
          "2021-04-07",
          "2021-04-08",
          "2021-04-09",
          "2021-04-12",
          "2021-04-13",
          "2021-04-14",
          "2021-04-15",
          "2021-04-16",
          "2021-04-19",
          "2021-04-20",
          "2021-04-21",
          "2021-04-22",
          "2021-04-23",
          "2021-04-26",
          "2021-04-27",
          "2021-04-28",
          "2021-04-29",
          "2021-04-30",
          "2021-05-03",
          "2021-05-04",
          "2021-05-05",
          "2021-05-06",
          "2021-05-07",
          "2021-05-10",
          "2021-05-11",
          "2021-05-12",
          "2021-05-13",
          "2021-05-14",
          "2021-05-17",
          "2021-05-18",
          "2021-05-19",
          "2021-05-20",
          "2021-05-21",
          "2021-05-24",
          "2021-05-25",
          "2021-05-26",
          "2021-05-27",
          "2021-05-28",
          "2021-06-01",
          "2021-06-02",
          "2021-06-03",
          "2021-06-04",
          "2021-06-07",
          "2021-06-08",
          "2021-06-09",
          "2021-06-10",
          "2021-06-11",
          "2021-06-14",
          "2021-06-15",
          "2021-06-16",
          "2021-06-17",
          "2021-06-18",
          "2021-06-21",
          "2021-06-22",
          "2021-06-23",
          "2021-06-24",
          "2021-06-25",
          "2021-06-28",
          "2021-06-29",
          "2021-06-30",
          "2021-07-01",
          "2021-07-02",
          "2021-07-06",
          "2021-07-07",
          "2021-07-08",
          "2021-07-09",
          "2021-07-12",
          "2021-07-13",
          "2021-07-14",
          "2021-07-15",
          "2021-07-16",
          "2021-07-19",
          "2021-07-20",
          "2021-07-21",
          "2021-07-22",
          "2021-07-23",
          "2021-07-26",
          "2021-07-27",
          "2021-07-28",
          "2021-07-29",
          "2021-07-30",
          "2021-08-02",
          "2021-08-03",
          "2021-08-04",
          "2021-08-05",
          "2021-08-06",
          "2021-08-09",
          "2021-08-10",
          "2021-08-11",
          "2021-08-12"
         ],
         "y": [
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          33.06349964141846,
          33.121999740600586,
          33.13099975585938,
          33.2084997177124,
          33.324499702453615,
          33.36699962615967,
          33.634999656677245,
          33.825499534606934,
          33.984499549865724,
          34.13249969482422,
          34.330999755859374,
          34.527499771118165,
          34.66349983215332,
          34.855499839782716,
          35.0894998550415,
          35.34099979400635,
          35.56199989318848,
          35.69699993133545,
          35.81849994659424,
          35.87900009155273,
          35.84799995422363,
          35.846999931335446,
          36.013999938964844,
          36.10699996948242,
          36.20900001525879,
          36.28800010681152,
          36.04050006866455,
          35.81200008392334,
          35.729500198364256,
          35.51200008392334,
          35.01150007247925,
          34.61800012588501,
          33.97450017929077,
          33.295500087738034,
          32.45700006484985,
          31.711000061035158,
          30.993000030517578,
          30.433000087738037,
          29.96500015258789,
          29.532000064849854,
          29.2020001411438,
          28.806500148773193,
          28.29500017166138,
          27.776500129699706,
          27.142500114440917,
          26.545000076293945,
          26.026500129699706,
          25.650000190734865,
          25.21500015258789,
          25.04300022125244,
          25.09250020980835,
          24.988500118255615,
          25.18350009918213,
          25.335000133514406,
          25.562500095367433,
          25.691000175476074,
          25.844000148773194,
          25.897000122070313,
          26.026500129699706,
          26.12100019454956,
          26.237500190734863,
          26.473000144958498,
          26.63300018310547,
          26.959500217437743,
          27.227500247955323,
          27.468500232696535,
          27.725500202178956,
          27.882500171661377,
          27.98600015640259,
          28.031500148773194,
          28.1395001411438,
          28.263500213623047,
          28.32400016784668,
          28.35500011444092,
          28.45550012588501,
          28.570500087738036,
          28.702000045776366,
          28.908500003814698,
          29.09799995422363,
          29.321999931335448,
          29.51599988937378,
          29.71649980545044,
          29.930499744415282,
          29.955999755859374,
          30.07049970626831,
          30.272999668121336,
          30.47449960708618,
          30.814999675750734,
          31.1169997215271,
          31.421999645233154,
          31.757499599456786,
          32.068999481201175,
          32.36849946975708,
          32.61349945068359,
          32.85549955368042,
          33.110999584198,
          33.360499668121335,
          33.5834997177124,
          33.67349967956543,
          33.72699966430664,
          33.76949977874756,
          33.7144998550415,
          33.64749984741211,
          33.635999870300296,
          33.539999866485594,
          33.41999988555908,
          33.296500015258786,
          33.09299993515015,
          32.95049991607666,
          32.82399997711182,
          32.641500091552736,
          32.616000175476074,
          32.645000267028806,
          32.76350040435791,
          32.78450031280518,
          32.79800033569336,
          32.85000019073486,
          32.89700012207031,
          32.98600025177002,
          33.16850032806396,
          33.34550018310547,
          33.547000122070315,
          33.882500076293944,
          34.191000080108644,
          34.58100004196167,
          34.93700008392334,
          35.30550003051758,
          35.60100011825561,
          35.87750015258789,
          36.08000011444092,
          36.24799995422363,
          36.317000007629396,
          36.41549987792969,
          36.50249977111817,
          36.6834997177124,
          36.82849960327148,
          36.916999626159665,
          37.043999671936035,
          37.14849967956543,
          37.193999671936034,
          37.24399967193604,
          37.341499710083006,
          37.36749973297119,
          37.45349960327148,
          37.63549976348877,
          37.83249969482422,
          38.02849979400635,
          38.21199970245361,
          38.44549961090088,
          38.65499973297119,
          38.89499988555908,
          39.23899974822998,
          39.43599987030029,
          39.57249984741211,
          39.60999984741211,
          39.723999977111816,
          39.79950008392334,
          39.85500011444092,
          39.89850006103516,
          39.95450000762939,
          40.03400001525879,
          40.05699996948242,
          40.11650009155274,
          40.14850025177002,
          40.2605001449585,
          40.4995002746582,
          40.60250015258789,
          40.775000190734865,
          40.929000282287596,
          41.137000274658206,
          41.30450019836426,
          41.456000328063965,
          41.680500221252444,
          42.052500343322755,
          42.42300033569336,
          42.73850021362305,
          43.09150009155273,
          43.44000015258789,
          43.91400012969971,
          44.30950012207031,
          44.62850017547608,
          44.962500190734865,
          45.24550018310547,
          45.541500091552734,
          45.722500038146975,
          45.96800003051758,
          46.325,
          46.65499992370606,
          46.89749984741211,
          47.22399978637695,
          47.425499725341794,
          47.71199970245361,
          47.47399978637695,
          47.08199977874756,
          46.88849983215332,
          46.73299980163574,
          46.61799983978271,
          46.47899971008301,
          46.225999641418454,
          45.996499633789064,
          45.87899971008301,
          45.71799983978271,
          45.60149974822998,
          45.44699974060059,
          45.271999740600585,
          44.92649974822998,
          44.593499755859376,
          44.30549983978271,
          44.10249977111816,
          43.800499725341794,
          43.69549980163574,
          43.40349979400635,
          43.66099967956543,
          44.02099952697754,
          44.29599952697754,
          44.547499656677246,
          44.74849967956543,
          44.98749980926514,
          45.199499893188474,
          45.44049987792969,
          45.819499778747556,
          46.25099964141846,
          46.67799968719483,
          47.182499694824216,
          47.741499710083005,
          48.30649967193604,
          48.918999671936035,
          49.416999626159665,
          49.915499687194824,
          50.36899967193604,
          50.7459997177124,
          51.1379997253418,
          51.53049983978271,
          51.913500022888186,
          52.259500122070314,
          52.59650001525879,
          52.90400009155273,
          53.17199993133545,
          53.4170000076294,
          53.629500007629396,
          53.47800006866455,
          53.258000183105466,
          53.01800022125244,
          52.6665002822876,
          52.22400035858154,
          51.78900032043457,
          51.37550029754639,
          50.9995002746582,
          50.657000350952146,
          50.33400039672851,
          50.11900024414062,
          49.807000160217285,
          49.66750011444092,
          49.47749996185303,
          49.40299987792969,
          49.37649993896484,
          49.411499977111816,
          49.57399997711182,
          49.79649982452393,
          50.132499885559085,
          50.71699981689453,
          51.753499603271486,
          52.820499420166016,
          54.125999450683594,
          55.564999389648435,
          56.85799942016602,
          58.090999603271484,
          59.34899959564209,
          60.470499420166014,
          61.736999320983884,
          62.84949932098389,
          64.16949920654297,
          65.44399909973144,
          66.7989990234375,
          67.84949893951416,
          68.69249897003174,
          69.300998878479,
          69.82299880981445,
          70.15799884796142,
          70.62399864196777,
          70.87199878692627,
          70.90649890899658,
          70.88349895477295,
          70.80249881744385,
          70.56699886322022,
          70.48749866485596,
          70.21049861907959,
          69.90799884796142,
          69.64399890899658,
          69.19899883270264,
          68.70599899291992,
          68.03649921417237,
          67.24649925231934,
          66.51199932098389,
          65.97799949645996,
          65.61649951934814,
          65.47049961090087,
          65.33499965667724,
          65.51099967956543,
          65.58449974060059,
          65.90399971008301,
          66.04049987792969,
          66.17849998474121,
          66.28699989318848,
          66.31149978637696,
          66.38699989318847,
          66.55699996948242,
          66.64249992370605,
          66.66699981689453,
          66.82000007629395,
          66.93249988555908,
          67.22349967956544,
          67.49649982452392,
          67.65,
          67.78549976348877,
          67.85849952697754,
          67.42799949645996,
          66.94499969482422,
          66.31499977111817,
          65.54349994659424,
          64.67299995422363,
          63.802999877929686,
          62.85049991607666,
          61.87200012207031,
          60.92000026702881,
          59.84000034332276,
          58.92050018310547,
          58.15349998474121,
          57.528000068664554,
          56.80749988555908,
          56.32749996185303,
          55.69900016784668,
          55.216000175476076,
          54.76550006866455,
          54.373000144958496,
          54.0225004196167,
          54.16150035858154,
          54.30450019836426,
          54.44250011444092,
          54.61499996185303,
          54.87449989318848,
          55.16649990081787,
          55.51649990081787,
          55.85799980163574,
          56.337999725341795,
          56.85749969482422,
          57.312499809265134,
          57.6939998626709,
          58.030999946594235,
          58.42049999237061,
          58.72749996185303,
          59.10299987792969,
          59.43899974822998,
          59.913499641418454,
          60.4334997177124,
          60.92599964141846,
          61.44049968719482,
          62.018499755859374,
          62.600999641418454,
          63.155999755859376,
          63.66599960327149,
          64.19499950408935,
          64.69249954223633,
          65.04849967956542,
          65.48199977874756,
          65.94999980926514,
          66.38849964141846,
          66.89049949645997,
          67.29749946594238,
          67.58249969482422,
          67.84099960327148,
          68.13999977111817,
          68.4279998779297,
          68.58199996948242,
          68.75400009155274,
          68.79200019836426,
          68.79400024414062,
          68.84200019836426,
          68.92000045776368,
          69.00200042724609,
          68.99850044250488,
          68.91950035095215,
          68.91650009155273,
          69.03899993896485,
          68.9590000152588,
          68.81650009155274,
          68.62050018310546,
          68.38000030517578,
          68.22400016784668
         ],
         "yaxis": "y2"
        },
        {
         "line": {
          "color": "rgba(0, 128, 0, 1.0)",
          "dash": "solid",
          "shape": "linear",
          "width": 1.3
         },
         "mode": "lines",
         "name": " EMA(20)",
         "text": "",
         "type": "scatter",
         "x": [
          "2019-12-31",
          "2020-01-02",
          "2020-01-03",
          "2020-01-06",
          "2020-01-07",
          "2020-01-08",
          "2020-01-09",
          "2020-01-10",
          "2020-01-13",
          "2020-01-14",
          "2020-01-15",
          "2020-01-16",
          "2020-01-17",
          "2020-01-21",
          "2020-01-22",
          "2020-01-23",
          "2020-01-24",
          "2020-01-27",
          "2020-01-28",
          "2020-01-29",
          "2020-01-30",
          "2020-01-31",
          "2020-02-03",
          "2020-02-04",
          "2020-02-05",
          "2020-02-06",
          "2020-02-07",
          "2020-02-10",
          "2020-02-11",
          "2020-02-12",
          "2020-02-13",
          "2020-02-14",
          "2020-02-18",
          "2020-02-19",
          "2020-02-20",
          "2020-02-21",
          "2020-02-24",
          "2020-02-25",
          "2020-02-26",
          "2020-02-27",
          "2020-02-28",
          "2020-03-02",
          "2020-03-03",
          "2020-03-04",
          "2020-03-05",
          "2020-03-06",
          "2020-03-09",
          "2020-03-10",
          "2020-03-11",
          "2020-03-12",
          "2020-03-13",
          "2020-03-16",
          "2020-03-17",
          "2020-03-18",
          "2020-03-19",
          "2020-03-20",
          "2020-03-23",
          "2020-03-24",
          "2020-03-25",
          "2020-03-26",
          "2020-03-27",
          "2020-03-30",
          "2020-03-31",
          "2020-04-01",
          "2020-04-02",
          "2020-04-03",
          "2020-04-06",
          "2020-04-07",
          "2020-04-08",
          "2020-04-09",
          "2020-04-13",
          "2020-04-14",
          "2020-04-15",
          "2020-04-16",
          "2020-04-17",
          "2020-04-20",
          "2020-04-21",
          "2020-04-22",
          "2020-04-23",
          "2020-04-24",
          "2020-04-27",
          "2020-04-28",
          "2020-04-29",
          "2020-04-30",
          "2020-05-01",
          "2020-05-04",
          "2020-05-05",
          "2020-05-06",
          "2020-05-07",
          "2020-05-08",
          "2020-05-11",
          "2020-05-12",
          "2020-05-13",
          "2020-05-14",
          "2020-05-15",
          "2020-05-18",
          "2020-05-19",
          "2020-05-20",
          "2020-05-21",
          "2020-05-22",
          "2020-05-26",
          "2020-05-27",
          "2020-05-28",
          "2020-05-29",
          "2020-06-01",
          "2020-06-02",
          "2020-06-03",
          "2020-06-04",
          "2020-06-05",
          "2020-06-08",
          "2020-06-09",
          "2020-06-10",
          "2020-06-11",
          "2020-06-12",
          "2020-06-15",
          "2020-06-16",
          "2020-06-17",
          "2020-06-18",
          "2020-06-19",
          "2020-06-22",
          "2020-06-23",
          "2020-06-24",
          "2020-06-25",
          "2020-06-26",
          "2020-06-29",
          "2020-06-30",
          "2020-07-01",
          "2020-07-02",
          "2020-07-06",
          "2020-07-07",
          "2020-07-08",
          "2020-07-09",
          "2020-07-10",
          "2020-07-13",
          "2020-07-14",
          "2020-07-15",
          "2020-07-16",
          "2020-07-17",
          "2020-07-20",
          "2020-07-21",
          "2020-07-22",
          "2020-07-23",
          "2020-07-24",
          "2020-07-27",
          "2020-07-28",
          "2020-07-29",
          "2020-07-30",
          "2020-07-31",
          "2020-08-03",
          "2020-08-04",
          "2020-08-05",
          "2020-08-06",
          "2020-08-07",
          "2020-08-10",
          "2020-08-11",
          "2020-08-12",
          "2020-08-13",
          "2020-08-14",
          "2020-08-17",
          "2020-08-18",
          "2020-08-19",
          "2020-08-20",
          "2020-08-21",
          "2020-08-24",
          "2020-08-25",
          "2020-08-26",
          "2020-08-27",
          "2020-08-28",
          "2020-08-31",
          "2020-09-01",
          "2020-09-02",
          "2020-09-03",
          "2020-09-04",
          "2020-09-08",
          "2020-09-09",
          "2020-09-10",
          "2020-09-11",
          "2020-09-14",
          "2020-09-15",
          "2020-09-16",
          "2020-09-17",
          "2020-09-18",
          "2020-09-21",
          "2020-09-22",
          "2020-09-23",
          "2020-09-24",
          "2020-09-25",
          "2020-09-28",
          "2020-09-29",
          "2020-09-30",
          "2020-10-01",
          "2020-10-02",
          "2020-10-05",
          "2020-10-06",
          "2020-10-07",
          "2020-10-08",
          "2020-10-09",
          "2020-10-12",
          "2020-10-13",
          "2020-10-14",
          "2020-10-15",
          "2020-10-16",
          "2020-10-19",
          "2020-10-20",
          "2020-10-21",
          "2020-10-22",
          "2020-10-23",
          "2020-10-26",
          "2020-10-27",
          "2020-10-28",
          "2020-10-29",
          "2020-10-30",
          "2020-11-02",
          "2020-11-03",
          "2020-11-04",
          "2020-11-05",
          "2020-11-06",
          "2020-11-09",
          "2020-11-10",
          "2020-11-11",
          "2020-11-12",
          "2020-11-13",
          "2020-11-16",
          "2020-11-17",
          "2020-11-18",
          "2020-11-19",
          "2020-11-20",
          "2020-11-23",
          "2020-11-24",
          "2020-11-25",
          "2020-11-27",
          "2020-11-30",
          "2020-12-01",
          "2020-12-02",
          "2020-12-03",
          "2020-12-04",
          "2020-12-07",
          "2020-12-08",
          "2020-12-09",
          "2020-12-10",
          "2020-12-11",
          "2020-12-14",
          "2020-12-15",
          "2020-12-16",
          "2020-12-17",
          "2020-12-18",
          "2020-12-21",
          "2020-12-22",
          "2020-12-23",
          "2020-12-24",
          "2020-12-28",
          "2020-12-29",
          "2020-12-30",
          "2020-12-31",
          "2021-01-04",
          "2021-01-05",
          "2021-01-06",
          "2021-01-07",
          "2021-01-08",
          "2021-01-11",
          "2021-01-12",
          "2021-01-13",
          "2021-01-14",
          "2021-01-15",
          "2021-01-19",
          "2021-01-20",
          "2021-01-21",
          "2021-01-22",
          "2021-01-25",
          "2021-01-26",
          "2021-01-27",
          "2021-01-28",
          "2021-01-29",
          "2021-02-01",
          "2021-02-02",
          "2021-02-03",
          "2021-02-04",
          "2021-02-05",
          "2021-02-08",
          "2021-02-09",
          "2021-02-10",
          "2021-02-11",
          "2021-02-12",
          "2021-02-16",
          "2021-02-17",
          "2021-02-18",
          "2021-02-19",
          "2021-02-22",
          "2021-02-23",
          "2021-02-24",
          "2021-02-25",
          "2021-02-26",
          "2021-03-01",
          "2021-03-02",
          "2021-03-03",
          "2021-03-04",
          "2021-03-05",
          "2021-03-08",
          "2021-03-09",
          "2021-03-10",
          "2021-03-11",
          "2021-03-12",
          "2021-03-15",
          "2021-03-16",
          "2021-03-17",
          "2021-03-18",
          "2021-03-19",
          "2021-03-22",
          "2021-03-23",
          "2021-03-24",
          "2021-03-25",
          "2021-03-26",
          "2021-03-29",
          "2021-03-30",
          "2021-03-31",
          "2021-04-01",
          "2021-04-05",
          "2021-04-06",
          "2021-04-07",
          "2021-04-08",
          "2021-04-09",
          "2021-04-12",
          "2021-04-13",
          "2021-04-14",
          "2021-04-15",
          "2021-04-16",
          "2021-04-19",
          "2021-04-20",
          "2021-04-21",
          "2021-04-22",
          "2021-04-23",
          "2021-04-26",
          "2021-04-27",
          "2021-04-28",
          "2021-04-29",
          "2021-04-30",
          "2021-05-03",
          "2021-05-04",
          "2021-05-05",
          "2021-05-06",
          "2021-05-07",
          "2021-05-10",
          "2021-05-11",
          "2021-05-12",
          "2021-05-13",
          "2021-05-14",
          "2021-05-17",
          "2021-05-18",
          "2021-05-19",
          "2021-05-20",
          "2021-05-21",
          "2021-05-24",
          "2021-05-25",
          "2021-05-26",
          "2021-05-27",
          "2021-05-28",
          "2021-06-01",
          "2021-06-02",
          "2021-06-03",
          "2021-06-04",
          "2021-06-07",
          "2021-06-08",
          "2021-06-09",
          "2021-06-10",
          "2021-06-11",
          "2021-06-14",
          "2021-06-15",
          "2021-06-16",
          "2021-06-17",
          "2021-06-18",
          "2021-06-21",
          "2021-06-22",
          "2021-06-23",
          "2021-06-24",
          "2021-06-25",
          "2021-06-28",
          "2021-06-29",
          "2021-06-30",
          "2021-07-01",
          "2021-07-02",
          "2021-07-06",
          "2021-07-07",
          "2021-07-08",
          "2021-07-09",
          "2021-07-12",
          "2021-07-13",
          "2021-07-14",
          "2021-07-15",
          "2021-07-16",
          "2021-07-19",
          "2021-07-20",
          "2021-07-21",
          "2021-07-22",
          "2021-07-23",
          "2021-07-26",
          "2021-07-27",
          "2021-07-28",
          "2021-07-29",
          "2021-07-30",
          "2021-08-02",
          "2021-08-03",
          "2021-08-04",
          "2021-08-05",
          "2021-08-06",
          "2021-08-09",
          "2021-08-10",
          "2021-08-11",
          "2021-08-12"
         ],
         "y": [
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          33.15252437010987,
          33.15895073683304,
          33.09428871830002,
          33.091975477968994,
          33.17464439287411,
          33.1951543925669,
          33.691806340647396,
          34.00972943004258,
          34.19546939713116,
          34.33399626653571,
          34.56790147120158,
          34.81476798322163,
          35.0143138750493,
          35.30437935107232,
          35.63443850409055,
          35.95973000246864,
          36.18356537111839,
          36.155606706216496,
          36.065548837478985,
          35.92883000230149,
          35.65084603270451,
          35.417432197488786,
          35.45577195913978,
          35.40569846828607,
          35.462298614163586,
          35.41541314811973,
          35.229183237296205,
          34.96545141321777,
          34.90302759989141,
          34.55988204152656,
          33.818940960109316,
          33.3876133368158,
          32.497364534788325,
          31.733805964069088,
          30.806776824633936,
          30.170893237598953,
          29.57842728763138,
          29.11286283491007,
          28.802114029820515,
          28.532388818728514,
          28.330256535745995,
          28.040708381439458,
          27.807307597739307,
          27.49804015661579,
          27.10013154120707,
          26.711547628498174,
          26.366638345078147,
          26.229815674611256,
          26.170785668491288,
          26.331663282001788,
          26.46864777493149,
          26.539252661554457,
          26.672657220840474,
          26.75240417398727,
          26.73312751332758,
          26.72997258471919,
          26.75664188416325,
          26.660771228528656,
          26.830221638579033,
          26.92829582636689,
          27.100839059200347,
          27.37694962499079,
          27.511525938375225,
          27.85233300639548,
          27.931158463422175,
          27.922476719533197,
          27.951764607409686,
          27.963025091925356,
          27.936070350330162,
          28.01549226532383,
          28.197826364357347,
          28.339938190043085,
          28.417086897518057,
          28.389745208303633,
          28.405959899507327,
          28.462535147173295,
          28.574674598837593,
          28.698991223783214,
          29.035277730302557,
          29.350013199091634,
          29.6614404117386,
          30.075588784099992,
          30.360770775597537,
          30.47879264282346,
          30.52557423049308,
          30.655519483745973,
          30.80832699210666,
          31.196105475536047,
          31.436476498885295,
          31.763478635361437,
          32.22790918338877,
          32.579536705822726,
          32.82339029475851,
          32.84306729328597,
          32.89610864877101,
          33.01171740701678,
          33.16583966045473,
          33.277664469229315,
          33.34931535590242,
          33.3550948312843,
          33.36603829694324,
          33.32260606365456,
          33.17092925209092,
          32.99941226039021,
          32.62327768673977,
          32.32487026620438,
          32.08345413756847,
          31.96217274027074,
          31.858156368743373,
          31.904046252919038,
          32.007470579161684,
          32.331520985661726,
          32.654233388999,
          32.915735116320896,
          33.00185555236883,
          33.13310750624944,
          33.374716140791904,
          33.55617163017333,
          33.77082208189882,
          34.084077252507605,
          34.36273640193861,
          34.60818994715484,
          34.973124107112376,
          35.21758856505666,
          35.37305617544375,
          35.49086040733973,
          35.64982606829901,
          35.75174751138512,
          35.813485988955954,
          35.86839202711714,
          35.914259307784185,
          35.997663270426386,
          36.158838066262824,
          36.25228200182335,
          36.36539787086008,
          36.452502719282634,
          36.546549948561335,
          36.66783087677685,
          36.78518046240562,
          36.89802053462443,
          37.00392318099669,
          37.18354948658258,
          37.3527351625721,
          37.534379272949344,
          37.815867121093866,
          38.07626065594784,
          38.36233124405326,
          38.555442496014706,
          38.79492413399657,
          38.96493153371639,
          39.17303343773187,
          39.60131579308553,
          39.79452391451693,
          39.8017120114091,
          39.64821549858052,
          39.63981415331485,
          39.57411763994577,
          39.512773131872436,
          39.442032877195416,
          39.408505951042315,
          39.42674333419268,
          39.419434299900146,
          39.48901213094574,
          39.52815397808224,
          39.83309165085882,
          40.35660690611557,
          40.621691904547276,
          40.92819745197972,
          41.23503593520822,
          41.56884219647094,
          41.84800008252133,
          42.31009538541829,
          42.67294334222462,
          43.1145679166119,
          43.351275588755634,
          43.59115400238698,
          43.821520128019955,
          44.01947073733986,
          44.42237828616464,
          44.66786606843467,
          44.79283116117769,
          44.91065664861761,
          44.99630852715793,
          45.074755305030905,
          45.19620703542044,
          45.67656842999629,
          46.11499036802492,
          46.52689591647102,
          46.76242963871187,
          47.191722097669185,
          47.31917701972896,
          47.80592209453342,
          47.19202481032563,
          46.45659399226634,
          46.00644213988254,
          45.69725701432546,
          45.50799435433948,
          45.280566218867605,
          45.08146454342393,
          44.827039334279945,
          44.713035689883306,
          44.53179432639833,
          44.43162339457338,
          44.269563980065094,
          44.134367265213285,
          44.05776103338866,
          44.016069404674,
          44.07930091900751,
          44.16127212926479,
          44.26305569240493,
          44.46943136981168,
          44.67139030150465,
          44.84649582722166,
          45.02016271690963,
          45.23062336694074,
          45.474373609663274,
          45.689195127051185,
          45.89974811741573,
          46.04548642101193,
          46.15829719446187,
          46.63941166017719,
          47.0966104188945,
          47.56550470831061,
          48.065932802264285,
          48.6339390857912,
          49.2049926079173,
          49.83975511496182,
          50.29692123636055,
          50.736262056460696,
          51.075665597470206,
          51.35131660920668,
          51.64452458025135,
          51.903141345022796,
          52.13427091512107,
          52.32624525900277,
          52.536126546649825,
          52.6641145963132,
          52.72086542728653,
          52.6836403228835,
          52.569007867583764,
          52.151007147354434,
          51.66424464908519,
          51.24098337019166,
          50.72184218403315,
          50.194047719380066,
          49.787947965646325,
          49.579571823596304,
          49.34532678629044,
          49.22291484219526,
          49.09120868128027,
          49.146331489629326,
          49.0552521693512,
          49.294751933681965,
          49.412394490407195,
          49.72169023869338,
          50.129148311198776,
          50.553039122613626,
          51.12036857012978,
          51.65938097100283,
          52.28229714166346,
          53.004935407398825,
          54.411131715557644,
          55.75864274822775,
          57.29591501276595,
          58.88297063864278,
          60.11221161739369,
          61.2691440477591,
          62.317796879334125,
          63.09610173499464,
          64.05552044298994,
          64.80451832165235,
          65.73646860891314,
          66.81489993745416,
          67.84490920564119,
          68.39967958309873,
          68.63399587140853,
          68.45456769317914,
          68.31127524128038,
          67.85115374613333,
          67.81961497441267,
          67.53488991314049,
          67.62299554850546,
          67.66842439856408,
          67.91714576815768,
          68.04408426642837,
          68.24940928374397,
          68.10375137297818,
          67.92529918097394,
          67.66669917178334,
          67.34320369285791,
          66.84004156718487,
          66.3028948239234,
          65.8226189665529,
          65.54808369609157,
          65.30445683727017,
          65.14498485925542,
          65.01974838037916,
          64.94548642641634,
          65.14115438580527,
          65.50771090751614,
          66.05173855639109,
          66.54109702163063,
          66.95242117293739,
          67.47599981820451,
          67.6916186796869,
          68.07432157538078,
          68.26914835359042,
          68.2378011238586,
          67.99610548808562,
          67.93266704455887,
          67.58765090303838,
          67.53358859256485,
          67.45610408095897,
          67.31838008622292,
          67.16424835879619,
          66.96670054728138,
          65.84796727808344,
          64.77482771169976,
          63.786749027335865,
          62.81277306028397,
          61.95536623295131,
          61.17771239319665,
          60.28554943891992,
          59.580259117890904,
          58.73452022694315,
          57.91313740631537,
          57.32426713354594,
          56.874336785029286,
          56.52344743661783,
          56.18026179207759,
          56.04023677230569,
          55.88878572379462,
          56.00033007136571,
          56.09553673123565,
          56.262628325796165,
          56.43571151677316,
          56.584691372318574,
          56.66614920607004,
          56.71318260048357,
          56.741450764393065,
          56.956550691593726,
          57.211165013167204,
          57.363435142702805,
          57.586917422871366,
          57.84530616707986,
          58.09813415116749,
          58.358312025442466,
          58.536567979422834,
          58.669275819970736,
          58.86363041658997,
          59.05280832683103,
          59.32968363708262,
          59.75352317443636,
          60.39509219246809,
          61.143178650328274,
          61.789542617456604,
          62.40863388393953,
          63.03638303785005,
          63.58625108744469,
          64.01708437534059,
          64.51069509656931,
          65.0534859525601,
          65.40648749386203,
          65.54206028788039,
          65.86853085291112,
          66.24867082981021,
          66.56784489117315,
          66.92043077230583,
          67.0299135268314,
          66.97087449209596,
          66.88031469695028,
          66.98123733927942,
          67.22492910844589,
          67.44826916429145,
          67.8522437621119,
          67.93203030299708,
          67.96993235328827,
          68.15946251816297,
          68.36999015896478,
          68.5014196676348,
          68.56128419961416,
          68.56782829997643,
          68.58041579028745,
          68.64704274162168,
          68.52541988495123,
          68.38109438507306,
          68.12384732984475,
          67.87014749695217,
          67.59203792088455
         ],
         "yaxis": "y2"
        },
        {
         "marker": {
          "color": [
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#17BECF",
           "#17BECF",
           "#808080",
           "#808080",
           "#808080",
           "#808080",
           "#808080"
          ],
          "line": {
           "color": [
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#17BECF",
            "#17BECF",
            "#808080",
            "#808080",
            "#808080",
            "#808080",
            "#808080"
           ],
           "width": 1
          }
         },
         "name": "Volume",
         "opacity": 0.8,
         "orientation": "v",
         "text": "",
         "type": "bar",
         "x": [
          "2019-12-31",
          "2020-01-02",
          "2020-01-03",
          "2020-01-06",
          "2020-01-07",
          "2020-01-08",
          "2020-01-09",
          "2020-01-10",
          "2020-01-13",
          "2020-01-14",
          "2020-01-15",
          "2020-01-16",
          "2020-01-17",
          "2020-01-21",
          "2020-01-22",
          "2020-01-23",
          "2020-01-24",
          "2020-01-27",
          "2020-01-28",
          "2020-01-29",
          "2020-01-30",
          "2020-01-31",
          "2020-02-03",
          "2020-02-04",
          "2020-02-05",
          "2020-02-06",
          "2020-02-07",
          "2020-02-10",
          "2020-02-11",
          "2020-02-12",
          "2020-02-13",
          "2020-02-14",
          "2020-02-18",
          "2020-02-19",
          "2020-02-20",
          "2020-02-21",
          "2020-02-24",
          "2020-02-25",
          "2020-02-26",
          "2020-02-27",
          "2020-02-28",
          "2020-03-02",
          "2020-03-03",
          "2020-03-04",
          "2020-03-05",
          "2020-03-06",
          "2020-03-09",
          "2020-03-10",
          "2020-03-11",
          "2020-03-12",
          "2020-03-13",
          "2020-03-16",
          "2020-03-17",
          "2020-03-18",
          "2020-03-19",
          "2020-03-20",
          "2020-03-23",
          "2020-03-24",
          "2020-03-25",
          "2020-03-26",
          "2020-03-27",
          "2020-03-30",
          "2020-03-31",
          "2020-04-01",
          "2020-04-02",
          "2020-04-03",
          "2020-04-06",
          "2020-04-07",
          "2020-04-08",
          "2020-04-09",
          "2020-04-13",
          "2020-04-14",
          "2020-04-15",
          "2020-04-16",
          "2020-04-17",
          "2020-04-20",
          "2020-04-21",
          "2020-04-22",
          "2020-04-23",
          "2020-04-24",
          "2020-04-27",
          "2020-04-28",
          "2020-04-29",
          "2020-04-30",
          "2020-05-01",
          "2020-05-04",
          "2020-05-05",
          "2020-05-06",
          "2020-05-07",
          "2020-05-08",
          "2020-05-11",
          "2020-05-12",
          "2020-05-13",
          "2020-05-14",
          "2020-05-15",
          "2020-05-18",
          "2020-05-19",
          "2020-05-20",
          "2020-05-21",
          "2020-05-22",
          "2020-05-26",
          "2020-05-27",
          "2020-05-28",
          "2020-05-29",
          "2020-06-01",
          "2020-06-02",
          "2020-06-03",
          "2020-06-04",
          "2020-06-05",
          "2020-06-08",
          "2020-06-09",
          "2020-06-10",
          "2020-06-11",
          "2020-06-12",
          "2020-06-15",
          "2020-06-16",
          "2020-06-17",
          "2020-06-18",
          "2020-06-19",
          "2020-06-22",
          "2020-06-23",
          "2020-06-24",
          "2020-06-25",
          "2020-06-26",
          "2020-06-29",
          "2020-06-30",
          "2020-07-01",
          "2020-07-02",
          "2020-07-06",
          "2020-07-07",
          "2020-07-08",
          "2020-07-09",
          "2020-07-10",
          "2020-07-13",
          "2020-07-14",
          "2020-07-15",
          "2020-07-16",
          "2020-07-17",
          "2020-07-20",
          "2020-07-21",
          "2020-07-22",
          "2020-07-23",
          "2020-07-24",
          "2020-07-27",
          "2020-07-28",
          "2020-07-29",
          "2020-07-30",
          "2020-07-31",
          "2020-08-03",
          "2020-08-04",
          "2020-08-05",
          "2020-08-06",
          "2020-08-07",
          "2020-08-10",
          "2020-08-11",
          "2020-08-12",
          "2020-08-13",
          "2020-08-14",
          "2020-08-17",
          "2020-08-18",
          "2020-08-19",
          "2020-08-20",
          "2020-08-21",
          "2020-08-24",
          "2020-08-25",
          "2020-08-26",
          "2020-08-27",
          "2020-08-28",
          "2020-08-31",
          "2020-09-01",
          "2020-09-02",
          "2020-09-03",
          "2020-09-04",
          "2020-09-08",
          "2020-09-09",
          "2020-09-10",
          "2020-09-11",
          "2020-09-14",
          "2020-09-15",
          "2020-09-16",
          "2020-09-17",
          "2020-09-18",
          "2020-09-21",
          "2020-09-22",
          "2020-09-23",
          "2020-09-24",
          "2020-09-25",
          "2020-09-28",
          "2020-09-29",
          "2020-09-30",
          "2020-10-01",
          "2020-10-02",
          "2020-10-05",
          "2020-10-06",
          "2020-10-07",
          "2020-10-08",
          "2020-10-09",
          "2020-10-12",
          "2020-10-13",
          "2020-10-14",
          "2020-10-15",
          "2020-10-16",
          "2020-10-19",
          "2020-10-20",
          "2020-10-21",
          "2020-10-22",
          "2020-10-23",
          "2020-10-26",
          "2020-10-27",
          "2020-10-28",
          "2020-10-29",
          "2020-10-30",
          "2020-11-02",
          "2020-11-03",
          "2020-11-04",
          "2020-11-05",
          "2020-11-06",
          "2020-11-09",
          "2020-11-10",
          "2020-11-11",
          "2020-11-12",
          "2020-11-13",
          "2020-11-16",
          "2020-11-17",
          "2020-11-18",
          "2020-11-19",
          "2020-11-20",
          "2020-11-23",
          "2020-11-24",
          "2020-11-25",
          "2020-11-27",
          "2020-11-30",
          "2020-12-01",
          "2020-12-02",
          "2020-12-03",
          "2020-12-04",
          "2020-12-07",
          "2020-12-08",
          "2020-12-09",
          "2020-12-10",
          "2020-12-11",
          "2020-12-14",
          "2020-12-15",
          "2020-12-16",
          "2020-12-17",
          "2020-12-18",
          "2020-12-21",
          "2020-12-22",
          "2020-12-23",
          "2020-12-24",
          "2020-12-28",
          "2020-12-29",
          "2020-12-30",
          "2020-12-31",
          "2021-01-04",
          "2021-01-05",
          "2021-01-06",
          "2021-01-07",
          "2021-01-08",
          "2021-01-11",
          "2021-01-12",
          "2021-01-13",
          "2021-01-14",
          "2021-01-15",
          "2021-01-19",
          "2021-01-20",
          "2021-01-21",
          "2021-01-22",
          "2021-01-25",
          "2021-01-26",
          "2021-01-27",
          "2021-01-28",
          "2021-01-29",
          "2021-02-01",
          "2021-02-02",
          "2021-02-03",
          "2021-02-04",
          "2021-02-05",
          "2021-02-08",
          "2021-02-09",
          "2021-02-10",
          "2021-02-11",
          "2021-02-12",
          "2021-02-16",
          "2021-02-17",
          "2021-02-18",
          "2021-02-19",
          "2021-02-22",
          "2021-02-23",
          "2021-02-24",
          "2021-02-25",
          "2021-02-26",
          "2021-03-01",
          "2021-03-02",
          "2021-03-03",
          "2021-03-04",
          "2021-03-05",
          "2021-03-08",
          "2021-03-09",
          "2021-03-10",
          "2021-03-11",
          "2021-03-12",
          "2021-03-15",
          "2021-03-16",
          "2021-03-17",
          "2021-03-18",
          "2021-03-19",
          "2021-03-22",
          "2021-03-23",
          "2021-03-24",
          "2021-03-25",
          "2021-03-26",
          "2021-03-29",
          "2021-03-30",
          "2021-03-31",
          "2021-04-01",
          "2021-04-05",
          "2021-04-06",
          "2021-04-07",
          "2021-04-08",
          "2021-04-09",
          "2021-04-12",
          "2021-04-13",
          "2021-04-14",
          "2021-04-15",
          "2021-04-16",
          "2021-04-19",
          "2021-04-20",
          "2021-04-21",
          "2021-04-22",
          "2021-04-23",
          "2021-04-26",
          "2021-04-27",
          "2021-04-28",
          "2021-04-29",
          "2021-04-30",
          "2021-05-03",
          "2021-05-04",
          "2021-05-05",
          "2021-05-06",
          "2021-05-07",
          "2021-05-10",
          "2021-05-11",
          "2021-05-12",
          "2021-05-13",
          "2021-05-14",
          "2021-05-17",
          "2021-05-18",
          "2021-05-19",
          "2021-05-20",
          "2021-05-21",
          "2021-05-24",
          "2021-05-25",
          "2021-05-26",
          "2021-05-27",
          "2021-05-28",
          "2021-06-01",
          "2021-06-02",
          "2021-06-03",
          "2021-06-04",
          "2021-06-07",
          "2021-06-08",
          "2021-06-09",
          "2021-06-10",
          "2021-06-11",
          "2021-06-14",
          "2021-06-15",
          "2021-06-16",
          "2021-06-17",
          "2021-06-18",
          "2021-06-21",
          "2021-06-22",
          "2021-06-23",
          "2021-06-24",
          "2021-06-25",
          "2021-06-28",
          "2021-06-29",
          "2021-06-30",
          "2021-07-01",
          "2021-07-02",
          "2021-07-06",
          "2021-07-07",
          "2021-07-08",
          "2021-07-09",
          "2021-07-12",
          "2021-07-13",
          "2021-07-14",
          "2021-07-15",
          "2021-07-16",
          "2021-07-19",
          "2021-07-20",
          "2021-07-21",
          "2021-07-22",
          "2021-07-23",
          "2021-07-26",
          "2021-07-27",
          "2021-07-28",
          "2021-07-29",
          "2021-07-30",
          "2021-08-02",
          "2021-08-03",
          "2021-08-04",
          "2021-08-05",
          "2021-08-06",
          "2021-08-09",
          "2021-08-10",
          "2021-08-11",
          "2021-08-12"
         ],
         "y": [
          11050600,
          10721100,
          14429500,
          12582500,
          13712900,
          14632400,
          10865500,
          11148900,
          11001300,
          9814200,
          11262300,
          19919900,
          19303500,
          17055600,
          12851800,
          14887200,
          12336600,
          11800800,
          9739400,
          7563700,
          12083800,
          12033100,
          14190900,
          14598200,
          20468200,
          87659700,
          31135100,
          34860300,
          14464700,
          20716400,
          19621400,
          12210400,
          16793600,
          19068600,
          17273400,
          15312000,
          25155400,
          19841300,
          18044300,
          27234100,
          33478200,
          39914700,
          22973100,
          14980300,
          14132200,
          20361100,
          41767600,
          27327600,
          27445400,
          32519500,
          29059100,
          28768100,
          28741700,
          31012700,
          29980000,
          28250700,
          21882600,
          32815900,
          25738800,
          20435300,
          22069300,
          20720800,
          24993400,
          20027000,
          17114800,
          25029700,
          26014900,
          25831100,
          31240800,
          22233200,
          15059900,
          13766200,
          15822200,
          21946600,
          21129500,
          16755400,
          28093700,
          28558000,
          19019600,
          15923400,
          22490600,
          23364000,
          29568800,
          68959100,
          28231100,
          17846300,
          19221900,
          15531000,
          16190500,
          19190300,
          13839800,
          13734500,
          19401700,
          12364700,
          15939200,
          15772400,
          17386200,
          26955500,
          22881700,
          13310700,
          20489300,
          24550900,
          37254900,
          39413300,
          14583600,
          15318400,
          28396300,
          20265100,
          23211500,
          20211900,
          17840700,
          17480700,
          23727900,
          14709400,
          19342200,
          20132400,
          12266100,
          10543600,
          19345500,
          12896600,
          20549300,
          16586800,
          17802600,
          56913600,
          27482800,
          20648000,
          20779000,
          14553700,
          22400000,
          27940900,
          109654700,
          34648800,
          15238700,
          22480600,
          18533200,
          16579900,
          24353300,
          18564800,
          16867000,
          19264300,
          18185200,
          90266700,
          23068300,
          22911300,
          13566800,
          10675600,
          9997400,
          18624600,
          15488000,
          10596700,
          10024000,
          10478900,
          11341100,
          29298400,
          20486000,
          11009500,
          13259400,
          10377300,
          10188500,
          8572500,
          17077200,
          7745400,
          9758600,
          20496600,
          12470500,
          12532500,
          13055000,
          8024400,
          7468300,
          10468000,
          26800000,
          18760800,
          17825000,
          16117300,
          10744000,
          10412300,
          9885500,
          9418400,
          14105000,
          18883300,
          12753000,
          19493000,
          13790000,
          22379000,
          64803800,
          27772800,
          15456600,
          11672200,
          13585100,
          12923400,
          18687000,
          13496800,
          11202400,
          15666600,
          19407700,
          11355500,
          8285400,
          24162400,
          9805900,
          14449000,
          19823800,
          13005300,
          9870700,
          9508400,
          30719700,
          18289000,
          14897700,
          22804000,
          19306200,
          20168100,
          55935600,
          86346700,
          47323500,
          33813100,
          34717000,
          19693600,
          17096900,
          21244700,
          14129200,
          11060800,
          9104100,
          8112900,
          14275400,
          11288800,
          9988700,
          13874000,
          17045500,
          10392100,
          9053900,
          15076600,
          5133300,
          9968800,
          9080300,
          10284000,
          7136000,
          6275300,
          7746200,
          7454900,
          9244800,
          24147200,
          18020200,
          17418200,
          10868700,
          29099400,
          11739900,
          20450300,
          10349400,
          9259200,
          6008600,
          3661100,
          6829600,
          6644800,
          5329500,
          4832300,
          12231600,
          8317200,
          9260000,
          18967600,
          16955400,
          61647600,
          26255100,
          19097200,
          29748700,
          25937300,
          19476300,
          21432900,
          15457900,
          13564400,
          13642300,
          29448500,
          22427000,
          19974000,
          17321500,
          13820700,
          13977000,
          16816300,
          10999300,
          16889700,
          18285200,
          38253800,
          73649200,
          30470000,
          38044200,
          27748000,
          21422600,
          16072100,
          25911000,
          21049600,
          32669500,
          18309900,
          63625700,
          35323500,
          24359200,
          20517000,
          19379400,
          22538600,
          22346200,
          21722000,
          22603900,
          22464200,
          14722200,
          15414000,
          15467200,
          13216100,
          15681600,
          15835600,
          20721600,
          24123800,
          17788600,
          15475500,
          19197200,
          15582600,
          22034500,
          12533300,
          14479800,
          15261000,
          15502100,
          15587900,
          23964600,
          16843400,
          15659500,
          9495200,
          9991700,
          12931200,
          11108300,
          9429900,
          18198600,
          14171200,
          11817300,
          16804100,
          12407700,
          11769800,
          10827000,
          13340300,
          31017700,
          88378800,
          79649000,
          30404500,
          19111100,
          19586900,
          21748600,
          17362300,
          16749900,
          17223200,
          14303900,
          9836800,
          21351700,
          23612300,
          21551300,
          12612700,
          12583400,
          25656400,
          13488900,
          15984400,
          9113900,
          8752700,
          13122700,
          9472900,
          21985700,
          12256100,
          10538600,
          12772900,
          16163600,
          8717500,
          6980400,
          9316600,
          9579900,
          9336500,
          10201300,
          13273000,
          12027100,
          16686200,
          18548000,
          23144800,
          13896900,
          11176100,
          9526400,
          9752900,
          9978800,
          8095600,
          12317400,
          10609300,
          12782500,
          14393700,
          9223600,
          9992700,
          21555900,
          14933800,
          14271100,
          15830100,
          11583900,
          10082900,
          24130400,
          44275800,
          29185100,
          16988300,
          23203600,
          11630000,
          13214600,
          12040800,
          9221400,
          7578400,
          8634600,
          11451000,
          7938300,
          8991400,
          8627100,
          7959300
         ],
         "yaxis": "y3"
        },
        {
         "close": [
          32.04999923706055,
          32.29999923706055,
          31.520000457763672,
          31.639999389648438,
          32.540000915527344,
          33.04999923706055,
          33.220001220703125,
          32.779998779296875,
          32.689998626708984,
          32.81999969482422,
          33.22999954223633,
          34.189998626708984,
          34.220001220703125,
          34.09000015258789,
          34.02000045776367,
          33.88999938964844,
          33.189998626708984,
          32.779998779296875,
          33.41999816894531,
          33.630001068115234,
          33.220001220703125,
          32.47999954223633,
          33.06999969482422,
          33.959999084472656,
          33.38999938964844,
          38.40999984741211,
          37.029998779296875,
          35.959999084472656,
          35.650001525878906,
          36.790000915527344,
          37.15999984741211,
          36.90999984741211,
          38.060001373291016,
          38.77000045776367,
          39.04999923706055,
          38.310001373291016,
          35.88999938964844,
          35.209999084472656,
          34.630001068115234,
          33.0099983215332,
          33.20000076293945,
          35.81999969482422,
          34.93000030517578,
          36,
          34.970001220703125,
          33.459999084472656,
          32.459999084472656,
          34.310001373291016,
          31.299999237060547,
          26.780000686645508,
          29.290000915527344,
          24.040000915527344,
          24.479999542236328,
          22,
          24.1299991607666,
          23.950000762939453,
          24.690000534057617,
          25.850000381469727,
          25.969999313354492,
          26.40999984741211,
          25.290000915527344,
          25.59000015258789,
          24.559999465942383,
          23.31999969482422,
          23.020000457763672,
          23.09000015258789,
          24.93000030517578,
          25.610000610351562,
          27.860000610351562,
          27.770000457763672,
          27.209999084472656,
          27.940000534057617,
          27.510000228881836,
          26.549999237060547,
          26.700000762939453,
          27.010000228881836,
          25.75,
          28.440000534057617,
          27.860000610351562,
          28.739999771118164,
          30,
          28.790000915527344,
          31.09000015258789,
          28.68000030517578,
          27.84000015258789,
          28.229999542236328,
          28.06999969482422,
          27.68000030517578,
          28.770000457763672,
          29.93000030517578,
          29.690000534057617,
          29.149999618530273,
          28.1299991607666,
          28.559999465942383,
          29,
          29.639999389648438,
          29.8799991607666,
          32.22999954223633,
          32.34000015258789,
          32.619998931884766,
          34.0099983215332,
          33.06999969482422,
          31.600000381469727,
          30.969999313354492,
          31.889999389648438,
          32.2599983215332,
          34.880001068115234,
          33.720001220703125,
          34.869998931884766,
          36.63999938964844,
          35.91999816894531,
          35.13999938964844,
          33.029998779296875,
          33.400001525878906,
          34.11000061035156,
          34.630001068115234,
          34.34000015258789,
          34.029998779296875,
          33.40999984741211,
          33.470001220703125,
          32.90999984741211,
          31.729999542236328,
          31.3700008392334,
          29.049999237060547,
          29.489999771118164,
          29.790000915527344,
          30.809999465942383,
          30.8700008392334,
          32.34000015258789,
          32.9900016784668,
          35.40999984741211,
          35.720001220703125,
          35.400001525878906,
          33.81999969482422,
          34.380001068115234,
          35.66999816894531,
          35.279998779296875,
          35.810001373291016,
          37.060001373291016,
          37.0099983215332,
          36.939998626708984,
          38.439998626708984,
          37.540000915527344,
          36.849998474121094,
          36.61000061035156,
          37.15999984741211,
          36.720001220703125,
          36.400001525878906,
          36.38999938964844,
          36.349998474121094,
          36.790000915527344,
          37.689998626708984,
          37.13999938964844,
          37.439998626708984,
          37.279998779296875,
          37.439998626708984,
          37.81999969482422,
          37.900001525878906,
          37.970001220703125,
          38.0099983215332,
          38.88999938964844,
          38.959999084472656,
          39.2599983215332,
          40.4900016784668,
          40.54999923706055,
          41.08000183105469,
          40.38999938964844,
          41.06999969482422,
          40.58000183105469,
          41.150001525878906,
          43.66999816894531,
          41.630001068115234,
          39.869998931884766,
          38.189998626708984,
          39.560001373291016,
          38.95000076293945,
          38.93000030517578,
          38.77000045776367,
          39.09000015258789,
          39.599998474121094,
          39.349998474121094,
          40.150001525878906,
          39.900001525878906,
          42.72999954223633,
          45.33000183105469,
          43.13999938964844,
          43.84000015258789,
          44.150001525878906,
          44.7400016784668,
          44.5,
          46.70000076293945,
          46.119998931884766,
          47.310001373291016,
          45.599998474121094,
          45.869998931884766,
          46.0099983215332,
          45.900001525878906,
          48.25,
          47,
          45.97999954223633,
          46.029998779296875,
          45.810001373291016,
          45.81999969482422,
          46.349998474121094,
          50.2400016784668,
          50.279998779296875,
          50.439998626708984,
          49,
          51.27000045776367,
          48.529998779296875,
          52.43000030517578,
          41.36000061035156,
          39.470001220703125,
          41.72999954223633,
          42.7599983215332,
          43.709999084472656,
          43.119998931884766,
          43.189998626708984,
          42.40999984741211,
          43.630001068115234,
          42.810001373291016,
          43.47999954223633,
          42.72999954223633,
          42.849998474121094,
          43.33000183105469,
          43.619998931884766,
          44.68000030517578,
          44.939998626708984,
          45.22999954223633,
          46.43000030517578,
          46.59000015258789,
          46.5099983215332,
          46.66999816894531,
          47.22999954223633,
          47.790000915527344,
          47.72999954223633,
          47.900001525878906,
          47.43000030517578,
          47.22999954223633,
          51.209999084472656,
          51.439998626708984,
          52.02000045776367,
          52.81999969482422,
          54.029998779296875,
          54.630001068115234,
          55.869998931884766,
          54.63999938964844,
          54.90999984741211,
          54.29999923706055,
          53.970001220703125,
          54.43000030517578,
          54.36000061035156,
          54.33000183105469,
          54.150001525878906,
          54.529998779296875,
          53.880001068115234,
          53.2599983215332,
          52.33000183105469,
          51.47999954223633,
          48.18000030517578,
          47.040000915527344,
          47.220001220703125,
          45.790000915527344,
          45.18000030517578,
          45.93000030517578,
          47.599998474121094,
          47.119998931884766,
          48.060001373291016,
          47.84000015258789,
          49.66999816894531,
          48.189998626708984,
          51.56999969482422,
          50.529998779296875,
          52.65999984741211,
          54,
          54.58000183105469,
          56.5099983215332,
          56.779998779296875,
          58.20000076293945,
          59.869998931884766,
          67.7699966430664,
          68.55999755859375,
          71.9000015258789,
          73.95999908447266,
          71.79000091552734,
          72.26000213623047,
          72.27999877929688,
          70.48999786376953,
          73.16999816894531,
          71.91999816894531,
          74.58999633789062,
          77.05999755859375,
          77.62999725341797,
          73.66999816894531,
          70.86000061035156,
          66.75,
          66.94999694824219,
          63.47999954223633,
          67.5199966430664,
          64.83000183105469,
          68.45999908447266,
          68.0999984741211,
          70.27999877929688,
          69.25,
          70.19999694824219,
          66.72000122070312,
          66.2300033569336,
          65.20999908447266,
          64.2699966430664,
          62.060001373291016,
          61.20000076293945,
          61.2599983215332,
          62.939998626708984,
          62.9900016784668,
          63.630001068115234,
          63.83000183105469,
          64.23999786376953,
          67,
          68.98999786376953,
          71.22000122070312,
          71.19000244140625,
          70.86000061035156,
          72.44999694824219,
          69.73999786376953,
          71.70999908447266,
          70.12000274658203,
          67.94000244140625,
          65.69999694824219,
          67.33000183105469,
          64.30999755859375,
          67.0199966430664,
          66.72000122070312,
          66.01000213623047,
          65.69999694824219,
          65.08999633789062,
          55.220001220703125,
          54.58000183105469,
          54.400001525878906,
          53.560001373291016,
          53.810001373291016,
          53.790000915527344,
          51.810001373291016,
          52.880001068115234,
          50.70000076293945,
          50.11000061035156,
          51.72999954223633,
          52.599998474121094,
          53.189998626708984,
          52.91999816894531,
          54.709999084472656,
          54.45000076293945,
          57.060001373291016,
          57,
          57.849998474121094,
          58.08000183105469,
          58,
          57.439998626708984,
          57.15999984741211,
          57.0099983215332,
          59,
          59.630001068115234,
          58.810001373291016,
          59.709999084472656,
          60.29999923706055,
          60.5,
          60.83000183105469,
          60.22999954223633,
          59.93000030517578,
          60.709999084472656,
          60.849998474121094,
          61.959999084472656,
          63.779998779296875,
          66.48999786376953,
          68.25,
          67.93000030517578,
          68.29000091552734,
          69,
          68.80999755859375,
          68.11000061035156,
          69.19999694824219,
          70.20999908447266,
          68.76000213623047,
          66.83000183105469,
          68.97000122070312,
          69.86000061035156,
          69.5999984741211,
          70.2699966430664,
          68.06999969482422,
          66.41000366210938,
          66.0199966430664,
          67.94000244140625,
          69.54000091552734,
          69.56999969482422,
          71.69000244140625,
          68.69000244140625,
          68.33000183105469,
          69.95999908447266,
          70.37000274658203,
          69.75,
          69.12999725341797,
          68.62999725341797,
          68.69999694824219,
          69.27999877929688,
          67.37000274658203,
          67.01000213623047,
          65.68000030517578,
          65.45999908447266,
          64.94999694824219
         ],
         "decreasing": {
          "line": {
           "color": "#808080"
          }
         },
         "high": [
          32.31999969482422,
          32.5,
          32.099998474121094,
          31.709999084472656,
          32.70000076293945,
          33.400001525878906,
          33.540000915527344,
          33.0099983215332,
          33.06999969482422,
          33.119998931884766,
          33.5099983215332,
          34.27000045776367,
          34.38999938964844,
          34.38999938964844,
          34.540000915527344,
          34.36000061035156,
          34.11000061035156,
          32.93000030517578,
          33.65999984741211,
          33.880001068115234,
          33.22999954223633,
          33.13999938964844,
          33.2400016784668,
          34.119998931884766,
          34.15999984741211,
          39.63999938964844,
          38.150001525878906,
          36.849998474121094,
          36.279998779296875,
          37.02000045776367,
          37.31999969482422,
          37.349998474121094,
          38.06999969482422,
          38.90999984741211,
          39.060001373291016,
          38.7599983215332,
          36.59000015258789,
          36.45000076293945,
          35.81999969482422,
          34.20000076293945,
          33.369998931884766,
          36.86000061035156,
          36.47999954223633,
          36,
          35.72999954223633,
          33.9900016784668,
          35.36000061035156,
          34.779998779296875,
          33.459999084472656,
          29.690000534057617,
          29.40999984741211,
          28.350000381469727,
          25.84000015258789,
          23.489999771118164,
          25.170000076293945,
          25.860000610351562,
          25.25,
          26.459999084472656,
          27.459999084472656,
          27.030000686645508,
          25.829999923706055,
          25.940000534057617,
          26.329999923706055,
          24.389999389648438,
          23.579999923706055,
          24.31999969482422,
          25.049999237060547,
          26.860000610351562,
          28.459999084472656,
          29.049999237060547,
          27.6200008392334,
          28.40999984741211,
          27.639999389648438,
          27.170000076293945,
          27.920000076293945,
          27.530000686645508,
          26.719999313354492,
          28.5,
          28.84000015258789,
          28.84000015258789,
          30.389999389648438,
          30.450000762939453,
          31.5,
          30.56999969482422,
          28.450000762939453,
          28.420000076293945,
          28.729999542236328,
          28.420000076293945,
          28.780000686645508,
          29.969999313354492,
          30.079999923706055,
          29.93000030517578,
          29.68000030517578,
          28.579999923706055,
          29.25,
          30.290000915527344,
          30.350000381469727,
          32.349998474121094,
          32.61000061035156,
          32.77000045776367,
          34.27000045776367,
          34,
          32.68000030517578,
          31.610000610351562,
          32.099998474121094,
          32.41999816894531,
          35.040000915527344,
          34.939998626708984,
          35.970001220703125,
          36.939998626708984,
          36.20000076293945,
          36.439998626708984,
          34.45000076293945,
          34.16999816894531,
          34.189998626708984,
          35.459999084472656,
          34.81999969482422,
          34.45000076293945,
          34.95000076293945,
          33.63999938964844,
          33.79999923706055,
          33.060001373291016,
          31.610000610351562,
          31.31999969482422,
          30.040000915527344,
          29.81999969482422,
          31.170000076293945,
          31.399999618530273,
          32.810001373291016,
          33.66999816894531,
          36.97999954223633,
          36.18000030517578,
          35.7599983215332,
          36.209999084472656,
          34.65999984741211,
          35.79999923706055,
          35.58000183105469,
          36,
          37.16999816894531,
          38.5,
          37.41999816894531,
          40.2599983215332,
          38.540000915527344,
          37.59000015258789,
          37.31999969482422,
          37.25,
          37.099998474121094,
          37.33000183105469,
          36.88999938964844,
          36.61000061035156,
          37.34000015258789,
          37.810001373291016,
          38.029998779296875,
          39.16999816894531,
          39,
          38,
          38.27000045776367,
          37.959999084472656,
          38.09000015258789,
          38.459999084472656,
          39.52000045776367,
          39,
          39.38999938964844,
          40.79999923706055,
          40.70000076293945,
          41.33000183105469,
          41.25,
          41.16999816894531,
          41.06999969482422,
          41.25,
          44.09000015258789,
          43,
          41.4900016784668,
          39.18000030517578,
          39.810001373291016,
          40.400001525878906,
          39.4900016784668,
          39.59000015258789,
          39.29999923706055,
          40.900001525878906,
          39.529998779296875,
          40.2400016784668,
          40.20000076293945,
          42.83000183105469,
          46.81999969482422,
          45.06999969482422,
          44.02000045776367,
          44.41999816894531,
          45.5099983215332,
          45.09000015258789,
          46.720001220703125,
          46.88999938964844,
          47.5,
          47.869998931884766,
          46.400001525878906,
          46.619998931884766,
          46.40999984741211,
          48.650001525878906,
          48.31999969482422,
          47.70000076293945,
          46.09000015258789,
          46.45000076293945,
          46.29999923706055,
          46.779998779296875,
          50.529998779296875,
          50.34000015258789,
          50.5,
          50.650001525878906,
          51.5099983215332,
          50,
          52.93000030517578,
          45.18000030517578,
          41.599998474121094,
          42.119998931884766,
          42.93000030517578,
          44.040000915527344,
          44.189998626708984,
          45.18000030517578,
          43.970001220703125,
          43.72999954223633,
          44.150001525878906,
          43.529998779296875,
          43.63999938964844,
          43.43000030517578,
          44.290000915527344,
          43.869998931884766,
          45.31999969482422,
          45.56999969482422,
          45.439998626708984,
          46.849998474121094,
          47.0099983215332,
          46.81999969482422,
          47.27000045776367,
          47.939998626708984,
          48.150001525878906,
          48.34000015258789,
          48.34000015258789,
          48.099998474121094,
          48.7400016784668,
          51.7400016784668,
          52.45000076293945,
          53.47999954223633,
          52.959999084472656,
          56.11000061035156,
          55.16999816894531,
          56.08000183105469,
          55.68000030517578,
          55.68000030517578,
          55.45000076293945,
          55.189998626708984,
          55.18000030517578,
          55.400001525878906,
          54.90999984741211,
          54.310001373291016,
          55.4900016784668,
          54.5,
          54.52000045776367,
          53.380001068115234,
          52.70000076293945,
          49.4900016784668,
          49.130001068115234,
          48.38999938964844,
          47.65999984741211,
          46.20000076293945,
          46.16999816894531,
          47.91999816894531,
          48.02000045776367,
          48.18000030517578,
          48.95000076293945,
          52.189998626708984,
          50.849998474121094,
          52.25,
          52.9900016784668,
          52.75,
          54.869998931884766,
          55.189998626708984,
          56.52000045776367,
          57.439998626708984,
          59.599998474121094,
          60.72999954223633,
          69.25,
          69.0199966430664,
          73.18000030517578,
          74.83999633789062,
          73.27999877929688,
          72.9000015258789,
          74.95999908447266,
          73.75,
          74.33000183105469,
          73.94999694824219,
          80.75,
          79.08000183105469,
          78.7300033569336,
          77.0999984741211,
          74.5,
          71.77999877929688,
          67.79000091552734,
          68.63999938964844,
          68.20999908447266,
          69.45999908447266,
          68.73999786376953,
          68.81999969482422,
          70.48999786376953,
          71.86000061035156,
          70.81999969482422,
          69.9000015258789,
          67.11000061035156,
          66.88999938964844,
          65.62999725341797,
          64.94999694824219,
          62.0099983215332,
          61.869998931884766,
          64.95999908447266,
          64.0999984741211,
          64.9800033569336,
          66.36000061035156,
          64.33999633789062,
          67.6500015258789,
          69.97000122070312,
          71.44999694824219,
          71.44999694824219,
          71.83999633789062,
          72.77999877929688,
          73.22000122070312,
          71.87999725341797,
          72.19999694824219,
          69.91999816894531,
          68.0999984741211,
          67.36000061035156,
          67.5,
          67.12999725341797,
          67.25,
          68.36000061035156,
          66.55999755859375,
          67.05000305175781,
          57.630001068115234,
          55.54999923706055,
          55.720001220703125,
          54.970001220703125,
          53.84000015258789,
          54.91999816894531,
          53.08000183105469,
          53.189998626708984,
          52.380001068115234,
          51.77000045776367,
          51.91999816894531,
          52.72999954223633,
          55.150001525878906,
          53.15999984741211,
          54.90999984741211,
          55,
          57.33000183105469,
          57.63999938964844,
          58.61000061035156,
          58.29999923706055,
          58.560001373291016,
          58.20000076293945,
          57.63999938964844,
          58.66999816894531,
          59.29999923706055,
          59.83000183105469,
          60.09000015258789,
          61.04999923706055,
          60.380001068115234,
          60.630001068115234,
          61.54999923706055,
          61.31999969482422,
          61.150001525878906,
          61.619998931884766,
          60.970001220703125,
          62.09000015258789,
          64.05000305175781,
          66.7699966430664,
          68.73999786376953,
          68.91999816894531,
          68.62999725341797,
          69.37999725341797,
          69.12000274658203,
          70,
          69.29000091552734,
          70.93000030517578,
          70.8499984741211,
          67.61000061035156,
          69.01000213623047,
          70.44000244140625,
          70.87000274658203,
          72.06999969482422,
          70.16000366210938,
          69.27999877929688,
          66.7300033569336,
          68.54000091552734,
          69.7699966430664,
          70.12999725341797,
          73.33999633789062,
          71.25,
          69.4800033569336,
          71.91999816894531,
          71.58999633789062,
          71.12999725341797,
          70.44000244140625,
          70.95999908447266,
          69.08000183105469,
          69.44999694824219,
          69.80999755859375,
          67.5199966430664,
          67.37000274658203,
          66.33000183105469,
          65.27999877929688
         ],
         "increasing": {
          "line": {
           "color": "#17BECF"
          }
         },
         "low": [
          31.770000457763672,
          31.959999084472656,
          31.260000228881836,
          31.15999984741211,
          31.719999313354492,
          32.349998474121094,
          33,
          32.459999084472656,
          32.4900016784668,
          32.63999938964844,
          32.95000076293945,
          33.029998779296875,
          33.58000183105469,
          33.869998931884766,
          33.959999084472656,
          33.720001220703125,
          32.970001220703125,
          32.150001525878906,
          32.849998474121094,
          33.290000915527344,
          32.38999938964844,
          32.08000183105469,
          32.45000076293945,
          33.400001525878906,
          33.189998626708984,
          36.41999816894531,
          36.84000015258789,
          35.650001525878906,
          35.529998779296875,
          36.16999816894531,
          36.209999084472656,
          36.58000183105469,
          36.68000030517578,
          37.939998626708984,
          37.959999084472656,
          38.040000915527344,
          35.29999923706055,
          34.88999938964844,
          34.439998626708984,
          32.470001220703125,
          31.510000228881836,
          35.13999938964844,
          34.40999984741211,
          34.77000045776367,
          34.52000045776367,
          32.5099983215332,
          30.6200008392334,
          33.119998931884766,
          30.010000228881836,
          26.700000762939453,
          26.399999618530273,
          23.920000076293945,
          23.18000030517578,
          20,
          20.65999984741211,
          23.700000762939453,
          23.5,
          24.1299991607666,
          24.520000457763672,
          25.6299991607666,
          24.760000228881836,
          24.600000381469727,
          24.399999618530273,
          23.049999237060547,
          22.360000610351562,
          22.75,
          23.790000915527344,
          25.309999465942383,
          25.920000076293945,
          27.280000686645508,
          26.239999771118164,
          27.600000381469727,
          26.75,
          25.959999084472656,
          26.469999313354492,
          26.110000610351562,
          25.059999465942383,
          26.450000762939453,
          27.729999542236328,
          27.459999084472656,
          29.1299991607666,
          28.56999969482422,
          29.6200008392334,
          28.09000015258789,
          27.190000534057617,
          27.389999389648438,
          27.899999618530273,
          27.549999237060547,
          27.940000534057617,
          28.739999771118164,
          29.329999923706055,
          29.09000015258789,
          27.579999923706055,
          27.1200008392334,
          28.110000610351562,
          29.559999465942383,
          29.329999923706055,
          30.450000762939453,
          31.389999389648438,
          31.780000686645508,
          33.36000061035156,
          32.2400016784668,
          31.31999969482422,
          30.290000915527344,
          30.84000015258789,
          31.610000610351562,
          32.439998626708984,
          33.34000015258789,
          34.470001220703125,
          35.75,
          35.15999984741211,
          34.900001525878906,
          32.720001220703125,
          32.470001220703125,
          32.84000015258789,
          34.209999084472656,
          34.099998474121094,
          33.86000061035156,
          33.400001525878906,
          32.95000076293945,
          32.72999954223633,
          31.34000015258789,
          30.81999969482422,
          28.75,
          28.229999542236328,
          29.020000457763672,
          30.059999465942383,
          30.399999618530273,
          31.15999984741211,
          31.770000457763672,
          32.72999954223633,
          34.810001373291016,
          34.86000061035156,
          33.7599983215332,
          33.439998626708984,
          34.619998931884766,
          34,
          34.72999954223633,
          35.79999923706055,
          37,
          36.25,
          37.5,
          37.13999938964844,
          36.09000015258789,
          36.40999984741211,
          36.72999954223633,
          36.380001068115234,
          35.970001220703125,
          35.900001525878906,
          35.650001525878906,
          36.40999984741211,
          36.4900016784668,
          36.72999954223633,
          37.310001373291016,
          36.709999084472656,
          36.81999969482422,
          37.369998931884766,
          37.279998779296875,
          37.27000045776367,
          37.7400016784668,
          38.060001373291016,
          38.29999923706055,
          38.70000076293945,
          39.63999938964844,
          39.31999969482422,
          40,
          40.06999969482422,
          40.41999816894531,
          40.56999969482422,
          40.13999938964844,
          41.36000061035156,
          40.959999084472656,
          38.43000030517578,
          38.099998474121094,
          38.33000183105469,
          38.81999969482422,
          38.5099983215332,
          38.54999923706055,
          38.22999954223633,
          39.189998626708984,
          38.599998474121094,
          38.93000030517578,
          39.220001220703125,
          40.27000045776367,
          43.70000076293945,
          42.65999984741211,
          42.59000015258789,
          43.61000061035156,
          44.290000915527344,
          43.95000076293945,
          44.97999954223633,
          45.43000030517578,
          46.119998931884766,
          45.029998779296875,
          45.7400016784668,
          45.779998779296875,
          45.65999984741211,
          47.40999984741211,
          46.9900016784668,
          45.619998931884766,
          44.29999923706055,
          45.04999923706055,
          45.2400016784668,
          45.459999084472656,
          48.849998474121094,
          48.11000061035156,
          48.939998626708984,
          48.400001525878906,
          49.13999938964844,
          48.25,
          50.56999969482422,
          40.83000183105469,
          38.93000030517578,
          40.029998779296875,
          40.810001373291016,
          42.47999954223633,
          42.81999969482422,
          43.11000061035156,
          41.61000061035156,
          42.86000061035156,
          42.68000030517578,
          42.41999816894531,
          42.43000030517578,
          42.36000061035156,
          42.79999923706055,
          42.79999923706055,
          43.45000076293945,
          44.18000030517578,
          44.459999084472656,
          44.849998474121094,
          46.20000076293945,
          44.939998626708984,
          45.810001373291016,
          45.93000030517578,
          47.029998779296875,
          47.66999816894531,
          47.06999969482422,
          46.900001525878906,
          46.91999816894531,
          46.540000915527344,
          49.970001220703125,
          51.79999923706055,
          51.61000061035156,
          53.63999938964844,
          53.939998626708984,
          54.27000045776367,
          53.58000183105469,
          54.369998931884766,
          54.22999954223633,
          53.86000061035156,
          53.93000030517578,
          53.54999923706055,
          54.13999938964844,
          53.7400016784668,
          53.58000183105469,
          53.150001525878906,
          52.56999969482422,
          51.459999084472656,
          50.189998626708984,
          45.150001525878906,
          46.560001373291016,
          47.02000045776367,
          45.43000030517578,
          45.08000183105469,
          44.400001525878906,
          46.18000030517578,
          46.5,
          46.79999923706055,
          47,
          48.02000045776367,
          47.97999954223633,
          49.27000045776367,
          49.880001068115234,
          51.06999969482422,
          52.709999084472656,
          53.70000076293945,
          54.439998626708984,
          55.029998779296875,
          57.380001068115234,
          58.54999923706055,
          63.20000076293945,
          66.58000183105469,
          68.4000015258789,
          71.80999755859375,
          70.12999725341797,
          70.36000061035156,
          71.87999725341797,
          70.41999816894531,
          66.19000244140625,
          71.70999908447266,
          73.88999938964844,
          75,
          76.05000305175781,
          73.55999755859375,
          70.66000366210938,
          66.0199966430664,
          61.52000045776367,
          63.41999816894531,
          64.5999984741211,
          64.58999633789062,
          65.83000183105469,
          66.63999938964844,
          67.18000030517578,
          68.56999969482422,
          66.95999908447266,
          66.68000030517578,
          65.7699966430664,
          64.3499984741211,
          64.11000061035156,
          62.04999923706055,
          59.56999969482422,
          59.279998779296875,
          61.709999084472656,
          61.900001525878906,
          63.27000045776367,
          63.63999938964844,
          61.810001373291016,
          64.30000305175781,
          66.08000183105469,
          69.27999877929688,
          69.91000366210938,
          69.6500015258789,
          70.7300033569336,
          69.5,
          70.16999816894531,
          69.68000030517578,
          66.7699966430664,
          65.22000122070312,
          64.69999694824219,
          64.08000183105469,
          65.43000030517578,
          65.8499984741211,
          66,
          63.7400016784668,
          63.9900016784668,
          55.04999923706055,
          52.66999816894531,
          53.15999984741211,
          53.31999969482422,
          52.34000015258789,
          53.369998931884766,
          51.619998931884766,
          49.20000076293945,
          50.060001373291016,
          49.119998931884766,
          50.189998626708984,
          51.279998779296875,
          52.41999816894531,
          51.66999816894531,
          53.220001220703125,
          53.939998626708984,
          54.65999984741211,
          56.540000915527344,
          57.310001373291016,
          57.029998779296875,
          57.83000183105469,
          56.27000045776367,
          56.31999969482422,
          55.83000183105469,
          57.31999969482422,
          57.720001220703125,
          57.81999969482422,
          59.40999984741211,
          58.7400016784668,
          59.869998931884766,
          60.45000076293945,
          60.189998626708984,
          59.150001525878906,
          59.529998779296875,
          59.529998779296875,
          59.7400016784668,
          61.90999984741211,
          63.790000915527344,
          66.75,
          67.27999877929688,
          67.08000183105469,
          67.93000030517578,
          68.25,
          67.37000274658203,
          68.43000030517578,
          69.2300033569336,
          68.70999908447266,
          66.23999786376953,
          66.9800033569336,
          68.80000305175781,
          69.26000213623047,
          70.08999633789062,
          67.41000366210938,
          66.13999938964844,
          64.6500015258789,
          65.81999969482422,
          67.55000305175781,
          68.51000213623047,
          69.87999725341797,
          67.47000122070312,
          66.86000061035156,
          67.76000213623047,
          69.5,
          69.5,
          68.66000366210938,
          68.08000183105469,
          67.91000366210938,
          68.08000183105469,
          66.87999725341797,
          66.44999694824219,
          65.56999969482422,
          64.62999725341797,
          64.05999755859375
         ],
         "name": "twitter",
         "open": [
          31.860000610351562,
          32.310001373291016,
          31.709999084472656,
          31.229999542236328,
          31.799999237060547,
          32.349998474121094,
          33.529998779296875,
          32.86000061035156,
          32.970001220703125,
          32.689998626708984,
          32.9900016784668,
          33.5,
          33.81999969482422,
          34.08000183105469,
          34.290000915527344,
          33.9900016784668,
          34.11000061035156,
          32.310001373291016,
          33.060001373291016,
          33.59000015258789,
          32.86000061035156,
          33.11000061035156,
          32.560001373291016,
          33.75,
          34,
          36.529998779296875,
          37.630001068115234,
          36.630001068115234,
          36.119998931884766,
          36.189998626708984,
          36.43000030517578,
          37,
          36.779998779296875,
          38.09000015258789,
          38.7599983215332,
          38.66999816894531,
          36.5,
          36.18000030517578,
          35.279998779296875,
          33.72999954223633,
          31.860000610351562,
          36,
          36.02000045776367,
          35.7599983215332,
          35.029998779296875,
          33.810001373291016,
          31.809999465942383,
          33.900001525878906,
          33.29999923706055,
          29.079999923706055,
          28.829999923706055,
          26.1200008392334,
          24.3799991607666,
          22.950000762939453,
          22.110000610351562,
          24.969999313354492,
          23.799999237060547,
          25.790000915527344,
          25.850000381469727,
          26.149999618530273,
          25.559999465942383,
          25.25,
          25.790000915527344,
          23.700000762939453,
          23,
          24.100000381469727,
          24.100000381469727,
          25.969999313354492,
          26.790000915527344,
          28.479999542236328,
          27.549999237060547,
          28,
          27.100000381469727,
          26.860000610351562,
          27.15999984741211,
          26.309999465942383,
          26.389999389648438,
          27,
          28.43000030517578,
          27.989999771118164,
          29.1299991607666,
          30.399999618530273,
          30.059999465942383,
          28.790000915527344,
          28,
          27.600000381469727,
          28.670000076293945,
          28.350000381469727,
          28.079999923706055,
          29.09000015258789,
          29.649999618530273,
          29.850000381469727,
          29.239999771118164,
          27.829999923706055,
          28.299999237060547,
          29.700000762939453,
          29.700000762939453,
          30.5,
          32.099998474121094,
          32.380001068115234,
          33.599998474121094,
          33.630001068115234,
          31.5,
          31.559999465942383,
          31.059999465942383,
          32.189998626708984,
          32.61000061035156,
          34.5,
          34.470001220703125,
          35.959999084472656,
          35.9900016784668,
          36.119998931884766,
          33.130001068115234,
          33.939998626708984,
          32.90999984741211,
          35.13999938964844,
          34.4900016784668,
          34.29999923706055,
          34.63999938964844,
          33.56999969482422,
          33.75,
          32.529998779296875,
          31.540000915527344,
          31.1200008392334,
          28.510000228881836,
          29.6299991607666,
          30.149999618530273,
          31.299999237060547,
          31.549999237060547,
          31.959999084472656,
          33.20000076293945,
          35.880001068115234,
          35.459999084472656,
          35.720001220703125,
          33.529998779296875,
          35.119998931884766,
          34.130001068115234,
          35.310001373291016,
          35.79999923706055,
          37.790000915527344,
          36.970001220703125,
          37.650001525878906,
          38.279998779296875,
          37.58000183105469,
          36.45000076293945,
          36.970001220703125,
          36.72999954223633,
          37.33000183105469,
          36.40999984741211,
          35.91999816894531,
          36.560001373291016,
          36.849998474121094,
          37.41999816894531,
          38.36000061035156,
          37.59000015258789,
          37.5,
          37.43000030517578,
          37.7400016784668,
          37.95000076293945,
          38.279998779296875,
          38.09000015258789,
          38.619998931884766,
          38.9900016784668,
          39.68000030517578,
          40.439998626708984,
          40.54999923706055,
          40.970001220703125,
          40.5,
          40.9900016784668,
          40.61000061035156,
          41.52000045776367,
          42.7400016784668,
          41.20000076293945,
          38.52000045776367,
          38.849998474121094,
          39.790000915527344,
          39.2400016784668,
          39.40999984741211,
          39.189998626708984,
          39.38999938964844,
          38.849998474121094,
          39.36000061035156,
          39.43000030517578,
          40.369998931884766,
          43.880001068115234,
          44.689998626708984,
          43.209999084472656,
          44.400001525878906,
          44.349998474121094,
          44.619998931884766,
          45.06999969482422,
          45.540000915527344,
          46.459999084472656,
          47.27000045776367,
          46.06999969482422,
          46.439998626708984,
          46.400001525878906,
          47.61000061035156,
          48.279998779296875,
          47.4900016784668,
          45.060001373291016,
          46.36000061035156,
          46.04999923706055,
          45.54999923706055,
          48.970001220703125,
          50,
          50.20000076293945,
          50,
          49.5,
          49.599998474121094,
          51.95000076293945,
          44.529998779296875,
          41.150001525878906,
          40.029998779296875,
          42.22999954223633,
          43.5099983215332,
          43.5099983215332,
          43.959999084472656,
          43.36000061035156,
          42.970001220703125,
          43.29999923706055,
          43.25,
          43.5,
          42.36000061035156,
          42.939998626708984,
          43.119998931884766,
          43.79999923706055,
          44.900001525878906,
          45.130001068115234,
          44.970001220703125,
          46.560001373291016,
          46.52000045776367,
          46.7599983215332,
          46.36000061035156,
          47.16999816894531,
          47.75,
          47.54999923706055,
          47.790000915527344,
          47.47999954223633,
          46.70000076293945,
          50.619998931884766,
          51.970001220703125,
          52.02000045776367,
          54.77000045776367,
          54.56999969482422,
          54.93000030517578,
          54.5,
          55,
          55.34000015258789,
          54.52000045776367,
          55,
          54.5099983215332,
          54.689998626708984,
          54.2400016784668,
          54.4900016784668,
          53.40999984741211,
          53.27000045776367,
          52.220001220703125,
          52.5,
          47.09000015258789,
          48.54999923706055,
          48.09000015258789,
          47.65999984741211,
          46.099998474121094,
          45.59000015258789,
          46.22999954223633,
          47.72999954223633,
          46.900001525878906,
          48.439998626708984,
          48.130001068115234,
          50.63999938964844,
          49.4900016784668,
          51.02000045776367,
          51.20000076293945,
          52.869998931884766,
          54.560001373291016,
          54.790000915527344,
          56.02000045776367,
          57.79999923706055,
          58.63999938964844,
          65.80000305175781,
          67.98999786376953,
          68.55999755859375,
          72.19000244140625,
          73.05000305175781,
          70.73999786376953,
          72.97000122070312,
          71.7300033569336,
          68.44999694824219,
          73.0999984741211,
          78.1500015258789,
          76.87000274658203,
          78.36000061035156,
          76.61000061035156,
          74.01000213623047,
          70.61000061035156,
          67.66999816894531,
          67.4000015258789,
          65.72000122070312,
          69.45999908447266,
          66.37000274658203,
          67.72000122070312,
          68.23999786376953,
          71.06999969482422,
          68.31999969482422,
          69.20999908447266,
          67.11000061035156,
          66.88999938964844,
          65.1500015258789,
          64.94999694824219,
          60.20000076293945,
          61.52000045776367,
          62,
          62.29999923706055,
          63.97999954223633,
          64.68000030517578,
          64.13999938964844,
          64.66999816894531,
          66.63999938964844,
          69.91000366210938,
          70.3499984741211,
          70.87000274658203,
          71.72000122070312,
          72.51000213623047,
          70.55000305175781,
          71.97000122070312,
          69.62000274658203,
          68.01000213623047,
          65.7300033569336,
          67.41999816894531,
          65.72000122070312,
          66.48999786376953,
          67.13999938964844,
          65.55000305175781,
          67.01000213623047,
          56,
          55.52000045776367,
          55.06999969482422,
          54.95000076293945,
          53.47999954223633,
          54.77000045776367,
          53.0099983215332,
          49.52000045776367,
          51.869998931884766,
          51.68000030517578,
          50.61000061035156,
          52.22999954223633,
          52.599998474121094,
          52.189998626708984,
          53.22999954223633,
          55,
          54.900001525878906,
          57.349998474121094,
          57.369998931884766,
          57.63999938964844,
          58.20000076293945,
          58.20000076293945,
          57.279998779296875,
          56.959999084472656,
          57.40999984741211,
          58.619998931884766,
          59.790000915527344,
          59.59000015258789,
          59.79999923706055,
          59.95000076293945,
          60.849998474121094,
          61.09000015258789,
          60.119998931884766,
          59.61000061035156,
          60.20000076293945,
          60.849998474121094,
          61.91999816894531,
          63.90999984741211,
          66.75,
          68.29000091552734,
          68.16000366210938,
          68.27999877929688,
          68.76000213623047,
          68.56999969482422,
          68.70999908447266,
          69.3499984741211,
          70.62999725341797,
          67,
          67.06999969482422,
          69.45999908447266,
          69.54000091552734,
          70.41999816894531,
          70.0999984741211,
          68.55999755859375,
          65.23999786376953,
          66.25,
          67.58999633789062,
          68.63999938964844,
          72.19999694824219,
          71.25,
          68.31999969482422,
          68.38999938964844,
          69.5,
          69.83000183105469,
          70.2300033569336,
          69.87000274658203,
          68.68000030517578,
          68.8499984741211,
          69.30000305175781,
          67.5,
          67.19999694824219,
          65.79000091552734,
          64.80999755859375
         ],
         "showlegend": true,
         "type": "candlestick",
         "x": [
          "2019-12-31",
          "2020-01-02",
          "2020-01-03",
          "2020-01-06",
          "2020-01-07",
          "2020-01-08",
          "2020-01-09",
          "2020-01-10",
          "2020-01-13",
          "2020-01-14",
          "2020-01-15",
          "2020-01-16",
          "2020-01-17",
          "2020-01-21",
          "2020-01-22",
          "2020-01-23",
          "2020-01-24",
          "2020-01-27",
          "2020-01-28",
          "2020-01-29",
          "2020-01-30",
          "2020-01-31",
          "2020-02-03",
          "2020-02-04",
          "2020-02-05",
          "2020-02-06",
          "2020-02-07",
          "2020-02-10",
          "2020-02-11",
          "2020-02-12",
          "2020-02-13",
          "2020-02-14",
          "2020-02-18",
          "2020-02-19",
          "2020-02-20",
          "2020-02-21",
          "2020-02-24",
          "2020-02-25",
          "2020-02-26",
          "2020-02-27",
          "2020-02-28",
          "2020-03-02",
          "2020-03-03",
          "2020-03-04",
          "2020-03-05",
          "2020-03-06",
          "2020-03-09",
          "2020-03-10",
          "2020-03-11",
          "2020-03-12",
          "2020-03-13",
          "2020-03-16",
          "2020-03-17",
          "2020-03-18",
          "2020-03-19",
          "2020-03-20",
          "2020-03-23",
          "2020-03-24",
          "2020-03-25",
          "2020-03-26",
          "2020-03-27",
          "2020-03-30",
          "2020-03-31",
          "2020-04-01",
          "2020-04-02",
          "2020-04-03",
          "2020-04-06",
          "2020-04-07",
          "2020-04-08",
          "2020-04-09",
          "2020-04-13",
          "2020-04-14",
          "2020-04-15",
          "2020-04-16",
          "2020-04-17",
          "2020-04-20",
          "2020-04-21",
          "2020-04-22",
          "2020-04-23",
          "2020-04-24",
          "2020-04-27",
          "2020-04-28",
          "2020-04-29",
          "2020-04-30",
          "2020-05-01",
          "2020-05-04",
          "2020-05-05",
          "2020-05-06",
          "2020-05-07",
          "2020-05-08",
          "2020-05-11",
          "2020-05-12",
          "2020-05-13",
          "2020-05-14",
          "2020-05-15",
          "2020-05-18",
          "2020-05-19",
          "2020-05-20",
          "2020-05-21",
          "2020-05-22",
          "2020-05-26",
          "2020-05-27",
          "2020-05-28",
          "2020-05-29",
          "2020-06-01",
          "2020-06-02",
          "2020-06-03",
          "2020-06-04",
          "2020-06-05",
          "2020-06-08",
          "2020-06-09",
          "2020-06-10",
          "2020-06-11",
          "2020-06-12",
          "2020-06-15",
          "2020-06-16",
          "2020-06-17",
          "2020-06-18",
          "2020-06-19",
          "2020-06-22",
          "2020-06-23",
          "2020-06-24",
          "2020-06-25",
          "2020-06-26",
          "2020-06-29",
          "2020-06-30",
          "2020-07-01",
          "2020-07-02",
          "2020-07-06",
          "2020-07-07",
          "2020-07-08",
          "2020-07-09",
          "2020-07-10",
          "2020-07-13",
          "2020-07-14",
          "2020-07-15",
          "2020-07-16",
          "2020-07-17",
          "2020-07-20",
          "2020-07-21",
          "2020-07-22",
          "2020-07-23",
          "2020-07-24",
          "2020-07-27",
          "2020-07-28",
          "2020-07-29",
          "2020-07-30",
          "2020-07-31",
          "2020-08-03",
          "2020-08-04",
          "2020-08-05",
          "2020-08-06",
          "2020-08-07",
          "2020-08-10",
          "2020-08-11",
          "2020-08-12",
          "2020-08-13",
          "2020-08-14",
          "2020-08-17",
          "2020-08-18",
          "2020-08-19",
          "2020-08-20",
          "2020-08-21",
          "2020-08-24",
          "2020-08-25",
          "2020-08-26",
          "2020-08-27",
          "2020-08-28",
          "2020-08-31",
          "2020-09-01",
          "2020-09-02",
          "2020-09-03",
          "2020-09-04",
          "2020-09-08",
          "2020-09-09",
          "2020-09-10",
          "2020-09-11",
          "2020-09-14",
          "2020-09-15",
          "2020-09-16",
          "2020-09-17",
          "2020-09-18",
          "2020-09-21",
          "2020-09-22",
          "2020-09-23",
          "2020-09-24",
          "2020-09-25",
          "2020-09-28",
          "2020-09-29",
          "2020-09-30",
          "2020-10-01",
          "2020-10-02",
          "2020-10-05",
          "2020-10-06",
          "2020-10-07",
          "2020-10-08",
          "2020-10-09",
          "2020-10-12",
          "2020-10-13",
          "2020-10-14",
          "2020-10-15",
          "2020-10-16",
          "2020-10-19",
          "2020-10-20",
          "2020-10-21",
          "2020-10-22",
          "2020-10-23",
          "2020-10-26",
          "2020-10-27",
          "2020-10-28",
          "2020-10-29",
          "2020-10-30",
          "2020-11-02",
          "2020-11-03",
          "2020-11-04",
          "2020-11-05",
          "2020-11-06",
          "2020-11-09",
          "2020-11-10",
          "2020-11-11",
          "2020-11-12",
          "2020-11-13",
          "2020-11-16",
          "2020-11-17",
          "2020-11-18",
          "2020-11-19",
          "2020-11-20",
          "2020-11-23",
          "2020-11-24",
          "2020-11-25",
          "2020-11-27",
          "2020-11-30",
          "2020-12-01",
          "2020-12-02",
          "2020-12-03",
          "2020-12-04",
          "2020-12-07",
          "2020-12-08",
          "2020-12-09",
          "2020-12-10",
          "2020-12-11",
          "2020-12-14",
          "2020-12-15",
          "2020-12-16",
          "2020-12-17",
          "2020-12-18",
          "2020-12-21",
          "2020-12-22",
          "2020-12-23",
          "2020-12-24",
          "2020-12-28",
          "2020-12-29",
          "2020-12-30",
          "2020-12-31",
          "2021-01-04",
          "2021-01-05",
          "2021-01-06",
          "2021-01-07",
          "2021-01-08",
          "2021-01-11",
          "2021-01-12",
          "2021-01-13",
          "2021-01-14",
          "2021-01-15",
          "2021-01-19",
          "2021-01-20",
          "2021-01-21",
          "2021-01-22",
          "2021-01-25",
          "2021-01-26",
          "2021-01-27",
          "2021-01-28",
          "2021-01-29",
          "2021-02-01",
          "2021-02-02",
          "2021-02-03",
          "2021-02-04",
          "2021-02-05",
          "2021-02-08",
          "2021-02-09",
          "2021-02-10",
          "2021-02-11",
          "2021-02-12",
          "2021-02-16",
          "2021-02-17",
          "2021-02-18",
          "2021-02-19",
          "2021-02-22",
          "2021-02-23",
          "2021-02-24",
          "2021-02-25",
          "2021-02-26",
          "2021-03-01",
          "2021-03-02",
          "2021-03-03",
          "2021-03-04",
          "2021-03-05",
          "2021-03-08",
          "2021-03-09",
          "2021-03-10",
          "2021-03-11",
          "2021-03-12",
          "2021-03-15",
          "2021-03-16",
          "2021-03-17",
          "2021-03-18",
          "2021-03-19",
          "2021-03-22",
          "2021-03-23",
          "2021-03-24",
          "2021-03-25",
          "2021-03-26",
          "2021-03-29",
          "2021-03-30",
          "2021-03-31",
          "2021-04-01",
          "2021-04-05",
          "2021-04-06",
          "2021-04-07",
          "2021-04-08",
          "2021-04-09",
          "2021-04-12",
          "2021-04-13",
          "2021-04-14",
          "2021-04-15",
          "2021-04-16",
          "2021-04-19",
          "2021-04-20",
          "2021-04-21",
          "2021-04-22",
          "2021-04-23",
          "2021-04-26",
          "2021-04-27",
          "2021-04-28",
          "2021-04-29",
          "2021-04-30",
          "2021-05-03",
          "2021-05-04",
          "2021-05-05",
          "2021-05-06",
          "2021-05-07",
          "2021-05-10",
          "2021-05-11",
          "2021-05-12",
          "2021-05-13",
          "2021-05-14",
          "2021-05-17",
          "2021-05-18",
          "2021-05-19",
          "2021-05-20",
          "2021-05-21",
          "2021-05-24",
          "2021-05-25",
          "2021-05-26",
          "2021-05-27",
          "2021-05-28",
          "2021-06-01",
          "2021-06-02",
          "2021-06-03",
          "2021-06-04",
          "2021-06-07",
          "2021-06-08",
          "2021-06-09",
          "2021-06-10",
          "2021-06-11",
          "2021-06-14",
          "2021-06-15",
          "2021-06-16",
          "2021-06-17",
          "2021-06-18",
          "2021-06-21",
          "2021-06-22",
          "2021-06-23",
          "2021-06-24",
          "2021-06-25",
          "2021-06-28",
          "2021-06-29",
          "2021-06-30",
          "2021-07-01",
          "2021-07-02",
          "2021-07-06",
          "2021-07-07",
          "2021-07-08",
          "2021-07-09",
          "2021-07-12",
          "2021-07-13",
          "2021-07-14",
          "2021-07-15",
          "2021-07-16",
          "2021-07-19",
          "2021-07-20",
          "2021-07-21",
          "2021-07-22",
          "2021-07-23",
          "2021-07-26",
          "2021-07-27",
          "2021-07-28",
          "2021-07-29",
          "2021-07-30",
          "2021-08-02",
          "2021-08-03",
          "2021-08-04",
          "2021-08-05",
          "2021-08-06",
          "2021-08-09",
          "2021-08-10",
          "2021-08-11",
          "2021-08-12"
         ],
         "yaxis": "y2"
        }
       ],
       "layout": {
        "autosize": true,
        "legend": {
         "bgcolor": "#F5F6F9",
         "font": {
          "color": "#4D5663"
         },
         "orientation": "h",
         "x": 0.3,
         "y": 0.95,
         "yanchor": "bottom"
        },
        "margin": {
         "b": 30,
         "l": 30,
         "r": 30,
         "t": 30
        },
        "paper_bgcolor": "#F5F6F9",
        "plot_bgcolor": "#F5F6F9",
        "showlegend": true,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "font": {
          "color": "#4D5663"
         },
         "text": "Twitter Stock Price"
        },
        "xaxis": {
         "anchor": "y2",
         "autorange": true,
         "gridcolor": "#E1E5ED",
         "range": [
          "2019-12-30 12:00",
          "2021-08-12 12:00"
         ],
         "rangeselector": {
          "bgcolor": "rgba(150, 200, 250, 1)",
          "buttons": [
           {
            "count": 1,
            "label": "1m",
            "step": "month",
            "stepmode": "backward"
           },
           {
            "count": 1,
            "label": "1y",
            "step": "year",
            "stepmode": "backward"
           }
          ],
          "font": {
           "size": 13
          },
          "visible": false,
          "x": 0,
          "y": 0.9
         },
         "rangeslider": {
          "visible": false,
          "yaxis2": {},
          "yaxis3": {}
         },
         "showgrid": true,
         "tickfont": {
          "color": "#4D5663"
         },
         "title": {
          "font": {
           "color": "#4D5663"
          },
          "text": ""
         },
         "type": "date",
         "zerolinecolor": "#E1E5ED"
        },
        "yaxis": {
         "gridcolor": "#E1E5ED",
         "showgrid": true,
         "showticklabels": false,
         "tickfont": {
          "color": "#4D5663"
         },
         "title": {
          "font": {
           "color": "#4D5663"
          },
          "text": ""
         },
         "zerolinecolor": "#E1E5ED"
        },
        "yaxis2": {
         "autorange": true,
         "domain": [
          0.23,
          0.9
         ],
         "gridcolor": "#E1E5ED",
         "range": [
          16.625,
          84.125
         ],
         "showgrid": true,
         "tickfont": {
          "color": "#4D5663"
         },
         "title": {
          "font": {
           "color": "#4D5663"
          },
          "text": ""
         },
         "type": "linear",
         "zerolinecolor": "#E1E5ED"
        },
        "yaxis3": {
         "autorange": true,
         "domain": [
          0,
          0.15
         ],
         "gridcolor": "#E1E5ED",
         "range": [
          0,
          115426000
         ],
         "showgrid": true,
         "tickfont": {
          "color": "#4D5663"
         },
         "title": {
          "font": {
           "color": "#4D5663"
          },
          "text": ""
         },
         "type": "linear",
         "zerolinecolor": "#E1E5ED"
        }
       }
      },
      "image/png": "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",
      "text/html": [
       "<div>                            <div id=\"4852192b-e5af-4e4e-bd97-709948969fb8\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
       "                    window.PLOTLYENV.BASE_URL='https://plot.ly';                                    if (document.getElementById(\"4852192b-e5af-4e4e-bd97-709948969fb8\")) {                    Plotly.newPlot(                        \"4852192b-e5af-4e4e-bd97-709948969fb8\",                        [{\"line\":{\"color\":\"rgba(219, 64, 82, 1.0)\",\"dash\":\"solid\",\"shape\":\"linear\",\"width\":1.3},\"mode\":\"lines\",\"name\":\" SMA(20)\",\"text\":\"\",\"type\":\"scatter\",\"x\":[\"2019-12-31\",\"2020-01-02\",\"2020-01-03\",\"2020-01-06\",\"2020-01-07\",\"2020-01-08\",\"2020-01-09\",\"2020-01-10\",\"2020-01-13\",\"2020-01-14\",\"2020-01-15\",\"2020-01-16\",\"2020-01-17\",\"2020-01-21\",\"2020-01-22\",\"2020-01-23\",\"2020-01-24\",\"2020-01-27\",\"2020-01-28\",\"2020-01-29\",\"2020-01-30\",\"2020-01-31\",\"2020-02-03\",\"2020-02-04\",\"2020-02-05\",\"2020-02-06\",\"2020-02-07\",\"2020-02-10\",\"2020-02-11\",\"2020-02-12\",\"2020-02-13\",\"2020-02-14\",\"2020-02-18\",\"2020-02-19\",\"2020-02-20\",\"2020-02-21\",\"2020-02-24\",\"2020-02-25\",\"2020-02-26\",\"2020-02-27\",\"2020-02-28\",\"2020-03-02\",\"2020-03-03\",\"2020-03-04\",\"2020-03-05\",\"2020-03-06\",\"2020-03-09\",\"2020-03-10\",\"2020-03-11\",\"2020-03-12\",\"2020-03-13\",\"2020-03-16\",\"2020-03-17\",\"2020-03-18\",\"2020-03-19\",\"2020-03-20\",\"2020-03-23\",\"2020-03-24\",\"2020-03-25\",\"2020-03-26\",\"2020-03-27\",\"2020-03-30\",\"2020-03-31\",\"2020-04-01\",\"2020-04-02\",\"2020-04-03\",\"2020-04-06\",\"2020-04-07\",\"2020-04-08\",\"2020-04-09\",\"2020-04-13\",\"2020-04-14\",\"2020-04-15\",\"2020-04-16\",\"2020-04-17\",\"2020-04-20\",\"2020-04-21\",\"2020-04-22\",\"2020-04-23\",\"2020-04-24\",\"2020-04-27\",\"2020-04-28\",\"2020-04-29\",\"2020-04-30\",\"2020-05-01\",\"2020-05-04\",\"2020-05-05\",\"2020-05-06\",\"2020-05-07\",\"2020-05-08\",\"2020-05-11\",\"2020-05-12\",\"2020-05-13\",\"2020-05-14\",\"2020-05-15\",\"2020-05-18\",\"2020-05-19\",\"2020-05-20\",\"2020-05-21\",\"2020-05-22\",\"2020-05-26\",\"2020-05-27\",\"2020-05-28\",\"2020-05-29\",\"2020-06-01\",\"2020-06-02\",\"2020-06-03\",\"2020-06-04\",\"2020-06-05\",\"2020-06-08\",\"2020-06-09\",\"2020-06-10\",\"2020-06-11\",\"2020-06-12\",\"2020-06-15\",\"2020-06-16\",\"2020-06-17\",\"2020-06-18\",\"2020-06-19\",\"2020-06-22\",\"2020-06-23\",\"2020-06-24\",\"2020-06-25\",\"2020-06-26\",\"2020-06-29\",\"2020-06-30\",\"2020-07-01\",\"2020-07-02\",\"2020-07-06\",\"2020-07-07\",\"2020-07-08\",\"2020-07-09\",\"2020-07-10\",\"2020-07-13\",\"2020-07-14\",\"2020-07-15\",\"2020-07-16\",\"2020-07-17\",\"2020-07-20\",\"2020-07-21\",\"2020-07-22\",\"2020-07-23\",\"2020-07-24\",\"2020-07-27\",\"2020-07-28\",\"2020-07-29\",\"2020-07-30\",\"2020-07-31\",\"2020-08-03\",\"2020-08-04\",\"2020-08-05\",\"2020-08-06\",\"2020-08-07\",\"2020-08-10\",\"2020-08-11\",\"2020-08-12\",\"2020-08-13\",\"2020-08-14\",\"2020-08-17\",\"2020-08-18\",\"2020-08-19\",\"2020-08-20\",\"2020-08-21\",\"2020-08-24\",\"2020-08-25\",\"2020-08-26\",\"2020-08-27\",\"2020-08-28\",\"2020-08-31\",\"2020-09-01\",\"2020-09-02\",\"2020-09-03\",\"2020-09-04\",\"2020-09-08\",\"2020-09-09\",\"2020-09-10\",\"2020-09-11\",\"2020-09-14\",\"2020-09-15\",\"2020-09-16\",\"2020-09-17\",\"2020-09-18\",\"2020-09-21\",\"2020-09-22\",\"2020-09-23\",\"2020-09-24\",\"2020-09-25\",\"2020-09-28\",\"2020-09-29\",\"2020-09-30\",\"2020-10-01\",\"2020-10-02\",\"2020-10-05\",\"2020-10-06\",\"2020-10-07\",\"2020-10-08\",\"2020-10-09\",\"2020-10-12\",\"2020-10-13\",\"2020-10-14\",\"2020-10-15\",\"2020-10-16\",\"2020-10-19\",\"2020-10-20\",\"2020-10-21\",\"2020-10-22\",\"2020-10-23\",\"2020-10-26\",\"2020-10-27\",\"2020-10-28\",\"2020-10-29\",\"2020-10-30\",\"2020-11-02\",\"2020-11-03\",\"2020-11-04\",\"2020-11-05\",\"2020-11-06\",\"2020-11-09\",\"2020-11-10\",\"2020-11-11\",\"2020-11-12\",\"2020-11-13\",\"2020-11-16\",\"2020-11-17\",\"2020-11-18\",\"2020-11-19\",\"2020-11-20\",\"2020-11-23\",\"2020-11-24\",\"2020-11-25\",\"2020-11-27\",\"2020-11-30\",\"2020-12-01\",\"2020-12-02\",\"2020-12-03\",\"2020-12-04\",\"2020-12-07\",\"2020-12-08\",\"2020-12-09\",\"2020-12-10\",\"2020-12-11\",\"2020-12-14\",\"2020-12-15\",\"2020-12-16\",\"2020-12-17\",\"2020-12-18\",\"2020-12-21\",\"2020-12-22\",\"2020-12-23\",\"2020-12-24\",\"2020-12-28\",\"2020-12-29\",\"2020-12-30\",\"2020-12-31\",\"2021-01-04\",\"2021-01-05\",\"2021-01-06\",\"2021-01-07\",\"2021-01-08\",\"2021-01-11\",\"2021-01-12\",\"2021-01-13\",\"2021-01-14\",\"2021-01-15\",\"2021-01-19\",\"2021-01-20\",\"2021-01-21\",\"2021-01-22\",\"2021-01-25\",\"2021-01-26\",\"2021-01-27\",\"2021-01-28\",\"2021-01-29\",\"2021-02-01\",\"2021-02-02\",\"2021-02-03\",\"2021-02-04\",\"2021-02-05\",\"2021-02-08\",\"2021-02-09\",\"2021-02-10\",\"2021-02-11\",\"2021-02-12\",\"2021-02-16\",\"2021-02-17\",\"2021-02-18\",\"2021-02-19\",\"2021-02-22\",\"2021-02-23\",\"2021-02-24\",\"2021-02-25\",\"2021-02-26\",\"2021-03-01\",\"2021-03-02\",\"2021-03-03\",\"2021-03-04\",\"2021-03-05\",\"2021-03-08\",\"2021-03-09\",\"2021-03-10\",\"2021-03-11\",\"2021-03-12\",\"2021-03-15\",\"2021-03-16\",\"2021-03-17\",\"2021-03-18\",\"2021-03-19\",\"2021-03-22\",\"2021-03-23\",\"2021-03-24\",\"2021-03-25\",\"2021-03-26\",\"2021-03-29\",\"2021-03-30\",\"2021-03-31\",\"2021-04-01\",\"2021-04-05\",\"2021-04-06\",\"2021-04-07\",\"2021-04-08\",\"2021-04-09\",\"2021-04-12\",\"2021-04-13\",\"2021-04-14\",\"2021-04-15\",\"2021-04-16\",\"2021-04-19\",\"2021-04-20\",\"2021-04-21\",\"2021-04-22\",\"2021-04-23\",\"2021-04-26\",\"2021-04-27\",\"2021-04-28\",\"2021-04-29\",\"2021-04-30\",\"2021-05-03\",\"2021-05-04\",\"2021-05-05\",\"2021-05-06\",\"2021-05-07\",\"2021-05-10\",\"2021-05-11\",\"2021-05-12\",\"2021-05-13\",\"2021-05-14\",\"2021-05-17\",\"2021-05-18\",\"2021-05-19\",\"2021-05-20\",\"2021-05-21\",\"2021-05-24\",\"2021-05-25\",\"2021-05-26\",\"2021-05-27\",\"2021-05-28\",\"2021-06-01\",\"2021-06-02\",\"2021-06-03\",\"2021-06-04\",\"2021-06-07\",\"2021-06-08\",\"2021-06-09\",\"2021-06-10\",\"2021-06-11\",\"2021-06-14\",\"2021-06-15\",\"2021-06-16\",\"2021-06-17\",\"2021-06-18\",\"2021-06-21\",\"2021-06-22\",\"2021-06-23\",\"2021-06-24\",\"2021-06-25\",\"2021-06-28\",\"2021-06-29\",\"2021-06-30\",\"2021-07-01\",\"2021-07-02\",\"2021-07-06\",\"2021-07-07\",\"2021-07-08\",\"2021-07-09\",\"2021-07-12\",\"2021-07-13\",\"2021-07-14\",\"2021-07-15\",\"2021-07-16\",\"2021-07-19\",\"2021-07-20\",\"2021-07-21\",\"2021-07-22\",\"2021-07-23\",\"2021-07-26\",\"2021-07-27\",\"2021-07-28\",\"2021-07-29\",\"2021-07-30\",\"2021-08-02\",\"2021-08-03\",\"2021-08-04\",\"2021-08-05\",\"2021-08-06\",\"2021-08-09\",\"2021-08-10\",\"2021-08-11\",\"2021-08-12\"],\"y\":[\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",33.06349964141846,33.121999740600586,33.13099975585938,33.2084997177124,33.324499702453615,33.36699962615967,33.634999656677245,33.825499534606934,33.984499549865724,34.13249969482422,34.330999755859374,34.527499771118165,34.66349983215332,34.855499839782716,35.0894998550415,35.34099979400635,35.56199989318848,35.69699993133545,35.81849994659424,35.87900009155273,35.84799995422363,35.846999931335446,36.013999938964844,36.10699996948242,36.20900001525879,36.28800010681152,36.04050006866455,35.81200008392334,35.729500198364256,35.51200008392334,35.01150007247925,34.61800012588501,33.97450017929077,33.295500087738034,32.45700006484985,31.711000061035158,30.993000030517578,30.433000087738037,29.96500015258789,29.532000064849854,29.2020001411438,28.806500148773193,28.29500017166138,27.776500129699706,27.142500114440917,26.545000076293945,26.026500129699706,25.650000190734865,25.21500015258789,25.04300022125244,25.09250020980835,24.988500118255615,25.18350009918213,25.335000133514406,25.562500095367433,25.691000175476074,25.844000148773194,25.897000122070313,26.026500129699706,26.12100019454956,26.237500190734863,26.473000144958498,26.63300018310547,26.959500217437743,27.227500247955323,27.468500232696535,27.725500202178956,27.882500171661377,27.98600015640259,28.031500148773194,28.1395001411438,28.263500213623047,28.32400016784668,28.35500011444092,28.45550012588501,28.570500087738036,28.702000045776366,28.908500003814698,29.09799995422363,29.321999931335448,29.51599988937378,29.71649980545044,29.930499744415282,29.955999755859374,30.07049970626831,30.272999668121336,30.47449960708618,30.814999675750734,31.1169997215271,31.421999645233154,31.757499599456786,32.068999481201175,32.36849946975708,32.61349945068359,32.85549955368042,33.110999584198,33.360499668121335,33.5834997177124,33.67349967956543,33.72699966430664,33.76949977874756,33.7144998550415,33.64749984741211,33.635999870300296,33.539999866485594,33.41999988555908,33.296500015258786,33.09299993515015,32.95049991607666,32.82399997711182,32.641500091552736,32.616000175476074,32.645000267028806,32.76350040435791,32.78450031280518,32.79800033569336,32.85000019073486,32.89700012207031,32.98600025177002,33.16850032806396,33.34550018310547,33.547000122070315,33.882500076293944,34.191000080108644,34.58100004196167,34.93700008392334,35.30550003051758,35.60100011825561,35.87750015258789,36.08000011444092,36.24799995422363,36.317000007629396,36.41549987792969,36.50249977111817,36.6834997177124,36.82849960327148,36.916999626159665,37.043999671936035,37.14849967956543,37.193999671936034,37.24399967193604,37.341499710083006,37.36749973297119,37.45349960327148,37.63549976348877,37.83249969482422,38.02849979400635,38.21199970245361,38.44549961090088,38.65499973297119,38.89499988555908,39.23899974822998,39.43599987030029,39.57249984741211,39.60999984741211,39.723999977111816,39.79950008392334,39.85500011444092,39.89850006103516,39.95450000762939,40.03400001525879,40.05699996948242,40.11650009155274,40.14850025177002,40.2605001449585,40.4995002746582,40.60250015258789,40.775000190734865,40.929000282287596,41.137000274658206,41.30450019836426,41.456000328063965,41.680500221252444,42.052500343322755,42.42300033569336,42.73850021362305,43.09150009155273,43.44000015258789,43.91400012969971,44.30950012207031,44.62850017547608,44.962500190734865,45.24550018310547,45.541500091552734,45.722500038146975,45.96800003051758,46.325,46.65499992370606,46.89749984741211,47.22399978637695,47.425499725341794,47.71199970245361,47.47399978637695,47.08199977874756,46.88849983215332,46.73299980163574,46.61799983978271,46.47899971008301,46.225999641418454,45.996499633789064,45.87899971008301,45.71799983978271,45.60149974822998,45.44699974060059,45.271999740600585,44.92649974822998,44.593499755859376,44.30549983978271,44.10249977111816,43.800499725341794,43.69549980163574,43.40349979400635,43.66099967956543,44.02099952697754,44.29599952697754,44.547499656677246,44.74849967956543,44.98749980926514,45.199499893188474,45.44049987792969,45.819499778747556,46.25099964141846,46.67799968719483,47.182499694824216,47.741499710083005,48.30649967193604,48.918999671936035,49.416999626159665,49.915499687194824,50.36899967193604,50.7459997177124,51.1379997253418,51.53049983978271,51.913500022888186,52.259500122070314,52.59650001525879,52.90400009155273,53.17199993133545,53.4170000076294,53.629500007629396,53.47800006866455,53.258000183105466,53.01800022125244,52.6665002822876,52.22400035858154,51.78900032043457,51.37550029754639,50.9995002746582,50.657000350952146,50.33400039672851,50.11900024414062,49.807000160217285,49.66750011444092,49.47749996185303,49.40299987792969,49.37649993896484,49.411499977111816,49.57399997711182,49.79649982452393,50.132499885559085,50.71699981689453,51.753499603271486,52.820499420166016,54.125999450683594,55.564999389648435,56.85799942016602,58.090999603271484,59.34899959564209,60.470499420166014,61.736999320983884,62.84949932098389,64.16949920654297,65.44399909973144,66.7989990234375,67.84949893951416,68.69249897003174,69.300998878479,69.82299880981445,70.15799884796142,70.62399864196777,70.87199878692627,70.90649890899658,70.88349895477295,70.80249881744385,70.56699886322022,70.48749866485596,70.21049861907959,69.90799884796142,69.64399890899658,69.19899883270264,68.70599899291992,68.03649921417237,67.24649925231934,66.51199932098389,65.97799949645996,65.61649951934814,65.47049961090087,65.33499965667724,65.51099967956543,65.58449974060059,65.90399971008301,66.04049987792969,66.17849998474121,66.28699989318848,66.31149978637696,66.38699989318847,66.55699996948242,66.64249992370605,66.66699981689453,66.82000007629395,66.93249988555908,67.22349967956544,67.49649982452392,67.65,67.78549976348877,67.85849952697754,67.42799949645996,66.94499969482422,66.31499977111817,65.54349994659424,64.67299995422363,63.802999877929686,62.85049991607666,61.87200012207031,60.92000026702881,59.84000034332276,58.92050018310547,58.15349998474121,57.528000068664554,56.80749988555908,56.32749996185303,55.69900016784668,55.216000175476076,54.76550006866455,54.373000144958496,54.0225004196167,54.16150035858154,54.30450019836426,54.44250011444092,54.61499996185303,54.87449989318848,55.16649990081787,55.51649990081787,55.85799980163574,56.337999725341795,56.85749969482422,57.312499809265134,57.6939998626709,58.030999946594235,58.42049999237061,58.72749996185303,59.10299987792969,59.43899974822998,59.913499641418454,60.4334997177124,60.92599964141846,61.44049968719482,62.018499755859374,62.600999641418454,63.155999755859376,63.66599960327149,64.19499950408935,64.69249954223633,65.04849967956542,65.48199977874756,65.94999980926514,66.38849964141846,66.89049949645997,67.29749946594238,67.58249969482422,67.84099960327148,68.13999977111817,68.4279998779297,68.58199996948242,68.75400009155274,68.79200019836426,68.79400024414062,68.84200019836426,68.92000045776368,69.00200042724609,68.99850044250488,68.91950035095215,68.91650009155273,69.03899993896485,68.9590000152588,68.81650009155274,68.62050018310546,68.38000030517578,68.22400016784668],\"yaxis\":\"y2\"},{\"line\":{\"color\":\"rgba(0, 128, 0, 1.0)\",\"dash\":\"solid\",\"shape\":\"linear\",\"width\":1.3},\"mode\":\"lines\",\"name\":\" EMA(20)\",\"text\":\"\",\"type\":\"scatter\",\"x\":[\"2019-12-31\",\"2020-01-02\",\"2020-01-03\",\"2020-01-06\",\"2020-01-07\",\"2020-01-08\",\"2020-01-09\",\"2020-01-10\",\"2020-01-13\",\"2020-01-14\",\"2020-01-15\",\"2020-01-16\",\"2020-01-17\",\"2020-01-21\",\"2020-01-22\",\"2020-01-23\",\"2020-01-24\",\"2020-01-27\",\"2020-01-28\",\"2020-01-29\",\"2020-01-30\",\"2020-01-31\",\"2020-02-03\",\"2020-02-04\",\"2020-02-05\",\"2020-02-06\",\"2020-02-07\",\"2020-02-10\",\"2020-02-11\",\"2020-02-12\",\"2020-02-13\",\"2020-02-14\",\"2020-02-18\",\"2020-02-19\",\"2020-02-20\",\"2020-02-21\",\"2020-02-24\",\"2020-02-25\",\"2020-02-26\",\"2020-02-27\",\"2020-02-28\",\"2020-03-02\",\"2020-03-03\",\"2020-03-04\",\"2020-03-05\",\"2020-03-06\",\"2020-03-09\",\"2020-03-10\",\"2020-03-11\",\"2020-03-12\",\"2020-03-13\",\"2020-03-16\",\"2020-03-17\",\"2020-03-18\",\"2020-03-19\",\"2020-03-20\",\"2020-03-23\",\"2020-03-24\",\"2020-03-25\",\"2020-03-26\",\"2020-03-27\",\"2020-03-30\",\"2020-03-31\",\"2020-04-01\",\"2020-04-02\",\"2020-04-03\",\"2020-04-06\",\"2020-04-07\",\"2020-04-08\",\"2020-04-09\",\"2020-04-13\",\"2020-04-14\",\"2020-04-15\",\"2020-04-16\",\"2020-04-17\",\"2020-04-20\",\"2020-04-21\",\"2020-04-22\",\"2020-04-23\",\"2020-04-24\",\"2020-04-27\",\"2020-04-28\",\"2020-04-29\",\"2020-04-30\",\"2020-05-01\",\"2020-05-04\",\"2020-05-05\",\"2020-05-06\",\"2020-05-07\",\"2020-05-08\",\"2020-05-11\",\"2020-05-12\",\"2020-05-13\",\"2020-05-14\",\"2020-05-15\",\"2020-05-18\",\"2020-05-19\",\"2020-05-20\",\"2020-05-21\",\"2020-05-22\",\"2020-05-26\",\"2020-05-27\",\"2020-05-28\",\"2020-05-29\",\"2020-06-01\",\"2020-06-02\",\"2020-06-03\",\"2020-06-04\",\"2020-06-05\",\"2020-06-08\",\"2020-06-09\",\"2020-06-10\",\"2020-06-11\",\"2020-06-12\",\"2020-06-15\",\"2020-06-16\",\"2020-06-17\",\"2020-06-18\",\"2020-06-19\",\"2020-06-22\",\"2020-06-23\",\"2020-06-24\",\"2020-06-25\",\"2020-06-26\",\"2020-06-29\",\"2020-06-30\",\"2020-07-01\",\"2020-07-02\",\"2020-07-06\",\"2020-07-07\",\"2020-07-08\",\"2020-07-09\",\"2020-07-10\",\"2020-07-13\",\"2020-07-14\",\"2020-07-15\",\"2020-07-16\",\"2020-07-17\",\"2020-07-20\",\"2020-07-21\",\"2020-07-22\",\"2020-07-23\",\"2020-07-24\",\"2020-07-27\",\"2020-07-28\",\"2020-07-29\",\"2020-07-30\",\"2020-07-31\",\"2020-08-03\",\"2020-08-04\",\"2020-08-05\",\"2020-08-06\",\"2020-08-07\",\"2020-08-10\",\"2020-08-11\",\"2020-08-12\",\"2020-08-13\",\"2020-08-14\",\"2020-08-17\",\"2020-08-18\",\"2020-08-19\",\"2020-08-20\",\"2020-08-21\",\"2020-08-24\",\"2020-08-25\",\"2020-08-26\",\"2020-08-27\",\"2020-08-28\",\"2020-08-31\",\"2020-09-01\",\"2020-09-02\",\"2020-09-03\",\"2020-09-04\",\"2020-09-08\",\"2020-09-09\",\"2020-09-10\",\"2020-09-11\",\"2020-09-14\",\"2020-09-15\",\"2020-09-16\",\"2020-09-17\",\"2020-09-18\",\"2020-09-21\",\"2020-09-22\",\"2020-09-23\",\"2020-09-24\",\"2020-09-25\",\"2020-09-28\",\"2020-09-29\",\"2020-09-30\",\"2020-10-01\",\"2020-10-02\",\"2020-10-05\",\"2020-10-06\",\"2020-10-07\",\"2020-10-08\",\"2020-10-09\",\"2020-10-12\",\"2020-10-13\",\"2020-10-14\",\"2020-10-15\",\"2020-10-16\",\"2020-10-19\",\"2020-10-20\",\"2020-10-21\",\"2020-10-22\",\"2020-10-23\",\"2020-10-26\",\"2020-10-27\",\"2020-10-28\",\"2020-10-29\",\"2020-10-30\",\"2020-11-02\",\"2020-11-03\",\"2020-11-04\",\"2020-11-05\",\"2020-11-06\",\"2020-11-09\",\"2020-11-10\",\"2020-11-11\",\"2020-11-12\",\"2020-11-13\",\"2020-11-16\",\"2020-11-17\",\"2020-11-18\",\"2020-11-19\",\"2020-11-20\",\"2020-11-23\",\"2020-11-24\",\"2020-11-25\",\"2020-11-27\",\"2020-11-30\",\"2020-12-01\",\"2020-12-02\",\"2020-12-03\",\"2020-12-04\",\"2020-12-07\",\"2020-12-08\",\"2020-12-09\",\"2020-12-10\",\"2020-12-11\",\"2020-12-14\",\"2020-12-15\",\"2020-12-16\",\"2020-12-17\",\"2020-12-18\",\"2020-12-21\",\"2020-12-22\",\"2020-12-23\",\"2020-12-24\",\"2020-12-28\",\"2020-12-29\",\"2020-12-30\",\"2020-12-31\",\"2021-01-04\",\"2021-01-05\",\"2021-01-06\",\"2021-01-07\",\"2021-01-08\",\"2021-01-11\",\"2021-01-12\",\"2021-01-13\",\"2021-01-14\",\"2021-01-15\",\"2021-01-19\",\"2021-01-20\",\"2021-01-21\",\"2021-01-22\",\"2021-01-25\",\"2021-01-26\",\"2021-01-27\",\"2021-01-28\",\"2021-01-29\",\"2021-02-01\",\"2021-02-02\",\"2021-02-03\",\"2021-02-04\",\"2021-02-05\",\"2021-02-08\",\"2021-02-09\",\"2021-02-10\",\"2021-02-11\",\"2021-02-12\",\"2021-02-16\",\"2021-02-17\",\"2021-02-18\",\"2021-02-19\",\"2021-02-22\",\"2021-02-23\",\"2021-02-24\",\"2021-02-25\",\"2021-02-26\",\"2021-03-01\",\"2021-03-02\",\"2021-03-03\",\"2021-03-04\",\"2021-03-05\",\"2021-03-08\",\"2021-03-09\",\"2021-03-10\",\"2021-03-11\",\"2021-03-12\",\"2021-03-15\",\"2021-03-16\",\"2021-03-17\",\"2021-03-18\",\"2021-03-19\",\"2021-03-22\",\"2021-03-23\",\"2021-03-24\",\"2021-03-25\",\"2021-03-26\",\"2021-03-29\",\"2021-03-30\",\"2021-03-31\",\"2021-04-01\",\"2021-04-05\",\"2021-04-06\",\"2021-04-07\",\"2021-04-08\",\"2021-04-09\",\"2021-04-12\",\"2021-04-13\",\"2021-04-14\",\"2021-04-15\",\"2021-04-16\",\"2021-04-19\",\"2021-04-20\",\"2021-04-21\",\"2021-04-22\",\"2021-04-23\",\"2021-04-26\",\"2021-04-27\",\"2021-04-28\",\"2021-04-29\",\"2021-04-30\",\"2021-05-03\",\"2021-05-04\",\"2021-05-05\",\"2021-05-06\",\"2021-05-07\",\"2021-05-10\",\"2021-05-11\",\"2021-05-12\",\"2021-05-13\",\"2021-05-14\",\"2021-05-17\",\"2021-05-18\",\"2021-05-19\",\"2021-05-20\",\"2021-05-21\",\"2021-05-24\",\"2021-05-25\",\"2021-05-26\",\"2021-05-27\",\"2021-05-28\",\"2021-06-01\",\"2021-06-02\",\"2021-06-03\",\"2021-06-04\",\"2021-06-07\",\"2021-06-08\",\"2021-06-09\",\"2021-06-10\",\"2021-06-11\",\"2021-06-14\",\"2021-06-15\",\"2021-06-16\",\"2021-06-17\",\"2021-06-18\",\"2021-06-21\",\"2021-06-22\",\"2021-06-23\",\"2021-06-24\",\"2021-06-25\",\"2021-06-28\",\"2021-06-29\",\"2021-06-30\",\"2021-07-01\",\"2021-07-02\",\"2021-07-06\",\"2021-07-07\",\"2021-07-08\",\"2021-07-09\",\"2021-07-12\",\"2021-07-13\",\"2021-07-14\",\"2021-07-15\",\"2021-07-16\",\"2021-07-19\",\"2021-07-20\",\"2021-07-21\",\"2021-07-22\",\"2021-07-23\",\"2021-07-26\",\"2021-07-27\",\"2021-07-28\",\"2021-07-29\",\"2021-07-30\",\"2021-08-02\",\"2021-08-03\",\"2021-08-04\",\"2021-08-05\",\"2021-08-06\",\"2021-08-09\",\"2021-08-10\",\"2021-08-11\",\"2021-08-12\"],\"y\":[\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",33.15252437010987,33.15895073683304,33.09428871830002,33.091975477968994,33.17464439287411,33.1951543925669,33.691806340647396,34.00972943004258,34.19546939713116,34.33399626653571,34.56790147120158,34.81476798322163,35.0143138750493,35.30437935107232,35.63443850409055,35.95973000246864,36.18356537111839,36.155606706216496,36.065548837478985,35.92883000230149,35.65084603270451,35.417432197488786,35.45577195913978,35.40569846828607,35.462298614163586,35.41541314811973,35.229183237296205,34.96545141321777,34.90302759989141,34.55988204152656,33.818940960109316,33.3876133368158,32.497364534788325,31.733805964069088,30.806776824633936,30.170893237598953,29.57842728763138,29.11286283491007,28.802114029820515,28.532388818728514,28.330256535745995,28.040708381439458,27.807307597739307,27.49804015661579,27.10013154120707,26.711547628498174,26.366638345078147,26.229815674611256,26.170785668491288,26.331663282001788,26.46864777493149,26.539252661554457,26.672657220840474,26.75240417398727,26.73312751332758,26.72997258471919,26.75664188416325,26.660771228528656,26.830221638579033,26.92829582636689,27.100839059200347,27.37694962499079,27.511525938375225,27.85233300639548,27.931158463422175,27.922476719533197,27.951764607409686,27.963025091925356,27.936070350330162,28.01549226532383,28.197826364357347,28.339938190043085,28.417086897518057,28.389745208303633,28.405959899507327,28.462535147173295,28.574674598837593,28.698991223783214,29.035277730302557,29.350013199091634,29.6614404117386,30.075588784099992,30.360770775597537,30.47879264282346,30.52557423049308,30.655519483745973,30.80832699210666,31.196105475536047,31.436476498885295,31.763478635361437,32.22790918338877,32.579536705822726,32.82339029475851,32.84306729328597,32.89610864877101,33.01171740701678,33.16583966045473,33.277664469229315,33.34931535590242,33.3550948312843,33.36603829694324,33.32260606365456,33.17092925209092,32.99941226039021,32.62327768673977,32.32487026620438,32.08345413756847,31.96217274027074,31.858156368743373,31.904046252919038,32.007470579161684,32.331520985661726,32.654233388999,32.915735116320896,33.00185555236883,33.13310750624944,33.374716140791904,33.55617163017333,33.77082208189882,34.084077252507605,34.36273640193861,34.60818994715484,34.973124107112376,35.21758856505666,35.37305617544375,35.49086040733973,35.64982606829901,35.75174751138512,35.813485988955954,35.86839202711714,35.914259307784185,35.997663270426386,36.158838066262824,36.25228200182335,36.36539787086008,36.452502719282634,36.546549948561335,36.66783087677685,36.78518046240562,36.89802053462443,37.00392318099669,37.18354948658258,37.3527351625721,37.534379272949344,37.815867121093866,38.07626065594784,38.36233124405326,38.555442496014706,38.79492413399657,38.96493153371639,39.17303343773187,39.60131579308553,39.79452391451693,39.8017120114091,39.64821549858052,39.63981415331485,39.57411763994577,39.512773131872436,39.442032877195416,39.408505951042315,39.42674333419268,39.419434299900146,39.48901213094574,39.52815397808224,39.83309165085882,40.35660690611557,40.621691904547276,40.92819745197972,41.23503593520822,41.56884219647094,41.84800008252133,42.31009538541829,42.67294334222462,43.1145679166119,43.351275588755634,43.59115400238698,43.821520128019955,44.01947073733986,44.42237828616464,44.66786606843467,44.79283116117769,44.91065664861761,44.99630852715793,45.074755305030905,45.19620703542044,45.67656842999629,46.11499036802492,46.52689591647102,46.76242963871187,47.191722097669185,47.31917701972896,47.80592209453342,47.19202481032563,46.45659399226634,46.00644213988254,45.69725701432546,45.50799435433948,45.280566218867605,45.08146454342393,44.827039334279945,44.713035689883306,44.53179432639833,44.43162339457338,44.269563980065094,44.134367265213285,44.05776103338866,44.016069404674,44.07930091900751,44.16127212926479,44.26305569240493,44.46943136981168,44.67139030150465,44.84649582722166,45.02016271690963,45.23062336694074,45.474373609663274,45.689195127051185,45.89974811741573,46.04548642101193,46.15829719446187,46.63941166017719,47.0966104188945,47.56550470831061,48.065932802264285,48.6339390857912,49.2049926079173,49.83975511496182,50.29692123636055,50.736262056460696,51.075665597470206,51.35131660920668,51.64452458025135,51.903141345022796,52.13427091512107,52.32624525900277,52.536126546649825,52.6641145963132,52.72086542728653,52.6836403228835,52.569007867583764,52.151007147354434,51.66424464908519,51.24098337019166,50.72184218403315,50.194047719380066,49.787947965646325,49.579571823596304,49.34532678629044,49.22291484219526,49.09120868128027,49.146331489629326,49.0552521693512,49.294751933681965,49.412394490407195,49.72169023869338,50.129148311198776,50.553039122613626,51.12036857012978,51.65938097100283,52.28229714166346,53.004935407398825,54.411131715557644,55.75864274822775,57.29591501276595,58.88297063864278,60.11221161739369,61.2691440477591,62.317796879334125,63.09610173499464,64.05552044298994,64.80451832165235,65.73646860891314,66.81489993745416,67.84490920564119,68.39967958309873,68.63399587140853,68.45456769317914,68.31127524128038,67.85115374613333,67.81961497441267,67.53488991314049,67.62299554850546,67.66842439856408,67.91714576815768,68.04408426642837,68.24940928374397,68.10375137297818,67.92529918097394,67.66669917178334,67.34320369285791,66.84004156718487,66.3028948239234,65.8226189665529,65.54808369609157,65.30445683727017,65.14498485925542,65.01974838037916,64.94548642641634,65.14115438580527,65.50771090751614,66.05173855639109,66.54109702163063,66.95242117293739,67.47599981820451,67.6916186796869,68.07432157538078,68.26914835359042,68.2378011238586,67.99610548808562,67.93266704455887,67.58765090303838,67.53358859256485,67.45610408095897,67.31838008622292,67.16424835879619,66.96670054728138,65.84796727808344,64.77482771169976,63.786749027335865,62.81277306028397,61.95536623295131,61.17771239319665,60.28554943891992,59.580259117890904,58.73452022694315,57.91313740631537,57.32426713354594,56.874336785029286,56.52344743661783,56.18026179207759,56.04023677230569,55.88878572379462,56.00033007136571,56.09553673123565,56.262628325796165,56.43571151677316,56.584691372318574,56.66614920607004,56.71318260048357,56.741450764393065,56.956550691593726,57.211165013167204,57.363435142702805,57.586917422871366,57.84530616707986,58.09813415116749,58.358312025442466,58.536567979422834,58.669275819970736,58.86363041658997,59.05280832683103,59.32968363708262,59.75352317443636,60.39509219246809,61.143178650328274,61.789542617456604,62.40863388393953,63.03638303785005,63.58625108744469,64.01708437534059,64.51069509656931,65.0534859525601,65.40648749386203,65.54206028788039,65.86853085291112,66.24867082981021,66.56784489117315,66.92043077230583,67.0299135268314,66.97087449209596,66.88031469695028,66.98123733927942,67.22492910844589,67.44826916429145,67.8522437621119,67.93203030299708,67.96993235328827,68.15946251816297,68.36999015896478,68.5014196676348,68.56128419961416,68.56782829997643,68.58041579028745,68.64704274162168,68.52541988495123,68.38109438507306,68.12384732984475,67.87014749695217,67.59203792088455],\"yaxis\":\"y2\"},{\"marker\":{\"color\":[\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\"],\"line\":{\"color\":[\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#17BECF\",\"#17BECF\",\"#808080\",\"#808080\",\"#808080\",\"#808080\",\"#808080\"],\"width\":1}},\"name\":\"Volume\",\"opacity\":0.8,\"orientation\":\"v\",\"text\":\"\",\"type\":\"bar\",\"x\":[\"2019-12-31\",\"2020-01-02\",\"2020-01-03\",\"2020-01-06\",\"2020-01-07\",\"2020-01-08\",\"2020-01-09\",\"2020-01-10\",\"2020-01-13\",\"2020-01-14\",\"2020-01-15\",\"2020-01-16\",\"2020-01-17\",\"2020-01-21\",\"2020-01-22\",\"2020-01-23\",\"2020-01-24\",\"2020-01-27\",\"2020-01-28\",\"2020-01-29\",\"2020-01-30\",\"2020-01-31\",\"2020-02-03\",\"2020-02-04\",\"2020-02-05\",\"2020-02-06\",\"2020-02-07\",\"2020-02-10\",\"2020-02-11\",\"2020-02-12\",\"2020-02-13\",\"2020-02-14\",\"2020-02-18\",\"2020-02-19\",\"2020-02-20\",\"2020-02-21\",\"2020-02-24\",\"2020-02-25\",\"2020-02-26\",\"2020-02-27\",\"2020-02-28\",\"2020-03-02\",\"2020-03-03\",\"2020-03-04\",\"2020-03-05\",\"2020-03-06\",\"2020-03-09\",\"2020-03-10\",\"2020-03-11\",\"2020-03-12\",\"2020-03-13\",\"2020-03-16\",\"2020-03-17\",\"2020-03-18\",\"2020-03-19\",\"2020-03-20\",\"2020-03-23\",\"2020-03-24\",\"2020-03-25\",\"2020-03-26\",\"2020-03-27\",\"2020-03-30\",\"2020-03-31\",\"2020-04-01\",\"2020-04-02\",\"2020-04-03\",\"2020-04-06\",\"2020-04-07\",\"2020-04-08\",\"2020-04-09\",\"2020-04-13\",\"2020-04-14\",\"2020-04-15\",\"2020-04-16\",\"2020-04-17\",\"2020-04-20\",\"2020-04-21\",\"2020-04-22\",\"2020-04-23\",\"2020-04-24\",\"2020-04-27\",\"2020-04-28\",\"2020-04-29\",\"2020-04-30\",\"2020-05-01\",\"2020-05-04\",\"2020-05-05\",\"2020-05-06\",\"2020-05-07\",\"2020-05-08\",\"2020-05-11\",\"2020-05-12\",\"2020-05-13\",\"2020-05-14\",\"2020-05-15\",\"2020-05-18\",\"2020-05-19\",\"2020-05-20\",\"2020-05-21\",\"2020-05-22\",\"2020-05-26\",\"2020-05-27\",\"2020-05-28\",\"2020-05-29\",\"2020-06-01\",\"2020-06-02\",\"2020-06-03\",\"2020-06-04\",\"2020-06-05\",\"2020-06-08\",\"2020-06-09\",\"2020-06-10\",\"2020-06-11\",\"2020-06-12\",\"2020-06-15\",\"2020-06-16\",\"2020-06-17\",\"2020-06-18\",\"2020-06-19\",\"2020-06-22\",\"2020-06-23\",\"2020-06-24\",\"2020-06-25\",\"2020-06-26\",\"2020-06-29\",\"2020-06-30\",\"2020-07-01\",\"2020-07-02\",\"2020-07-06\",\"2020-07-07\",\"2020-07-08\",\"2020-07-09\",\"2020-07-10\",\"2020-07-13\",\"2020-07-14\",\"2020-07-15\",\"2020-07-16\",\"2020-07-17\",\"2020-07-20\",\"2020-07-21\",\"2020-07-22\",\"2020-07-23\",\"2020-07-24\",\"2020-07-27\",\"2020-07-28\",\"2020-07-29\",\"2020-07-30\",\"2020-07-31\",\"2020-08-03\",\"2020-08-04\",\"2020-08-05\",\"2020-08-06\",\"2020-08-07\",\"2020-08-10\",\"2020-08-11\",\"2020-08-12\",\"2020-08-13\",\"2020-08-14\",\"2020-08-17\",\"2020-08-18\",\"2020-08-19\",\"2020-08-20\",\"2020-08-21\",\"2020-08-24\",\"2020-08-25\",\"2020-08-26\",\"2020-08-27\",\"2020-08-28\",\"2020-08-31\",\"2020-09-01\",\"2020-09-02\",\"2020-09-03\",\"2020-09-04\",\"2020-09-08\",\"2020-09-09\",\"2020-09-10\",\"2020-09-11\",\"2020-09-14\",\"2020-09-15\",\"2020-09-16\",\"2020-09-17\",\"2020-09-18\",\"2020-09-21\",\"2020-09-22\",\"2020-09-23\",\"2020-09-24\",\"2020-09-25\",\"2020-09-28\",\"2020-09-29\",\"2020-09-30\",\"2020-10-01\",\"2020-10-02\",\"2020-10-05\",\"2020-10-06\",\"2020-10-07\",\"2020-10-08\",\"2020-10-09\",\"2020-10-12\",\"2020-10-13\",\"2020-10-14\",\"2020-10-15\",\"2020-10-16\",\"2020-10-19\",\"2020-10-20\",\"2020-10-21\",\"2020-10-22\",\"2020-10-23\",\"2020-10-26\",\"2020-10-27\",\"2020-10-28\",\"2020-10-29\",\"2020-10-30\",\"2020-11-02\",\"2020-11-03\",\"2020-11-04\",\"2020-11-05\",\"2020-11-06\",\"2020-11-09\",\"2020-11-10\",\"2020-11-11\",\"2020-11-12\",\"2020-11-13\",\"2020-11-16\",\"2020-11-17\",\"2020-11-18\",\"2020-11-19\",\"2020-11-20\",\"2020-11-23\",\"2020-11-24\",\"2020-11-25\",\"2020-11-27\",\"2020-11-30\",\"2020-12-01\",\"2020-12-02\",\"2020-12-03\",\"2020-12-04\",\"2020-12-07\",\"2020-12-08\",\"2020-12-09\",\"2020-12-10\",\"2020-12-11\",\"2020-12-14\",\"2020-12-15\",\"2020-12-16\",\"2020-12-17\",\"2020-12-18\",\"2020-12-21\",\"2020-12-22\",\"2020-12-23\",\"2020-12-24\",\"2020-12-28\",\"2020-12-29\",\"2020-12-30\",\"2020-12-31\",\"2021-01-04\",\"2021-01-05\",\"2021-01-06\",\"2021-01-07\",\"2021-01-08\",\"2021-01-11\",\"2021-01-12\",\"2021-01-13\",\"2021-01-14\",\"2021-01-15\",\"2021-01-19\",\"2021-01-20\",\"2021-01-21\",\"2021-01-22\",\"2021-01-25\",\"2021-01-26\",\"2021-01-27\",\"2021-01-28\",\"2021-01-29\",\"2021-02-01\",\"2021-02-02\",\"2021-02-03\",\"2021-02-04\",\"2021-02-05\",\"2021-02-08\",\"2021-02-09\",\"2021-02-10\",\"2021-02-11\",\"2021-02-12\",\"2021-02-16\",\"2021-02-17\",\"2021-02-18\",\"2021-02-19\",\"2021-02-22\",\"2021-02-23\",\"2021-02-24\",\"2021-02-25\",\"2021-02-26\",\"2021-03-01\",\"2021-03-02\",\"2021-03-03\",\"2021-03-04\",\"2021-03-05\",\"2021-03-08\",\"2021-03-09\",\"2021-03-10\",\"2021-03-11\",\"2021-03-12\",\"2021-03-15\",\"2021-03-16\",\"2021-03-17\",\"2021-03-18\",\"2021-03-19\",\"2021-03-22\",\"2021-03-23\",\"2021-03-24\",\"2021-03-25\",\"2021-03-26\",\"2021-03-29\",\"2021-03-30\",\"2021-03-31\",\"2021-04-01\",\"2021-04-05\",\"2021-04-06\",\"2021-04-07\",\"2021-04-08\",\"2021-04-09\",\"2021-04-12\",\"2021-04-13\",\"2021-04-14\",\"2021-04-15\",\"2021-04-16\",\"2021-04-19\",\"2021-04-20\",\"2021-04-21\",\"2021-04-22\",\"2021-04-23\",\"2021-04-26\",\"2021-04-27\",\"2021-04-28\",\"2021-04-29\",\"2021-04-30\",\"2021-05-03\",\"2021-05-04\",\"2021-05-05\",\"2021-05-06\",\"2021-05-07\",\"2021-05-10\",\"2021-05-11\",\"2021-05-12\",\"2021-05-13\",\"2021-05-14\",\"2021-05-17\",\"2021-05-18\",\"2021-05-19\",\"2021-05-20\",\"2021-05-21\",\"2021-05-24\",\"2021-05-25\",\"2021-05-26\",\"2021-05-27\",\"2021-05-28\",\"2021-06-01\",\"2021-06-02\",\"2021-06-03\",\"2021-06-04\",\"2021-06-07\",\"2021-06-08\",\"2021-06-09\",\"2021-06-10\",\"2021-06-11\",\"2021-06-14\",\"2021-06-15\",\"2021-06-16\",\"2021-06-17\",\"2021-06-18\",\"2021-06-21\",\"2021-06-22\",\"2021-06-23\",\"2021-06-24\",\"2021-06-25\",\"2021-06-28\",\"2021-06-29\",\"2021-06-30\",\"2021-07-01\",\"2021-07-02\",\"2021-07-06\",\"2021-07-07\",\"2021-07-08\",\"2021-07-09\",\"2021-07-12\",\"2021-07-13\",\"2021-07-14\",\"2021-07-15\",\"2021-07-16\",\"2021-07-19\",\"2021-07-20\",\"2021-07-21\",\"2021-07-22\",\"2021-07-23\",\"2021-07-26\",\"2021-07-27\",\"2021-07-28\",\"2021-07-29\",\"2021-07-30\",\"2021-08-02\",\"2021-08-03\",\"2021-08-04\",\"2021-08-05\",\"2021-08-06\",\"2021-08-09\",\"2021-08-10\",\"2021-08-11\",\"2021-08-12\"],\"y\":[11050600,10721100,14429500,12582500,13712900,14632400,10865500,11148900,11001300,9814200,11262300,19919900,19303500,17055600,12851800,14887200,12336600,11800800,9739400,7563700,12083800,12033100,14190900,14598200,20468200,87659700,31135100,34860300,14464700,20716400,19621400,12210400,16793600,19068600,17273400,15312000,25155400,19841300,18044300,27234100,33478200,39914700,22973100,14980300,14132200,20361100,41767600,27327600,27445400,32519500,29059100,28768100,28741700,31012700,29980000,28250700,21882600,32815900,25738800,20435300,22069300,20720800,24993400,20027000,17114800,25029700,26014900,25831100,31240800,22233200,15059900,13766200,15822200,21946600,21129500,16755400,28093700,28558000,19019600,15923400,22490600,23364000,29568800,68959100,28231100,17846300,19221900,15531000,16190500,19190300,13839800,13734500,19401700,12364700,15939200,15772400,17386200,26955500,22881700,13310700,20489300,24550900,37254900,39413300,14583600,15318400,28396300,20265100,23211500,20211900,17840700,17480700,23727900,14709400,19342200,20132400,12266100,10543600,19345500,12896600,20549300,16586800,17802600,56913600,27482800,20648000,20779000,14553700,22400000,27940900,109654700,34648800,15238700,22480600,18533200,16579900,24353300,18564800,16867000,19264300,18185200,90266700,23068300,22911300,13566800,10675600,9997400,18624600,15488000,10596700,10024000,10478900,11341100,29298400,20486000,11009500,13259400,10377300,10188500,8572500,17077200,7745400,9758600,20496600,12470500,12532500,13055000,8024400,7468300,10468000,26800000,18760800,17825000,16117300,10744000,10412300,9885500,9418400,14105000,18883300,12753000,19493000,13790000,22379000,64803800,27772800,15456600,11672200,13585100,12923400,18687000,13496800,11202400,15666600,19407700,11355500,8285400,24162400,9805900,14449000,19823800,13005300,9870700,9508400,30719700,18289000,14897700,22804000,19306200,20168100,55935600,86346700,47323500,33813100,34717000,19693600,17096900,21244700,14129200,11060800,9104100,8112900,14275400,11288800,9988700,13874000,17045500,10392100,9053900,15076600,5133300,9968800,9080300,10284000,7136000,6275300,7746200,7454900,9244800,24147200,18020200,17418200,10868700,29099400,11739900,20450300,10349400,9259200,6008600,3661100,6829600,6644800,5329500,4832300,12231600,8317200,9260000,18967600,16955400,61647600,26255100,19097200,29748700,25937300,19476300,21432900,15457900,13564400,13642300,29448500,22427000,19974000,17321500,13820700,13977000,16816300,10999300,16889700,18285200,38253800,73649200,30470000,38044200,27748000,21422600,16072100,25911000,21049600,32669500,18309900,63625700,35323500,24359200,20517000,19379400,22538600,22346200,21722000,22603900,22464200,14722200,15414000,15467200,13216100,15681600,15835600,20721600,24123800,17788600,15475500,19197200,15582600,22034500,12533300,14479800,15261000,15502100,15587900,23964600,16843400,15659500,9495200,9991700,12931200,11108300,9429900,18198600,14171200,11817300,16804100,12407700,11769800,10827000,13340300,31017700,88378800,79649000,30404500,19111100,19586900,21748600,17362300,16749900,17223200,14303900,9836800,21351700,23612300,21551300,12612700,12583400,25656400,13488900,15984400,9113900,8752700,13122700,9472900,21985700,12256100,10538600,12772900,16163600,8717500,6980400,9316600,9579900,9336500,10201300,13273000,12027100,16686200,18548000,23144800,13896900,11176100,9526400,9752900,9978800,8095600,12317400,10609300,12782500,14393700,9223600,9992700,21555900,14933800,14271100,15830100,11583900,10082900,24130400,44275800,29185100,16988300,23203600,11630000,13214600,12040800,9221400,7578400,8634600,11451000,7938300,8991400,8627100,7959300],\"yaxis\":\"y3\"},{\"close\":[32.04999923706055,32.29999923706055,31.520000457763672,31.639999389648438,32.540000915527344,33.04999923706055,33.220001220703125,32.779998779296875,32.689998626708984,32.81999969482422,33.22999954223633,34.189998626708984,34.220001220703125,34.09000015258789,34.02000045776367,33.88999938964844,33.189998626708984,32.779998779296875,33.41999816894531,33.630001068115234,33.220001220703125,32.47999954223633,33.06999969482422,33.959999084472656,33.38999938964844,38.40999984741211,37.029998779296875,35.959999084472656,35.650001525878906,36.790000915527344,37.15999984741211,36.90999984741211,38.060001373291016,38.77000045776367,39.04999923706055,38.310001373291016,35.88999938964844,35.209999084472656,34.630001068115234,33.0099983215332,33.20000076293945,35.81999969482422,34.93000030517578,36.0,34.970001220703125,33.459999084472656,32.459999084472656,34.310001373291016,31.299999237060547,26.780000686645508,29.290000915527344,24.040000915527344,24.479999542236328,22.0,24.1299991607666,23.950000762939453,24.690000534057617,25.850000381469727,25.969999313354492,26.40999984741211,25.290000915527344,25.59000015258789,24.559999465942383,23.31999969482422,23.020000457763672,23.09000015258789,24.93000030517578,25.610000610351562,27.860000610351562,27.770000457763672,27.209999084472656,27.940000534057617,27.510000228881836,26.549999237060547,26.700000762939453,27.010000228881836,25.75,28.440000534057617,27.860000610351562,28.739999771118164,30.0,28.790000915527344,31.09000015258789,28.68000030517578,27.84000015258789,28.229999542236328,28.06999969482422,27.68000030517578,28.770000457763672,29.93000030517578,29.690000534057617,29.149999618530273,28.1299991607666,28.559999465942383,29.0,29.639999389648438,29.8799991607666,32.22999954223633,32.34000015258789,32.619998931884766,34.0099983215332,33.06999969482422,31.600000381469727,30.969999313354492,31.889999389648438,32.2599983215332,34.880001068115234,33.720001220703125,34.869998931884766,36.63999938964844,35.91999816894531,35.13999938964844,33.029998779296875,33.400001525878906,34.11000061035156,34.630001068115234,34.34000015258789,34.029998779296875,33.40999984741211,33.470001220703125,32.90999984741211,31.729999542236328,31.3700008392334,29.049999237060547,29.489999771118164,29.790000915527344,30.809999465942383,30.8700008392334,32.34000015258789,32.9900016784668,35.40999984741211,35.720001220703125,35.400001525878906,33.81999969482422,34.380001068115234,35.66999816894531,35.279998779296875,35.810001373291016,37.060001373291016,37.0099983215332,36.939998626708984,38.439998626708984,37.540000915527344,36.849998474121094,36.61000061035156,37.15999984741211,36.720001220703125,36.400001525878906,36.38999938964844,36.349998474121094,36.790000915527344,37.689998626708984,37.13999938964844,37.439998626708984,37.279998779296875,37.439998626708984,37.81999969482422,37.900001525878906,37.970001220703125,38.0099983215332,38.88999938964844,38.959999084472656,39.2599983215332,40.4900016784668,40.54999923706055,41.08000183105469,40.38999938964844,41.06999969482422,40.58000183105469,41.150001525878906,43.66999816894531,41.630001068115234,39.869998931884766,38.189998626708984,39.560001373291016,38.95000076293945,38.93000030517578,38.77000045776367,39.09000015258789,39.599998474121094,39.349998474121094,40.150001525878906,39.900001525878906,42.72999954223633,45.33000183105469,43.13999938964844,43.84000015258789,44.150001525878906,44.7400016784668,44.5,46.70000076293945,46.119998931884766,47.310001373291016,45.599998474121094,45.869998931884766,46.0099983215332,45.900001525878906,48.25,47.0,45.97999954223633,46.029998779296875,45.810001373291016,45.81999969482422,46.349998474121094,50.2400016784668,50.279998779296875,50.439998626708984,49.0,51.27000045776367,48.529998779296875,52.43000030517578,41.36000061035156,39.470001220703125,41.72999954223633,42.7599983215332,43.709999084472656,43.119998931884766,43.189998626708984,42.40999984741211,43.630001068115234,42.810001373291016,43.47999954223633,42.72999954223633,42.849998474121094,43.33000183105469,43.619998931884766,44.68000030517578,44.939998626708984,45.22999954223633,46.43000030517578,46.59000015258789,46.5099983215332,46.66999816894531,47.22999954223633,47.790000915527344,47.72999954223633,47.900001525878906,47.43000030517578,47.22999954223633,51.209999084472656,51.439998626708984,52.02000045776367,52.81999969482422,54.029998779296875,54.630001068115234,55.869998931884766,54.63999938964844,54.90999984741211,54.29999923706055,53.970001220703125,54.43000030517578,54.36000061035156,54.33000183105469,54.150001525878906,54.529998779296875,53.880001068115234,53.2599983215332,52.33000183105469,51.47999954223633,48.18000030517578,47.040000915527344,47.220001220703125,45.790000915527344,45.18000030517578,45.93000030517578,47.599998474121094,47.119998931884766,48.060001373291016,47.84000015258789,49.66999816894531,48.189998626708984,51.56999969482422,50.529998779296875,52.65999984741211,54.0,54.58000183105469,56.5099983215332,56.779998779296875,58.20000076293945,59.869998931884766,67.7699966430664,68.55999755859375,71.9000015258789,73.95999908447266,71.79000091552734,72.26000213623047,72.27999877929688,70.48999786376953,73.16999816894531,71.91999816894531,74.58999633789062,77.05999755859375,77.62999725341797,73.66999816894531,70.86000061035156,66.75,66.94999694824219,63.47999954223633,67.5199966430664,64.83000183105469,68.45999908447266,68.0999984741211,70.27999877929688,69.25,70.19999694824219,66.72000122070312,66.2300033569336,65.20999908447266,64.2699966430664,62.060001373291016,61.20000076293945,61.2599983215332,62.939998626708984,62.9900016784668,63.630001068115234,63.83000183105469,64.23999786376953,67.0,68.98999786376953,71.22000122070312,71.19000244140625,70.86000061035156,72.44999694824219,69.73999786376953,71.70999908447266,70.12000274658203,67.94000244140625,65.69999694824219,67.33000183105469,64.30999755859375,67.0199966430664,66.72000122070312,66.01000213623047,65.69999694824219,65.08999633789062,55.220001220703125,54.58000183105469,54.400001525878906,53.560001373291016,53.810001373291016,53.790000915527344,51.810001373291016,52.880001068115234,50.70000076293945,50.11000061035156,51.72999954223633,52.599998474121094,53.189998626708984,52.91999816894531,54.709999084472656,54.45000076293945,57.060001373291016,57.0,57.849998474121094,58.08000183105469,58.0,57.439998626708984,57.15999984741211,57.0099983215332,59.0,59.630001068115234,58.810001373291016,59.709999084472656,60.29999923706055,60.5,60.83000183105469,60.22999954223633,59.93000030517578,60.709999084472656,60.849998474121094,61.959999084472656,63.779998779296875,66.48999786376953,68.25,67.93000030517578,68.29000091552734,69.0,68.80999755859375,68.11000061035156,69.19999694824219,70.20999908447266,68.76000213623047,66.83000183105469,68.97000122070312,69.86000061035156,69.5999984741211,70.2699966430664,68.06999969482422,66.41000366210938,66.0199966430664,67.94000244140625,69.54000091552734,69.56999969482422,71.69000244140625,68.69000244140625,68.33000183105469,69.95999908447266,70.37000274658203,69.75,69.12999725341797,68.62999725341797,68.69999694824219,69.27999877929688,67.37000274658203,67.01000213623047,65.68000030517578,65.45999908447266,64.94999694824219],\"decreasing\":{\"line\":{\"color\":\"#808080\"}},\"high\":[32.31999969482422,32.5,32.099998474121094,31.709999084472656,32.70000076293945,33.400001525878906,33.540000915527344,33.0099983215332,33.06999969482422,33.119998931884766,33.5099983215332,34.27000045776367,34.38999938964844,34.38999938964844,34.540000915527344,34.36000061035156,34.11000061035156,32.93000030517578,33.65999984741211,33.880001068115234,33.22999954223633,33.13999938964844,33.2400016784668,34.119998931884766,34.15999984741211,39.63999938964844,38.150001525878906,36.849998474121094,36.279998779296875,37.02000045776367,37.31999969482422,37.349998474121094,38.06999969482422,38.90999984741211,39.060001373291016,38.7599983215332,36.59000015258789,36.45000076293945,35.81999969482422,34.20000076293945,33.369998931884766,36.86000061035156,36.47999954223633,36.0,35.72999954223633,33.9900016784668,35.36000061035156,34.779998779296875,33.459999084472656,29.690000534057617,29.40999984741211,28.350000381469727,25.84000015258789,23.489999771118164,25.170000076293945,25.860000610351562,25.25,26.459999084472656,27.459999084472656,27.030000686645508,25.829999923706055,25.940000534057617,26.329999923706055,24.389999389648438,23.579999923706055,24.31999969482422,25.049999237060547,26.860000610351562,28.459999084472656,29.049999237060547,27.6200008392334,28.40999984741211,27.639999389648438,27.170000076293945,27.920000076293945,27.530000686645508,26.719999313354492,28.5,28.84000015258789,28.84000015258789,30.389999389648438,30.450000762939453,31.5,30.56999969482422,28.450000762939453,28.420000076293945,28.729999542236328,28.420000076293945,28.780000686645508,29.969999313354492,30.079999923706055,29.93000030517578,29.68000030517578,28.579999923706055,29.25,30.290000915527344,30.350000381469727,32.349998474121094,32.61000061035156,32.77000045776367,34.27000045776367,34.0,32.68000030517578,31.610000610351562,32.099998474121094,32.41999816894531,35.040000915527344,34.939998626708984,35.970001220703125,36.939998626708984,36.20000076293945,36.439998626708984,34.45000076293945,34.16999816894531,34.189998626708984,35.459999084472656,34.81999969482422,34.45000076293945,34.95000076293945,33.63999938964844,33.79999923706055,33.060001373291016,31.610000610351562,31.31999969482422,30.040000915527344,29.81999969482422,31.170000076293945,31.399999618530273,32.810001373291016,33.66999816894531,36.97999954223633,36.18000030517578,35.7599983215332,36.209999084472656,34.65999984741211,35.79999923706055,35.58000183105469,36.0,37.16999816894531,38.5,37.41999816894531,40.2599983215332,38.540000915527344,37.59000015258789,37.31999969482422,37.25,37.099998474121094,37.33000183105469,36.88999938964844,36.61000061035156,37.34000015258789,37.810001373291016,38.029998779296875,39.16999816894531,39.0,38.0,38.27000045776367,37.959999084472656,38.09000015258789,38.459999084472656,39.52000045776367,39.0,39.38999938964844,40.79999923706055,40.70000076293945,41.33000183105469,41.25,41.16999816894531,41.06999969482422,41.25,44.09000015258789,43.0,41.4900016784668,39.18000030517578,39.810001373291016,40.400001525878906,39.4900016784668,39.59000015258789,39.29999923706055,40.900001525878906,39.529998779296875,40.2400016784668,40.20000076293945,42.83000183105469,46.81999969482422,45.06999969482422,44.02000045776367,44.41999816894531,45.5099983215332,45.09000015258789,46.720001220703125,46.88999938964844,47.5,47.869998931884766,46.400001525878906,46.619998931884766,46.40999984741211,48.650001525878906,48.31999969482422,47.70000076293945,46.09000015258789,46.45000076293945,46.29999923706055,46.779998779296875,50.529998779296875,50.34000015258789,50.5,50.650001525878906,51.5099983215332,50.0,52.93000030517578,45.18000030517578,41.599998474121094,42.119998931884766,42.93000030517578,44.040000915527344,44.189998626708984,45.18000030517578,43.970001220703125,43.72999954223633,44.150001525878906,43.529998779296875,43.63999938964844,43.43000030517578,44.290000915527344,43.869998931884766,45.31999969482422,45.56999969482422,45.439998626708984,46.849998474121094,47.0099983215332,46.81999969482422,47.27000045776367,47.939998626708984,48.150001525878906,48.34000015258789,48.34000015258789,48.099998474121094,48.7400016784668,51.7400016784668,52.45000076293945,53.47999954223633,52.959999084472656,56.11000061035156,55.16999816894531,56.08000183105469,55.68000030517578,55.68000030517578,55.45000076293945,55.189998626708984,55.18000030517578,55.400001525878906,54.90999984741211,54.310001373291016,55.4900016784668,54.5,54.52000045776367,53.380001068115234,52.70000076293945,49.4900016784668,49.130001068115234,48.38999938964844,47.65999984741211,46.20000076293945,46.16999816894531,47.91999816894531,48.02000045776367,48.18000030517578,48.95000076293945,52.189998626708984,50.849998474121094,52.25,52.9900016784668,52.75,54.869998931884766,55.189998626708984,56.52000045776367,57.439998626708984,59.599998474121094,60.72999954223633,69.25,69.0199966430664,73.18000030517578,74.83999633789062,73.27999877929688,72.9000015258789,74.95999908447266,73.75,74.33000183105469,73.94999694824219,80.75,79.08000183105469,78.7300033569336,77.0999984741211,74.5,71.77999877929688,67.79000091552734,68.63999938964844,68.20999908447266,69.45999908447266,68.73999786376953,68.81999969482422,70.48999786376953,71.86000061035156,70.81999969482422,69.9000015258789,67.11000061035156,66.88999938964844,65.62999725341797,64.94999694824219,62.0099983215332,61.869998931884766,64.95999908447266,64.0999984741211,64.9800033569336,66.36000061035156,64.33999633789062,67.6500015258789,69.97000122070312,71.44999694824219,71.44999694824219,71.83999633789062,72.77999877929688,73.22000122070312,71.87999725341797,72.19999694824219,69.91999816894531,68.0999984741211,67.36000061035156,67.5,67.12999725341797,67.25,68.36000061035156,66.55999755859375,67.05000305175781,57.630001068115234,55.54999923706055,55.720001220703125,54.970001220703125,53.84000015258789,54.91999816894531,53.08000183105469,53.189998626708984,52.380001068115234,51.77000045776367,51.91999816894531,52.72999954223633,55.150001525878906,53.15999984741211,54.90999984741211,55.0,57.33000183105469,57.63999938964844,58.61000061035156,58.29999923706055,58.560001373291016,58.20000076293945,57.63999938964844,58.66999816894531,59.29999923706055,59.83000183105469,60.09000015258789,61.04999923706055,60.380001068115234,60.630001068115234,61.54999923706055,61.31999969482422,61.150001525878906,61.619998931884766,60.970001220703125,62.09000015258789,64.05000305175781,66.7699966430664,68.73999786376953,68.91999816894531,68.62999725341797,69.37999725341797,69.12000274658203,70.0,69.29000091552734,70.93000030517578,70.8499984741211,67.61000061035156,69.01000213623047,70.44000244140625,70.87000274658203,72.06999969482422,70.16000366210938,69.27999877929688,66.7300033569336,68.54000091552734,69.7699966430664,70.12999725341797,73.33999633789062,71.25,69.4800033569336,71.91999816894531,71.58999633789062,71.12999725341797,70.44000244140625,70.95999908447266,69.08000183105469,69.44999694824219,69.80999755859375,67.5199966430664,67.37000274658203,66.33000183105469,65.27999877929688],\"increasing\":{\"line\":{\"color\":\"#17BECF\"}},\"low\":[31.770000457763672,31.959999084472656,31.260000228881836,31.15999984741211,31.719999313354492,32.349998474121094,33.0,32.459999084472656,32.4900016784668,32.63999938964844,32.95000076293945,33.029998779296875,33.58000183105469,33.869998931884766,33.959999084472656,33.720001220703125,32.970001220703125,32.150001525878906,32.849998474121094,33.290000915527344,32.38999938964844,32.08000183105469,32.45000076293945,33.400001525878906,33.189998626708984,36.41999816894531,36.84000015258789,35.650001525878906,35.529998779296875,36.16999816894531,36.209999084472656,36.58000183105469,36.68000030517578,37.939998626708984,37.959999084472656,38.040000915527344,35.29999923706055,34.88999938964844,34.439998626708984,32.470001220703125,31.510000228881836,35.13999938964844,34.40999984741211,34.77000045776367,34.52000045776367,32.5099983215332,30.6200008392334,33.119998931884766,30.010000228881836,26.700000762939453,26.399999618530273,23.920000076293945,23.18000030517578,20.0,20.65999984741211,23.700000762939453,23.5,24.1299991607666,24.520000457763672,25.6299991607666,24.760000228881836,24.600000381469727,24.399999618530273,23.049999237060547,22.360000610351562,22.75,23.790000915527344,25.309999465942383,25.920000076293945,27.280000686645508,26.239999771118164,27.600000381469727,26.75,25.959999084472656,26.469999313354492,26.110000610351562,25.059999465942383,26.450000762939453,27.729999542236328,27.459999084472656,29.1299991607666,28.56999969482422,29.6200008392334,28.09000015258789,27.190000534057617,27.389999389648438,27.899999618530273,27.549999237060547,27.940000534057617,28.739999771118164,29.329999923706055,29.09000015258789,27.579999923706055,27.1200008392334,28.110000610351562,29.559999465942383,29.329999923706055,30.450000762939453,31.389999389648438,31.780000686645508,33.36000061035156,32.2400016784668,31.31999969482422,30.290000915527344,30.84000015258789,31.610000610351562,32.439998626708984,33.34000015258789,34.470001220703125,35.75,35.15999984741211,34.900001525878906,32.720001220703125,32.470001220703125,32.84000015258789,34.209999084472656,34.099998474121094,33.86000061035156,33.400001525878906,32.95000076293945,32.72999954223633,31.34000015258789,30.81999969482422,28.75,28.229999542236328,29.020000457763672,30.059999465942383,30.399999618530273,31.15999984741211,31.770000457763672,32.72999954223633,34.810001373291016,34.86000061035156,33.7599983215332,33.439998626708984,34.619998931884766,34.0,34.72999954223633,35.79999923706055,37.0,36.25,37.5,37.13999938964844,36.09000015258789,36.40999984741211,36.72999954223633,36.380001068115234,35.970001220703125,35.900001525878906,35.650001525878906,36.40999984741211,36.4900016784668,36.72999954223633,37.310001373291016,36.709999084472656,36.81999969482422,37.369998931884766,37.279998779296875,37.27000045776367,37.7400016784668,38.060001373291016,38.29999923706055,38.70000076293945,39.63999938964844,39.31999969482422,40.0,40.06999969482422,40.41999816894531,40.56999969482422,40.13999938964844,41.36000061035156,40.959999084472656,38.43000030517578,38.099998474121094,38.33000183105469,38.81999969482422,38.5099983215332,38.54999923706055,38.22999954223633,39.189998626708984,38.599998474121094,38.93000030517578,39.220001220703125,40.27000045776367,43.70000076293945,42.65999984741211,42.59000015258789,43.61000061035156,44.290000915527344,43.95000076293945,44.97999954223633,45.43000030517578,46.119998931884766,45.029998779296875,45.7400016784668,45.779998779296875,45.65999984741211,47.40999984741211,46.9900016784668,45.619998931884766,44.29999923706055,45.04999923706055,45.2400016784668,45.459999084472656,48.849998474121094,48.11000061035156,48.939998626708984,48.400001525878906,49.13999938964844,48.25,50.56999969482422,40.83000183105469,38.93000030517578,40.029998779296875,40.810001373291016,42.47999954223633,42.81999969482422,43.11000061035156,41.61000061035156,42.86000061035156,42.68000030517578,42.41999816894531,42.43000030517578,42.36000061035156,42.79999923706055,42.79999923706055,43.45000076293945,44.18000030517578,44.459999084472656,44.849998474121094,46.20000076293945,44.939998626708984,45.810001373291016,45.93000030517578,47.029998779296875,47.66999816894531,47.06999969482422,46.900001525878906,46.91999816894531,46.540000915527344,49.970001220703125,51.79999923706055,51.61000061035156,53.63999938964844,53.939998626708984,54.27000045776367,53.58000183105469,54.369998931884766,54.22999954223633,53.86000061035156,53.93000030517578,53.54999923706055,54.13999938964844,53.7400016784668,53.58000183105469,53.150001525878906,52.56999969482422,51.459999084472656,50.189998626708984,45.150001525878906,46.560001373291016,47.02000045776367,45.43000030517578,45.08000183105469,44.400001525878906,46.18000030517578,46.5,46.79999923706055,47.0,48.02000045776367,47.97999954223633,49.27000045776367,49.880001068115234,51.06999969482422,52.709999084472656,53.70000076293945,54.439998626708984,55.029998779296875,57.380001068115234,58.54999923706055,63.20000076293945,66.58000183105469,68.4000015258789,71.80999755859375,70.12999725341797,70.36000061035156,71.87999725341797,70.41999816894531,66.19000244140625,71.70999908447266,73.88999938964844,75.0,76.05000305175781,73.55999755859375,70.66000366210938,66.0199966430664,61.52000045776367,63.41999816894531,64.5999984741211,64.58999633789062,65.83000183105469,66.63999938964844,67.18000030517578,68.56999969482422,66.95999908447266,66.68000030517578,65.7699966430664,64.3499984741211,64.11000061035156,62.04999923706055,59.56999969482422,59.279998779296875,61.709999084472656,61.900001525878906,63.27000045776367,63.63999938964844,61.810001373291016,64.30000305175781,66.08000183105469,69.27999877929688,69.91000366210938,69.6500015258789,70.7300033569336,69.5,70.16999816894531,69.68000030517578,66.7699966430664,65.22000122070312,64.69999694824219,64.08000183105469,65.43000030517578,65.8499984741211,66.0,63.7400016784668,63.9900016784668,55.04999923706055,52.66999816894531,53.15999984741211,53.31999969482422,52.34000015258789,53.369998931884766,51.619998931884766,49.20000076293945,50.060001373291016,49.119998931884766,50.189998626708984,51.279998779296875,52.41999816894531,51.66999816894531,53.220001220703125,53.939998626708984,54.65999984741211,56.540000915527344,57.310001373291016,57.029998779296875,57.83000183105469,56.27000045776367,56.31999969482422,55.83000183105469,57.31999969482422,57.720001220703125,57.81999969482422,59.40999984741211,58.7400016784668,59.869998931884766,60.45000076293945,60.189998626708984,59.150001525878906,59.529998779296875,59.529998779296875,59.7400016784668,61.90999984741211,63.790000915527344,66.75,67.27999877929688,67.08000183105469,67.93000030517578,68.25,67.37000274658203,68.43000030517578,69.2300033569336,68.70999908447266,66.23999786376953,66.9800033569336,68.80000305175781,69.26000213623047,70.08999633789062,67.41000366210938,66.13999938964844,64.6500015258789,65.81999969482422,67.55000305175781,68.51000213623047,69.87999725341797,67.47000122070312,66.86000061035156,67.76000213623047,69.5,69.5,68.66000366210938,68.08000183105469,67.91000366210938,68.08000183105469,66.87999725341797,66.44999694824219,65.56999969482422,64.62999725341797,64.05999755859375],\"name\":\"twitter\",\"open\":[31.860000610351562,32.310001373291016,31.709999084472656,31.229999542236328,31.799999237060547,32.349998474121094,33.529998779296875,32.86000061035156,32.970001220703125,32.689998626708984,32.9900016784668,33.5,33.81999969482422,34.08000183105469,34.290000915527344,33.9900016784668,34.11000061035156,32.310001373291016,33.060001373291016,33.59000015258789,32.86000061035156,33.11000061035156,32.560001373291016,33.75,34.0,36.529998779296875,37.630001068115234,36.630001068115234,36.119998931884766,36.189998626708984,36.43000030517578,37.0,36.779998779296875,38.09000015258789,38.7599983215332,38.66999816894531,36.5,36.18000030517578,35.279998779296875,33.72999954223633,31.860000610351562,36.0,36.02000045776367,35.7599983215332,35.029998779296875,33.810001373291016,31.809999465942383,33.900001525878906,33.29999923706055,29.079999923706055,28.829999923706055,26.1200008392334,24.3799991607666,22.950000762939453,22.110000610351562,24.969999313354492,23.799999237060547,25.790000915527344,25.850000381469727,26.149999618530273,25.559999465942383,25.25,25.790000915527344,23.700000762939453,23.0,24.100000381469727,24.100000381469727,25.969999313354492,26.790000915527344,28.479999542236328,27.549999237060547,28.0,27.100000381469727,26.860000610351562,27.15999984741211,26.309999465942383,26.389999389648438,27.0,28.43000030517578,27.989999771118164,29.1299991607666,30.399999618530273,30.059999465942383,28.790000915527344,28.0,27.600000381469727,28.670000076293945,28.350000381469727,28.079999923706055,29.09000015258789,29.649999618530273,29.850000381469727,29.239999771118164,27.829999923706055,28.299999237060547,29.700000762939453,29.700000762939453,30.5,32.099998474121094,32.380001068115234,33.599998474121094,33.630001068115234,31.5,31.559999465942383,31.059999465942383,32.189998626708984,32.61000061035156,34.5,34.470001220703125,35.959999084472656,35.9900016784668,36.119998931884766,33.130001068115234,33.939998626708984,32.90999984741211,35.13999938964844,34.4900016784668,34.29999923706055,34.63999938964844,33.56999969482422,33.75,32.529998779296875,31.540000915527344,31.1200008392334,28.510000228881836,29.6299991607666,30.149999618530273,31.299999237060547,31.549999237060547,31.959999084472656,33.20000076293945,35.880001068115234,35.459999084472656,35.720001220703125,33.529998779296875,35.119998931884766,34.130001068115234,35.310001373291016,35.79999923706055,37.790000915527344,36.970001220703125,37.650001525878906,38.279998779296875,37.58000183105469,36.45000076293945,36.970001220703125,36.72999954223633,37.33000183105469,36.40999984741211,35.91999816894531,36.560001373291016,36.849998474121094,37.41999816894531,38.36000061035156,37.59000015258789,37.5,37.43000030517578,37.7400016784668,37.95000076293945,38.279998779296875,38.09000015258789,38.619998931884766,38.9900016784668,39.68000030517578,40.439998626708984,40.54999923706055,40.970001220703125,40.5,40.9900016784668,40.61000061035156,41.52000045776367,42.7400016784668,41.20000076293945,38.52000045776367,38.849998474121094,39.790000915527344,39.2400016784668,39.40999984741211,39.189998626708984,39.38999938964844,38.849998474121094,39.36000061035156,39.43000030517578,40.369998931884766,43.880001068115234,44.689998626708984,43.209999084472656,44.400001525878906,44.349998474121094,44.619998931884766,45.06999969482422,45.540000915527344,46.459999084472656,47.27000045776367,46.06999969482422,46.439998626708984,46.400001525878906,47.61000061035156,48.279998779296875,47.4900016784668,45.060001373291016,46.36000061035156,46.04999923706055,45.54999923706055,48.970001220703125,50.0,50.20000076293945,50.0,49.5,49.599998474121094,51.95000076293945,44.529998779296875,41.150001525878906,40.029998779296875,42.22999954223633,43.5099983215332,43.5099983215332,43.959999084472656,43.36000061035156,42.970001220703125,43.29999923706055,43.25,43.5,42.36000061035156,42.939998626708984,43.119998931884766,43.79999923706055,44.900001525878906,45.130001068115234,44.970001220703125,46.560001373291016,46.52000045776367,46.7599983215332,46.36000061035156,47.16999816894531,47.75,47.54999923706055,47.790000915527344,47.47999954223633,46.70000076293945,50.619998931884766,51.970001220703125,52.02000045776367,54.77000045776367,54.56999969482422,54.93000030517578,54.5,55.0,55.34000015258789,54.52000045776367,55.0,54.5099983215332,54.689998626708984,54.2400016784668,54.4900016784668,53.40999984741211,53.27000045776367,52.220001220703125,52.5,47.09000015258789,48.54999923706055,48.09000015258789,47.65999984741211,46.099998474121094,45.59000015258789,46.22999954223633,47.72999954223633,46.900001525878906,48.439998626708984,48.130001068115234,50.63999938964844,49.4900016784668,51.02000045776367,51.20000076293945,52.869998931884766,54.560001373291016,54.790000915527344,56.02000045776367,57.79999923706055,58.63999938964844,65.80000305175781,67.98999786376953,68.55999755859375,72.19000244140625,73.05000305175781,70.73999786376953,72.97000122070312,71.7300033569336,68.44999694824219,73.0999984741211,78.1500015258789,76.87000274658203,78.36000061035156,76.61000061035156,74.01000213623047,70.61000061035156,67.66999816894531,67.4000015258789,65.72000122070312,69.45999908447266,66.37000274658203,67.72000122070312,68.23999786376953,71.06999969482422,68.31999969482422,69.20999908447266,67.11000061035156,66.88999938964844,65.1500015258789,64.94999694824219,60.20000076293945,61.52000045776367,62.0,62.29999923706055,63.97999954223633,64.68000030517578,64.13999938964844,64.66999816894531,66.63999938964844,69.91000366210938,70.3499984741211,70.87000274658203,71.72000122070312,72.51000213623047,70.55000305175781,71.97000122070312,69.62000274658203,68.01000213623047,65.7300033569336,67.41999816894531,65.72000122070312,66.48999786376953,67.13999938964844,65.55000305175781,67.01000213623047,56.0,55.52000045776367,55.06999969482422,54.95000076293945,53.47999954223633,54.77000045776367,53.0099983215332,49.52000045776367,51.869998931884766,51.68000030517578,50.61000061035156,52.22999954223633,52.599998474121094,52.189998626708984,53.22999954223633,55.0,54.900001525878906,57.349998474121094,57.369998931884766,57.63999938964844,58.20000076293945,58.20000076293945,57.279998779296875,56.959999084472656,57.40999984741211,58.619998931884766,59.790000915527344,59.59000015258789,59.79999923706055,59.95000076293945,60.849998474121094,61.09000015258789,60.119998931884766,59.61000061035156,60.20000076293945,60.849998474121094,61.91999816894531,63.90999984741211,66.75,68.29000091552734,68.16000366210938,68.27999877929688,68.76000213623047,68.56999969482422,68.70999908447266,69.3499984741211,70.62999725341797,67.0,67.06999969482422,69.45999908447266,69.54000091552734,70.41999816894531,70.0999984741211,68.55999755859375,65.23999786376953,66.25,67.58999633789062,68.63999938964844,72.19999694824219,71.25,68.31999969482422,68.38999938964844,69.5,69.83000183105469,70.2300033569336,69.87000274658203,68.68000030517578,68.8499984741211,69.30000305175781,67.5,67.19999694824219,65.79000091552734,64.80999755859375],\"showlegend\":true,\"type\":\"candlestick\",\"x\":[\"2019-12-31\",\"2020-01-02\",\"2020-01-03\",\"2020-01-06\",\"2020-01-07\",\"2020-01-08\",\"2020-01-09\",\"2020-01-10\",\"2020-01-13\",\"2020-01-14\",\"2020-01-15\",\"2020-01-16\",\"2020-01-17\",\"2020-01-21\",\"2020-01-22\",\"2020-01-23\",\"2020-01-24\",\"2020-01-27\",\"2020-01-28\",\"2020-01-29\",\"2020-01-30\",\"2020-01-31\",\"2020-02-03\",\"2020-02-04\",\"2020-02-05\",\"2020-02-06\",\"2020-02-07\",\"2020-02-10\",\"2020-02-11\",\"2020-02-12\",\"2020-02-13\",\"2020-02-14\",\"2020-02-18\",\"2020-02-19\",\"2020-02-20\",\"2020-02-21\",\"2020-02-24\",\"2020-02-25\",\"2020-02-26\",\"2020-02-27\",\"2020-02-28\",\"2020-03-02\",\"2020-03-03\",\"2020-03-04\",\"2020-03-05\",\"2020-03-06\",\"2020-03-09\",\"2020-03-10\",\"2020-03-11\",\"2020-03-12\",\"2020-03-13\",\"2020-03-16\",\"2020-03-17\",\"2020-03-18\",\"2020-03-19\",\"2020-03-20\",\"2020-03-23\",\"2020-03-24\",\"2020-03-25\",\"2020-03-26\",\"2020-03-27\",\"2020-03-30\",\"2020-03-31\",\"2020-04-01\",\"2020-04-02\",\"2020-04-03\",\"2020-04-06\",\"2020-04-07\",\"2020-04-08\",\"2020-04-09\",\"2020-04-13\",\"2020-04-14\",\"2020-04-15\",\"2020-04-16\",\"2020-04-17\",\"2020-04-20\",\"2020-04-21\",\"2020-04-22\",\"2020-04-23\",\"2020-04-24\",\"2020-04-27\",\"2020-04-28\",\"2020-04-29\",\"2020-04-30\",\"2020-05-01\",\"2020-05-04\",\"2020-05-05\",\"2020-05-06\",\"2020-05-07\",\"2020-05-08\",\"2020-05-11\",\"2020-05-12\",\"2020-05-13\",\"2020-05-14\",\"2020-05-15\",\"2020-05-18\",\"2020-05-19\",\"2020-05-20\",\"2020-05-21\",\"2020-05-22\",\"2020-05-26\",\"2020-05-27\",\"2020-05-28\",\"2020-05-29\",\"2020-06-01\",\"2020-06-02\",\"2020-06-03\",\"2020-06-04\",\"2020-06-05\",\"2020-06-08\",\"2020-06-09\",\"2020-06-10\",\"2020-06-11\",\"2020-06-12\",\"2020-06-15\",\"2020-06-16\",\"2020-06-17\",\"2020-06-18\",\"2020-06-19\",\"2020-06-22\",\"2020-06-23\",\"2020-06-24\",\"2020-06-25\",\"2020-06-26\",\"2020-06-29\",\"2020-06-30\",\"2020-07-01\",\"2020-07-02\",\"2020-07-06\",\"2020-07-07\",\"2020-07-08\",\"2020-07-09\",\"2020-07-10\",\"2020-07-13\",\"2020-07-14\",\"2020-07-15\",\"2020-07-16\",\"2020-07-17\",\"2020-07-20\",\"2020-07-21\",\"2020-07-22\",\"2020-07-23\",\"2020-07-24\",\"2020-07-27\",\"2020-07-28\",\"2020-07-29\",\"2020-07-30\",\"2020-07-31\",\"2020-08-03\",\"2020-08-04\",\"2020-08-05\",\"2020-08-06\",\"2020-08-07\",\"2020-08-10\",\"2020-08-11\",\"2020-08-12\",\"2020-08-13\",\"2020-08-14\",\"2020-08-17\",\"2020-08-18\",\"2020-08-19\",\"2020-08-20\",\"2020-08-21\",\"2020-08-24\",\"2020-08-25\",\"2020-08-26\",\"2020-08-27\",\"2020-08-28\",\"2020-08-31\",\"2020-09-01\",\"2020-09-02\",\"2020-09-03\",\"2020-09-04\",\"2020-09-08\",\"2020-09-09\",\"2020-09-10\",\"2020-09-11\",\"2020-09-14\",\"2020-09-15\",\"2020-09-16\",\"2020-09-17\",\"2020-09-18\",\"2020-09-21\",\"2020-09-22\",\"2020-09-23\",\"2020-09-24\",\"2020-09-25\",\"2020-09-28\",\"2020-09-29\",\"2020-09-30\",\"2020-10-01\",\"2020-10-02\",\"2020-10-05\",\"2020-10-06\",\"2020-10-07\",\"2020-10-08\",\"2020-10-09\",\"2020-10-12\",\"2020-10-13\",\"2020-10-14\",\"2020-10-15\",\"2020-10-16\",\"2020-10-19\",\"2020-10-20\",\"2020-10-21\",\"2020-10-22\",\"2020-10-23\",\"2020-10-26\",\"2020-10-27\",\"2020-10-28\",\"2020-10-29\",\"2020-10-30\",\"2020-11-02\",\"2020-11-03\",\"2020-11-04\",\"2020-11-05\",\"2020-11-06\",\"2020-11-09\",\"2020-11-10\",\"2020-11-11\",\"2020-11-12\",\"2020-11-13\",\"2020-11-16\",\"2020-11-17\",\"2020-11-18\",\"2020-11-19\",\"2020-11-20\",\"2020-11-23\",\"2020-11-24\",\"2020-11-25\",\"2020-11-27\",\"2020-11-30\",\"2020-12-01\",\"2020-12-02\",\"2020-12-03\",\"2020-12-04\",\"2020-12-07\",\"2020-12-08\",\"2020-12-09\",\"2020-12-10\",\"2020-12-11\",\"2020-12-14\",\"2020-12-15\",\"2020-12-16\",\"2020-12-17\",\"2020-12-18\",\"2020-12-21\",\"2020-12-22\",\"2020-12-23\",\"2020-12-24\",\"2020-12-28\",\"2020-12-29\",\"2020-12-30\",\"2020-12-31\",\"2021-01-04\",\"2021-01-05\",\"2021-01-06\",\"2021-01-07\",\"2021-01-08\",\"2021-01-11\",\"2021-01-12\",\"2021-01-13\",\"2021-01-14\",\"2021-01-15\",\"2021-01-19\",\"2021-01-20\",\"2021-01-21\",\"2021-01-22\",\"2021-01-25\",\"2021-01-26\",\"2021-01-27\",\"2021-01-28\",\"2021-01-29\",\"2021-02-01\",\"2021-02-02\",\"2021-02-03\",\"2021-02-04\",\"2021-02-05\",\"2021-02-08\",\"2021-02-09\",\"2021-02-10\",\"2021-02-11\",\"2021-02-12\",\"2021-02-16\",\"2021-02-17\",\"2021-02-18\",\"2021-02-19\",\"2021-02-22\",\"2021-02-23\",\"2021-02-24\",\"2021-02-25\",\"2021-02-26\",\"2021-03-01\",\"2021-03-02\",\"2021-03-03\",\"2021-03-04\",\"2021-03-05\",\"2021-03-08\",\"2021-03-09\",\"2021-03-10\",\"2021-03-11\",\"2021-03-12\",\"2021-03-15\",\"2021-03-16\",\"2021-03-17\",\"2021-03-18\",\"2021-03-19\",\"2021-03-22\",\"2021-03-23\",\"2021-03-24\",\"2021-03-25\",\"2021-03-26\",\"2021-03-29\",\"2021-03-30\",\"2021-03-31\",\"2021-04-01\",\"2021-04-05\",\"2021-04-06\",\"2021-04-07\",\"2021-04-08\",\"2021-04-09\",\"2021-04-12\",\"2021-04-13\",\"2021-04-14\",\"2021-04-15\",\"2021-04-16\",\"2021-04-19\",\"2021-04-20\",\"2021-04-21\",\"2021-04-22\",\"2021-04-23\",\"2021-04-26\",\"2021-04-27\",\"2021-04-28\",\"2021-04-29\",\"2021-04-30\",\"2021-05-03\",\"2021-05-04\",\"2021-05-05\",\"2021-05-06\",\"2021-05-07\",\"2021-05-10\",\"2021-05-11\",\"2021-05-12\",\"2021-05-13\",\"2021-05-14\",\"2021-05-17\",\"2021-05-18\",\"2021-05-19\",\"2021-05-20\",\"2021-05-21\",\"2021-05-24\",\"2021-05-25\",\"2021-05-26\",\"2021-05-27\",\"2021-05-28\",\"2021-06-01\",\"2021-06-02\",\"2021-06-03\",\"2021-06-04\",\"2021-06-07\",\"2021-06-08\",\"2021-06-09\",\"2021-06-10\",\"2021-06-11\",\"2021-06-14\",\"2021-06-15\",\"2021-06-16\",\"2021-06-17\",\"2021-06-18\",\"2021-06-21\",\"2021-06-22\",\"2021-06-23\",\"2021-06-24\",\"2021-06-25\",\"2021-06-28\",\"2021-06-29\",\"2021-06-30\",\"2021-07-01\",\"2021-07-02\",\"2021-07-06\",\"2021-07-07\",\"2021-07-08\",\"2021-07-09\",\"2021-07-12\",\"2021-07-13\",\"2021-07-14\",\"2021-07-15\",\"2021-07-16\",\"2021-07-19\",\"2021-07-20\",\"2021-07-21\",\"2021-07-22\",\"2021-07-23\",\"2021-07-26\",\"2021-07-27\",\"2021-07-28\",\"2021-07-29\",\"2021-07-30\",\"2021-08-02\",\"2021-08-03\",\"2021-08-04\",\"2021-08-05\",\"2021-08-06\",\"2021-08-09\",\"2021-08-10\",\"2021-08-11\",\"2021-08-12\"],\"yaxis\":\"y2\"}],                        {\"legend\":{\"bgcolor\":\"#F5F6F9\",\"font\":{\"color\":\"#4D5663\"},\"orientation\":\"h\",\"x\":0.3,\"y\":0.95,\"yanchor\":\"bottom\"},\"margin\":{\"b\":30,\"l\":30,\"r\":30,\"t\":30},\"paper_bgcolor\":\"#F5F6F9\",\"plot_bgcolor\":\"#F5F6F9\",\"showlegend\":true,\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"Twitter Stock Price\"},\"xaxis\":{\"anchor\":\"y2\",\"gridcolor\":\"#E1E5ED\",\"rangeselector\":{\"bgcolor\":\"rgba(150, 200, 250, 1)\",\"buttons\":[{\"count\":1,\"label\":\"1m\",\"step\":\"month\",\"stepmode\":\"backward\"},{\"count\":1,\"label\":\"1y\",\"step\":\"year\",\"stepmode\":\"backward\"}],\"font\":{\"size\":13},\"visible\":false,\"x\":0,\"y\":0.9},\"rangeslider\":{\"visible\":false},\"showgrid\":true,\"tickfont\":{\"color\":\"#4D5663\"},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"\"},\"zerolinecolor\":\"#E1E5ED\"},\"yaxis\":{\"gridcolor\":\"#E1E5ED\",\"showgrid\":true,\"showticklabels\":false,\"tickfont\":{\"color\":\"#4D5663\"},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"\"},\"zerolinecolor\":\"#E1E5ED\"},\"yaxis2\":{\"domain\":[0.23,0.9],\"gridcolor\":\"#E1E5ED\",\"showgrid\":true,\"tickfont\":{\"color\":\"#4D5663\"},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"\"},\"zerolinecolor\":\"#E1E5ED\"},\"yaxis3\":{\"domain\":[0.0,0.15],\"gridcolor\":\"#E1E5ED\",\"showgrid\":true,\"tickfont\":{\"color\":\"#4D5663\"},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"\"},\"zerolinecolor\":\"#E1E5ED\"}},                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('4852192b-e5af-4e4e-bd97-709948969fb8');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotly 활성화 하기\n",
    "import cufflinks as cf\n",
    "from plotly.offline import iplot, init_notebook_mode\n",
    "cf.set_config_file(world_readable=True, theme='pearl', offline=True) # set up settings (run it once)\n",
    "init_notebook_mode()\n",
    "\n",
    "# 수집한 데이터를 활용하여 그림 그리기 (1.캔들차트, 2.거래량, 3,4.이동평균 곡선)\n",
    "# SMA : 단순 이동 평균 (Simple Moving Average)\n",
    "# EMA : 지수 이동 평균 (Exponential Moving Average)\n",
    "qf = cf.QuantFig(df_twiter, title='Twitter Stock Price', legend='top', name='twitter')\n",
    "qf.add_sma(periods=20, column='Close', color='red')\n",
    "qf.add_ema(periods=20, color='green')\n",
    "qf.add_volume()\n",
    "qf.iplot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "future-stress",
   "metadata": {
    "tags": []
   },
   "source": [
    "<br/>\n",
    "\n",
    "## **2 Back Testing 시작하기**\n",
    "- **[BackTesting with PANDAS](https://towardsdatascience.com/backtest-trading-strategies-with-pandas-vectorized-backtesting-26001b0ba3a5)**\n",
    "- **[다중 데이터 BackTesting](https://jsp-dev.tistory.com/104)**\n",
    "- **[matplotlib Warning Error Fix](https://community.backtrader.com/topic/981/importerror-cannot-import-name-min_per_hour-when-trying-to-plot/8)**\n",
    "- 단순 이동평균 전략등 다양한 전략을 간편하게 Simulation 가능\n",
    "- 보조적인 기술적 지표를 활용한 매매분석에 용이\n",
    "\n",
    "### **01 Loading the DataSet**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ddfc57e2-8976-4be1-9030-3422ad8b931c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-12-31</th>\n",
       "      <td>31.860001</td>\n",
       "      <td>32.320000</td>\n",
       "      <td>31.770000</td>\n",
       "      <td>32.049999</td>\n",
       "      <td>32.049999</td>\n",
       "      <td>11050600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>32.310001</td>\n",
       "      <td>32.500000</td>\n",
       "      <td>31.959999</td>\n",
       "      <td>32.299999</td>\n",
       "      <td>32.299999</td>\n",
       "      <td>10721100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>31.709999</td>\n",
       "      <td>32.099998</td>\n",
       "      <td>31.260000</td>\n",
       "      <td>31.520000</td>\n",
       "      <td>31.520000</td>\n",
       "      <td>14429500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close  Adj Close    Volume\n",
       "Date                                                                       \n",
       "2019-12-31  31.860001  32.320000  31.770000  32.049999  32.049999  11050600\n",
       "2020-01-02  32.310001  32.500000  31.959999  32.299999  32.299999  10721100\n",
       "2020-01-03  31.709999  32.099998  31.260000  31.520000  31.520000  14429500"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATA_FILENAME = 'data/stock-apple.pkl'\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "try:\n",
    "    data_csv = pd.read_pickle(DATA_FILENAME)\n",
    "except FileNotFoundError:\n",
    "    data_csv = yf.download('TWTR', start='2020-01-01', end='2022-12-31', progress=False)\n",
    "    data_csv.to_pickle(DATA_FILENAME)\n",
    "data_csv.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77869309-3608-4017-a2d6-1ee3a7461a24",
   "metadata": {
    "tags": []
   },
   "source": [
    "### **02 Converting The Price DataSet**\n",
    "loading from CSV to **<span style=\"color:red;\">Pandas DataFrame<span>** of the BackTrader DataSet.\n",
    "- https://www.backtrader.com/docu/datafeed/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1adf8e45-73c3-49b3-9bd9-2fff7e3d11b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "backtrader.feeds.pandafeed.PandasData"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Back Trading 전략에 DataFrame 데이터로 Simulation 합니다.\n",
    "import backtrader as bt\n",
    "data_stock = bt.feeds.PandasData(dataname = data_csv)\n",
    "type(data_stock)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "131dfece-6f2a-471b-9fa0-7137452acd8c",
   "metadata": {
    "tags": []
   },
   "source": [
    "<br/>\n",
    "\n",
    "## **3 1개 기준선을 활용한 Back Testing 1**\n",
    "- 종가가 20일 SMA 보다 높으면 매수를 한다\n",
    "- 종가가 20일 SMA 보다 낮으면 보유한 주식을 매도한다\n",
    "- 주식 매매는 1주만 허용 된다\n",
    "\n",
    "### **01 Strategy SIGNAL Class**\n",
    "- **SMA Signal's Class** 를 정의하고, BackTesting 진행한다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "absolute-halloween",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Signal Class 를 정의합니다.\n",
    "# => 20일 이동평균선 전략을 정의 합니다.\n",
    "class SmaSignal(bt.Signal):\n",
    "    params = (('period', 20), )\n",
    "    \n",
    "    def __init__(self):\n",
    "        self.lines.signal = self.data - bt.ind.SMA(period=self.p.period)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "tight-produce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Portfolio Value : 1000.00\n",
      "Final Portfolio Value: 1035.30\n"
     ]
    }
   ],
   "source": [
    "# Back Testing 을 설정에 추가합니다\n",
    "cerebro = bt.Cerebro(stdstats=False)\n",
    "cerebro.adddata(data_stock) # Add the data feed \n",
    "cerebro.broker.setcash(1000.0)\n",
    "cerebro.add_signal(bt.SIGNAL_LONG, SmaSignal)\n",
    "cerebro.addobserver(bt.observers.BuySell)\n",
    "cerebro.addobserver(bt.observers.Value)\n",
    "\n",
    "# Back Testing 실행 결과를 계산 합니다.\n",
    "print(f'Starting Portfolio Value : {cerebro.broker.getvalue():.2f}')\n",
    "cerebro.run()\n",
    "print(f'Final Portfolio Value: {cerebro.broker.getvalue():.2f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "likely-orientation",
   "metadata": {
    "tags": []
   },
   "source": [
    "### **02 Visualization**\n",
    "- **[matplotlib Warning Error Fix](https://community.backtrader.com/topic/981/importerror-cannot-import-name-min_per_hour-when-trying-to-plot/8)**\n",
    "- **[matplotlib Warning Error Fix2](https://community.backtrader.com/topic/2881/cannot-import-name-warnings-from-matplotlib-dates)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "administrative-territory",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1600x480 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 462,
       "width": 1486
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.dpi'] = 80\n",
    "plt.rcParams['figure.figsize'] = [20, 6]\n",
    "cerebro.plot(iplot=False, volume=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7d2eae9-d44e-4197-9d8f-cf18d7a773d4",
   "metadata": {
    "tags": []
   },
   "source": [
    "<br/>\n",
    "\n",
    "## **4 2개의 이동평균을 활용한 Back Testing**\n",
    "- 단기 (10일) SMA 가 장기(30일) 보다 높아질 때 매수한다\n",
    "- 장기 (30일) SMA 가 단기(10일) 보다 높아질 때 매도한다\n",
    "\n",
    "### **01 Strategy SIGNAL Class**\n",
    "- **SMA Signal's Class** 를 정의하고, BackTesting 진행한다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f7e51da4-8de8-4cde-8609-39caabbf288a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import backtrader as bt\n",
    "\n",
    "# 이동평균선 전략을 정의 합니다.\n",
    "class SmaCross(bt.Strategy): \n",
    "    params = dict(\n",
    "        pfast=10, # fast moving average \n",
    "        pslow=30) # slow moving average \n",
    "    \n",
    "    def __init__(self):\n",
    "        sma1 = bt.ind.SMA(period=self.p.pfast)\n",
    "        sma2 = bt.ind.SMA(period=self.p.pslow)\n",
    "        self.crossover = bt.ind.CrossOver(sma1, sma2) # crossover signal \n",
    "        \n",
    "    def next(self): \n",
    "        if not self.position:      # not in the market \n",
    "            if self.crossover > 0: # if fast crosses slow to the upside \n",
    "                self.buy()         # enter long (매수 진행한다)\n",
    "                \n",
    "        elif self.crossover < 0: # in the market & cross to the downside \n",
    "            self.close()         # close long position (보유시 매도를 진행한다)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d546c1a1-4c2e-4145-a8cf-7109a273af66",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Portfolio Value : 10000.00\n",
      "Final Portfolio Value: 10010.79\n"
     ]
    }
   ],
   "source": [
    "# 위 Back Trading 전략에 DataFrame 데이터로 Simulation 합니다.\n",
    "cerebro = bt.Cerebro()        # create a \"Cerebro\" engine instance \n",
    "cerebro.adddata(data_stock)   # Add the data feed \n",
    "cerebro.addstrategy(SmaCross) # Add the trading strategy\n",
    "\n",
    "# backtest 를 실행한다.\n",
    "print(f'Starting Portfolio Value : {cerebro.broker.getvalue():.2f}')\n",
    "cerebro.run() # run it all \n",
    "print(f'Final Portfolio Value: {cerebro.broker.getvalue():.2f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff219df9-8c64-44ae-98ba-7d6cf3662dc9",
   "metadata": {
    "tags": []
   },
   "source": [
    "### **02 Visualization**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d9c7a3b9-0fb0-41f9-91f5-ab8a91a53350",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 6000x1800 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1746,
       "width": 5593
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.dpi'] = 300\n",
    "plt.rcParams['figure.figsize'] = [20, 6]\n",
    "cerebro.plot(iplot=False, volume=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59edbff1-69fa-4232-9590-49c2621b8116",
   "metadata": {
    "tags": []
   },
   "source": [
    "<br/>\n",
    "\n",
    "## **5 1개 기준선을 활용한 Back Testing2**\n",
    "- 종가가 20일 SMA 보다 높으면 매수를 한다\n",
    "- 종가가 20일 SMA 보다 낮으면 보유한 주식을 매도한다\n",
    "- 주식 매매는 1주만 허용 된다\n",
    "\n",
    "### **01 Strategy SIGNAL Class**\n",
    "- **SMA Signal's Class** 를 정의하고, BackTesting 진행한다\n",
    "- 매수, 매도 실행시 세부조건을 설정한다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "57ce4c98-fd8b-4fa0-baf3-b2bc7d271c47",
   "metadata": {},
   "outputs": [],
   "source": [
    "class SmaStrategy(bt.Strategy):\n",
    "    params = (('ma_period', 20), )\n",
    "\n",
    "    def __init__(self):\n",
    "        # keep track of pending orders/buy price/buy commission\n",
    "        self.data_close = self.datas[0].close  # Series 에서 close 추출\n",
    "        self.order = None\n",
    "        self.price = None\n",
    "        self.comm = None\n",
    "        self.sma = bt.ind.SMA( # add a simple moving average indicator\n",
    "            self.datas[0], period=self.params.ma_period)\n",
    "        \n",
    "    def log(self, txt):\n",
    "        dt = self.datas[0].datetime.date(0).isoformat()\n",
    "        print(f'{dt}, {txt}')\n",
    "\n",
    "    def notify_order(self, order):\n",
    "        if order.status in [order.Submitted, order.Accepted]:\n",
    "            # order already submitted/accepted - no action required\n",
    "            return\n",
    "\n",
    "        # report executed order\n",
    "        if order.status in [order.Completed]:\n",
    "            if order.isbuy():\n",
    "                self.log(f'BUY EXECUTED --- Price: {order.executed.price:.2f}, Cost: {order.executed.value:.2f}, Commission: {order.executed.comm:.2f}')\n",
    "                self.price = order.executed.price\n",
    "                self.comm = order.executed.comm\n",
    "            else:\n",
    "                self.log(f'SELL EXECUTED --- Price: {order.executed.price:.2f}, Cost: {order.executed.value:.2f}, Commission: {order.executed.comm:.2f}')\n",
    "\n",
    "        # report failed order\n",
    "        elif order.status in [\n",
    "            order.Canceled, order.Margin, order.Rejected]:\n",
    "            self.log('Order Failed')\n",
    "\n",
    "        # set no pending order\n",
    "        self.order = None\n",
    "\n",
    "    def notify_trade(self, trade):\n",
    "        if not trade.isclosed:\n",
    "            return\n",
    "\n",
    "        self.log(f'OPERATION RESULT --- Gross: {trade.pnl:.2f}, Net: {trade.pnlcomm:.2f}')\n",
    "\n",
    "    def next(self):\n",
    "        # do nothing if an order is pending\n",
    "        if self.order:\n",
    "            return\n",
    "\n",
    "        # check if there is already a position\n",
    "        if not self.position:\n",
    "            # buy condition\n",
    "            if self.data_close[0] > self.sma[0]:\n",
    "                self.log(f'BUY CREATED --- Price: {self.data_close[0]:.2f}')\n",
    "                self.order = self.buy()\n",
    "        else:\n",
    "            # sell condition\n",
    "            if self.data_close[0] < self.sma[0]:            \n",
    "                self.log(f'SELL CREATED --- Price: {self.data_close[0]:.2f}')\n",
    "                self.order = self.sell()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ffad44a4-5869-4744-b07d-3629c733d17d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Portfolio Value: 1000.00\n",
      "2020-01-29, BUY CREATED --- Price: 33.63\n",
      "2020-01-30, BUY EXECUTED --- Price: 32.86, Cost: 32.86, Commission: 0.00\n",
      "2020-01-31, SELL CREATED --- Price: 32.48\n",
      "2020-02-03, SELL EXECUTED --- Price: 32.56, Cost: 32.86, Commission: 0.00\n",
      "2020-02-03, OPERATION RESULT --- Gross: -0.30, Net: -0.30\n",
      "2020-02-04, BUY CREATED --- Price: 33.96\n",
      "2020-02-05, BUY EXECUTED --- Price: 34.00, Cost: 34.00, Commission: 0.00\n",
      "2020-02-25, SELL CREATED --- Price: 35.21\n",
      "2020-02-26, SELL EXECUTED --- Price: 35.28, Cost: 34.00, Commission: 0.00\n",
      "2020-02-26, OPERATION RESULT --- Gross: 1.28, Net: 1.28\n",
      "2020-04-07, BUY CREATED --- Price: 25.61\n",
      "2020-04-08, BUY EXECUTED --- Price: 26.79, Cost: 26.79, Commission: 0.00\n",
      "2020-04-21, SELL CREATED --- Price: 25.75\n",
      "2020-04-22, SELL EXECUTED --- Price: 27.00, Cost: 26.79, Commission: 0.00\n",
      "2020-04-22, OPERATION RESULT --- Gross: 0.21, Net: 0.21\n",
      "2020-04-22, BUY CREATED --- Price: 28.44\n",
      "2020-04-23, BUY EXECUTED --- Price: 28.43, Cost: 28.43, Commission: 0.00\n",
      "2020-05-06, SELL CREATED --- Price: 27.68\n",
      "2020-05-07, SELL EXECUTED --- Price: 28.08, Cost: 28.43, Commission: 0.00\n",
      "2020-05-07, OPERATION RESULT --- Gross: -0.35, Net: -0.35\n",
      "2020-05-07, BUY CREATED --- Price: 28.77\n",
      "2020-05-08, BUY EXECUTED --- Price: 29.09, Cost: 29.09, Commission: 0.00\n",
      "2020-05-13, SELL CREATED --- Price: 28.13\n",
      "2020-05-14, SELL EXECUTED --- Price: 27.83, Cost: 29.09, Commission: 0.00\n",
      "2020-05-14, OPERATION RESULT --- Gross: -1.26, Net: -1.26\n",
      "2020-05-14, BUY CREATED --- Price: 28.56\n",
      "2020-05-15, BUY EXECUTED --- Price: 28.30, Cost: 28.30, Commission: 0.00\n",
      "2020-06-19, SELL CREATED --- Price: 33.41\n",
      "2020-06-22, SELL EXECUTED --- Price: 33.57, Cost: 28.30, Commission: 0.00\n",
      "2020-06-22, OPERATION RESULT --- Gross: 5.27, Net: 5.27\n",
      "2020-07-07, BUY CREATED --- Price: 32.99\n",
      "2020-07-08, BUY EXECUTED --- Price: 33.20, Cost: 33.20, Commission: 0.00\n",
      "2020-09-08, SELL CREATED --- Price: 38.19\n",
      "2020-09-09, SELL EXECUTED --- Price: 38.85, Cost: 33.20, Commission: 0.00\n",
      "2020-09-09, OPERATION RESULT --- Gross: 5.65, Net: 5.65\n",
      "2020-09-18, BUY CREATED --- Price: 40.15\n",
      "2020-09-21, BUY EXECUTED --- Price: 39.43, Cost: 39.43, Commission: 0.00\n",
      "2020-09-21, SELL CREATED --- Price: 39.90\n",
      "2020-09-22, SELL EXECUTED --- Price: 40.37, Cost: 39.43, Commission: 0.00\n",
      "2020-09-22, OPERATION RESULT --- Gross: 0.94, Net: 0.94\n",
      "2020-09-22, BUY CREATED --- Price: 42.73\n",
      "2020-09-23, BUY EXECUTED --- Price: 43.88, Cost: 43.88, Commission: 0.00\n",
      "2020-10-30, SELL CREATED --- Price: 41.36\n",
      "2020-11-02, SELL EXECUTED --- Price: 41.15, Cost: 43.88, Commission: 0.00\n",
      "2020-11-02, OPERATION RESULT --- Gross: -2.73, Net: -2.73\n",
      "2020-11-20, BUY CREATED --- Price: 44.68\n",
      "2020-11-23, BUY EXECUTED --- Price: 44.90, Cost: 44.90, Commission: 0.00\n",
      "2021-01-07, SELL CREATED --- Price: 52.33\n",
      "2021-01-08, SELL EXECUTED --- Price: 52.50, Cost: 44.90, Commission: 0.00\n",
      "2021-01-08, OPERATION RESULT --- Gross: 7.60, Net: 7.60\n",
      "2021-01-28, BUY CREATED --- Price: 51.57\n",
      "2021-01-29, BUY EXECUTED --- Price: 51.02, Cost: 51.02, Commission: 0.00\n",
      "2021-03-04, SELL CREATED --- Price: 66.75\n",
      "2021-03-05, SELL EXECUTED --- Price: 67.67, Cost: 51.02, Commission: 0.00\n",
      "2021-03-05, OPERATION RESULT --- Gross: 16.65, Net: 16.65\n",
      "2021-04-06, BUY CREATED --- Price: 67.00\n",
      "2021-04-07, BUY EXECUTED --- Price: 66.64, Cost: 66.64, Commission: 0.00\n",
      "2021-04-20, SELL CREATED --- Price: 65.70\n",
      "2021-04-21, SELL EXECUTED --- Price: 65.73, Cost: 66.64, Commission: 0.00\n",
      "2021-04-21, OPERATION RESULT --- Gross: -0.91, Net: -0.91\n",
      "2021-04-21, BUY CREATED --- Price: 67.33\n",
      "2021-04-22, BUY EXECUTED --- Price: 67.42, Cost: 67.42, Commission: 0.00\n",
      "2021-04-22, SELL CREATED --- Price: 64.31\n",
      "2021-04-23, SELL EXECUTED --- Price: 65.72, Cost: 67.42, Commission: 0.00\n",
      "2021-04-23, OPERATION RESULT --- Gross: -1.70, Net: -1.70\n",
      "2021-05-24, BUY CREATED --- Price: 57.06\n",
      "2021-05-25, BUY EXECUTED --- Price: 57.35, Cost: 57.35, Commission: 0.00\n",
      "2021-07-16, SELL CREATED --- Price: 66.41\n",
      "2021-07-19, SELL EXECUTED --- Price: 65.24, Cost: 57.35, Commission: 0.00\n",
      "2021-07-19, OPERATION RESULT --- Gross: 7.89, Net: 7.89\n",
      "2021-07-21, BUY CREATED --- Price: 69.54\n",
      "2021-07-22, BUY EXECUTED --- Price: 68.64, Cost: 68.64, Commission: 0.00\n",
      "2021-07-26, SELL CREATED --- Price: 68.69\n",
      "2021-07-27, SELL EXECUTED --- Price: 68.32, Cost: 68.64, Commission: 0.00\n",
      "2021-07-27, OPERATION RESULT --- Gross: -0.32, Net: -0.32\n",
      "2021-07-28, BUY CREATED --- Price: 69.96\n",
      "2021-07-29, BUY EXECUTED --- Price: 69.50, Cost: 69.50, Commission: 0.00\n",
      "2021-08-03, SELL CREATED --- Price: 68.63\n",
      "2021-08-04, SELL EXECUTED --- Price: 68.68, Cost: 69.50, Commission: 0.00\n",
      "2021-08-04, OPERATION RESULT --- Gross: -0.82, Net: -0.82\n",
      "2021-08-05, BUY CREATED --- Price: 69.28\n",
      "2021-08-06, BUY EXECUTED --- Price: 69.30, Cost: 69.30, Commission: 0.00\n",
      "2021-08-06, SELL CREATED --- Price: 67.37\n",
      "2021-08-09, SELL EXECUTED --- Price: 67.50, Cost: 69.30, Commission: 0.00\n",
      "2021-08-09, OPERATION RESULT --- Gross: -1.80, Net: -1.80\n",
      "Final Portfolio Value: 1035.30\n"
     ]
    }
   ],
   "source": [
    "cerebro = bt.Cerebro(stdstats = False)\n",
    "cerebro.adddata(data_stock) # Add the data feed \n",
    "cerebro.broker.setcash(1000.0)\n",
    "cerebro.addstrategy(SmaStrategy)\n",
    "cerebro.addobserver(bt.observers.BuySell)\n",
    "cerebro.addobserver(bt.observers.Value)\n",
    "\n",
    "print(f'Starting Portfolio Value: {cerebro.broker.getvalue():.2f}')\n",
    "cerebro.run()\n",
    "print(f'Final Portfolio Value: {cerebro.broker.getvalue():.2f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fa613e6-45ce-4e7d-97a5-d83e8da239c4",
   "metadata": {
    "tags": []
   },
   "source": [
    "### **02 Visualization**\n",
    "- https://community.backtrader.com/topic/2881/cannot-import-name-warnings-from-matplotlib-dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c7207246-91ba-41c1-a8b1-0853f76aa945",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 6000x1800 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1734,
       "width": 5572
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cerebro.plot(iplot=False)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}