{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Munging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Load the required packages\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import missingno as msno\n",
    "\n",
    "import re \n",
    "from wordcloud import STOPWORDS, WordCloud\n",
    "\n",
    "%matplotlib inline\n",
    "sns.set_style('darkgrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Load the datasets\n",
    "albums = pd.read_csv(\"Data/albums.csv\")\n",
    "bands = pd.read_csv(\"Data/bands.csv\")\n",
    "reviews = pd.read_csv(\"Data/reviews.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>band</th>\n",
       "      <th>title</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Taste the Hate</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>The Bringer of Death</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Deception| Calculate What You Can't See</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>Inti Huacay</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>Génesis &amp; horror</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  band                                    title  year\n",
       "0   1     1                           Taste the Hate  2014\n",
       "1   2     3                     The Bringer of Death  2014\n",
       "2   3     4  Deception| Calculate What You Can't See  2005\n",
       "3   4     7                              Inti Huacay  1998\n",
       "4   5     7                         Génesis & horror  2002"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(28069, 4)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 28069 entries, 0 to 28068\n",
      "Data columns (total 4 columns):\n",
      "id       28069 non-null int64\n",
      "band     28069 non-null int64\n",
      "title    28069 non-null object\n",
      "year     28069 non-null int64\n",
      "dtypes: int64(3), object(1)\n",
      "memory usage: 877.2+ KB\n",
      "None\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>country</th>\n",
       "      <th>status</th>\n",
       "      <th>formed_in</th>\n",
       "      <th>genre</th>\n",
       "      <th>theme</th>\n",
       "      <th>active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>('M') Inc.</td>\n",
       "      <td>United States</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Death Metal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009-?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(sic)</td>\n",
       "      <td>United States</td>\n",
       "      <td>Split-up</td>\n",
       "      <td>1993.0</td>\n",
       "      <td>Death Metal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1993-1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>.F.O.A.D.</td>\n",
       "      <td>France</td>\n",
       "      <td>Active</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Death Metal</td>\n",
       "      <td>Life and Death</td>\n",
       "      <td>2009-present</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>100 Suns</td>\n",
       "      <td>United States</td>\n",
       "      <td>Active</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>Death Metal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004-present</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>12 Days of Anarchy</td>\n",
       "      <td>United States</td>\n",
       "      <td>Split-up</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>Death Metal</td>\n",
       "      <td>Anarchy</td>\n",
       "      <td>1998-2002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id                name        country    status  formed_in        genre  \\\n",
       "0   1          ('M') Inc.  United States   Unknown     2009.0  Death Metal   \n",
       "1   2               (sic)  United States  Split-up     1993.0  Death Metal   \n",
       "2   3           .F.O.A.D.         France    Active     2009.0  Death Metal   \n",
       "3   4            100 Suns  United States    Active     2004.0  Death Metal   \n",
       "4   5  12 Days of Anarchy  United States  Split-up     1998.0  Death Metal   \n",
       "\n",
       "            theme        active  \n",
       "0             NaN        2009-?  \n",
       "1             NaN     1993-1996  \n",
       "2  Life and Death  2009-present  \n",
       "3             NaN  2004-present  \n",
       "4         Anarchy     1998-2002  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(37723, 8)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 37723 entries, 0 to 37722\n",
      "Data columns (total 8 columns):\n",
      "id           37723 non-null int64\n",
      "name         37723 non-null object\n",
      "country      37723 non-null object\n",
      "status       37723 non-null object\n",
      "formed_in    33392 non-null float64\n",
      "genre        37723 non-null object\n",
      "theme        20179 non-null object\n",
      "active       33796 non-null object\n",
      "dtypes: float64(1), int64(1), object(6)\n",
      "memory usage: 2.3+ MB\n",
      "None\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>album</th>\n",
       "      <th>title</th>\n",
       "      <th>score</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>The Killer Count Just Keeps Rising</td>\n",
       "      <td>0.88</td>\n",
       "      <td>When I first threw this on I really didnt know...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>A gem of heterogeneous death metal...</td>\n",
       "      <td>0.96</td>\n",
       "      <td>Several years ago I bought from a band member|...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Fantasic| if mostly for its influences</td>\n",
       "      <td>0.83</td>\n",
       "      <td>What a wonderful release this is. ‘Vox Fatum’ ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>45</td>\n",
       "      <td>A rare| lost hidden gem</td>\n",
       "      <td>0.80</td>\n",
       "      <td>Picture this: crushing| brutal death metal| wi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>54</td>\n",
       "      <td>Pure| but flayed and covered in soot</td>\n",
       "      <td>0.92</td>\n",
       "      <td>Abhordium's When Depravity Incarnates is an ex...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  album                                   title  score  \\\n",
       "0   1      4      The Killer Count Just Keeps Rising   0.88   \n",
       "1   2      5   A gem of heterogeneous death metal...   0.96   \n",
       "2   3      8  Fantasic| if mostly for its influences   0.83   \n",
       "3   4     45                 A rare| lost hidden gem   0.80   \n",
       "4   5     54    Pure| but flayed and covered in soot   0.92   \n",
       "\n",
       "                                             content  \n",
       "0  When I first threw this on I really didnt know...  \n",
       "1  Several years ago I bought from a band member|...  \n",
       "2  What a wonderful release this is. ‘Vox Fatum’ ...  \n",
       "3  Picture this: crushing| brutal death metal| wi...  \n",
       "4  Abhordium's When Depravity Incarnates is an ex...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21510, 5)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 21510 entries, 0 to 21509\n",
      "Data columns (total 5 columns):\n",
      "id         21510 non-null int64\n",
      "album      21510 non-null int64\n",
      "title      21510 non-null object\n",
      "score      21510 non-null float64\n",
      "content    21510 non-null object\n",
      "dtypes: float64(1), int64(2), object(2)\n",
      "memory usage: 840.3+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# Review the dataframes\n",
    "display(albums.head())\n",
    "print(albums.shape)\n",
    "print(albums.info())\n",
    "\n",
    "display(bands.head())\n",
    "print(bands.shape)\n",
    "print(bands.info())\n",
    "\n",
    "display(reviews.head())\n",
    "print(reviews.shape)\n",
    "print(reviews.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Renaming the dataset columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Album ID</th>\n",
       "      <th>Band ID</th>\n",
       "      <th>Album Title</th>\n",
       "      <th>Year Released</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Taste the Hate</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Album ID  Band ID     Album Title  Year Released\n",
       "0         1        1  Taste the Hate           2014"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Band ID</th>\n",
       "      <th>Band Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>Status</th>\n",
       "      <th>Year Formed</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Lyrical Theme</th>\n",
       "      <th>Years Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>('M') Inc.</td>\n",
       "      <td>United States</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Death Metal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009-?</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Band ID   Band Name        Country   Status  Year Formed        Genre  \\\n",
       "0        1  ('M') Inc.  United States  Unknown       2009.0  Death Metal   \n",
       "\n",
       "  Lyrical Theme Years Active  \n",
       "0           NaN       2009-?  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>Review ID</th>\n",
       "      <th>Album ID</th>\n",
       "      <th>Review Title</th>\n",
       "      <th>Score</th>\n",
       "      <th>Review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>The Killer Count Just Keeps Rising</td>\n",
       "      <td>0.88</td>\n",
       "      <td>When I first threw this on I really didnt know...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Review ID  Album ID                        Review Title  Score  \\\n",
       "0          1         4  The Killer Count Just Keeps Rising   0.88   \n",
       "\n",
       "                                              Review  \n",
       "0  When I first threw this on I really didnt know...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For my own convinience, I renamed the dataframe columns\n",
    "albums.columns = ['Album ID', 'Band ID', 'Album Title', 'Year Released']\n",
    "bands.columns = ['Band ID', 'Band Name', 'Country', 'Status', 'Year Formed', 'Genre', 'Lyrical Theme', 'Years Active']\n",
    "reviews.columns = ['Review ID', 'Album ID', 'Review Title', 'Score', 'Review']\n",
    "\n",
    "display(albums.head(1))\n",
    "display(bands.head(1))\n",
    "display(reviews.head(1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Parsing the Genre Column\n",
    "\n",
    "Many bands fall into multiple genres. As it stands, these multiple genres are concatenated into a long string. We separate the genres and add a new band row for each distinct genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dat = bands['Genre'].copy()\n",
    "dat = dat.map(lambda bracket: re.sub(\"[\\(\\[].*?[\\)\\]]\", \"\", bracket))\n",
    "dat = dat.map(lambda word: word.title())\n",
    "dat = dat.map(lambda word: word.split(\" | \"))\n",
    "bands['Genre'] = dat\n",
    "df = bands[['Genre', 'Band ID']]\n",
    "\n",
    "df.reset_index(inplace=True)\n",
    "rows = []\n",
    "_ = df.apply(lambda row: [rows.append([row['Band ID'], row['Genre'], nn]) \n",
    "                         for nn in row.Genre], axis=1)\n",
    "df = pd.DataFrame(rows, columns=['Band ID', 'x', 'Genre'])\n",
    "bands = bands.drop('Genre', axis=1).merge(df.drop('x', axis=1), how='outer', on='Band ID')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check for missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x29323ca3710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2932c1c2b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2932c4e0e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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wF92G1oHOnbvi6BJuqZgY3e3M2ZW3C8/LI/WRc1MPOT/1kHNTDzk/9ZDzK299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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932383fcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zzz/PvHnzWLVq1d/5OBEREZFCSavUigjA9OnT+fDDDxk0aBChoaG4uLjQp08f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BGNRsPixYsZNGgQ9vb2EjzrkIWFBdXV1UybNg1nZ2f+85//4O7ujkajoVmzZhgMBrRaLWq1mi1b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\nKYQQQgghhBCizkjoFEIIIYQQQghRZ/4PUWXk8m+IjPQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932383fb00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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lS+jfvz8jR44EoGPHjvTs2ZP4+HgmTZpU4D2bN28mOTmZjz/+mFq1agFQu3Zt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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932383fb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(msno.bar(albums, figsize=(15,3)))\n",
    "display(msno.bar(bands, figsize=(15,3)))\n",
    "display(msno.bar(reviews, figsize=(15,3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The albums and reviews datasets contain no missing values, but the bands dataset do. \n",
    "\n",
    "* The \"Lyrical Theme\" column represents the lyrical theme of the band, which will not be examined in the analysis.\n",
    "\n",
    "* The second column with missing values is the \"Year Formed\", representing the year the band was founded. \n",
    "    * This may prove to be problematic and we might have to remove the associated albums & reviews for the particular missing bands\n",
    "    * The data is also stored as a float due to the presence of NaN/missing values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let the Analysis Begin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of albums over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rFEIIIUqNoihERk5g+vQp9O3bn8WLV1CtWjW1w7I4hsxMPn+hL9lpqfisicXR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\nUhvX8AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x29324669550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_albums_by_year = albums[['Album ID', 'Year Released']].groupby('Year Released').count().cumsum()\n",
    "total_albums_by_year['Year'] = total_albums_by_year.index\n",
    "\n",
    "total_bands_by_year = bands[['Band ID', 'Year Formed']].drop_duplicates(['Band ID']).groupby('Year Formed').count().cumsum()\n",
    "total_bands_by_year['Year'] = total_bands_by_year.index.astype(int)\n",
    "\n",
    "bands_albums_total = total_bands_by_year.merge(total_albums_by_year, how='outer')\n",
    "bands_albums_total.columns = ['Bands', 'Year', 'Albums']\n",
    "bands_albums_total.fillna(0, inplace=True)\n",
    "bands_albums_total.drop(bands_albums_total.index[-1], inplace=True)\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot('Year', 'Bands', data=bands_albums_total, linestyle='-', marker='o', color='black')\n",
    "plt.plot('Year', 'Albums', data=bands_albums_total, linestyle='-', marker='o', color='darkred')\n",
    "plt.legend(labels = ['Bands', 'Albums'], fontsize=13, loc=\"upper left\", frameon=True)\n",
    "plt.xlabel('Year', fontsize=14)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, there are more bands than albums. Somewhat unintuitive since bands usually release several albums."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of album releases each year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hodStWw8LC/m9/HG+vn7YPDE0BZCYmMipUyfyfN+LO0I4PHwQJV+vQ+vgHVg5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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x293246d1ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yearly_albums_by_year = albums[['Album ID', 'Year Released']].groupby('Year Released').count()\n",
    "yearly_albums_by_year['Year'] = total_albums_by_year.index\n",
    "\n",
    "yearly_bands_by_year = bands[['Band ID', 'Year Formed']].drop_duplicates(['Band ID']).groupby('Year Formed').count()\n",
    "yearly_bands_by_year['Year'] = total_bands_by_year.index.astype(int)\n",
    "\n",
    "bands_albums_by_year = yearly_bands_by_year.merge(yearly_albums_by_year, how='outer')\n",
    "bands_albums_by_year.columns = ['Bands', 'Year', 'Albums']\n",
    "bands_albums_by_year.fillna(0, inplace=True)\n",
    "bands_albums_by_year.drop(bands_albums_by_year.index[-1], inplace=True)\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot('Year', 'Bands', data=bands_albums_by_year, linestyle='-', marker='o', color='black')\n",
    "plt.plot('Year', 'Albums', data=bands_albums_by_year, linestyle='-', marker='o', color='darkred')\n",
    "plt.legend(labels = ['Bands', 'Albums'], fontsize=13, loc=\"upper left\", frameon=True)\n",
    "plt.xlabel('Year', fontsize=14)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As production and distribution gets cheaper over the years, record labels are less likely to sign more bands but pump out more albums from the select few bands"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Many Faces of Metal\n",
    "\n",
    "Let's examine the different sub-genres in the metal umbrella"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Hn7gyZMiQckXyyJEjFYrk9u3b0bNnT0yYMAHu7u4YPnw4Jk6ciK1bt8Le3h4uLi6Qy+Vw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Czs4O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\nBkkiIiIikuQfIN78L/N+7XsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932c63ed68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_counts = bands['Genre'].value_counts()\n",
    "genre_percent = bands['Genre'].value_counts()/(bands['Genre'].count())*100\n",
    "genre_cumsum_percent = genre_percent.cumsum()\n",
    "genre_df = pd.concat([genre_counts, genre_percent, genre_cumsum_percent], axis=1)\n",
    "genre_df.columns=['Counts', \"Percent\", \"Cumulative Percent\"]\n",
    "\n",
    "genre_subsets = genre_df.head(7)\n",
    "Other = [(sum(bands['Genre'].value_counts())-sum(genre_subsets['Counts'])),\n",
    "                      (100-sum(genre_subsets['Percent'])), 100.]\n",
    "Other = pd.DataFrame([Other], columns=['Counts', \"Percent\", \"Cumulative Percent\"], index=['Other'])\n",
    "genre_subsets = genre_subsets.append(Other)\n",
    "\n",
    "sns.set_palette(\"bone\")\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.rcParams['font.size'] = 14\n",
    "my_circle=plt.Circle( (0,0), 0.4, color='white')\n",
    "plt.pie(genre_subsets['Counts'], labels=genre_subsets.index, startangle=90)\n",
    "p=plt.gcf()\n",
    "p.gca().add_artist(my_circle)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apparently there is a difference between \"Death/Thrash Metal\" and \"Thrash/Death Metal\"... and apparently the former is more popular than the latter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of Albums per genre per year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qtgd14SqRVMrdHqh6TMTGJmd7PDr6Kn5+FQo4zT80GjU2mzz/VdgVRD87+3tZ\nZPDxMZCQkOLsGKIASF8XHdLXRYMz+1n351681z1P2hNBJHVcCapHaIKd3Yb3+hBcbmTd99muMWBu\n/B7mem86Zfrpg3rQvnb5Yz3em18hufVcUmu/mg/J8l+pUtlvCfcIfccJIYQQQghReKiTr+O19VVs\nXpVIDvzi0Sr2ANQaNAm/ZXtKcStGSuMRj1Wx9zDSKnXG6tsEw+EpYC1cvwR6xL7rhBBCCCGEKATS\nzXht7g3pFpI6rkTRezs7UbbUxhs5HI8s4CROplJhajYBjSkSt9MLnZ0mT0nBJ4QQQgghRF5SFDx3\nDUMXe5zkoMXYilV3dqIc2T2y31Ihp+OFmdU/AEuF9hiOfoIqNd7ZcfKMFHxCCCGEEELkIbdT83G9\nsBJT01GkVerg7Dh3ZWo2DkXrlumYonXD1GyckxI5l6nZeFRpSRiOfersKHlGCj4hhBBCCCHyiO7G\nz7jvG42lUmdSGo9wdpx7slTvSXLrOdg8yqOgwuZRnuTWc7BU7+nsaE5hK1EHS82XcTu1AHVy9tNd\nHzeFa81RIYQQQgghnESddA2vrX2x+VQlOXDBo7dISw4s1XsW2QIvO6amo9FfWo3h8BSMbec5O85D\nk4JPCCGEEEKIB6S/uAr3AxMyFj9Ra1FUWpJe+AbFxcvZ0cQDsnuWx1zvTdxOfo654TvYStR2dqSH\n8nj82kE8tKSkREwmo1MzREb+6dT2hRBCCCHykv7iKjx/GozGeB0VCiq7FRU2tDePOzuaeEgpT72H\novPE/eAEZ0d5aLkq+H788Ufi4wvPSjWPooCAxrRt25ygoBYEBgbQtWt7pk2bTFJSUp7c/+WXQ4iJ\niQYgPHwhY8bkbk55ePhCAgIas2jR/Cznvv12OQEBjdm0af0973Px4q8MGvR6rtvMbT4hhBBCCGdx\nPzABVbo50zGVLQ33A49/kVDUKa4lSGn0Lvorm9FF7nd2nIeSq4JvypQpJCYm5neWR47+4iqKL61D\nyc+9Kb60DvqLq/K1vUWLlrJ9+x4iIvbyxRdLuXUrluHDh2K32x/63g/Tf97e3kREbM1yfNu2LRgM\n7rm6h9FoJD09/YEzCCGEEEI8Uuw21Mbr2Z7KaW878Xgx1x+Izb0M7gfGgqI4O84Dy1XB9/TTT7N+\n/XrS0tLyO88j484heo3xOp4/Dc73ou9vvr5+jB8/hcuX/2D//r0AWCypzJo1nW7dOtC1azBz587C\narU6zs2Y8TG9enUjMDCAl17qzs8/7wLg9dd7A9C/f1/HscTERMaMGUGHDm3o1asbR44czDFL/fpP\nYjabOX/+rOPY1atXsFrTKF+V9avZAAAgAElEQVT+CcexnPLdvh1PaOhQEhMTCQpqQWJiApGRf/LB\nB+8SEtKJNm2aM3Dg61y9eiUPP0EhhBBCiHyg2NFfWk2xb59GlcMlRXEPu0JJZyClyUh00YdxubzJ\n2WkeWK4WbYmLi2PevHksWLCA4sWLo9frM53fsWNHvoTLa/pfv8H1/PJcXauLOYLKZsl0TJVuxnPn\n27ie/eqe70+t1Zv0Or0fJKaDwWCgXr0GnDp1goCAlsydO5sbN66xdOlK7HaFjz76gGXLltCv3wBW\nrlzO1auXCQ9fjpubGytWLGXWrOm0bNmKJUuW/zUtcymVK1fl0qULnDp1gilTZjBx4sd88cU8Zs4M\n49tvf8w2h0ajpk2bICIitlKrVh0Atm7dRLt2Hdm165++v1u+GTNm89FHH7BxY8b1Y8eOpEaNmkye\nPB2r1cqECaNZtiycjz76v4f6zIQQQggh8oWi4HJ5I+6Hp6CNO0N6sZqk1B+I27mlmaZ1FuU97Aqj\n1Fq9cTsxB/eD40mr2B7Uj9+al7lKHBISQkhISH5nebTcUezd83g+8fLywmQyoigKmzatY/78cLy9\nfQDo128A48ePpl+/AYSEvEj37j1wc3Pj5s0YDAYDsbE3c7xvw4aNaN68BQCtWweycuXXd80RFBTM\nmDEjePvtYajVanbs2MZnny1wFHz3ynenUaPG4ePjg81mIzo6Ci8vb6Kjox7oMxJCCCGEyDeKgsu1\n7RgOTUYXe5x07yokBS3GUvUFUGtI923sWKXT7lEOU7NxssVBYaLWYmo2Hu/Nr+D66zek1n7V2Ynu\nW64KvhdffDHHc39PKXwcWGr+B0vN/+Tq2uJL66DJZl623aM8id1zN6Srua902UtMTKBSpcokJNzG\nYrEwePAAVKqMCQSKomC1pmOxWDAajcycGca5c2fw9y9H2bL+KHeZa+zp6en4u06nxWaz3TVHnTp1\ncXFx4eTJ42i1WkqX9sXX189x/l757nTt2hU+/PAzYmNjqVSpMiqVKk+eVRRCCCGEyCu6G7txP/R/\n6KIPY/OsQFKbeVhqvJRplEf2sCv80ip1xurbBPd9YzAc+Ri18c/HqrjPVcF369YtFi5cyG+//eYo\nDDJ+mLfy+++/c+TIkXwN6QymZuPw/GmwU4foU1JMnD59il69XsHLyxudTseSJSvw98+YF242m4mP\nj0Ov1zN9+hQqVqxMWNgnaLVaTpw4xs6d2/M0T1BQMBERW1GrNbRv3zHTuXvl+zer1cqoUSMYNWos\nrVsHAvDll4s4erTwfR8JIYQQ4vGjjTyA++FJuPy5B5t7WZKfm0Vqrd6gcXF2NOEMKhVp5VvhHnME\n0hIAHOt7AI980ZerRVtGjRrF7t27qVWrFseOHaNu3bp4e3tz8uRJBg8enN8ZncJSvSfJredg8yiP\nggqbR3mSW88psA6NjPyT8eNHU7NmLZo2fQaNRkNQUDALFswlOTkZs9nM9OlTmDx5PAAmkwm9Xo9G\noyEmJprFixcAOFbG1Ol0mEymh8oUFBTM7t072bfvZ1q3bpvp3L3yubi4kJaWhtVqxWq1kpZmwdXV\nDYAzZ06zZs1qbDZZxVMIIYQQzqON+QXv9d0p9mN7tPEXMAaEEd/7BKl1X5dir4hz/fXbLMdU6ebH\nYguOXI3wHTlyhPDwcBo1asShQ4cIDAykUaNGLFy4kD179vDqq4/fXNbcKOgh+v79+6JWq1Gp1Hh7\ne9OyZSveeGOQY4rksGGhzJs3hz59epKamkr9+g2ZOHEqAEOGvMe0aZNZvXoVPj7F6NYthAsXznPl\nymWqVq1Gx45dGDbsLUJDRz5wvgoVKlK6tB/+/uVwd/fIcv5u+apUqUbFipXp2LEtX365gtDQkYSF\nTcJsTsHfvxxdu4bwww//k60bhBBCCFHgNLGncD88Gf2Vzdhdi2Ns9n+Y6/UHncHZ0cQjIqetNh6H\nLThUyt0e9PpLgwYN2Lx5M2XLluWDDz6gbt269OnTh+vXr9OjRw8OHTpUEFlzFBubnO3x6Oir+PlV\nKOA0/9Bo1Nhs8lxaYVcQ/ezs72WRwcfHQEJCirNjiAIgfV10SF8XDTn1syb+V9wPT0H/+xrseh/M\nDQdjrj8QxcUzm7uIx0F+/ZvOaX0Pm0d54vuezeYdBa9Uqey/b3M1pbN27dps2LABgJo1a7Jv3z4A\nbtx49CtaIYQQQggh/k2T8Bue29+g2Mqn0V2LwNR4BPF9TpHSeLgUeyJbpmbjULRumY49Lltw5GpK\nZ2hoKAMHDsTFxYWuXbuyePFiunTpQmRkJJ06dcrvjEIIIYQQQtw3/cVVji0TinuUI6XB22jjzuB6\nYSVoXDA/OZSUJ4eiuJVwdlTxiPv7Ma/HcQuOXE3pBEhOTiY1NZVSpUoRFRXFtm3b8PHxoUuXLqjV\nuRoozDcypVM4k0zpLDpk6lfRIX1ddEhfF176i6uyrrgOoNJgrvcmKY3eQ3H3dVo+kT+K8r/pnKZ0\n5nqreE9PT/744w/27dtHYGAgAQEBPPHEE04v9oQQQgghhLiT+4EJmYo9ABVgM/hiahHmnFBCOEGu\nCr74+Hjeeustzp07R3p6Ok899RTTp0/n999/Z8mSJZQvXz6/cwohhBBCCJEr2pvHUWezwAaA2hRV\nwGmEcK5cDc9NmjSJUqVKcfDgQccm2tOmTaNKlSpMmjQpXwMKIYQQQghxT4qC7vpOvNc+T7H/PUfG\neF5Wdo9yBZtLCCfL1Qjf/v37Wb58OQbDP3uReHl5MXz4cHr2fPQfVBRCCCGEEIWUPR3972twOzYb\n3a2T2Ax+GJtNxK73wXPvB5mf4XtMVlUUIi/l+hm+1NTULMdu3bqFi4tLngYSQgghhBDintLNuJ5f\njuHEHDRJV0j3qUpy6zmk1ngJNBkz0tAZHstVFYXIS7kq+Dp37szkyZOZOHEiKpWKlJQUDh48yLhx\n4wgODs7vjCIPJCUlotFocHf3cFqGyMg/KVvW32ntCyGEEOLxp0qNx+3MYtxOLUBtvoXVtzHG5pNJ\nq9QJVJmfVrJU74mles8ivXKjELl6hm/EiBHUqVOH7t27k5KSQrdu3XjjjTdo2rQpH3zwQX5nLBIC\nAhrTtm1zgoJaEBgYQNeu7Zk2bTJJSUl5cv+XXw4hJiYagPDwhYwZMyJX7wsPX0hAQGMWLZqf5dy3\n3y4nIKAxmzatv+d9Ll78lUGDXs91m3fm69v3ZeLj44CM4nX27Jn07NmVwMAAOnZsy8iR73Pp0sUc\n73ny5HF69OiSq/bv1K9fn1x9jUIIIYTIP+rkG7jvHUmJpXVwPzQJa6knSei2iYQXdpBWuUuWYk8I\nkSHHET5FUVCpMh52dXFxYcyYMbz77rtcv36d9PR0KlSogKdn9ns9FBbpmzZgm/MpREeDnx+awe+i\n7dg539pbtGgplStXBSAmJpqZMz9m+PChzJ8f/tDbXyQmJj7we729vYmI2Er//oMyHd+2bQsGg3uu\n7mE0GklPT3+g9qOjo9Dr9RQvXoKkpCT69XuVmjVrMW3aLMqXf4Lk5GS2bNnAO+/0Z9my7/D19cty\njwYNnuT776VoE0IIIR43mrjzGI7PQn/pf6AoWKq9QMqTw7CVrOvsaEI8FnIs+F544QUmTZpE7dq1\nHcfc3d2pWbNmgQRztvRNG7BNHAt/P7sYFZXxGvK16Pubr68f48dPoVu3Duzfv5eAgJZYLKnMnz+H\nXbt2oigKQUHBDBjwNjqdDosllTlzZnHkyEHi4m5RsmQp3nprKC1btuL113sD0L9/X8aNmwxkFIBj\nxozg6NFf8PLyIjT0Q5o0eSbbLPXrP8nZs6c5f/4stWrVAeDq1StYrWmUL/+E47qc8hmNyYSGDiUt\nzUJQUAu+/349JpOJ2bNncOnSRRISEqhevQYjR46lQoWKWdrft+9nnn02AIClSxdTqlQpJk6c6viF\nhI+PDy+91Bu7XSEpKQlfXz8mTx5PWpqFM2dO4+HhwZAh7zN27Ids3LiDTZvWExGxjWLFfNiz52d8\nfHx4/fU3CQ7uBMCRI4eYPXsmMTFRtG4diNWa5siSnJzMrFnT2LdvD1qtjo4dO/POO8MA2L59C0uX\nhhMbe5NKlaowePB71KlTl6ioSF577WVatmzNnj27ePfdEbRq1SbHvhRCCCEEaCMPYDj+KforW1C0\nBsx138Dc4B3sXk/c871CiH/kWPCVKlWKF198kT59+jB06FDc3NwKMle+sK1fi23ND7m6Vjl9EtLS\nMh9MTcU2fgz21f+75/s13ULQdOv+IDEdDAYD9eo14NSpEwQEtGTu3NncuHGNpUtXYrcrfPTRByxb\ntoR+/QawcuVyrl69THj4ctzc3FixYimzZk2nZctWLFmy/K9pmRkjiJcuXeDUqRNMmTKDiRM/5osv\n5jFzZhjffvtj9l+LRk2bNkFERGx1FHxbt26iXbuO7Nq1w3Hd3fLNmDGbjz76gI0bM64fO3YkNWrU\nZPLk6VitViZMGM2yZeF89NH/ZWl/3749DBo0GICff97Na6/1cxR7//af//TJ9PrEiWOEhy/H1dWN\nixd/zXTu8OEDjB49npEjx/HDD//j00+n0bp1ICaTkVGjhjNixChatw5k7dofMk3nnDFjCmZzKqtW\nrcNmS2fw4IGUL/8EpUv7MX36VKZN+5S6deuzZctG3n//HVas+B4Ak8mEn18Z1q3bht1uv+tnJYQQ\nQhQV+ourMi+q8sxYFJ0HhuOz0EUfwu5aHFPTUZjr9UdxLeHsuEI8lnKcJ7hw4ULmzJnDzp076dSp\nE7t37y7IXM53Z7F3r+P5xMvLC5PJiKIobNq0jkGDBuPt7UOxYsXo128A69ZlFGkhIS8yaVIYbm5u\n3LwZg8FgIDb2Zo73bdiwEc2bt0CtVtO6dSBRUZF3zREUFMzOnRHY7XYAduzYRrt2/yzYc698dxo1\nahz9+g3AZrMRHR2Fl5c3sbGxWa5LSUnhzz9vUK1aDQDi4mIpVaq04/z+/XsJDm5FcHArgoJaEBb2\nz76QjRo1oWTJUnh4ZF2oxtfXjw4dOqPVagkO7oTJZOL27dvs37+X8uXLExQUjFar5YUXelKuXHkA\n0tLS+PnnXfTvPwgvLy+KFStOWNgnPPtsANu2baJDh040bNgIrVZL585dqVChEnv27HK02a5dB1xc\nXNDr9ff1WQkhhBCFkf7iKjx/GozGeB0VChrjdTwj3sR788uoTdEkt5hO3KvnSGnyoRR7QjyEu67S\n2aZNGwICAliyZAnvvfceLVu25O2333Zsvv638uXL52vIvKLp0hVNl665utbSoS1ERWU9UaYMLuFL\n8zhZzhITE6hUqTIJCbexWCwMHjzAMbqlKApWazoWiwWj0cjMmWGcO3cGf/9ylC3rj6IoOd73389f\n6nRabDbbXXPUqVMXFxcXTp48jlarpXRp30zPyt0r352uXbvChx9+RmxsLJUqVUalUjmKyX87fPgA\nTZo87Xjt41OMuLhbjtfPPhvAli27AJg7dxaJiQmOc8WL5/w/Bx+fYo6/a7Xav/LaiY+Po2TJ0pmu\n9fMrA0BychJWq5XSpf857+9fDo1Gze3bt6lSpfod7/Pj5s1/iu4SJTLy3OuzuvPflxBCCFEYuR8Y\nn2mPPAAVCnbX4sT3Pg7qXO8eJoS4i3v+S3JxcWHgwIFUrVqVYcOGsWXLFse5vxd2OX/+fL6GdAbN\n4HczP8MH4OqKZvC7BZYhJcXE6dOn6NXrFby8vNHpdCxZsgJ//3IAmM1m4uPj0Ov1TJ8+hYoVKxMW\n9glarZYTJ46xc+f2PM0TFBRMRMRW1GoN7dt3zHTuXvn+zWq1MmrUCEaNGkvr1oEAfPnlIo4ePZKl\nzX379tCmTaDjdUBASzZtWk9wcKdsp3X+273OZ6dkyVLExGQu9G/dyhh59PEphk6nIzY2Fm9vHwAO\nHTpAcnLGc4PR0ZlHSSMjI6lXr8G/EwH391kJIYQQhUZ6KrqYX9BF7kMXuQ+18Ua2l6lSb0uxJ0Qe\nuufSj3/++SdDhgxhyJAhdOjQgQ0bNhAREUFERAQ7duwgIiKiIHIWOG3HzmjGToQyZUClgjJl0Iyd\nWCALtkDGnnXjx4+mZs1aNG36DBqNhqCgYBYsmEtycjJms5np06cwefJ4IOMZMb1ej0ajISYmmsWL\nFwA4VsbU6XSYTKaHyhQUFMzu3TvZt+9nWrdum+ncvfK5uLiQlpaG1WrFarWSlmbB1TXjudAzZ06z\nZs1qbLbMq3ja7XaOHz9Ko0ZNHMfeeGMgsbE3GT9+FFevXgEgKSmJ1atXsWHDmruO6uXGs8+2ICYm\nhjVrVpOens769Wu4cuWy42ts0yaI8PAFmExG4uJu8fnns7BYUgkO7sSWLZs4ceIY6enpbNiwlitX\n/qBFi1ZZ2rjXZyWEEEIUClYTuus/YTj0f3j/2IGSi8vjs6YjhsNTUJvjUHTZ7w1s9yhXwEGFKNxy\n/PVJWloaX3zxBYsXL8bf35+vvvqKpk2bPlRjy5cvZ+XKlahUKsqXL8+kSZPw8fHh448/Zs+ePdhs\nNl5//XVefvllAK5cucLo0aO5ffs2BoOBsLAwqlSp8lAZ7oe2Y+cCK/AgYxVNtVqNSqXG29ubli1b\n8cYbgxwjVcOGhTJv3hz69OlJamoq9es3ZOLEqQAMGfIe06ZNZvXqVfj4FKNbtxAuXDjPlSuXqVq1\nGh07dmHYsLcIDR35wPkqVKhI6dJ++PuXy3YD97vlq1KlGhUrVqZjx7Z8+eUKQkNHEhY2CbM5BX//\ncnTtGsIPP/wv09YNZ8+epkqVqplGvby8vAkP/5rly5cycuT73Lp1C7VaTa1atfnggzGOEcMH5ePj\nw7Rpn/LJJ9OYO/dTGjduSv36DR3n3313BJ99NpOXXgpBpVLRtWsIzz/fHZvNTmjoSGbMmEpMTDQV\nK1ZixozP8PX1y/b5yLt9VkIIIcTjSGVJRBd10DGCp409jsqejqJSk16qAeZ6b2ItG4C1zNMorsUd\nz/D9e1qnonXD1GycE78KIQoflZLDg15t2rQhISGBQYMG8d///tfxnNODOnPmDEOGDGHt2rV4enoS\nFhaGyWSiRo0a7Nq1i/nz52MymejVqxfTpk2jfv369OjRg759+9KlSxd2797N9OnTWb9+fZaperGx\nydm2GR19FT+/Cg+V+2FoNGpstqzPpYnCpSD62dnfyyKDj4+BhIQUZ8cQBUD6uuiQvs5ZlhU0m43D\nUr2n47wqNQ5d5AF0kXvRRe5He+sUKsWOotaRXroR1rIBpJV9lvQyz6C4ZL93873ayCvSz0VHUe7r\nUqWy/3eWYxVXu3ZtRo8eTZkyZfIkQN26ddm6detfe8ZZiImJoVy5ckRERNCzZ0+0Wi3e3t506tSJ\ndevW4evryx9//EGnThl7oz333HNMmDCBc+fOUadOnTzJJIQQQgghsrpz9E1jvI7nznfQRh1GpVLQ\n/bkPbfw5ABSNK1a/JqQ0HoG1bHOsvk1AZ8hVO5bqPfOlwBNC/CPHgm/u3Ll53phOpyMiIoLRo0fj\n4uLCkCFD2LZtW6ai0s/PjwsXLhAVFUXp0qVRq/95zNDX15fo6OgsBZ+Hhx6tVpOlvZgYFRrNPR9T\nzFfObl8UjPzuZ5VKhY9P7v7nKfKPRqOWfigipK+LDunr7GkPTcy6gqYtFcOZL1B07ijln8VW/2WU\nJ1qglGmCSqvHBXBxTtx7kn4uOqSvsyrwJZACAwMJDAxk1apV9OvXD61Wm2mKpqIoqNVq7HZ7lqmb\niqKg0WQt7IzGrMv+/329M6dUypTOoqEg+llRlCI7PeFRUpSniRQ10tdFh/R1NmwWSiZdy/aUgopb\n/a6BRvfPQaMNeLQ/Q+nnoqMo93VOUzoLbPjp6tWr/PLLL47XL7zwApGRkZQuXTrTXmU3b97Ez8+P\nsmXLEhsbm2kvub/PCSGEEEKIvKVKicVw5GNKLK1DThsb2T3KZS72hBCPvFwVfJcuXXrohmJjY3nv\nvfeIj48HYP369VSrVo127dqxenXGEvhJSUls3LiRwMBA/Pz8eOKJJ9i0aRMAe/bsQa1WU7169bs1\nI4QQQggh7oMm7iweO9+mxLLauB+egrV0Q0yN3kXRumW6TlbQFOLxlKspna+++iqLFi2ibt26D9xQ\n48aNGThwIK+++ioajYbSpUvz+eefU6ZMGa5du0bXrl2xWq306tXLsf3DJ598wkcffcT8+fNxcXFh\n9uzZmZ7pE0IIIYQQD0Cx43J1G24n5+Ny4ycUrRupNXtjbjAIW7GMX67bStQpkBU0hRD5K8dtGf6t\ne/fuvPPOO7Rt2/ZelzqFbMsgnEm2ZSg6ivJzAUWN9HXRUeT62mrC9ddvcDs1H23Cb9jcy2Ku9yap\ndV5DcS3u7HT5psj1cxFWlPv6vrdl+LcaNWowZMgQatWqhb+/f6aNsAGmTZv28AlFvkpKSkSj0WS7\nYbrI3s2bMRQvXuKh96AUQgghnE2dfAO301/geu4r1JYErKUbkRQUjqVKN3kmT4hCLlfzI1UqFc8/\n/zzVqlXDYDCg0Wgy/REPLyCgMW3bNicoqAWBgQF07dqeadMmk5SUlCf3f/nlEGJiogEID1/ImDEj\n7nr9p59O46uvFhMU1IKgoBa0bducgIDGjtdBQS2Ijo7mnXfeZPXq7/IkY042bVpPv359cn1tQEBj\n/u//PspybvfunQQENCY8fOE97xMfH8d//vMCaWlp97x248Z1uc4nhBBCFCRt9BE8t75G8a/r4Xbi\nM6zlWnE7ZDsJPX7CUv1FKfaEKAJyNXQxderU/M7xSNJdv4LbuZOozSnY3QyYazfAWr5ivrW3aNFS\nKleuCkBMTDQzZ37M8OFDmT8//KGfXUxMTLyv6w8fPsjixct47bU3APjjj9949dWX2L59z0PlKAje\n3t7s2fMzFksqer2r4/i2bZsxGNxzdQ+LxUJqamp+RRRCCCHyjz0d/e/rcDs1D130YewuXpgbvIW5\n3gDsXk84O50QooDleq7arl27WLp0KVevXuXrr7/mf//7H2XKlKFXr175mc9pdNev4H7iMCqbDQCN\nOQX3E4cxQb4WfX/z9fVj/PgpdOvWgf379xIQ0BKLJZX58+ewa9dOFEUhKCiYAQPeRqfTYbGkMmfO\nLI4cOUhc3C1KlizFW28NpWXLVrz+em8A+vfvy7hxk4GMAnDMmBEcPfoLXl5ehIZ+SJMmzwAZxV3p\n0n65nv7522+XePPN17h8+Q+qVq3GuHGT8PMrQ3j4Qi5cOE9k5J+YTCaWL1/FgQP7+Oabr4mM/BOV\nSkWbNoGEho5EpVKxbdsWlixZSEJCAuXKlefNN9+iadOMTBaLhbCwyezZswudTsfAge/Qvn3HbPP4\n+ZUFYN++vbRpEwiA0WjkzJnTPPlkI8d1NpuNZcuWsHHjOlJTU3n22QCGDn0fd3cPx4hd167t+fzz\nRfj6+jFr1gxOnz7J7dvxlCtXnvff/5D69Rveb9cKIYQQeUJ/cVXmRVUah6JOS8bt1EI0xuvYvCqR\n3GIalpqvoLhk/2yPEKLwy9Ww0dq1axkxYgRPPfUUcXFx2O12SpUqxccff8xXX32VzxHzjsu1y3js\n2ZGrP+7HDzmKvb+pbDbcjx/K1ftdrl1+6LwGg4F69Rpw6tQJAObOnc3Vq1dYunQlX321kl9/Pcey\nZUsAWLlyOVevXiY8fDlbt+6mY8cuzJo1HYAlS5YDGSOILVu2AuDUqRN06NCFjRsjaN06kJkzwxzt\n7tu3h+bNA3Kd8+DB/YwbN4n167eh1WpZujTcce7o0SNMnDiVr79eRVJSEmFhkwgN/ZAtW35i3rzF\nbN++laNHj5CamsrUqRMYP34KW7b8RPfuPQgLm+TYh/HKlT+oUaMm69dvo2/f15k+fQpWqzXHTO3a\nBRMRsdXx+qefIggIaIlO98/Ule++W8Hu3T/x+eeLWLVqDRZLKp9+mvGZhYd/DcDatVupXr0m8+Z9\nBsCKFf9jy5Zd1KvXkAUL5ub6MxJCCCHykv7iKjx/GozGeB0VChrjdTx3DcVj/xhs3hVJ7Pgt8a8c\nI7X+QCn2hCjiclXwLV68mAkTJvDOO+84pha+8sorTJ06lWXLluVrQKex57DqYk7H84mXlxcmkxFF\nUdi0aR2DBg3G29uHYsWK0a/fANat+xGAkJAXmTQpDDc3N27ejMFgMBAbezPH+zZs2IjmzVugVqtp\n3TqQqKhIx7mMgq9lrjN27RqCv385XF1dad68BZGR/9yrevUaVK5cFQ8PD0qWLMWyZd9Ru3ZdEhMT\nSEpKwtPTk9jYm2i1WvR6V9at+4EzZ07Rvn1Hvv9+PSpVxtavZcv6063bC3+NCgaRmprK7dvxOWZq\n27Y9hw8fwGQyAhnTOe8cEdywYS3//W9/fH39MBjcGTRoCNu2bcZisWS535tvvkVo6IdoNFqio6P+\nyh2b689ICCGEyEvuByagSjdnOqYCbAZfErttJK1SR1DLOgtCiFxO6bx27Vq2e/DVqlWLW7du5Xmo\n/JL2RCXSnqiUq2u9tq5FY866pKvdzYCxRe62p8iL/8wmJiZQqVJlEhJuY7FYGDx4gKMIUhQFqzUd\ni8WC0Whk5swwzp07g79/OcqW9eduO254ev7z2z6dTovtr9HM27dvYzIZ8fcvl+uMme+lw2ZLd7wu\nXryE4+8ajYZ1635k48Z1uLm5Ub16TdLT01EUBa1Wy+zZ81m6NJz33x+MVqvlpZf60KfPa3+14eW4\nj1abMUpnu2ME9t9KlixJnTr1+PnnXTz1VBNu3oyhfv2GrFr1jeOamJhoJk0ax9SpE/51by0xMdGZ\nRgIBbt26xezZM7hy5TIVKlTA09MbRZEtN4QQQjiH2ngj++MpOf+yVwhRNOWq4KtevTq7d++md+/e\nmY6vXr2aGjVq5EswZzPXbpDpGT4ARaPBXLtBgWVISTFx+vQpevV6BS8vb3Q6HUuWrHAUY2azmfj4\nOPR6PdOnT6FixcqEhbWlhvcAACAASURBVH2CVqvlxIlj7Ny5/b7bPHBgL82aNc+zr+Hv4hQgImIb\nO3du58svV1CiREkAXnyxKwAmk5GUFBP/z959x0dRpw8c/8zszm42m01vlFBEUKSIHEUQEGmK0lTk\n0Dv11LOdYDn9WfGHiBW7Ap7tbOf91FNRqVJFRETQs9BBAgTSSd1NsmVmfn8sBEISWCDJJuR5v155\nhZ2ZnXl2vgnZZ7/leeKJZwgEAqxf/wMPPngP55zzhxO+9vDhF7FkyVcUFhYwfPhF1fYnJCRy331T\n+MMfegMQCATIzNxLq1atyc3NqXLs1KkPMnbsZcya9QaKorBw4Tx27txxwrEJIYQQJ8znBosN9Ooj\nUoyo0D+wFUI0DyEN6bzvvvt44YUXuO222/D7/cyePZuJEyfy3nvvcffdd9d3jGHhT2uHp0cfdEck\nJqA7IvH06NMgC7YAZGbu45FHHuLMMzvTp8+5WCwWhg+/iH/8YyalpaWUl5fzzDNP8PjjjwDg8Xiw\n2+1YLBZycrJ5881/AMEkBoI9bx6P55jXXb36G/r3H1gvr6mszI3VakXTbPh8Pj744F2ysvYRCAQo\nL6/g7rsns3btGqxW64GEUCE6OvqY563N4MFD+e23X5g793NGjBhZbf/IkaN4++03yM/PJxAI8Prr\ns7n77tsxTRNNsx2I2VP53eGIQFEUdu1K54MP3qu8t0IIIUSD8XuImX8F6F5M1VZll2l14Ok3NUyB\nCSEaq5B6+Hr16sWiRYv497//jcVioaSkhF69evH888/TsmXL+o4xbPxp7RoswYPgKpqqqqIoKjEx\nMQwaNJi//vXWyl6yO++8h9mzX+HqqydQUVFB9+49ePTRYMmM22//OzNmPM6nn35MbGwc48Zdxtat\nm9m1K53TT+/IxReP5s47/8Y99zxQ6/X9fj9btmymW7f66cUcOXIU69evY/z40djtdnr06MmgQRew\ne3c6Y8ZcysMPP8rLLz9Hbm4OsbFx/P3v99KmTVs2bPj1hK4XFRVFnz59yc3NoU2bttX2X331dfj9\nfm6++S+43aV06nQmM2a8eCDhTKBfv/OYOPFSZsx4kXvvfZCXX36e2bNfISkpiUsuGcPrr8+muLjo\nZG+LEEIIERq/h5h549Gy1lA64p9gGlVX6ew3FW+nCeGOUgjRyCjm0SZ6AaWlpWiaRkRExNEOC6u8\nvNIat2dn7yY1tfob/YZisajouszzOtU1RDuH+2dZBMXGRlJUVH1urzj1SFuf+qqVNGjsyZLfQ8y8\nK9CyvqN0+Jt4O44Pd0RNivxONx/Nua2TkmpekbfWIZ15eXlcd9119OnTh549e3LDDTeQlZVVbwEK\nIYQQQjSEGksarJiMfdvH4Q6tZpLsCSFOQq0J3/Tp08nPz+e5557j+eefp6ioiPvuu68hYxNCCCGE\nqHPO76ZWL2kQKMe5Zlotzwgjv4eY+ROCyd6wNyTZE0Ict1rn8K1du5Z//vOfdOnSBYAzzzyTiy++\nmPLychwOR4MFKIQQQghRJwydiE1vo3r21bi7tlIHYXMw2ctcHUz2Ol0R7oiEEE1QrT18paWlpKSk\nVD5u164dFouFgoLai10LIYQQQjRGWuZ3xH08CNfKv4PFXuMxps0FRu01XhuU30PM/D8eSPZel2RP\nCHHCak34DMOoUkMNgkWpDUMWIRFCCCFE06C69+FafD2xcy5C8RZSfOG7lF4wE9NadbSSqVhQfSXE\nfDEa1V1zD2CD8ZcdSPa+PZDsNeLFZIQQjV6tQzoVRamW8B35WAghhBCiUQpUEPnzTCJ/fBZMHU+v\n+yjreRdokcH9ilJtlU6MAK6VdxP30XmUDnkVX/vqNVzrnb/swDDObykd+poke0KIk1ZrwmeaJrfe\neitW66FDKioquOuuu7Dbqw6F+OCDD+ovQiGEEEKIUJkmtl0Lifr2fiwlu/CeNhr3eY9jRLercpi3\n0wS8nSZUW8I9kNob11fXE7Pgj5R1vxVP/0drHQJa545M9s74Y8NcVwhxSqs14Zs0aVK1bf369avX\nYIQQQgghTpSlcDtR396Hbc9SAnFnUDTmC/xpFxzXOfTYjhSNX4rzu/8l8tdX0TK/o/TCf6LHdqyn\nqA84fBjn0H9IsieEqDPHlfAJEU6Zmfto2bJV2K5vmiY5OdmkprYIWwxCCCGqU3wlRK6bgePX2ZjW\nSNwDnqS8601g0U7shBY7noFP4299Pq5ltxL30SBKBz+P94wr6zbwgyqTvVUHkr2J9XMdIUSzVOui\nLaJhDRjQi6FDz6OszFNleyAQ4JJLhjJ+/OiQz7Nz547jvv7MmS/y+OOPAPDee/9k+vSHj+v5CxbM\nZdCgPgwfPpDhwwcybNgArr32SubO/fy4Y6nJt9+uZOrUByofjx8/mtWrV4X03PHjRzNgQC/27s2o\ntu/aaycyYECvkM4za9ZLfPLJRyFfM9T4hBBCnCDTwL7lA+L/1RPHz69QccZVFPzpv5SffduJJ3uH\n8bW/mMKJ3+FP7kH00ptxLb0ZfO46CPww/jJiFkyUZE8IUW9q7eETkOffToZ/LT7TjU2JIk3rS5JW\nf0M6IiIiWLVqJRdeeHHltu+//w6/P0BDlj685prrT+h5HTuewVtvvQ8EV3n98cd1TJv2EIFAgEsv\nPblCsSUlJRiGecLPj4mJYenSr/jLX/5aue3333eQlZUV8jmKi4uIiYk94RiEEELUHWvOj0St+h+0\nnPX4U3rhvuQjAil/qPPrGFGtKB47j8j1M4hc/zTW7B8ovfBtAkk9Tv7kB5O9vSspHfaaJHtCiHoh\nPXy1yPNvJ923Ep8Z/CTPZ7pJ960kz7+93q45ePBQli79qsq2JUsWcv75Vecf/PzzT/z1r9dw0UWD\nufHGa9m0aUON59uyZTOTJt3EhReez1VXXc6CBXMr92VlZXLHHbcyfPhAbr31enJzcyr3vfXWa0yZ\nci8AXq+XF198llGjhnHxxUN54olpeL3eY74WVVXp3bsvt912J2+99VplOY/ff9/BpEk3cdFFg7nm\nmj+yZs23lc/Ztm0Ld9zxN8aOvZChQ8/jrrtuo6BgP5s3b+TZZ59k+/atjBlzYeXxP/20jmuvvZLh\nwwfyP/9zByUlJbXGE7y3i6tsW7y4+r2tLb4PP/wXixcv5JNPPmTKlPsAWLr0K66//s+MGHE+I0cO\n4ZlnnsA0TzwpFUIIcWxKWR5RyycR+8kQLCV7KBn6D4ouX1ovyV4l1UJZnwcoHjcfJVBO7CfDcPwy\nG07m/3x/GTELrpRkTwhR75pVwpfn38rG8i9C+trpW4FBoMrzDQLs9K0I6fl5/q3HHd/QoSP46af1\nFBcXAVBW5uHnn//LeecNrDwmOzube++9i2uuuZ5585Zy5ZVXH0h2iqucq7CwkDvvvJXBg4cwf/4y\nHnpoGjNnvsiaNasBePjh+2nbth3z5y/jb3+7o0ridbh//vN1Nm78lXfe+T/+858vyM7O4p133gz5\nNfXt24+iokL27NlNWZmHv//9NoYMGc68eUu5887/Ydq0h9mzZ3dlTAMHDuLzzxfx2WfzcbvdfPrp\nx3Tu3IV77nmAjh3P4MsvDyXE69ev48UXZ/Hpp/PIyspkzpz/1BpHnz79KCzcz44dwYTdNE2WL1/C\n8OEXVR5ztPgmTvwzI0aMZPz4iTz22NNkZWXy9NOPcc8997N48Upmz36TJUu+4scf14V8b4QQQhwH\n3Y/jl1nEf9CTiK3/przHZAr+/BPeM68CpWHezvhbnkfhxNX42gwl6tv7iV4wEaV8//GfKFB+INn7\nmtJhMoxTCFG/QvofsqysjBdeeIGdO3dimiYPPPAAPXr04M9//jPZ2dn1HWNYmNRcYL627XUhNjaW\nHj3+wNdfLwdg5coV9O8/AE2zVR6zZMkievb8A4MGDcZqtTJkyDBOO+10VqxYVuVcq1evJDk5hfHj\nJ2K1WunSpStjxlzKokXz2LdvL1u2bOLmm2/DZrPRrdvZDBt2ITVZuvQrrrnmehITk3A6o5gyZRqj\nRo0N+TVFR8cA4Ha7+e67b4mNjeeyy67AarXSs2cvBg0azMKF8wB4/vmZXHbZBCoqKsjNzSU2Npa8\nvNxaz33llX8mLi6e6OgYevXqQ1ZWZq3HWq1WLrhgGMuWBXv5fv75J1q1ak1iYmLlMceK73CJiUm8\n995HnHVWV4qLiygpKcHlch01XiGEEKGxb/uY+He7kDgrhvh3uxC55hHiPupP1LcPEEjtReHE7/Gc\n9ximLbrBYzMjEii5+EPcA57GtmcZcR+dh7av5g9NaxQoJ2b+xMOSvXpaCEYIIQ4IaQ7f9OnT+eWX\nXxgzZgwLFixgwYIFTJ8+ncWLFzNt2jReffXV+o6zTiRpZ5CknRHSsT+V/atyOOfhbEoUXRyhJzzH\na/jwC5k//0vGjr2MxYsXcs0111NWdqg+UE5ONmvXruGiiwZXbgsEAnTvXnUuQWFhYbXVJFNTU/nl\nl/9SULAfhyMSpzPqsH0talzUpLCwgKSklMrHyckp1Y45mqKiosOu/RO7du2sEruu6wwaFBxWuWnT\nBu6553bKysro0OF0SktLiI2Nq/XcLtehP/RWq4aue2o9FmD48It47LFHuPnm21i8eFGVuZIQvLdH\ni+9wFouFL7+cw/z5X+JwOOjU6UwCgYAM6RRCiJNk3/YxrhWTUQLlAFjcGTh/eh4jIpHiiz/C1+4i\nUJTwBqkolJ99K/6W/XF99RdivhhFWa97Ket1L6hHeWt1eLI39FVJ9oQQDSKkhG/58uW8/fbbdOjQ\ngZdeeonzzz+fMWPG0LVrVy6//PL6jjEs0rS+pPtWVhnWqWIlTetbr9cdNOgCnnvuabZu3cK+fXvp\n0aMn33136JPDxMREhgwZzsMPP1q5LTNzHzExMVXOk5KSyuLFC6tsy8zMJD4+nsTEJMrLy6osQpKX\nl1djPImJSeTn5wKdAdiyZRMbNvzK+PGhDT9Zu/Y7EhISK7+6du3OrFlvVO7Pzc3BbreTm5vDY49N\nZfbst+jSpSsATzwxrU4TqO7de2CaBj///BPff7+ayZPvJDv70KItR4vvSEuXLmb58iW8/fYHJCcn\no+sGV1xRfx8ECCFEc+FcM60y2TucaY3A135kGCKqXSDpbIomfEPUN/fgXPcU2r5VlA5/EyOqhhJC\ngfIDC7QcSPbOvKrhAxZCNEshDekMBAJERUXh9/tZvXo1AwcG55R5vV5sNtsxnt00JWkdaW87H5sS\n7AWzKVG0t51fr6t0AkRGRtK//3lMn/6/DB06AuWITzGHDh3B6tWrWL/+B0zT5Ndff+baa69k8+ZN\nVY4799zzKCws4JNPPiQQCLBx4wbmzv2cESNG0qJFS7p378HMmS/i9VawefNGliypmhweNGLESN5/\n/x0KCvbjdrt59dWZFBQUHPN16LrOmjWree21Wdx4460oikL//gPYvXsXS5YsQtd1du1K56ab/sKq\nVV9TXh784x4REYFpmqxZs5oVK5YRCAQTbk3TKCvznFQCqCgKQ4eO4Nlnn+Lss88hMtJZZf/R4jsY\ng8cT7EUsK3NjtVrRNBs+n48PPniXrKx9lfEKIYQ4Map7by3b9zVwJKExbS5Kh71GybDX0HJ/Ju7D\n/tjSF1Q96GCyl/E1pUNnS7InhGhQIfXw9ezZk6eeegqXy4Xf72fYsGFs3ryZRx99lP79+9d3jGGT\npHWs9wSvJsOHj2TZsr8zffpT1falpbVh+vQnefXVV8jI2ENsbCyTJ99Fr159qhwXHR3Ns8++wssv\nP8frr79KbGwst9wyifPPHwLAo48+xVNPPcqoUcNp2bJ1jcMWIViioby8nOuu+xO6HmDw4GFcd92N\nNR67fftWhg8PfhhgtWq0bt2a22//e+X8wOjoGJ57LhjTc889hcMRybhxlzNq1DgA/vKXv3LHHbcQ\nCOi0b9+esWMv46efgougnHNOcPW1kSMv4Isvvqrh6qEZMWIkH3zwLrfddnu1fceK74ILhvK///sg\nOTlZPPnks6xfv47x40djt9vp0aMngwZdwO7d6SccmxBCCDDtsSjewmrbjajWYYgmdN4zriSQ0gvX\nV9cTs2Ai3rShWAu3BhNViw1074GevT+FO1QhRDOjmCF0mWRnZzNt2jQyMzO5/fbbGTp0KC+++CI7\nd+7kkUceIT4+viFirVVeXmmN27Ozd5Oa2raBoznEYlHR9fpb5EU0Dg3RzuH+WRZBsbGRFBWVHftA\n0eRJW4eHffO/iF7+N0xFRTEP/b9qWh2UXvAK3k4T6vyadd7Wupfo+Vdiz1haZbOp2oK9e/XwGsSx\nye9089Gc2zopyVXj9pB6+FJTU6stzHLnnXeefFRCCCGEEIB960e4lt+GL20IFR2vwPnDE6juvRhR\nrfH0m9p0EiWLHWth9dJMiuHDuWZa03kdQohTRkgJX0VFBZ9++ik7d+7E5/NV2z99+vQ6D0wIIYQQ\nzYNtxxxcy27G32ogxSP/DVok3s5Nd+hj7fMQa94uhBD1KaSE76677mLdunX06dOHiIiI+o5JCCGE\nEM2Ebec8opfcQCC1L8WXfARaZLhDOmlGVGss7uqljhr7PEQhxKkppITv+++/54033qBXr171HY8Q\nQgghmgnbrkVEf3UtgaQeFI/6D2jOYz+pCfD0m1qlliAE5yF6+k0NY1RCiOYqpLIM7du3R9f1+o5F\nCCGEEM2EtmcZ0YuuJpDQleLRn2HaosMdUp3xdppA6QWvoEelYaKgR6XV26IzQghxLCH18D311FPc\ncccdXHLJJbRs2RJVrZonjhs3rl6CE0IIIcSpR9v7DTELrkSP7UTxmDmY9thwh1TnvJ0mSIInhGgU\nQkr45syZQ3p6Ou+//361OXyKokjCJ4QQQoiQaJnfETN/AnpMe4rGfoEZEd7STkIIcaoLKeH78MMP\neeaZZxg9enR9xyOEEEKIU5Q1+wei541Hj2pF0di5mI7EcIckhBCnvJDm8MXFxXHGGWfUdyxCVKqo\nqKCgYH9YY8jNzSEQCIQ1BiGEOFVYc38iZu7lGJHJFI+bhxmZHO6QhBCiWQgp4ZsyZQpTp05l1apV\npKenk5GRUeXrVLVwcw6j31hLn+e/YfQba1m4OadernP33bczfPhAhg8fyPnn92Xw4HMrHz/zzBP8\n9NN6LrlkaL1c+3Djx49m9epVte4PBAJcccUYAoEA48ePZsiQ8xg+fCDDhg1g1KhhTJ36IDk52XUS\ny2233cjmzZsAWLBgLjfccHVIz1uwYC4DBvRi+vSHq+1buXI5Awb04q23XjvmeQoK9nPVVZfXWHfy\nSPPnfxlyfEII0RxZ8n4l5stxmPZYisfOw3C2CHdIQgjRbIQ0pPNvf/sbADfeeCMQnLcHYJomiqKw\nefPmegovfBZuzuGJJdupCBgAZJd6eWLJdgBGdk6p02s999zLlf+eMuVe2rfvwA033Fy57aef1tfp\n9U7Ub7/9QufOXbBagz8206c/xXnnDQSgqKiIV199mcmTb+bddz/E4XCc1LWKi4tO+LkxMTGsWvUN\nXm8FdvuhOaeLFy8kMjK0Jb+9Xi8VFRUnHIMQQoggy/5NxH45FlOLomjcXAyX1KITQoiGFFLCt2zZ\nsvqOo0HM35TDlxtC64H6LasEv25W2VYRMJi+eBuf/3bsc4zpmsqYbnX3CaZhmPzjHzNZtGg+gYCf\nq666lquuCvYqDRjQi0svvYIlSxbxpz9dw5gxl/Lii8/y22+/UFhYQOvWadx99/10796D0tJSnnji\nEX7++b9ERkbSu3df7rrrXux2OwA//bSO11+fTWbmXnr06MnDD08nOjq4VPbq1asqE7wjxcbGcu+9\nD3HVVZczf/4XjB8/EV3Xee+9fzJ//pdUVFTQv/8A7rjjbpzOKAzD4K23XmPFiqXk5eXhcrm45prr\nGTfuch544B5ycrJ5+OH7ufXWyTidTrxeL08//TirVn2NpmnccsskLrzw4hpjSU1teSDebxkyZBgA\nbrebDRt+45xzelYed7T4DvbYjR17IbNmvUFKSmqt91QIIUTNLIXbiP1iNKbFRtHYuRjR7cIdkhBC\nNDshDels0aLFUb9ORUcme8faXt9KS0tQVZVPP53HQw9NY/bsl8jNPTTE1OfzMnfuYi6/fAKzZwd7\nDD/44D8sWvQ13br14B//mAnAhx/+C1VV+fLLr3j77X+zdetmlixZWHme9evX8eKLs/j003lkZWUy\nZ85/Kvd9//1qzj23f60xWiwWevfuy6+//gLARx99wMqVK5g16w0+/vhzvN4KXnjhGSDY27Zy5XJe\neeU1Fi9eyS23TOLll5+nrKyMJ598lpSUVKZPf4orrpgIwK5dOznjjDOZO3cx1157Pc888wR+v7/W\nWEaMuIilS7+qfLxixVIGDBiEpmmV244W31tvvQ/AF198RadOZx71ngohhKjOUrSDmM9HAQrFY+di\nxHYId0hCCNEshdTDd9ZZZ1UO46xJUxnSeclZKVxyVmjDMUe/sZbsUm+17akuO69NOLuuQzsmTdO4\n/vqbsFgs9Ot3HpGRTrKyskhODr6eYcNGoGkamqZx001/IyIiAovFSlZWJi6Xi7y8PACczii2bt3C\n0qVf0bdvP956619V6ipeeeWfiYsLLpHdq1cfsrIyAdizZzfR0THExBy9VpLLFU1mZvA58+Z9wc03\nTyIlJRWAW2+9nQkTxvI///MgAweeT+/efYmPTyAvLxebzYbP56WkpITIyMhq523ZshXjxl0OwJAh\nw3n22acoLCyofP1HGjr0Qt5441U8HjdOZxSLFy/kxhtv5eOP/115zNHiO9LR7qkQQoiq1JJdxHwx\nGsXwUzRuPnpcp3CHJIQQzVZICd97771X5bGu6+zZs4d33nmHu+66q14CC7e/DWhXZQ4fQIRV5W8D\n2oUlnsjIyMq5cwCaZkXXD60gGR9/aGnr/Px8XnrpWXbtSqdt27a4XDGYZvB1/PGPV+H3+/i//3uf\nJ598lO7de3DffVNIS2sDBBO2g6xWDV33AMHhnP37DzhmnMXFRZUJVE5ONo89NpUnn5x22Dmt5ORk\nExMTw4svPsv69T+QkpJKx47BNwMH4zzSkXFB8OewNomJiXTp0o1vvvmaP/yhN7m5OXTv3qNKwne0\n+A7vCYSj31MhhBCHqKUZxH4+GsXvCSZ7CWeFOyQhhGjWQkr4+vTpU21bv379aN++PY8//jgjRoyo\n88DC7eDCLLO/3UVOqZcUl52/DWhX5wu21JXDO2CnTn2QsWMvY9asN1AUhYUL57Fz5w4Adu78nQsv\nvIRrr72B/Pw8XnrpOV544Rmef/6Vo55/9epvuPvu+496jGEYrFv3A3/60zUAJCQkct99U/jDH3oD\nwVU+MzP30qpVa5599ilM0+Dzzxdit9vJzs5m4cJ5J3EHqhs+/CKWLPmKwsIChg+/qNr+o8V3+HBZ\nOPo9FUIIEaS6M4n9fBSKt4jisV+iJ3YLd0hCCNHshZTw1SYuLo709PS6iqXRGdk5pdEmeEdTVubB\n4YhAURR27Urngw/eq6wnN3fuHDIz9zFt2hPExMRit9ur9BzWpKSkhPz8fNq3P63WYwoK9vOPf8zE\nZtO46KJLABg5chRvv/0Gbdu2JzY2ltdfn82KFUv5v//7jLIyNzabHYvFQnFxEbNmvQhQGaemaXg8\nnpO6D4MHD+Wll54jK2sfTz/9QrX9R4tP02xA8F5GRkYe9Z4KIYQAxZMTHMZZnkfxmM8JJJ8T7pCE\nEEIQYsL3ySefVNvmdrv58MMP6dFDVilsbO6990Fefvl5Zs9+haSkJC65ZAyvvz6b4uIibrrpNmbM\neJwrrhhLIBDgnHN6ct99U456vu+//45zz+1XbfvDD9+PxaICCi6Xi969+/LKK68REREshXD11dfh\n9/u5+ea/4HaX0qnTmcyY8SJWq5UbbriFxx6bysiRQ3C5XFx44cW0atWa3bvTSUtrw8iRo5gx4zEy\nM/fWOk/vWKKioujTpy+5uTm0adO22v6jxZeQkEC/fucxceKlzJjx4lHvqRBCNHdKeT6xX47B4t5H\n0eg5BFKrjwwSQggRHoppmsdcdnLIkCFVn6QoaJpGt27duPPOO2nVqlW9BRiKvLzSGrdnZ+8mNbX6\nG/2GYrGo6LrM8zrVNUQ7h/tnWQTFxkZSVFQW7jBEA2jKbW3f9jHONdNQ3Xsxolrj6TcVb6cJ9XY9\npaKA2M9HYynaTvGoT/C3HlRv16oPTbmtReiknZuP5tzWSUmuGreH1MO3fPnyOg1GCCGEEHXPvu1j\nXCsmowTKAbC4M3CtmAxQp0nf4UklqhUMg+LRTS/ZE0KI5iDkOXylpaV8+eWX7Ny5E03T6NChA6NH\nj64cvieEEEKI8HKumVaZ7B2kBMqJ+voOrPkbMDUnpi0KUzv45cS0uSr/bWguTM0JmrPqamCHOTKp\nxPBjWmyoFfvr++UJIYQ4ASElfL/++ivXXXcd8fHxdO7cGcMwWLx4MS+//DJvvPEGZ555ZkgX++KL\nL3jrrbdQFAWHw8FDDz1Et27deO2115gzZw66rjNmzBgmTZqEoigUFBRw7733kpmZiaqqPProo/Ts\n2fOkXrAQQghxqlLde2vcrvg9OH59FUWvXl+2JiZKMBmskhQGH2v7vqmeVOo+nGum1evQUSGEECcm\npITvoYceYsKECdx7772VBdh1XWf69OlMmTKlxkVdjrRz506eeeYZPvvsM5KTk1m5ciWTJ09m2rRp\nLFy4kM8++wyLxcINN9xAhw4duPjii5k2bRq9evXilltuYfPmzdx0000sXrwYh8MR8gs0TfOoReOF\naOxCmGYrhBAAGM6WWDz7qm+PSqPg2o2g+1H87gNfHhRfafB75TY3is+D4j9iuy94vFqWUy3ZO6i2\nZFMIIUR4hZTw7d69m5dffrlK4mSxWLjmmmu49NJLQ7qQzWbjscceIzk5GYCuXbuSn5/PokWLGDVq\nFJGRkQBcdtllSQjXnAAAIABJREFUfPnll4wYMYKvv/6aqVOnAtC5c2fatWvHqlWrQq77Z7FY8ft9\n2Gz2kI4XojHy+31YLCdVQUUI0RyYJoYzFdWzj8M/5jStDjz9gn9LsWiYljjMiLgTvkz8u12wuDOq\nbTeiWp/wOYUQQtSfkN5Fnn/++cybN4/JkydX2f7VV1/Rt2/fkC7UunVrWrcO/jEwTZMnn3ySIUOG\nkJuby4ABAyqPS01NJScnh8LCQgzDID4+vnJfSkoK2dnZ1c4dFWXHarVU266qKeTm5hAXl4Sm2cPS\n0xcsWyBOdfXRzqZp4vd7KSnJJyUlhejoyDq/hjg+FotKbKy0Q3PQFNta+fU9rLk/YnS+AvathZIM\niE5Dv+AxHF2vIvSxMUdnDn0cc/4tKIFDq+CZ1kjMoY83uXsGTbOtxfGTdm4+pK2rqzXhu/feeyv/\nres6s2bN4uuvv6Zbt26oqsq2bdv473//G3IP30FlZWXcf//9ZGdn8+abb3LnnXdWScRM00RVVQzD\nqJagmaaJxVI9sXO7a5uTYMXpjKWgIA9db/gi2YqiyHC8ZqA+29lisRIVFYthWJvtEsONSXNe6rm5\naWptrRanE7fodnwtz6N48OugHvG3si5fS+tx2C/wVS/90Hpc3V6ngTS1thYnRtq5+WjObX3cZRkO\nT6xiYmIqEzuvN5hcpaWlkZaWhq7rIQeRmZnJLbfcQocOHXjvvfeIiIigRYsW5ObmVh6Tm5tLamoq\nCQkJmKZJUVERsbGxlftSUo6vCLfD4cThcB7Xc+pKc/6Ba06knYUQYWUEiF56IygWSofVkOzVA2+n\nCbJAixBCNBG1JnxPPvlknV7I7XZz9dVXc+mllzJp0qTK7UOHDmXmzJlMmDABq9XKZ599xmWXXYbV\namXw4MF8/PHH3HTTTWzZsoXff/895CGkQgghRHMQ+eNzaNk/UDL8TQxXWrjDEUII0cjUmvC99NJL\nIZ/kjjvuOOYxH3zwAZmZmSxZsoQlS5ZUbn/nnXcYMWIEV1xxBX6/n6FDhzJu3DgApk6dypQpUxg1\nahSKojBjxgxcrpq7KoUQQojmxpq9jsh1T1HR8QrpcRNCNGt5/u1k+Nf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KsNotRMbVXK7h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\nyCF0dHTw5JNPct555xEMBvH5fFx44YUsWrQI27ZZvHgxF110EQCzZs1i8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      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932470a748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "albums_band = bands.merge(albums, how='outer', on='Band ID')\n",
    "albums_band = albums_band.loc[albums_band['Genre'].isin(genre_subsets.index)]\n",
    "albums_by_genre_year = albums_band.groupby([\"Year Released\", \"Genre\"])[\"Album ID\"].count().unstack(\"Genre\").fillna(0)\n",
    "albums_by_genre_year.drop(albums_by_genre_year.index[-1], inplace=True)\n",
    "\n",
    "\n",
    "sns.set_palette('Paired_r', n_colors = 7)\n",
    "plt.figure(figsize=(15,5))\n",
    "plt.plot(albums_by_genre_year, marker='o', linestyle='-')\n",
    "plt.legend(labels = list(albums_by_genre_year.columns), fontsize=13, loc=\"upper left\", frameon=True)\n",
    "plt.xlabel('Year', fontsize=14)\n",
    "plt.ylabel('Number of Albums Per Year', fontsize=14)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\"Death Metal\" is and always has been the most popular genre of Metal."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average album score by genre\n",
    "We only include albums with more than 10 reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BZs2aRVZWFs2aNcPFxaXCvCIiIiLVhUr1H8zhcLBr1y6GDBmC1WrFzc2NVatW0bBhQwAK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\nIiIiAVJTLSIiIiISIDXVIiIiIiIB+g8DGVo4LT/IngAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932cded400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "albums_band_review = albums_band.merge(reviews, how='outer', on='Album ID')\n",
    "albums_band_review = albums_band_review[np.isfinite(albums_band_review['Score'])]\n",
    "genre_review_counts = albums_band_review[['Genre', 'Review']].groupby('Genre').count()\n",
    "average_genre_score = albums_band_review[['Genre', 'Score']].groupby('Genre').mean()*100\n",
    "average_genre_score = pd.concat([average_genre_score, genre_review_counts], axis=1)\n",
    "average_genre_score.sort_values('Score', ascending=False, inplace=True)\n",
    "average_genre_score = average_genre_score[average_genre_score['Review'] > 10]\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "ax = sns.barplot(average_genre_score['Score'], average_genre_score.index, color=\"#00304e\")\n",
    "ax.set_ylabel(\" \")\n",
    "ax.set_yticklabels(labels=list(average_genre_score.index),fontsize=13)\n",
    "ax.set_xlim(70,81)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What albums are the most critically acclaimed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "average_album_score = reviews[['Album ID', 'Score']].groupby('Album ID').mean()*100\n",
    "reviews_per_album = reviews[['Album ID', 'Review ID']].groupby('Album ID').count()\n",
    "\n",
    "acclaimed_albums = average_album_score.join(reviews_per_album, how='outer')\n",
    "acclaimed_albums['Album ID'] = acclaimed_albums.index\n",
    "acclaimed_albums.columns = ['Score', 'Number of Reviews', 'Album ID']\n",
    "\n",
    "albums_band = bands.merge(albums, how='outer', on='Band ID')\n",
    "acclaimed_albums = acclaimed_albums.merge(albums_band, how='outer', on='Album ID')\n",
    "acclaimed_albums = acclaimed_albums[['Score', 'Number of Reviews', 'Album Title', 'Band Name', 'Genre']]\n",
    "acclaimed_albums = acclaimed_albums[acclaimed_albums['Number of Reviews'] > 10]\n",
    "acclaimed_albums.sort_values('Score', ascending=False, inplace=True)\n",
    "\n",
    "acclaimed_albums['Plot Text'] = acclaimed_albums['Album Title'] + ' (' + acclaimed_albums['Band Name'] + ')'\n",
    "top_20_acclaimed_albums = acclaimed_albums.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ibScJoii36tWrR/Xq1Tl79iwABw8exNHRkbZt23Lo0CHy8vLIzMzk3LlztG3blqysLIYM\nGUK9evU4cuQIgYGB/PLLL2zYsEGp848//mDXrl188803am0dOHCAlStXsmrVKg4cOMD169dfOt6W\nLVuipaXFuXPnuH//PoMHD6Zz584cO3YMPz8//Pz8OHjwIO3bt+fIkSNAwejc1atXOXHiBFCQ4Jw6\ndYp27doBsHPnTgYPHszx48dxdHRkzpw5aGlpKaNpoaGheHl5sXDhQgCioqI4efIkVlZWhc6xJOHh\n4bRp06bUI7GrV6/mwIED/Pzzz+zZs4f09HTmzZun7I+JiWHixIns2bNHGXnMzc3lyJEjeHh4MHXq\nVOLj44mIiCAiIoI7d+4wa9Ys5fjjx4+zfPlyIiIiqFChgrL9q6++4syZM5w5c4aIiAgMDAyYPHky\nAPPnz+fmzZts376d8PBwzp49S2BgYJF1Vq5cGQMDAxo3bszOnTtf6loJIYQQQrypJEEU5Zq9vT0n\nT54E4NChQ7Rt25ZGjRqhra3N+fPnOXPmDDVr1sTc3JxTp07x6NEjxo0bh66uLvXq1ePTTz9ly5Yt\nSn1OTk7o6+ujr6+v1k5UVBRubm40bNiQd9555y9PE61SpQrp6ens27ePmjVr4unpiY6ODs2bN6df\nv36Eh4djbW1NWloacXFxxMTEYGdnh4aGBrGxsRw7dowGDRpQrVo1AFq0aIGdnR26urq4uLhw8+bN\nItsdO3Yss2fPRktLi4SEBKpUqUJSUtJLxR4TE0OzZs1KXX7Tpk2MGjWKGjVqoKenh6+vL+Hh4cqI\nXc2aNbG1tVW71t26dUNXVxdNTU327NnDxIkTMTQ0xMDAgEmTJhEVFaXcE9i4cWPq1atXqK+eefz4\nMd7e3vTr14+uXbuSm5tLWFgYEydOxMDAgGrVqjF69GhCQ0OVY4qqs0mTJsp3TAghhBDibSf3IIpy\nzd7eng0bNnD58mXy8vJo2LAhAG3atOHo0aNkZWUp00vv3buHqakp2tr/+1rXqlWLxMRE5XP16tWL\nbCclJUWpGyhUT2nk5uby8OFDatasycmTJ6lVq5ba/lq1ahETE4OOjg729vYcPXqU69evK/dPnjhx\ngitXrtC+fXvlGCMjI+W9tra2Ml32z+7evctXX31FbGws7733HgYGBi8s+yKJiYkYGxuXuvydO3fw\n9fVFU/N/vzNpaWkp17uoa/2s/gcPHpCbm6t2jWrVqkVubi5379594fHP5OXlMX78eGrXro2Pjw9Q\n0IfZ2dkMGDBAKZefn09OTo6StBZVp4mJiTJKLYQQQgjxtpMEUZRrrVu3Ztq0aRw8eJC2bdsq2x0d\nHQkNDSUrKwsvLy+gYMQqKSmJnJwcJbmLj49XSwo0NDSKbMfExISEhATl871798jJyXmpWE+ePEle\nXh7169cnPj6e27dvq+1/PhZHR0cOHz7MrVu3mD9/PhUqVODo0aNcuHCBZcuWvVS7AOPGjePDDz9k\n/fr1aGhoEB4ezpUrV16qDg0NjZdahdXY2JgFCxZgY2MDQHZ2NnFxcZiZmSn1FXesjo4Ot2/fpkqV\nKkDB9dHS0sLQ0LDE4xcuXMjt27fZsGGDUs7IyAhtbW22bdumJJ6PHz/m/v376OjovLDOnJwctLS0\nSn3eQgghhBBvMpliKso1AwMD6taty4YNG9QSRHt7ey5dusSVK1do2bIlAM2aNaN69eosXryYrKws\nYmNjWb16NS4uLiW24+bmxpYtWzh37hyZmZksWrSo1DHm5+dz+vRpZs6ciZeXF/r6+jg6OpKSksK6\ndevIzs7m3LlzhIaGKrE4OjoSHR1NUlISDRo0oFWrVhw4cICcnBy1kczSSk9P55133lGmqgYFBSmj\nZqVVs2ZNkpOTS12+Z8+eBAQEkJycTFZWFt988w3Dhw8v1ciltrY2PXr0YOHChaSmppKWlsbChQtx\ncnKicuXKxR67efNmwsPDWbFihVpZHR0dunfvzqJFi3j06BFPnjxh+vTpfPHFF8XWl5ycjKmpaelO\nWgghhBDiDScJoij3HBwcuHv3Lq1bt1a26evr895779GkSRMqVqwIFCQIK1eu5OrVq9jb2zN48GD6\n9OnDxx9/XGIbdnZ2TJo0CR8fH+zt7TExMSl2sZa0tDRlFU0bGxtmzpyJp6enMt2xatWqrFq1ih07\ndmBra8v48eMZP348nTp1AgqmOpqbm2NlZYWGhga1a9fG0NBQWZzmZX355ZesXr0aS0tLRo0aRa9e\nvUhNTSU1NbXUddjZ2b3UVMvPPvuMFi1a0K9fP+zs7Lh48SIrV64s9WjctGnTMDMzo0ePHnTq1Alj\nY2Pmz59f4nEBAQE8ffqU3r17q61mmpSUxIwZM9DT06Nr1644Ojry9OnTEhfrOXfunNp3SwghhBDi\nbaaR/7I3Kgkh3kiJiYm4u7vz66+/Kkn3m+7+/ft0796dPXv2oKenp7avcvOOZRSVEEKI1+nG3rCy\nDuFfz8CgEmlpT8o6DPEcY+OiF/X7K2QEUQgBQI0aNXB2dmb79u1lHco/ZuPGjQwYMKBQciiEEEII\n8baSEUQhhOLBgwd4eXmxdu3aN34UMS0tDW9vb9asWaP2nMVnkpMflUFUr4f80lv+SJ+UT9Iv5Y/0\nSfkk/VL+vMoRREkQhRCiCJIgitdJ+qR8kn4pf6RPyifpl/JHppgKIYQQQgghhHjlJEEUQgghhBBC\nCAGAdlkHIIQQ5VEdZ/eyDkEIId56aTE7yzoEId46MoIohBBCCCGEEAKQBFG8Jvn5+dy+fbuswxAl\nSEtLIz09vch95b0P4+LiyjoEIYQQQog3jiSIr8inn36KSqVCpVLxwQcf0KRJE+XzjBkzOH78OLa2\ntq+kLQsLC5o3b67U36JFCzp16kRoaOhfqm///v04OTkVuW/GjBksWbLkpetcsGABwcHBAMTHx2Nh\nYcHjx4//UnzPS05OxtfXl1atWqFSqejSpQuBgYE8W4w3LCwMd/e/NzXw79Rx8eJFvL29sbGxwcrK\nCnd3dzZt2vS34nkZO3fuZMGCBWrbQkNDsbCwYMeOHYXKd+7cmYSEhCLrel19CJCQkMDUqVNp164d\nzZs3x97eHl9fX+Lj40t1/MWLF+nfv//fiiEnJ4eBAwdy//79v1WPEEIIIcSbRO5BfEVWrVqlvPfx\n8aF+/fqMHj1a2Xb8+PFX2l5oaCgNGjQAIDc3l8jISCZNmoSlpSX16tV7Ze18+eWXf+m41NRUDA0N\nX1kcz4wdO5Z69eqxZ88e9PT0uHz5MiNGjEBbW5tPPvnklbf3Mk6cOMFnn33G8OHDmTdvHlWrVuXk\nyZPMmDGDy5cvM3Xq1Nfa/qNHj1i6dGmhHwo2btxInz59CA4OpmvXrmr70tLSXljf6+rDuLg4+vTp\nQ48ePVi3bh1mZmYkJyfz008/MXDgQCIjI6lcuXKxdTx69Ijs7Oy/FYe2tjaDBw9m3rx5LFq06G/V\nJYQQQgjxppARxH9Qfn4+33zzDW3atKFVq1asXr1a2ZeQkIC3tze2trZ06tSJzZs3l7peLS0tXF1d\n0dPT4+rVq0DBH/4TJkzAzs4OJycntVG2zMxMpk2bhpWVFU5OTsUmr5MnT8bPzw8AT09PlixZgpub\nG5aWlgwcOLDIEZ8ff/yR7du3s27dOnx8fJTta9asoUOHDlhZWfH1118r24uL9c/Onz9Ply5d0NfX\nR0NDg4YNG/LFF1+go6NTqGxSUhIdOnRgxYoVbNmyhc6dO6vtHz16NEFBQS8892cWLlyIg4MDdnZ2\nDB069IVTG2fNmsWIESMYNmwYRkZGaGlp0apVKwIDAwkJCeE///kPAE5OTuzfv185zs/Pj8mTJwMF\n13vs2LG0b98eFxcXsrKymDJlCra2tjg4OODj40NqamqR7f/888+0atUKff3/PQfn0qVL3Lp1iylT\npnD58mUuXbqk7Hs2Stq3b1/27t2rVtfr7EM/Pz8cHByYPn065ubmaGpqYmpqysSJE+nZs6dyfnFx\ncXh7e+Po6EizZs3w8PAgNjaWe/fu4eXlRVpaGiqVitTUVDIyMpg7dy5t2rTBwcEBPz8/srKygIJ/\nW4MGDcLa2hpnZ2cWLFigxObk5MTJkye5fv16kbEKIYQQQrxtJEH8Bz148ABNTU0OHDiAn58fCxYs\nIDExkdzcXLy9valfvz6HDx/G39+fJUuWcOzYsVLVm5WVxU8//UR2djYtWrQAYOLEiWhoaLBv3z7W\nrl3Ltm3bCAsLA2Dp0qX8v//3/9izZw8hISEcOXKk1OcQGRnJsmXLOHjwIPn5+QQGBhYqM2TIEFxc\nXPD09MTf31/ZfuvWLXbs2EFwcDDBwcGcOnWqxFj/rFu3bvj6+rJgwQIOHjzIw4cPcXZ2xtPTU63c\n/fv3GTx4ML169WLEiBF07NiRxMRELl68CEB6ejqHDh2iR48exZ5vdHQ0O3bsYPv27Rw+fJgaNWoQ\nEBBQqNytW7eIjY2lW7duhfbVqVMHlUpVKAl7kZMnT7JhwwZCQkLYunUrsbGx7N+/nz179vDkyRPW\nrl1b5HGbNm0qlAT/8ssv9OzZEz09Pdzc3JQpo4ByjUNDQ3F2dlY77nX1YU5ODgcOHKBv376F9mlo\naPD555/z7rvvAjBt2jTq1q3Lvn37OHbsGIaGhqxcuZJq1aoRFBSEgYEBZ86cwdDQED8/P65du8a2\nbdvYtm0bFy5cYOXKlQAsWbKEBg0acOLECYKDg4mMjCQ6OhoATU1NOnTowJYtW4rvFCGEEEKIt4Qk\niP8gHR0dRo8ejZaWFo6OjlSuXJn4+HjOnz/PnTt3GDt2LLq6ujRs2BAPD49i7yn08PDAysqKpk2b\nYmVlxYkTJ1izZg01atQgOTmZQ4cOMWXKFCpVqsS7777L0KFDlfp27NiBl5cXRkZG1KhRAy8vr1Kf\ng6urK+bm5ujr69OxY0du3LhR6mPHjBmDrq4ujRo14r333iM+Pr7EWP9s7ty5jBs3jsuXLzNmzBha\ntWqFl5eX2kjm48eP+eSTT2jatCmjRo0CQE9PDycnJ6KiogDYvXs3zZo1o2bNmsXGrKenx7179wgN\nDeXWrVvMmTOn0D1+ACkpKQBUr169yHqMjY1JTk4u+SIBtra2mJqaoq+vj76+Pjdv3mTLli2kpqYS\nGBjImDFjCh1z9+5dbt68SdOmTZVtGRkZRERE0K9fP6DgOxMREcGDBw9KFUdR/m4fpqamkp2djamp\nqbItJCQEa2trrK2tadGiBStWrADg66+/xsfHh9zcXBISEjAwMCApKalQnfn5+YSFheHr64uhoSFG\nRkaMHj2ajRs3AqCvr8/JkyfZtWsXlSpVYv/+/bRu3Vo5vkmTJpw4ceIvXxMhhBBCiDeJ3IP4D6pc\nuTLa2v+75Do6OuTm5nL37l3S09Np2bKlsi83N5fGjRu/sK4NGzbQoEED4uLiGDVqFIaGhjRr1gyA\nO3fukJ+fT8eOHZXyeXl5GBgYAAXJzPN/oJuZmZX6HIyMjJT32traL5xGWJQqVaoo75+de0mx/pmW\nlha9e/emd+/e5OTkcP78eb799ltGjBjBtm3bALhx4wb29vYcPnxY7T46V1dX5syZg6+vLxEREbi4\nuJQYc9OmTZk/fz4hISH4+/tjZmbGlClTaNeunVq5Z4lhYmIi5ubmhepJSEjAwcGhxPagIJl8pkuX\nLty/f5+wsDC++uorGjRowJdffqn09TOJiYlUqlQJPT09ZVtUVBSPHj1i0KBByraMjAw2bdrE0KFD\nSxXLn/3dPjQwMEBLS4vk5GTee+89AD766CM++ugjACUhBLh27RoLFy4kKSmJ999/Hw0NjSK/b/fv\n3ycjIwNPT080NDSAgqQxOzubzMxMJkyYgL+/P4sXL2b8+PG0bduWuXPnKn1mbGxcZOIphBBCCPE2\nkgSxHDAxMcHU1JQDBw4o21JSUkqVfJmbm7NixQp69uzJu+++y2effYaxsTHa2tocPXoUXV1doGB6\n67MVKE1MTEhISKBJkyYAZfrHcUmxPu/MmTN8+umnHDp0SEm2VSoVEyZMoE+fPkpi0aBBA3744QeG\nDh3K/PnzlRE/BwcHnjx5QnR0NKdPny7V6qx37tyhbt26BAcH8/jxY9avX8/nn3/OqVOn0NLSUsrV\nrl2bBg0asGXLFrV79gCuXr3KH3/8wYwZM4CCaY3PL7Dy54ViniU5UJDstmrVio8++ojU1FSWL1/O\nxIkT2blzZ6Fj/vx92bhxI74IXQU3AAAgAElEQVS+vri5uSnboqKiWLt2LUOGDEFT89VMIHiZPtTR\n0aFNmzZs3rxZ7QeRP8vKymLUqFHMnz+fLl26ALBs2bIi75c1MDBAR0eH8PBwJTl/8uQJKSkpVKhQ\ngbNnz+Ll5cWkSZO4desWU6dOxd/fX1mAKTc395VdCyGEEEKIfzv5q6gcaN68ORUrVmTVqlVkZ2eT\nmJjIkCFDWL9+famOfzaqtXz5ci5dukTNmjWxsrJi4cKFZGRkkJaWho+Pj5IQubq6smLFCpKSkkhO\nTi7VQi0vS1dX94XP13teSbE+r0mTJhgbGzNt2jTl+XyJiYn89NNPtG3bVknYni1YM3PmTHbt2sXh\nw4eV7V27duXrr7/G3t6eqlWrlhjfuXPnGD58OHFxcVSuXJkqVapQpUoVteTwmdmzZ7NmzRoCAwNJ\nTU0lKyuL6OhoRowYQb9+/ZQR4Tp16rBjxw4yMjK4ePEiv/766wvb37dvH+PHjyclJYWqVatSuXLl\nIkfmatWqxdOnT3n06BFQkJSeP38ed3d3jI2NlZe7uzvJycnKjxE6Ojov7KfX0YcAU6dO5eDBg8yd\nO1fpx+TkZFasWMH+/fupXr26Mvr3zjvvAHD27Fk2bNigJNa6urpkZWWRlZWFlpYWLi4uLFq0iIcP\nH/LkyRNmzJihLPzz3XffsWjRIjIzM6lWrRpaWlpqq7MmJydTo0aNEs9TCCGEEOJtIAliOaCjo0Ng\nYCAnTpzAwcEBd3d3bG1tGTlyZKnrcHd3p2XLlnzxxRfk5uayePFi7t27h5OTE507d8bExISZM2cC\nMHLkSKytrenRowe9e/dWux/rVencuTO7du0q1VTG4mJ9no6ODmvWrKFixYp4eHjQvHlz+vTpg76+\nfpGPKahduzbe3t7MnDlTGc1ycXHh0qVLpZpeCgVTPN3d3enfvz8qlYqNGzeqLdryPEtLS9avX8/v\nv/9O165dsbW1ZeHChQwbNkwZPQQYP3488fHx2NnZMW/evGKfuTho0CCaNWuGi4sLVlZWnD59mvnz\n5xcqV61aNRo0aMDZs2eBgsVpWrVqpTYlGArux3N2dlZ+fHB3d2fIkCFFLtLyOvoQCvpl+/btyvmp\nVCpcXFy4cOECgYGB9O/fn8qVKzN79mxltd3Zs2fj4eHBzZs3ycnJwcLCgvfffx9bW1tu3rzJ1KlT\nMTQ0pHv37jg6OpKenq4kqLNmzeLu3bs4ODjQrl07TExMGD58uBLPuXPnsLOzK/EchRBCCCHeBhr5\nL3MTmRD/cklJSXTv3p0jR45QoUKFsg7nlQoMDCQ+Pv4vP7vybZSTk4OTkxNr166lTp06avsqN+9Y\n9EFCCCH+MWkxO0lLe1LWYYg/MTCoJP1Szhgb65dcqJRkBFG8FfLy8rhy5QpLly7F1dX1jUsOoWCx\nl6NHj/Lw4cOyDuVfY/fu3dja2hZKDoUQQggh3lYygijeCvn5+djZ2VGjRg1Wr15NtWrVyjqk1yIq\nKorz588zadKksg6l3MvJycHT05Nly5YV+X1ITn5UBlG9HvJLb/kjfVI+Sb+UP9In5ZP0S/nzKkcQ\nJUEUQogiSIIoXifpk/JJ+qX8kT4pn6Rfyh+ZYiqEEEIIIYQQ4pWTBFEIIYQQQgghBADaZR2AEEKU\nR3WcX/z4ESGEEIXd2BtW1iEIIV4BGUEUQgghhBBCCAFIgijKubS0NNLT08s6DPEa/dN9HBcX94+1\nJYQQQgjxbyMJ4lvEwsKCK1euFNru5OTE/v37yyCiknXu3JmEhAQAVq5cyYQJE15rey+6RgCenp4E\nBwe/dJ2enp40adIElUqlvHr16sXu3bv/brjl0s6dO1mwYIHattDQUCwsLNixY0eh8s/3cUBAAD4+\nPn+pXZVKRWxsbLFl9u3bx9ixY5XP3t7eJR4jhBBCCPE2kXsQRbmWlpamvPf29i7DSP6eyZMnM3Dg\nQOXz7t27GTduHFu2bKF+/fplGNmr9ejRI5YuXUpoaKja9o0bN9KnTx+Cg4Pp2rWr2r7n+/jvOHPm\nTIllHjx4QF5envJ5zJgxTJ8+nZCQkFcSgxBCCCHEv52MIAo1np6eLFmyBDc3NywtLRk4cCDx8fEA\n5ObmsnjxYmxtbXFwcGDNmjVYWFgAcPz4cWxtbdXqsrW15fjx4wAkJCTg7e2Nra0tnTp1YvPmzUq5\no0eP4uLigrW1NS4uLmzduhUAd/eCRUL69u3L3r171UaXHj9+zOzZs7G3t8fe3p6pU6fy6FHBc+sC\nAgLw9fVl+PDhqFQqunXrxm+//aa0t3btWlxcXLCysqJ169YEBASoxR0REYGTkxNt27bF39+f3Nzc\nQtcpIyODuXPn0qZNGxwcHPDz8yMrK6vU17lTp07o6ekRGxtLfHw8VlZWTJ48GWtra7Zu3Vps/QkJ\nCQwaNAhra2ucnZ1ZsGABzx5nWtx1Lq5v8/LyWLZsGW3atMHa2poRI0aQmppaYp1/9vPPP9OqVSv0\n9f/3LJ5Lly5x69YtpkyZwuXLl7l06ZKy7899DJCamoqPjw8tW7akY8eOHDlyRCl/8uRJevfujbW1\nNX379uX3339X9j0/+rtw4UIcHByws7Nj6NChxMXF8fvvvzNz5kz+85//YG9vD0CjRo3IyckhOjq6\n1H0nhBBCCPEmkwRRFBIZGcmyZcs4ePAg+fn5BAYGAhASEkJUVBSbNm1i27ZtpZ4imZubi7e3N/Xr\n1+fw4cP4+/uzZMkSjh07BsCUKVMYNWoUMTExfPHFF8yaNYv09HTCwgpWQwsNDcXZ2VmtzhkzZnDt\n2jW2b99OVFQUKSkpzJgxQ9m/c+dOBg8ezPHjx3F0dGTOnDkAxMTEsHLlSgICAjh16hT+/v4sX76c\nmzdvKseeOXOGsLAw1q9fz9atW4tMiPz8/Lh27Rrbtm1j27ZtXLhwgZUrV5bqemRmZhIaGsrTp09p\n3rw5AOnp6ZiZmXH06FE6depUbP1LliyhQYMGnDhxguDgYCIjI4mOji7xOsOL+/aXX34hPDycNWvW\ncPToUd555x3mzp1bqjqft2nTJjp37qy27ZdffqFnz57o6enh5uamNk23qD4+ffo0vXr14tixY3Tp\n0oXZs2cDBYnq8OHD+eyzzzh27BiffPIJXl5ehUYgo6Oj2bFjB9u3b+fw4cPUqFGDgIAAmjVrxuzZ\ns2nUqJFa0tm5c2c2bdpUqr4TQgghhHjTSYIoCnF1dcXc3Bx9fX06duzIjRs3ANixYweenp6Ym5tj\nZGSkdi9Xcc6fP8+dO3cYO3Ysurq6NGzYEA8PD2Uaor6+PhEREURHR2NlZcWpU6fQ09N7YX0ZGRns\n2rWLCRMmYGRkRNWqVZk0aRI7duzg6dOnALRo0QI7Ozt0dXVxcXFREsDGjRsTFhZGnTp1SElJITs7\nm4oVK3L37l2l/nHjxmFgYIC5uTmenp5ERkaqtZ+fn09YWBi+vr4YGhpiZGTE6NGj2bhx4wtjXrhw\nIdbW1lhbW+Pg4MDmzZvx9/enZs2aShkXFxd0dXWpWLFisfXr6+tz8uRJdu3aRaVKldi/fz+tW7cu\n8TrDi/s2MjIST09P6tati66uLlOnTsXb27tUdT5z9+5dbt68SdOmTdX6KiIign79+gHg4eFBREQE\nDx48eOG1sra2pn379mhqatKlSxdllDMiIgJbW1ucnZ3R1tama9euNGjQgF27dqkdr6enx7179wgN\nDeXWrVvMmTOn0D2Rz2vSpAknTpx44X4hhBBCiLeJ3IP4FtHR0SlyumROTg66urrKZyMjI+W9tra2\nMn3x/v371KhRQ9n3f//3f6VqNyEhgfT0dFq2bKlsy83NpXHjxgB89913fPvtt4wbN46MjAw+/PBD\nxo8fj46OTpH1PXz4kOzsbGrVqqVsMzMzIz8/X0n0XnQOmpqarFixgl27dlGtWjWaNGkCoHZf2vP1\n1qhRg+TkZLX279+/T0ZGBp6enmhoaAAFSWN2djaZmZlUqFChUMwTJkxQuwexKNWrVy9V/RMmTMDf\n35/Fixczfvx42rZty9y5c0u8zsVdl5SUFLW+NTIywsjIiKioqBLrfCYxMZFKlSqpJfdRUVE8evSI\nQYMGKdsyMjLYtGkTQ4cOLfI6VK1aVXn//Hc2ISGBw4cPY21trezPycnByspK7fimTZsyf/58QkJC\n8Pf3x8zMjClTptCuXbsi2zM2NiYlJYXc3Fy0tLSKLCOEEEII8baQBPEtYmpqyu3bt2nUqJGy7cmT\nJ9y7d08tOXgRMzMzZbVJQG3UTUtLi+zsbOVzdnY2jx8/BsDExARTU1MOHDig7E9JSSE/P5+srCxu\n3brFokWLyM/P5+zZs4wcOZKmTZvSvXv3IuOoXr06urq63L59W0l44uPj0dTUxNDQsNhz+PHHH7ly\n5Qp79+5FX1+f7OxsoqKi1MqkpKRgamoKFCQlzyeMAAYGBujo6BAeHo65uTlQcB1TUlKKTA5L61ky\nWFL9Z8+excvLi0mTJnHr1i2mTp2Kv78/rq6uL7zOJTE1NSUpKUn5HBcXx9atW2nVqlWp69TQ0Ci0\nfePGjfj6+uLm5qZsi4qKYu3atQwZMgRNzdJPYjA2NqZbt25qo4FxcXGF+vzOnTvUrVuX4OBgHj9+\nzPr16/n88885depUkfXm5uaioaGhXH8hhBBCiLeZTDF9i3Tr1o1ly5Zx/fp1oGCkat68eVhYWFCv\nXr0Sj+/bty9r1qwhNjaW9PR0/P39lX21a9fm6dOn7Nmzh5ycHIKCgsjJyQGgefPmVKxYkVWrVpGd\nnU1iYiJDhgxh/fr1QMGUzmdTFk1MTNDQ0MDAwAAoGEH68zPyNDU1cXV1ZdGiRdy/f58HDx6wYMEC\nHB0dqVKlSrHnkJ6ejo6ODjo6Ojx+/Bg/Pz+ys7OVWAG+/fZbHj58yLVr11i7di29e/dWq0NLSwsX\nFxcWLVrEw4cPefLkCTNmzGDy5MklXsPSKKn+7777jkWLFpGZmUm1atXQ0tLC0NCwxOtcHBcXF4KD\ng7l16xaZmZn4+/tz48aNl6qzVq1aPH36VFks6OrVq5w/fx53d3eMjY2Vl7u7O8nJyUrSWVQfF6V7\n9+7s37+f6Oho8vPzOXXqFK6urpw/f16t3Llz5xg+fDhxcXFUrlyZKlWqUKVKFbS0tNDV1eXx48dq\niWxycjImJiYvlawKIYQQQryp5C+it8jo0aNp164dn376KSqViu7du5ORkaEsVFKSLl268Mknn/Dp\np5/SvXt3ZXQLChK7CRMm8NVXX9G6dWvS09P54IMPgIIEIDAwkBMnTuDg4IC7uzu2traMHDkSXV1d\n/P39CQkJwdLSkg8//BBPT09llUl3d3eGDBnCli1b1GKZMmUKderUwdXVFWdnZwwNDYu9z+yZIUOG\noK2tjZ2dHZ07dyYrKwtLS0u1Z+E1adKETp06MWTIED7++ONCj2UAmDp1KoaGhnTv3h1HR0fS09NZ\nsmRJqa5jaRRX/6xZs7h79y4ODg60a9cOExMThg8fXux1Lknv3r3p3bs3gwcPpk2bNuTk5DBjxoyX\nqrNatWo0aNCAs2fPAgWL07Rq1UptWisU3EPp7OysJJkv6uM/q1OnDkuXLmXhwoVYWVkxadIkpkyZ\ngp2dnVq5Ll264O7uTv/+/VGpVGzcuFH5McPGxkb5b2ZmJlCQUP65DiGEEEKIt5VGfmnmnwlRhCtX\nruDi4sLly5fLOhRRTgQGBhIfH8+XX35Z1qGUmru7OxMmTCiUJFZu3rGMIhJCiH+nG3vDXnmdBgaV\nSEt78srrFX+P9Ev5Y2ysX3KhUpIRRCHEK/PRRx9x9OhRHj58WNahlMrvv/9OxYoVZQRRCCGEEOK/\nZJEaIcQro6enx7hx4/juu++YNGlSWYdTooCAgBeOdr6OX8LLivzSW/5In5RP0i9CCCFTTIUQokjJ\nyY/KOoRXRv7oLX+kT8on6ZfyR/qkfJJ+KX9kiqkQQgghhBBCiFdOEkQhhBBCCCGEEIDcgyiEEEWq\n4+xe1iEIIUSZepPuxRZClJ6MIAohhBBCCCGEACRBFOKtERcXV9YhCCGEEEKIck4SRFEmLCwsaN68\nOSqVSu01YcIEoODxAz4+PmUW31dffYVKpcLNza3QvpiYGJycnP5SvatWrWL9+vUAODk5sX///pc6\n/vjx49ja2r50uxcvXqR///7KZ09PT4KDg1+6nr8iLy8PJycnevToUWjflStX6NSpE5aWlnz//fdY\nWFjw+PHjfyQugOnTp3Ps2LF/rD0hhBBCiPJO7kEUZSY0NJQGDRqUdRhFCgkJYdWqVUU+QN3a2ppf\nf/31peuMi4tj27ZtbNmy5VWE+FIePXpEdnb2P94uwOHDh6lVqxZ3794lOjpa7Zru27cPExMTdu3a\nxe3bt1m8ePE/GpuPjw9DhgwhLCwMXV3df7RtIYQQQojySEYQRbmWnp5O8+bNuXr1qrJt06ZN9OvX\nD4CEhAS8vb2xtbWlU6dObN68WSnn6enJkiVLcHNzw9LSkoEDBxIfH6/sDwkJoVOnTtja2jJy5EiS\nk5PJzc1FpVKRk5ODt7c3QUFBTJ48mbFjx9K+fXtcXFyIjo5WRvEePnzIiBEjaNmyJe3bt2fq1Klk\nZmYWeS5BQUG4uLigpaVV7DmfOHECS0tLtXq+/vprZs2aVeja9O7dm2nTppGfn09cXBze3t44OjrS\nrFkzPDw8iI2N5d69e3h5eZGWloZKpSI1NRWAS5cu0a9fP1QqFf379+f27dvFXptn1q5di4uLC1ZW\nVrRu3ZqAgIBiz2fjxo04Ozvj7u6ujJ4CLF++nOXLl3P69GlsbGwKHRcZGYm7uzs2Nja0bNmSGTNm\n8OyxrU5OTqxZs4ZOnTrRokULZsyYwcGDB+nYsSNWVlbMmzdPqae474ixsTH169dn69atxZ6DEEII\nIcTbQhJEUa7p6enh5OREZGSksi0iIgI3Nzdyc3Px9vamfv36HD58GH9/f5YsWaI2ZTAyMpJly5Zx\n8OBB8vPzCQwMBGDHjh0EBgayfPlyDh06hLm5OWPHjkVLS4szZ84ABSOcXl5eAJw8eZINGzYQEhKC\npub//tn88MMPaGlp8dtvvxEeHs4ff/zBtm3bCp1HVlYW27dvp0uXLiWes42NDVWrVuXQoUNAwRTN\nqKgoXFxclDJPnz5l+PDhNGzYkDlz5qChocG0adOoW7cu+/bt49ixYxgaGrJy5UqqVatGUFAQBgYG\nnDlzBkNDQwAOHTrEokWLOHr0KNra2nz33XfFXhsomF67cuVKAgICOHXqFP7+/ixfvpybN28WeS53\n797l6NGjuLq60rt3bw4dOkRCQgIAI0eOZPjw4Tg7OxMTE6N2XHx8PNOmTWPWrFmcPHmSkJAQIiIi\n1Pp2586dhIaGsnnzZjZt2sSqVavYvHkz69evZ/369Vy9erVU35HOnTurJY1CCCGEEG8zSRBFmfHw\n8MDa2lrttW/fvkLlevbsyY4dOwBITk7m9OnTdO3alfPnz3Pnzh3Gjh2Lrq4uDRs2xMPDg9DQUOVY\nV1dXzM3N0dfXp2PHjty4cQMoGIUcPHgw9evXp0KFCowbN45z585x/fr1ImO1tbXF1NQUfX19te36\n+vr88ccfREZGkp2dTVhYGH379i10/B9//IGuri7m5uYlXhcNDQ26d+9OVFQUUJCcamtrY2lpCRQk\njKNGjUJTU5O5c+eioaEBFIwy+vj4kJubS0JCAgYGBiQlJb2wnQ8//JDatWvzzjvv4OTkpIyuFndt\nGjduTFhYGHXq1CElJYXs7GwqVqzI3bt3i2wjLCyMdu3aYWRkhLGxMe3bt+fnn38u8RqYmJiwfft2\nmjVrRmpqKmlpaVStWlXtfPr160fVqlWpV68exsbG9OnThypVqtCwYUOMjY1JSEgo1XekSZMmnD9/\nnoyMjBLjEkIIIYR408k9iKLMbNiwoVT3IDo4OJCens6FCxeIiYnB3t4eIyMjjh07Rnp6Oi1btlTK\n5ubm0rhxY+WzkZGR8l5bW1uZonjnzh2WLl3KsmXLlP0aGhokJCTw3nvvFYrB2Ni4yNgGDx5MVlYW\nP/zwA1988QVWVlbMnTuXOnXqqJVLTEzExMSkxHN9xtXVlQ8//JCnT58SERGBi4uLkgg+fPiQvLw8\nzp8/z40bN5R4r127xsKFC0lKSuL9999HQ0NDOd+iVK1aVXmvo6NDbm4uUPy1qVWrFitWrGDXrl1U\nq1aNJk2aAAVJ65/l5+ezadMm7t+/j729PVAw8qmrq8uoUaOoUKHCC2PT1tYmNDSUTZs2UalSJT74\n4AOys7PV2nk+fi0tLapUqaJ81tTUJC8vj4SEhBK/IyYmJuTk5JCcnFyqBF4IIYQQ4k0mCaIo97S0\ntOjevTs7d+4kJiaGwYMHAwV/2JuamnLgwAGlbEpKSrFJ0TPGxsZ88skn9OnTR9kWGxv7wgThWXL2\nZ1evXsXNzY3PPvuMpKQk5s2bx5w5c1i9enWh44tKol6kQYMGmJubc/DgQfbu3cu6deuUfVWqVGH1\n6tXMmjWL6dOns27dOrKzsxk1ahTz589XprEuW7aM48ePl7rNZ4q7Nj/88ANXrlxh79696Ovrk52d\nrYx0/tmRI0d4+vQpO3fuVLt+ffr0Ue4vfJHIyEiioqIIDw9XkvMOHTqolXlRnzyvNN+RZ4lxSfeG\nCiGEEEK8DWSKqfhX6NmzJ9u3b+fatWvKIyaaN29OxYoVWbVqFdnZ2SQmJjJkyBC1hVBepFevXvz4\n44/cvHmTvLw81q1bR79+/Xj69OlLxbVx40ZmzpxJeno6hoaGVKxYEQMDg0LlatWqpbbQyzNpaWkk\nJiYqr+fLuLq68t1332Fqasr777+vbNfU1ERTU5Px48dz7do1fvnlF7Kzs8nMzOSdd94B4OzZs2zY\nsEFZuVRXV5esrCyysrL+1rVJT09HR0cHHR0dHj9+jJ+fH9nZ2eTk5BR5bbp27YqJiQnGxsbKy83N\nrcRHbKSnp6Otra3EHRQURHx8fJHtFKc035G7d++ira1N9erVX6puIYQQQog3kYwgijLTt29ftQVf\nAOWRB3/2wQcfUKVKFdq2bas8jkBHR4fAwEDmzp1LUFAQWlpadOvWjZEjR5bYtpubG2lpaXh5eZGS\nkkLdunX5/vvv1aYtlsbYsWOZPn06HTp0IDs7m5YtWzJ37twi44eCaaB169ZVtk+ePFmtnKmpqbI4\nTY8ePfjmm2/w9fUtsu2qVasyefJkZs+eTfv27Zk9ezbTpk3jyZMn1K5dGw8PD9avX09OTg4WFha8\n//772NraEh4e/pevzZAhQ/D19cXOzo7KlSvj5OSEpaUlsbGxyjRSgHv37vHrr78WmQj27NmT77//\nXlkMqCi9evUiOjqa9u3bU7FiRWxsbOjYsSOxsbHFxv5npfmOnDt3DisrK3nMhRBCCCEEoJFfmvl4\nQoi/bebMmZiZmTFs2LBSlc/KyqJ169ZERkZiamr6mqN7e/n4+NC2bVu1KbUAlZt3LKOIhBCifLix\nN6ysQ8DAoBJpaU/KOgzxJ9Iv5Y+xsX7JhUpJppgK8Q8ZNmwY4eHhpZomGRsby7Jly7CyspLk8DVK\nSkriypUruLm5lXUoQgghhBDlgowgCvEPCgwMpFKlSgwcOLDYcu7u7jx8+JDAwEC1Kani1Zo6dSo9\nevTAzs6u0L7k5EdlENHrIb/0lj/SJ+WT9Ev5I31SPkm/lD+vcgRREkQhhCiCJIjidZI+KZ+kX8of\n6ZPySfql/JEppkIIIYQQQgghXjlJEIUQQgghhBBCAPKYCyGEKFIdZ/eyDkEIIf5R5WHVUiFE2ZMR\nRCGEEEIIIYQQgCSIQgghhBBCCCH+SxJEIcRrFxcX91rKCiGEEEKIV0sSxH8JCwsLmjdvjkqlokWL\nFjg4ODBjxgwePHhQ1qGVypUrV+jUqROWlpZERESo7QsLC6NRo0aoVCrl/FxdXQkNDS2jaAs7fvw4\ntra2r6XunJwcFi9ejJOTEy1atKBNmzavrG89PT0JDg5+6eOys7MZMGAAKSkpRZ77nTt36NSpE59/\n/jnZ2dnF1nXx4kX69+9fqnZfpmxxtm3bxoABA0osFxcXx6effoo87UcIIYQQooAkiP8ioaGhnDlz\nhrNnzxIaGkpSUhLDhg0jLy+vrEMr0b59+zAxMeHUqVP06NGj0P5GjRpx5swZzpw5w+nTp5k8eTLf\nfPMNISEhZRDtP2vFihUcP36cdevWcfbsWTZt2sSdO3eYNGlSmcX0ww8/YGdnR/Xq1Qvti4uLY8CA\nAbRq1YrFixejo6NTbF2PHj0qMYn8K2WL4+rqyvr160ssZ25uTt26ddm0adPfblMIIYQQ4k0gCeK/\nVM2aNVm8eDFXr17lwIEDQMEf7t7e3jg6OtKsWTM8PDyIjY0FICAgAF9fX4YPH45KpaJbt2789ttv\nSn27du2ie/fuqFQq+vTpw4ULFwDIyMhg7ty5tGnTBgcHB/z8/MjKyioypps3bzJ8+HBsbGzo0KED\nQUFB5Ofns3z5cpYvX87p06exsbEp8dw0NTVp3bo1kyZNIiAgQEmAL1++jKenJ9bW1ri4uHDw4EHl\nmDt37uDt7Y2lpSVt2rThxx9/VPbt3r2bHj16YG1tzccff8z169cBiI+Px9bWlh9//BE7OztsbW0J\nDQ3l+++/p1WrVtjb27N9+3alnvz8fPz8/LCzs6Nr167s3LlT2ZeQkIC3tze2trZ06tSJzZs3K/s8\nPT2ZPHkyrVu3ZtiwYYXO9/z587Ru3RozMzMATE1NmTJlCqampkqZI0eO4O7ujqWlJW5ubmrnbmFh\nwZUrV5TPPj4+BAQEFGrn6NGjuLi4KNdv69atRV7/J0+e8NNPP9GvX79C+65fv87AgQPp2rUrX375\nJZqaBf8LedF37969e3h5eZGWloZKpSI1NfWlyqakpDB+/HhsbW1xdHRkwYIFyvdv8uTJzJ07l48+\n+giVSoW7uzt//PEHUJZdX1kAACAASURBVDAq7e5esAppRkYGs2bNomPH/8/encdVVa2PH/8wiqCJ\nGCKYZmjpLVMQBA6IFKIgAallWkpimppaDoATDuGAOaGCJNchc8zEcAgVByQiAxTE8Zb2Q0WRQQZJ\nEBE48vuDr/t6LpZYFqbP+/Xylfvstdd+1tq7Os9Za6/dEysrK3r16sWhQ4eUNg0YMICVK1dSVVV1\n3/4QQgghhHiaSIL4D2ZkZESXLl1IS0sDYPr06VhaWhIXF0dycjJNmzYlMjJSKR8bG4ufnx8pKSm4\nuLgwZ84cAH755RcCAwOZPHkyaWlp9O3bl7Fjx6JWq1mwYAEXLlxg9+7d7N69mzNnzmjUeVdFRQVD\nhw6lbdu2HDlyhFWrVvH111+zdetWxowZw8iRI3FzcyM1NbXO7XN2dqaoqIiLFy9SWlrKsGHD8PDw\nIDk5menTpxMQEKAke+PGjcPU1JQjR46wadMm1qxZww8//MCpU6eYNm0awcHBJCUl8frrrzNy5Ehl\nlKq4uJirV6/y/fff4+/vz6xZsygqKiIxMZExY8Ywd+5cJZ67Uz4TEhKYPn06gYGBZGRkoFarGTVq\nFC+++CKJiYmEhYWxdOlSkpOTlWPPnj3L/v37WbJkSa129u7dmzVr1jB16lT27NlDbm4ulpaWBAcH\nK9fno48+YtSoURw9epSJEycybtw4zp07V+e+BJg6dSpjx44lNTWVadOm8emnn1JaWlqr3KFDh7C0\ntKR58+Yan//yyy/4+vrSo0cPAgMDNfb91r3XrFkzVq9ejbGxMenp6TRt2vShyo4dOxaoGYHetm0b\nR48eJSwsTDnvrl27mDlzJklJSTz//POEhobWas/atWvJyMggOjqatLQ0+vXrp9z7AG3btsXQ0FDj\negkhhBBCPK0kQfyHa9KkCSUlJQB89tlnfPLJJ6jVarKzszE2NiYvL08pa2VlhUqlQl9fH29vbzIz\nMwHYt28fzs7OdO/eHW1tbd59912WLl3KnTt3iI6OJiAggKZNm2JiYsLHH3/Mtm3basWRlpZGSUkJ\nEydORF9fn7Zt2zJ8+HB27Njxp9oGNdMOExISMDExYdCgQejq6mJvb4+bmxs7duzgypUrnDx5kkmT\nJtGwYUOef/551q9fz8svv8z27dvp06cPNjY26Onp4efnR1VVFSkpKcp5hg4dip6eHg4ODqjVamXb\n2dmZ4uJibt26BYChoSETJkxAX18fJycnnJ2diY2N5fTp0+Tk5Cj7OnTowMCBAzWeoXR1daVx48Y0\nbty4Vjv79evHqlWruH37NnPnzsXFxQUfHx+SkpIA2LNnD46OjvTq1QtdXV1cXFxwdXXVGN2si8aN\nGxMTE0NSUhI2NjakpaXRqFGjWuVSU1Pp1KmTxme3bt3Cz8+Pl156ibi4OK5fv66x/0H33h8pe/ny\nZdLT0wkKCqJRo0aYmZkxbtw4jXvK1dWVDh06YGBggKenJ5cuXapVz6BBgwgLC8PQ0JCcnByMjIxq\nna9jx44cO3bsN/tOCCGEEOJpoVvfAYg/p7i4mBdffBGACxcusGjRIvLy8mjXrh1aWloai2+YmJgo\nf9fV1VX2FRQU0KJFC2WftrY21tbWFBYWUl5ejq+vL1paWkDNNMvKykpu375NgwYNlGMKCwsxMzND\nV/e/t5SFhQW5ubl/uG13kxBzc3OOHTtGRkYGtra2yn61Wk3Pnj0pLCzE0NBQI/lq164dUDP1NCUl\nhZ07dyr7KisrycnJoU2bNsB/E9G70yXv1nO3zXenuDZv3hx9fX2lnhYtWpCfn092djalpaXY2dlp\nxPbKK68o2/d7lu9eKpUKlUoFQEZGBl999RUjR47k0KFDFBUVYWFhoVH+j/TtypUrWb58ORMnTqS8\nvJwBAwbg7+9f6xnC3NxcHBwcND6rqqoiKCgId3d3fH19CQwMZPXq1UofPejeu1ddy969rvfetxYW\nFhQUFCgjwL91T9+rpKSE4OBgTp06RatWrWjVqlWtcqampn/qXhVCCCGEeFJIgvgPVlpayvHjx/Hz\n86OiooKxY8cyf/58PDw8AFixYoXGSNlvMTMz46efflK2q6urWbRoER988AF6enrs3LmTVq1aATXP\npxUUFGgkh1CTxOXl5VFVVaUkiVlZWQ9MjH5PYmIipqamNG/eHFNTU6ysrDQWHsnNzaVBgwaUl5dT\nVlZGSUmJktzFxMTwzDPPYGpqyrBhwxg3bpxy3KVLlzAzM6OwsBD4byL4IEVFRajVanR0dICa5w67\ndOlC8+bNMTMzU54FhZqk+94k5LfOoVarsbe3JywsDEdHR6BmymNQUBA7d+7kwoULmJubc+LECY3j\nsrKylKReW1tbY2GX/x3dg5opwJcvX2bx4sVUV1dz4sQJxowZw6uvvsobb7yhUVZLS6vWwkeNGzfG\n09MTgMWLF9OnTx9WrlzJ6NGjH+ree5iyFhYWlJWVUVRUpCSCWVlZGBsbP3BhnHvNmjWLtm3bEhkZ\nia6uLseOHWPfvn0aZaqqqpQfCIQQQgghnmbyjegf6sqVK/j7+9OxY0e6deumjOo1bNgQgBMnTrB1\n69Y6rQjZu3dvjhw5QlJSEnfu3GHLli3ExsbStGlTvL29Wbx4MTdu3KCsrIyZM2cyZcqUWnV06tSJ\nZ599ltDQUCoqKsjIyGDt2rV4e3s/dNvUajUJCQmEhoYyfvx4tLS0eO2117hw4QIxMTGo1WoyMjLo\n378/hw4dwtzcHFtbW5YsWcLt27e5dOkSn332GTo6OvTt25eoqCjOnj1LdXU1Bw8exMvLi5ycnIeO\n68aNG6xcuZKKigri4+NJSUnBy8uLzp07Y2BgwJo1a6isrCQ3N5ehQ4fWaRVNHR0devbsyYIFCzh1\n6hTV1dXcuHGDDRs2YGBgwKuvvoqnpycpKSkcOHBA6ZvDhw8rCVubNm2IiYmhsrKSI0eO1Eom75o4\ncaIy7bV58+ZoaWlhbGxcq5y5uTn5+fm/GbOFhQVz5sxhxYoVJCUlPfDe09fXp6KigoqKiocqa2Zm\nhkqlYt68edy8eZO8vDzCwsIe+p4qLS3FwMAAHR0dcnJyWL58OYDGvxv5+fkao+hCCCGEEE8rGUH8\nB+nfvz/a2trKF/uePXsybtw4tLS0MDIyIjg4mOnTp1NWVkbr1q0ZOHAgmzdvfuDqjJaWloSGhhIS\nEsLVq1dp3749kZGR6OjoEBQUxOLFi3njjTcoLy/HxsaGpUuX1qpDT0+PyMhI5s6di5OTEwYGBrz3\n3nsMGTKkTm376aefsLa2Vupq3bo106ZNU0a3jI2NWbNmDSEhIXz66acYGhry7rvv0r9/fwBCQ0OZ\nPXs23bt3p2HDhowZMwYnJyegZrXLSZMmkZ2dTcuWLVm2bBmWlpZkZWXVue8Bnn/+eXJzc7G3t+e5\n554jIiJCmfq5atUq5s6dy+rVq9HR0cHT05MxY8bUqd7g4GAiIyMJDAzk2rVr6OjoYGdnx4YNGzAy\nMsLIyIiIiAgWL17M5MmTadmyJUuWLFGeE5wxYwbz589n69atODg43Pc1Ivr6+oSFhfHZZ58REhKC\nkZERvr6+Sh/dS6VS8cUXX/xuzO7u7rz99tsEBASwY8eO37332rdvT7t27bC3t2fnzp0PVXbx4sXM\nmzePHj16ADWvr/D3969Tv941depUZs6cyaZNmzAxMWHgwIGcPXuWjIwMOnToAMCpU6cYMGDAQ9Ur\nhBBCCPEk0qqWN0QLIe5x69Yt3NzciI6O1njVxpPq/PnzjBo1ioMHDyrThwGMOvesx6iEEOLvd+lQ\ndH2HUIuxsSHFxWX1HYb4H3JdHj+mprUXQvyjZARRCKGhYcOGDBkyhK+++orx48fXdzh/uS1btvDR\nRx9pJIfweH5R+qPkf+SPH7kmjye5LkIIIc8gCiHu4+77Mn/vWcQnweXLl8nMzOTtt9+u71CEEEII\nIR4LMsVUCCHuIz+/pL5DeGRkVOTxI9fk8STX5fEj1+TxJNfl8fMop5jKCKIQQgghhBBCCECeQRRC\niPtq49avvkMQQjyFnqTnn4UQ/0wygiiEEEIIIYQQApAEUQghhBBCCCHE/5EEUQjxl7ty5cpfUlYI\nIYQQQjxakiD+Q7Rv357OnTtjbW2NlZUV3bp1Y+bMmfz666/1HVqdnD9/nl69etGlSxdiYmI09kVH\nR/Ovf/0La2trpX0+Pj5ERUXVU7S1paSkYG9v/5fUXVVVRWhoKK6urlhZWeHs7PzIrq2vry+bNm16\n6OMqKysZNGgQBQUF9217Tk4OvXr1Yvz48VRWVv5uXf/5z394991363Tehyn7e3bv3s2gQYMeWO7K\nlSsMHz4cWcxZCCGEEKKGJIj/IFFRUaSnp3PixAmioqLIy8tjxIgR3Llzp75De6C4uDiaN29OWloa\nXl5etfb/61//Ij09nfT0dI4fP86UKVNYsmQJW7ZsqYdo/16ff/45KSkpbNy4kRMnTrB9+3ZycnKY\nPHlyvcX0xRdfoFKpePbZZ2vtu3LlCoMGDcLBwYHQ0FD09PR+t66SkpIHJpF/pOzv8fHxYfPmzQ8s\n16pVKywtLdm+ffufPqcQQgghxJNAEsR/KHNzc0JDQ/nll1/47rvvgJov7qNGjcLFxYVOnToxcOBA\nMjIyAAgPDycgIICRI0dibW2Np6cnP/zwg1Lf/v37eeONN7C2tubtt9/mzJkzAJSXlzN37lycnZ3p\n1q0bCxYsoKKi4r4xZWZmMnLkSLp27UqPHj1YvXo11dXVREREEBERwfHjx+natesD26atrY2joyOT\nJ08mPDxcSYDPnTuHr68vtra2eHt7k5CQoByTk5PDqFGj6NKlC87Ozqxbt07Zd+DAAby8vLC1tWXI\nkCFcvHgRgKysLOzt7Vm3bh0qlQp7e3uioqL497//jYODA05OTnz77bdKPdXV1SxYsACVSkXv3r2J\njY1V9mVnZzNq1Cjs7e3p1asX33zzjbLP19eXKVOm4OjoyIgRI2q19/Tp0zg6OtKyZUsAzMzMmDp1\nKmZmZkqZI0eO0K9fP7p06cKbb76p0fb27dtz/vx5ZfuTTz4hPDy81nl+/PFHvL29lf7btWvXffu/\nrKyML7/8knfeeafWvosXLzJ48GB69+7N7Nmz0dau+U/Ib917hYWFfPjhhxQXF2Ntbc3169cfqmxB\nQQH+/v7Y29vj4uLCwoULlftvypQpzJ07l/feew9ra2v69evH2bNngZpR6X79alYhLS8v59NPP6Vn\nz55YWVnRq1cvDh06pLRpwIABrFy5kqqqqvv2hxBCCCHE00QSxH8wIyMjunTpQlpaGgDTp0/H0tKS\nuLg4kpOTadq0KZGRkUr52NhY/Pz8SElJwcXFhTlz5gDwyy+/EBgYyOTJk0lLS6Nv376MHTsWtVrN\nggULuHDhArt372b37t2cOXNGo867KioqGDp0KG3btuXIkSOsWrWKr7/+mq1btzJmzBhGjhyJm5sb\nqampdW6fs7MzRUVFXLx4kdLSUoYNG4aHhwfJyclMnz6dgIAAJdkbN24cpqamHDlyhE2bNrFmzRp+\n+OEHTp06xbRp0wgODiYpKYnXX3+dkSNHKqNUxcXFXL16le+//x5/f39mzZpFUVERiYmJjBkzhrlz\n5yrx3J3ymZCQwPTp0wkMDCQjIwO1Ws2oUaN48cUXSUxMJCwsjKVLl5KcnKwce/bsWfbv38+SJUtq\ntbN3796sWbOGqVOnsmfPHnJzc7G0tCQ4OFi5Ph999BGjRo3i6NGjTJw4kXHjxnHu3Lk69yXA1KlT\nGTt2LKmpqUybNo1PP/2U0tLSWuUOHTqEpaUlzZs31/j8l19+wdfXlx49ehAYGKix77fuvWbNmrF6\n9WqMjY1JT0+nadOmD1V27NixQM0I9LZt2zh69ChhYWHKeXft2sXMmTNJSkri+eefJzQ0tFZ71q5d\nS0ZGBtHR0aSlpdGvXz/l3gdo27YthoaGGtdLCCGEEOJpJQniP1yTJk0oKSkB4LPPPuOTTz5BrVaT\nnZ2NsbExeXl5SlkrKytUKhX6+vp4e3uTmZkJwL59+3B2dqZ79+5oa2vz7rvvsnTpUu7cuUN0dDQB\nAQE0bdoUExMTPv74Y7Zt21YrjrS0NEpKSpg4cSL6+vq0bduW4cOHs2PHjj/VNqiZdpiQkICJiQmD\nBg1CV1cXe3t73Nzc2LFjB1euXOHkyZNMmjSJhg0b8vzzz7N+/Xpefvlltm/fTp8+fbCxsUFPTw8/\nPz+qqqpISUlRzjN06FD09PRwcHBArVYr287OzhQXF3Pr1i0ADA0NmTBhAvr6+jg5OeHs7ExsbCyn\nT58mJydH2dehQwcGDhyo8Qylq6srjRs3pnHjxrXa2a9fP1atWsXt27eZO3cuLi4u+Pj4kJSUBMCe\nPXtwdHSkV69e6Orq4uLigqurq8boZl00btyYmJgYkpKSsLGxIS0tjUaNGtUql5qaSqdOnTQ+u3Xr\nFn5+frz00kvExcVx/fp1jf0Puvf+SNnLly+Tnp5OUFAQjRo1wszMjHHjxmncU66urnTo0AEDAwM8\nPT25dOlSrXoGDRpEWFgYhoaG5OTkYGRkVOt8HTt25NixY7/Zd0IIIYQQTwvd+g5A/DnFxcW8+OKL\nAFy4cIFFixaRl5dHu3bt0NLS0lh8w8TERPm7rq6usq+goIAWLVoo+7S1tbG2tqawsJDy8nJ8fX3R\n0tICaqZZVlZWcvv2bRo0aKAcU1hYiJmZGbq6/72lLCwsyM3N/cNtu5uEmJubc+zYMTIyMrC1tVX2\nq9VqevbsSWFhIYaGhhrJV7t27YCaqacpKSns3LlT2VdZWUlOTg5t2rQB/puI3p0uebeeu22+O8W1\nefPm6OvrK/W0aNGC/Px8srOzKS0txc7OTiO2V155Rdm+37N891KpVKhUKgAyMjL46quvGDlyJIcO\nHaKoqAgLCwuN8n+kb1euXMny5cuZOHEi5eXlDBgwAH9//1rPEObm5uLg4KDxWVVVFUFBQbi7u+Pr\n60tgYCCrV69W+uhB99696lr27nW99761sLCgoKBAGQH+rXv6XiUlJQQHB3Pq1ClatWpFq1atapUz\nNTX9U/eqEEIIIcSTQhLEf7DS0lKOHz+On58fFRUVjB07lvnz5+Ph4QHAihUrNEbKfouZmRk//fST\nsl1dXc2iRYv44IMP0NPTY+fOnbRq1QqoeT6toKBAIzmEmiQuLy+PqqoqJUnMysp6YGL0exITEzE1\nNaV58+aYmppiZWWlsfBIbm4uDRo0oLy8nLKyMkpKSpTkLiYmhmeeeQZTU1OGDRvGuHHjlOMuXbqE\nmZkZhYWFwH8TwQcpKipCrVajo6MD1Dx32KVLF5o3b46ZmZnyLCjUJN33JiG/dQ61Wo29vT1hYWE4\nOjoCNVMeg4KC2LlzJxcuXMDc3JwTJ05oHJeVlaUk9dra2hoLu/zv6B7UTAG+fPkyixcvprq6mhMn\nTjBmzBheffVV3njjDY2yWlpatRY+aty4MZ6engAsXryYPn36sHLlSkaPHv1Q997DlLWwsKCsrIyi\noiIlEczKysLY2PiBC+Pca9asWbRt25bIyEh0dXU5duwY+/bt0yhTVVWl/EAghBBCCPE0k29E/1BX\nrlzB39+fjh070q1bN2VUr2HDhgCcOHGCrVu31mlFyN69e3PkyBGSkpK4c+cOW7ZsITY2lqZNm+Lt\n7c3ixYu5ceMGZWVlzJw5kylTptSqo1OnTjz77LOEhoZSUVFBRkYGa9euxdvb+6HbplarSUhIIDQ0\nlPHjx6OlpcVrr73GhQsXiImJQa1Wk5GRQf/+/Tl06BDm5ubY2tqyZMkSbt++zaVLl/jss8/Q0dGh\nb9++REVFcfbsWaqrqzl48CBeXl7k5OQ8dFw3btxg5cqVVFRUEB8fT0pKCl5eXnTu3BkDAwPWrFlD\nZWUlubm5DB06tE6raOro6NCzZ08WLFjAqVOnqK6u5saNG2zYsAEDAwNeffVVPD09SUlJ4cCBA0rf\nHD58WEnY2rRpQ0xMDJWVlRw5cqRWMnnXxIkTlWmvzZs3R0tLC2Nj41rlzM3Nyc/P/82YLSwsmDNn\nDitWrCApKemB956+vj4VFRVUVFQ8VFkzMzNUKhXz5s3j5s2b5OXlERYW9tD3VGlpKQYGBujo6JCT\nk8Py5csBNP7dyM/P1xhFF0IIIYR4WskI4j9I//790dbWVr7Y9+zZk3HjxqGlpYWRkRHBwcFMnz6d\nsrIyWrduzcCBA9m8efMDV2e0tLQkNDSUkJAQrl69Svv27YmMjERHR4egoCAWL17MG2+8QXl5OTY2\nNixdurRWHXp6ekRGRjJ37lycnJwwMDDgvffeY8iQIXVq208//YS1tbVSV+vWrZk2bZoyumVsbMya\nNWsICQnh008/xdDQkHfffZf+/fsDEBoayuzZs+nevTsNGzZkzJgxODk5ATWrXU6aNIns7GxatmzJ\nsmXLsLS0JCsrq859D/D888+Tm5uLvb09zz33HBEREcrUz1WrVjF37lxWr16Njo4Onp6ejBkzpk71\nBgcHExkZSWBgINeuXUNHRwc7Ozs2bNiAkZERRkZGREREsHjxYiZPnkzLli1ZsmSJ8pzgjBkzmD9/\nPlu3bsXBweG+rxHR19cnLCyMzz77jJCQEIyMjPD19VX66F4qlYovvvjid2N2d3fn7bffJiAggB07\ndvzuvde+fXvatWuHvb09O3fufKiyixcvZt68efTo0QOoeX2Fv79/nfr1rqlTpzJz5kw2bdqEiYkJ\nAwcO5OzZs2RkZNChQwcATp06xYABAx6qXiGEEEKIJ5FWtbwhWghxj1u3buHm5kZ0dLTGqzaeVOfP\nn2fUqFEcPHhQmT4MYNS5Zz1GJYR4Wl06FF3fITxWjI0NKS4uq+8wxP+Q6/L4MTWtvRDiHyVTTIUQ\nGho2bMiQIUP46quv6juUv8WWLVv46KOPNJJDIYQQQoinlUwxFULU4ufnx5AhQ8jPz8fU1LS+w/nL\nXL58mczMTGbNmlVr35P0K7780vv4kWvyeJLrIoQQMsVUCCHuKz+/pL5DeGTkS+/jR67J40muy+NH\nrsnjSa7L40emmAohhBBCCCGEeORkiqkQQtxHG7d+9R2CEKIePUnTzIUQ4mHICKIQQgghhBBCCEAS\nRCGEEEIIIYQQ/0cSRPGPcOXKlfoO4S9TXV3N1atXle1bt25RUFBQjxE9nqqqqsjNza3vMIQQQggh\nnmiSID7B2rdvT+fOnbG2ttb4ExgYCMDNmzd5//33sbKyYvbs2SQnJ+Ps7IytrS1Hjx7F1dX1b4v1\n3nOnpaVp7IuLi2PChAnKtqurK/Hx8X/6nOHh4bz88su1+mfMmDF/uu6HsXDhQjZt2qRsDxo0iNOn\nT/8l51qzZg2bN28GID8/n4CAABwcHLC2tsbDw4NVq1ZR14WN165di42NDU5OTpSWlmrcS3+FiRMn\ncujQIQBSU1P/9P1ZVVXF4MGDKSoqehThCSGEEEI8EWSRmidcVFQUL7300n33/fzzz5w8eZIff/wR\nIyMjpk+fjkqlYuHChQAcPnz4b4szJiZG49z3+vXXX7lz585fcl43NzfCwsL+krrr6vr16zRt2lTZ\nLi4u/kvOc+XKFXbv3s2OHTsAmDBhAm3btuXgwYM0atSIc+fOMXr0aHR1dfnggw8eWN/XX3/N1KlT\nefvtt0lLS9O4l/4K169fV/5ua2v7p+9PXV1d/Pz8CAkJYfHixX82PCGEEEKIJ4KMID6lUlJSGDp0\nKOXl5XTr1o0hQ4awY8cO9u7di4+PDykpKdjb2wM1UyBXrFiBSqXCxcWFL774gpdffpmsrCymTp3K\njBkzlHrVajWOjo6cOnWq1jnPnDnD4MGDsbGxwcPDg+jomhXigoKCNM59r1OnTjFr1ix++uknnJyc\nlM+Tk5Px8fHB2tqaESNG8OuvvyrnX7FiBa6urqhUKqZOnUppaekf6qOCggL8/f2xt7fHxcWFhQsX\nUlFRAcCUKVOYMGECr7/+Ot7e3ty5c4evvvoKFxcXHB0dWbRoEa6urqSkpPxu29etW8e3337Lxo0b\n+eSTTxgzZgzZ2dmMGzeODRs2AHDgwAG8vLywtbVlyJAhXLx4EYCsrCxsbW1ZtWoVTk5OqFQqQkJC\nfrM9q1evxtvbGx0dHQBOnz6Nh4cHjRs3RktLiw4dOjBt2jT09PQAiI6Opl+//67kefPmTdq3b09W\nVhbu7u5cvnyZ2bNn4+XlpXEvpaenk5mZyciRI+natSs9evRg9erVysjkjRs3CAwMxNbWVvlR4O6+\nDRs24O3tjY2NDY6OjoSHhwMwb948UlNT+eyzz/jss8807k+A9evX06NHD7p27coHH3zAhQsXgJr7\n3Nvbm/nz52NnZ0f37t1ZvXq1cpyrqyvHjh1T+lQIIYQQ4mknCeJTyt7entWrV2NsbEx6ejrr16/H\n29sbX19fdu/erVH2m2++ITo6mq+++oo9e/Zw7Ngx1Go1AD4+Phw4cICqqioAfvzxRxo1akSnTp00\n6igqKsLPzw93d3eSk5NZsGABCxYsICEhgXnz5v3muTt16kRwcDD/+te/OHLkiPJ5UlIS69atIz4+\nnqysLLZs2QLUJFwHDx5k8+bNHDx4kPLycubMmfOH+mjs2LFAzRTXbdu2cfToUY3RxmPHjrF161a2\nbNlCSkoKoaGhhIeHEx8fT2lpqfJc4e+1fejQoUrbw8LCiIiIwMLCguXLl/P+++9z6tQppk2bRnBw\nMElJSbz++uuMHDmSyspKAEpKSsjKyiI+Pp6VK1eyZcsW0tPTa7WloqKCb7/9Fg8PD+UzT09PAgIC\nWLhwIQkJCdy4cQM3Nzd8fX0f2Df79+9X4oyJidG4l1555RWGDh1K27ZtOXLkCKtWreLrr79m69at\nAMyaNYuSkhLi4uKIiYkhISGBbdu2kZqaSmRkJOHh4aSlpSn9kZmZSVBQELa2tkyZMoUpU6ZoxPL1\n11+zdu1aIiIi7TE6eQAAIABJREFUOHLkCF26dOHDDz+kvLwcgPPnz9OkSRN+/PFHZsyYQWhoqPIs\no7a2Nj169FBGVYUQQgghnnaSID7hBg4ciK2trcafuLi4h6pj9+7dvP/++7Rp04ZGjRopzzBCTaKp\nr6/Pjz/+CMCePXvw9vauVUdcXBzm5ub4+vqip6dH586deeedd9i5c+cfatcHH3xAs2bNMDY2xtHR\nkaysLAC2b9/O2LFjMTc3p1GjRgQEBLB7925u375933oOHz5cq3/Kysq4fPky6enpBAUF0ahRI8zM\nzBg3bpxGImFvb4+ZmRmNGzdm9+7d9OnTh06dOtGgQQMmT56Mrq7un2779u3b6dOnDzY2Nujp6eHn\n50dVVZUyMgnw4Ycfoq+vj5WVFZaWlmRmZtaq5+zZs+jr69OqVSvls7lz5zJx4kTOnTvHuHHjcHBw\n4MMPP1T68o9KS0ujpKSEiRMnoq+vT9u2bRk+fDg7duygoqKCgwcPMn78eJo0aUKzZs1YuXIlLi4u\nvPLKK0RHR9OmTRsKCgqorKzEwMCAa9eu/e75du3ahZ+fHx06dEBfX5/Ro0dTUVHB0aNHAdDR0eHD\nDz9EV1eXnj17YmhoqLHoUceOHZWyQgghhBBPO3kG8Qm3devW33wGsa6uXbuGubm5st2yZUvl79ra\n2nh5ebFv3z7s7e05dOgQUVFRteooKirCwsJC4zMLCwtSU1P/UExNmjRR/q6np6dMI83JyWHSpEnK\nNEqoedYsOzubF154oVY9rq6u930GsbCwEENDQ0xMTDTivZu4AJiamir7rl27xosvvqhsGxoaYmxs\nDPy5tufk5JCSkqKRTFZWVpKTk0ObNm0ANGLU1dW97/Oaubm5NG/eXOMzHR0d3nrrLd566y2qqqo4\nffo0y5cvZ/To0bVGch9GYWEhZmZmSoIMNe3Nzc3l119/pbKyEjMzM2Vf69atAbh9+zaff/45+/fv\np1mzZnTs2BHggc+fFhYWavSvtrY25ubm5OXl0bp1axo3bqxMm4XafWRqakpeXt4fbq8QQgghxJNE\nEkTxQObm5uTk5Cjb//uqAW9vb/z8/HB1daVNmzb3TcTMzc01XuUANc/QPfvss480VlNTU+bMmYNK\npQJqkqkrV64oSUhdWVhYUFZWRlFRkZKAZWVlYWxsrCQbWlpaSnlzc3Oys7OV7fLycmWxmT/TdlNT\nU4YNG8a4ceOUzy5duoSZmRmFhYV1bo+WlpZGUpSens7w4cP5/vvvMTIyQldXV1nh9u2330atVqOt\nra0kw1D3xXPuJmdVVVVKkni3vSYmJujp6ZGXl6cszJOYmEhxcTFXr17l/PnzHDp0iMaNG1NZWcne\nvXsfeD4LCwuN/r1z5w7Z2dk0a9asTvHebasQQgghhJAppqIO+vbty4YNG8jMzKSsrIylS5dq7H/5\n5ZcxNTVlxYoV951eCuDi4kJBQQEbN26ksrKSkydPEhUV9Zvl76Wvr8/Nmzfr9PqFPn36EBERwbVr\n16isrGTZsmUMHz68zq9uuMvMzAyVSsW8efO4efMmeXl5hIWF/Wa8ffr0YdeuXZw+fZqKigqWLl2q\nPJf5oLbr6+trLKRz74ho3759iYqK4uzZs1RXV3Pw4EG8vLw0Eva6sLCwID8/X9nu2LEjpqamTJ8+\nXUmucnNz+fLLL+nevTs6Ojq88MILXLx4kZMnT3L79m1WrVqlkRT/lk6dOvHss88SGhpKRUUFGRkZ\nrF27Vlkgx9PTk7CwMEpLS8nPz2fhwoWUl5dTWlqKnp4eenp63Lx5kwULFlBZWan04//20719v379\nes6dO0dFRQWff/45AA4ODnXqm/z8fFq0aFGnskIIIYQQTzoZQXzC9e/fv9boSPPmzdm/f3+d6/D2\n9ub//b//R//+/WnYsCFvvvkmgMa0PW9vb8LCwvD09LxvHU2aNGHNmjWEhISwdOlSTExM8Pf3p1ev\nXg88f9euXZV/3rtQzf3cXcBlwIAB3Lhxg5dffplVq1ZpTHesq8WLFzNv3jx69OgB1CzI4+/vf9+y\ntra2fPzxx4waNYrq6mr69++Prq4uenp6D2y7u7s7EyZMIDs7m7Vr19K3b19mzJjBlStXGD16NFOm\nTGHSpElkZ2fTsmVLli1bhqWl5UM9K/jyyy8DcOHCBSwtLdHT02P9+vUsW7aMgQMHcuPGDRo3bkyv\nXr2YOXMmAJ07d8bX15ePPvoILS0thg8frjG197fo6ekRGRnJ3LlzcXJywsDAgPfee48hQ4YAMGPG\nDEJCQujVqxdaWloMGDCA/v37U1hYSEBAACqVCiMjI1xdXenSpQsZGRk4OTnh5eXF7NmzuXr1Kl5e\nXsr53nzzTa5fv86YMWMoLCzk1VdfZd26dRgaGtapb06ePKmMOAshhBBCPO20qh92aEU8dX7++WdM\nTEyUZ9gyMjLw8vIiPT0dAwMDoGYhm127drF27dr6DLXeXLhwAT09PWURmFu3bmFlZUVsbOx9p9zW\nh1mzZtGyZUtGjBhR36E8NqqqqnB1dWXDhg3KM513GXXuWT9BCSEeC5cORdd3CAIwNjakuLisvsMQ\n/0Ouy+PH1LTxI6tLppiKB/r+++8JDAyktLSU8vJyVq9eTdeuXTEwMKCkpISff/6ZL774gv79+9d3\nqPXmp59+YtSoURQVFVFZWUlkZCStWrWqlXTUpxEjRrBz505lyqaoecekvb39Y3WdhBBCCCHqk0wx\nFQ/k5+dHZmYmbm5uVFZWYmdnx6JFiwC4ePEi77//Pj169MDd3b2eI60/np6e/PTTT/j4+FBWVsYr\nr7zCypUr6/TM3t+lZcuW9OnTh61btzJ48OD6DqfeVVVVsXHjRlasWHHf/U/S6IH80vv4kWvyeJLr\nIoQQMsVUCCHuKz+/pL5DeGTkS+/jR67J40muy+NHrsnjSa7L40emmAohhBBCCCGEeORkiqkQQtxH\nG7d+9R2CEKIePUnTzIUQ4mHICKIQQgghhBBCCEASRCGEEEIIIYQQ/0cSRCGEEEIIIYQQgCSIT5WL\nFy/y0Ucf0bVrV6ytrfHx8SEqKupvjcHV1ZX4+PhHWmdqaiqurq6PtM7fk5ycjLOzM7a2tqSlpdXa\nv27dOtzd3bGyskKlUuHv709OTo6y39ramoyMjN89x5QpU1iwYMEjj/1ROHnyJBMnTlS28/LymDFj\nBt27d6dLly54enqyadOmeoywbqqqqhg8eDBFRUX1HYoQQgghxGNDEsSnxJ07dxg+fDgdO3YkMTGR\ntLQ0pk+fzqJFi9i/f399h/en2Nracvjw4b/tfDExMahUKlJTU7GxsdHY98033/DVV18RERHBiRMn\niI2NRV9fnxEjRnD3jTLp6em0bdv2b4v3UVKr1cyYMYMJEyYANclhv379aNKkCTt37iQtLY358+ez\ndu3a33y/4ONCV1cXPz8/QkJC6jsUIYQQQojHhiSIT4nr16+TlZWFj48PBgYGaGtrY2dnR2BgIJWV\nldy6dQtra2uOHz+uHHP48GE8PT0BaN++PV9//TUuLi506dKFiIgIoqOj6d69O3Z2dqxduxaArKws\nrK2tiYiIoGvXrnTr1o3169drxJKcnIyPjw/W1taMGDGCX3/9FYCbN28SHByMk5MTTk5OBAUFUVJS\n8y668PBwAgICGDlyJNbW1nh6evLDDz8AkJKSgr29vVL/gQMH8PLywtbWliFDhnDx4kVl36JFi+jW\nrRsqlYphw4Zx5cqV+/bXmTNnGDx4MDY2Nnh4eBAdXbOaXVBQEDt27GDv3r34+PjUOu706dNYWVnR\nrl07AJo0acLkyZPp2LEjZWVlSl+eP38egKNHj/LWW29hbW3NG2+8obTpXklJSdjZ2XHkyBGysrKw\ntbVl1apVODk5oVKpNBKc4uJiAgMDUalUuLq6smrVKiUx/c9//sM777yDra0tHh4efPHFFw/dL7Gx\nsZiZmdGqVSsAli1bho2NDQEBAZiYmKClpUXnzp2ZN28e165dA2p+nFi2bBkeHh5YW1vj4uLC1q1b\ngZr7xcbGhilTpmBra8uuXbu4ceMGgYGB2NraolKpWLhwodKGDRs24O3tjY2NDY6OjoSHhyuxffnl\nl7z22mvY29szaNAgzpw5A0B2djbvv/8+tra2uLm5adTn6urKsWPHNO4RIYQQQoinmSSIT4lmzZph\nZ2fH0KFDCQsLIzk5mbKyMvr374+XlxcNGzbEzc2NvXv3KsfExMTg7e2tbB85coTY2FjCw8MJDw8n\nMTGRAwcOsGjRIpYsWaIkc2VlZZw7d46EhAQiIyNZsWIF33//vVJPUlIS69atIz4+nqysLLZs2QLA\nzJkzuXDhAt9++y179+6loKCAmTNnKsfFxsbi5+dHSkoKLi4uzJkzp1Y7T506xbRp0wgODiYpKYnX\nX3+dkSNHUllZSVJSEvv27ePbb78lMTGRFi1aaCQYdxUVFeHn54e7uzvJycksWLCABQsWkJCQwLx5\n8/D29sbX15fdu3fXOtbd3Z29e/cyfvx4oqOjyczMxNjYmPnz52NkZKRRtrCwkFGjRvHee++RmpqK\nv78/H3/8MTdu3FDKpKenM2HCBEJDQ3FycgKgpKSErKws4uPjWblyJVu2bCE9PR2ASZMmoaWlRVxc\nHBs2bGD37t1Kcjt37lw8PDxITU0lPDyciIgILl68WOd+Adi+fTvu7u7KdmJiIj179qxVztHRkdmz\nZwOwe/duDhw4wMaNGzl+/Dj+/v6EhIRw8+ZNAEpLS2nZsiU//vgjvXr1YtasWZSUlBAXF0dMTAwJ\nCQls27aN1NRUIiMjCQ8PJy0tjbCwMCIiIsjMzOTy5cssX76czZs3k5ycjIODA/Pnzwdg6dKlvPTS\nSxw9epRNmzaxZ88ekpKSANDW1qZHjx7s2LHjvu0VQgghhHjaSIL4FFmzZg2DBw8mOTmZ4cOHY2dn\nx8SJE7l+/ToA3t7exMbGcufOHcrKyoiPj8fLy0s5fvDgwTRs2BAHBweqq6sZNGgQBgYGODs7o1ar\nycvLU8oGBQVhaGhIx44d6dOnD3v27FH2ffDBBzRr1gxjY2McHR3JysqivLyc/fv3ExgYiImJiTLy\ntm/fPm7dugWgPNOnr6+Pt7c3mZmZtdq4fft2+vTpg42NDXp6evj5+VFVVUVKSgqNGjWisLCQqKgo\nLl++zJw5c1i4cGGtOuLi4jA3N8fX1xc9PT06d+7MO++8w86dOx/YxyqViq1bt2JoaMjy5cvp1atX\nrcT7ru+++47WrVvz1ltvoaOjg6urK+vXr0dfXx+A8+fPM2LECAICAujWrZvGsR9++CH6+vpYWVlh\naWlJZmYm+fn5fP/990ydOhVDQ0Oee+45hg0bpjxn2rhxY+Lj44mPj+e5557j2LFjvPDCC3Xulzt3\n7nD8+HE6deqkfFZcXIyJicnv9ombmxvr16/n2WefJS8vjwYNGnD79m1l5Bhq7j19fX10dHQ4ePAg\n48ePp0mTJjRr1oyVK1fi4uLCK6+8QnR0NG3atKGgoIDKykoMDAy4du0aDRs2pLKykm3btvHzzz8z\nZswYNm/erLT72LFj7N+/H0NDQ+Lj43F0dFTO3bFjR44ePfqgSyuEEEII8VSQBPEp0qBBA/z8/Niy\nZQtpaWmsWrWKixcvMm3aNACcnJyorq4mNTWVuLg42rdvr0wlhJrpkgA6OjoAPPPMM0DNKAzUJBB3\nz2NmZqYc16JFCwoKCmrVA6Cnp4darebGjRtUVlZiYWGh7GvZsiXV1dXKVMV7ExFdXV1lmuC9cnJy\n2LZtG7a2tsqfwsJCcnJyePXVV5k/fz7ff/89Pj4+9O7dm++++65WHUVFRRpxAFhYWJCbm/ubfXuv\njh07EhISQkJCAnFxcfTr1w9/f39lyuNdhYWFtGjRQuOzTp06YWBgANRMne3QoQMxMTG1zvG/fXHn\nzh1ycnKorq6mZ8+eStvnzJmj9N/8+fN54YUX+PTTT7Gzs2PatGncvHmzzv1SXFxMeXk5pqamymem\npqYa1/YutVpNcXExAJWVlcydOxd7e3tGjhypLFJ0934BePbZZwH49ddfqays1Lh/WrduTYsWLdDW\n1ubzzz/H3t6e999/Xxn1u3PnDqampqxevZozZ84wcOBAXnvtNb755hsAAgMDcXR0JDQ0FAcHB0aP\nHq0Rs6mpqcaPG0IIIYQQTzNJEJ8Se/fuxdXVVUmqGjRogKOjIx999BE///wzUJP49e7dmwMHDnDg\nwAGN6aUAWlpadTrX/44OZWdn10qE/tezzz6Lvr4+V69eVT7LyspCW1ubpk2b1um8UPNlf9iwYaSm\npip/du3ahZeXFzk5OVhaWrJp0yZSUlJ46623GD9+PGq1WqMOc3NzjTjuxnI3ifk93t7eGivDPvfc\nc4wePZp27dpx7tw5jbLNmzevlZisXLlSeR5u4MCBRERE8Msvv7B9+/Y6tV1XV5cff/xRaXt8fDyb\nNm2iurqa8+fPM3XqVBISEoiKiuLUqVNs3ry5zv1y172JubOzMwcPHqxV5rvvvuP111+ntLSU0NBQ\nqqurSUxMZNeuXXzyySe1yt+9t0xMTNDT09Pol8TERL799lvWrVvH+fPnOXToEHv37mXevHlUVVUB\nNUm9oaEha9eu5ejRo/j7+xMUFEReXh7nzp3jww8/5ODBg8TGxnLz5k3CwsKU+tVqtfIjhxBCCCHE\n006+FT0lVCoVZWVlzJs3j8LCQqqrq8nMzGTr1q28/vrrSjkfHx8OHz7M0aNH6d279x8+35IlS6io\nqODUqVPs2rWLPn36/G55bW1tfHx8WLx4MUVFRfz6668sXLgQFxcXZaSyLvr27UtUVBRnz56lurqa\ngwcPKsnhyZMnGTlyJFeuXMHIyIhnnnmGZ555RhkRvcvFxYWCggI2btxIZWUlJ0+eJCoqqlbCfD/u\n7u58/vnnJCUloVaruXnzJjExMeTk5KBSqWqd5+rVq+zatQu1Ws3hw4dZt24dxsbGQM3o6jPPPKO8\n8iI/P/93z21ubo6NjQ2LFi2ivLyc4uJiPvnkE5YuXYqWlhZz585l9erVVFVV0bx5c7S1tTE2Nq5z\nv5iYmNCwYUNlRBJg9OjRHDt2jNDQUIqLi1Gr1SQnJzNr1iyGDRtGo0aNKC0tVaaPXr9+XXl9x93k\n7l46Ojp4enoSFhZGaWkp+fn5LFy4kPLyckpLS9HT00NPT4+bN2+yYMECKisrqaqq4urVqwwdOpSz\nZ8/SoEEDmjZtSoMGDTA0NGTlypUsXryY27dv06xZM3R0dDR+dMjPz3/gDxhCCCGEEE8L3foOQPw9\nmjZtypYtW1i2bBleXl6UlZXRrFkzvL29GTNmjFKuU6dO6OnpYWVl9cBny36PkZERr732GgYGBgQF\nBdG1a9cHHjN16lQWLVqEj48Pt2/fpkePHsr017rq2rUrU6ZMYdKkSWRnZ9OyZUuWLVuGpaUllpaW\nnDt3jnfffZebN2/ywgsvaIwk3dWkSRPWrFlDSEgIS5cuxcTEBH9/f3r16vXA848ZM4ZGjRoREhJC\nVlYWWlpadOrUibVr19aattq0aVP+/e9/M3/+fGbPns1zzz1HRERErRFTb29voqOjmT17NpMnT/7d\n84eGhhISEoKrqytqtZru3bsza9YsoCZpDw4OZv369ejp6eHt7a08/1iXfgFwcHDgxIkTdOjQAaiZ\nPvz111+zdOlSPD09uXXrFi1btmT06NG89957AHzyySdMnjyZrl278swzz/Dmm2/SunVrMjIyaN++\nfa1zzJgxg5CQEHr16oWWlhYDBgygf//+FBYWEhAQgEqlwsjICFdXV7p06UJGRgbvv/++ssjP3SnC\ny5Yto3Hjxnz66afMmDFDeY7z7sJFd508ebJW8i6EEEII8bTSqr7fg1ziqTZ06FDefvtt3njjjYc+\nNisrix49enD8+PFaq3aKf769e/fyzTffKK81+aerqqrC1dWVDRs20KZNG419Rp1rr84qhHh6XDoU\nXd8hCMDY2JDi4rL6DkP8D7kujx9T08aPrC6ZYioU2dnZ7N+/n3PnzuHm5lbf4YjHkIeHB9euXePS\npUv1HcojceDAAezt7Wslh0IIIYQQTyuZYioU69evJzo6mjlz5tCgQYP6Dkc8hrS1tZk9ezbLli1j\n2bJl9R3On1JVVcXGjRtZsWLFffc/SaMH8kvv40euyeNJrosQQsgUUyGEuK/8/JL6DuGRkS+9jx+5\nJo8nuS6PH7kmjye5Lo8fmWIqhBBCCCGEEOKRkymmQghxH23c+tV3CEKIv9CTNI1cCCEeJRlBFEII\nIYQQQggBSIIohBBCCCGEEOL/SIIohBBCCCGEEAKQBPGpcvHiRT766CO6du2KtbU1Pj4+REVF/a0x\nuLq6Eh8f/0jrTE1NxdXV9ZHW+XuSk5NxdnbG1taWtLS0WvvXrVuHu7s7VlZWqFQq/P39ycnJUfZb\nW1uTkZHxu+eYMmUKCxYseOSxPwonT55k4sSJynZeXh4zZsyge/fudOnSBU9PTzZt2lSPEdZNVVUV\ngwcPpqioqL5DEUIIIYR4bEiC+JS4c+cOw4cPp2PHjiQmJpKWlsb06dNZtGgR+/fvr+/w/hRbW1sO\nHz78t50vJiYGlUpFamoqNjY2Gvu++eYbvvrqKyIiIjhx4gSxsbHo6+szYsQI7r5RJj09nbZt2/5t\n8T5KarWaGTNmMGHCBKAmOezXrx9NmjRh586dpKWlMX/+fNauXfub7xd8XOjq6uLn50dISEh9hyKE\nEEII8diQBPEpcf36dbKysvDx8cHAwABtbW3s7OwIDAyksrKSW7duYW1tzfHjx5VjDh8+jKenJwDt\n27fn66+/xsXFhS5duhAREUF0dDTdu3fHzs6OtWvXApCVlYW1tTURERF07dqVbt26sX79eo1YkpOT\n8fHxwdramhEjRvDrr78CcPPmTYKDg3FycsLJyYmgoCBKSmreRRceHk5AQAAjR47E2toaT09Pfvjh\nBwBSUlKwt7dX6j9w4ABeXl7Y2toyZMgQLl68qOxbtGgR3bp1Q6VSMWzYMK5cuXLf/jpz5gyDBw/G\nxsYGDw8PoqNrVrsLCgpix44d7N27Fx8fn1rHnT59GisrK9q1awdAkyZNmDx5Mh07dqSsrEzpy/Pn\nzwNw9OhR3nrrLaytrXnjjTeUNt0rKSkJOzs7jhw5QlZWFra2tqxatQonJydUKpVGglNcXExgYCAq\nlQpXV1dWrVqlJKb/+c9/eOedd7C1tcXDw4MvvvjiofslNjYWMzMzWrVqBcCyZcuwsbEhICAAExMT\ntLS06Ny5M/PmzePatWtAzY8Ty5Ytw8PDA2tra1xcXNi6dStQc7/Y2NgwZcoUbG1t2bVrFzdu3CAw\nMBBbW1tUKhULFy5U2rBhwwa8vb2xsbHB0dGR8PBwJbYvv/yS1157DXt7ewYNGsSZM2cAyM7O5v33\n38fW1hY3NzeN+lxdXTl27JjGPSKEEEII8TSTBPEp0axZM+zs7Bg6dChhYWEkJydTVlZG//798fLy\nomHDhri5ubF3717lmJiYGLy9vZXtI0eOEBsbS3h4OOHh4SQmJnLgwAEWLVrEkiVLlGSurKyMc+fO\nkZCQQGRkJCtWrOD7779X6klKSmLdunXEx8eTlZXFli1bAJg5cyYXLlzg22+/Ze/evRQUFDBz5kzl\nuNjYWPz8/EhJScHFxYU5c+bUauepU6eYNm0awcHBJCUl8frrrzNy5EgqKytJSkpi3759fPvttyQm\nJtKiRQuNBOOuoqIi/Pz8cHd3Jzk5mQULFrBgwQISEhKYN28e3t7e+Pr6snv37lrHuru7s3fvXsaP\nH090dDSZmZkYGxszf/58jIyMNMoWFhYyatQo3nvvPVJTU/H39+fjjz/mxo0bSpn09HQmTJhAaGgo\nTk5OAJSUlJCVlUV8fDwrV65ky5YtpKenAzBp0iS0tLSIi4tjw4YN7N69W0lu586di4eHB6mpqYSH\nhxMREcHFixfr3C8A27dvx93dXdlOTEykZ8+etco5Ojoye/ZsAHbv3s2BAwfYuHEjx48fx9/fn5CQ\nEG7evAlAaWkpLVu25Mcff6RXr17MmjWLkpIS4uLiiImJISEhgW3btpGamkpkZCTh4eGkpaURFhZG\nREQEmZmZXL58meXLl7N582aSk5NxcHBg/vz5ACxdupSXXnqJo0ePsmnTJvbs2UNSUhIA2tra9OjR\ngx07dty3vUIIIYQQTxtJEJ8ia9asYfDgwSQnJzN8+HDs7OyYOHEi169fB8Db25vY2Fju3LlDWVkZ\n8fHxeHl5KccPHjyYhg0b4uDgQHV1NYMGDcLAwABnZ2fUajV5eXlK2aCgIAwNDenYsSN9+vRhz549\nyr4PPviAZs2aYWxsjKOjI1lZWZSXl7N//34CAwMxMTFRRt727dvHrVu3AJRn+vT19fH29iYzM7NW\nG7dv306fPn2wsbFBT08PPz8/qqqqSElJoVGjRhQWFhIVFcXly5eZM2cOCxcurFVHXFwc5ubm+Pr+\nf/buPS7n+3/8+KPT5ZyKEONDDtlm1aV0wBaxCsschswQrWX4MOfa5nyaw7DIIWvWHGaLJsxhWI5T\nRGTzcfhmDKUToUhXV9fvjz69f66VZPiUPO+32263rvf7/Xq9nu/X673tel6v1/v9HoiJiQl2dnb0\n7duXLVu2PLaPXV1d2bhxI1WrVuWrr77Cw8OjSOJdaP/+/TRq1IjevXtjZGSEu7s74eHhqFQqAC5c\nuMBHH33E+PHjad++vV5Zf39/VCoV9vb2WFtbc+XKFdLS0jh48CBBQUFUrVqVV155BT8/P+U+0xo1\nahAdHU10dDSvvPIKx48fp0mTJqXul/z8fE6ePImtra2yLTMzEwsLixL7pHPnzoSHh1O7dm1SUlKo\nVKkSDx48UGaOoeDaU6lUGBkZsWfPHj755BNq1qxJrVq1WLFiBW5ubrz++utERkbSuHFj0tPT0Wg0\nVK5cmdQGearPAAAgAElEQVTUVKpUqYJGo+HHH3/k3LlzjBgxgvXr1yvnffz4cXbv3k3VqlWJjo6m\nbdu2StutWrXi2LFjjxtaIYQQQoiXgiSIL5FKlSrh6+vLhg0bOHHiBKGhofz55598+umnALRr1w6d\nTkdcXBz79u3DxsZGWUoIBcslAYyMjAAwNTUFCmZhoCCBKGynbt26Srl69eqRnp5epB4AExMTtFot\nd+7cQaPRUL9+fWVfgwYN0Ol0ylLFhxMRY2NjZZngw5KTk/nxxx9xdHRU/snIyCA5OZk33niDuXPn\ncvDgQbp3706XLl3Yv39/kTpu3rypFwdA/fr1uXHjxiP79mGtWrVizpw5HDhwgH379tGrVy/GjRun\nLHkslJGRQb169fS22draUrlyZaBg6WzLli3Zvn17kTb+3hf5+fkkJyej0+l4++23lXOfOXOm0n9z\n586lSZMmTJs2DScnJz799FOys7NL3S+ZmZnk5ORgaWmpbLO0tNQb20JarZbMzEwANBoNs2bNwtnZ\nmYCAAOUhRYXXC0Dt2rUBuH37NhqNRu/6adSoEfXq1cPQ0JDly5fj7OzMoEGDlFm//Px8LC0tWb16\nNb///js+Pj506NCBzZs3AzBhwgTatm3LokWLcHFxYfjw4XoxW1pa6v24IYQQQgjxMpME8SWxY8cO\n3N3dlaSqUqVKtG3blo8//phz584BBYlfly5d+OWXX/jll1/0lpcCGBgYlKqtv88OJSUlFUmE/q52\n7dqoVCquX7+ubLt27RqGhoaYm5uXql0o+LLv5+dHXFyc8k9UVBTvvPMOycnJWFtbs27dOmJjY+nd\nuzeffPIJWq1Wrw4rKyu9OApjKUxiSuLt7a33ZNhXXnmF4cOH06xZM86fP693bJ06dYokJitWrFDu\nh/Px8SEkJISLFy+yadOmUp27sbExv/32m3Lu0dHRrFu3Dp1Ox4ULFwgKCuLAgQNERESQkJDA+vXr\nS90vhR5OzN9880327NlT5Jj9+/fTsWNHsrKyWLRoETqdjkOHDhEVFcWoUaOKHF94bVlYWGBiYqLX\nL4cOHWLbtm2sWbOGCxcusHfvXnbs2MHs2bPJy8sDCpL6qlWrEhYWxrFjxxg3bhyfffYZKSkpnD9/\nHn9/f/bs2cOuXbvIzs4mODhYqV+r1So/cgghhBBCvOzkW9FLwtXVlXv37jF79mwyMjLQ6XRcuXKF\njRs30rFjR+W47t278+uvv3Ls2DG6dOnyj9v78ssvyc3NJSEhgaioKHr06FHi8YaGhnTv3p2FCxdy\n8+ZNbt++zfz583Fzc1NmKkujZ8+eRERE8Mcff6DT6dizZ4+SHJ4+fZqAgACuXr1KtWrVMDU1xdTU\nVJkRLeTm5kZ6ejpr165Fo9Fw+vRpIiIiiiTMxfH09GT58uUcPXoUrVZLdnY227dvJzk5GVdX1yLt\nXL9+naioKLRaLb/++itr1qzBzMwMKJhdNTU1VV55kZaWVmLbVlZWODg4sGDBAnJycsjMzGTUqFEs\nXrwYAwMDZs2axerVq8nLy6NOnToYGhpiZmZW6n6xsLCgSpUqyowkwPDhwzl+/DiLFi0iMzMTrVZL\nTEwMU6dOxc/Pj+rVq5OVlaUsH71165by+o7C5O5hRkZGdO3aleDgYLKyskhLS2P+/Pnk5OSQlZWF\niYkJJiYmZGdnM2/ePDQaDXl5eVy/fp0hQ4bwxx9/UKlSJczNzalUqRJVq1ZlxYoVLFy4kAcPHlCr\nVi2MjIz0fnRIS0t77A8YQgghhBAvC+OyDkD8b5ibm7NhwwaWLFnCO++8w71796hVqxbe3t6MGDFC\nOc7W1hYTExPs7e0fe29ZSapVq0aHDh2oXLkyn332GW3atHlsmaCgIBYsWED37t158OABnTp1Upa/\nllabNm0IDAxk4sSJJCUl0aBBA5YsWYK1tTXW1tacP3+e/v37k52dTZMmTfRmkgrVrFmTr7/+mjlz\n5rB48WIsLCwYN24cHh4ej21/xIgRVK9enTlz5nDt2jUMDAywtbUlLCysyLJVc3NzVq1axdy5c5kx\nYwavvPIKISEhRWZMvb29iYyMZMaMGUyaNKnE9hctWsScOXNwd3dHq9Xy1ltvMXXqVKAgaZ8+fTrh\n4eGYmJjg7e2t3P9Ymn4BcHFx4dSpU7Rs2RIoWD78ww8/sHjxYrp27cr9+/dp0KABw4cP5/333wdg\n1KhRTJo0iTZt2mBqasq7775Lo0aNSExMxMbGpkgbkydPZs6cOXh4eGBgYEC/fv3o06cPGRkZjB8/\nHldXV6pVq4a7uzutW7cmMTGRQYMGKQ/5KVwivGTJEmrUqMG0adOYPHmych9n4YOLCp0+fbpI8i6E\nEEII8bIy0BV3I5d4qQ0ZMoT33nuPbt26PXHZa9eu0alTJ06ePFnkqZ3ixbdjxw42b96svNbkRZeX\nl4e7uzvfffcdjRs31ttXza7o01mFEBXH5b2RRbaZmVUlM/NeGUQjHkXGpHyScSl/LC1rPLO6ZImp\nUCQlJbF7927Onz9P586dyzocUQ55eXmRmprK5cuXyzqUZ+KXX37B2dm5SHIohBBCCPGykiWmQhEe\nHk5kZCQzZ86kUqVKZR2OKIcMDQ2ZMWMGS5YsYcmSJWUdzlPJy8tj7dq1LFu2rNj9xc0uvKjkl97y\nR8ZECCFEeSVLTIUQohhpaXfLOoRnRpKR8kfGpHyScSl/ZEzKJxmX8keWmAohhBBCCCGEeOYkQRRC\nCCGEEEIIAcg9iEIIUazGnXuVdQhCiCdQke4bFkKIsiQziEIIIYQQQgghAEkQxQvg/v37pKenl3UY\nLy2dTsf169fLOgwhhBBCCPE/8D9LEG1sbLCzs0OtVqNWq7G3t8fDw4OIiIinrjsyMpJevZ7vcrAL\nFy7g4eFB69at2b59e5H9ubm5hISE4OXlhVqtxs3NjdmzZ5OdnQ0UvEDexsZG+VzWsrKymDZtGu3b\nt8fe3h53d3cWLFhAbm4uALGxsTg7O5dxlAUGDBjAmTNnnrjc0qVLee2115RrTq1W06dPH/bu3fuP\nYwkMDGTevHn/uPzzdPr0acaOHQsUxNmqVSvl3zVHR0dGjhxJampqqepyd3cnOjoagPnz57Nu3boi\nxyQlJen1rY2NDfb29srnuLi4ct1fAMOGDSMxMbGswxBCCCGEKDf+pzOIERERxMfHEx8fz4kTJxg5\nciRTpkx5Ib6g7du3jzp16nDixAneeecdvX15eXn4+fmRkJDAihUriI+PZ8OGDSQmJvLxxx+XUcQl\nmzlzJqmpqURFRXHq1CnWrFlDTExMufwyn5mZ+Y/Ldu7cWbnmjh07xtChQ5kwYQL79+9/dgGWA1qt\nlsmTJzNmzBhl28CBA4mPj+fUqVMcOnQIAwMDpk6d+sR137p1q9jt9evXV/r28OHDAGzfvl3Z5ujo\n+M9O5n9o9OjRTJ48uazDEEIIIYQoN8psiamRkRHdu3enevXqXLx4EShIBCZMmICrqyvu7u6EhoZS\n+JrGW7duMW7cONzd3bGzs8Pb25sTJ04UqTcyMpJhw4YRGBiIWq3Gw8OD48ePM27cONRqNd26dePc\nuXPFxnTlyhUCAgJo06YNnTp1YvXq1eh0OkJCQggJCeHkyZO0adOmSLnt27dz5coVgoODadKkCQAN\nGjRg4cKFmJqakpaWphwbHh5Op06dcHBw4IsvvlC2nz17Fl9fX9q3b4+dnR1Dhw5VllVmZ2czffp0\n2rVrR7t27fjss8+4e7fgHW1JSUkMGjQIR0dHOnfuzPz585U++/DDD1m5cmWx53rmzBnc3d2pVasW\nAP/6178ICgrC1NS02OO/++47vL29cXBwoG3btixduhSARYsWMWrUKOU4nU6Hu7s7Bw8eBGDDhg14\neHjg7OzMiBEjlL7Izc0lKCgIZ2dn2rdvz6hRo4pNREaMGEFSUhKjR4/mu+++0+vDNm3aMHToUC5d\nulRszH9nYmJCly5d8PPzIzg4+LHnBgUz39OnT6dNmzasWrVKr76jR4/i5OTEkSNHuHbtGo6OjoSG\nhtKuXTtcXV2ZM2eOcmxJ1/bZs2fp27cvjo6OeHl58c033yjlFixYQPv27XF1dcXPz4+rV68We267\ndu2ibt26NGzYsNj9VapUoXv37vznP/9Rtv3+++988MEHODg44OXlRWRk0Qc8rFmzhm3btrF27Vq9\ncX4S169fZ8iQITg4ONC9e3fOnj0LFPy7+v7779OnTx+cnZ25cuXKI2OaM2cOU6ZMUer08fFRZksB\n/Pz82Lx5M/Doay42NpYuXbrg7++Pk5MTsbGxvPrqq+Tl5XH06NF/dG5CCCGEEBVNmSWIubm5fPvt\nt2g0Guzt7QGYOHEiBgYG7Nu3j++++46tW7cqXxAXLFgAwI4dOzh+/DgODg58+eWXxdYdHR3NW2+9\nxYkTJ7Czs8PX1xcPDw/lC+Hy5cuLjWfIkCE0bdqUI0eOEBoayg8//MDGjRsZMWIEAQEBdO7cmbi4\nuCJlDx06hJubG5UqVdLbbmFhwbJly7C0tFS2/fXXX+zcuZN169axbt06JckdPXo0nTp14tChQ+zf\nv5+7d+8qy/qmTJnCpUuX2LZtGzt27CA9PV35srx48WJatGjBsWPHWLduHT///LPyZffrr79m2LBh\nxfZR165dmTt3LjNnzmTv3r1kZGTg6OjI6NGjixwbFxfHypUrWbp0KSdOnCA4OJiQkBCuXLnCu+++\ny4EDB5SlsydOnODBgwe0a9eOnTt3EhoaSkhICAcPHqRhw4bKDFdUVBSJiYlER0ezZ88e7t27pySA\nDwsJCaF+/fp89dVXDBo0iB9++IGwsDBCQkI4cuQIrVu3xt/fn5ycnGLPszhvvvkmZ8+e5d69eyWe\nW6EHDx5w5MgRBgwYoGyLj49nzJgxLFq0iHbt2gFw9+5drl27RnR0NCtWrGDDhg3Ex8cDJV/bs2bN\nwsvLi7i4OJYuXUpISAh//vknR48eZefOnWzbto1Dhw5Rr149veT1YZs2bcLT0/OR55yVlcXWrVvp\n0KEDADdv3sTX1xdPT09l5njevHkcOHBAr9yQIUPw9vZm4MCBekn1kzh8+DBjxowhNjaWFi1aKP8u\nA5w8eZKxY8eyd+9eatSo8ciYOnbsyJEjR4CCH0wuXrzIsWPHgIJ7VE+cOEGHDh1KvOYALl26hJeX\nFwcOHMDBwQEAT09PNm3a9I/OTQghhBCiovmfJog+Pj44ODjwxhtv4ODgwLFjxwgPD6devXqkpaVx\n8OBBgoKCqFq1Kq+88gp+fn7KPYpjxoxh+vTpGBkZkZSUhKmpKSkpKcW206BBA7p27YqhoSFOTk7U\nr18fT09PVCoVLi4uJCUlFSlz4sQJ7t69y9ixY1GpVDRt2pQPP/yQn3766bHnlZmZiYWFRan6YPTo\n0ahUKl599VWaNGnCtWvXAAgLC2PAgAHcv3+flJQUzM3NSUlJIScnh927dzNhwgQsLCyoWbMmkyZN\nYufOndy/f58aNWpw/Phxdu/eTdWqVYmOjqZt27aPjWPkyJHMnTuXpKQkAgMDadu2Lf3799ebYSr0\n+uuvExkZSePGjUlPT0ej0VC5cmVSU1Np2rQpzZs3Z9++fUDBbOo777yDkZERmzZtwtfXl+bNm1Op\nUiXGjh3L6dOn+fPPP6lRowZXrlzhp59+4tatW4SGhhabnP5dVFQUvr6+tGzZEpVKxfDhw8nNzVWS\nhdKoWbMmOp2O7OzsEs+tULdu3VCpVFSvXh0ouB/1o48+Yvz48bRv316vbn9/f1QqFfb29lhbW3Pl\nypXHXts1atQgOjqa6OhoXnnlFY4fP06TJk2oXr06GRkZRERE8NdffzFz5kzmz59f5Hzy8/M5efIk\ntra2etvXrVuHo6MjDg4OODo6EhMTQ+/evYGCJdNWVlYMHDgQExMT7Ozs6Nu3L1u2bCl1P5aWl5cX\ntra2GBsb4+HhoVzzAJaWlri6ulKjRo0SY3J0dCQzM5OrV68SFxeHq6srBgYGJCYmEhMTQ4sWLahV\nq1aJ1xyAgYEB3t7eVKlSBWPjgrf8tGrV6omuHyGEEEKIiux/+h7EjRs30qJFC65evcrIkSMxNzdX\nvtQmJyej0+l4++23lePz8/MxMzMDIDU1ldmzZ5OYmEiTJk0wMzNTluj9XWEZKFjKWqNGDeWzoaEh\n+fn5RcpkZGRQt25d5UsjFNxjdePGjceeV+3atR/5lM2MjAxlGSegt4TTxMQErVYLQEJCAv7+/mRn\nZ2NjY8Pt27exsLDgzp07aDQa6tevr5Rr0KABOp2O1NRUJkyYQHBwMIsWLWLcuHG89dZbzJo1i9q1\naz82bg8PDzw8PMjPz+f8+fOEhobi5+enPJykkKGhIcuXL2f37t3UqlWLVq1aASj92KNHD3bs2EHX\nrl3ZvXs3YWFhQMGYLlmyhGXLlil1GRgYkJSUhJeXFzdv3iQyMpLZs2fTokULZsyYUSTJKa4/H+4L\nQ0NDrKysHvljQXFu3bqFSqWiVq1aaDSaEs8NKNKXsbGxqNVqtm/fznvvvae37+EfCoyNjcnPz3/s\ntT137lyWLFnCtGnTuHnzJt26dWPy5Mm88cYbzJ07lw0bNhAcHEyDBg0ICgpSZgELZWZmkpOTozdT\nDfDBBx8wadIkoGCGfPPmzQwaNIgdO3Zw8+ZNvX6Eguu9uBnyp1WzZk3l74eveUAv5pJiMjExoV27\ndvz222/8+eefODs7o1KpOHbsGBcuXKBjx45AydecsbExNWvWRKVS6bVhaWlJeno6Wq0WIyOjZ3ru\nQgghhBAvmjJZYtqwYUOWL1/OL7/8otwjZ2lpibGxMb/99htxcXHExcURHR2tLLMcO3YsnTt3JiYm\nho0bN+Ll5fVMYypMMvLy8pRt165dK1Wi9eabb3Lw4MEiyxxv3ryJm5sbMTExJZa/ceMGkyZNYv78\n+Rw+fJiwsDCaN28OFCQnKpVK7zUD165dw9DQEHNzc86fP4+/vz979uxh165dZGdnP3YpYEpKCra2\ntsoySkNDQ1599VWmTp1KRkZGkSddrlmzhgsXLrB371527NjB7Nmz9fqpa9euxMbGsmfPHmrVqsVr\nr70GFIzp559/roxnXFwcP/30E23atOHy5cu4uLiwadMmjhw5gqOjIxMnTnxMTxckDA/3RX5+PklJ\nSXpJ+OMcOnSI1157DUNDw8eeGxQkGA/z8fEhJCSEixcvlmppYknXtk6n48KFCwQFBXHgwAEiIiJI\nSEhg/fr1JCcnY21tzbp164iNjaV379588sknegnWwx71gwmASqWif//+qFQq4uPjsbKyKvLqitJe\n78/L42Jyc3Pj6NGjHDt2DCcnJ1xcXIiNjeXQoUNKgljSNfcoWq0WAwODIuMshBBCCPEyKrN7EAtn\nQ0JCQjh37hxWVlY4ODiwYMECcnJyyMzMZNSoUSxevBgouIeqSpUqyrKy1atXo9Fonlk8tra21K5d\nm0WLFpGbm0tiYiJhYWF4e3s/tmyXLl1o0KABn3zyCX/99RcAiYmJjBw5EgcHh8e+LqLw/r3KlSuj\n0+k4cOAAu3btQqPRYGhoSPfu3Vm4cCE3b97k9u3bzJ8/Hzc3N0xNTVmxYgULFy7kwYMH1KpVCyMj\nI8zNzUtsr27dutjb2+s9QfbmzZuEhoZiY2NDgwYN9I7PysrCxMQEExMTsrOzmTdvHhqNRkmkLCws\ncHFxYd68eXTv3l0p17NnT9asWcOVK1fIz89n7dq19O3bl/v377Nv3z7GjRtHeno6NWvWpFq1anoz\nvw8zMTEhKysLKJitDA8P5/z58+Tm5ir3k7q4uJR4zlAwi7Zt2zbCw8P597//Xapze1Q8pqamyisc\nHn4IUXFKurYNDAyYNWsWq1evJi8vjzp16mBoaIiZmRmnT58mICCAq1evUq1aNUxNTTE1NS0yy2Vh\nYUGVKlVKfIVFfn4+UVFR3Lt3j1atWuHm5kZ6ejpr165Fo9Fw+vRpIiIiir3eVSqV0v/P0+NiKkwQ\nU1JSaNGiBS4uLuzfv5+8vDxatmwJlHzNPUpaWprS70IIIYQQL7sy/UbUq1cvnJyc+PTTT9FqtSxa\ntIiMjAzc3d3x9PSkTp06ymP5Z8yYQVhYGK1bt2bkyJH07NmTW7duPfIR/E/KxMSElStXcvHiRdq1\na4evry/vvfcegwcPfmxZIyMjwsLCaNSoEb6+vqjVavz9/bGzs2P58uWPnZlo2rQpH3/8MYMHD8bJ\nyYkVK1bg4+OjPJ0zKCiIxo0b0717dzp37oy5ublyL9q0adNITU2lffv2dOjQgTp16hAQEACU/BTT\nkJAQWrRogb+/P/b29nTp0oX09HRWr15d5IvykCFDMDY2xtXVFU9PT3Jzc2ndurXe60l69OhBSkqK\nXoL47rvv0qdPH/z9/XF0dCQqKopVq1ZRs2ZNBg0ahK2trfL00JMnTzJ37txiY+3ZsyeTJ09m+fLl\nvPvuuwwdOpQRI0bg7OzMsWPHWLNmDVWrVi227N69e5X38r355pv8+OOPBAcHK/cOlubcHsXb25tW\nrVoxY8aMxx5b0rX95ZdfEhMTg7OzM127dsXV1ZXevXvj5eVFr1696N+/P2q1Wom9OC4uLpw6dUpv\n29q1a5Vzd3R0JDw8nODgYBo1akTNmjX5+uuv2blzJ87OzowbN45x48bh4eFRpG5PT092796Nn5/f\nY8/zaTwuptq1a9OwYUMcHBwwMDCgUaNGmJub6y25Lemae5TTp0/j6ur6XM9NCCGEEOJFYaAraV2a\nEOKFsGPHDjZv3qzc/ylKr1evXsorSB5Wze7tR5QQQpRHl/cWfVXPkzIzq0pm5r1nEI14VmRMyicZ\nl/LH0rLG4w8qJVlTJUQF4OXlRWpqKpcvXy7rUF4oCQkJVK5cWWYQhRBCCCH+S2YQhagg4uPjCQ8P\nZ8mSJWUdygvD39+fSZMm0axZsyL70tLulkFEz4f80lv+yJiUTzIu5Y+MSfkk41L+PMsZREkQhRCi\nGJIgiudJxqR8knEpf2RMyicZl/JHlpgKIYQQQgghhHjmJEEUQgghhBBCCAGAcVkHIIQQ5VHjzr3K\nOgQhxCM8iyeWCiGEKJ7MIAohhBBCCCGEACRBFEJUQFevXi3rEIQQQgghXkiSIArxArGxseHChQtF\ntjs7OxMbG1sGEZWORqNhwIABpKenExsbi42NDWq1GrVajZ2dHZ6enoSGhpKfn//UbZ09e5b+/fsr\nnwcOHMi6deuKPXbr1q0sXbr0qdsUQgghhKgoJEEUQjx333zzDa6urtSuXRsAMzMz4uPjiY+P59Sp\nUyxYsIBNmzbx5ZdfPnVbd+/eRaPRlOpYb29vDh06xP/93/89dbtCCCGEEBWBJIhCVDDu7u5ER0cr\nn+fNm0dgYCAAgYGBzJ8/Hx8fH+zt7fnggw9ISEjAx8cHtVrN0KFDycrKAgqWaQ4bNgw3NzdsbW3x\n8fEhMTERgKVLlzJ+/HgCAgJQq9V07dqVw4cPFxvPvXv3+Pbbb+nbt2+x+w0MDLC1tWXWrFmEh4eT\nmZkJQFJSEsOGDcPZ2RkPDw82b96slHlUbBkZGfj7+5OZmYlarebWrVsAnDt3jr59+6JWq+nfvz/X\nr19X2u7ZsyerVq16mi4XQgghhKgwJEEU4gXj4+ODo6Oj3j+3b98udfnIyEhmzZrFkSNHSE9PZ/jw\n4cyePZv9+/dz/fp1oqKiAPj888+xtrZm3759xMTEYG5uzsqVK5V6du3aha+vL7Gxsbi5uTFz5sxi\n29u7dy/W1tbUqVOnxLicnJwwMjLi9OnTaLVahg0bRvPmzTl06BDBwcEsXryYmJiYEmOrVasWq1ev\nVmYozc3NATh48CALFy7kt99+w9jYmBUrVijtenp6snPnTrKzs0vdh0IIIYQQFZW85kKIF8zGjRtp\n0aKF3jZnZ+dSl+/YsSPNmjUD4I033kClUtG0aVMA7OzslNm1L774AnNzc7RaLUlJSZiZmSn7AOzt\n7XF1dQUKlmquWbOm2Pbi4uKwtbUtVWympqZkZWVx5swZkpOTGTNmDIaGhrRs2RIfHx8iIiJwcXF5\nbGx/169fPxo1agQUzLAeOHBA2WdhYUGdOnU4deoU7dq1K1WcQgghhBAVlSSIQrxkatasqfxtZGSE\nqamp8tnQ0BCdTgfApUuXWLBgASkpKTRr1gwDAwNlHxQkVoWMjY319j3sxo0buLi4PDYurVbLnTt3\nsLKyIikpiaysLJycnPT2v/7666WKraRzNjExQavV6u23tLTkxo0bj41RCCGEEKKikwRRiArG0NBQ\n7yEthff0FTIwMHhsHbm5uYwcOZK5c+fi5eUFwLJly/7Rk1INDAxK9XTS48ePk5+fT/PmzcnPz6du\n3brs379f2Z+eno5Op3umsRXKy8vDyMjoH5cXQgghhKgo5B5EISqYxo0bs3PnTnJycjh79iy//vrr\nE9eh0Wh48OABVapUAeDUqVNs3Lix1E8HfZiVlRVpaWmP3K/T6Th58iRTp07F39+fGjVqYGdnR+XK\nlfn666/RaDTcuHGDIUOGsH79+sfGplKpyM3NJTc3t9QxpqWlUbdu3Sc+NyGEEEKIikZmEIWoYMaN\nG8eUKVNwdXXl9ddfp1evXsrTPEurWrVqTJ8+nc8//5x79+7RqFEjfHx8WL9+PXl5eU9Ul6urK998\n843etsKnjELBMlcrKysGDhzIBx98ABQsAw0NDWXWrFmsXr0aIyMjunbtyogRIzAxMSkxNhsbG5o1\na4azszNbtmx5bHwpKSncuXNHiUcIIYQQ4mVmoCvpxh0hhHhK9+/fp3PnzkRGRpbLWbp169aRkJDA\n/Pnz9bZXs3u7jCISQjzO5b2Rz6VeM7OqZGbeey51i39GxqR8knEpfywtazyzumSJqRDiuapSpQqD\nBw/m+++/L+tQitDpdGzatImAgICyDkUIIYQQolyQJaZCiOfO19eXwYMHk5aWhqWlZVmHo4iKiqJj\nx4iLUk4AACAASURBVI7Kaz4e9rxmKMqC/NJb/siYCCGEKK8kQRRCPHcqlapcziD26NGjrEMQQggh\nhChXZImpEEIIIYQQQghAEkQhhBBCCCGEEP8lS0yFEKIYjTv3KusQhHjpVKR7f4UQ4kUlM4hCCCGE\nEEIIIQBJEIUQFdDVq1fLOgQhhBBCiBeSJIhCvEBsbGy4cOFCke3Ozs7ExsaWQUSlo9FoGDBgAOnp\n6cTGxmJjY4NarUatVmNnZ4enpyehoaHk5+c/dVtnz56lf//+yueBAweybt26Yo/dunUrS5cufeo2\nhRBCCCEqCkkQhRDP3TfffIOrqyu1a9cGwMzMjPj4eOLj4zl16hQLFixg06ZNfPnll0/d1t27d9Fo\nNKU61tvbm0OHDvF///d/T92uEEIIIURFIAmiEBWMu7s70dHRyud58+YRGBgIQGBgIPPnz8fHxwd7\ne3s++OADEhIS8PHxQa1WM3ToULKysoCCZZrDhg3Dzc0NW1tbfHx8SExMBGDp0qWMHz+egIAA1Go1\nXbt25fDhw8XGc+/ePb799lv69u1b7H4DAwNsbW2ZNWsW4eHhZGZmApCUlMSwYcNwdnbGw8ODzZs3\nK2UeFVtGRgb+/v5kZmaiVqu5desWAOfOnaNv376o1Wr69+/P9evXlbZ79uzJqlWrnqbLhRBCCCEq\nDEkQhXjB+Pj44OjoqPfP7du3S10+MjKSWbNmceTIEdLT0xk+fDizZ89m//79XL9+naioKAA+//xz\nrK2t2bdvHzExMZibm7Ny5Uqlnl27duHr60tsbCxubm7MnDmz2Pb27t2LtbU1derUKTEuJycnjIyM\nOH36NFqtlmHDhtG8eXMOHTpEcHAwixcvJiYmpsTYatWqxerVq5UZSnNzcwAOHjzIwoUL+e233zA2\nNmbFihVKu56enuzcuZPs7OxS96EQQgghREUlr7kQ4gWzceNGWrRoobfN2dm51OU7duxIs2bNAHjj\njTdQqVQ0bdoUADs7O2V27YsvvsDc3BytVktSUhJmZmbKPgB7e3tcXV2BgqWaa9asKba9uLg4bG1t\nSxWbqakpWVlZnDlzhuTkZMaMGYOhoSEtW7bEx8eHiIgIXFxcHhvb3/Xr149GjRoBBTOsBw4cUPZZ\nWFhQp04dTp06Rbt27UoVpxBCCCFERSUJohAvmZo1ayp/GxkZYWpqqnw2NDREp9MBcOnSJRYsWEBK\nSgrNmjXDwMBA2QcFiVUhY2NjvX0Pu3HjBi4uLo+NS6vVcufOHaysrEhKSiIrKwsnJye9/a+//nqp\nYivpnE1MTNBqtXr7LS0tuXHjxmNjFEIIIYSo6CRBFKKCMTQ01HtIS+E9fYUMDAweW0dubi4jR45k\n7ty5eHl5AbBs2bJ/9KRUAwODUj2d9Pjx4+Tn59O8eXPy8/OpW7cu+/fvV/anp6ej0+meaWyF8vLy\nMDIy+sflhRBCCCEqCrkHUYgKpnHjxuzcuZOcnBzOnj3Lr7/++sR1aDQaHjx4QJUqVQA4deoUGzdu\nLPXTQR9mZWVFWlraI/frdDpOnjzJ1KlT8ff3p0aNGtjZ2VG5cmW+/vprNBoNN27cYMiQIaxfv/6x\nsalUKnJzc8nNzS11jGlpadStW/eJz00IIYQQoqKRGUQhKphx48YxZcoUXF1def311+nVq5fyNM/S\nqlatGtOnT+fzzz/n3r17NGrUCB8fH9avX09eXt4T1eXq6so333yjt63wKaNQsMzVysqKgQMH8sEH\nHwAFy0BDQ0OZNWsWq1evxsjIiK5duzJixAhMTExKjM3GxoZmzZrh7OzMli1bHhtfSkoKd+7cUeIR\nQgghhHiZGehKunFHCCGe0v379+ncuTORkZHlcpZu3bp1JCQkMH/+fL3t1ezeLqOIhHh5Xd4bWabt\nm5lVJTPzXpnGIPTJmJRPMi7lj6VljWdWlywxFUI8V1WqVGHw4MF8//33ZR1KETqdjk2bNhEQEFDW\noQghhBBClAuyxFQI8dz5+voyePBg0tLSsLS0LOtwFFFRUXTs2FF5zcfDynom41mSX3rLHxkTIYQQ\n5ZUkiEKI506lUpXLGcQePXqUdQhCCCGEEOWKLDEVQgghhBBCCAFIgiiEEEIIIYQQ4r9kiakQQhSj\ncedeZR2CEBVaRbrPVwghKhKZQRRCCCGEEEIIAUiCKIQQQgghhBDivyRBFOI5GDhwIOvWrSt2n7u7\nOx9++OETlbGxscHOzg61Wo1arcbe3h4PDw8iIiIeGYONjQ0XLlwoVbwajYYBAwaQnp4OwMGDB+nb\nty9qtRoHBwcGDx7MiRMnSlXXP5GVlYWjoyNbt25VtmVnZzNo0CDs7e2ZMWPGc2n36tWrfPjhh+h0\nuudSvxBCCCHEi0YSRCHKwKFDh574tQ8RERHEx8cTHx/PiRMnGDlyJFOmTCExMfGp4/nmm29wdXWl\ndu3aXL58mdGjRzN8+HDi4uI4evQoHh4e+Pn5cePGjaduqzjR0dH07t2b7t27K9vOnTvH6dOnOXLk\nCFOmTHku7TZs2BBra2s2bdr0XOoXQgghhHjRSIIoRBno27cv8+fP58qVK/+ovJGREd27d6d69epc\nvHjxqWK5d+8e3377LX379gXg7NmzmJub4+bmhpGRESqVigEDBtC/f38yMjKAgpm3YcOG4ebmhq2t\nLT4+PkqiunTpUgICAujatStvvfUWWVlZHDt2jN69e6NWq+nWrRuHDx8GCmYJp0+fzhdffMH27dv5\n7LPPuHv3LrGxsQwZMoScnBzat29PfHw8Z8+exdfXl/bt22NnZ8fQoUOVGc+srCzGjBmDg4MDXbt2\nZdmyZbi7uyvnGB4eTqdOnWjTpg1Dhw7l0qVLyr5+/fqxYsUK8vLynqofhRBCCCEqAkkQhSgD7u7u\neHl5MWnSJLRa7ROXz83N5dtvv0Wj0WBvb/9Usezduxdra2vq1KkDgLOzMzk5OfTv35/w8HB+//13\n8vLymDRpEq+//joAn3/+OdbW1uzbt4+YmBjMzc1ZuXKlUmdMTAxLlizh559/5sGDBwwbNoz333+f\nuLg4xo0bx7///W/u3LnDlClTuHTpEtu2bWPHjh2kp6czZcoUnJ2dWb16NWZmZsTHx6NWqxk9ejSd\nOnXi0KFD7N+/n7t37ypLcmfMmEFWVhb79+9n5cqVektVf/jhB8LCwggJCeHIkSO0bt0af39/cnJy\nAGjatClVq1YlJibmqfpRCCGEEKIikARRiDLy2WefkZqayurVq0t1vI+PDw4ODrzxxhs4ODhw7Ngx\nwsPDqVev3lPFERcXh62trfK5Vq1a/PTTTzg6OrJp0ybee+892rZty5IlS8jPzwfgiy++YNSoUWi1\nWpKSkjAzMyMlJUWp49VXX6VFixbUqFGD/fv306hRI3r37o2RkRHu7u6Eh4ejUqnYvXs3EyZMwMLC\ngpo1azJp0iR27tzJ/fv3i8QZFhbGgAEDuH//PikpKZibm5OSkkJubi67du1i7Nix1KhRg0aNGjF0\n6FClXFRUFL6+vrRs2RKVSsXw4cPJzc3l2LFjyjGtWrXi+PHjT9WPQgghhBAVgbwHUYgyUr16db74\n4gv8/Px46623Hnv8xo0badGiBVevXmXkyJGYm5vrJXb/1I0bN3BxcdHbVrduXcaPH8/48eO5ffs2\n+/fvZ86cOZiZmeHr68ulS5dYsGABKSkpNGvWDAMDA70HvVhaWip/Z2RkFElibW1tSU1NRaPRUL9+\nfWV7gwYN0Ol0pKamFokzISEBf39/srOzsbGx4fbt21hYWHD79m0ePHig18bDdWZkZOh9NjQ0xMrK\nSi+htbS0fG73VwohhBBCvEhkBlGIMuTk5MSAAQOYOHEiubm5pSrTsGFDli9fzi+//KK3rPOfMjAw\nUGYGAaZPn87EiROVzzVr1uTdd9/F29ub//znP+Tm5jJy5EiGDRvG0aNHWbt2LU5OTkXqLFSnTh29\nZAxgxYoVZGdno1KpuH79urL92rVrGBoaYm5urnf8jRs3mDRpEvPnz+fw4cOEhYXRvHlzACwsLFCp\nVCQnJyvHP9xe/fr19drIz88nKSmJWrVqKdvy8vIwNJT/HAohhBBCyDciIcrY2LFjATh16lSpyzRo\n0ICgoCBCQkI4d+7cU7VvZWVFWlqa8tnT05NffvmFiIgI7t+/j0ajIT4+nn379tGxY0c0Gg0PHjyg\nSpUqStwbN25Eo9EUW7+bmxvXr18nKioKrVbLr7/+ypo1azAzM6N79+4sXLiQmzdvcvv2bebPn4+b\nmxumpqZ6dWRnZwNQuXJldDodBw4cYNeuXWg0GoyMjHj33Xf56quvyMrK4vr166xZs0Yp26NHD8LD\nwzl//jy5ubksX74cQG/WNC0t7amX6gohhBBCVASSIArxnMXFxaFWqx+5X6VSMW/ePExMTJRtW7du\npVu3biXW26tXL5ycnPj000/RarVMmTLlka+DWLlyZbHvXgRwdXXVS05dXFwIDg4mKiqKN998kzZt\n2jBt2jRGjx6Nl5cX1apVY/r06Xz++ec4ODgwffp0fHx8uHLlSrFPAjU3N2fVqlWsX78eJycnvvrq\nK0JCQjA3NycoKIjGjRvTvXt3OnfujLm5OfPnzy9SR9OmTfn4448ZPHgwTk5OrFixAh8fH+VppBMn\nTkSlUvHmm2/y0Ucf4ejoqPTnu+++y9ChQxkxYgTOzs4cO3aMNWvWULVqVaX+hIQE2rZtW2J/CyGE\nEEK8DAx08oZoIV5q9+/fp3PnzkRGRlK3bt2yDucfOX78OK1atVJmNTds2MDWrVvZuHHjY8teuHCB\nYcOGsWfPHoyMjJTt1ezefm7xCiHg8t7Isg6hCDOzqmRm3ivrMMRDZEzKJxmX8sfSssYzq0tmEIV4\nyVWpUoXBgwfz/fffl3Uo/9jKlStZvnw5Wq2W1NRUfvjhB9q3b1+qshs2bODjjz/WSw6FEEIIIV5W\n8hRTIQS+vr4MHjyYtLQ0vSeQviimTZvG1KlTcXZ2xsTEhHfeeYePPvroseX++usvrly5wtSpU4vs\nK4+zG/+U/NJb/siYCCGEKK9kiakQQhQjLe1uWYfwzEgyUv7ImJRPMi7lj4xJ+STjUv7IElMhhBBC\nCCGEEM+cJIhCCCGEEEIIIQC5B1EIIYrVuHOvsg5BiAqnIt3bK4QQFZXMIAohhBBCCCGEACRBFEII\nIYQQQgjxX5IginLvxo0b5OXl/aOyV69efcbRiLLwNNeAEEIIIYQoPUkQhcLGxgY7OzvUajX29vZ0\n6NCBlStXlmlM6enpeHl58eDBAwACAwOZN29eqcquW7eOBQsWKJ9tbGy4cOHCU8c0cOBAWrVqhVqt\nVvqqffv2zJo1C61W+9T1l1ZcXBzu7u7PvN7Tp08zduxYAPLy8li0aBHu7u7Y29vz5ptvMmXKFG7f\nvv3M231YZGQkvXoV3AP492vgWZo8eTIxMTHPvF4hhBBCiBeVJIhCT0REBPHx8Zw6dYpVq1bx7bff\nsmfPnjKLJycnh/v37/+jsrdu3XrG0fx/gYGBxMfHK30VGhrK9u3b+fHHH59bm3/n6OjIr7/++kzr\n1Gq1TJ48mTFjxgCwfPlyYmNjWbt2LadOnWLTpk0kJyczadKkZ9puSZ7mGnicUaNGMWvWLHJzc59L\n/UIIIYQQLxpJEMUj2djYoFarOXv2rLLtl19+4Z133sHR0ZHBgwfz559/AnDt2jUcHR0JDQ2lXbt2\nuLq6MmfOHKVcZmYmEyZMwNXVFXd3d0JDQ9HpdEBBIjdu3Djc3d2xs7PD29ubEydOANC7d28A2rdv\nr8Rx/fp1hgwZgoODA927d9eLr9Du3btZtWoVe/fu5b333lO279ixA09PT9RqNRMmTFASg5ycHGbN\nmsWbb75J+/btmTdv3hMlDa+99hqtW7fm4sWLQEGitWzZMtzd3XF1dSUoKIisrCygYHZs2LBhBAYG\nolar8fDw4Pjx44wbNw61Wk23bt04d+6cEte0adN4++23sbe3x8PDg7179wIQGxuLs7OzUqefnx8T\nJkygdevWdO7cmS1btijxLViwgPbt2+Pq6oqfn98jl97u2rWLunXr0rBhQwDOnDlD27ZtadCgAQB1\n69YlKCiIunXrKmXOnz/PwIEDcXR0xNvbmwMHDij73N3dWbZsGR06dMDBwYHJkyc/cjY4Ojq62BnR\nv18DJZWLjIzk/fffp0+fPjg7O3PlyhWOHj2Kj48PLi4utG7dmlGjRikJp6WlJc2bNycqKqqk4RVC\nCCGEeGlIgige6T//+Q9nzpzhrbfeAiAhIYFPP/2U6dOnc/ToUTp27EhAQAAajQaAu3fvcu3aNaKj\no1mxYgUbNmwgPj4egIkTJ2JgYMC+ffv47rvv2Lp1K5GRBY87L1wGumPHDo4fP46DgwNffvklAJs3\nbwbg8OHDvPbaa8rfY8aMITY2lhYtWugtIy3k6elJQEAAnTt3ZtOmTcr2hIQENm/ezM8//8yhQ4fY\ntWsXAPPmzePSpUts3bqVrVu38vvvv5d6ea1Op+Po0aPExsbi6uoKwJo1a9izZw/r169nz5495OTk\nMHPmTKVMdHQ0b731FidOnMDOzg5fX188PDyIjY3l1VdfZfny5QCEhYWRmJhIZGQkJ06coFevXnr1\nPOzw4cO0a9eOY8eOMXDgQGbOnMmDBw84evQoO3fuZNu2bRw6dIh69eqxdOnSYuvYtGkTnp6eyucu\nXbrw9ddfExQUxM8//8yNGzewtrZm+vTpAGRlZeHn54eXlxcxMTF8/vnnjB8/XvnhAODnn39m/fr1\n7N69m7Nnzz6y7Ucp7hooycmTJxk7dix79+7F0tKSkSNH4u/vT0xMDDt27OD3339n+/btyvGenp5K\nG0IIIYQQLztJEIUeHx8fHB0dsbOzo0ePHrRs2RIbGxugIHno0aMHDg4OmJiY4OvrS15eHrGxsUp5\nf39/VCoV9vb2WFtbc+XKFdLS0jh48CBBQUFUrVqVV155BT8/PyIiIgAYM2YM06dPx8jIiKSkJExN\nTUlJSXlkjF5eXtja2mJsbIyHhwfXrl0r9fkNHz6c6tWrU79+fezt7bl27Ro6nY7IyEjGjx+Pubk5\nFhYW/Pvf/y5xueiCBQtwdHTE1taW1157jeDgYKZMmcLbb7+t9NXIkSOxsrKievXqjB8/nq1btyqz\nZw0aNKBr164YGhri5ORE/fr18fT0RKVS4eLiQlJSEgADBgwgODiYqlWrkpycTLVq1R7ZN/Xr16dH\njx4YGxvTo0cPsrKyyMjIoHr16mRkZBAREcFff/3FzJkzmT9/fpHy+fn5nDx5EltbW2Vbr169CA0N\n5cGDB8yaNQs3Nze6d+/O0aNHAThw4AAWFhYMGDAAY2NjnJ2d6dy5Mz/99JNSx8cff0yDBg2oXbs2\nH3/8MT///HOpx+ufsLS0xNXVlRo1alCpUiV++uknOnXqxN27d0lNTcXMzEyvD1u1asWZM2fIycl5\nrnEJIYQQQrwIjMs6AFG+bNy4kRYtWgCQlpbGp59+ytixY1m5ciXJycnExsbqLV3UaDQkJyfTuHFj\nACwsLJR9xsbG5Ofnk5ycjE6nU5InKEhGzMzMAEhNTWX27NkkJibSpEkTzMzMlOWnxalZs6byt4mJ\nyRM9GMbU1FT5W6VSodVquXnzJjk5OQwcOBADAwOgYFZQo9Hw4MEDKlWqVKSeCRMm8MEHH5CVlcX0\n6dNJTEykY8eOyv7k5GQmTpyIkZGRXn8UJn6F5w5gZGREjRo1lM+Ghobk5+cDBbOy06dPJyEhgYYN\nG9KwYcNH9o25ubleW1DQz2+88QZz585lw4YNBAcH06BBA4KCgujQoYNe+czMTHJycrC0tNTb7urq\nqsyMJiYm8v333xMQEMDevXtJSkoiMTERR0dH5XitVqs31v/617+Uv+vWrUtaWlqx8T8rD8dvZGTE\nr7/+Snh4OFCwbPr+/ft6fVinTh3y8vJIS0tTltYKIYQQQrysJEEUj2Rpacn777/PJ598onz28/Nj\n9OjRyjGXL1+mbt26ZGRklFiPsbExv/32GyqVCoDbt2+TnZ0NwNixY+nXrx/r16/HwMCALVu2PJOn\njZaWmZkZJiYmbNmyRUkQ7t27R3p6erHJ4cOqV6/OnDlzlH4KCwvDwMAAS0tLZs6cqSRWGo2Gq1ev\n0qhRI2XZbWlMnTqVpk2bsnLlSoyNjTl+/Dg7d+58ovNLTk7G2tqadevWkZ2dzfr16/nkk084ceKE\nXgJbqDB50mq1ODs7ExwcTNu2bQFo2rQpn332GVu2bOHSpUtYWlpib2/P+vXrlfI3btzQ67fU1FTl\n76SkJKysrICCRLhweTIUJKil8STlTp48SUhICBEREcqPGIMGDdI7pvAHhuL6QgghhBDiZSNLTMUj\n3blzh82bN6NWqwHo2bMnERER/PHHH+h0Ovbs2cM777xDcnJyifVYWVnh4ODAggULyMnJITMzk1Gj\nRrF48WKg4D62KlWqYGBgQGJiIqtXr1YSgMKEsvABL09CpVKVqpyRkRHe3t4sXLiQO3fucO/ePaZM\nmUJgYGCp2jExMWHevHkcP36c77//HoAePXoQEhJCamoqGo2GJUuW8OGHH5Y4M1qcrKwsKleujJGR\nEcnJyXz11VcAegnS45w+fZqAgACuXr1KtWrVMDU1xdTUtEhCZGFhQZUqVZSEzsjIiLfffpt58+aR\nkJCATqfjzp07fPfdd1SuXJk33niDDh06cOnSJbZv345WqyUxMZE+ffooD9IBCA0NJSMjg9TUVFau\nXEmPHj0AaNy4MQcPHiQjI4OMjAw2btxYbPx/vwZKW66wjKGhIZUrV0ar1bJlyxbi4uL03qmYmpqK\nsbExtWvXLnWfCiGEEEJUVJIgCj19+vRR3u/39ttvY2RkpNyv1qZNGwIDA5k4cSKtW7fmq6++YsmS\nJVhbWz+23kWLFpGRkYG7uzuenp7UqVOHqVOnAjBjxgzCwsJo3bo1I0eOpGfPnty6dYtbt25haWmJ\nm5sbnp6eT/y+ug4dOnDhwgW9h648ymeffYa5uTndunXDzc2NrKwsJYEtDWtra4YPH87ChQtJTk4m\nICAABwcH+vXrh4uLCwkJCYSGhipLP0srKCiI/fv307p1az744APc3NyoWrUqiYmJpa7Dy8uLXr16\n0b9/f9RqNT/++CPBwcHFHuvi4sKpU6eUz9OnT6dTp07K01Hd3d2JjY3lu+++o1q1apiZmfH111/z\n/fff4+zszJAhQ+jfvz99+vRR6mjZsiX9+vXD29sbFxcXAgICAOjXrx9NmzbF09OT999/ny5duhQb\n09+vgdKWg4Inn3p5eeHt7U3btm3Ztm0bPXv21Ou/06dP4+DgoCSiQgghhBAvMwPdk05pCCEqrB07\ndrB582bCwsKeSX3u7u5MnjxZ7/7M8mbUqFG89dZbeq9DAahm9/YjSggh/qnLeyPLOoQSmZlVJTPz\nXlmHIR4iY1I+ybiUP5aWNR5/UCnJPYhCCIWXlxcrVqzg8uXLyj17FVlKSgoXLlxQXqvysPL+RfZJ\nyP/Iyx8ZEyGEEOWVLDEVQigMDQ2ZMWMGS5YsKetQ/ieCg4OZOnUqJiYmZR2KEEIIIUS5IEtMhRBC\nCCGEEEIAMoMohBBCCCGEEOK/JEEUQgghhBBCCAFIgiiEEEIIIYQQ4r8kQRRCCCGEEEIIAUiCKIQQ\nFcbNmzcZM2YMTk5OdOzYkW+//VbZl5mZyahRo2jdujXu7u789NNPZRfoS6SkMfnjjz8YOHAgarUa\nd3d3Vq1aRX5+ftkF+xIpaVweNnToUAIDA/+3wb2kShqTrKwsAgMDcXBwoF27dixZsgR5xuLzV9KY\nJCcnM2zYMBwcHHB3d2fNmjVlF+hLIjc3l3feeYfffvtN2fa4/7efO3eOfv36YWdnR69evUhISChV\nW/IeRCGEqCBGjhxJTk4OYWFhZGdnExgYiIGBAYMHDyYwMJB79+7x/fffc+bMGaZMmcK//vUvWrdu\nXdZhV2iPGpN3330Xf39/unTpwowZM7h8+TKBgYFUrVqVgQMHlnXYFV5J/64U2rRpE0eOHKFnz55l\nGOnLo6QxmThxIjdu3GDdunWkpaUxfvx4GjRoQJ8+fco67AqtpDH55JNPqFevHps2bSIxMZHx48dT\nr149unTpUtZhV0gPHjxg3LhxXLx4UW97Sf9vv3fvHh9++CFdu3Zlzpw5bNy4kYCAAPbs2UP16tVL\nblAnhBDihXfmzBldixYtdImJicq27du369q1a6e7cuWKrkWLFrrLly8r+z799FPduHHjyiLUl8b/\na+/+Y6qu9ziOP8EEfyAaPzoaGtgKmDhAwGUoZiYT0WwL3Rqx1XLpRCeFopskUopaRJlibqRD56Zp\nmKwmhbXaiNCZyQ+H4SBiUBCCiskUPRzO/SPvuZd744vtDr+757weG5t8Pl/O9/X1Pfic9875fo5R\nTYqLi+1xcXF2m83mmNu7d6996dKlZkR1KUZ1+af29nZ7bGysPSkpyb5hwwYzYroUo5rU19fbQ0ND\n+83t2bPHnpmZaUZUl2FUk66uLntwcLD94sWLjrnVq1fbs7KyzIjq9Orr6+2LFy+2P/vss/bg4GD7\n999/b7fb7YOu7Z988ol9zpw5jnWmr6/PHh8fbz927Nig59RbTEVEnEBLSwtjx47l0UcfdYyFhobS\n0dFBSUkJ/v7+BAYGOuaio6OpqqoyI6rLMKpJQEAA7733Hu7u/1qG3dzcuH37thlRXYpRXX799VcA\nsrOzSU5OJigoyKSUrsWoJmfOnOHxxx/vN5eamsrWrVvNiOoyjGrS2dnJyJEj+fTTT7FarTQ2NnL+\n/HmmTp1qYmLnde7cOWbOnMnRo0f7jVdXVxuu7dXV1URFRTnWGTc3N6KioqisrBz0nGoQRUScgJ+f\nH93d3XR3dzvGfvvtNwDc3d156KGH+h3v6+vL77//fl8zuhqjmnh6ehITE+MY7+np4dixY0yfB3+0\nUwAACQ1JREFUPv2+53Q1RnW5du0aJSUltLS0sHz5crMiuhyjmpSWljJx4kQOHDhAfHw88fHxFBQU\n6B7EIWZUk5s3b7J582aKioqIiIhgwYIFzJw5U2/5HSIvvPAC69evZ+TIkf3GOzo6DNf2gebb29sH\nPacaRBERJxAREcH48ePJzs6mu7ub9vZ28vPzgT9vbPfw8Oh3vIeHB1arVU+yhpBRTaxWq+M4m81G\nRkYGt27dYsWKFWbFdRmD/a5s27aNrVu3Mnz4cJOTug6jmri5uXH27FlOnz5NXl4e6enp7N+/n4MH\nD5qc2rkN9vfrl19+Yfbs2Xz88ce8//77lJWVDbjZkwyNW7duGa7tA83fuXNn0MdWgygi4gQ8PDzY\nvXs3Fy5cYPr06SxatIikpCTgzydY/7kg3LlzhxEjRuDm5mZGXJdgVJN/bhBw584dXn/9dcrLy9m7\ndy/+/v5mRnYJRnU5cOAACQkJREREmJzStRjVxN3dHavVSl5eHuHh4SxYsIDly5dz5MgRk1M7N6Oa\n1NbWcvjwYbZv3054eDiJiYlkZGSQn5+PzWYzObnr8PT0NFzbjeYHo11MRUScRFhYGKWlpXR2duLt\n7U1zczPu7u4EBATQ2dnZ79jOzk41I/fBQDV5+OGH6enpYdWqVVRVVbFv3z41JffRQHU5deoUI0aM\n4Pjx4wCOJ1cXLlzg5MmTZkZ2egPVJCYmhtbW1n67Lk6ePJm2tjYT07qGgWpy/fp1Jk6cyKhRo/od\ne+PGDbq6uvD19TUxteuwWCyGa7vFYqGjo2PAeSN6BVFExAlcv36d5ORkrly5gp+fHx4eHnzzzTdM\nmTKF6Oho2tvbHRtwAPz4449qSIaYUU28vLxYt24dNTU1FBYWEh0dbXZcl2FUl1OnTvHZZ59RXFxM\ncXExTz31FHPnzqWgoMDs2E7NqCbTpk2jtbWVa9euOY5vaGggICDAxMTOz6gmkyZNoqmpqd+mWo2N\njYwePRofHx8TU7uWyMhIw7U9IiKCyspKx60kdrudyspKIiMjB31sNYgiIk5g7Nix9PT0sGPHDpqb\nm/niiy/48MMPSU1NZdKkScyaNYsNGzZQV1fH8ePH+fzzz0lJSTE7tlMzqklJSQlfffUVmzZtYsKE\nCXR0dNDR0cHVq1fNju30jOoSGBjY72vUqFGMHj1azcgQM6rJjBkzCA4OJiMjg/r6er799lv2799P\ncnKy2bGdmlFNnnnmGcaMGcPGjRtpbGykoqKC3NxcXnrpJd22cB8NtrYnJCRw8+ZNtmzZQkNDA9u3\nb6e7u5vExMRBH9vNrh0KREScQlNTE1lZWdTU1GCxWFi1ahWLFy8G4MqVK2RmZlJRUYGfnx9paWk8\n99xzJid2fgPVZM2aNZSWlv7X8RaLhbKyMhOSuhaj35V/t27dOh544AF27NhhQkrXYlSTy5cv89Zb\nb1FeXo6XlxcpKSmsWLFCzcgQM6pJY2Mj27Zto6qqCm9vb55//nlWrlzJsGHDTE7t3EJCQigsLCQ2\nNhYYfG2vqalh8+bNNDQ0EBISQnZ29j19HIkaRBEREREREQH0FlMRERERERG5Sw2iiIiIiIiIAGoQ\nRURERERE5C41iCIiIiIiIgKoQRQREREREZG71CCKiIiIiIgIAA+YHUBERETk/0Vvby8FBQWcOHGC\ntrY2HnzwQebMmcNrr72Gr6+v2fFERP5n+hxEERERkXv09ttvU1ZWxsaNGwkKCqKtrY3c3FysVivH\njx/Xh7eLyP89NYgiIiIi9+iJJ57gzTffJCEhwTHW0tLCvHnzOHr0KJGRkSamExH53+keRBEREZG/\n4cyZM9hsNsf3kyZN4uTJk4SGhmKz2di1axdxcXFERUWxcuVKLl++DEBfXx/79u1j3rx5hIeHk5KS\nQl1dneNxQkJC2LlzJzNmzODll18G4Ny5cyxZsoTw8HAWLlxIcXHxfb1WEXE9egVRRERE5B7t2bOH\nXbt2YbFYmD17Nk8++SRxcXF4e3sDsHPnToqKisjJyWHixInk5ORgt9spLCxk9+7dHDlyhC1bthAU\nFMRHH31EeXk5X375JV5eXoSEhBAcHMwHH3yAzWZj3LhxzJ8/n7S0NObMmUNtbS1ZWVm88847zJ07\n1+T/CRFxVmoQRURERP6GkpISDh8+zPnz57HZbHh6erJmzRqWLVtGbGws6enpLF26FIDm5maKiopI\nS0sjNjaWtLQ0kpOTAbBarcTHx/Pqq6/y4osvEhISwqZNm0hJSQH+bDYvXbrE3r17HefOz8/nhx9+\n4ODBg/f/wkXEJWgXUxEREZG/ITExkcTERP744w8qKio4evQoubm5+Pr6cvXqVcLCwhzHPvLII6Sn\np9PZ2UlXVxcRERGOueHDhzN16lR+/vlnx1hAQIDj342NjXz33XdMmzbNMdbb24uPj88QX6GIuDI1\niCIiIiL3oK6ujqKiIt544w0AvL29SUhIYP78+SxZsoSzZ88O+LOenp5/OW6z2frdz/jvx/X29rJw\n4UJSU1P7/Yy7u7aQEJGho78wIiIiIvfAZrNx6NAhqqqq+o27ubkxZswYAgIC8PHx4eLFi465pqYm\nYmNjsdls+Pv7U11d7ZizWq3U1tYyefLkvzzf5MmTaWpqIjAw0PFVXl5OUVHR0FygiAh6BVFERETk\nnoSFhfH000+zevVq1q5dS0xMDF1dXXz99df89NNP7Nixg2HDhrF7924mTJjA+PHjycnJYcqUKYwb\nN45XXnmF/Px8LBYLQUFB7Nu3j9u3b7No0aK/PF9ycjKHDh0iLy+PpKQk6urqyM3NZf369ff5ykXE\nlWiTGhEREZF71NPTQ0FBASUlJbS2tuLh4cH06dNZu3Ytjz32GL29veTl5XHixAmsViuzZs0iKysL\nX19f+vr6yM/P59ixY9y4cYPIyEgyMzMJDg4G/vyYi8LCQmJjYx3nO336NO+++y6XLl3C39+flJQU\nli1bZtbli4gLUIMoIiIiIiIigO5BFBERERERkbvUIIqIiIiIiAigBlFERERERETuUoMoIiIiIiIi\ngBpEERERERERuUsNooiIiIiIiABqEEVEREREROQuNYgiIiIiIiICwD8AeVgdUMy1XKgAAAAASUVO\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932cddb128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "ax = sns.barplot(top_20_acclaimed_albums['Score'], top_20_acclaimed_albums['Plot Text'], color=\"#00304e\")\n",
    "ax.set_ylabel(\" \")\n",
    "ax.set_yticklabels(labels=list(top_20_acclaimed_albums['Plot Text']),fontsize=13)\n",
    "ax.set_xlim(89,100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most acclaimed genre\n",
    "We limited the scores to albums who received more than 10 reviews, and determined the highest average scoring genre with more than 5 albums in the genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PPsLX1xcvLy9GjhxJeno6ALm5uURERBAQEIC7uzs+Pj589dVXALz99tskJiYSGhrK559/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\nzMS+fftq5NzCgoWoFv3666/Q19eHn58fACAzMxPNmzevsE/Tpk1x794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      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932d050fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "reviewed_albums_by_genre = acclaimed_albums[['Score', 'Genre']].groupby('Genre').count()\n",
    "reviewed_albums_by_genre.columns = ['Number of Albums']\n",
    "reviewed_albums_by_genre = reviewed_albums_by_genre[reviewed_albums_by_genre['Number of Albums'] > 5]\n",
    "reviewed_albums_by_genre['Genre'] = reviewed_albums_by_genre.index\n",
    "reviewed_albums_by_genre = acclaimed_albums.merge(reviewed_albums_by_genre, on='Genre', how='right')\n",
    "average_genre_score = reviewed_albums_by_genre[['Score', 'Genre']].groupby('Genre').mean().sort_values('Score', ascending=False).head(10)\n",
    "average_genre_score\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "ax = sns.barplot(average_genre_score['Score'], average_genre_score.index, color=\"#00304e\")\n",
    "ax.set_ylabel(\" \")\n",
    "ax.set_yticklabels(labels=list(average_genre_score.index),fontsize=13)\n",
    "ax.set_xlim(70,90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since there is no hard barrier to entry, the more albums a genre has, the more likely it is to be diluted by less-than-stelar albums. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Is Metal Racist?\n",
    "<img src=\"Images/Diversityklok.png\" align=\"left\" style=\"width: 500px;\"/>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<script type='text/javascript'>if(!window.Plotly){define('plotly', function(require, exports, module) {/**\n",
       "* plotly.js v1.31.2\n",
       "* Copyright 2012-2017, Plotly, Inc.\n",
       "* All rights reserved.\n",
       "* Licensed under the MIT license\n",
       "*/\n",
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h=1;for(u=s(t,c,t.length,e),c=0;c<o;c++)h*=e;this.imuln(h),this.words[0]+u<67108864?this.words[0]+=u:this._iaddn(u)}},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 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s=this.words[o],l=(16777215&(s<<i|a)).toString(16);a=s>>>24-i&16777215,r=0!==a||o!==this.length-1?_[6-l.length]+l+r:l+r,i+=2,i>=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 u=w[t],c=M[t];r=\"\";var h=this.clone();for(h.negative=0;!h.isZero();){var f=h.modn(c).toString(t);h=h.idivn(c),r=h.isZero()?f+r:_[u-f.length]+f+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 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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;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();var r,n;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=this.cmp(t);if(0===r)return this.negative=0,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o<i.length;o++)e=(0|n.words[o])-(0|i.words[o])+a,a=e>>26,this.words[o]=67108863&e;for(;0!==a&&o<n.length;o++)e=(0|n.words[o])+a,a=e>>26,this.words[o]=67108863&e;if(0===a&&o<n.length&&n!==this)for(;o<n.length;o++)this.words[o]=n.words[o];return this.length=Math.max(this.length,o),n!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var k=function(t,e,r){var 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vt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=Math.imul(v,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=i+Math.imul(v,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,K)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,K)|0;var 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xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=i+Math.imul(v,K)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,K)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=i+Math.imul(v,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(z,U),i=Math.imul(z,V),i=i+Math.imul(D,U)|0,a=Math.imul(D,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,K)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=i+Math.imul(v,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var Mt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(O,U),i=Math.imul(O,V),i=i+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(z,q)|0,i=i+Math.imul(z,G)|0,i=i+Math.imul(D,q)|0,a=a+Math.imul(D,G)|0,n=n+Math.imul(L,W)|0,i=i+Math.imul(L,X)|0,i=i+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,i=i+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(M,$)|0,i=i+Math.imul(M,tt)|0,i=i+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(x,rt)|0,i=i+Math.imul(x,nt)|0,i=i+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=i+Math.imul(v,ot)|0,i=i+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(p,lt)|0,i=i+Math.imul(p,ut)|0,i=i+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(h,ht)|0,i=i+Math.imul(h,ft)|0,i=i+Math.imul(f,ht)|0,a=a+Math.imul(f,ft)|0;var kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(j,U),i=Math.imul(j,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,i=i+Math.imul(D,W)|0,a=a+Math.imul(D,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=i+Math.imul(v,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(j,q),i=Math.imul(j,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,i=i+Math.imul(D,J)|0,a=a+Math.imul(D,K)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(v,ht)|0,i=i+Math.imul(v,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(j,W),i=Math.imul(j,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,K)|0,i=i+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,i=i+Math.imul(D,$)|0,a=a+Math.imul(D,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(v,pt)|0,i=i+Math.imul(v,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(j,J),i=Math.imul(j,K),i=i+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,i=i+Math.imul(D,rt)|0,a=a+Math.imul(D,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(j,$),i=Math.imul(j,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(z,at)|0,i=i+Math.imul(z,ot)|0,i=i+Math.imul(D,at)|0,a=a+Math.imul(D,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(j,rt),i=Math.imul(j,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(z,lt)|0,i=i+Math.imul(z,ut)|0,i=i+Math.imul(D,lt)|0,a=a+Math.imul(D,ut)|0,n=n+Math.imul(L,ht)|0,\n",
       "i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(j,at),i=Math.imul(j,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0,i=i+Math.imul(D,ht)|0,a=a+Math.imul(D,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(j,lt),i=Math.imul(j,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0,n=n+Math.imul(z,pt)|0,i=i+Math.imul(z,mt)|0,i=i+Math.imul(D,pt)|0,a=a+Math.imul(D,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(j,ht),i=Math.imul(j,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(R,pt)|0,a=a+Math.imul(R,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(j,pt),i=Math.imul(j,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=It,l[16]=zt,l[17]=Dt,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.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},f.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},f.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]]},f.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),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],g=r[c+d+o],v=n[c+d+o],y=h*g-f*v;v=h*v+f*g,g=y,r[c+d]=p+g,n[c+d]=m+v,r[c+d+o]=p-g,n[c+d+o]=m-v,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.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},f.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}},f.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},f.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))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.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),u=new Array(n),c=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,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),h(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=l(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){n(\"number\"==typeof t&&t>=0);var i;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 u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),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 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f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}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){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 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 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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),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),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(u)}},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=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},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];s+=a,a=s>>>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=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},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 y(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 A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.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},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.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},p.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(m,d),i(g,d),i(v,d),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(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new g;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new v}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.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\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.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)},y.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},y.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)},y.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},y.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},y.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},y.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},y.prototype.isqr=function(t){return this.imul(t,t.clone())},y.prototype.sqr=function(t){return this.mul(t,t)},y.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(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new 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e=t.clone();return e.red=null,e},a.mont=function(t){return new b(t)},i(b,y),b.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},b.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},b.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)},b.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)},b.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{}],69:[function(t,e,r){\"use 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r=\"abcdef\".split(\"\").concat(e),n=[];return t.indexOf(\"lo\")>=0&&n.push(\"lo=e[k+n]\"),t.indexOf(\"hi\")>=0&&n.push(\"hi=e[k+o]\"),r.push(i.replace(\"_\",n.join()).replace(\"$\",t)),Function.apply(void 0,r)}e.exports=n;var i=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)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\"},{}],75:[function(t,e,r){\"use strict\";function n(t,e){e<=4*f?i(0,e-1,t):h(0,e-1,t)}function i(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 u=r[l-2],c=r[l-1];if(u<a)break;if(u===a&&c<o)break;r[l]=u,r[l+1]=c,l-=2}r[l]=a,r[l+1]=o}}function a(t,e,r){t*=2,e*=2;var n=r[t],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function o(t,e,r){t*=2,e*=2,r[t]=r[e],r[t+1]=r[e+1]}function s(t,e,r,n){t*=2,e*=2,r*=2;var i=n[t],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 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c=t(\"./convert\"),h=t(\"./transform\"),f=t(\"./clip\"),d=t(\"./wrap\"),p=t(\"./tile\");i.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,solidChildren:!1,tolerance:3,extent:4096,buffer:64,debug:0},i.prototype.splitTile=function(t,e,r,n,i,l,c){for(var h=[t,e,r,n],d=this.options,m=d.debug,g=null;h.length;){n=h.pop(),r=h.pop(),e=h.pop(),t=h.pop();var v=1<<e,y=a(e,r,n),b=this.tiles[y],x=e===d.maxZoom?0:d.tolerance/(v*d.extent);if(!b&&(m>1&&console.time(\"creation\"),b=this.tiles[y]=p(t,v,r,n,x,e===d.maxZoom),this.tileCoords.push({z:e,x:r,y:n}),m)){m>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,b.numFeatures,b.numPoints,b.numSimplified),console.timeEnd(\"creation\"));var _=\"z\"+e;this.stats[_]=(this.stats[_]||0)+1,this.total++}if(b.source=t,i){if(e===d.maxZoom||e===i)continue;var w=1<<i-e;if(r!==Math.floor(l/w)||n!==Math.floor(c/w))continue}else 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s={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z2:e,transformed:!1,min:[2,1],max:[-1,0]},l=0;l<t.length;l++){s.numFeatures++,i(s,t[l],a,o);var u=t[l].min,c=t[l].max;u[0]<s.min[0]&&(s.min[0]=u[0]),u[1]<s.min[1]&&(s.min[1]=u[1]),c[0]>s.max[0]&&(s.max[0]=c[0]),c[1]>s.max[1]&&(s.max[1]=c[1])}return s}function i(t,e,r,n){var i,o,s,l,u=e.geometry,c=e.type,h=[],f=r*r;if(1===c)for(i=0;i<u.length;i++)h.push(u[i]),t.numPoints++,t.numSimplified++;else for(i=0;i<u.length;i++)if(s=u[i],n||!(2===c&&s.dist<r||3===c&&s.area<f)){var d=[];for(o=0;o<s.length;o++)l=s[o],(n||l[2]>f)&&(d.push(l),t.numSimplified++),t.numPoints++;3===c&&a(d,s.outer),h.push(d)}else t.numPoints+=s.length;if(h.length){var p={geometry:h,type:c,tags:e.tags||null};null!==e.id&&(p.id=e.id),t.features.push(p)}}function a(t,e){o(t)<0===e&&t.reverse()}function o(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],r=t[o],n+=(r[0]-e[0])*(e[1]+r[1]);return n}e.exports=n},{}],145:[function(t,e,r){\"use 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p=0;p<3;++p)h[d][p]!==this.bounds[d][p]&&(c=!0),this.bounds[d][p]=h[d][p];if(\"ticks\"in t){r=t.ticks,s=!0,this.autoTicks=!1;for(var d=0;d<3;++d)this.tickSpacing[d]=0}else n(\"tickSpacing\")&&(this.autoTicks=!0,c=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),c=!0,s=!0,this._firstInit=!1),c&&this.autoTicks&&(r=f.create(this.bounds,this.tickSpacing),s=!0),s){for(var d=0;d<3;++d)r[d].sort(function(t,e){return t.x-e.x});f.equal(r,this.ticks)?s=!1:this.ticks=r}i(\"tickEnable\"),a(\"tickFont\")&&(s=!0),n(\"tickSize\"),n(\"tickAngle\"),n(\"tickPad\"),o(\"tickColor\");var m=a(\"labels\");a(\"labelFont\")&&(m=!0),i(\"labelEnable\"),n(\"labelSize\"),n(\"labelPad\"),o(\"labelColor\"),i(\"lineEnable\"),i(\"lineMirror\"),n(\"lineWidth\"),o(\"lineColor\"),i(\"lineTickEnable\"),i(\"lineTickMirror\"),n(\"lineTickLength\"),n(\"lineTickWidth\"),o(\"lineTickColor\"),i(\"gridEnable\"),n(\"gridWidth\"),o(\"gridColor\"),i(\"zeroEnable\"),o(\"zeroLineColor\"),n(\"zeroLineWidth\"),i(\"backgroundEnable\"),o(\"backgroundColor\"),this._text?this._text&&(m||s)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=l(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&s&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=u(this.gl,this.bounds,this.ticks))};var m=[new a,new a,new a],g=[0,0,0],v={model:d,view:d,projection:d};p.isOpaque=function(){return!0},p.isTransparent=function(){return!1},p.drawTransparent=function(t){};var y=[0,0,0],b=[0,0,0],x=[0,0,0];p.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||d,i=t.view||d,a=t.projection||d,s=this.bounds,l=h(r,i,a,s),u=l.cubeEdges,c=l.axis,f=i[12],p=i[13],_=i[14],w=i[15],M=this.pixelRatio*(a[3]*f+a[7]*p+a[11]*_+a[15]*w)/e.drawingBufferHeight,k=0;k<3;++k)this.lastCubeProps.cubeEdges[k]=u[k],this.lastCubeProps.axis[k]=c[k];for(var A=m,k=0;k<3;++k)o(m[k],k,this.bounds,u,c);for(var e=this.gl,T=g,k=0;k<3;++k)this.backgroundEnable[k]?T[k]=c[k]:T[k]=0;this._background.draw(r,i,a,s,T,this.backgroundColor),this._lines.bind(r,i,a,this);for(var k=0;k<3;++k){var S=[0,0,0];c[k]>0?S[k]=s[1][k]:S[k]=s[0][k];for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.gridEnable[L]&&this._lines.drawGrid(L,C,this.bounds,S,this.gridColor[L],this.gridWidth[L]*this.pixelRatio)}for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.zeroEnable[C]&&s[0][C]<=0&&s[1][C]>=0&&this._lines.drawZero(L,C,this.bounds,S,this.zeroLineColor[C],this.zeroLineWidth[C]*this.pixelRatio)}}for(var k=0;k<3;++k){this.lineEnable[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].primalOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio),this.lineMirror[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].mirrorOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio);for(var I=n(y,A[k].primalMinor),z=n(b,A[k].mirrorMinor),D=this.lineTickLength,E=0;E<3;++E){var P=M/r[5*E];I[E]*=D[E]*P,z[E]*=D[E]*P}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,A[k].primalOffset,I,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,A[k].mirrorOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var k=0;k<3;++k){for(var O=A[k].primalMinor,R=n(x,A[k].primalOffset),E=0;E<3;++E)this.lineTickEnable[k]&&(R[E]+=M*O[E]*Math.max(this.lineTickLength[E],0)/r[5*E]);if(this.tickEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],R,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.labelPad[E]/r[5*E];R[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],R,this.labelColor[k])}}},p.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\":149,\"./lib/cube.js\":150,\"./lib/lines.js\":151,\"./lib/text.js\":153,\"./lib/ticks.js\":154}],149:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var g=u;u=c,c=g}var v=a(t,new 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e=0;e<m.length;++e)if(t=l.positive(t,m[e]),t.length<3)return 0;for(var r=t[0],n=r[0]/r[3],i=r[1]/r[3],a=0,e=1;e+1<t.length;++e){var o=t[e],s=t[e+1],u=o[0]/o[3],c=o[1]/o[3],h=s[0]/s[3],f=s[1]/s[3],d=u-n,p=c-i,g=h-n,v=f-i;a+=Math.abs(d*v-p*g)}return a}function a(t,e,r,a){s(c,e,t),s(c,r,c);for(var l=0,m=0;m<2;++m){d[2]=a[m][2];for(var b=0;b<2;++b){d[1]=a[b][1];for(var x=0;x<2;++x)d[0]=a[x][0],n(h[l],d,c),l+=1}}for(var _=-1,m=0;m<8;++m){for(var w=h[m][3],M=0;M<3;++M)f[m][M]=h[m][M]/w;w<0&&(_<0?_=m:f[m][2]<f[_][2]&&(_=m))}if(_<0){_=0;for(var k=0;k<3;++k){for(var A=(k+2)%3,T=(k+1)%3,S=-1,E=-1,L=0;L<2;++L){var C=L<<k,I=C+(L<<A)+(1-L<<T),z=C+(1-L<<A)+(L<<T);u(f[C],f[I],f[z],p)<0||(L?S=1:E=1)}if(S<0||E<0)E>S&&(_|=1<<k);else{for(var L=0;L<2;++L){var C=L<<k,I=C+(L<<A)+(1-L<<T),z=C+(1-L<<A)+(L<<T),D=i([h[C],h[I],h[z],h[C+(1<<A)+(1<<T)]]);L?S=D:E=D}E>S&&(_|=1<<k)}}}for(var P=7^_,O=-1,m=0;m<8;++m)m!==_&&m!==P&&(O<0?O=m:f[O][1]>f[m][1]&&(O=m));for(var R=-1,m=0;m<3;++m){var 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o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var c=n(f);c[e]=1,this.shader.uniforms.screenAxis=c,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,6)},m.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":152,\"gl-buffer\":156,\"gl-vao\":271}],152:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");r.line=function(t){return n(t,\"#define GLSLIFY 1\\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\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip position\\n  vec4 viewPosition = view * worldPosition;\\n  vec4 clipPosition = projection * viewPosition;\\n  clipPosition /= clipPosition.w;\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec4(viewOffset, 0, 0);\\n\\n  //Done\\n  gl_Position = clipPosition;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.bg=function(t){return n(t,\"#define GLSLIFY 1\\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  if(dot(normal, enable) > 0.0) {\\n    vec3 nPosition = mix(bounds[0], bounds[1], 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  colorChannel = abs(normal);\\n}\",\"precision mediump float;\\n#define 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p=[0,0,0];f.drawTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=p;a[0]=a[1]=a[2]=0,a[t]=1,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.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var m=[0,0,0];f.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=m,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":152,_process:487,\"gl-buffer\":156,\"gl-vao\":271,\"vectorize-text\":554}],154:[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,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var h=\"\"+u;h.length<i;)h=\"0\"+h;return c+\".\"+h}return c}function i(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(var 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}function a(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}r.create=i,r.equal=a},{}],155:[function(t,e,r){\"use strict\";function n(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}function i(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=p,s=m,l=0;l<3;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,h(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,h(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,c=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+c*c)}return t}function a(t,e,r,n,a){var h=e.model||f,p=e.view||f,m=e.projection||f,y=t.bounds,a=a||l(h,p,m,y),b=a.axis;a.edges;u(d,p,h),u(d,m,d);for(var x=g,_=0;_<3;++_)x[_].lo=1/0,x[_].hi=-1/0,x[_].pixelsPerDataUnit=1/0;var w=o(c(d,d));c(d,d);for(var M=0;M<3;++M){var k=(M+1)%3,A=(M+2)%3,T=v;t:for(var _=0;_<2;++_){var S=[];if(b[M]<0!=!!_){T[M]=y[_][M];for(var E=0;E<2;++E){T[k]=y[E^_][k];for(var L=0;L<2;++L)T[A]=y[L^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=s.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],C=i(v,d,A,r,n),L=0;L<3;++L)x[L].lo=Math.min(x[L].lo,A[L]),x[L].hi=Math.max(x[L].hi,A[L]),L!==M&&(x[L].pixelsPerDataUnit=Math.min(x[L].pixelsPerDataUnit,Math.abs(C[L])))}}}return x}e.exports=a;var o=t(\"extract-frustum-planes\"),s=t(\"split-polygon\"),l=t(\"./lib/cube.js\"),u=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/transpose\"),h=t(\"gl-vec4/transformMat4\"),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],m=[0,0,0,1],g=[new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":150,\"extract-frustum-planes\":130,\"gl-mat4/multiply\":183,\"gl-mat4/transpose\":191,\"gl-vec4/transformMat4\":277,\"split-polygon\":526}],156:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(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 a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;i<n;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||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(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==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 a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t(\"typedarray-pool\"),u=t(\"ndarray-ops\"),c=t(\"ndarray\"),h=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"],f=n.prototype;f.bind=function(){this.gl.bindBuffer(this.type,this.handle)},f.unbind=function(){this.gl.bindBuffer(this.type,null)},f.dispose=function(){this.gl.deleteBuffer(this.handle)},f.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":157}],159:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var u=[[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]],c=n.prototype;c.draw=function(){var t=new Float32Array([0,0]),e=new Float32Array([0,0]),r=new Float32Array([0,0]),n=new Float32Array([0,0]),i=[1,1];return function(){var a=this.plot,o=this.shader,s=this.bounds,l=this.numPoints;if(l){var c=a.gl,h=a.dataBox,f=a.viewBox,d=a.pixelRatio,p=s[2]-s[0],m=s[3]-s[1],g=h[2]-h[0],v=h[3]-h[1],y=2*p/g,b=2*m/v,x=(s[0]-h[0]-.5*g)/p,_=(s[1]-h[1]-.5*v)/m;t[0]=y,t[1]=b,e[0]=y-t[0],e[1]=b-t[1],r[0]=x,r[1]=_,n[0]=x-r[0],n[1]=_-r[1];var w=f[2]-f[0],M=f[3]-f[1];i[0]=2*d/w,i[1]=2*d/M,o.bind(),o.uniforms.scaleHi=t,o.uniforms.scaleLo=e,o.uniforms.translateHi=r,o.uniforms.translateLo=n,o.uniforms.pixelScale=i,o.uniforms.color=this.color,this.bufferLo.bind(),o.attributes.positionLo.pointer(c.FLOAT,!1,16,0),this.bufferHi.bind(),o.attributes.positionHi.pointer(c.FLOAT,!1,16,0),o.attributes.pixelOffset.pointer(c.FLOAT,!1,16,8),c.drawArrays(c.TRIANGLES,0,l*u.length)}}}(),c.drawPick=function(t){return t},c.pick=function(){return null},c.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;\"lineWidth\"in t&&(o=+t.lineWidth);var l=5;\"capSize\"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var c=this.bounds=[1/0,1/0,-1/0,-1/0],h=this.numPoints=i.length>>1;for(e=0;e<h;++e)r=i[2*e],n=i[2*e+1],c[0]=Math.min(r,c[0]),c[1]=Math.min(n,c[1]),c[2]=Math.max(r,c[2]),c[3]=Math.max(n,c[3]);c[2]===c[0]&&(c[2]+=1),c[3]===c[1]&&(c[3]+=1);var f=1/(c[2]-c[0]),d=1/(c[3]-c[1]),p=c[0],m=c[1],g=s.mallocFloat64(h*u.length*4),v=s.mallocFloat32(h*u.length*4),y=s.mallocFloat32(h*u.length*4),b=0;for(e=0;e<h;++e){r=i[2*e],n=i[2*e+1];for(var x=a[4*e],_=a[4*e+1],w=a[4*e+2],M=a[4*e+3],k=0;k<u.length;++k){var A=u[k],T=A[0],S=A[1];T<0?T*=x:T>0&&(T*=_),S<0?S*=w:S>0&&(S*=M),g[b++]=f*(r-p+T),g[b++]=d*(n-m+S),g[b++]=o*A[2]+(l+o)*A[4],g[b++]=o*A[3]+(l+o)*A[5]}}for(e=0;e<g.length;e++)v[e]=g[e],y[e]=g[e]-v[e];this.bufferHi.update(v),this.bufferLo.update(y),s.free(g)},c.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.bufferHi.dispose(),this.bufferLo.dispose()}},{\"./lib/shaders\":160,\"gl-buffer\":156,\"gl-shader\":255,\"typedarray-pool\":541}],160:[function(t,e,r){e.exports={\n",
       "vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi;\\nattribute vec2 positionLo;\\nattribute vec2 pixelOffset;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo, pixelScale;\\n\\nvec2 project(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\nvoid main() {\\n  vec3 scrPosition = vec3(\\n         project(scaleHi, translateHi, scaleLo, translateLo, positionHi, positionLo),\\n         1);\\n  gl_Position = vec4(\\n    scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\\n    0,\\n    scrPosition.z);\\n}\\n\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\\n\"}},{}],161:[function(t,e,r){\"use strict\";function n(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}function i(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])}function a(t,e,r,n){for(var i=f[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}function o(t){var e=t.gl,r=s(e),i=l(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}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=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=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in 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])),\"opacity\"in t&&(this.opacity=t.opacity);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 o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":163,\"gl-buffer\":156,\"gl-vao\":271}],162:[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(\"\")}},{}],163:[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, 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 mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\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\":255,glslify:162}],164:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=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(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(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 u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var g=0;g<h;++g)t.color[g]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+g);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=s(r,u,c,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==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(var g=0;g<t.color.length;++g)t.color[g].dispose(),t.color[g]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(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 l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(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 a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,g=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,v=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,g,v,y=null,b=c.prototype;Object.defineProperties(b,{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 h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.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])}},b.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\":267}],165:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var g=s(e).split(\"\\n\"),d=0;d<g.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var v=g[d];if(u+=v+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":40,\"gl-constants/lookup\":158,\"glsl-shader-name\":279,\"sprintf-js\":527}],166:[function(t,e,r){\"use strict\";function n(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}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.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,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.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]}}}(),h.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]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],g=h[3]=n[n.length-1],v=1/(m-d),y=1/(g-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var I=v*(r[C]-d),z=v*(r[C+1]-d),D=0;D<f.length;D+=2){var P,O,R,F,j=f[D],N=f[D+1],B=(S+N)*b+(C+j),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],R=u[2],F=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],R=u[4*c-2],F=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],R=q*u[G+2]+H*u[Y+2],F=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*R,w[4*T+3]=255*F,M[2*T]=.5*I+.5*z,M[2*T+1]=.5*E+.5*L,k[2*T]=j,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.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\":167,\"binary-search-bounds\":168,\"gl-buffer\":156,\"gl-shader\":255,\"iota-array\":293,\"typedarray-pool\":541}],167:[function(t,e,r){\"use strict\";e.exports={fragment:\"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:\"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:\"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:\"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\"}},{}],168:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],169:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],170:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),g=new n(t,c,i,a,u,f,d,p,m);return t.addObject(g),g.update(e),g}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var g=this.lineShader;g.bind(),this.lineBufferLo.bind(),g.attributes.aLo.pointer(l.FLOAT,!1,16,0),g.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var v=g.uniforms;this.setProjectionUniforms(v,a),v.color=c,v.width=s*u,v.dashPattern=this.dashPattern.bind(),v.dashLength=this.dashLength*u;var y=g.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var g=this.bounds;g[0]=g[1]=1/0,g[2]=g[3]=-1/0;var v=this.numPoints=m.length>>>1;if(0!==v){for(e=0;e<v;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(g[0]=Math.min(g[0],a),g[1]=Math.min(g[1],o),g[2]=Math.max(g[2],a),g[3]=Math.max(g[3],o));g[0]===g[2]&&(g[2]+=1),g[3]===g[1]&&(g[3]+=1);var y=c.mallocFloat64(24*(v-1)),b=c.mallocFloat32(24*(v-1)),x=c.mallocFloat32(24*(v-1)),_=c.mallocUint32(12*(v-1)),w=b.length,M=_.length;n=v;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-g[0])/(g[2]-g[0]),o=(o-g[1])/(g[3]-g[1]),S=(S-g[0])/(g[2]-g[0]),E=(E-g[1])/(g[3]-g[1]);var L=S-a,C=E-o,I=A|1<<24,z=A-1,D=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":169,\"gl-buffer\":156,\"gl-shader\":255,\"gl-texture2d\":267,ndarray:467,\"typedarray-pool\":541}],171:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump 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\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{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 n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\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\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp 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  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp 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  highp 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\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":255}],172:[function(t,e,r){\"use strict\";function n(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 i(t){\n",
       "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 a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(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.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(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 n=g(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,g=p.createPickShader,v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,clipBounds:i(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)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=!1;t:for(e=1;e<a.length;++e){var v=a[e-1],y=a[e];for(u.push(h),c.push(v.slice()),r=0;r<3;++r){if(isNaN(v[r])||isNaN(y[r])||!isFinite(v[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,g=!0}continue t}m[0][r]=Math.min(m[0][r],v[r],y[r]),m[1][r]=Math.max(m[1][r],v[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var 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null;if(r===this.arcLength.length-1)return new a(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)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],u=0;u<3;++u)l[u]=s*n[u]+o*i[u];var c=Math.min(o<.5?r:r+1,this.points.length-1);return new a(e,l,c,this.points[c])}},{\"./lib/shaders\":171,\"binary-search-bounds\":66,\"gl-buffer\":156,\"gl-texture2d\":267,\"gl-vao\":271,\"glsl-read-float\":278,ndarray:467}],173:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],174:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],175:[function(t,e,r){function n(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}e.exports=n},{}],176:[function(t,e,r){function n(){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}e.exports=n},{}],177:[function(t,e,r){function n(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],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],178:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],179:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],180:[function(t,e,r){function n(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}e.exports=n},{}],181:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-g*w+v*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(g*x-p*M-v*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+v*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-g*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null}e.exports=n},{}],182:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,u,c,h,f,d,p,m=e[0],g=e[1],v=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],M=r[2];return Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-M)<1e-6?i(t):(h=m-_,f=g-w,d=v-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+u*g+c*v),t[14]=-(h*m+f*g+d*v),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":180}],183:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],184:[function(t,e,r){function n(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}e.exports=n},{}],185:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],I=Math.sqrt(E*E+L*L+C*C);return Math.abs(I)<1e-6?null:(I=1/I,E*=I,L*=I,C*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],g=e[9],v=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+g*_,t[2]=u*b+d*x+v*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+g*k,t[6]=u*w+d*M+v*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+g*S,t[10]=u*A+d*T+v*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],186:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=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+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],187:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return 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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],188:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=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+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],189:[function(t,e,r){function n(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}e.exports=n},{}],190:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,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],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t}e.exports=n},{}],191:[function(t,e,r){function n(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}e.exports=n},{}],192:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t}e.exports=n;var i=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),o=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":173,\"gl-mat3/invert\":174,\"gl-mat4/invert\":181}],193:[function(t,e,r){r.glMatrix=t(\"./gl-matrix/common.js\"),r.mat2=t(\"./gl-matrix/mat2.js\"),r.mat2d=t(\"./gl-matrix/mat2d.js\"),r.mat3=t(\"./gl-matrix/mat3.js\"),r.mat4=t(\"./gl-matrix/mat4.js\"),r.quat=t(\"./gl-matrix/quat.js\"),r.vec2=t(\"./gl-matrix/vec2.js\"),r.vec3=t(\"./gl-matrix/vec3.js\"),r.vec4=t(\"./gl-matrix/vec4.js\")},{\"./gl-matrix/common.js\":194,\"./gl-matrix/mat2.js\":195,\"./gl-matrix/mat2d.js\":196,\"./gl-matrix/mat3.js\":197,\"./gl-matrix/mat4.js\":198,\"./gl-matrix/quat.js\":199,\"./gl-matrix/vec2.js\":200,\"./gl-matrix/vec3.js\":201,\"./gl-matrix/vec4.js\":202}],194:[function(t,e,r){var n={};n.EPSILON=1e-6,n.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.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},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=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,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[3]=c-v,t[6]=f+g,t[1]=c+v,t[4]=1-u-p,t[7]=d-m,t[2]=f-g,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=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],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-g*w+v*_)*C,t[7]=(g*x-p*M-v*b)*C,t[8]=(p*w-m*x+v*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.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[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=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[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=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[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=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[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=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]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],g=e[4],v=e[5],y=t[6],b=e[7],x=e[8];return Math.abs(r-f)<=n.EPSILON*Math.max(1,Math.abs(r),Math.abs(f))&&Math.abs(i-d)<=n.EPSILON*Math.max(1,Math.abs(i),Math.abs(d))&&Math.abs(a-p)<=n.EPSILON*Math.max(1,Math.abs(a),Math.abs(p))&&Math.abs(o-m)<=n.EPSILON*Math.max(1,Math.abs(o),Math.abs(m))&&Math.abs(s-g)<=n.EPSILON*Math.max(1,Math.abs(s),Math.abs(g))&&Math.abs(l-v)<=n.EPSILON*Math.max(1,Math.abs(l),Math.abs(v))&&Math.abs(u-y)<=n.EPSILON*Math.max(1,Math.abs(u),Math.abs(y))&&Math.abs(c-b)<=n.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(h-x)<=n.EPSILON*Math.max(1,Math.abs(h),Math.abs(x))},e.exports=i},{\"./common.js\":194}],198:[function(t,e,r){var n=t(\"./common.js\"),i={scalar:{},SIMD:{}};i.create=function(){var t=new n.ARRAY_TYPE(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},i.clone=function(t){var e=new n.ARRAY_TYPE(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},i.copy=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},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,g){var v=new n.ARRAY_TYPE(16);return v[0]=t,v[1]=e,v[2]=r,v[3]=i,v[4]=a,v[5]=o,v[6]=s,v[7]=l,v[8]=u,v[9]=c,v[10]=h,v[11]=f,v[12]=d,v[13]=p,v[14]=m,v[15]=g,v},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=g,t},i.identity=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},i.scalar.transpose=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},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.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],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-g*w+v*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(g*x-p*M-v*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+v*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-g*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=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],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(f*v-d*g)-h*(l*v-u*g)+m*(l*d-u*f),t[1]=-(n*(f*v-d*g)-h*(i*v-a*g)+m*(i*d-a*f)),t[2]=n*(l*v-u*g)-s*(i*v-a*g)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*v-d*g)-c*(l*v-u*g)+p*(l*d-u*f)),t[5]=r*(f*v-d*g)-c*(i*v-a*g)+p*(i*d-a*f),t[6]=-(r*(l*v-u*g)-o*(i*v-a*g)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*v-d*m)-c*(s*v-u*m)+p*(s*d-u*h),t[9]=-(r*(h*v-d*m)-c*(n*v-a*m)+p*(n*d-a*h)),t[10]=r*(s*v-u*m)-o*(n*v-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*g-f*m)-c*(s*g-l*m)+p*(s*f-l*h)),t[13]=r*(h*g-f*m)-c*(n*g-i*m)+p*(n*f-i*h),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12)\n",
       ";return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=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],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,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],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(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]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.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},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],I=i[2],z=Math.sqrt(L*L+C*C+I*I);return Math.abs(z)<n.EPSILON?null:(z=1/z,L*=z,C*=z,I*=z,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],g=e[8],v=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+I*a,w=I*L*s-C*a,M=L*C*s-I*a,k=C*C*s+o,A=I*C*s+L*a,T=L*I*s+C*a,S=C*I*s-L*a,E=I*I*s+o,t[0]=l*x+f*_+g*w,t[1]=u*x+d*_+v*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+g*A,t[5]=u*M+d*k+v*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+g*E,t[9]=u*T+d*S+v*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.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],u=e[8],c=e[9],h=e[10],f=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+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));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]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=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],u=e[8],c=e[9],h=e[10],f=e[11];return 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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.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],u=e[4],c=e[5],h=e[6],f=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+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=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},i.fromScaling=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},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=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},i.fromYRotation=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},i.fromZRotation=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},i.fromRotationTranslation=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,g=o*c,v=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+g))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+g))*_,t[6]=(m+v)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-v)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,g=o*h,v=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+v))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+v))*w,t[6]=(g+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(g-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=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,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=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)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=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},i.perspectiveFromFieldOfView=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),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*u*.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},i.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=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*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,g=e[0],v=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(g-w)<n.EPSILON&&Math.abs(v-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=g-w,d=v-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*g+s*v+l*y),t[13]=-(u*g+c*v+h*y),t[14]=-(f*g+d*v+p*y),t[15]=1,t)},i.str=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]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.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[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=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[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=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[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=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[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=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]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],g=t[13],v=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],I=e[12],z=e[13],D=e[14],P=e[15];return 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p=t(\"gl-shader\"),m=t(\"gl-buffer\"),g=t(\"gl-vao\"),v=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,I=A.pointPickShader,z=A.contourShader,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;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.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,g=this.positions[f],v=this.positions[d],y=0;y<3;++y)o[s++]=p*g[y]+m*v[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.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),\"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),t.texture?(this.texture.dispose(),this.texture=v(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(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],g=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,I=t.vertexIntensity,z=t.cellUVs,D=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!z)if(I)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],O=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];P=Math.min(P,F),O=Math.max(O,F)}else if(D)for(var R=0;R<D.length;++R){var F=D[R];P=Math.min(P,F),O=Math.max(O,F)}else for(var R=0;R<n.length;++R){var F=n[R][2];P=Math.min(P,F),O=Math.max(O,F)}this.intensity=I||(D?a(r,n.length,D):o(n));var j=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var R=0;R<n.length;++R)for(var B=n[R],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;g.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),j?_.push(j[Y]):_.push(N),w.push(R),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(R)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[R],u.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(g),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,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,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,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,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,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,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),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.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(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},P.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=d},{\"./lib/closest-point\":203,\"./lib/shaders\":204,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-shader\":255,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,normals:469,\"simplicial-complex-contour\":517,\"typedarray-pool\":541}],206:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],207:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var g=l[m],v=l[m+2],y=v-g,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(g-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],b=v[3]-v[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,I=s.tickMarkColor,z=6*h[0].length,D=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*D,R=6*Math.max(0,P-D),F=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),j=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=z+6*F,B=6*Math.max(0,j-F);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*g/y,o[1]=C[1]*g/b,B&&(E.color=I[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*g/y,o[1]=L[0]*g/b,R&&(E.color=I[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*g/y,o[1]=C[3]*g/b,B&&(E.color=I[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*g/y,o[1]=L[2]*g/b,R&&(E.color=I[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R))}}(),c.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;l<2;++l)for(var u=s[l],c=n[l],h=i[l],f=i[l+2],d=0;d<c.length;++d){var p=(c[d].x-h)/(f-h);u.push(p);for(var m=0;m<6;++m)a[o++]=p,a[o++]=t[m],a[o++]=e[m]}this.ticks=s,this.vbo.update(a)}}(),c.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":209,\"binary-search-bounds\":211,\"gl-buffer\":156,\"gl-shader\":212}],208:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[-1,-1,-1,1,1,-1,1,1]),o(e,s.lineVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],209:[function(t,e,r){\"use strict\";var 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:\"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:n,textVert:\"#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:n,gridVert:\"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 * 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strict\";function n(t,e){if(!s){var r=Object.keys(o);s={};for(var n=0;n<r.length;++n){var i=r[n];s[t[i]]=o[i]}}return s[e]}function i(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),i=[],a=0;a<r;++a){var o=t.getActiveUniform(e,a);if(o){var s=n(t,o.type);if(o.size>1)for(var l=0;l<o.size;++l)i.push({name:o.name.replace(\"[0]\",\"[\"+l+\"]\"),type:s});else i.push({name:o.name,type:s})}}return i}function a(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),i=[],a=0;a<r;++a){var o=t.getActiveAttrib(e,a);o&&i.push({name:o.name,type:n(t,o.type)})}return i}r.uniforms=i,r.attributes=a;var o={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\"},s=null},{}],218:[function(t,e,r){\"use strict\";function 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c=t(\"./GLError\"),h=t(\"gl-format-compiler-error\"),f=\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap,d=new f,p=0;n.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 m=i.prototype;m.getShaderReference=function(t,e){var r=this.gl,i=this.shaders[t===r.FRAGMENT_SHADER|0],o=i[e];if(o&&r.isShader(o.shader))o.count+=1;else{var s=a(r,t,e);o=i[e]=new n(p++,e,t,s,[],1,this)}return o},m.getProgram=function(t,e,r,n){var i=[t.id,e.id,r.join(\":\"),n.join(\":\")].join(\"@\"),a=this.programs[i];return a&&this.gl.isProgram(a)||(this.programs[i]=a=o(this.gl,t.shader,e.shader,r,n),t.programs.push(i),e.programs.push(i)),a}},{\"./GLError\":213,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],219:[function(t,e,r){\"use strict\";function n(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}function i(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function a(t,e){return t.x-e.x}function o(t){var e=t.gl,r=s(e,[e.drawingBufferWidth,e.drawingBufferHeight]),i=new n(e,r);return i.grid=l(i),i.text=u(i),i.line=c(i),i.box=h(i),i.update(t),i}e.exports=o;var s=t(\"gl-select-static\"),l=t(\"./lib/grid\"),u=t(\"./lib/text\"),c=t(\"./lib/line\"),h=t(\"./lib/box\"),f=n.prototype;f.setDirty=function(){this.dirty=this.pickDirty=!0},f.setOverlayDirty=function(){this.dirty=!0},f.nextDepthValue=function(){return this._depthCounter++/65536},f.draw=function(){return 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){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),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[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 c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].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;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();for(var p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;p<b.length;++p)b[p].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}}}(),f.drawPick=function(){return 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()}}}(),f.pick=function(){return 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),u=this.objects,c=0;c<u.length;++c){var h=u[c].pick(a,o,l);if(h)return h}return null}}}(),f.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()},f.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())},f.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()},f.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,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.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=i(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=i(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=i(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=i(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=i(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=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,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()},f.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(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.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}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.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\":206,\"./lib/grid\":207,\"./lib/line\":208,\"./lib/text\":210,\"gl-select-static\":254}],220:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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}\",\"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}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":255}],221:[function(t,e,r){\"use strict\";function n(){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 i(t,e){var r=null;try{r=t.getContext(\"webgl\",e),r||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}function a(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){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return\"boolean\"!=typeof t||t}function s(t){function e(){if(!w&&G.autoResize){var t=M.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*G.pixelRatio),i=0|Math.ceil(r*G.pixelRatio);if(n!==M.width||i!==M.height){M.width=n,M.height=i;var a=M.style;a.position=a.position||\"absolute\",a.left=\"0px\",a.top=\"0px\",a.width=e+\"px\",a.height=r+\"px\",N=!0}}}function r(){for(var t=O.length,e=j.length,r=0;r<e;++r)F[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(F[a]+i<255){R[r]=a,n.setPickBase(F[a]+1),F[a]+=i;continue t}var o=f(A,q);R[r]=e,j.push(o),F.push(i),n.setPickBase(1),e+=1}else R[r]=-1}for(;e>0&&0===F[e-1];)F.pop(),j.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;r<e;++r){var n=j[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(R[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,z.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var v=.05*(i[d]-n[d]);n[d]=n[d]-v,i[d]=i[d]+v}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);z.autoTicks?z.update({bounds:m,tickSpacing:x}):z.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),g(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;z.enable&&(T=T||z.isTransparent(),z.draw(H)),P.axes=z,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=z,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=v(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},I=t.axes||{},z=u(A,I);z.enable=!I.disable;var D=t.spikes||{},P=h(A,D),O=[],R=[],F=[],j=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:z,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,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:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=z,O.push(t),R.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),R.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){z.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<j.length;++t)j[t].dispose();L.dispose(),A=null,z=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=j.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=j[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(R[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),g=t(\"gl-mat4/perspective\"),v=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":220,\"3d-view-controls\":36,\"a-big-triangle\":39,\"gl-axes3d\":148,\"gl-axes3d/properties\":155,\"gl-fbo\":164,\"gl-mat4/perspective\":184,\"gl-select-static\":254,\"gl-spikes3d\":264,\"is-mobile\":296,\"mouse-change\":452}],222:[function(t,e,r){r.pointVertex=\"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=\"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=\"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=\"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\"},{}],223:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":224,\"./lib/create-attributes\":225,\"./lib/create-uniforms\":226,\"./lib/reflect\":227,\"./lib/runtime-reflect\":228,\"./lib/shader-cache\":229,dup:212}],224:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],225:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\n",
       "\"./GLError\":224,dup:214}],226:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":224,\"./reflect\":227,dup:215}],227:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],228:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],229:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":224,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],230:[function(t,e,r){\"use strict\";function n(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}function i(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}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.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\":222,\"gl-buffer\":156,\"gl-shader\":223,\"typedarray-pool\":541}],231:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],g=r[3];return a=u*d+c*p+h*m+f*g,a<0&&(a=-a,d=-d,p=-p,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),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*g,t}e.exports=n},{}],232:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat gamma = .0045 * charsStep / pointSize;\\n\\n    //null-border case\\n \\tif (borderWidth * borderColor.a == 0.) {\\n\\t\\tfloat charAmt = smoothstep(.748 - gamma, .748 + gamma, dist);\\n\\t\\tgl_FragColor = vec4(charColor.rgb, charAmt*charColor.a);\\n\\t\\treturn;\\n\\t}\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],233:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],234:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":235,\"./lib/create-attributes\":236,\"./lib/create-uniforms\":237,\"./lib/reflect\":238,\"./lib/runtime-reflect\":239,\"./lib/shader-cache\":240,dup:212}],235:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],236:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":235,dup:214}],237:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":235,\"./reflect\":238,dup:215}],238:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],239:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],240:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":235,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],241:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function 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if(!c(it,P,O,R,F,r,n,d))for(;;){if(c(S,P,O,R,F,r,n,d)){c(S,L,C,I,z,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,I,z,D,r,n,d,p),l(e,S+1,P,O,R,F,j,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],242:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var g=i+p*h,v=a+m*h,y=n(t,e,f,u,g,v,g+h,v+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(g,v,h,f,b,c+1),f=b}l(g,v,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],g=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,g),d=Math.max(d,g),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var v=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*v,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":241,\"typedarray-pool\":541}],243:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=m(this.plot.gl,this.charCanvas),this.charStep=400,this.charFit=.255,this.snapThreshold=1e4,this.paletteTexture=m(this.plot.gl,[256,1])}function i(){var t=this.plot,e=t.viewBox,r=t.dataBox,n=t.pixelRatio,i=r[2]-r[0],a=r[3]-r[1],u=2/i,c=2/a,h=-r[0]-.5*i,f=-r[1]-.5*a;_[0]=u,w[0]=u-_[0],_[1]=c,w[1]=c-_[1],M[0]=h,k[0]=h-M[0],M[1]=f,k[1]=f-M[1];var d=e[2]-e[0],p=e[3]-e[1];o=Math.min(i/d,a/p),A[0]=2*n/d,A[1]=2*n/p,s=r[0],l=r[2]}function a(t,e){var r=t.gl,i=u(r,f.vertex,f.fragment),a=u(r,f.pickVertex,f.pickFragment),o=c(r),s=c(r),l=c(r),h=c(r),d=c(r),p=new n(t,i,a,o,s,l,h,d);return p.update(e),t.addObject(p),p}e.exports=a;var o,s,l,u=t(\"gl-shader\"),c=t(\"gl-buffer\"),h=t(\"typedarray-pool\"),f=t(\"./lib/shaders\"),d=t(\"snap-points-2d\"),p=t(\"font-atlas-sdf\"),m=t(\"gl-texture2d\"),g=t(\"color-id\"),v=t(\"ndarray\"),y=t(\"clamp\"),b=t(\"binary-search-bounds\"),x=n.prototype,_=new Float32Array([0,0]),w=new Float32Array([0,0]),M=new Float32Array([0,0]),k=new Float32Array([0,0]),A=[0,0],T=[0,0,0,0];x.drawPick=function(t){var e=void 0!==t,r=this.plot,n=this.pointCount,a=n>this.snapThreshold;if(!n)return t;i.call(this);var u=r.gl,c=e?this.pickShader:this.shader,h=u.isEnabled(u.BLEND);if(c.bind(),e){this.pickOffset=t;for(var f=0;f<4;++f)T[f]=t>>8*f&255;c.uniforms.pickOffset=T,this.idBuffer.bind(),c.attributes.id.pointer(u.UNSIGNED_BYTE,!1)}else u.blendFuncSeparate(u.SRC_ALPHA,u.ONE_MINUS_SRC_ALPHA,u.ONE,u.ONE_MINUS_SRC_ALPHA),u.blendColor(0,0,0,1),h||u.enable(u.BLEND),this.colorBuffer.bind(),c.attributes.color.pointer(u.UNSIGNED_BYTE,!1),this.charBuffer.bind(),c.attributes.char.pointer(u.UNSIGNED_BYTE,!1),c.uniforms.chars=this.charTexture.bind(0),c.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],c.uniforms.charsStep=this.charStep,c.uniforms.palette=this.paletteTexture.bind(1);this.sizeBuffer.bind(),c.attributes.size.pointer(u.FLOAT,!1,8,0),e||c.attributes.border.pointer(u.FLOAT,!1,8,4),this.positionBuffer.bind(),c.attributes.positionHi.pointer(u.FLOAT,!1,16,0),c.attributes.positionLo.pointer(u.FLOAT,!1,16,8),c.uniforms.pixelRatio=r.pixelRatio,c.uniforms.scaleHi=_,c.uniforms.scaleLo=w,c.uniforms.translateHi=M,c.uniforms.translateLo=k,c.uniforms.viewBox=r.viewBox;var d=this.scales;if(a)for(var p=d.length-1;p>=0;p--){var m=d[p];if(!(m.pixelSize&&m.pixelSize<1.25*o&&p>1)){var g=m.offset,v=m.count+g,y=b.ge(this.xCoords,s,g,v-1),x=b.lt(this.xCoords,l,y,v-1)+1;x>y&&u.drawArrays(u.POINTS,y,x-y)}}else u.drawArrays(u.POINTS,0,n);if(e)return t+n;h?u.blendFunc(u.ONE,u.ONE_MINUS_SRC_ALPHA):u.disable(u.BLEND)},x.draw=x.drawPick,x.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]]}},x.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],s=this.plot.gl,l=this.pointCount,u=l>this.snapThreshold;if(null!=t.positions){this.points=e,l=this.points.length/2,u=l>this.snapThreshold;var c=h.mallocFloat32(2*l),f=h.mallocFloat64(2*l),m=h.mallocUint32(l),b=h.mallocFloat32(4*l);f.set(this.points),u&&(this.i2idx&&h.free(this.i2idx),this.i2idx=h.mallocInt32(l),this.scales=d(f,this.i2idx,c)),this.pointCount=l;for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x;m[x]=_;var w=e[2*_],M=e[2*_+1];b[4*x]=w,b[4*x+1]=M,b[4*x+2]=w-b[4*x],b[4*x+3]=M-b[4*x+1],this.xCoords[x]=w}this.idBuffer.update(m),this.positionBuffer.update(b),h.free(b),h.free(m),h.free(f),h.free(c)}for(var k=h.mallocFloat32(2*l),A=h.mallocUint8(2*l),T=h.mallocUint8(2*l),S={},E=[],L=[],C=[],x=0,I=l,z=0;x<I;++x){var D=[255*r[4*x],255*r[4*x+1],255*r[4*x+2],255*r[4*x+3]],P=g(D,!1);null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),E.push(P),o&&o.length&&(D=[255*o[4*x],255*o[4*x+1],255*o[4*x+2],255*o[4*x+3]],P=g(D,!1),null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),C.push(P))}for(var O={},x=0,I=l,z=0;x<I;x++){var R=n[x];null==O[R]&&(O[R]=z++)}for(var F=0,x=0,I=i.length;x<I;++x)i[x]>F&&(F=i[x]);var j=this.charStep;this.charStep=y(Math.ceil(4*F),128,768);var N=Object.keys(O),B=this.charStep,U=Math.floor(B/2),V=s.getParameter(s.MAX_TEXTURE_SIZE),H=V/B*(V/B),q=Math.min(V,B*N.length),G=Math.min(V,B*Math.ceil(B*N.length/V)),Y=Math.floor(q/B);N.length>H&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==N+\"\"&&this.charStep==j||(this.charCanvas=p({canvas:this.charCanvas,family:\"sans-serif\",size:U,shape:[q,G],step:[B,B],chars:N,align:!0,fit:this.charFit}),this.chars=N);for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x,W=i[_],X=a[_];k[2*x]=2*W,k[2*x+1]=X;var P=E[_],Z=S[P];A[2*x]=Z;var J=C[_],K=S[J];A[2*x+1]=K;var R=n[_],Q=O[R];T[2*x+1]=Math.floor(Q/Y),T[2*x]=Q%Y}this.sizeBuffer.update(k),this.colorBuffer.update(A),this.charBuffer.update(T),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(v(L.slice(0,1024),[256,1,4])),h.free(k),h.free(A),h.free(T)},x.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":232,\"binary-search-bounds\":233,clamp:88,\"color-id\":92,\"font-atlas-sdf\":134,\"gl-buffer\":156,\"gl-shader\":234,\"gl-texture2d\":267,ndarray:467,\"snap-points-2d\":242,\"typedarray-pool\":541}],244:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\\n\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\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  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"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}\"},{}],245:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],246:[function(t,e,r){arguments[4][241][0].apply(r,arguments)},{dup:241}],247:[function(t,e,r){arguments[4][242][0].apply(r,arguments)},{\"./lib/sort\":246,dup:242,\"typedarray-pool\":541}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null,this.snapPoints=!0}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\"),h=t(\"array-normalize\"),f=t(\"array-bounds\");e.exports=i;var d=n.prototype,p=new Float32Array(2),m=new Float32Array(2),g=new Float32Array(2),v=new Float32Array(2),y=[0,0,0,0];d.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},d.update=function(t){function e(e,r){return e in t?t[e]:r}if(t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.snapPoints=e(\"snapPoints\",!0),null!=t.positions){this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(r),a=u.mallocFloat64(2*r);if(a.set(this.points),this.snapPoints)this.scales=l(a,n,i,this.bounds);else{this.bounds=f(a,2),h(a,2,this.bounds);for(var o=0;o<r;o++)n[o]=o,i[o]=1}var s=u.mallocFloat64(r),c=u.mallocFloat32(2*r),d=u.mallocFloat32(2*r);c.set(a);for(var o=0,p=0;o<r;o++,p+=2)d[p]=a[p]-c[p],d[p+1]=a[p+1]-c[p+1],s[o]=a[p];this.positionBufferHi.update(c),this.positionBufferLo.update(d),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(c),u.free(d),u.free(i),u.free(a),u.free(n),this.xCoords=s,this.pointCount=r,this.pickOffset=0}},d.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,s=this.pickBuffer,l=this.bounds,u=this.size,c=this.borderSize,h=r.gl,f=e?r.pickPixelRatio:r.pixelRatio,d=r.viewBox,b=r.dataBox;if(0===this.pointCount)return t;var x=l[2]-l[0],_=l[3]-l[1],w=b[2]-b[0],M=b[3]-b[1],k=(d[2]-d[0])*f/r.pixelRatio,A=(d[3]-d[1])*f/r.pixelRatio,T=this.pixelSize=Math.min(w/k,M/A),S=2*x/w,E=2*_/M;p[0]=S,p[1]=E,m[0]=S-p[0],m[1]=E-p[1];var L=(l[0]-b[0]-.5*w)/x,C=(l[1]-b[1]-.5*M)/_;g[0]=L,g[1]=C,v[0]=L-g[0],v[1]=C-g[1],n.bind(),n.uniforms.scaleHi=p,n.uniforms.scaleLo=m,n.uniforms.translateHi=g,n.uniforms.translateLo=v,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=f*(u+c),n.uniforms.centerFraction=0===this.borderSize?2:u/(u+c+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,y[0]=255&t,y[1]=t>>8&255,y[2]=t>>16&255,y[3]=t>>24&255,n.uniforms.pickOffset=y,s.bind(),n.attributes.pickId.pointer(h.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());var I=!0;if(this.snapPoints)for(var z=i.length-1;z>=0;z--){var D=i[z];if(!(D.pixelSize<T&&z>1)){var P=this.getVisibleRange(D),O=P[0],R=P[1];R>O&&h.drawArrays(h.POINTS,O,R-O),!e&&I&&(I=!1,n.uniforms.useWeight=0)}}else h.drawArrays(h.POINTS,0,this.pointCount);return t+this.pointCount},d.getVisibleRange=function(t){var e=this.plot.dataBox,r=this.bounds,n=this.pixelSize,i=this.size,a=this.plot.pixelRatio,o=r[2]-r[0];r[3],r[1];if(!t)for(var t,l=this.scales.length-1;l>=0&&(t=this.scales[l],t.pixelSize<n&&l>1);l--);var u=this.xCoords,c=(e[0]-r[0]-n*i*a)/o,h=(e[2]-r[0]+n*i*a)/o,f=t.offset,d=t.count+f,p=s.ge(u,c,f,d-1);return[p,s.lt(u,h,p,d-1)+1]},d.drawPick=d.draw,d.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":244,\"array-bounds\":44,\"array-normalize\":45,\"binary-search-bounds\":245,\"gl-buffer\":156,\"gl-shader\":255,\"snap-points-2d\":247,\"typedarray-pool\":541}],249:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":554}],250:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\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(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\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=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\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=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\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=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,g)}},{\"gl-shader\":255}],251:[function(t,e,r){\"use strict\";function n(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 i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(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}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,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}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,g=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=g,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,\n",
       "d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],v(L,p,L),d.model=L;var I=(_+1)%3,z=(_+2)%3,D=s(M),P=s(k);D[I]=1,P[z]=1;var O=i(g,m,p,l(A,D)),R=i(g,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(R[1])){var F=O;O=R,R=F,F=D,D=P,P=F;var j=I;I=z,z=j}O[0]<0&&(D[I]=-1),R[1]>0&&(P[z]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*I+C],2),B+=Math.pow(p[4*z+C],2);D[I]/=Math.sqrt(N),P[z]/=Math.sqrt(B),d.axes[0]=D,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=z,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),g=new o(e,r,n,i,u,c,h,f,d,a,s,l);return g.update(t),g}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"typedarray-pool\"),v=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],I=[1e8,1e8,1e8],z=[C,I];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.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},_.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]},_.update=function(t){if(t=t||{},\"perspective\"in 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(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,v=n.length;t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=g.mallocFloat(3*T),E=g.mallocFloat(4*T),L=g.mallocFloat(2*T),C=g.mallocUint32(T),I=[0,a[1]],z=0,D=p,P=[0,0,0,1],O=[0,0,0,1],R=Array.isArray(u)&&Array.isArray(u[0]),F=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var j;if(j=R?u[y]:u,3===j.length){for(var _=0;_<3;++_)P[_]=j[_];P[3]=1}else if(4===j.length)for(var _=0;_<4;++_)P[_]=j[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var j;if(j=F?f[y]:f,3===j.length){for(var _=0;_<3;++_)O[_]=j[_];O[_]=1}else if(4===j.length)for(var _=0;_<4;++_)O[_]=j[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?I[0]=a[0]*(1+A[1][0]):a[0]>0&&(I[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*z+W]=x[W];for(var W=0;W<4;++W)E[4*z+W]=P[W];C[z]=d;var X=q[G[Y]];L[2*z]=N*(U*X[0]-V*X[1]+I[0]),L[2*z+1]=N*(V*X[0]+U*X[1]+I[1]),z+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=O[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+I[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+I[1]),D+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new 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n(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}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.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,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var 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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)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_49_arg0_<255||_inline_49_arg1_<255||_inline_49_arg2_<255||_inline_49_arg3_<255){var 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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){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.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))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return 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o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){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},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,v),n=n||c.attributes(p,v),p.deleteProgram(v)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":256,\"./lib/create-attributes\":257,\"./lib/create-uniforms\":258,\"./lib/reflect\":259,\"./lib/runtime-reflect\":260,\"./lib/shader-cache\":261}],256:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],257:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":256,dup:214}],258:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":256,\"./reflect\":259,dup:215}],259:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],260:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],261:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":256,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],262:[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]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.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()},a.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]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],263:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":255}],264:[function(t,e,r){\"use strict\";function n(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}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(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}]),c=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.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))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":263,\"gl-buffer\":156,\"gl-vao\":271}],265:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\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  worldCoordinate = vec3(uv.zw, f.x);\\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\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\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 (kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\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_1_1(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 = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + 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\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\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  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\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\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    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,i,a,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,i,s,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,o,a,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,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":255}],266:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:R,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,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=[_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0]),_(v.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.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}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||j,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=N.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],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||D,n.view=t.view||D,n.projection=t.projection||D,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.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-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=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){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=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.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=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.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))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(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 h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=I(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:z,offset:0},{buffer:s,size:3,stride:z,offset:16},{buffer:s,size:3,stride:z,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=g(e,1,R,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var v=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",v.update(y),v}e.exports=f\n",
       ";var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"gl-texture2d\"),v=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,I=S.createPickContourShader,z=40,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var R=256,F=a.prototype;F.isTransparent=function(){return this.opacity<1},F.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},F.pickSlots=1,F.setPickBase=function(t){this.pickId=t};var j=[0,0,0],N={showSurface:!1,showContour:!1,projections:[D.slice(),D.slice(),D.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:D,view:D,projection:D,inverseModel:D.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,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=D.slice(),V=[1,0,0,0,1,0,0,0,1];F.draw=function(t){return s.call(this,t,!1)},F.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:D,view:D,projection:D,inverseModel:D,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};F.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||D,r.view=t.view||D,r.projection=t.projection||D,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;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 s=o(r,this);if(s.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=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},F.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 u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,g=h*d,v=0;v<3;++v)u[v]+=this._field[v].get(p,m)*g;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=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},F.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);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 n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(v.freeFloat(this._field[2].data),this._field[2].data=v.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(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&&(v.freeFloat(this._field[o].data),this._field[o].data=v.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(v.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(v.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),I=S*C-E*L,z=L*A-C*k,D=k*E-A*S,O=Math.sqrt(I*I+z*z+D*D);O<1e-8?(O=Math.max(Math.abs(I),Math.abs(z),Math.abs(D)),O<1e-8?(D=1,z=I=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,I*O),M.set(o,y,1,z*O),M.set(o,y,2,D*O)}v.free(x.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],j=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=v.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),K=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var Q=W;I=M.get(X+1,Z+1,0),z=M.get(X+1,Z+1,1),D=M.get(X+1,Z+1,2),t.intensity&&(Q=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=K,U[V++]=W,U[V++]=0,U[V++]=Q,U[V++]=I,U[V++]=z,U[V++]=D,R[0]=Math.min(R[0],J),R[1]=Math.min(R[1],K),R[2]=Math.min(R[2],W),j=Math.min(j,Q),F[0]=Math.max(F[0],J),F[1]=Math.max(F[1],K),F[2]=Math.max(F[2],W),N=Math.max(N,Q),H+=1}}for(t.intensityBounds&&(j=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-j)/(N-j);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),v.freeFloat(U),v.free(M.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[j,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var gt=(et+mt+1)%3;for(q=0;q<2;++q){var vt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[gt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=vt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=v.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),v.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},F.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)v.freeFloat(this._field[t].data)},F.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,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=v.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],g=0;g<2;++g){var y=p[m[g]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,I=k*E,z=M*L,D=M*E,P=C*c.get(x,T)+I*c.get(x,S)+z*c.get(_,T)+D*c.get(_,S),O=C*h.get(x,T)+I*h.get(x,S)+z*h.get(_,T)+D*h.get(_,S);if(isNaN(P)||isNaN(O)){g&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,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)),v.freeFloat(a)}}},{\"./lib/shaders\":265,\"binary-search-bounds\":66,\"bit-twiddle\":67,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,\"ndarray-gradient\":458,\"ndarray-ops\":461,\"ndarray-pack\":462,\"surface-nets\":531,\"typedarray-pool\":541}],267:[function(t,e,r){\"use strict\";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(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}function a(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 o(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}function s(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 l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var v=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===v?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+v));else{var b;b=a===t.FLOAT?g.mallocFloat32(v):g.mallocUint8(v);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,v)),a===t.FLOAT?g.freeFloat32(b):g.freeUint8(b)}}function u(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 c(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 s=u(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new o(t,s,e,r,n,i)}function h(t,e,r,n,i,a){var s=u(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new o(t,s,r,n,i,a)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error(\"gl-texture2d: Invalid texture size\");var a=s(n,e.stride.slice()),l=0;\"float32\"===r?l=t.FLOAT:\"float64\"===r?(l=t.FLOAT,a=!1,r=\"float32\"):\"uint8\"===r?l=t.UNSIGNED_BYTE:(l=t.UNSIGNED_BYTE,a=!1,r=\"uint8\");var c=0;if(2===n.length)c=t.LUMINANCE,n=[n[0],n[1],1],e=p(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===n[2])c=t.ALPHA;else if(2===n[2])c=t.LUMINANCE_ALPHA;else if(3===n[2])c=t.RGB;else{if(4!==n[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");c=t.RGBA}}l!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(l=t.UNSIGNED_BYTE,a=!1);var h,f,d=e.size;if(a)h=0===e.offset&&e.data.length===d?e.data:e.data.subarray(e.offset,e.offset+d);else{var v=[n[2],n[2]*n[0],1];f=g.malloc(d,r);var y=p(f,n,v,0);\"float32\"!==r&&\"float64\"!==r||l!==t.UNSIGNED_BYTE?m.assign(y,e):x(y,e),h=f.subarray(0,d)}var b=u(t);return t.texImage2D(t.TEXTURE_2D,0,c,n[0],n[1],0,c,l,h),a||g.free(f),new o(t,b,n[0],n[1],c,l)}function 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n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"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\":284}],284:[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\",\"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\"]},{}],285:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],286:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":280}],287:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)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}e.exports=n;var i=3;n.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)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a 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Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],288:[function(t,e,r){(function(r){\"use strict\";var n,i=t(\"is-browser\");n=\"function\"==typeof r.matchMedia?!r.matchMedia(\"(hover: none)\").matches:i,e.exports=n}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"is-browser\":294}],289:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?NaN:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=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=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],290:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.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,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var g=0;g<=o;++g)if(g!==m){var v=p[g];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,v.boundary=!1,u.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var w=v.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=v,M[g]=-1,k[g]=e,p[g]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var I=M[C];I<0||C===x||(E[L++]=I)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var g=0;g+1<f.length;g+=2){var z=f[g],D=f[g+1],P=z.index,O=D.index;P<0||O<0||(z.cell.adjacent[z.index]=D.cell,D.cell.adjacent[D.index]=z.cell)}},f.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)}},f.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,u=0,c=0;c<=t;++c)s[c]>=0?o[l++]=s[c]:u=1&c;if(u===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":508,\"simplicial-complex\":519}],291:[function(t,e,r){\"use strict\";function n(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}function i(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 a(t,e){var r=p(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 o(t,e){var r=t.intervals([]);r.push(e),a(t,r)}function s(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?y:(r.splice(n,1),a(t,r),b)}function l(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 u(t,e,r){for(var 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 gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{\n",
       "fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return mix(value2, value3, t - 2.0);\\n    }\\n}\\n\"},{path:476}],304:[function(t,e,r){\"use strict\";function n(t,e){this.message=(t?t+\": \":\"\")+i.apply(i,Array.prototype.slice.call(arguments,2)),null!==e&&void 0!==e&&e.__line__&&(this.line=e.__line__)}var i=t(\"util\").format;e.exports=n},{util:549}],305:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1;e<arguments.length;e++){var r=arguments[e];for(var n in r)t[n]=r[n]}return t}},{}],306:[function(t,e,r){\"use strict\";e.exports=function(t){return t instanceof Number?\"number\":t instanceof String?\"string\":t instanceof Boolean?\"boolean\":Array.isArray(t)?\"array\":null===t?\"null\":typeof t}},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t){return t instanceof Number||t instanceof String||t instanceof Boolean?t.valueOf():t}},{}],308:[function(t,e,r){\"use strict\";var n=t(\"../error/validation_error\"),i=t(\"../util/get_type\"),a=t(\"../util/extend\");e.exports=function(e){var 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h=2;h<s.length;h++)r=a(s[h]),\"$type\"==s[1]?c=c.concat(i({key:l+\"[\"+h+\"]\",value:s[h],valueSpec:u.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"===r&&\"@\"===s[h][0]?c.push(new n(l+\"[\"+h+\"]\",s[h],\"filter value cannot be a constant\")):\"string\"!==r&&\"number\"!==r&&\"boolean\"!==r&&c.push(new n(l+\"[\"+h+\"]\",s[h],\"string, number, or boolean expected, %s found\",r));break;case\"any\":case\"all\":case\"none\":for(h=1;h<s.length;h++)c=c.concat(t({key:l+\"[\"+h+\"]\",value:s[h],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":r=a(s[1]),2!==s.length?c.push(new n(l,s,'filter array for \"%s\" operator must have 2 elements',s[0])):\"string\"!==r?c.push(new n(l+\"[1]\",s[1],\"string expected, %s found\",r)):\"@\"===s[1][0]&&c.push(new n(l+\"[1]\",s[1],\"filter key cannot be a constant\"))}return c}},{\"../error/validation_error\":304,\"../util/get_type\":306,\n",
       "\"../util/unbundle_jsonlint\":307,\"./validate_enum\":313}],315:[function(t,e,r){\"use strict\";var n=t(\"../error/validation_error\"),i=t(\"../util/get_type\"),a=t(\"./validate\"),o=t(\"./validate_object\"),s=t(\"./validate_array\"),l=t(\"./validate_number\");e.exports=function(t){function e(t){var e=[],a=t.value;return e=e.concat(s({key:t.key,value:a,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:r})),\"array\"===i(a)&&0===a.length&&e.push(new n(t.key,a,\"array must have at least one stop\")),e}function r(t){var e=[],r=t.value,s=t.key;if(\"array\"!==i(r))return[new n(s,r,\"array expected, %s found\",i(r))];if(2!==r.length)return[new n(s,r,\"array length %d expected, length %d found\",2,r.length)];var f=i(r[0]);if(c||(c=f),f!==c)return[new n(s,r,\"%s stop key type must match previous stop key type %s\",f,c)];if(\"object\"===f){if(void 0===r[0].zoom)return[new n(s,r,\"object stop key must have zoom\")];if(void 0===r[0].value)return[new 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e=this.arrayGroups[t],r=0;r<e.length;r++)if(!e[r].isEmpty())return!1;return!0},n.prototype.getTransferables=function(t){for(var e in this.arrayGroups)for(var r=this.arrayGroups[e],n=0;n<r.length;n++)r[n].getTransferables(t)},n.prototype.setUniforms=function(t,e,r,n,i){for(var a=this.paintAttributes[e][n.id].uniforms,o=0;o<a.length;o++){var s=a[o],l=r[s.name];t[\"uniform\"+s.components+\"fv\"](l,s.getValue(n,i))}},n.prototype.serialize=function(){return{layerId:this.layer.id,zoom:this.zoom,arrays:c.mapObject(this.arrayGroups,function(t){return t.map(function(t){return t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),g=p.multiplier||1,v=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<v;_++){var w=v>1?p.name+_:p.name;x[w]=m[_]*g}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":440,\"../util/util\":442,\"./array_group\":328,\"./bucket/circle_bucket\":330,\"./bucket/fill_bucket\":331,\"./bucket/line_bucket\":332,\"./bucket/symbol_bucket\":333,\"./buffer_group\":335,assert:47,\"feature-filter\":132}],330:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],331:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":430,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,earcut:126}],332:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,g,v,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],g=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){g&&(m=g),f&&(d=f),f=t[w],g=p?p.sub(f)._unit()._perp():m,m=m||g;var M=m.add(g)._unit(),k=M.x*g.x+M.y*g.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=g.clone();else{var I=m.x*g.y-m.y*g.x>0?-1:1,z=A*m.add(g).mag()/m.sub(g).mag();M._perp()._mult(z*I)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var D=m.x*g.y-m.y*g.x>0,P=-Math.sqrt(A*A-1);if(D?(y=0,v=P):(v=0,y=P),_||this.addCurrentVertex(f,this.distance,m,v,y,!1),\"fakeround\"===C){for(var O,R=Math.floor(8*(.5-(k-.5))),F=0;F<R;F++)O=g.mult((F+1)/(R+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,D);this.addPieSliceVertex(f,this.distance,M,D);for(var j=R-1;j>=0;j--)O=m.mult((j+1)/(R+1))._add(g)._unit(),this.addPieSliceVertex(f,this.distance,O,D)}p&&this.addCurrentVertex(f,this.distance,g,-v,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,g,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,g,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,g,-1,-1,!0),this.addCurrentVertex(f,this.distance,g,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,g.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],333:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),g=t(\"../load_geometry\"),v=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,v=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(g(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,v,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,g=i[\"icon-padding\"]*this.tilePixelRatio,v=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,v,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var I=C||x;this.addSymbolInstance(L,T,e,r,this.layer,I,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,g,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),g=r[\"text-optional\"]||!p,v=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;g||v?!v&&y?y=Math.max(b,y):!g&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var g=p.tl,v=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,g.x,g.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,v.x,v.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),g=new a(h.x2,h.y2*i)._rotate(n),v=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,d,v,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,g,y,b,w,M){var k,A,T,S,E,L,C,I;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new v(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var z=0;z<C.length;z++)this.addSymbolQuad(C[z]);A=this.symbolQuadsArray.length;var D=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(I=o?_(t,i,g,e,a,b,r,w,M):[],L=new v(l,e,t,u,c,h,i,g,y,b,!0)),T=this.symbolQuadsArray.length,I&&1===I.length&&this.addSymbolQuad(I[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,R=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(D,P,O,R,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":391,\"../../symbol/clip_line\":393,\"../../symbol/collision_feature\":395,\"../../symbol/get_anchors\":397,\"../../symbol/mergelines\":400,\"../../symbol/quads\":401,\"../../symbol/resolve_text\":402,\"../../symbol/shaping\":403,\"../../util/token\":441,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,\"point-geometry\":484}],334:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],335:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":357,\"../util/util\":442,\"./buffer\":334}],336:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),g=t(\"vector-tile\"),v=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new g.VectorTile(new v(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var g=r.get(m),v=this.bucketLayerIDs[g.bucketIndex];if(!a||b(a,v)){var x=this.sourceLayerCoder.decode(g.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(g.featureIndex);if(i(A))for(var T=null,S=0;S<v.length;S++){var E=v[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var I=L.paint;if(\"line\"===L.type){C=s(n,I[\"line-translate\"],I[\"line-translate-anchor\"],h,f);var z=o(I)/2*f;if(I[\"line-offset\"]&&(T=l(T,I[\"line-offset\"]*f)),!M(C,T,z))continue}else if(\"fill\"===L.type){if(C=s(n,I[\"fill-translate\"],I[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,I[\"circle-translate\"],I[\"circle-translate-anchor\"],h,f);var D=I[\"circle-radius\"]*f;if(!_(C,T,D))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":432,\"../util/intersection_tests\":437,\"../util/struct_array\":440,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"./bucket\":329,\"./load_geometry\":337,\"feature-filter\":132,\"grid-index\":287,pbf:478,\"point-geometry\":484,\"vector-tile\":550}],337:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":442,\"./bucket\":329,assert:47}],338:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],339:[function(t,e,r){\"use strict\";function n(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\")}e.exports=n\n",
       ";var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":442}],340:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":339}],341:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(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._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":329,\"../source/tile_coord\":369,\"../util/interpolate\":436,\"../util/util\":442,\"./coordinate\":338,\"./lng_lat\":339,\"gl-matrix\":193,\"point-geometry\":484}],342:[function(t,e,r){\"use strict\";var n={\" \":[16,[]],\"!\":[10,[5,21,5,7,-1,-1,5,2,4,1,5,0,6,1,5,2]],'\"':[16,[4,21,4,14,-1,-1,12,21,12,14]],\"#\":[21,[11,25,4,-7,-1,-1,17,25,10,-7,-1,-1,4,12,18,12,-1,-1,3,6,17,6]],$:[20,[8,25,8,-4,-1,-1,12,25,12,-4,-1,-1,17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],\"%\":[24,[21,21,3,0,-1,-1,8,21,10,19,10,17,9,15,7,14,5,14,3,16,3,18,4,20,6,21,8,21,10,20,13,19,16,19,19,20,21,21,-1,-1,17,7,15,6,14,4,14,2,16,0,18,0,20,1,21,3,21,5,19,7,17,7]],\"&\":[26,[23,12,23,13,22,14,21,14,20,13,19,11,17,6,15,3,13,1,11,0,7,0,5,1,4,2,3,4,3,6,4,8,5,9,12,13,13,14,14,16,14,18,13,20,11,21,9,20,8,18,8,16,9,13,11,10,16,3,18,1,20,0,22,0,23,1,23,2]],\"'\":[10,[5,19,4,20,5,21,6,20,6,18,5,16,4,15]],\"(\":[14,[11,25,9,23,7,20,5,16,4,11,4,7,5,2,7,-2,9,-5,11,-7]],\")\":[14,[3,25,5,23,7,20,9,16,10,11,10,7,9,2,7,-2,5,-5,3,-7]],\"*\":[16,[8,21,8,9,-1,-1,3,18,13,12,-1,-1,13,18,3,12]],\"+\":[26,[13,18,13,0,-1,-1,4,9,22,9]],\",\":[10,[6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"-\":[26,[4,9,22,9]],\".\":[10,[5,2,4,1,5,0,6,1,5,2]],\"/\":[22,[20,25,2,-7]],0:[20,[9,21,6,20,4,17,3,12,3,9,4,4,6,1,9,0,11,0,14,1,16,4,17,9,17,12,16,17,14,20,11,21,9,21]],1:[20,[6,17,8,18,11,21,11,0]],2:[20,[4,16,4,17,5,19,6,20,8,21,12,21,14,20,15,19,16,17,16,15,15,13,13,10,3,0,17,0]],3:[20,[5,21,16,21,10,13,13,13,15,12,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],4:[20,[13,21,3,7,18,7,-1,-1,13,21,13,0]],5:[20,[15,21,5,21,4,12,5,13,8,14,11,14,14,13,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],6:[20,[16,18,15,20,12,21,10,21,7,20,5,17,4,12,4,7,5,3,7,1,10,0,11,0,14,1,16,3,17,6,17,7,16,10,14,12,11,13,10,13,7,12,5,10,4,7]],7:[20,[17,21,7,0,-1,-1,3,21,17,21]],8:[20,[8,21,5,20,4,18,4,16,5,14,7,13,11,12,14,11,16,9,17,7,17,4,16,2,15,1,12,0,8,0,5,1,4,2,3,4,3,7,4,9,6,11,9,12,13,13,15,14,16,16,16,18,15,20,12,21,8,21]],9:[20,[16,14,15,11,13,9,10,8,9,8,6,9,4,11,3,14,3,15,4,18,6,20,9,21,10,21,13,20,15,18,16,14,16,9,15,4,13,1,10,0,8,0,5,1,4,3]],\":\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,5,2,4,1,5,0,6,1,5,2]],\";\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"<\":[24,[20,18,4,9,20,0]],\"=\":[26,[4,12,22,12,-1,-1,4,6,22,6]],\">\":[24,[4,18,20,9,4,0]],\"?\":[18,[3,16,3,17,4,19,5,20,7,21,11,21,13,20,14,19,15,17,15,15,14,13,13,12,9,10,9,7,-1,-1,9,2,8,1,9,0,10,1,9,2]],\"@\":[27,[18,13,17,15,15,16,12,16,10,15,9,14,8,11,8,8,9,6,11,5,14,5,16,6,17,8,-1,-1,12,16,10,14,9,11,9,8,10,6,11,5,-1,-1,18,16,17,8,17,6,19,5,21,5,23,7,24,10,24,12,23,15,22,17,20,19,18,20,15,21,12,21,9,20,7,19,5,17,4,15,3,12,3,9,4,6,5,4,7,2,9,1,12,0,15,0,18,1,20,2,21,3,-1,-1,19,16,18,8,18,6,19,5]],A:[18,[9,21,1,0,-1,-1,9,21,17,0,-1,-1,4,7,14,7]],B:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,-1,-1,4,11,13,11,16,10,17,9,18,7,18,4,17,2,16,1,13,0,4,0]],C:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5]],D:[21,[4,21,4,0,-1,-1,4,21,11,21,14,20,16,18,17,16,18,13,18,8,17,5,16,3,14,1,11,0,4,0]],E:[19,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11,-1,-1,4,0,17,0]],F:[18,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11]],G:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,18,8,-1,-1,13,8,18,8]],H:[22,[4,21,4,0,-1,-1,18,21,18,0,-1,-1,4,11,18,11]],I:[8,[4,21,4,0]],J:[16,[12,21,12,5,11,2,10,1,8,0,6,0,4,1,3,2,2,5,2,7]],K:[21,[4,21,4,0,-1,-1,18,21,4,7,-1,-1,9,12,18,0]],L:[17,[4,21,4,0,-1,-1,4,0,16,0]],M:[24,[4,21,4,0,-1,-1,4,21,12,0,-1,-1,20,21,12,0,-1,-1,20,21,20,0]],N:[22,[4,21,4,0,-1,-1,4,21,18,0,-1,-1,18,21,18,0]],O:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21]],P:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,14,17,12,16,11,13,10,4,10]],Q:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21,-1,-1,12,4,18,-2]],R:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,4,11,-1,-1,11,11,18,0]],S:[20,[17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],T:[16,[8,21,8,0,-1,-1,1,21,15,21]],U:[22,[4,21,4,6,5,3,7,1,10,0,12,0,15,1,17,3,18,6,18,21]],V:[18,[1,21,9,0,-1,-1,17,21,9,0]],W:[24,[2,21,7,0,-1,-1,12,21,7,0,-1,-1,12,21,17,0,-1,-1,22,21,17,0]],X:[20,[3,21,17,0,-1,-1,17,21,3,0]],Y:[18,[1,21,9,11,9,0,-1,-1,17,21,9,11]],Z:[20,[17,21,3,0,-1,-1,3,21,17,21,-1,-1,3,0,17,0]],\"[\":[14,[4,25,4,-7,-1,-1,5,25,5,-7,-1,-1,4,25,11,25,-1,-1,4,-7,11,-7]],\"\\\\\":[14,[0,21,14,-3]],\"]\":[14,[9,25,9,-7,-1,-1,10,25,10,-7,-1,-1,3,25,10,25,-1,-1,3,-7,10,-7]],\"^\":[16,[6,15,8,18,10,15,-1,-1,3,12,8,17,13,12,-1,-1,8,17,8,0]],_:[16,[0,-2,16,-2]],\"`\":[10,[6,21,5,20,4,18,4,16,5,15,6,16,5,17]],a:[19,[15,14,15,0,-1,-1,15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],b:[19,[4,21,4,0,-1,-1,4,11,6,13,8,14,11,14,13,13,15,11,16,8,16,6,15,3,13,1,11,0,8,0,6,1,4,3]],c:[18,[15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],d:[19,[15,21,15,0,-1,-1,15,11,13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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)-1===u[1][s]&&-1===u[1][s+1]?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],343:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":444,\"./geo/lng_lat\":339,\"./geo/lng_lat_bounds\":340,\"./style/style\":378,\"./ui/control/attribution\":409,\"./ui/control/control\":410,\"./ui/control/geolocate\":411,\"./ui/control/navigation\":412,\"./ui/map\":421,\"./ui/marker\":422,\"./ui/popup\":423,\"./util/ajax\":425,\"./util/browser\":426,\"./util/config\":431,\"./util/evented\":434,\"./util/util\":442,\"point-geometry\":484}],344:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2));var a=\"{precision} \"+(1===i.components?\"float\":\"vec\"+i.components);e.define[i.name.slice(2)]=\"uniform \"+a+\" \"+i.name+\";\\n\",e.initialize[i.name.slice(2)]=a+\" \"+i.name.slice(2)+\" = \"+i.name+\";\\n\"}return e}},{assert:47}],345:[function(t,e,r){\"use strict\";function n(t,e,r){var n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),g=0;g<m.length;g++){var v=m[g];if(f&&d){var y={coord:v,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+v.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(v)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":363,\"./create_uniform_pragmas\":344}],346:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":426}],347:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],348:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var g=e.getTile(r).tileSize,v=l/(Math.pow(2,t.transform.zoom-r.z)*g),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[v*x[0],v*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":329,\"../data/buffer\":334,\"../lib/debugtext\":342,\"../util/browser\":426,\"./vertex_array_object\":357,\"gl-matrix\":193}],349:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363}],350:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,g,v,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(g=t.spriteAtlas.getPosition(w.from,!0),v=t.spriteAtlas.getPosition(w.to,!0),!g||!v)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,g.tl),s.uniform2fv(d.u_pattern_br_a,g.br),s.uniform2fv(d.u_pattern_tl_b,v.tl),s.uniform2fv(d.u_pattern_br_b,v.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,I=m.width*_.toScale,z=[1/a(A,C,t.transform.tileZoom),-p.height/2],D=[1/a(A,I,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,I)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,z),s.uniform2fv(d.u_patternscale_b,D),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,g.size[0]*w.fromScale,t.transform.tileZoom),v.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,v.size[0]*w.toScale,t.transform.tileZoom),v.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var R=S[O];R.vaos[r.id].bind(s,d,R.layoutVertexBuffer,R.elementBuffer),s.drawElements(s.TRIANGLES,3*R.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"gl-matrix\":193}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var g=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,g),i.drawArrays(i.TRIANGLE_STRIP,0,g.length)}function a(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]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":440,\"../util/util\":442}],352:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),\n",
       "i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var g=0;g<n.length;g++){var v=e.getTile(n[g]),y=v.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[g]),a(t,r,n[g].posMatrix,v,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,g,v,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===g,C=s?24:1,I=v/C;if(L?(k=l(n,1,t.transform.zoom)*I,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*I,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var z=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(z.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(z.u_rotate_with_map,E),T.uniform1i(z.u_pitch_with_map,L),T.uniform2fv(z.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(z.u_texture,0),s){var D=f&&t.glyphSource.getGlyphAtlas(f);if(!D)return;D.updateTexture(T),T.uniform2f(z.u_texsize,D.width/4,D.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==I||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,R=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||R),T.uniform2f(z.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var F=Math.log(v/h)/Math.LN2||0;T.uniform1f(z.u_zoom,10*(t.transform.zoom-F)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(z.u_fadetexture,1);var j;if(u){var N=.105*C/v/o.devicePixelRatio;if(y){T.uniform1f(z.u_gamma,(1.19*x/I/8+N)*A),T.uniform4fv(z.u_color,b),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,(6-y/I)/8);for(var B=0;B<a.length;B++)j=a[B],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(z.u_gamma,N*A),T.uniform4fv(z.u_color,w),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,.75),T.uniform1f(z.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(z.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(z.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)j=a[U],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(z.u_opacity,_);for(var V=0;V<a.length;V++)j=a[V],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"./draw_collision_debug\":347}],353:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],354:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,g=0;g<this.width;g++){for(;p<g/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var v,y=Math.abs(g-d*s),b=Math.abs(g-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);v=Math.sqrt(x*x+M*M)}else v=l-Math.sqrt(x*x+w*w)}else v=(_?1:-1)*x;this.data[3+4*(f+g)]=Math.max(0,Math.min(255,v+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":442}],355:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var g={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&g.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,g[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":329,\"../data/buffer\":334,\"../source/pixels_to_tile_units\":363,\"../source/source_cache\":367,\"../util/browser\":426,\"../util/struct_array\":440,\"../util/util\":442,\"./create_uniform_pragmas\":344,\"./draw_background\":345,\"./draw_circle\":346,\"./draw_debug\":348,\"./draw_fill\":349,\"./draw_line\":350,\"./draw_raster\":351,\"./draw_symbol\":352,\"./frame_history\":353,\"./painter/use_program\":356,\"./vertex_array_object\":357,\"gl-matrix\":193}],356:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var g={},v=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<v;y++){var b=u.getActiveAttrib(c,y);g[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:g,numAttributes:v},g,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":442,assert:47,\"mapbox-gl-shaders\":303}],357:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:47}],358:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":329,\"../util/evented\":434,\"../util/util\":442,\"resolve-url\":501}],359:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":425,\"../util/util\":442,\"./geojson_wrapper\":360,\"./vector_tile_worker_source\":371,\"geojson-rewind\":138,\"geojson-vt\":142,supercluster:529,\"vt-pbf\":556}],360:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.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]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":329,\"point-geometry\":484,\"vector-tile\":550}],361:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),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.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],362:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/mapbox\":439,\"../util/util\":442}],363:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":329}],364:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":369}],365:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":425,\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],366:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":358,\"../source/image_source\":361,\"../source/raster_tile_source\":365,\"../source/vector_tile_source\":370,\"../source/video_source\":372,\"../util/util\":442}],367:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),g=0;g<m.length;g++){var v=m[g];i=u.fromID(v),a=this._tiles[v],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[v]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped()\n",
       ";if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],g=u.fromID(r[p]),v=[i(g,m.sourceMaxZoom,new h(n,a,l)),i(g,m.sourceMaxZoom,new h(o,s,l))];if(v[0].x<d&&v[0].y<d&&v[1].x>=0&&v[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(g,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:g,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":329,\"../geo/coordinate\":338,\"../util/evented\":434,\"../util/lru_cache\":438,\"../util/util\":442,\"./source\":366,\"./tile\":368,\"./tile_coord\":369}],368:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"feature-filter\":132,pbf:478,\"vector-tile\":550}],369:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=-1*n-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=-1*s-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=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}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":338,assert:47,\"whoots-js\":566}],370:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],371:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":425,\"./worker_tile\":374,pbf:478,\"vector-tile\":550}],372:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],373:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":381,\"../util/actor\":424,\"../util/util\":442,\"./geojson_worker_source\":359,\"./vector_tile_worker_source\":371}],374:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,g){function v(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return g(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,j,F),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r];T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=D.filter(i);g(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},I=0;for(var z in e)w=e[z][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:I++,childLayers:e[z],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&v(w,C[M]);else v(t,L);var D=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var R in L)k=L[R],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),D.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var F={},j={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(F),P[_].updateFont(j);for(var B in j)j[B]=Object.keys(j[B]).map(Number);F=Object.keys(F),r.send(\"get glyphs\",{uid:this.uid,stacks:j},function(t,e){j=e,y(t)}),F.length?r.send(\"get icons\",{icons:F},function(t,e){F=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/dictionary_coder\":432,\"../util/util\":442}],375:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],376:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/evented\":434,\"../util/mapbox\":439}],377:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":442,\"./style_function\":380,csscolorparser:108}],378:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!g.emitErrors(this,g(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),g=t(\"./validate_style\"),v=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&-1===e.vectorLayerIds.indexOf(t.sourceLayer)&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(g.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(g.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(g.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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r=\"color\"===t.type&&this.value?o(this.value):e;if(this.calculate=a[t.function||\"piecewise-constant\"](r),this.isFeatureConstant=this.calculate.isFeatureConstant,this.isZoomConstant=this.calculate.isZoomConstant,\"piecewise-constant\"===t.function&&t.transition&&(this.calculate=i(this.calculate)),!this.isFeatureConstant&&!this.isZoomConstant){this.stopZoomLevels=[];for(var n=[],l=this.value.stops,u=0;u<this.value.stops.length;u++){var c=l[u][0].zoom;this.stopZoomLevels.indexOf(c)<0&&(this.stopZoomLevels.push(c),n.push([c,n.length]))}this.calculateInterpolationT=a.interpolated({stops:n,base:e.base})}}function i(t){return function(e,r){var n,i,a,o=e.zoom,s=e.zoomHistory,l=e.duration,u=o%1,c=Math.min((Date.now()-s.lastIntegerZoomTime)/l,1),h=1;return o>s.lastIntegerZoom?(n=u+(1-u)*c,h*=2,i=t({zoom:o-1},r),a=t({zoom:o},r)):(n=1-(1-c)*u,a=t({zoom:o},r),i=t({zoom:o+1},r),h/=2),void 0===i||void 0===a?void 0:{from:i,fromScale:h,to:a,toScale:1,t:n}}}var a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":442,\"./parse_color\":377,\"./style_function\":380}],380:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":302}],381:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return new({background:t(\"./style_layer/background_style_layer\"),circle:t(\"./style_layer/circle_style_layer\"),fill:t(\"./style_layer/fill_style_layer\"),line:t(\"./style_layer/line_style_layer\"),raster:t(\"./style_layer/raster_style_layer\"),symbol:t(\"./style_layer/symbol_style_layer\")}[(r||e).type])(e,r)},n.prototype=a.inherit(h,{set:function(t,e){this.id=t.id,this.ref=t.ref,this.metadata=t.metadata,this.type=(e||t).type,this.source=(e||t).source,this.sourceLayer=(e||t)[\"source-layer\"],this.minzoom=(e||t).minzoom,this.maxzoom=(e||t).maxzoom,this.filter=(e||t).filter,this.paint={},this.layout={},this._paintSpecifications=l[\"paint_\"+this.type],this._layoutSpecifications=l[\"layout_\"+this.type],this._paintTransitions={},this._paintTransitionOptions={},this._paintDeclarations={},this._layoutDeclarations={},this._layoutFunctions={};var r,n;for(var i in t){var a=i.match(/^paint(?:\\.(.*))?$/);if(a){var o=a[1]||\"\";for(r in t[i])this.setPaintProperty(r,t[i][r],o)}}if(this.ref)this._layoutDeclarations=e._layoutDeclarations;else for(n in t.layout)this.setLayoutProperty(n,t.layout[n]);for(r in this._paintSpecifications)this.paint[r]=this.getPaintValue(r);for(n in this._layoutSpecifications)this._updateLayoutValue(n)},setLayoutProperty:function(t,e){if(null==e)delete this._layoutDeclarations[t];else{var r=\"layers.\"+this.id+\".layout.\"+t;if(this._handleErrors(u.layoutProperty,r,t,e))return;this._layoutDeclarations[t]=new s(this._layoutSpecifications[t],e)}this._updateLayoutValue(t)},getLayoutProperty:function(t){return this._layoutDeclarations[t]&&this._layoutDeclarations[t].value},getLayoutValue:function(t,e,r){var n=this._layoutSpecifications[t],i=this._layoutDeclarations[t];return i?i.calculate(e,r):n.default},setPaintProperty:function(t,e,r){var n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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this._paintDeclarations){e[\"\"===r?\"paint\":\"paint.\"+r]=a.mapObject(this._paintDeclarations[r],i)}return(!this.ref||t&&t.includeRefProperties)&&a.extend(e,{type:this.type,source:this.source,\"source-layer\":this.sourceLayer,filter:this.filter,layout:a.mapObject(this._layoutDeclarations,i)}),a.filterObject(e,function(t,e){return void 0!==t&&!(\"layout\"===e&&!Object.keys(t).length)})},_applyPaintDeclaration:function(t,e,r,n,i){var l=r.transition?this._paintTransitions[t]:void 0,u=this._paintSpecifications[t];if(null!==e&&void 0!==e||(e=new s(u,u.default)),!l||l.declaration.json!==e.json){var c=a.extend({duration:300,delay:0},n,this.getPaintProperty(t+\"-transition\")),h=this._paintTransitions[t]=new o(u,e,l,c);h.instant()||(h.loopID=i.set(h.endTime-Date.now())),l&&i.cancel(l.loopID)}},_updateLayoutValue:function(t){var e=this._layoutDeclarations[t];e&&e.isFunction?this._layoutFunctions[t]=!0:(delete this._layoutFunctions[t],this.layout[t]=this.getLayoutValue(t))},_handleErrors:function(t,e,r,n){return u.emitErrors(this,t.call(u,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:l,style:{glyphs:!0,sprite:!0}}))}})},{\"../util/evented\":434,\"../util/util\":442,\"./parse_color\":377,\"./style_declaration\":379,\"./style_layer/background_style_layer\":382,\"./style_layer/circle_style_layer\":383,\"./style_layer/fill_style_layer\":384,\"./style_layer/line_style_layer\":385,\"./style_layer/raster_style_layer\":386,\"./style_layer/symbol_style_layer\":387,\"./style_spec\":388,\"./style_transition\":389,\"./validate_style\":390}],382:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],383:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],384:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValue.call(this,\"fill-color\",e,r):a.prototype.getPaintValue.call(this,t,e,r)},getPaintValueStopZoomLevels:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValueStopZoomLevels.call(this,\"fill-color\"):a.prototype.getPaintValueStopZoomLevels.call(this,arguments)},getPaintInterpolationT:function(t,e){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":442,\"../style_layer\":381}],385:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":442,\"../style_layer\":381}],386:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],387:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":442,\"../style_layer\":381}],388:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":325}],389:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new Date).getTime(),\"piecewise-constant\"===t.function&&t.transition?this.interp=i:this.interp=o[t.type],this.oldTransition=r,this.duration=n.duration||0,this.delay=n.delay||0,this.instant()||(this.endTime=this.startTime+this.duration+this.delay,this.ease=a.easeCubicInOut),r&&r.endTime<=this.startTime&&delete r.oldTransition}function i(t,e,r){return void 0===(t&&t.to)||void 0===(e&&e.to)?void 0:{from:t.to,fromScale:t.toScale,to:e.to,toScale:e.toScale,t:r}}var a=t(\"../util/util\"),o=t(\"../util/interpolate\");e.exports=n,n.prototype.instant=function(){return!this.oldTransition||!this.interp||0===this.duration&&0===this.delay},n.prototype.calculate=function(t,e){var r=this.declaration.calculate(a.extend({},t,{duration:this.duration}),e);if(this.instant())return r;var n=t.time||Date.now();if(n<this.endTime){var i=this.oldTransition.calculate(a.extend({},t,{time:this.startTime}),e),o=this.ease((n-this.startTime-this.delay)/this.duration);r=this.interp(i,r,o)}return r}},{\"../util/interpolate\":436,\"../util/util\":442}],390:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":324}],391:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":484}],392:[function(t,e,r){\"use strict\";function n(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=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],393:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":484}],394:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{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:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],395:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,g=p-d;if(m>0)if(m=Math.max(10*s,m),c){var v=e[r.segment+1].sub(e[r.segment])._unit()._mult(g),y=[r.sub(v),r.add(v)];this._addLineCollisionBoxes(t,y,r,0,g,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,g,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var g=e[p].dist(e[p+1]),v=0;v<c;v++){for(var y=-i/2+v*u;m+g<y;){if(m+=g,++p+1>=e.length)return f;g=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],396:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,g=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=g,!e)for(var v=this.grid.query(d,p,m,g),y=0;y<v.length;y++){var b=n.get(v[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var g=0;g<d.length;g++){var v=l.get(d[g]),y=v.sourceLayerIndex,b=v.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=v.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,v)>=a&&(o[y][b]=!0,s.push(d[g]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":329,\"grid-index\":287,\"point-geometry\":484}],397:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var g=0,v=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);v+r<g+w;){v+=r;var k=(v-g)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&v-d>=0&&v+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}g+=w}return h||y.length||c||(y=i(t,g/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":391,\"../util/interpolate\":436,\"./check_max_angle\":392}],398:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,g=0;g<o;g++)h[p+g]=f[m+g];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),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),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":442,\"shelf-pack\":514}],399:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var g=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var v in c)this.loadRange(t,v,g)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":398,\"../util/ajax\":425,\"../util/glyphs\":435,\"../util/mapbox\":439,pbf:478}],400:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var g=o(m,p),v=o(m,p,!0);if(g in u&&v in l&&u[g]!==l[v]){var y=a(g,v,p),b=i(g,v,h[y]);delete l[g],delete u[v],u[o(m,h[b],!0)]=b,h[y]=null}else g in u?i(g,v,p):v in l?a(g,v,p):(n(s),l[g]=d-1,u[v]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],401:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,g=e.image.rect,v=a.layout,y=e.left-1,b=y+g.w/e.image.pixelRatio,x=e.top-1,_=x+g.h/e.image.pixelRatio;if(\"none\"!==v[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=v[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,I=v[\"icon-text-fit-padding\"][0],z=v[\"icon-text-fit-padding\"][1],D=v[\"icon-text-fit-padding\"][2],P=v[\"icon-text-fit-padding\"][3],O=\"width\"===v[\"icon-text-fit\"]?.5*(C-M):0,R=\"height\"===v[\"icon-text-fit\"]?.5*(L-w):0,F=\"width\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?L:w,j=\"height\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?C:M;f=new s(A+R-P,S+O-I),d=new s(A+R+z+F,S+O-I),p=new s(A+R+z+F,S+O+D+j),m=new s(A+R-P,S+O+D+j)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],g=m.glyph,v=g.rect;if(v){var y,b=(m.x+g.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+g.left,w=m.y-g.top,M=_+v.w,k=w+v.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],I=A,z=T,D=S,P=E;if(c){var O=Math.sin(c),R=Math.cos(c),F=[R,-O,O,R];I=I.matMult(F),z=z.matMult(F),D=D.matMult(F),P=P.matMult(F)}var j=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,I,z,D,P,v,N,B,j,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var g=c.sub(u)._unit();u=u.sub(g._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":484}],402:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":441}],403:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var g=t.charCodeAt(m),v=e[g];v&&(f.push(new n(g,p,-17,v)),p+=v.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,g=0,v=t.positionedGlyphs;if(n)for(var y=0;y<v.length;y++){var b=v[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=v[c+1].x;g=Math.max(x,g);for(var _=c+1;_<=y;_++)v[_].y+=r,v[_].x-=x;if(o){var w=c;h[v[c].codePoint]&&w--,s(v,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=v[v.length-1],k=M.x+e[M.codePoint].advance;g=Math.max(g,k);var A=(m+1)*r;s(v,e,p,v.length-1,o),l(v,o,i,a,g,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*g,t.right=t.left+g}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}\n",
       "function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],404:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":426,\"../util/util\":442,\"shelf-pack\":514}],405:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],406:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"./quads\":401,\"point-geometry\":484}],407:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){v(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),v(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&v(\"contextmenu\",x),x=null,v(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&v(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,v(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&v(\"click\",t)}function m(t){v(\"dblclick\",t),t.preventDefault()}function g(t){x=t,t.preventDefault()}function v(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",g,!1)}},{\"../util/dom\":428,\"./handler/box_zoom\":413,\"./handler/dblclick_zoom\":414,\"./handler/drag_pan\":415,\"./handler/drag_rotate\":416,\"./handler/keyboard\":417,\"./handler/scroll_zoom\":418,\"./handler/touch_zoom_rotate\":419,\"point-geometry\":484}],408:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var g=s.locationPoint(r);return!1===t.animate&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,g.add(a.sub(g)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),g=\"zoom\"in t?+t.zoom:f,v=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(g-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,g),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),I=function(t){return s(C)/s(C+M*t)},z=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},D=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;D=Math.abs(Math.log(A/k))/M,z=function(){return 0},I=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*D/O}return this.zooming=!0,d!==v&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*D,n=z(r);c.zoom=f+c.scaleZoom(1/I(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,v,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},!1===r.animate?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../util/browser\":426,\"../util/interpolate\":436,\"../util/util\":442,\"point-geometry\":484}],409:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],410:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",-1!==r.indexOf(\"bottom\")?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":434,\"../../util/util\":442}],411:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],412:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],413:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":340,\"../../util/dom\":428,\"../../util/util\":442}],414:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],415:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?!1&t.buttons:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],416:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442,\"point-geometry\":484}],417:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],418:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=-1!==s.indexOf(\"firefox\"),u=-1!==s.indexOf(\"safari\")&&-1===s.indexOf(\"chrom\");n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442}],419:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],\n",
       "document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],420:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":442}],421:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),g=t(\"./camera\"),v=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,g.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&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 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(v.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../geo/transform\":341,\"../render/painter\":355,\"../style/animation_loop\":375,\"../style/style\":378,\"../util/browser\":426,\"../util/canvas\":427,\"../util/dom\":428,\"../util/evented\":434,\"../util/util\":442,\"./bind_handlers\":407,\"./camera\":408,\"./control/attribution\":409,\"./hash\":420,\"point-geometry\":484}],422:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":339,\"../util/dom\":428,\"point-geometry\":484}],423:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},_createContent:function(){this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClickClose))},_update:function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content));var t=this._map.project(this._lngLat).round(),e=this.options.anchor;if(!e){var 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s=0,l=0;l<3;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;f(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;h(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var u=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*u,s-n[6]*u,l-n[10]*u),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.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},d.getDistanceLimits=function(t){var e=this.radius.bounds;return 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a=i.viewportWidth,o=i.viewportHeight;t.width=t.width||a-t.xOffset,t.height=t.height||o-t.yOffset,t.needsCopy=!0,de(t.xOffset>=0&&t.xOffset<a&&t.yOffset>=0&&t.yOffset<o&&t.width>0&&t.width<=a&&t.height>0&&t.height<=o,\"copy texture read out of bounds\")}else if(n){if(Qt(n))t.channels=t.channels||4,t.data=n,\"type\"in e||t.type!==Or||(t.type=At(n));else if(vt(n))t.channels=t.channels||4,Tt(t,n),t.alignment=1,t.needsFree=!0;else if(Z(n)){var s=n.data;Array.isArray(s)||t.type!==Or||(t.type=At(s));var l,c,h,f,d,p,m=n.shape,g=n.stride;3===m.length?(h=m[2],p=g[2]):(de(2===m.length,\"invalid ndarray pixel data, must be 2 or 3D\"),h=1,p=1),l=m[0],c=m[1],f=g[0],d=g[1],t.alignment=1,t.width=l,t.height=c,t.channels=h,t.format=t.internalformat=hn[h],t.needsFree=!0,Lt(t,s,f,d,p,n.offset)}else if(xt(n)||_t(n))xt(n)?t.element=n:t.element=n.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(wt(n))t.element=n,t.width=n.naturalWidth,t.height=n.naturalHeight,t.channels=4;else if(Mt(n))t.element=n,t.width=n.videoWidth,t.height=n.videoHeight,t.channels=4;else if(yt(n)){var v=t.width||n[0].length,y=t.height||n.length,b=t.channels;b=mt(n[0][0])?b||n[0][0].length:b||1;for(var x=Ce.shape(n),_=1,w=0;w<x.length;++w)_*=x[w];var M=St(t,_);Ce.flatten(n,x,\"\",M),Et(t,M),t.alignment=1,t.width=v,t.height=y,t.channels=b,t.format=t.internalformat=hn[b],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4;t.type===jr?de(r.extensions.indexOf(\"oes_texture_float\")>=0,\"oes_texture_float extension not enabled\"):t.type===wr&&de(r.extensions.indexOf(\"oes_texture_half_float\")>=0,\"oes_texture_half_float extension not enabled\")}function d(e,r,i){var a=e.element,o=e.data,s=e.internalformat,l=e.format,u=e.type,h=e.width,f=e.height;c(e),a?t.texImage2D(r,i,l,l,u,a):e.compressed?t.compressedTexImage2D(r,i,s,h,f,0,o):e.needsCopy?(n(),t.copyTexImage2D(r,i,l,e.xOffset,e.yOffset,h,f,0)):t.texImage2D(r,i,l,h,f,0,l,u,o)}function p(e,r,i,a,o){var s=e.element,l=e.data,u=e.internalformat,h=e.format,f=e.type,d=e.width,p=e.height;c(e),s?t.texSubImage2D(r,o,i,a,h,f,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,u,d,p,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,d,p)):t.texSubImage2D(r,o,i,a,d,p,h,f,l)}function m(){return K.pop()||new h}function g(t){t.needsFree&&Le.freeType(t.data),h.call(t),K.push(t)}function v(){s.call(this),this.genMipmaps=!1,this.mipmapHint=$r,this.mipmask=0,this.images=Array(16)}function y(t,e,r){var n=t.images[0]=m();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function b(t,e){var r=null;if(kt(e))r=t.images[0]=m(),l(r,t),f(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)r=t.images[i]=m(),l(r,t),r.width>>=i,r.height>>=i,f(r,n[i]),t.mipmask|=1<<i;else 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r=0;r<32;++r)if(0!=(e.mipmask&1<<r))if(e.target===nr)t.texImage2D(nr,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;n<6;++n)t.texImage2D(ar+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);A(e.texInfo,e.target)})}var P={\"don't care\":$r,\"dont care\":$r,nice:en,fast:tn},O={repeat:Ur,clamp:Vr,mirror:Hr},R={nearest:Yr,linear:Wr},F=$t({mipmap:Kr,\"nearest mipmap nearest\":Xr,\"linear mipmap nearest\":Zr,\"nearest mipmap linear\":Jr,\"linear mipmap linear\":Kr},R),j={none:0,browser:ln},N={uint8:Or,rgba4:pr,rgb565:gr,\"rgb5 a1\":mr},B={alpha:sr,luminance:ur,\"luminance alpha\":cr,rgb:lr,rgba:or,rgba4:hr,\"rgb5 a1\":fr,rgb565:dr},U={};e.ext_srgb&&(B.srgb=xr,B.srgba=_r),e.oes_texture_float&&(N.float32=N.float=jr),e.oes_texture_half_float&&(N.float16=N[\"half float\"]=wr),e.webgl_depth_texture&&($t(B,{depth:yr,\"depth stencil\":br}),$t(N,{uint16:Rr,uint32:Fr,\"depth 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i=this.computedMatrix;m[0]=i[2],m[1]=i[6],m[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;l<3;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];c(i,i,n,m);for(var l=0;l<3;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],u=n(o,s,l);o/=u,s/=u,l/=u;var c=a[0],h=a[4],f=a[8],d=c*o+h*s+f*l;c-=o*d,h-=s*d,f-=l*d;var p=n(c,h,f);c/=p,h/=p,f/=p;var m=c*e+o*r,g=h*e+s*r,v=f*e+l*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),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,a){var o=1;\"number\"==typeof r&&(o=0|r),(o<0||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],c=e[o+4],h=e[o+8];if(a){var 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.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,i.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 n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.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)}}),i.calendars.ethiopian=n},{\"../main\":581,\"object-assign\":470}],571:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.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 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t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(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 n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var 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 i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.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(\".\"),t.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,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.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)}}),o.calendars.mayan=n},{\"../main\":581,\"object-assign\":470}],575:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.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 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i.baseCalendar,a(n.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,i.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,i.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 n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,\n",
       "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(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,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]}}),i.calendars.nepali=n},{\"../main\":581,\"object-assign\":470}],577:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.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,a.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,a.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 n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),h=t-this.toJD(l,c,1)+1;return this.newDate(l,c,h)}}),a.calendars.persian=n,a.calendars.jalali=n},{\"../main\":581,\"object-assign\":470}],578:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.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,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.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 n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.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)}}),i.calendars.taiwan=n},{\"../main\":581,\"object-assign\":470}],579:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.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,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.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 n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.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)}}),i.calendars.thai=n},{\"../main\":581,\"object-assign\":470}],580:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.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,i.local.invalidYear);return 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n(){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 i(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(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.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(),n.newDate(t,e,r)},substituteDigits:function(t){\n",
       "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]}}}),l(i.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(u.local.invalidDate||u.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(u.local.differentCalendars||u.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?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.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,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return 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o=i[e];o.anchor&&\"free\"!==o.anchor&&(o.anchor=f.cleanId(o.anchor)),o.overlaying&&(o.overlaying=f.cleanId(o.overlaying)),o.type||(o.isdate?o.type=\"date\":o.islog?o.type=\"log\":!1===o.isdate&&!1===o.islog&&(o.type=\"linear\")),\"withzero\"!==o.autorange&&\"tozero\"!==o.autorange||(o.autorange=!0,o.rangemode=\"tozero\"),delete o.islog,delete o.isdate,delete o.categories,a(o,\"domain\")&&delete o.domain,void 0!==o.autotick&&(void 0===o.tickmode&&(o.tickmode=o.autotick?\"auto\":\"linear\"),delete o.autotick)}var s=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<s;e++){var u=t.annotations[e];c.isPlainObject(u)&&(u.ref&&(\"paper\"===u.ref?(u.xref=\"paper\",u.yref=\"paper\"):\"data\"===u.ref&&(u.xref=\"x\",u.yref=\"y\"),delete u.ref),n(u,\"xref\"),n(u,\"yref\"))}var p=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<p;e++){var m=t.shapes[e];c.isPlainObject(m)&&(n(m,\"xref\"),n(m,\"yref\"))}var g=t.legend;g&&(g.x>3?(g.x=1.02,g.xanchor=\"left\"):g.x<-2&&(g.x=-.02,g.xanchor=\"right\"),g.y>3?(g.y=1.02,g.yanchor=\"bottom\"):g.y<-2&&(g.y=-.02,g.yanchor=\"top\")),\"rotate\"===t.dragmode&&(t.dragmode=\"orbit\"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var v=h.getSubplotIds(t,\"gl3d\");for(e=0;e<v.length;e++){var y=t[v[e]],b=y.cameraposition;if(Array.isArray(b)&&4===b[0].length){var x=b[0],_=b[1],w=b[2],M=l([],x),k=[];for(r=0;r<3;++r)k[r]=_[e]+w*M[2+4*r];y.camera={eye:{x:k[0],y:k[1],z:k[2]},center:{x:_[0],y:_[1],z:_[2]},up:{x:M[1],y:M[5],z:M[9]}},delete y.cameraposition}}return d.clean(t),t},r.cleanData=function(t,e){for(var n=[],o=(t.concat(Array.isArray(e)?e:[]).filter(function(t){return\"uid\"in t}).map(function(t){return t.uid})),s=0;s<t.length;s++){var l,p=t[s];if(!(\"uid\"in p)||-1!==n.indexOf(p.uid)){var m;for(l=0;l<100&&(m=c.randstr(o),-1!==n.indexOf(m));l++);p.uid=c.randstr(o),o.push(p.uid)}if(n.push(p.uid),\"histogramy\"===p.type&&\"xbins\"in p&&!(\"ybins\"in p)&&(p.ybins=p.xbins,delete p.xbins),p.error_y&&\"opacity\"in p.error_y){var g=d.defaults,v=p.error_y.color||(u.traceIs(p,\"bar\")?d.defaultLine:g[s%g.length]);p.error_y.color=d.addOpacity(d.rgb(v),d.opacity(v)*p.error_y.opacity),delete p.error_y.opacity}if(\"bardir\"in p&&(\"h\"!==p.bardir||!u.traceIs(p,\"bar\")&&\"histogram\"!==p.type.substr(0,9)||(p.orientation=\"h\",r.swapXYData(p)),delete p.bardir),\"histogramy\"===p.type&&r.swapXYData(p),\"histogramx\"!==p.type&&\"histogramy\"!==p.type||(p.type=\"histogram\"),\"scl\"in p&&(p.colorscale=p.scl,delete p.scl),\"reversescl\"in p&&(p.reversescale=p.reversescl,delete p.reversescl),p.xaxis&&(p.xaxis=f.cleanId(p.xaxis,\"x\")),p.yaxis&&(p.yaxis=f.cleanId(p.yaxis,\"y\")),u.traceIs(p,\"gl3d\")&&p.scene&&(p.scene=h.subplotsRegistry.gl3d.cleanId(p.scene)),u.traceIs(p,\"pie\")||u.traceIs(p,\"bar\")||(Array.isArray(p.textposition)?p.textposition=p.textposition.map(i):p.textposition&&(p.textposition=i(p.textposition))),u.traceIs(p,\"2dMap\")&&(\"YIGnBu\"===p.colorscale&&(p.colorscale=\"YlGnBu\"),\"YIOrRd\"===p.colorscale&&(p.colorscale=\"YlOrRd\")),u.traceIs(p,\"markerColorscale\")&&p.marker){var y=p.marker;\"YIGnBu\"===y.colorscale&&(y.colorscale=\"YlGnBu\"),\"YIOrRd\"===y.colorscale&&(y.colorscale=\"YlOrRd\")}if(\"surface\"===p.type&&c.isPlainObject(p.contours)){var b=[\"x\",\"y\",\"z\"];for(l=0;l<b.length;l++){var x=p.contours[b[l]];c.isPlainObject(x)&&(x.highlightColor&&(x.highlightcolor=x.highlightColor,delete x.highlightColor),x.highlightWidth&&(x.highlightwidth=x.highlightWidth,delete x.highlightWidth))}}if(Array.isArray(p.transforms)){var _=p.transforms;for(l=0;l<_.length;l++){var w=_[l];if(c.isPlainObject(w))switch(w.type){case\"filter\":w.filtersrc&&(w.target=w.filtersrc,delete w.filtersrc),w.calendar&&(w.valuecalendar||(w.valuecalendar=w.calendar),delete w.calendar);break;case\"groupby\":if(w.styles=w.styles||w.style,w.styles&&!Array.isArray(w.styles)){var M=w.styles,k=Object.keys(M);w.styles=[];for(var A=0;A<k.length;A++)w.styles.push({target:k[A],value:M[k[A]]})}}}}a(p,\"line\")&&delete p.line,\"marker\"in p&&(a(p.marker,\"line\")&&delete p.marker.line,a(p,\"marker\")&&delete p.marker),d.clean(p)}},r.swapXYData=function(t){var e;if(c.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);c.swapAttrs(t,[\"error_?.copy_ystyle\"]),n&&c.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){return s(e)?[e]:Array.isArray(e)&&e.length?e:t.data.map(function(t,e){return e})},r.manageArrayContainers=function(t,e,r){var n=t.obj,i=t.parts,a=i.length,o=i[a-1],l=s(o);if(l&&null===e){var u=i.slice(0,a-1).join(\".\");c.nestedProperty(n,u).get().splice(o,1)}else l&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var p=/(\\.[^\\[\\]\\.]+|\\[[^\\[\\]\\.]+\\])$/;r.hasParent=function(t,e){for(var r=o(e);r;){if(r in t)return!0;r=o(r)}return!1};var m=[\"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 o=f.getFromTrace(t,i,m[a]);if(o&&\"log\"!==o.type){var s=o._name,l=o._id.substr(1);if(\"scene\"===l.substr(0,5)){if(void 0!==r[l])continue;s=l+\".\"+s}var u=s+\".type\";void 0===r[s]&&void 0===r[u]&&c.nestedProperty(t.layout,u).set(null)}}}},{\"../components/color\":604,\"../lib\":728,\"../plots/cartesian/axes\":772,\"../plots/plots\":831,\"../registry\":846,\"fast-isnumeric\":131,\"gl-mat4/fromQuat\":178}],758:[function(t,e,r){\"use strict\";var n=t(\"../lib/nested_property\"),i=t(\"../lib/is_plain_object\"),a=t(\"../lib/noop\"),o=t(\"../lib/loggers\"),s=t(\"../lib/search\").sorterAsc,l=t(\"../registry\");r.containerArrayMatch=t(\"./container_array_match\");var u=r.isAddVal=function(t){return\"add\"===t||i(t)},c=r.isRemoveVal=function(t){return null===t||\"remove\"===t};r.applyContainerArrayChanges=function(t,e,r,i){var h=e.astr,f=l.getComponentMethod(h,\"supplyLayoutDefaults\"),d=l.getComponentMethod(h,\"draw\"),p=l.getComponentMethod(h,\"drawOne\"),m=i.replot||i.recalc||f===a||d===a,g=t.layout,v=t._fullLayout;if(r[\"\"]){Object.keys(r).length>1&&o.warn(\"Full array edits are incompatible with other edits\",h);var y=r[\"\"][\"\"];if(c(y))e.set(null);else{if(!Array.isArray(y))return o.warn(\"Unrecognized full array edit value\",h,y),!0;e.set(y)}return!m&&(f(g,v),d(t),!0)}var b,x,_,w,M,k,A,T=Object.keys(r).map(Number).sort(s),S=e.get(),E=S||[],L=n(v,h).get(),C=[],I=-1,z=E.length;for(b=0;b<T.length;b++)if(_=T[b],w=r[_],M=Object.keys(w),k=w[\"\"],A=u(k),_<0||_>E.length-(A?0:1))o.warn(\"index out of range\",h,_);else if(void 0!==k)M.length>1&&o.warn(\"Insertion & removal are incompatible with edits to the same index.\",h,_),c(k)?C.push(_):A?(\"add\"===k&&(k={}),E.splice(_,0,k),L&&L.splice(_,0,{})):o.warn(\"Unrecognized full object edit value\",h,_,k),-1===I&&(I=_);else for(x=0;x<M.length;x++)n(E[_],M[x]).set(w[M[x]]);for(b=C.length-1;b>=0;b--)E.splice(C[b],1),L&&L.splice(C[b],1);if(E.length?S||e.set(E):e.set(null),m)return!1;if(f(g,v),p!==a){var D;if(-1===I)D=T;else{for(z=Math.max(E.length,z),D=[],b=0;b<T.length&&!((_=T[b])>=I);b++)D.push(_);for(b=I;b<z;b++)D.push(b)}for(b=0;b<D.length;b++)p(t,D[b])}else d(t);return!0}},{\"../lib/is_plain_object\":730,\"../lib/loggers\":732,\"../lib/nested_property\":735,\"../lib/noop\":736,\"../lib/search\":745,\"../registry\":846,\"./container_array_match\":755}],759:[function(t,e,r){\"use strict\";function n(t,e){try{t._fullLayout._paper.style(\"background\",e)}catch(t){w.error(t)}}function i(t,e){n(t,I.combine(e,\"white\"))}function a(t,e){t._context||(t._context=w.extendDeep({},_.defaultConfig));var r,a,o,s=t._context;if(e){for(a=Object.keys(e),r=0;r<a.length;r++)\"editable\"!==(o=a[r])&&\"edits\"!==o&&o in s&&(\"setBackground\"===o&&\"opaque\"===e[o]?s[o]=i:s[o]=e[o]);e.plot3dPixelRatio&&!s.plotGlPixelRatio&&(s.plotGlPixelRatio=s.plot3dPixelRatio);var l=e.editable;if(void 0!==l)for(s.editable=l,a=Object.keys(s.edits),r=0;r<a.length;r++)s.edits[a[r]]=l;if(e.edits)for(a=Object.keys(e.edits),r=0;r<a.length;r++)(o=a[r])in s.edits&&(s.edits[o]=e.edits[o])}s.staticPlot&&(s.editable=!1,s.edits={},s.autosizable=!1,s.scrollZoom=!1,s.doubleClick=!1,s.showTips=!1,s.showLink=!1,s.displayModeBar=!1),\"hover\"!==s.displayModeBar||x||(s.displayModeBar=!0),\"transparent\"!==s.setBackground&&\"function\"==typeof s.setBackground||(s.setBackground=n)}function o(t,e,r){var n=y.select(t).selectAll(\".plot-container\").data([0]);n.enter().insert(\"div\",\":first-child\").classed(\"plot-container plotly\",!0);var i=n.selectAll(\".svg-container\").data([0]);i.enter().append(\"div\").classed(\"svg-container\",!0).style(\"position\",\"relative\"),i.html(\"\"),e&&(t.data=e),r&&(t.layout=r),E.manager.fillLayout(t),i.style({width:t._fullLayout.width+\"px\",height:t._fullLayout.height+\"px\"}),t.framework=E.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;\"\"!==s&&s||(o=0);var l=function(){this.call(P.convertToTspans,t)},u=a.select(\".title-group text\").call(l);if(t._context.edits.titleText){s&&\"Click to enter title\"!==s||(o=.2,u.attr({\"data-unformatted\":\"Click to enter title\"}).text(\"Click to enter title\").style({opacity:o}).on(\"mouseover.opacity\",function(){y.select(this).transition().duration(100).style(\"opacity\",1)}).on(\"mouseout.opacity\",function(){y.select(this).transition().duration(1e3).style(\"opacity\",0)}));var c=function(){this.call(P.makeEditable,{gd:t}).on(\"edit\",function(e){t.framework({layout:{title:e}}),this.text(e).call(l),this.call(c)}).on(\"cancel\",function(){var t=this.attr(\"data-unformatted\");this.text(t).call(l)})};u.call(c)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),S.addLinks(t),Promise.resolve()}function s(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)n=t[r],n<0?a.push(i+n):a.push(n);return a}function l(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 u(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]),l(t,e,\"currentIndices\"),void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&l(t,r,\"newIndices\"),void 0!==r&&e.length!==r.length)throw new Error(\"current and new indices must be of equal length.\")}function c(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\")}function h(t,e,r,n){var i=w.isPlainObject(n);if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array\");if(!w.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\");l(t,r,\"indices\");for(var a in 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\")}}function f(t,e,r,n){var i,a,o,l,u,c=w.isPlainObject(n),h=[];Array.isArray(r)||(r=[r]),r=s(r,t.data.length-1);for(var f in e)for(var d=0;d<r.length;d++){if(i=t.data[r[d]],o=w.nestedProperty(i,f),a=o.get(),l=e[f][d],!Array.isArray(l))throw new Error(\"attribute: \"+f+\" index: \"+d+\" must be an array\");if(!Array.isArray(a))throw new Error(\"cannot extend missing or non-array attribute: \"+f);u=c?n[f][d]:n,b(u)||(u=-1),h.push({prop:o,target:a,insert:l,maxp:Math.floor(u)})}return h}function d(t,e,r,n,i,a){h(t,e,r,n);for(var o,s,l,u=f(t,e,r,n),c=[],d={},p={},m=0;m<u.length;m++)s=u[m].prop,l=u[m].maxp,o=i(u[m].target,u[m].insert),l>=0&&l<o.length&&(c=a(o,l)),l=u[m].target.length,s.set(o),Array.isArray(d[s.astr])||(d[s.astr]=[]),Array.isArray(p[s.astr])||(p[s.astr]=[]),d[s.astr].push(c),p[s.astr].push(l);return{update:d,maxPoints:p}}function p(t){return void 0===t?null:t}function m(t,e,r){function n(){return r.map(function(){})}function i(t){var e=_.Axes.id2name(t);-1===u.indexOf(e)&&u.push(e)}function a(t){return\"LAYOUT\"+t+\".autorange\"}function o(t){return\"LAYOUT\"+t+\".range\"}function s(i,a,o){if(Array.isArray(i))return void i.forEach(function(t){s(t,a,o)});if(!(i in e||R.hasParent(e,i))){var l;l=\"LAYOUT\"===i.substr(0,6)?w.nestedProperty(t.layout,i.replace(\"LAYOUT\",\"\")):w.nestedProperty(f[r[o]],i),i in g||(g[i]=n()),void 0===g[i][o]&&(g[i][o]=p(l.get())),void 0!==a&&l.set(a)}}var l,u,c=t._fullLayout,h=t._fullData,f=t.data,d=j.traceFlags(),m={},g={},v={};for(var y in e){if(R.hasParent(e,y))throw 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n,i,a,o,s=V.getFromId(t,e),l=w.select(t).selectAll(\"g.\"+e+\"tick\"),u={selection:l,side:s.side},h=e.charAt(0),f=t._fullLayout._size,d=s.titlefont.size;if(l.size()){var p=L.getTranslate(l.node().parentNode);u.offsetLeft=p.x,u.offsetTop=p.y}var 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h=e._isScoped=\"world\"!==o,f=e._isConic=-1!==u.indexOf(\"conic\");e._isClipped=!!a.lonaxisSpan[u];for(var d=0;d<s.length;d++){var p,m=s[d],g=[30,10][d];if(h)p=l[m+\"Range\"];else{var v=a[m+\"Span\"],y=(v[u]||v[\"*\"])/2,b=r(\"projection.rotation.\"+m.substr(0,3),l.projRotate[d]);p=[b-y,b+y]}r(m+\".tick0\",r(m+\".range\",p)[0]),r(m+\".dtick\",g),n=r(m+\".showgrid\"),n&&(r(m+\".gridcolor\"),r(m+\".gridwidth\"))}var x=e.lonaxis.range,_=e.lataxis.range,w=x[0],M=x[1];w>0&&M<0&&(M+=360);var k,A=(w+M)/2;if(!c){var T=h?l.projRotate:[A,0,0];k=r(\"projection.rotation.lon\",T[0]),r(\"projection.rotation.lat\",T[1]),r(\"projection.rotation.roll\",T[2]),n=r(\"showcoastlines\",!h),n&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),n=r(\"showocean\"),n&&r(\"oceancolor\")}var 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r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],u=e[3];return[r*o-n*s-i*l-a*u,r*s+n*o+i*u-a*l,r*l-n*u+i*o+a*s,r*u+n*l-i*s+a*o]}function f(t,e){if(t&&e){var r=x(t,e),n=Math.sqrt(b(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,b(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function d(t,e,r){var n=g(e,2,t[0]);n=g(n,1,t[1]),n=g(n,0,t[2]-r[2]);var i,a,o=e[0],s=e[1],l=e[2],u=n[0],c=n[1],h=n[2],f=Math.atan2(s,o)*A,d=Math.sqrt(o*o+s*s);Math.abs(c)>d?(a=(c>0?90:-90)-f,i=0):(a=Math.asin(c/d)*A-f,i=Math.sqrt(d*d-c*c));var m=180-a-2*f,v=(Math.atan2(h,u)-Math.atan2(l,i))*A,y=(Math.atan2(h,u)-Math.atan2(l,-i))*A;return p(r[0],r[1],a,v)<=p(r[0],r[1],m,y)?[a,v,r[2]]:[m,y,r[2]]}function p(t,e,r,n){var i=m(r-t),a=m(n-e);return Math.sqrt(i*i+a*a)}function m(t){return(t%360+540)%360-180}function g(t,e,r){var n=r*k,i=t.slice(),a=0===e?1:0,o=2===e?1:2,s=Math.cos(n),l=Math.sin(n);return i[a]=t[a]*s-t[o]*l,i[o]=t[o]*s+t[a]*l,i}function 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n(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]}function i(t){function e(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function r(){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}function i(n,i,a){function o(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,h.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var s,u,f=t.calcDataBox(),d=c.viewBox,p=h.lastPos[0],m=h.lastPos[1],g=l.MINDRAG*c.pixelRatio,v=l.MINZOOM*c.pixelRatio;switch(i*=c.pixelRatio,a*=c.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];h.boxInited||(h.boxStart[0]=y,h.boxStart[1]=b,h.dragStart[0]=i,h.dragStart[1]=a),h.boxEnd[0]=y,h.boxEnd[1]=b,h.boxInited=!0,h.boxEnabled||h.boxStart[0]===h.boxEnd[0]&&h.boxStart[1]===h.boxEnd[1]||(h.boxEnabled=!0);var x=Math.abs(h.dragStart[0]-i)<v,_=Math.abs(h.dragStart[1]-a)<v;if(!r()||x&&_)x&&(h.boxEnd[0]=h.boxStart[0]),_&&(h.boxEnd[1]=h.boxStart[1]);else{s=h.boxEnd[0]-h.boxStart[0],u=h.boxEnd[1]-h.boxStart[1];var 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h.boxEnabled?(s=h.boxStart[0]!==h.boxEnd[0],u=h.boxStart[1]!==h.boxEnd[1],s||u?(s&&(o(0,h.boxStart[0],h.boxEnd[0]),t.xaxis.autorange=!1),u&&(o(1,h.boxStart[1],h.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),h.boxEnabled=!1,h.boxInited=!1):h.boxInited&&(h.boxInited=!1);break;case\"pan\":h.boxEnabled=!1,h.boxInited=!1,n?(h.panning||(h.dragStart[0]=i,h.dragStart[1]=a),Math.abs(h.dragStart[0]-i)<g&&(i=h.dragStart[0]),Math.abs(h.dragStart[1]-a)<g&&(a=h.dragStart[1]),s=(p-i)*(f[2]-f[0])/(c.viewBox[2]-c.viewBox[0]),u=(m-a)*(f[3]-f[1])/(c.viewBox[3]-c.viewBox[1]),f[0]+=s,f[2]+=s,f[1]+=u,f[3]+=u,t.setRanges(f),h.panning=!0,h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):h.panning&&(h.panning=!1,t.relayoutCallback())}h.lastPos[0]=i,h.lastPos[1]=a}var u=t.mouseContainer,c=t.glplot,h=new n(u,c);return h.mouseListener=a(u,i),u.addEventListener(\"touchstart\",function(t){var e=s(t.changedTouches[0],u);i(0,e[0],e[1]),i(1,e[0],e[1])}),u.addEventListener(\"touchmove\",function(t){t.preventDefault();var e=s(t.changedTouches[0],u);i(1,e[0],e[1])}),u.addEventListener(\"touchend\",function(){i(0,h.lastPos[0],h.lastPos[1])}),h.wheelListener=o(u,function(r,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=c.viewBox,o=h.lastPos[0],s=h.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),u=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-u)*l+u,i[2]=(i[2]-u)*l+u,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),h}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":777,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455}],807:[function(t,e,r){\"use strict\";function n(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}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?-1!==String(i).indexOf(\"all\"):!!i,f=u?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.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},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0\n",
       ";var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\"../../lib/html2unicode\":726,\"../../lib/str2rgbarray\":749,\"../cartesian/axes\":772,\"../plots\":831}],808:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../plots\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),u=t(\"../../components/fx/layout_attributes\");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.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.layoutAttributes.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=a.getSubplotIds(e,\"gl2d\"),o=0;o<n.length;o++){var s=n[o],l=e._plots[s],u=a.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=a.getSubplotIds(n,\"gl2d\"),o=0;o<i.length;o++){var s=i[o],u=n._plots[s];if(u._scene2d){0===a.getSubplotData(t,\"gl2d\",s).length&&(u._scene2d.destroy(),delete n._plots[s])}}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=a.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var i=e._plots[r[n]],s=i._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}},r.updateFx=function(t){for(var e=a.getSubplotIds(t,\"gl2d\"),r=0;r<e.length;r++){t._plots[e[r]]._scene2d.updateFx(t.dragmode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../plot_api/edit_types\":756,\"../cartesian\":782,\"../cartesian/attributes\":771,\"../cartesian/constants\":777,\"../plots\":831,\"./scene2d\":809}],809:[function(t,e,r){\"use strict\";function n(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,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(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}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../components/fx\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),g=t(\"../../lib/html2unicode\"),v=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=y.enforce,x=y.clean,_=[\"xaxis\",\"yaxis\"];e.exports=n;var w=n.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||v(this),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),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\",i.style[\"pointer-events\"]=\"auto\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i);var l=this;i.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),i.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},w.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),this.redraw&&this.redraw(),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=g(t[e][r].text+\"\");return t},w.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.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&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.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.staticPlot||this.container.removeChild(this.canvas),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}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),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:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};x(s,this.xaxis),x(s,this.yaxis);var u=r._size,c=this.xaxis.domain,h=this.yaxis.domain;o.viewBox=[u.l+c[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-c[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(c[1]-c[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+c[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\";var f=this.bounds;f[0]=f[1]=1/0,f[2]=f[3]=-1/0;var d,p,m=Object.keys(this.traces);for(p=0;p<m.length;++p)for(var g=this.traces[m[p]],v=0;v<2;++v)f[v]=Math.min(f[v],g.bounds[v]),f[v+2]=Math.max(f[v+2],g.bounds[v+2]);for(p=0;p<2;++p)f[p]>f[p+2]&&(f[p]=-1,f[p+2]=1),d=this[_[p]],d._length=o.viewBox[p+2]-o.viewBox[p],l.doAutoRange(d),d.setScale();b(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.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])]},w.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])]},w.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],i.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],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){this.mouseContainer.style[\"pointer-events\"]=\"lasso\"===t||\"select\"===t?\"none\":\"auto\",this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.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};u.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},w.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,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=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])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.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(p,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=u.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var b=y.split(\"+\");-1===b.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===b.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===b.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===b.indexOf(\"text\")&&(m.textLabel=void 0),-1===b.indexOf(\"name\")&&(m.name=void 0)}u.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:u.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:u.castHoverOption(g,v,\"bordercolor\"),fontFamily:u.castHoverOption(g,v,\"font.family\"),fontSize:u.castHoverOption(g,v,\"font.size\"),fontColor:u.castHoverOption(g,v,\"font.color\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":645,\"../../lib/html2unicode\":726,\"../../lib/show_no_webgl_msg\":747,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/constraints\":779,\"../../registry\":846,\"./camera\":806,\"./convert\":807,\"gl-plot2d\":219,\"gl-select-box\":253,\"gl-spikes2d\":262,\"webgl-context\":563}],810:[function(t,e,r){\"use strict\";function n(t,e){function r(e,r,n,a){var o=p.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,f=!!a.control,d=!!a.alt,y=!!a.shift,b=!!(1&e),x=!!(2&e),_=!!(4&e),w=1/t.clientHeight,M=w*(r-m),k=w*(n-g),A=p.flipX?1:-1,T=p.flipY?1:-1,S=i(),E=Math.PI*p.rotateSpeed;if((s&&b&&!f&&!d&&!y||b&&!f&&!d&&y)&&u.rotate(S,A*E*M,-T*E*k,0),(l&&b&&!f&&!d&&!y||x||b&&f&&!d&&!y)&&u.pan(S,-p.translateSpeed*M*h,p.translateSpeed*k*h,0),c&&b&&!f&&!d&&!y||_||b&&!f&&d&&!y){var L=-p.zoomSpeed*k/window.innerHeight*(S-u.lastT())*100;u.pan(S,0,0,h*(Math.exp(L)-1))}return m=r,g=n,v=a,!0}}t=t||document.body,e=e||{};var n=[.01,1/0];\"distanceLimits\"in e&&(n[0]=e.distanceLimits[0],n[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(n[0]=e.zoomMin),\"zoomMax\"in e&&(n[1]=e.zoomMax);var u=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:n}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,d=t.clientHeight,p={keyBindingMode:\"rotate\",view:u,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:u.modes,tick:function(){var e=i(),r=this.delay,n=e-2*r;u.idle(e-r),u.recalcMatrix(n),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===d;return f=t.clientWidth,d=t.clientHeight,a?!l:(h=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};Object.defineProperties(p,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),n=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=i();u._active.lookAt(a,r,n,e),u._active.lookAt(a+500,r,n,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(n)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var m=0,g=0,v={shift:!1,control:!1,alt:!1,meta:!1};return p.mouseListener=o(t,r),t.addEventListener(\"touchstart\",function(e){var n=l(e.changedTouches[0],t);r(0,n[0],n[1],v),r(1,n[0],n[1],v)}),t.addEventListener(\"touchmove\",function(e){var n=l(e.changedTouches[0],t);r(1,n[0],n[1],v)}),t.addEventListener(\"touchend\",function(){r(0,m,g,v)}),p.wheelListener=s(t,function(t,e){if(!1!==p.keyBindingMode){var r=p.flipX?1:-1,n=p.flipY?1:-1,a=i();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else{var o=-p.zoomSpeed*n*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,h*(Math.exp(o)-1))}}},!0),p}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\"),l=t(\"mouse-event-offset\")},{\"3d-view\":37,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455,\"right-now\":502}],811:[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(\"../plots\"),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=o.getSubplotIds(e,\"gl3d\"),i=0;i<n.length;i++){var l=n[i],u=o.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new a({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=s.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"gl3d\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._scene&&(n[s]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+s).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"gl3d\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],s=a.domain,u=a._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*s.x[0],y:n.t+n.h*(1-s.y[1]),width:n.w*(s.x[1]-s.x[0]),height:n.h*(s.y[1]-s.y[0]),preserveAspectRatio:\"none\"}),u.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=o.getSubplotIds(t,\"gl3d\"),r=0;r<e.length;r++){t[e[r]]._scene.updateFx(t.dragmode,t.hovermode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../../plot_api/edit_types\":756,\"../plots\":831,\"./layout/attributes\":812,\"./layout/defaults\":816,\"./layout/layout_attributes\":817,\"./scene\":821}],812:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],813:[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:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,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,separatethousands:i.separatethousands,tickformat:i.tickformat,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},\"plot\",\"from-root\")},{\"../../../components/color\":604,\"../../../lib/extend\":717,\"../../../plot_api/edit_types\":756,\"../../cartesian/layout_attributes\":783}],814:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var d=l[f];c=t[d]||{},h=e[d]={_id:d[0]+r.scene,_name:d},o(c,h,u,r.data),s(c,h,u,{font:r.font,letter:d[0],data:r.data,showGrid:!0,bgColor:r.bgColor,calendar:r.calendar}),u(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),u(\"title\",d[0]),h.setScale=i.noop,u(\"showspikes\")&&(u(\"spikesides\"),u(\"spikethickness\"),u(\"spikecolor\",h.color)),u(\"showaxeslabels\"),u(\"showbackground\")&&u(\"backgroundcolor\")}}},{\"../../../lib\":728,\"../../cartesian/axis_defaults\":774,\"../../cartesian/type_defaults\":794,\"./axis_attributes\":813,tinycolor2:534}],815:[function(t,e,r){\"use strict\";function n(){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 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a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):!0===n.mirror?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&!1!==n.showbackground?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":726,\"../../../lib/str2rgbarray\":749}],816:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),s=a.combine(i,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:s,calendar:n.calendar}),o.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../../registry\"),s=t(\"../../subplot_defaults\"),l=t(\"./axis_defaults\"),u=t(\"./layout_attributes\");e.exports=function(t,e,r){function a(e){if(!o){return i.validate(t[e],u[e])?t[e]:void 0}}var o=e._basePlotModules.length>1;s(t,e,r,{type:\"gl3d\",attributes:u,handleDefaults:n,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":604,\"../../../lib\":728,\"../../../registry\":846,\"../../subplot_defaults\":838,\"./axis_defaults\":814,\"./layout_attributes\":817}],817:[function(t,e,r){\"use strict\";function n(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\"}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{}),editType:\"camera\"},domain:{x:{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\"},y:{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\"},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:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\",editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":728,\"../../../lib/extend\":717,\"./axis_attributes\":813}],818:[function(t,e,r){\"use strict\";function n(){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]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":749}],819:[function(t,e,r){\"use strict\";function n(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}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],Math.abs(f._length)===1/0)c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),g=0;g<m.length;++g)m[g].x=m[g].x*t.dataScale[h],m[g].text=s(m[g].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var g=0;g<2;++g)e.bounds[g][h]=t.glplot.bounds[g][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":728,\"../../../lib/html2unicode\":726,\"../../cartesian/axes\":772}],820:[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}function i(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}e.exports=i},{}],821:[function(t,e,r){\"use strict\";function n(t){function e(e,r){var n=t.fullSceneLayout[e];return g.tickText(n,n.d2l(r),\"hover\").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+a+\" \"+o),n.setAttributeNS(null,\"width\",a),n.setAttributeNS(null,\"height\",o),k(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,u=t.glplot.selection,c=0;c<s.length;++c)r=t.traces[s[c]],\"skip\"!==r.data.hoverinfo&&r.handlePick(u)&&(l=r),r.setContourLevels&&r.setContourLevels();var h;if(null!==l){var f=_(t.glplot.cameraParams,u.dataCoordinate);r=l.data;var d=u.index,p=v.castHoverinfo(r,t.fullLayout,d),m=e(\"xaxis\",u.traceCoordinate[0]),y=e(\"yaxis\",u.traceCoordinate[1]),b=e(\"zaxis\",u.traceCoordinate[2]);if(\"all\"!==p){var x=p.split(\"+\");-1===x.indexOf(\"x\")&&(m=void 0),-1===x.indexOf(\"y\")&&(y=void 0),-1===x.indexOf(\"z\")&&(b=void 0),-1===x.indexOf(\"text\")&&(u.textLabel=void 0),-1===x.indexOf(\"name\")&&(l.name=void 0)}t.fullSceneLayout.hovermode&&v.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:m,yLabel:y,zLabel:b,text:u.textLabel,name:l.name,color:v.castHoverOption(r,d,\"bgcolor\")||l.color,borderColor:v.castHoverOption(r,d,\"bordercolor\"),fontFamily:v.castHoverOption(r,d,\"font.family\"),fontSize:v.castHoverOption(r,d,\"font.size\"),fontColor:v.castHoverOption(r,d,\"font.color\")},{container:n,gd:t.graphDiv});var w={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:r._input,fullData:r,curveNumber:r.index,pointNumber:d};v.appendArrayPointValue(w,r,d);var M={points:[w]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",M):t.graphDiv.emit(\"plotly_hover\",M),h=M}else v.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h);t.drawAnnotations(t)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");a.pixelRatio=t.pixelRatio,a.gl=h,a.canvas=c}try{t.glplot=f(a)}catch(e){b(t)}var o=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+\".camera\"]=u(t.camera),t.saveCamera(t.graphDiv.layout),t.graphDiv.emit(\"plotly_relayout\",e)}};if(t.glplot.canvas.addEventListener(\"mouseup\",o.bind(null,t)),t.glplot.canvas.addEventListener(\"wheel\",o.bind(null,t)),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(t){m.warn(\"Lost WebGL context.\"),t.preventDefault()}),!t.camera){var s=t.fullSceneLayout.camera\n",
       ";t.camera=x(t.container,{center:[s.center.x,s.center.y,s.center.z],eye:[s.eye.x,s.eye.y,s.eye.z],up:[s.up.x,s.up.y,s.up.z],zoomMin:.1,zoomMax:100,mode:\"orbit\"})}return t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=n.bind(null,t),t.traces={},!0}function a(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=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\",r.appendChild(a),this.svgContainer=a,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=w(e[this.id]),this.spikeOptions=M(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=p.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=p.getComponentMethod(\"annotations3d\",\"draw\"),i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(t){return{up:{x:t.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]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../registry\"),m=t(\"../../lib\"),g=t(\"../../plots/cartesian/axes\"),v=t(\"../../components/fx\"),y=t(\"../../lib/str2rgbarray\"),b=t(\"../../lib/show_no_webgl_msg\"),x=t(\"./camera\"),_=t(\"./project\"),w=t(\"./layout/convert\"),M=t(\"./layout/spikes\"),k=t(\"./layout/tick_marks\"),A=a.prototype;A.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void m.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];A.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=y(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),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)n=t[a],!0===n.visible&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,this.convertAnnotations(this),a=0;a<t.length;++a)n=t[a],!0===n.visible&&(i=this.traces[n.uid],i?i.update(n):(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)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],g=[],v={};for(a=0;a<3;++a){if(l=c[T[a]],u=l.type,u in v?(v[u].acc*=d[a],v[u].count+=1):v[u]={acc:d[a],count:1},l.autorange){m[0][a]=1/0,m[1][a]=-1/0;var b=this.glplot.objects,x=this.fullSceneLayout.annotations||[],_=l._name.charAt(0);for(o=0;o<b.length;o++){var w=b[o].bounds;m[0][a]=Math.min(m[0][a],w[0][a]/d[a]),m[1][a]=Math.max(m[1][a],w[1][a]/d[a])}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var k=l.r2l(M[_]);m[0][a]=Math.min(m[0][a],k),m[1][a]=Math.max(m[1][a],k)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var A=m[1][a]-m[0][a];m[0][a]-=A/32,m[1][a]+=A/32}}else{var S=l.range;m[0][a]=l.r2l(S[0]),m[1][a]=l.r2l(S[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),g[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var E=[1,1,1];for(a=0;a<3;++a){l=c[T[a]],u=l.type;var L=v[u];E[a]=Math.pow(L.acc,1/L.count)/d[a]}var C;if(\"auto\"===c.aspectmode)C=Math.max.apply(null,E)/Math.min.apply(null,E)<=4?E:[1,1,1];else if(\"cube\"===c.aspectmode)C=[1,1,1];else if(\"data\"===c.aspectmode)C=E;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var 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f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},A.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];g.setConvert(e,this.fullLayout),e.setScale=m.noop}},e.exports=a},{\"../../components/fx\":645,\"../../lib\":728,\"../../lib/show_no_webgl_msg\":747,\"../../lib/str2rgbarray\":749,\"../../plots/cartesian/axes\":772,\"../../registry\":846,\"./camera\":810,\"./layout/convert\":815,\"./layout/spikes\":818,\"./layout/tick_marks\":819,\"./project\":820,\"gl-plot3d\":221,\"webgl-context\":563}],822:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"../components/color/attributes\"),a=n({editType:\"calc\"});a.family.dflt='\"Open Sans\", verdana, arial, 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],824:[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=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":728}],825:[function(t,e,r){\"use 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h=s[c],f=o.getSubplotCalcData(r,\"mapbox\",h),d=e[h],p=d._subplot;d.accesstoken=u,p||(p=l({gd:t,container:e._glcontainer.node(),id:h,fullLayout:e,staticPlot:t._context.staticPlot}),e[h]._subplot=p),p.viewInitial||(p.viewInitial={center:a.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),p.plot(f,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"mapbox\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._subplot&&n[s]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"mapbox\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],l=a.domain,u=a._subplot,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:s.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"mapbox\"),r=0;r<e.length;r++){t[e[r]]._subplot.updateFx(t)}}},{\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../plots\":831,\"./constants\":823,\"./layout_attributes\":827,\"./layout_defaults\":828,\"./mapbox\":829,\"mapbox-gl\":343}],826:[function(t,e,r){\"use strict\";function n(t,e){this.mapbox=t,this.map=t.map,this.uid=t.uid+\"-layer\"+e,this.idSource=this.uid+\"-source\",this.idLayer=this.uid+\"-layer\",this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}function i(t){var e=t.source;return s.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function a(t){var e={},r={};switch(t.type){case\"circle\":s.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":s.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity});break;case\"fill\":s.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var n=t.symbol,i=l(n.textposition,n.iconsize);s.extendFlat(e,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset}),s.extendFlat(r,{\"icon-color\":t.color,\"text-color\":n.textfont.color,\"text-opacity\":t.opacity})}return{layout:e,paint:r}}function o(t){var e,r=t.sourcetype,n=t.source,i={type:r},a=\"string\"==typeof n;return\"geojson\"===r?e=\"data\":\"vector\"===r&&(e=a?\"url\":\"tiles\"),i[e]=n,i}var s=t(\"../../lib\"),l=t(\"./convert_text_opts\"),u=n.prototype;u.update=function(t){this.visible?this.needsNewSource(t)?(this.updateLayer(t),this.updateSource(t)):this.needsNewLayer(t)&&this.updateLayer(t):(this.updateSource(t),this.updateLayer(t)),this.updateStyle(t),this.visible=i(t)},u.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},u.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==t.below},u.updateSource=function(t){var e=this.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,i(t)){var r=o(t);e.addSource(this.idSource,r)}},u.updateLayer=function(t){var e=this.map;if(e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),this.layerType=t.type,i(t)){e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type},t.below);var r={visibility:\"visible\"};this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",r)}},u.updateStyle=function(t){var e=a(t);i(t)&&(this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.mapbox.setOptions(this.idLayer,\"setPaintProperty\",e.paint))},u.dispose=function(){var t=this.map;t.removeLayer(this.idLayer),t.removeSource(this.idSource)},e.exports=function(t,e,r){var i=new n(t,e);return i.update(r),i}},{\"../../lib\":728,\"./convert_text_opts\":824}],827:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../font_attributes\"),o=t(\"../../traces/scatter/attributes\").textposition,s=t(\"../../plot_api/edit_types\").overrideAll,l=a({});l.family.dflt=\"Open Sans Regular, Arial Unicode MS 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a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"./layout_attributes\");e.exports=function(t,e,r){o(t,e,r,{type:\"mapbox\",attributes:s,handleDefaults:n,partition:\"y\"})}},{\"../../lib\":728,\"../subplot_defaults\":838,\"./layout_attributes\":827}],829:[function(t,e,r){\"use strict\";function n(t){this.id=t.id,this.gd=t.gd,this.container=t.container,this.isStatic=t.staticPlot;var e=t.fullLayout;this.uid=e._uid+\"-\"+this.id,this.opts=e[this.id],this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(e),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[]}function i(t){var e=d.style.values,r=d.style.dflt,n={};return u.isPlainObject(t)?(n.id=t.id,n.style=t):\"string\"==typeof t?(n.id=t,n.style=-1!==e.indexOf(t)?a(t):t):(n.id=r,n.style=a(r)),n}function a(t){return f.styleUrlPrefix+t+\"-\"+f.styleUrlSuffix}function o(t){return[t.lon,t.lat]}var 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n=t(\"../../../components/color/attributes\"),i=t(\"./axis_attributes\"),a=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=a({domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:i,baxis:i,caxis:i},\"plot\",\"from-root\")},{\"../../../components/color/attributes\":603,\"../../../plot_api/edit_types\":756,\"./axis_attributes\":841}],845:[function(t,e,r){\"use strict\";function n(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e)}function i(t){a.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}var 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r,n,i,a,o,s,l=this,d=t.domain,p=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,g=d.x[1]-d.x[0],v=d.y[1]-d.y[0],y=g*e.w,b=v*e.h,x=t.sum,w=t.aaxis.min,M=t.baxis.min,k=t.caxis.min;y>_*b?(a=b,i=a*_):(i=y,a=i/_),o=g*i/y,s=v*a/b,r=e.l+e.w*p-i/2,n=e.t+e.h*(1-m)-a/2,l.x0=r,l.y0=n,l.w=i,l.h=a,l.sum=x,l.xaxis={type:\"linear\",range:[w+2*k-x,x-w-2*M],domain:[p-o/2,p+o/2],_id:\"x\"},h(l.xaxis,l.graphDiv._fullLayout),l.xaxis.setScale(),l.xaxis.isPtWithinRange=function(t){return t.a>=l.aaxis.range[0]&&t.a<=l.aaxis.range[1]&&t.b>=l.baxis.range[1]&&t.b<=l.baxis.range[0]&&t.c>=l.caxis.range[1]&&t.c<=l.caxis.range[0]},l.yaxis={type:\"linear\",range:[w,x-M-k],domain:[m-s/2,m+s/2],_id:\"y\"},h(l.yaxis,l.graphDiv._fullLayout),l.yaxis.setScale(),l.yaxis.isPtWithinRange=function(){return!0};var 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w=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+w+\"v3h-\"+(w+5.2)+\"l\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l2.6,1.5l-\"+w/2+\",\"+.87*w+\"Z\",k=\"m0.87,.5h-\"+w+\"v3h\"+(w+5.2)+\"l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-2.6,1.5l\"+w/2+\",\"+.87*w+\"Z\",A=\"m0,1l\"+w/2+\",\"+.87*w+\"l2.6,-1.5l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-\"+(w/2+2.6)+\",\"+(.87*w+4.5)+\"l2.6,1.5l\"+w/2+\",-\"+.87*w+\"Z\",T=!0;x.initInteractions=function(){function t(t,e,r){var n=F.getBoundingClientRect();w=e-n.left,S=r-n.top,E={a:R.aaxis.range[0],b:R.baxis.range[1],c:R.caxis.range[1]},C=E,L=R.aaxis.range[1]-E.a,I=o(R.graphDiv._fullLayout[R.id].bgcolor).getLuminance(),z=\"M0,\"+R.h+\"L\"+R.w/2+\", 0L\"+R.w+\",\"+R.h+\"Z\",D=!1,P=N.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+R.x0+\", \"+R.y0+\")\").style({fill:I>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",z),O=N.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+R.x0+\", 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s=\"translate(\"+-t+\",\"+-e+\")\";if(R.clipDefRelative.select(\"path\").attr(\"transform\",s),R.aaxis.range=[C.a,R.sum-C.b-C.c],R.baxis.range=[R.sum-C.a-C.c,C.b],R.caxis.range=[R.sum-C.a-C.b,C.c],R.drawAxes(!1),R.plotContainer.selectAll(\".crisp\").classed(\"crisp\",!1),R._hasClipOnAxisFalse){var l=R.plotContainer.select(\".scatterlayer\").selectAll(\".points\");l.selectAll(\".point\").call(c.hideOutsideRangePoints,R),l.selectAll(\".textpoint\").call(c.hideOutsideRangePoints,R)}}function p(t,e){if(t){var r={};r[R.id+\".aaxis.min\"]=C.a,r[R.id+\".baxis.min\"]=C.b,r[R.id+\".caxis.min\"]=C.c,s.relayout(j,r)}else 2===e&&x()}function v(){N.selectAll(\".select-outline\").remove()}function x(){var t={};t[R.id+\".aaxis.min\"]=0,t[R.id+\".baxis.min\"]=0,t[R.id+\".caxis.min\"]=0,j.emit(\"plotly_doubleclick\",null),s.relayout(j,t)}var 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i=n.traces[e];i&&d(r.modules[e]._module.attributes,i)}}function a(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&d(r.transformsRegistry[e].attributes,i)}}function o(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&&d(a,s)}}function s(t){return\"object\"==typeof t&&(t=t.type),t}var l=t(\"./lib/loggers\"),u=t(\"./lib/noop\"),c=t(\"./lib/push_unique\"),h=t(\"./lib/extend\"),f=h.extendFlat,d=h.extendDeepAll,p=t(\"./plots/attributes\"),m=t(\"./plots/layout_attributes\");r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.register=function(t,e,n,a){if(r.modules[e])return void l.log(\"Type \"+e+\" already registered\");for(var 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val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // pick coloring\\n    fragColor = vec4(pf.rgb, 1.0);\\n}\\n\":\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\n\\nuniform vec2 colorClamp;\\n\\nuniform float scatter;\\n\\nvarying vec4 fragColor;\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit, unit);\\n}\\n\\nvoid main() {\\n\\n    float x = 0.5 * sign(pf[3]) + 0.5;\\n    float prominence = abs(pf[3]);\\n    float depth = 1.0 - prominence;\\n\\n    mat4 pA = mat4(p0, p1, p2, p3);\\n    mat4 pB = mat4(p4, p5, p6, p7);\\n    mat4 pC = mat4(p8, p9, pa, pb);\\n    mat4 pD = mat4(pc, pd, pe, abs(pf));\\n\\n    float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:R,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),j=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":1001,regl:499}],1005:[function(t,e,r){\"use strict\";function n(t){return!(\"visible\"in t)||t.visible}function i(t){var e=t.range?t.range[0]:b.min(t.values),r=t.range?t.range[1]:b.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function a(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function o(t,e){return function(r,n){if(e){var i=e[n];return null===i||void 0===i?t(r):i}return t(r)}}function s(t,e,r){var n=i(r),a=r.ticktext;return r.tickvals?b.scale.ordinal().domain(r.tickvals.map(o(b.format(r.tickformat),a))).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):b.scale.linear().domain(n).range([t-e,e])}function l(t,e){return b.scale.linear().range([t-e,e])}function u(t){return b.scale.linear().domain(i(t))}function c(t){var e=i(t);return t.tickvals&&b.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function h(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return b.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return b.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function f(t,e,r){var i=M(e),a=i.trace,o=i.lineColor,s=i.cscale,l=a.line,c=a.domain,f=a.dimensions,d=t.width,p=a.labelfont,m=a.tickfont,g=a.rangefont,b=y.extendDeep({},l,{color:o.map(u({values:o,range:[l.cmin,l.cmax]})),blockLineCount:v.blockLineCount,canvasOverdrag:v.overdrag*v.canvasPixelRatio}),x=Math.floor(d*(c.x[1]-c.x[0])),_=Math.floor(t.height*(c.y[1]-c.y[0])),w=t.margin||{l:80,r:80,t:100,b:80},k=x,A=_;return{key:r,colCount:f.filter(n).length,dimensions:f,tickDistance:v.tickDistance,unitToColor:h(s),lines:b,labelFont:p,tickFont:m,rangeFont:g,translateX:c.x[0]*d,translateY:t.height-c.y[1]*t.height,pad:w,canvasWidth:k*v.canvasPixelRatio+2*b.canvasOverdrag,canvasHeight:A*v.canvasPixelRatio,width:k,height:A,canvasPixelRatio:v.canvasPixelRatio}}function d(t){var e=t.width,r=t.height,i=t.dimensions,a=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},h=v.verticalPadding/(r*a),f=1-2*h,d=function(t){return h+f*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=i.filter(n).map(function(e,n){var i=u(e),h=m[e.label];return m[e.label]=(h||0)+1,{key:e.label+(h?\"__\"+h:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:v.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(i).map(d),xScale:o,x:o(n),canvasX:o(n)*a,unitScale:l(r,v.verticalPadding),domainScale:s(r,v.verticalPadding,e),ordinalScale:c(e),domainToUnitScale:i,filter:e.constraintrange?e.constraintrange.map(i):[0,1],parent:p,model:t}}),p}function p(t){return v.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function m(t){t.classed(v.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var g=t(\"./lines\"),v=t(\"./constants\"),y=t(\"../../lib\"),b=t(\"d3\"),x=t(\"../../components/drawing\"),_=t(\"../../lib/gup\").keyFun,w=t(\"../../lib/gup\").repeat,M=t(\"../../lib/gup\").unwrap;e.exports=function(t,e,r,n,i){function o(t){var e=t.selectAll(\"defs\").data(w,_);e.enter().append(\"defs\");var r=e.selectAll(\"#\"+v.id.filterBarPattern).data(w,_);r.enter().append(\"pattern\").attr(\"id\",v.id.filterBarPattern).attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-v.bar.width).attr(\"width\",v.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var n=r.selectAll(\"rect\").data(w,_);n.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),n.attr(\"height\",function(t){return t.model.height}).attr(\"width\",v.bar.width).attr(\"x\",v.bar.width/2).attr(\"fill\",v.bar.fillcolor).attr(\"fill-opacity\",v.bar.fillopacity).attr(\"stroke\",v.bar.strokecolor).attr(\"stroke-opacity\",v.bar.strokeopacity).attr(\"stroke-width\",v.bar.strokewidth)}function s(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function l(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function u(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function c(t,e){return(v.scatter?u:l)(t,e)}function h(t){return t.ordinal?function(){return\"\"}:b.format(t.tickFormat)}function y(){W=!0,T=!0}function k(t){S=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=W&&r[0]===r[1];a&&(t.brush.clear(),b.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var l=s(e);!X&&l?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),X=!0):X&&!l&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),X=!1)}W=!1}function A(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],o=e.dimensions,s=o[t.xIndex].filter;if(!n&&t.ordinal&&(s[0]=a(t.ordinalScale,s[0]),s[1]=a(t.ordinalScale,s[1]),s[0]===s[1]&&(s[0]=Math.max(0,s[0]-.05),s[1]=Math.min(1,s[1]+.05)),b.select(this).transition().duration(150).call(t.brush.extent(s)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,T=\"ending\",i&&i.filterChanged){var l=t.domainToUnitScale.invert,u=s.map(l);i.filterChanged(e.key,t.visibleIndex,u)}}var T=!1,S=!0,E=r.filter(function(t){return M(t).trace.visible}).map(f.bind(0,n)).map(d);t.selectAll(\".\"+v.cn.parcoordsLineLayers).remove();var L=t.selectAll(\".\"+v.cn.parcoordsLineLayers).data(E,_);L.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(v.cn.parcoordsLineLayers,!0).style(\"box-sizing\",\"content-box\"),L.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-v.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var C=L.selectAll(\".\"+v.cn.parcoordsLineLayer).data(p,_),I={renderers:[],dimensions:[]},z=null;C.enter().append(\"canvas\").attr(\"class\",function(t){return v.cn.parcoordsLineLayer+\" \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",\"absolute\").filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(S&&t.lineLayer&&i&&i.hover){var e=b.event,r=this.width,n=this.height,a=b.mouse(this),o=a[0],s=a[1];if(o<0||s<0||o>=r||s>=n)return;var l=t.lineLayer.readPixel(o,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:o,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?i.hover(h):i.unhover&&i.unhover(h),z=c)}}),C.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth\n",
       "}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*v.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".\"+v.cn.parcoords).data(E,_);D.exit().remove(),D.enter().append(\"g\").classed(v.cn.parcoords,!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\",\"none\").call(o),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var P=D.selectAll(\".\"+v.cn.parcoordsControlView).data(w,_);P.enter().append(\"g\").classed(v.cn.parcoordsControlView,!0).style(\"box-sizing\",\"content-box\"),P.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var O=P.selectAll(\".\"+v.cn.yAxis).data(function(t){return t.dimensions},_);O.enter().append(\"g\").classed(v.cn.yAxis,!0).each(function(t){I.dimensions.push(t)}),P.each(function(t){c(O,t)}),C.each(function(t){t.lineLayer=g(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,v.scatter),t.viewModel[t.key]=t.lineLayer,I.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),O.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),O.call(b.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;S=!1,T||(t.x=Math.max(-v.overdrag,Math.min(t.model.width+v.overdrag,b.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,O.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}),c(O,e),O.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),b.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),O.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!s(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(T)return void(\"ending\"===T&&(T=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,c(O,e),b.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!s(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,i&&i.axesMoved&&i.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),O.exit().remove();var R=O.selectAll(\".\"+v.cn.axisOverlays).data(w,_);R.enter().append(\"g\").classed(v.cn.axisOverlays,!0),R.selectAll(\".\"+v.cn.axis).remove();var F=R.selectAll(\".\"+v.cn.axis).data(w,_);F.enter().append(\"g\").classed(v.cn.axis,!0),F.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain();b.select(this).call(b.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n:null).tickFormat(t.ordinal?function(t){return t}:null).scale(r)),x.font(F.selectAll(\"text\"),t.model.tickFont)}),F.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),F.selectAll(\"text\").style(\"text-shadow\",\"1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff\").style(\"cursor\",\"default\").style(\"user-select\",\"none\");var j=R.selectAll(\".\"+v.cn.axisHeading).data(w,_);j.enter().append(\"g\").classed(v.cn.axisHeading,!0);var N=j.selectAll(\".\"+v.cn.axisTitle).data(w,_);N.enter().append(\"text\").classed(v.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"user-select\",\"none\").style(\"pointer-events\",\"auto\"),N.attr(\"transform\",\"translate(0,\"+-v.axisTitleOffset+\")\").text(function(t){return t.label}).each(function(t){x.font(N,t.model.labelFont)});var B=R.selectAll(\".\"+v.cn.axisExtent).data(w,_);B.enter().append(\"g\").classed(v.cn.axisExtent,!0);var 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l=i(e,u),f=w+e.pxmid[0]*(1-l),d=M+e.pxmid[1]*(1-l),p=r.separators,v=[];-1!==s.indexOf(\"label\")&&v.push(e.label),-1!==s.indexOf(\"text\")&&(o.hovertext?v.push(Array.isArray(o.hovertext)?o.hovertext[e.i]:o.hovertext):o.text&&o.text[e.i]&&v.push(o.text[e.i])),-1!==s.indexOf(\"value\")&&v.push(m.formatPieValue(e.v,p)),-1!==s.indexOf(\"percent\")&&v.push(m.formatPiePercent(e.v/u.vTotal,p)),h.loneHover({x0:f-l*u.r,x1:f+l*u.r,y:d,text:v.join(\"<br>\"),name:-1!==s.indexOf(\"name\")?o.name:void 0,idealAlign:e.pxmid[0]<0?\"left\":\"right\",color:h.castHoverOption(g,e.i,\"bgcolor\")||e.color,borderColor:h.castHoverOption(g,e.i,\"bordercolor\"),fontFamily:h.castHoverOption(g,e.i,\"font.family\"),fontSize:h.castHoverOption(g,e.i,\"font.size\"),fontColor:h.castHoverOption(g,e.i,\"font.color\")},{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:t}),h.hover(t,n,\"pie\"),T=!0}function 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L=\"M\"+(w+e.px0[0])+\",\"+(M+e.px0[1])+b(e.px0,e.pxmid,!0,1)+b(e.pxmid,e.px0,!0,1)+\"Z\";E?A.attr(\"d\",\"M\"+(w+E*e.px0[0])+\",\"+(M+E*e.px0[1])+b(e.px0,e.pxmid,!1,E)+b(e.pxmid,e.px0,!1,E)+\"Z\"+L):A.attr(\"d\",L)}else{var C=b(e.px0,e.px1,!0,1);if(E){var I=1-E;A.attr(\"d\",\"M\"+(w+E*e.px1[0])+\",\"+(M+E*e.px1[1])+b(e.px1,e.px0,!1,E)+\"l\"+I*e.px0[0]+\",\"+I*e.px0[1]+C+\"Z\")}else A.attr(\"d\",\"M\"+w+\",\"+M+\"l\"+e.px0[0]+\",\"+e.px0[1]+C+\"Z\")}var z=Array.isArray(g.textposition)?g.textposition[e.i]:g.textposition,D=k.selectAll(\"g.slicetext\").data(e.text&&\"none\"!==z?[0]:[]);D.enter().append(\"g\").classed(\"slicetext\",!0),D.exit().remove(),D.each(function(){var r=c.select(this).selectAll(\"text\").data([0]);r.enter().append(\"text\").attr(\"data-notex\",1),r.exit().remove(),r.text(e.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(d.font,\"outside\"===z?g.outsidetextfont:g.insidetextfont).call(p.convertToTspans,t);var i,o=d.bBox(r.node());\"outside\"===z?i=a(o,e):(i=n(o,e,u),\"auto\"===z&&i.scale<1&&(r.call(d.font,g.outsidetextfont),g.outsidetextfont.family===g.insidetextfont.family&&g.outsidetextfont.size===g.insidetextfont.size||(o=d.bBox(r.node())),i=a(o,e)));var s=w+e.pxmid[0]*i.rCenter+(i.x||0),l=M+e.pxmid[1]*i.rCenter+(i.y||0);i.outside&&(e.yLabelMin=l-o.height/2,e.yLabelMid=l,e.yLabelMax=l+o.height/2,e.labelExtraX=0,e.labelExtraY=0,v=!0),r.attr(\"transform\",\"translate(\"+s+\",\"+l+\")\"+(i.scale<1?\"scale(\"+i.scale+\")\":\"\")+(i.rotate?\"rotate(\"+i.rotate+\")\":\"\")+\"translate(\"+-(o.left+o.right)/2+\",\"+-(o.top+o.bottom)/2+\")\")})}),v&&o(l,g),s.each(function(t){if(t.labelExtraX||t.labelExtraY){var e=c.select(this),r=e.select(\"g.slicetext text\");r.attr(\"transform\",\"translate(\"+t.labelExtraX+\",\"+t.labelExtraY+\")\"+r.attr(\"transform\"));var n=t.cxFinal+t.pxmid[0],i=t.cyFinal+t.pxmid[1],a=\"M\"+n+\",\"+i,o=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var s=t.labelExtraX*t.pxmid[1]/t.pxmid[0],l=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(s)>Math.abs(l)?a+=\"l\"+l*t.pxmid[0]/t.pxmid[1]+\",\"+l+\"H\"+(n+t.labelExtraX+o):a+=\"l\"+t.labelExtraX+\",\"+s+\"v\"+(l-s)+\"h\"+o}else a+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+o;e.append(\"path\").classed(\"textline\",!0).call(f.stroke,g.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,g.outsidetextfont.size/8),d:a,fill:\"none\"})}})})}),setTimeout(function(){u.selectAll(\"tspan\").each(function(){var t=c.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))})},0)}},{\"../../components/color\":604,\"../../components/drawing\":628,\"../../components/fx\":645,\"../../lib/svg_text_utils\":750,\"./helpers\":1011,d3:122}],1016:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"./style_one\");e.exports=function(t){t._fullLayout._pielayer.selectAll(\".trace\").each(function(t){var e=t[0],r=e.trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\".top 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n=t(\"../scattergl/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\"}}},{\"../scattergl/attributes\":1077}],1019:[function(t,e,r){\"use strict\";function n(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=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.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}},u.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=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.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(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new Int32Array(e),s=0;s<e;s++)i=l[s],a=u[s],r[s]=s,n[2*s]=i,n[2*s+1]=a,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var p=o(t.marker.color),m=o(t.marker.border.color),g=t.opacity*t.marker.opacity;p[3]*=g,this.pointcloudOptions.color=p;var v=t.marker.blend;if(null===v){v=l.length<100||u.length<100}this.pointcloudOptions.blend=v,m[3]*=g,this.pointcloudOptions.borderColor=m;var y=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=y,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions),this.expandAxesFast(d,b/2)},u.expandAxesFast=function(t,e){for(var r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":749,\"../scatter/get_trace_color\":1040,\"gl-pointcloud2d\":230}],1020:[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\")}},{\"../../lib\":728,\"./attributes\":1018}],1021:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter3d/calc\":1056,\"./attributes\":1018,\"./convert\":1019,\"./defaults\":1020}],1022:[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(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;e.exports=l({hoverinfo:s({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hoverlabel:o.hoverlabel,domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),node:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},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}},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},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:[]}}},\"calc\",\"nested\")},{\"../../components/color/attributes\":603,\"../../components/fx/attributes\":637,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/font_attributes\":796}],1023:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plots/plots\"),a=t(\"./plot\"),o=t(\"../../components/fx/layout_attributes\");r.name=\"sankey\",r.attr=\"type\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=i.getSubplotCalcData(t.calcdata,\"sankey\",\"sankey\");e.length&&a(t,e)},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()}},{\"../../components/fx/layout_attributes\":646,\"../../plot_api/edit_types\":756,\"../../plots/plots\":831,\"./plot\":1028}],1024:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=t.map(function(){return[]}),a=0;a<Math.min(e.length,r.length);a++){if(e[a]===r[a])return!0;n[e[a]].push(r[a])}return i(n).components.some(function(t){return t.length>1})}var i=t(\"strongly-connected-components\"),a=t(\"../../lib\"),o=t(\"../../lib/gup\").wrap;e.exports=function(t,e){return n(e.node.label,e.link.source,e.link.target)&&(a.error(\"Circularity is present in the Sankey data. Removing all nodes and links.\"),e.link.label=[],e.link.source=[],e.link.target=[],e.link.value=[],e.link.color=[],e.node.label=[],e.node.color=[]),o({link:e.link,node:e.node})}},{\"../../lib\":728,\"../../lib/gup\":725,\"strongly-connected-components\":528}],1025:[function(t,e,r){\"use strict\";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"cubic-in-out\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeCapture:\"node-capture\",nodeCentered:\"node-entered\",nodeLabelGuide:\"node-label-guide\",nodeLabel:\"node-label\",nodeLabelTextPath:\"node-label-text-path\"}}},{}],1026:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color/attributes\").defaults,o=t(\"../../components/color\"),s=t(\"tinycolor2\");e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,i,r,a)}u(\"node.label\"),u(\"node.pad\"),u(\"node.thickness\"),u(\"node.line.color\"),u(\"node.line.width\");var c=function(t){return a[t%a.length]};u(\"node.color\",e.node.label.map(function(t,e){return o.addOpacity(c(e),.8)})),u(\"link.label\"),u(\"link.source\"),u(\"link.target\"),u(\"link.value\"),u(\"link.line.color\"),u(\"link.line.width\"),u(\"link.color\",e.link.value.map(function(){return s(l.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\"})),u(\"domain.x\"),u(\"domain.y\"),u(\"orientation\"),u(\"valueformat\"),u(\"valuesuffix\"),u(\"arrangement\"),n.coerceFont(u,\"textfont\",n.extendFlat({},l.font));var h=function(t,r){\n",
       "return-1===e.link.source.indexOf(r)&&-1===e.link.target.indexOf(r)};e.node.label.some(h)&&n.warn(\"Some of the nodes are neither sources nor targets, they will not be displayed.\")}},{\"../../components/color\":604,\"../../components/color/attributes\":603,\"../../lib\":728,\"./attributes\":1022,tinycolor2:534}],1027:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.moduleType=\"trace\",n.name=\"sankey\",n.basePlotModule=t(\"./base_plot\"),n.categories=[\"noOpacity\"],n.meta={},e.exports=n},{\"./attributes\":1022,\"./base_plot\":1023,\"./calc\":1024,\"./defaults\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";function n(t){return\"\"!==t}function i(t,e){return t.filter(function(t){return t.key===e.traceId})}function a(t,e){p.select(t).select(\"path\").style(\"fill-opacity\",e),p.select(t).select(\"rect\").style(\"fill-opacity\",e)}function o(t){p.select(t).select(\"text.name\").style(\"fill\",\"black\")}function s(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function l(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function u(t,e,r){e&&r&&i(r,e).selectAll(\".\"+b.sankeyLink).filter(s(e)).call(h.bind(0,e,r,!1))}function c(t,e,r){e&&r&&i(r,e).selectAll(\".\"+b.sankeyLink).filter(s(e)).call(f.bind(0,e,r,!1))}function h(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",.4),a&&i(e,t).selectAll(\".\"+b.sankeyLink).filter(function(t){return t.link.label===a}).style(\"fill-opacity\",.4),r&&i(e,t).selectAll(\".\"+b.sankeyNode).filter(l(t)).call(u)}function f(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),a&&i(e,t).selectAll(\".\"+b.sankeyLink).filter(function(t){return t.link.label===a}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),r&&i(e,t).selectAll(b.sankeyNode).filter(l(t)).call(c)}function d(t,e){var r=t.hoverlabel||{},n=y.nestedProperty(r,e).get();return!Array.isArray(n)&&n}var p=t(\"d3\"),m=t(\"./render\"),g=t(\"../../components/fx\"),v=t(\"../../components/color\"),y=t(\"../../lib\"),b=t(\"./constants\").cn;e.exports=function(t,e){var r=t._fullLayout,i=r._paper,s=r._size,l=function(e,r){var n=r.link;n.originalEvent=p.event,t._hoverdata=[n],g.click(t,{target:!0})},y=function(e,r,n){var i=r.link;i.originalEvent=p.event,p.select(e).call(h.bind(0,r,n,!0)),g.hover(t,i,\"sankey\")},x=function(e,i){var s=i.link.trace,l=t._fullLayout._paperdiv.node().getBoundingClientRect(),u=e.getBoundingClientRect(),c=u.left+u.width/2,h=u.top+u.height/2,f=g.loneHover({x:c-l.left,y:h-l.top,name:p.format(i.valueFormat)(i.link.value)+i.valueSuffix,text:[i.link.label||\"\",[\"Source:\",i.link.source.label].join(\" \"),[\"Target:\",i.link.target.label].join(\" \")].filter(n).join(\"<br>\"),color:d(s,\"bgcolor\")||v.addOpacity(i.tinyColorHue,1),borderColor:d(s,\"bordercolor\"),fontFamily:d(s,\"font.family\"),fontSize:d(s,\"font.size\"),fontColor:d(s,\"font.color\"),idealAlign:p.event.x<c?\"right\":\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(f,.65),o(f)},_=function(e,n,i){p.select(e).call(f.bind(0,n,i,!0)),t.emit(\"plotly_unhover\",{event:p.event,points:[n.link]}),g.loneUnhover(r._hoverlayer.node())},w=function(e,r,n){var i=r.node;i.originalEvent=p.event,t._hoverdata=[i],p.select(e).call(c,r,n),g.click(t,{target:!0})},M=function(e,r,n){var i=r.node;i.originalEvent=p.event,p.select(e).call(u,r,n),g.hover(t,i,\"sankey\")},k=function(e,i){var s=i.node.trace,l=p.select(e).select(\".\"+b.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),c=l.node().getBoundingClientRect(),h=c.left-2-u.left,f=c.right+2-u.left,m=c.top+c.height/4-u.top,v=g.loneHover({x0:h,x1:f,y:m,name:p.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,[\"Incoming flow count:\",i.node.targetLinks.length].join(\" \"),[\"Outgoing flow count:\",i.node.sourceLinks.length].join(\" \")].filter(n).join(\"<br>\"),color:d(s,\"bgcolor\")||i.tinyColorHue,borderColor:d(s,\"bordercolor\"),fontFamily:d(s,\"font.family\"),fontSize:d(s,\"font.size\"),fontColor:d(s,\"font.color\"),idealAlign:\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(v,.85),o(v)},A=function(e,n,i){p.select(e).call(c,n,i),t.emit(\"plotly_unhover\",{event:p.event,points:[n.node]}),g.loneUnhover(r._hoverlayer.node())};m(i,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},{linkEvents:{hover:y,follow:x,unhover:_,select:l},nodeEvents:{hover:M,follow:k,unhover:A,select:w}})}},{\"../../components/color\":604,\"../../components/fx\":645,\"../../lib\":728,\"./constants\":1025,\"./render\":1029,d3:122}],1029:[function(t,e,r){\"use strict\";function n(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=t[e].x,t[e].originalY=t[e].y,-1===r.indexOf(t[e].x)&&r.push(t[e].x);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)}function i(t){t.lastDraggedX=t.x,t.lastDraggedY=t.y}function a(t){return function(e){return e.node.originalX===t.node.originalX}}function o(t){for(var e=0;e<t.length;e++)t[e].y=t[e].y+t[e].dy/2}function s(t){for(var e=0;e<t.length;e++)t[e].y=t[e].y-t[e].dy/2}function l(t,e,r){for(var 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o(w),{key:r,trace:i,guid:Math.floor(1e12*(1+Math.random())),horizontal:c,width:x,height:_,nodePad:h,nodeLineColor:d,nodeLineWidth:p,linkLineColor:m,linkLineWidth:g,valueFormat:v,valueSuffix:y,textFont:b,translateX:a.x[0]*x+t.margin.l,translateY:t.height-a.y[1]*t.height+t.margin.t,dragParallel:c?_:x,dragPerpendicular:c?x:_,nodes:w,links:M,arrangement:u,sankey:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function u(t,e,r){var n=I(r.color),i=r.source.label+\"|\"+r.target.label,a=t[i];t[i]=(a||0)+1;var o=i+\"__\"+t[i];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:o,traceId:e.key,link:r,tinyColorHue:z.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,interactionState:e.interactionState}}function c(t,e,r){var n=I(r.color),i=L.nodePadAcross,a=e.nodePad/2,o=r.dx,s=Math.max(.5,r.dy),l=r.label,u=t[l];t[l]=(u||0)+1;var c=l+\"__\"+t[l];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:c,traceId:e.key,node:r,nodePad:e.nodePad,nodeLineColor:e.nodeLineColor,nodeLineWidth:e.nodeLineWidth,textFont:e.textFont,size:e.horizontal?e.height:e.width,visibleWidth:Math.ceil(o),visibleHeight:s,zoneX:-i,zoneY:-a,zoneWidth:o+2*i,zoneHeight:s+2*a,labelY:e.horizontal?r.dy/2+1:r.dx/2+1,left:1===r.originalLayer,sizeAcross:e.width,forceLayouts:e.forceLayouts,horizontal:e.horizontal,darkBackground:n.getBrightness()<=128,tinyColorHue:z.tinyRGB(n),tinyColorAlpha:n.getAlpha(),valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,arrangement:e.arrangement,uniqueNodeLabelPathId:[e.guid,e.key,c].join(\" \"),interactionState:e.interactionState}}function h(t){t.attr(\"transform\",function(t){return\"translate(\"+t.node.x.toFixed(3)+\", \"+(t.node.y-t.node.dy/2).toFixed(3)+\")\"})}function f(t){var e=t.sankey.nodes();s(e);var r=t.sankey.link()(t.link);return o(e),r}function d(t){t.call(h)}function 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k(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",function(t){t.interactionState.dragInProgress||(r.hover(this,t,e),t.interactionState.hovered=[this,t])}).on(\"mousemove.basic\",function(t){t.interactionState.dragInProgress||(r.follow(this,t),t.interactionState.hovered=[this,t])}).on(\"mouseout.basic\",function(t){t.interactionState.dragInProgress||(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||r.select(this,t,e)})}function A(t,e,r){var n=C.behavior.drag().origin(function(t){return t.node}).on(\"dragstart\",function(n){if(\"fixed\"!==n.arrangement&&(R.raiseToTop(this),n.interactionState.dragInProgress=n.node,i(n.node),n.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,n.interactionState.hovered),n.interactionState.hovered=!1),\"snap\"===n.arrangement)){var a=n.traceId+\"|\"+Math.floor(n.node.originalX);n.forceLayouts[a]?n.forceLayouts[a].alpha(1):T(t,a,n),S(t,e,n,a)}}).on(\"drag\",function(r){if(\"fixed\"!==r.arrangement){var n=C.event.x,o=C.event.y;\"snap\"===r.arrangement?(r.node.x=n,r.node.y=o):(\"freeform\"===r.arrangement&&(r.node.x=n),r.node.y=Math.max(r.node.dy/2,Math.min(r.size-r.node.dy/2,o))),i(r.node),\"snap\"!==r.arrangement&&(r.sankey.relayout(),p(t.filter(a(r)),e))}}).on(\"dragend\",function(t){t.interactionState.dragInProgress=!1});t.on(\".drag\",null).call(n)}function T(t,e,r){var n=r.sankey.nodes().filter(function(t){return t.originalX===r.node.originalX});r.forceLayouts[e]=O.forceSimulation(n).alphaDecay(0).force(\"collide\",O.forceCollide().radius(function(t){return t.dy/2+r.nodePad/2}).strength(1).iterations(L.forceIterations)).force(\"constrain\",E(t,e,n,r)).stop()}function S(t,e,r,n){window.requestAnimationFrame(function i(){for(var o=0;o<L.forceTicksPerFrame;o++)r.forceLayouts[n].tick();r.sankey.relayout(),p(t.filter(a(r)),e),r.forceLayouts[n].alpha()>0&&window.requestAnimationFrame(i)})}function E(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)}}var L=t(\"./constants\"),C=t(\"d3\"),I=t(\"tinycolor2\"),z=t(\"../../components/color\"),D=t(\"../../components/drawing\"),P=t(\"@plotly/d3-sankey\").sankey,O=t(\"d3-force\"),R=t(\"../../lib\"),F=t(\"../../lib/gup\").keyFun,j=t(\"../../lib/gup\").repeat,N=t(\"../../lib/gup\").unwrap;e.exports=function(t,e,r,i){var a=t.selectAll(\".\"+L.cn.sankey).data(e.filter(function(t){return N(t).trace.visible}).map(l.bind(null,r)),F);a.exit().remove(),a.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\").style(\"box-sizing\",\"content-box\").attr(\"transform\",v),a.transition().ease(L.ease).duration(L.duration).attr(\"transform\",v);var o=a.selectAll(\".\"+L.cn.sankeyLinks).data(j,F);o.enter().append(\"g\").classed(L.cn.sankeyLinks,!0).style(\"fill\",\"none\");var s=o.selectAll(\".\"+L.cn.sankeyLink).data(function(t){var e={};return t.sankey.links().filter(function(t){return t.value}).map(u.bind(null,e,t))},F);s.enter().append(\"path\").classed(L.cn.sankeyLink,!0).attr(\"d\",f).call(k,a,i.linkEvents),s.style(\"stroke\",function(t){return g(t)?z.tinyRGB(I(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return g(t)?z.opacity(t.linkLineColor):t.tinyColorAlpha}).style(\"stroke-width\",function(t){return g(t)?t.linkLineWidth:1}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),s.transition().ease(L.ease).duration(L.duration).attr(\"d\",f),s.exit().transition().ease(L.ease).duration(L.duration).style(\"opacity\",0).remove();var d=a.selectAll(\".\"+L.cn.sankeyNodeSet).data(j,F);d.enter().append(\"g\").classed(L.cn.sankeyNodeSet,!0),d.style(\"cursor\",function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}});var p=d.selectAll(\".\"+L.cn.sankeyNode).data(function(t){var e=t.sankey.nodes(),r={};return n(e),e.filter(function(t){return t.value}).map(c.bind(null,r,t))},F);p.enter().append(\"g\").classed(L.cn.sankeyNode,!0).call(h).call(k,a,i.nodeEvents),p.call(A,s,i),p.transition().ease(L.ease).duration(L.duration).call(h),p.exit().transition().ease(L.ease).duration(L.duration).style(\"opacity\",0).remove();var T=p.selectAll(\".\"+L.cn.nodeRect).data(j);T.enter().append(\"rect\").classed(L.cn.nodeRect,!0).call(m),T.style(\"stroke-width\",function(t){return t.nodeLineWidth}).style(\"stroke\",function(t){return z.tinyRGB(I(t.nodeLineColor))}).style(\"stroke-opacity\",function(t){return z.opacity(t.nodeLineColor)}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),T.transition().ease(L.ease).duration(L.duration).call(m);var S=p.selectAll(\".\"+L.cn.nodeCapture).data(j);S.enter().append(\"rect\").classed(L.cn.nodeCapture,!0).style(\"fill-opacity\",0),S.attr(\"x\",function(t){return t.zoneX}).attr(\"y\",function(t){return t.zoneY}).attr(\"width\",function(t){return t.zoneWidth}).attr(\"height\",function(t){return t.zoneHeight});var E=p.selectAll(\".\"+L.cn.nodeCentered).data(j);E.enter().append(\"g\").classed(L.cn.nodeCentered,!0).attr(\"transform\",y),E.transition().ease(L.ease).duration(L.duration).attr(\"transform\",y);var C=E.selectAll(\".\"+L.cn.nodeLabelGuide).data(j);C.enter().append(\"path\").classed(L.cn.nodeLabelGuide,!0).attr(\"id\",function(t){return t.uniqueNodeLabelPathId}).attr(\"d\",b).attr(\"transform\",x),C.transition().ease(L.ease).duration(L.duration).attr(\"d\",b).attr(\"transform\",x);var P=E.selectAll(\".\"+L.cn.nodeLabel).data(j);P.enter().append(\"text\").classed(L.cn.nodeLabel,!0).attr(\"transform\",_).style(\"user-select\",\"none\").style(\"cursor\",\"default\").style(\"fill\",\"black\"),P.style(\"text-shadow\",function(t){return t.horizontal?\"-1px 1px 1px #fff, 1px 1px 1px #fff, 1px -1px 1px #fff, -1px -1px 1px 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r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\"),n.mergeArray(e.customdata,t,\"data\"),n.mergeArray(e.textposition,t,\"tp\"),e.textfont&&(n.mergeArray(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.mergeArray(i.size,t,\"ms\"),n.mergeArray(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.mergeArray(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\":728}],1031:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../plots/font_attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../components/drawing\"),u=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",dflt:1,editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dy:{valType:\"number\",dflt:1,editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},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\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},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:u({},s,{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\"],dflt:\"none\",editType:\"calc\"},fillcolor:{valType:\"color\",editType:\"style\"},marker:u({symbol:{valType:\"enumerated\",values:l.symbolList,dflt:\"circle\",arrayOk:!0,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0,editType:\"style\"},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0,editType:\"calcIfAutorange\"},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\"},showscale:{valType:\"boolean\",dflt:!1,editType:\"calc\"},colorbar:a,line:u({width:{valType:\"number\",min:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},n(\"marker.line\")),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\"},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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u=t.opacity;if(t.marker&&t.marker.opacity&&(u*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:u,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(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),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.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(a):(this.textMarkers=p(a),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),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=m(n),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var f=i(l.position,l.delaunayColor,l.delaunayAxis);f.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(f):(f.gl=o,this.delaunayMesh=g(f),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)},A.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=f},{\"../../constants/gl3d_dashes\":704,\"../../constants/gl3d_markers\":705,\"../../lib\":728,\"../../lib/gl_format_color\":724,\"../../lib/str2rgbarray\":749,\"../scatter/make_bubble_size_func\":1047,\"./calc_errors\":1057,\"delaunay-triangulate\":123,\"gl-error3d\":161,\"gl-line3d\":172,\"gl-mesh3d\":205,\"gl-scatter3d\":251}],1059:[function(t,e,r){\"use strict\";function n(t,e,r,n){var a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");return i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),a<o.length&&(e.x=o.slice(0,a)),a<s.length&&(e.y=s.slice(0,a)),a<l.length&&(e.z=l.slice(0,a))),a}var i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../scatter/subtypes\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,i){function f(r,n){return a.coerce(t,e,h,r,n)}if(!n(t,e,f,i))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),o.hasLines(e)&&(f(\"connectgaps\"),l(t,e,r,i,f)),o.hasMarkers(e)&&s(t,e,r,i,f),o.hasText(e)&&u(t,e,i,f);var d=(e.line||{}).color,p=(e.marker||{}).color;f(\"surfaceaxis\")>=0&&f(\"surfacecolor\",d||p);for(var m=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var v=\"projection.\"+m[g];f(v+\".show\")&&(f(v+\".opacity\"),f(v+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../../registry\":846,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1055}],1060:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl3d_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl3d_markers\":705,\"../../plots/gl3d\":811,\"../scatter/colorbar\":1034,\"./attributes\":1055,\"./calc\":1056,\"./convert\":1058,\"./defaults\":1059}],1061:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({width:c.width,editType:\"calc\"},a(\"marker\".line)),gradient:l.gradient,editType:\"calc\"},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1062:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/colorscale_calc\"),s=t(\"../scatter/arrays_to_calcdata\"),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 u;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var c,h,f=e.a.length,d=new Array(f),p=!1;for(u=0;u<f;u++)if(c=e.a[u],h=e.b[u],n(c)&&n(h)){var m=r.ab2xy(+c,+h,!0),g=r.isVisible(+c,+h);g||(p=!0),d[u]={x:m[0],y:m[1],a:c,b:h,vis:g}}else d[u]={x:!1,y:!1};e._needsCull=p,d[0].carpet=r,d[0].trace=e;var v,y;if(a.hasMarkers(e)&&(v=e.marker,y=v.size,Array.isArray(y))){var b={type:\"linear\"};i.setConvert(b),y=b.makeCalcdata(e.marker,\"size\"),y.length>f&&y.splice(f,y.length-f)}return o(e),s(d,e),d}}},{\"../../plots/cartesian/axes\":772,\"../carpet/lookup_carpetid\":903,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131}],1063:[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\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),g=d(\"b\");if(!(p=Math.min(m.length,g.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),g&&p<g.length&&(e.b=g.slice(0,p)),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d,{gradient:!0}),a.hasText(e)&&u(t,e,f,d);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),v.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),d(\"hoveron\",v.join(\"+\")||\"points\")}},{\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/line_shape_defaults\":1045,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1061}],1064:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,v.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=f.hi||d.hoverinfo,g=m.split(\"+\"),v=[];-1!==g.indexOf(\"all\")&&(g=[\"a\",\"b\"]),-1!==g.indexOf(\"a\")&&a(p.aaxis,f.a),-1!==g.indexOf(\"b\")&&a(p.baxis,f.b);var y=p.ab2ij([f.a,f.b]),b=Math.floor(y[0]),x=y[0]-b,_=Math.floor(y[1]),w=y[1]-_,M=p.evalxy([],b,_,x,w);return v.push(\"y: \"+M[1].toFixed(3)),s.extraText=v.join(\"<br>\"),o}}},{\"../scatter/hover\":1041}],1065:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":782,\"../scatter/colorbar\":1034,\"./attributes\":1061,\"./calc\":1062,\"./defaults\":1063,\"./hover\":1064,\"./plot\":1066,\"./select\":1067,\"./style\":1068}],1066:[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){var o,s,l,u=r[0][0].carpet,c={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,c,r),o=0;o<r.length;o++)s=r[o][0].trace,l=c.plot.selectAll(\"g.trace\"+s.uid+\" .js-line\"),a.setClipUrl(l,u._clipPathId)}},{\"../../components/drawing\":628,\"../../plots/cartesian/axes\":772,\"../scatter/plot\":1049}],1067:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":1050}],1068:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":1051}],1069:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.marker,c=n.line,h=u.line;e.exports=l({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:c.color,width:c.width,dash:o},connectgaps:n.connectgaps,marker:s({symbol:u.symbol,opacity:u.opacity,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,showscale:u.showscale,colorbar:u.colorbar,line:s({width:h.width},a(\"marker.line\")),gradient:u.gradient},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1070:[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\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":707,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"fast-isnumeric\":131}],1071:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f,{gradient:!0}),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f)}},{\"../../lib\":728,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1069}],1072:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null,t}},{}],1073:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=e.hi||t.hoverinfo,o=\"all\"===i?u.hoverinfo.flags:i.split(\"+\"),s=-1!==o.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==o.indexOf(\"lon\"),h=-1!==o.indexOf(\"lat\"),f=-1!==o.indexOf(\"text\"),d=[];return s?d.push(e.loc):c&&h?d.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):c?d.push(\"lon: \"+n(e.lonlat[0])):h&&d.push(\"lat: \"+n(e.lonlat[1])),f&&l(e,t,d),d.join(\"<br>\")}var i=t(\"../../components/fx\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"../scatter/fill_hover_text\"),u=t(\"./attributes\");e.exports=function(t,e,r){function a(t){var n=t.lonlat;if(n[0]===o)return 1/0;if(d(n))return 1/0;var i=p(n),a=p([e,r]),s=Math.abs(i[0]-a[0]),l=Math.abs(i[1]-a[1]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-u,1-3/u)}var l=t.cd,u=l[0].trace,c=t.xa,h=t.ya,f=t.subplot,d=f.projection.isLonLatOverEdges,p=f.project;if(i.getClosest(l,a,t),!1!==t.index){var m=l[t.index],g=m.lonlat,v=[c.c2p(g),h.c2p(g)],y=m.mrc||1;return 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],t.color=s(u,m),t.extraText=n(u,m,f.mockAxis),[t]}}},{\"../../components/fx\":645,\"../../constants/numerical\":707,\"../../plots/cartesian/axes\":772,\"../scatter/fill_hover_text\":1038,\"../scatter/get_trace_color\":1040,\"./attributes\":1069}],1074:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),\n",
       "n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/geo\":800,\"../scatter/colorbar\":1034,\"./attributes\":1069,\"./calc\":1070,\"./defaults\":1071,\"./event_data\":1072,\"./hover\":1073,\"./plot\":1075,\"./select\":1076}],1075:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.layers.frontplot.selectAll(\".trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(e){var r=e[0].trace,n=a.select(this);n.selectAll(\"path.point\").call(o.pointStyle,r,t.graphDiv),n.selectAll(\"text\").call(o.textPointStyle,r,t.graphDiv)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\");e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.layers.frontplot.select(\".scatterlayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace scattergeo\"),c.exit().remove(),c.selectAll(\"*\").remove(),c.each(function(t){var e=t[0].node3=a.select(this),r=t[0].trace;if(d.hasLines(r)||\"none\"!==r.fill){var n=f.calcTraceToLineCoords(t),i=\"none\"!==r.fill?f.makePolygon(n):f.makeLine(n);e.selectAll(\"path.js-line\").data([{geojson:i,trace:r}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}d.hasMarkers(r)&&e.selectAll(\"path.point\").data(l.identity).enter().append(\"path\").classed(\"point\",!0).each(function(t){o(t,this)}),d.hasText(r)&&e.selectAll(\"g\").data(l.identity).enter().append(\"g\").append(\"text\").each(function(t){o(t,this)})}),i(t)}},{\"../../components/color\":604,\"../../components/drawing\":628,\"../../constants/numerical\":707,\"../../lib\":728,\"../../lib/geo_location_utils\":720,\"../../lib/geojson_utils\":721,\"../../lib/topojson_utils\":753,\"../scatter/subtypes\":1052,d3:122}],1076:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports=function(t,e){var r,a,o,s,l,u=t.cd,c=t.xaxis,h=t.yaxis,f=[],d=u[0].trace,p=u[0].node3;if(!n.hasMarkers(d)&&!n.hasText(d))return[];var m=d.marker,g=Array.isArray(m.opacity)?1:m.opacity;if(!1===e)for(l=0;l<u.length;l++)u[l].dim=0;else for(l=0;l<u.length;l++)r=u[l],a=r.lonlat,o=c.c2p(a),s=h.c2p(a),e.contains([o,s])?(f.push({pointNumber:l,lon:a[0],lat:a[1]}),r.dim=0):r.dim=1;return p.selectAll(\"path.point\").style(\"opacity\",function(t){return((t.mo+1||g+1)-1)*(t.dim?i:1)}),p.selectAll(\"text\").style(\"opacity\",function(t){return t.dim?i:1}),f}},{\"../../constants/interactions\":706,\"../scatter/subtypes\":1052}],1077:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl2d_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.line,c=n.marker,h=c.line,f=e.exports=l({x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:s({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:s({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\"},{\"../../components/colorscale/color_attributes\":611,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../scatter/attributes\":1031}],1078:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../scatter/arrays_to_calcdata\"),a=t(\"../scatter/colorscale_calc\");e.exports=function(t,e){var r,o=t._fullLayout.dragmode;if(\"lasso\"===o||\"select\"===o){var s,l=n.getFromId(t,e.xaxis||\"x\"),u=n.getFromId(t,e.yaxis||\"y\"),c=l.makeCalcdata(e,\"x\"),h=u.makeCalcdata(e,\"y\"),f=Math.min(c.length,h.length);for(r=new Array(f),s=0;s<f;s++)r[s]={x:c[s],y:h[s]}}else r=[{x:!1,y:!1,trace:e,t:{}}],i(r,e);return a(e),r}},{\"../../plots/cartesian/axes\":772,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035}],1079:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 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Array.isArray(e)||(e=[e]),a(t,e,r)}function a(t,e,r){for(var n=new Array(r),i=e[0],a=0;a<r;++a)n[a]=t(a>=e.length?i:e[a]);return n}function o(t,e,r){return l(O(t,r),P(e,r),r)}function s(t,e,r,n){var i=k(t,e,n);return i=Array.isArray(i[0])?i:a(y.identity,[i],n),l(i,P(r,n),n)}function l(t,e,r){for(var n=new Array(4*r),i=0;i<r;++i){for(var a=0;a<3;++a)n[4*i+a]=t[i][a];n[4*i+3]=t[i][3]*e[i]}return n}function u(t){return\"\"===t.split(\"-open\")[1]}function c(t,e,r,n,i){var a,o=i?C:1;for(a=0;a<3;a++)t[4*r+a]=e[4*n+a];t[4*r+a]=o*e[4*n+a]}function h(t){for(var e,r=t.length,n=Math.max(1,(r-1)/Math.min(Math.max(r,1),1e3)),i=0;i<r;i+=n)if(e=t[Math.floor(i)],!(v(e)||e instanceof Date))return!1;return!0}function f(t,e,r){var i=new n(t,e.uid);return i.update(e,r),i}var d=t(\"gl-scatter2d\"),p=t(\"gl-scatter2d-sdf\"),m=t(\"gl-line2d\"),g=t(\"gl-error2d\"),v=t(\"fast-isnumeric\"),y=t(\"../../lib\"),b=t(\"../../plots/cartesian/axes\"),x=t(\"../../plots/cartesian/axis_autotype\"),_=t(\"../../components/errorbars\"),w=t(\"../../lib/str2rgbarray\"),M=t(\"../../lib/typed_array_truncate\"),k=t(\"../../lib/gl_format_color\"),A=t(\"../scatter/subtypes\"),T=t(\"../scatter/make_bubble_size_func\"),S=t(\"../scatter/get_trace_color\"),E=t(\"../../constants/gl2d_markers\"),L=t(\"../../constants/gl2d_dashes\"),C=t(\"../../constants/interactions\").DESELECTDIM,I=[\"xaxis\",\"yaxis\"],z=[0,0,0,0],D=n.prototype;D.initObject=function(t,e,r){function n(){u||(u=t(s,e),u._trace=o,u._index=r),u.update(e)}function i(){u&&u.update(l)}function a(){u&&u.dispose()}var o=this,s=o.scene.glplot,l=y.extendFlat({},e),u=null;return{options:e,update:n,clear:i,dispose:a}},D.handlePick=function(t){var e=t.pointId;(t.object!==this.line||this.connectgaps)&&(e=this.idToIndex[t.pointId]);var r=this.pickXData[e];return{trace:this,dataCoord:t.dataCoord,traceCoord:[v(r)||!y.isDateTime(r)?r:y.dateTime2ms(r),this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},D.isFancy=function(t){if(\"linear\"!==this.scene.xaxis.type&&\"date\"!==this.scene.xaxis.type)return!0;if(\"linear\"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;if(this.hasMarkers){var e=t.marker||{};if(Array.isArray(e.symbol)||\"circle\"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.color)||Array.isArray(e.line.width)||Array.isArray(e.line.color)||Array.isArray(e.opacity))return!0}return!(!this.hasLines||this.connectgaps)||(!!this.hasErrorX||!!this.hasErrorY)};var P=i.bind(null,function(t){return+t}),O=i.bind(null,w),R=i.bind(null,function(t){return E[t]?t:\"circle\"});D.update=function(t,e){!0!==t.visible?(this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1):(this.isVisible=!0,this.hasLines=A.hasLines(t),this.hasErrorX=!0===t.error_x.visible,this.hasErrorY=!0===t.error_y.visible,this.hasMarkers=A.hasMarkers(t)),this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.connectgaps=!!t.connectgaps,this.isVisible?this.isFancy(t)?this.updateFancy(t):this.updateFast(t):(this.line.clear(),this.errorX.clear(),this.errorY.clear(),this.scatter.clear(),this.fancyScatter.clear()),this.scene.glplot.objects.sort(function(t,e){return t._index-e._index}),this.index=t.index,this.color=S(t,{}),e&&e[0]&&!e[0]._glTrace&&(e[0]._glTrace=this)},D.updateFast=function(t){var e,r,n,i,a,o=this.xData=this.pickXData=t.x,s=this.yData=this.pickYData=t.y,l=o.length,u=new Array(l),c=new Float64Array(2*l),f=this.bounds,d=0,p=0,m=t.selection,g=t.xcalendar,b=h(o),_=!b&&\"date\"===x(o,g);if(b||_)for(e=0;e<l;++e)i=o[e],a=s[e],v(a)&&(b||(i=y.dateTime2ms(i,g)),c[p++]=i,c[p++]=a,u[d++]=e,f[0]=Math.min(f[0],i),f[1]=Math.min(f[1],a),f[2]=Math.max(f[2],i),f[3]=Math.max(f[3],a));if(c=M(c,p),this.idToIndex=u,m&&m.length)for(r=new Float64Array(2*m.length),e=0,n=m.length;e<n;e++)r[2*e+0]=m[e].x,r[2*e+1]=m[e].y;this.updateLines(t,c),this.updateError(\"X\",t),this.updateError(\"Y\",t);var k;if(this.hasMarkers){var A,T,S;r?(this.scatter.options.positions=null,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity*C,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update(),this.scatter.options.positions=c,this.selectScatter.options.positions=r,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.selectScatter.options.color=A,T[3]*=S,this.selectScatter.options.borderColor=T,k=t.marker.size,this.selectScatter.options.size=k,this.selectScatter.options.borderSize=t.marker.line.width,this.selectScatter.update()):(this.scatter.options.positions=c,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update())}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(f,k)},D.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=t.selection,l=this.pickXData=r.makeCalcdata(t,\"x\").slice(),h=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=l.slice(),this.yData=h.slice();var f,d,p,m,g,v,y,b=_.calcFromTrace(t,e.fullLayout),x=l.length,w=new Array(x),k=new Float64Array(2*x),A=new Float64Array(4*x),S=new Float64Array(4*x),L=0,C=0,I=0,D=0,O=\"log\"===r.type?r.d2l:function(t){return t},F=\"log\"===n.type?n.d2l:function(t){return t};for(f=0;f<x;++f)this.xData[f]=d=O(l[f]),this.yData[f]=p=F(h[f]),isNaN(d)||isNaN(p)||(w[L++]=f,k[C++]=d,k[C++]=p,m=A[I++]=d-b[f].xs||0,g=A[I++]=b[f].xh-d||0,A[I++]=0,A[I++]=0,S[D++]=0,S[D++]=0,v=S[D++]=p-b[f].ys||0,y=S[D++]=b[f].yh-p||0,a[0]=Math.min(a[0],d-m),a[1]=Math.min(a[1],p-v),a[2]=Math.max(a[2],d+g),a[3]=Math.max(a[3],p+y));k=M(k,C),this.idToIndex=w,this.updateLines(t,k),this.updateError(\"X\",t,k,A),this.updateError(\"Y\",t,k,S);var j,N;if(o&&o.length)for(N={},f=0;f<o.length;f++)N[o[f].pointNumber]=!0;if(this.hasMarkers){this.scatter.options.positions=k,this.scatter.options.sizes=new Array(L),this.scatter.options.glyphs=new Array(L),this.scatter.options.borderWidths=new Array(L),this.scatter.options.colors=new Array(4*L),this.scatter.options.borderColors=new Array(4*L);var B,U,V,H,q,G,Y,W,X,Z,J=T(t),K=t.marker,Q=K.opacity,$=t.opacity,tt=R(K.symbol,x),et=s(K,Q,$,x),rt=P(K.line.width,x),nt=s(K.line,Q,$,x);for(j=i(J,K.size,x),f=0;f<L;++f)B=w[f],V=tt[B],H=E[V],q=u(V),G=N&&!N[B],Y=H.noBorder&&!q?nt:et,W=q?et:nt,U=j[B],X=rt[B],Z=H.noBorder||H.noFill?.1*U:0,this.scatter.options.sizes[f]=4*U,this.scatter.options.glyphs[f]=H.unicode,this.scatter.options.borderWidths[f]=.5*(X>Z?X-Z:0),!q||H.noBorder||H.noFill?c(this.scatter.options.colors,Y,f,B,G):c(this.scatter.options.colors,z,f,0),c(this.scatter.options.borderColors,W,f,B,G);N?(this.scatter.options.positions=null,this.fancyScatter.update(),this.scatter.options.positions=k):this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(l,h,j)},D.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(L[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=w(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},D.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},D.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[I[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},D.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};b.expand(n.xaxis,t,i),b.expand(n.yaxis,e,i)},D.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=f},{\"../../components/errorbars\":634,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../constants/interactions\":706,\"../../lib\":728,\"../../lib/gl_format_color\":724,\"../../lib/str2rgbarray\":749,\"../../lib/typed_array_truncate\":754,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/axis_autotype\":773,\"../scatter/get_trace_color\":1040,\"../scatter/make_bubble_size_func\":1047,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131,\"gl-error2d\":159,\"gl-line2d\":170,\"gl-scatter2d\":248,\"gl-scatter2d-sdf\":243}],1080:[function(t,e,r){\"use 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h=1;for(u=s(t,c,t.length,e),c=0;c<o;c++)h*=e;this.imuln(h),this.words[0]+u<67108864?this.words[0]+=u:this._iaddn(u)}},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 _=[\"\",\"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\"],w=[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],M=[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];a.prototype.toString=function(t,e){t=t||10,e=0|e||1;var r;if(16===t||\"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);a=s>>>24-i&16777215,r=0!==a||o!==this.length-1?_[6-l.length]+l+r:l+r,i+=2,i>=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 u=w[t],c=M[t];r=\"\";var h=this.clone();for(h.negative=0;!h.isZero();){var f=h.modn(c).toString(t);h=h.idivn(c),r=h.isZero()?f+r:_[u-f.length]+f+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 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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;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();var r,n;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=this.cmp(t);if(0===r)return this.negative=0,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o<i.length;o++)e=(0|n.words[o])-(0|i.words[o])+a,a=e>>26,this.words[o]=67108863&e;for(;0!==a&&o<n.length;o++)e=(0|n.words[o])+a,a=e>>26,this.words[o]=67108863&e;if(0===a&&o<n.length&&n!==this)for(;o<n.length;o++)this.words[o]=n.words[o];return this.length=Math.max(this.length,o),n!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var k=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],h=8191&c,f=c>>>13,d=0|o[1],p=8191&d,m=d>>>13,g=0|o[2],v=8191&g,y=g>>>13,b=0|o[3],x=8191&b,_=b>>>13,w=0|o[4],M=8191&w,k=w>>>13,A=0|o[5],T=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,I=0|o[7],z=8191&I,D=I>>>13,P=0|o[8],O=8191&P,R=P>>>13,F=0|o[9],j=8191&F,N=F>>>13,B=0|s[0],U=8191&B,V=B>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ht=8191&ct,ft=ct>>>13,dt=0|s[9],pt=8191&dt,mt=dt>>>13;r.negative=t.negative^e.negative,r.length=19,n=Math.imul(h,U),i=Math.imul(h,V),i=i+Math.imul(f,U)|0,a=Math.imul(f,V);var gt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(p,U),i=Math.imul(p,V),i=i+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(h,q)|0,i=i+Math.imul(h,G)|0,i=i+Math.imul(f,q)|0,a=a+Math.imul(f,G)|0;var vt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=Math.imul(v,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=i+Math.imul(v,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,K)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,K)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=i+Math.imul(v,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,K)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=i+Math.imul(v,K)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,K)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=i+Math.imul(v,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(z,U),i=Math.imul(z,V),i=i+Math.imul(D,U)|0,a=Math.imul(D,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,K)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=i+Math.imul(v,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var Mt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(O,U),i=Math.imul(O,V),i=i+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(z,q)|0,i=i+Math.imul(z,G)|0,i=i+Math.imul(D,q)|0,a=a+Math.imul(D,G)|0,n=n+Math.imul(L,W)|0,i=i+Math.imul(L,X)|0,i=i+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,i=i+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(M,$)|0,i=i+Math.imul(M,tt)|0,i=i+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(x,rt)|0,i=i+Math.imul(x,nt)|0,i=i+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=i+Math.imul(v,ot)|0,i=i+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(p,lt)|0,i=i+Math.imul(p,ut)|0,i=i+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(h,ht)|0,i=i+Math.imul(h,ft)|0,i=i+Math.imul(f,ht)|0,a=a+Math.imul(f,ft)|0;var kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(j,U),i=Math.imul(j,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,i=i+Math.imul(D,W)|0,a=a+Math.imul(D,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=i+Math.imul(v,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(j,q),i=Math.imul(j,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,i=i+Math.imul(D,J)|0,a=a+Math.imul(D,K)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(v,ht)|0,i=i+Math.imul(v,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(j,W),i=Math.imul(j,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,K)|0,i=i+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,i=i+Math.imul(D,$)|0,a=a+Math.imul(D,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(v,pt)|0,i=i+Math.imul(v,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(j,J),i=Math.imul(j,K),i=i+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,i=i+Math.imul(D,rt)|0,a=a+Math.imul(D,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(j,$),i=Math.imul(j,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(z,at)|0,i=i+Math.imul(z,ot)|0,i=i+Math.imul(D,at)|0,a=a+Math.imul(D,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(j,rt),i=Math.imul(j,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(z,lt)|0,i=i+Math.imul(z,ut)|0,i=i+Math.imul(D,lt)|0,a=a+Math.imul(D,ut)|0,n=n+Math.imul(L,ht)|0,\n",
       "i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(j,at),i=Math.imul(j,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0,i=i+Math.imul(D,ht)|0,a=a+Math.imul(D,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(j,lt),i=Math.imul(j,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0,n=n+Math.imul(z,pt)|0,i=i+Math.imul(z,mt)|0,i=i+Math.imul(D,pt)|0,a=a+Math.imul(D,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(j,ht),i=Math.imul(j,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(R,pt)|0,a=a+Math.imul(R,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(j,pt),i=Math.imul(j,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=It,l[16]=zt,l[17]=Dt,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.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},f.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},f.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]]},f.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),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],g=r[c+d+o],v=n[c+d+o],y=h*g-f*v;v=h*v+f*g,g=y,r[c+d]=p+g,n[c+d]=m+v,r[c+d+o]=p-g,n[c+d+o]=m-v,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.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},f.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}},f.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},f.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))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.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),u=new Array(n),c=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,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),h(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=l(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){n(\"number\"==typeof t&&t>=0);var i;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 u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),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=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;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),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}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){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 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 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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),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),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(u)}},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=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},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];s+=a,a=s>>>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=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},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 y(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 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0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new g;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new v}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.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\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.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)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return 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c=t(\"./convert\"),h=t(\"./transform\"),f=t(\"./clip\"),d=t(\"./wrap\"),p=t(\"./tile\");i.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,solidChildren:!1,tolerance:3,extent:4096,buffer:64,debug:0},i.prototype.splitTile=function(t,e,r,n,i,l,c){for(var h=[t,e,r,n],d=this.options,m=d.debug,g=null;h.length;){n=h.pop(),r=h.pop(),e=h.pop(),t=h.pop();var v=1<<e,y=a(e,r,n),b=this.tiles[y],x=e===d.maxZoom?0:d.tolerance/(v*d.extent);if(!b&&(m>1&&console.time(\"creation\"),b=this.tiles[y]=p(t,v,r,n,x,e===d.maxZoom),this.tileCoords.push({z:e,x:r,y:n}),m)){m>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,b.numFeatures,b.numPoints,b.numSimplified),console.timeEnd(\"creation\"));var _=\"z\"+e;this.stats[_]=(this.stats[_]||0)+1,this.total++}if(b.source=t,i){if(e===d.maxZoom||e===i)continue;var w=1<<i-e;if(r!==Math.floor(l/w)||n!==Math.floor(c/w))continue}else 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s={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z2:e,transformed:!1,min:[2,1],max:[-1,0]},l=0;l<t.length;l++){s.numFeatures++,i(s,t[l],a,o);var u=t[l].min,c=t[l].max;u[0]<s.min[0]&&(s.min[0]=u[0]),u[1]<s.min[1]&&(s.min[1]=u[1]),c[0]>s.max[0]&&(s.max[0]=c[0]),c[1]>s.max[1]&&(s.max[1]=c[1])}return s}function i(t,e,r,n){var i,o,s,l,u=e.geometry,c=e.type,h=[],f=r*r;if(1===c)for(i=0;i<u.length;i++)h.push(u[i]),t.numPoints++,t.numSimplified++;else for(i=0;i<u.length;i++)if(s=u[i],n||!(2===c&&s.dist<r||3===c&&s.area<f)){var d=[];for(o=0;o<s.length;o++)l=s[o],(n||l[2]>f)&&(d.push(l),t.numSimplified++),t.numPoints++;3===c&&a(d,s.outer),h.push(d)}else t.numPoints+=s.length;if(h.length){var p={geometry:h,type:c,tags:e.tags||null};null!==e.id&&(p.id=e.id),t.features.push(p)}}function a(t,e){o(t)<0===e&&t.reverse()}function o(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],r=t[o],n+=(r[0]-e[0])*(e[1]+r[1]);return n}e.exports=n},{}],145:[function(t,e,r){\"use 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p=0;p<3;++p)h[d][p]!==this.bounds[d][p]&&(c=!0),this.bounds[d][p]=h[d][p];if(\"ticks\"in t){r=t.ticks,s=!0,this.autoTicks=!1;for(var d=0;d<3;++d)this.tickSpacing[d]=0}else n(\"tickSpacing\")&&(this.autoTicks=!0,c=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),c=!0,s=!0,this._firstInit=!1),c&&this.autoTicks&&(r=f.create(this.bounds,this.tickSpacing),s=!0),s){for(var d=0;d<3;++d)r[d].sort(function(t,e){return t.x-e.x});f.equal(r,this.ticks)?s=!1:this.ticks=r}i(\"tickEnable\"),a(\"tickFont\")&&(s=!0),n(\"tickSize\"),n(\"tickAngle\"),n(\"tickPad\"),o(\"tickColor\");var m=a(\"labels\");a(\"labelFont\")&&(m=!0),i(\"labelEnable\"),n(\"labelSize\"),n(\"labelPad\"),o(\"labelColor\"),i(\"lineEnable\"),i(\"lineMirror\"),n(\"lineWidth\"),o(\"lineColor\"),i(\"lineTickEnable\"),i(\"lineTickMirror\"),n(\"lineTickLength\"),n(\"lineTickWidth\"),o(\"lineTickColor\"),i(\"gridEnable\"),n(\"gridWidth\"),o(\"gridColor\"),i(\"zeroEnable\"),o(\"zeroLineColor\"),n(\"zeroLineWidth\"),i(\"backgroundEnable\"),o(\"backgroundColor\"),this._text?this._text&&(m||s)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=l(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&s&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=u(this.gl,this.bounds,this.ticks))};var m=[new a,new a,new a],g=[0,0,0],v={model:d,view:d,projection:d};p.isOpaque=function(){return!0},p.isTransparent=function(){return!1},p.drawTransparent=function(t){};var y=[0,0,0],b=[0,0,0],x=[0,0,0];p.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||d,i=t.view||d,a=t.projection||d,s=this.bounds,l=h(r,i,a,s),u=l.cubeEdges,c=l.axis,f=i[12],p=i[13],_=i[14],w=i[15],M=this.pixelRatio*(a[3]*f+a[7]*p+a[11]*_+a[15]*w)/e.drawingBufferHeight,k=0;k<3;++k)this.lastCubeProps.cubeEdges[k]=u[k],this.lastCubeProps.axis[k]=c[k];for(var A=m,k=0;k<3;++k)o(m[k],k,this.bounds,u,c);for(var e=this.gl,T=g,k=0;k<3;++k)this.backgroundEnable[k]?T[k]=c[k]:T[k]=0;this._background.draw(r,i,a,s,T,this.backgroundColor),this._lines.bind(r,i,a,this);for(var k=0;k<3;++k){var S=[0,0,0];c[k]>0?S[k]=s[1][k]:S[k]=s[0][k];for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.gridEnable[L]&&this._lines.drawGrid(L,C,this.bounds,S,this.gridColor[L],this.gridWidth[L]*this.pixelRatio)}for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.zeroEnable[C]&&s[0][C]<=0&&s[1][C]>=0&&this._lines.drawZero(L,C,this.bounds,S,this.zeroLineColor[C],this.zeroLineWidth[C]*this.pixelRatio)}}for(var k=0;k<3;++k){this.lineEnable[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].primalOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio),this.lineMirror[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].mirrorOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio);for(var I=n(y,A[k].primalMinor),z=n(b,A[k].mirrorMinor),D=this.lineTickLength,E=0;E<3;++E){var P=M/r[5*E];I[E]*=D[E]*P,z[E]*=D[E]*P}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,A[k].primalOffset,I,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,A[k].mirrorOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var k=0;k<3;++k){for(var O=A[k].primalMinor,R=n(x,A[k].primalOffset),E=0;E<3;++E)this.lineTickEnable[k]&&(R[E]+=M*O[E]*Math.max(this.lineTickLength[E],0)/r[5*E]);if(this.tickEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],R,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.labelPad[E]/r[5*E];R[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],R,this.labelColor[k])}}},p.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\":149,\"./lib/cube.js\":150,\"./lib/lines.js\":151,\"./lib/text.js\":153,\"./lib/ticks.js\":154}],149:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var g=u;u=c,c=g}var v=a(t,new 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e=0;e<m.length;++e)if(t=l.positive(t,m[e]),t.length<3)return 0;for(var r=t[0],n=r[0]/r[3],i=r[1]/r[3],a=0,e=1;e+1<t.length;++e){var o=t[e],s=t[e+1],u=o[0]/o[3],c=o[1]/o[3],h=s[0]/s[3],f=s[1]/s[3],d=u-n,p=c-i,g=h-n,v=f-i;a+=Math.abs(d*v-p*g)}return a}function a(t,e,r,a){s(c,e,t),s(c,r,c);for(var l=0,m=0;m<2;++m){d[2]=a[m][2];for(var b=0;b<2;++b){d[1]=a[b][1];for(var x=0;x<2;++x)d[0]=a[x][0],n(h[l],d,c),l+=1}}for(var _=-1,m=0;m<8;++m){for(var w=h[m][3],M=0;M<3;++M)f[m][M]=h[m][M]/w;w<0&&(_<0?_=m:f[m][2]<f[_][2]&&(_=m))}if(_<0){_=0;for(var k=0;k<3;++k){for(var A=(k+2)%3,T=(k+1)%3,S=-1,E=-1,L=0;L<2;++L){var C=L<<k,I=C+(L<<A)+(1-L<<T),z=C+(1-L<<A)+(L<<T);u(f[C],f[I],f[z],p)<0||(L?S=1:E=1)}if(S<0||E<0)E>S&&(_|=1<<k);else{for(var L=0;L<2;++L){var C=L<<k,I=C+(L<<A)+(1-L<<T),z=C+(1-L<<A)+(L<<T),D=i([h[C],h[I],h[z],h[C+(1<<A)+(1<<T)]]);L?S=D:E=D}E>S&&(_|=1<<k)}}}for(var P=7^_,O=-1,m=0;m<8;++m)m!==_&&m!==P&&(O<0?O=m:f[O][1]>f[m][1]&&(O=m));for(var R=-1,m=0;m<3;++m){var 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o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var c=n(f);c[e]=1,this.shader.uniforms.screenAxis=c,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,6)},m.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":152,\"gl-buffer\":156,\"gl-vao\":271}],152:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");r.line=function(t){return n(t,\"#define GLSLIFY 1\\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\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip position\\n  vec4 viewPosition = view * worldPosition;\\n  vec4 clipPosition = projection * viewPosition;\\n  clipPosition /= clipPosition.w;\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec4(viewOffset, 0, 0);\\n\\n  //Done\\n  gl_Position = clipPosition;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.bg=function(t){return n(t,\"#define GLSLIFY 1\\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  if(dot(normal, enable) > 0.0) {\\n    vec3 nPosition = mix(bounds[0], bounds[1], 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  colorChannel = abs(normal);\\n}\",\"precision mediump float;\\n#define 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p=[0,0,0];f.drawTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=p;a[0]=a[1]=a[2]=0,a[t]=1,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.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var m=[0,0,0];f.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=m,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":152,_process:487,\"gl-buffer\":156,\"gl-vao\":271,\"vectorize-text\":554}],154:[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,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var h=\"\"+u;h.length<i;)h=\"0\"+h;return c+\".\"+h}return c}function i(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(var 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}function a(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}r.create=i,r.equal=a},{}],155:[function(t,e,r){\"use strict\";function n(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}function i(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=p,s=m,l=0;l<3;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,h(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,h(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,c=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+c*c)}return t}function a(t,e,r,n,a){var h=e.model||f,p=e.view||f,m=e.projection||f,y=t.bounds,a=a||l(h,p,m,y),b=a.axis;a.edges;u(d,p,h),u(d,m,d);for(var x=g,_=0;_<3;++_)x[_].lo=1/0,x[_].hi=-1/0,x[_].pixelsPerDataUnit=1/0;var w=o(c(d,d));c(d,d);for(var M=0;M<3;++M){var k=(M+1)%3,A=(M+2)%3,T=v;t:for(var _=0;_<2;++_){var S=[];if(b[M]<0!=!!_){T[M]=y[_][M];for(var E=0;E<2;++E){T[k]=y[E^_][k];for(var L=0;L<2;++L)T[A]=y[L^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=s.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],C=i(v,d,A,r,n),L=0;L<3;++L)x[L].lo=Math.min(x[L].lo,A[L]),x[L].hi=Math.max(x[L].hi,A[L]),L!==M&&(x[L].pixelsPerDataUnit=Math.min(x[L].pixelsPerDataUnit,Math.abs(C[L])))}}}return x}e.exports=a;var o=t(\"extract-frustum-planes\"),s=t(\"split-polygon\"),l=t(\"./lib/cube.js\"),u=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/transpose\"),h=t(\"gl-vec4/transformMat4\"),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],m=[0,0,0,1],g=[new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":150,\"extract-frustum-planes\":130,\"gl-mat4/multiply\":183,\"gl-mat4/transpose\":191,\"gl-vec4/transformMat4\":277,\"split-polygon\":526}],156:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(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 a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;i<n;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||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(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==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 a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t(\"typedarray-pool\"),u=t(\"ndarray-ops\"),c=t(\"ndarray\"),h=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"],f=n.prototype;f.bind=function(){this.gl.bindBuffer(this.type,this.handle)},f.unbind=function(){this.gl.bindBuffer(this.type,null)},f.dispose=function(){this.gl.deleteBuffer(this.handle)},f.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":157}],159:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var u=[[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]],c=n.prototype;c.draw=function(){var t=new Float32Array([0,0]),e=new Float32Array([0,0]),r=new Float32Array([0,0]),n=new Float32Array([0,0]),i=[1,1];return function(){var a=this.plot,o=this.shader,s=this.bounds,l=this.numPoints;if(l){var c=a.gl,h=a.dataBox,f=a.viewBox,d=a.pixelRatio,p=s[2]-s[0],m=s[3]-s[1],g=h[2]-h[0],v=h[3]-h[1],y=2*p/g,b=2*m/v,x=(s[0]-h[0]-.5*g)/p,_=(s[1]-h[1]-.5*v)/m;t[0]=y,t[1]=b,e[0]=y-t[0],e[1]=b-t[1],r[0]=x,r[1]=_,n[0]=x-r[0],n[1]=_-r[1];var w=f[2]-f[0],M=f[3]-f[1];i[0]=2*d/w,i[1]=2*d/M,o.bind(),o.uniforms.scaleHi=t,o.uniforms.scaleLo=e,o.uniforms.translateHi=r,o.uniforms.translateLo=n,o.uniforms.pixelScale=i,o.uniforms.color=this.color,this.bufferLo.bind(),o.attributes.positionLo.pointer(c.FLOAT,!1,16,0),this.bufferHi.bind(),o.attributes.positionHi.pointer(c.FLOAT,!1,16,0),o.attributes.pixelOffset.pointer(c.FLOAT,!1,16,8),c.drawArrays(c.TRIANGLES,0,l*u.length)}}}(),c.drawPick=function(t){return t},c.pick=function(){return null},c.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;\"lineWidth\"in t&&(o=+t.lineWidth);var l=5;\"capSize\"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var c=this.bounds=[1/0,1/0,-1/0,-1/0],h=this.numPoints=i.length>>1;for(e=0;e<h;++e)r=i[2*e],n=i[2*e+1],c[0]=Math.min(r,c[0]),c[1]=Math.min(n,c[1]),c[2]=Math.max(r,c[2]),c[3]=Math.max(n,c[3]);c[2]===c[0]&&(c[2]+=1),c[3]===c[1]&&(c[3]+=1);var f=1/(c[2]-c[0]),d=1/(c[3]-c[1]),p=c[0],m=c[1],g=s.mallocFloat64(h*u.length*4),v=s.mallocFloat32(h*u.length*4),y=s.mallocFloat32(h*u.length*4),b=0;for(e=0;e<h;++e){r=i[2*e],n=i[2*e+1];for(var x=a[4*e],_=a[4*e+1],w=a[4*e+2],M=a[4*e+3],k=0;k<u.length;++k){var A=u[k],T=A[0],S=A[1];T<0?T*=x:T>0&&(T*=_),S<0?S*=w:S>0&&(S*=M),g[b++]=f*(r-p+T),g[b++]=d*(n-m+S),g[b++]=o*A[2]+(l+o)*A[4],g[b++]=o*A[3]+(l+o)*A[5]}}for(e=0;e<g.length;e++)v[e]=g[e],y[e]=g[e]-v[e];this.bufferHi.update(v),this.bufferLo.update(y),s.free(g)},c.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.bufferHi.dispose(),this.bufferLo.dispose()}},{\"./lib/shaders\":160,\"gl-buffer\":156,\"gl-shader\":255,\"typedarray-pool\":541}],160:[function(t,e,r){e.exports={\n",
       "vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi;\\nattribute vec2 positionLo;\\nattribute vec2 pixelOffset;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo, pixelScale;\\n\\nvec2 project(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\nvoid main() {\\n  vec3 scrPosition = vec3(\\n         project(scaleHi, translateHi, scaleLo, translateLo, positionHi, positionLo),\\n         1);\\n  gl_Position = vec4(\\n    scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\\n    0,\\n    scrPosition.z);\\n}\\n\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\\n\"}},{}],161:[function(t,e,r){\"use strict\";function n(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}function i(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])}function a(t,e,r,n){for(var i=f[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}function o(t){var e=t.gl,r=s(e),i=l(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}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=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=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in 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])),\"opacity\"in t&&(this.opacity=t.opacity);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 o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":163,\"gl-buffer\":156,\"gl-vao\":271}],162:[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(\"\")}},{}],163:[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, 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 mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\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\":255,glslify:162}],164:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=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(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(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 u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var g=0;g<h;++g)t.color[g]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+g);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=s(r,u,c,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==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(var g=0;g<t.color.length;++g)t.color[g].dispose(),t.color[g]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(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 l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(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 a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,g=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,v=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,g,v,y=null,b=c.prototype;Object.defineProperties(b,{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 h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.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])}},b.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\":267}],165:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var g=s(e).split(\"\\n\"),d=0;d<g.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var v=g[d];if(u+=v+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":40,\"gl-constants/lookup\":158,\"glsl-shader-name\":279,\"sprintf-js\":527}],166:[function(t,e,r){\"use strict\";function n(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}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.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,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.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]}}}(),h.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]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],g=h[3]=n[n.length-1],v=1/(m-d),y=1/(g-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var I=v*(r[C]-d),z=v*(r[C+1]-d),D=0;D<f.length;D+=2){var P,O,R,F,j=f[D],N=f[D+1],B=(S+N)*b+(C+j),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],R=u[2],F=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],R=u[4*c-2],F=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],R=q*u[G+2]+H*u[Y+2],F=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*R,w[4*T+3]=255*F,M[2*T]=.5*I+.5*z,M[2*T+1]=.5*E+.5*L,k[2*T]=j,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.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\":167,\"binary-search-bounds\":168,\"gl-buffer\":156,\"gl-shader\":255,\"iota-array\":293,\"typedarray-pool\":541}],167:[function(t,e,r){\"use strict\";e.exports={fragment:\"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:\"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:\"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:\"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\"}},{}],168:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],169:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],170:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),g=new n(t,c,i,a,u,f,d,p,m);return t.addObject(g),g.update(e),g}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var g=this.lineShader;g.bind(),this.lineBufferLo.bind(),g.attributes.aLo.pointer(l.FLOAT,!1,16,0),g.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var v=g.uniforms;this.setProjectionUniforms(v,a),v.color=c,v.width=s*u,v.dashPattern=this.dashPattern.bind(),v.dashLength=this.dashLength*u;var y=g.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var g=this.bounds;g[0]=g[1]=1/0,g[2]=g[3]=-1/0;var v=this.numPoints=m.length>>>1;if(0!==v){for(e=0;e<v;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(g[0]=Math.min(g[0],a),g[1]=Math.min(g[1],o),g[2]=Math.max(g[2],a),g[3]=Math.max(g[3],o));g[0]===g[2]&&(g[2]+=1),g[3]===g[1]&&(g[3]+=1);var y=c.mallocFloat64(24*(v-1)),b=c.mallocFloat32(24*(v-1)),x=c.mallocFloat32(24*(v-1)),_=c.mallocUint32(12*(v-1)),w=b.length,M=_.length;n=v;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-g[0])/(g[2]-g[0]),o=(o-g[1])/(g[3]-g[1]),S=(S-g[0])/(g[2]-g[0]),E=(E-g[1])/(g[3]-g[1]);var L=S-a,C=E-o,I=A|1<<24,z=A-1,D=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":169,\"gl-buffer\":156,\"gl-shader\":255,\"gl-texture2d\":267,ndarray:467,\"typedarray-pool\":541}],171:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump 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\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{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 n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\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\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp 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  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp 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  highp 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\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":255}],172:[function(t,e,r){\"use strict\";function n(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 i(t){\n",
       "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 a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(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.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(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 n=g(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,g=p.createPickShader,v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,clipBounds:i(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)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=!1;t:for(e=1;e<a.length;++e){var v=a[e-1],y=a[e];for(u.push(h),c.push(v.slice()),r=0;r<3;++r){if(isNaN(v[r])||isNaN(y[r])||!isFinite(v[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,g=!0}continue t}m[0][r]=Math.min(m[0][r],v[r],y[r]),m[1][r]=Math.max(m[1][r],v[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var 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null;if(r===this.arcLength.length-1)return new a(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)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],u=0;u<3;++u)l[u]=s*n[u]+o*i[u];var c=Math.min(o<.5?r:r+1,this.points.length-1);return new a(e,l,c,this.points[c])}},{\"./lib/shaders\":171,\"binary-search-bounds\":66,\"gl-buffer\":156,\"gl-texture2d\":267,\"gl-vao\":271,\"glsl-read-float\":278,ndarray:467}],173:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],174:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],175:[function(t,e,r){function n(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}e.exports=n},{}],176:[function(t,e,r){function n(){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}e.exports=n},{}],177:[function(t,e,r){function n(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],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],178:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],179:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],180:[function(t,e,r){function n(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}e.exports=n},{}],181:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-g*w+v*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(g*x-p*M-v*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+v*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-g*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null}e.exports=n},{}],182:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,u,c,h,f,d,p,m=e[0],g=e[1],v=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],M=r[2];return Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-M)<1e-6?i(t):(h=m-_,f=g-w,d=v-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+u*g+c*v),t[14]=-(h*m+f*g+d*v),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":180}],183:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],184:[function(t,e,r){function n(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}e.exports=n},{}],185:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],I=Math.sqrt(E*E+L*L+C*C);return Math.abs(I)<1e-6?null:(I=1/I,E*=I,L*=I,C*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],g=e[9],v=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+g*_,t[2]=u*b+d*x+v*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+g*k,t[6]=u*w+d*M+v*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+g*S,t[10]=u*A+d*T+v*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],186:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=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+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],187:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return 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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],188:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=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+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],189:[function(t,e,r){function n(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}e.exports=n},{}],190:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,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],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t}e.exports=n},{}],191:[function(t,e,r){function n(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}e.exports=n},{}],192:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t}e.exports=n;var i=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),o=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":173,\"gl-mat3/invert\":174,\"gl-mat4/invert\":181}],193:[function(t,e,r){r.glMatrix=t(\"./gl-matrix/common.js\"),r.mat2=t(\"./gl-matrix/mat2.js\"),r.mat2d=t(\"./gl-matrix/mat2d.js\"),r.mat3=t(\"./gl-matrix/mat3.js\"),r.mat4=t(\"./gl-matrix/mat4.js\"),r.quat=t(\"./gl-matrix/quat.js\"),r.vec2=t(\"./gl-matrix/vec2.js\"),r.vec3=t(\"./gl-matrix/vec3.js\"),r.vec4=t(\"./gl-matrix/vec4.js\")},{\"./gl-matrix/common.js\":194,\"./gl-matrix/mat2.js\":195,\"./gl-matrix/mat2d.js\":196,\"./gl-matrix/mat3.js\":197,\"./gl-matrix/mat4.js\":198,\"./gl-matrix/quat.js\":199,\"./gl-matrix/vec2.js\":200,\"./gl-matrix/vec3.js\":201,\"./gl-matrix/vec4.js\":202}],194:[function(t,e,r){var n={};n.EPSILON=1e-6,n.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.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},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=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,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[3]=c-v,t[6]=f+g,t[1]=c+v,t[4]=1-u-p,t[7]=d-m,t[2]=f-g,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=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],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-g*w+v*_)*C,t[7]=(g*x-p*M-v*b)*C,t[8]=(p*w-m*x+v*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.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[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=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[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=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[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=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[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=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]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],g=e[4],v=e[5],y=t[6],b=e[7],x=e[8];return Math.abs(r-f)<=n.EPSILON*Math.max(1,Math.abs(r),Math.abs(f))&&Math.abs(i-d)<=n.EPSILON*Math.max(1,Math.abs(i),Math.abs(d))&&Math.abs(a-p)<=n.EPSILON*Math.max(1,Math.abs(a),Math.abs(p))&&Math.abs(o-m)<=n.EPSILON*Math.max(1,Math.abs(o),Math.abs(m))&&Math.abs(s-g)<=n.EPSILON*Math.max(1,Math.abs(s),Math.abs(g))&&Math.abs(l-v)<=n.EPSILON*Math.max(1,Math.abs(l),Math.abs(v))&&Math.abs(u-y)<=n.EPSILON*Math.max(1,Math.abs(u),Math.abs(y))&&Math.abs(c-b)<=n.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(h-x)<=n.EPSILON*Math.max(1,Math.abs(h),Math.abs(x))},e.exports=i},{\"./common.js\":194}],198:[function(t,e,r){var n=t(\"./common.js\"),i={scalar:{},SIMD:{}};i.create=function(){var t=new n.ARRAY_TYPE(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},i.clone=function(t){var e=new n.ARRAY_TYPE(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},i.copy=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},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,g){var v=new n.ARRAY_TYPE(16);return v[0]=t,v[1]=e,v[2]=r,v[3]=i,v[4]=a,v[5]=o,v[6]=s,v[7]=l,v[8]=u,v[9]=c,v[10]=h,v[11]=f,v[12]=d,v[13]=p,v[14]=m,v[15]=g,v},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=g,t},i.identity=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},i.scalar.transpose=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},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.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],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-g*w+v*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(g*x-p*M-v*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+v*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-g*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=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],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(f*v-d*g)-h*(l*v-u*g)+m*(l*d-u*f),t[1]=-(n*(f*v-d*g)-h*(i*v-a*g)+m*(i*d-a*f)),t[2]=n*(l*v-u*g)-s*(i*v-a*g)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*v-d*g)-c*(l*v-u*g)+p*(l*d-u*f)),t[5]=r*(f*v-d*g)-c*(i*v-a*g)+p*(i*d-a*f),t[6]=-(r*(l*v-u*g)-o*(i*v-a*g)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*v-d*m)-c*(s*v-u*m)+p*(s*d-u*h),t[9]=-(r*(h*v-d*m)-c*(n*v-a*m)+p*(n*d-a*h)),t[10]=r*(s*v-u*m)-o*(n*v-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*g-f*m)-c*(s*g-l*m)+p*(s*f-l*h)),t[13]=r*(h*g-f*m)-c*(n*g-i*m)+p*(n*f-i*h),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12)\n",
       ";return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=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],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,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],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(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]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.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},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],I=i[2],z=Math.sqrt(L*L+C*C+I*I);return Math.abs(z)<n.EPSILON?null:(z=1/z,L*=z,C*=z,I*=z,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],g=e[8],v=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+I*a,w=I*L*s-C*a,M=L*C*s-I*a,k=C*C*s+o,A=I*C*s+L*a,T=L*I*s+C*a,S=C*I*s-L*a,E=I*I*s+o,t[0]=l*x+f*_+g*w,t[1]=u*x+d*_+v*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+g*A,t[5]=u*M+d*k+v*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+g*E,t[9]=u*T+d*S+v*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.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],u=e[8],c=e[9],h=e[10],f=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+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));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]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=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],u=e[8],c=e[9],h=e[10],f=e[11];return 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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.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],u=e[4],c=e[5],h=e[6],f=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+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=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},i.fromScaling=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},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=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},i.fromYRotation=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},i.fromZRotation=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},i.fromRotationTranslation=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,g=o*c,v=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+g))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+g))*_,t[6]=(m+v)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-v)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,g=o*h,v=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+v))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+v))*w,t[6]=(g+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(g-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=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,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=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)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=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},i.perspectiveFromFieldOfView=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),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*u*.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},i.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=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*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,g=e[0],v=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(g-w)<n.EPSILON&&Math.abs(v-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=g-w,d=v-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*g+s*v+l*y),t[13]=-(u*g+c*v+h*y),t[14]=-(f*g+d*v+p*y),t[15]=1,t)},i.str=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]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.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[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=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[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=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[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=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[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=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]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],g=t[13],v=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],I=e[12],z=e[13],D=e[14],P=e[15];return 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p=t(\"gl-shader\"),m=t(\"gl-buffer\"),g=t(\"gl-vao\"),v=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,I=A.pointPickShader,z=A.contourShader,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;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.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,g=this.positions[f],v=this.positions[d],y=0;y<3;++y)o[s++]=p*g[y]+m*v[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.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),\"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),t.texture?(this.texture.dispose(),this.texture=v(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(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],g=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,I=t.vertexIntensity,z=t.cellUVs,D=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!z)if(I)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],O=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];P=Math.min(P,F),O=Math.max(O,F)}else if(D)for(var R=0;R<D.length;++R){var F=D[R];P=Math.min(P,F),O=Math.max(O,F)}else for(var R=0;R<n.length;++R){var F=n[R][2];P=Math.min(P,F),O=Math.max(O,F)}this.intensity=I||(D?a(r,n.length,D):o(n));var j=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var R=0;R<n.length;++R)for(var B=n[R],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;g.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),j?_.push(j[Y]):_.push(N),w.push(R),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(R)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[R],u.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(g),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,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,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,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,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,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,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),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.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(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},P.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=d},{\"./lib/closest-point\":203,\"./lib/shaders\":204,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-shader\":255,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,normals:469,\"simplicial-complex-contour\":517,\"typedarray-pool\":541}],206:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],207:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var g=l[m],v=l[m+2],y=v-g,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(g-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],b=v[3]-v[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,I=s.tickMarkColor,z=6*h[0].length,D=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*D,R=6*Math.max(0,P-D),F=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),j=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=z+6*F,B=6*Math.max(0,j-F);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*g/y,o[1]=C[1]*g/b,B&&(E.color=I[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*g/y,o[1]=L[0]*g/b,R&&(E.color=I[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*g/y,o[1]=C[3]*g/b,B&&(E.color=I[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*g/y,o[1]=L[2]*g/b,R&&(E.color=I[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R))}}(),c.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;l<2;++l)for(var u=s[l],c=n[l],h=i[l],f=i[l+2],d=0;d<c.length;++d){var p=(c[d].x-h)/(f-h);u.push(p);for(var m=0;m<6;++m)a[o++]=p,a[o++]=t[m],a[o++]=e[m]}this.ticks=s,this.vbo.update(a)}}(),c.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":209,\"binary-search-bounds\":211,\"gl-buffer\":156,\"gl-shader\":212}],208:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[-1,-1,-1,1,1,-1,1,1]),o(e,s.lineVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],209:[function(t,e,r){\"use strict\";var 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:\"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:n,textVert:\"#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:n,gridVert:\"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 * 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strict\";function n(t,e){if(!s){var r=Object.keys(o);s={};for(var n=0;n<r.length;++n){var i=r[n];s[t[i]]=o[i]}}return s[e]}function i(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),i=[],a=0;a<r;++a){var o=t.getActiveUniform(e,a);if(o){var s=n(t,o.type);if(o.size>1)for(var l=0;l<o.size;++l)i.push({name:o.name.replace(\"[0]\",\"[\"+l+\"]\"),type:s});else i.push({name:o.name,type:s})}}return i}function a(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),i=[],a=0;a<r;++a){var o=t.getActiveAttrib(e,a);o&&i.push({name:o.name,type:n(t,o.type)})}return i}r.uniforms=i,r.attributes=a;var o={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\"},s=null},{}],218:[function(t,e,r){\"use strict\";function 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c=t(\"./GLError\"),h=t(\"gl-format-compiler-error\"),f=\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap,d=new f,p=0;n.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 m=i.prototype;m.getShaderReference=function(t,e){var r=this.gl,i=this.shaders[t===r.FRAGMENT_SHADER|0],o=i[e];if(o&&r.isShader(o.shader))o.count+=1;else{var s=a(r,t,e);o=i[e]=new n(p++,e,t,s,[],1,this)}return o},m.getProgram=function(t,e,r,n){var i=[t.id,e.id,r.join(\":\"),n.join(\":\")].join(\"@\"),a=this.programs[i];return a&&this.gl.isProgram(a)||(this.programs[i]=a=o(this.gl,t.shader,e.shader,r,n),t.programs.push(i),e.programs.push(i)),a}},{\"./GLError\":213,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],219:[function(t,e,r){\"use strict\";function n(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}function i(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function a(t,e){return t.x-e.x}function o(t){var e=t.gl,r=s(e,[e.drawingBufferWidth,e.drawingBufferHeight]),i=new n(e,r);return i.grid=l(i),i.text=u(i),i.line=c(i),i.box=h(i),i.update(t),i}e.exports=o;var s=t(\"gl-select-static\"),l=t(\"./lib/grid\"),u=t(\"./lib/text\"),c=t(\"./lib/line\"),h=t(\"./lib/box\"),f=n.prototype;f.setDirty=function(){this.dirty=this.pickDirty=!0},f.setOverlayDirty=function(){this.dirty=!0},f.nextDepthValue=function(){return this._depthCounter++/65536},f.draw=function(){return 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){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),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[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 c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].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;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();for(var p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;p<b.length;++p)b[p].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}}}(),f.drawPick=function(){return 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()}}}(),f.pick=function(){return 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),u=this.objects,c=0;c<u.length;++c){var h=u[c].pick(a,o,l);if(h)return h}return null}}}(),f.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()},f.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())},f.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()},f.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,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.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=i(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=i(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=i(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=i(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=i(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=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,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()},f.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(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.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}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.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\":206,\"./lib/grid\":207,\"./lib/line\":208,\"./lib/text\":210,\"gl-select-static\":254}],220:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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}\",\"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}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":255}],221:[function(t,e,r){\"use strict\";function n(){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 i(t,e){var r=null;try{r=t.getContext(\"webgl\",e),r||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}function a(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){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return\"boolean\"!=typeof t||t}function s(t){function e(){if(!w&&G.autoResize){var t=M.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*G.pixelRatio),i=0|Math.ceil(r*G.pixelRatio);if(n!==M.width||i!==M.height){M.width=n,M.height=i;var a=M.style;a.position=a.position||\"absolute\",a.left=\"0px\",a.top=\"0px\",a.width=e+\"px\",a.height=r+\"px\",N=!0}}}function r(){for(var t=O.length,e=j.length,r=0;r<e;++r)F[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(F[a]+i<255){R[r]=a,n.setPickBase(F[a]+1),F[a]+=i;continue t}var o=f(A,q);R[r]=e,j.push(o),F.push(i),n.setPickBase(1),e+=1}else R[r]=-1}for(;e>0&&0===F[e-1];)F.pop(),j.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;r<e;++r){var n=j[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(R[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,z.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var v=.05*(i[d]-n[d]);n[d]=n[d]-v,i[d]=i[d]+v}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);z.autoTicks?z.update({bounds:m,tickSpacing:x}):z.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),g(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;z.enable&&(T=T||z.isTransparent(),z.draw(H)),P.axes=z,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=z,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=v(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},I=t.axes||{},z=u(A,I);z.enable=!I.disable;var D=t.spikes||{},P=h(A,D),O=[],R=[],F=[],j=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:z,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,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:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=z,O.push(t),R.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),R.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){z.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<j.length;++t)j[t].dispose();L.dispose(),A=null,z=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=j.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=j[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(R[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),g=t(\"gl-mat4/perspective\"),v=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":220,\"3d-view-controls\":36,\"a-big-triangle\":39,\"gl-axes3d\":148,\"gl-axes3d/properties\":155,\"gl-fbo\":164,\"gl-mat4/perspective\":184,\"gl-select-static\":254,\"gl-spikes3d\":264,\"is-mobile\":296,\"mouse-change\":452}],222:[function(t,e,r){r.pointVertex=\"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=\"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=\"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=\"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\"},{}],223:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":224,\"./lib/create-attributes\":225,\"./lib/create-uniforms\":226,\"./lib/reflect\":227,\"./lib/runtime-reflect\":228,\"./lib/shader-cache\":229,dup:212}],224:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],225:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\n",
       "\"./GLError\":224,dup:214}],226:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":224,\"./reflect\":227,dup:215}],227:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],228:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],229:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":224,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],230:[function(t,e,r){\"use strict\";function n(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}function i(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}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.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\":222,\"gl-buffer\":156,\"gl-shader\":223,\"typedarray-pool\":541}],231:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],g=r[3];return a=u*d+c*p+h*m+f*g,a<0&&(a=-a,d=-d,p=-p,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),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*g,t}e.exports=n},{}],232:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat gamma = .0045 * charsStep / pointSize;\\n\\n    //null-border case\\n \\tif (borderWidth * borderColor.a == 0.) {\\n\\t\\tfloat charAmt = smoothstep(.748 - gamma, .748 + gamma, dist);\\n\\t\\tgl_FragColor = vec4(charColor.rgb, charAmt*charColor.a);\\n\\t\\treturn;\\n\\t}\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],233:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],234:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":235,\"./lib/create-attributes\":236,\"./lib/create-uniforms\":237,\"./lib/reflect\":238,\"./lib/runtime-reflect\":239,\"./lib/shader-cache\":240,dup:212}],235:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],236:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":235,dup:214}],237:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":235,\"./reflect\":238,dup:215}],238:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],239:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],240:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":235,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],241:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function 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if(!c(it,P,O,R,F,r,n,d))for(;;){if(c(S,P,O,R,F,r,n,d)){c(S,L,C,I,z,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,I,z,D,r,n,d,p),l(e,S+1,P,O,R,F,j,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],242:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var g=i+p*h,v=a+m*h,y=n(t,e,f,u,g,v,g+h,v+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(g,v,h,f,b,c+1),f=b}l(g,v,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],g=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,g),d=Math.max(d,g),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var v=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*v,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":241,\"typedarray-pool\":541}],243:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=m(this.plot.gl,this.charCanvas),this.charStep=400,this.charFit=.255,this.snapThreshold=1e4,this.paletteTexture=m(this.plot.gl,[256,1])}function i(){var t=this.plot,e=t.viewBox,r=t.dataBox,n=t.pixelRatio,i=r[2]-r[0],a=r[3]-r[1],u=2/i,c=2/a,h=-r[0]-.5*i,f=-r[1]-.5*a;_[0]=u,w[0]=u-_[0],_[1]=c,w[1]=c-_[1],M[0]=h,k[0]=h-M[0],M[1]=f,k[1]=f-M[1];var d=e[2]-e[0],p=e[3]-e[1];o=Math.min(i/d,a/p),A[0]=2*n/d,A[1]=2*n/p,s=r[0],l=r[2]}function a(t,e){var r=t.gl,i=u(r,f.vertex,f.fragment),a=u(r,f.pickVertex,f.pickFragment),o=c(r),s=c(r),l=c(r),h=c(r),d=c(r),p=new n(t,i,a,o,s,l,h,d);return p.update(e),t.addObject(p),p}e.exports=a;var o,s,l,u=t(\"gl-shader\"),c=t(\"gl-buffer\"),h=t(\"typedarray-pool\"),f=t(\"./lib/shaders\"),d=t(\"snap-points-2d\"),p=t(\"font-atlas-sdf\"),m=t(\"gl-texture2d\"),g=t(\"color-id\"),v=t(\"ndarray\"),y=t(\"clamp\"),b=t(\"binary-search-bounds\"),x=n.prototype,_=new Float32Array([0,0]),w=new Float32Array([0,0]),M=new Float32Array([0,0]),k=new Float32Array([0,0]),A=[0,0],T=[0,0,0,0];x.drawPick=function(t){var e=void 0!==t,r=this.plot,n=this.pointCount,a=n>this.snapThreshold;if(!n)return t;i.call(this);var u=r.gl,c=e?this.pickShader:this.shader,h=u.isEnabled(u.BLEND);if(c.bind(),e){this.pickOffset=t;for(var f=0;f<4;++f)T[f]=t>>8*f&255;c.uniforms.pickOffset=T,this.idBuffer.bind(),c.attributes.id.pointer(u.UNSIGNED_BYTE,!1)}else u.blendFuncSeparate(u.SRC_ALPHA,u.ONE_MINUS_SRC_ALPHA,u.ONE,u.ONE_MINUS_SRC_ALPHA),u.blendColor(0,0,0,1),h||u.enable(u.BLEND),this.colorBuffer.bind(),c.attributes.color.pointer(u.UNSIGNED_BYTE,!1),this.charBuffer.bind(),c.attributes.char.pointer(u.UNSIGNED_BYTE,!1),c.uniforms.chars=this.charTexture.bind(0),c.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],c.uniforms.charsStep=this.charStep,c.uniforms.palette=this.paletteTexture.bind(1);this.sizeBuffer.bind(),c.attributes.size.pointer(u.FLOAT,!1,8,0),e||c.attributes.border.pointer(u.FLOAT,!1,8,4),this.positionBuffer.bind(),c.attributes.positionHi.pointer(u.FLOAT,!1,16,0),c.attributes.positionLo.pointer(u.FLOAT,!1,16,8),c.uniforms.pixelRatio=r.pixelRatio,c.uniforms.scaleHi=_,c.uniforms.scaleLo=w,c.uniforms.translateHi=M,c.uniforms.translateLo=k,c.uniforms.viewBox=r.viewBox;var d=this.scales;if(a)for(var p=d.length-1;p>=0;p--){var m=d[p];if(!(m.pixelSize&&m.pixelSize<1.25*o&&p>1)){var g=m.offset,v=m.count+g,y=b.ge(this.xCoords,s,g,v-1),x=b.lt(this.xCoords,l,y,v-1)+1;x>y&&u.drawArrays(u.POINTS,y,x-y)}}else u.drawArrays(u.POINTS,0,n);if(e)return t+n;h?u.blendFunc(u.ONE,u.ONE_MINUS_SRC_ALPHA):u.disable(u.BLEND)},x.draw=x.drawPick,x.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]]}},x.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],s=this.plot.gl,l=this.pointCount,u=l>this.snapThreshold;if(null!=t.positions){this.points=e,l=this.points.length/2,u=l>this.snapThreshold;var c=h.mallocFloat32(2*l),f=h.mallocFloat64(2*l),m=h.mallocUint32(l),b=h.mallocFloat32(4*l);f.set(this.points),u&&(this.i2idx&&h.free(this.i2idx),this.i2idx=h.mallocInt32(l),this.scales=d(f,this.i2idx,c)),this.pointCount=l;for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x;m[x]=_;var w=e[2*_],M=e[2*_+1];b[4*x]=w,b[4*x+1]=M,b[4*x+2]=w-b[4*x],b[4*x+3]=M-b[4*x+1],this.xCoords[x]=w}this.idBuffer.update(m),this.positionBuffer.update(b),h.free(b),h.free(m),h.free(f),h.free(c)}for(var k=h.mallocFloat32(2*l),A=h.mallocUint8(2*l),T=h.mallocUint8(2*l),S={},E=[],L=[],C=[],x=0,I=l,z=0;x<I;++x){var D=[255*r[4*x],255*r[4*x+1],255*r[4*x+2],255*r[4*x+3]],P=g(D,!1);null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),E.push(P),o&&o.length&&(D=[255*o[4*x],255*o[4*x+1],255*o[4*x+2],255*o[4*x+3]],P=g(D,!1),null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),C.push(P))}for(var O={},x=0,I=l,z=0;x<I;x++){var R=n[x];null==O[R]&&(O[R]=z++)}for(var F=0,x=0,I=i.length;x<I;++x)i[x]>F&&(F=i[x]);var j=this.charStep;this.charStep=y(Math.ceil(4*F),128,768);var N=Object.keys(O),B=this.charStep,U=Math.floor(B/2),V=s.getParameter(s.MAX_TEXTURE_SIZE),H=V/B*(V/B),q=Math.min(V,B*N.length),G=Math.min(V,B*Math.ceil(B*N.length/V)),Y=Math.floor(q/B);N.length>H&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==N+\"\"&&this.charStep==j||(this.charCanvas=p({canvas:this.charCanvas,family:\"sans-serif\",size:U,shape:[q,G],step:[B,B],chars:N,align:!0,fit:this.charFit}),this.chars=N);for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x,W=i[_],X=a[_];k[2*x]=2*W,k[2*x+1]=X;var P=E[_],Z=S[P];A[2*x]=Z;var J=C[_],K=S[J];A[2*x+1]=K;var R=n[_],Q=O[R];T[2*x+1]=Math.floor(Q/Y),T[2*x]=Q%Y}this.sizeBuffer.update(k),this.colorBuffer.update(A),this.charBuffer.update(T),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(v(L.slice(0,1024),[256,1,4])),h.free(k),h.free(A),h.free(T)},x.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":232,\"binary-search-bounds\":233,clamp:88,\"color-id\":92,\"font-atlas-sdf\":134,\"gl-buffer\":156,\"gl-shader\":234,\"gl-texture2d\":267,ndarray:467,\"snap-points-2d\":242,\"typedarray-pool\":541}],244:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\\n\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\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  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"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}\"},{}],245:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],246:[function(t,e,r){arguments[4][241][0].apply(r,arguments)},{dup:241}],247:[function(t,e,r){arguments[4][242][0].apply(r,arguments)},{\"./lib/sort\":246,dup:242,\"typedarray-pool\":541}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null,this.snapPoints=!0}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\"),h=t(\"array-normalize\"),f=t(\"array-bounds\");e.exports=i;var d=n.prototype,p=new Float32Array(2),m=new Float32Array(2),g=new Float32Array(2),v=new Float32Array(2),y=[0,0,0,0];d.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},d.update=function(t){function e(e,r){return e in t?t[e]:r}if(t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.snapPoints=e(\"snapPoints\",!0),null!=t.positions){this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(r),a=u.mallocFloat64(2*r);if(a.set(this.points),this.snapPoints)this.scales=l(a,n,i,this.bounds);else{this.bounds=f(a,2),h(a,2,this.bounds);for(var o=0;o<r;o++)n[o]=o,i[o]=1}var s=u.mallocFloat64(r),c=u.mallocFloat32(2*r),d=u.mallocFloat32(2*r);c.set(a);for(var o=0,p=0;o<r;o++,p+=2)d[p]=a[p]-c[p],d[p+1]=a[p+1]-c[p+1],s[o]=a[p];this.positionBufferHi.update(c),this.positionBufferLo.update(d),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(c),u.free(d),u.free(i),u.free(a),u.free(n),this.xCoords=s,this.pointCount=r,this.pickOffset=0}},d.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,s=this.pickBuffer,l=this.bounds,u=this.size,c=this.borderSize,h=r.gl,f=e?r.pickPixelRatio:r.pixelRatio,d=r.viewBox,b=r.dataBox;if(0===this.pointCount)return t;var x=l[2]-l[0],_=l[3]-l[1],w=b[2]-b[0],M=b[3]-b[1],k=(d[2]-d[0])*f/r.pixelRatio,A=(d[3]-d[1])*f/r.pixelRatio,T=this.pixelSize=Math.min(w/k,M/A),S=2*x/w,E=2*_/M;p[0]=S,p[1]=E,m[0]=S-p[0],m[1]=E-p[1];var L=(l[0]-b[0]-.5*w)/x,C=(l[1]-b[1]-.5*M)/_;g[0]=L,g[1]=C,v[0]=L-g[0],v[1]=C-g[1],n.bind(),n.uniforms.scaleHi=p,n.uniforms.scaleLo=m,n.uniforms.translateHi=g,n.uniforms.translateLo=v,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=f*(u+c),n.uniforms.centerFraction=0===this.borderSize?2:u/(u+c+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,y[0]=255&t,y[1]=t>>8&255,y[2]=t>>16&255,y[3]=t>>24&255,n.uniforms.pickOffset=y,s.bind(),n.attributes.pickId.pointer(h.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());var I=!0;if(this.snapPoints)for(var z=i.length-1;z>=0;z--){var D=i[z];if(!(D.pixelSize<T&&z>1)){var P=this.getVisibleRange(D),O=P[0],R=P[1];R>O&&h.drawArrays(h.POINTS,O,R-O),!e&&I&&(I=!1,n.uniforms.useWeight=0)}}else h.drawArrays(h.POINTS,0,this.pointCount);return t+this.pointCount},d.getVisibleRange=function(t){var e=this.plot.dataBox,r=this.bounds,n=this.pixelSize,i=this.size,a=this.plot.pixelRatio,o=r[2]-r[0];r[3],r[1];if(!t)for(var t,l=this.scales.length-1;l>=0&&(t=this.scales[l],t.pixelSize<n&&l>1);l--);var u=this.xCoords,c=(e[0]-r[0]-n*i*a)/o,h=(e[2]-r[0]+n*i*a)/o,f=t.offset,d=t.count+f,p=s.ge(u,c,f,d-1);return[p,s.lt(u,h,p,d-1)+1]},d.drawPick=d.draw,d.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":244,\"array-bounds\":44,\"array-normalize\":45,\"binary-search-bounds\":245,\"gl-buffer\":156,\"gl-shader\":255,\"snap-points-2d\":247,\"typedarray-pool\":541}],249:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":554}],250:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\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(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\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=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\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=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\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=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,g)}},{\"gl-shader\":255}],251:[function(t,e,r){\"use strict\";function n(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 i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(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}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,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}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,g=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=g,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,\n",
       "d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],v(L,p,L),d.model=L;var I=(_+1)%3,z=(_+2)%3,D=s(M),P=s(k);D[I]=1,P[z]=1;var O=i(g,m,p,l(A,D)),R=i(g,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(R[1])){var F=O;O=R,R=F,F=D,D=P,P=F;var j=I;I=z,z=j}O[0]<0&&(D[I]=-1),R[1]>0&&(P[z]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*I+C],2),B+=Math.pow(p[4*z+C],2);D[I]/=Math.sqrt(N),P[z]/=Math.sqrt(B),d.axes[0]=D,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=z,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),g=new o(e,r,n,i,u,c,h,f,d,a,s,l);return g.update(t),g}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"typedarray-pool\"),v=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],I=[1e8,1e8,1e8],z=[C,I];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.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},_.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]},_.update=function(t){if(t=t||{},\"perspective\"in 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(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,v=n.length;t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=g.mallocFloat(3*T),E=g.mallocFloat(4*T),L=g.mallocFloat(2*T),C=g.mallocUint32(T),I=[0,a[1]],z=0,D=p,P=[0,0,0,1],O=[0,0,0,1],R=Array.isArray(u)&&Array.isArray(u[0]),F=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var j;if(j=R?u[y]:u,3===j.length){for(var _=0;_<3;++_)P[_]=j[_];P[3]=1}else if(4===j.length)for(var _=0;_<4;++_)P[_]=j[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var j;if(j=F?f[y]:f,3===j.length){for(var _=0;_<3;++_)O[_]=j[_];O[_]=1}else if(4===j.length)for(var _=0;_<4;++_)O[_]=j[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?I[0]=a[0]*(1+A[1][0]):a[0]>0&&(I[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*z+W]=x[W];for(var W=0;W<4;++W)E[4*z+W]=P[W];C[z]=d;var X=q[G[Y]];L[2*z]=N*(U*X[0]-V*X[1]+I[0]),L[2*z+1]=N*(V*X[0]+U*X[1]+I[1]),z+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=O[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+I[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+I[1]),D+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new 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n(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}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.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,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var 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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)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_49_arg0_<255||_inline_49_arg1_<255||_inline_49_arg2_<255||_inline_49_arg3_<255){var 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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){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.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))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return 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o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){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},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,v),n=n||c.attributes(p,v),p.deleteProgram(v)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":256,\"./lib/create-attributes\":257,\"./lib/create-uniforms\":258,\"./lib/reflect\":259,\"./lib/runtime-reflect\":260,\"./lib/shader-cache\":261}],256:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],257:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":256,dup:214}],258:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":256,\"./reflect\":259,dup:215}],259:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],260:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],261:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":256,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],262:[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]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.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()},a.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]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],263:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":255}],264:[function(t,e,r){\"use strict\";function n(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}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(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}]),c=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.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))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":263,\"gl-buffer\":156,\"gl-vao\":271}],265:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\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  worldCoordinate = vec3(uv.zw, f.x);\\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\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\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 (kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\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_1_1(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 = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + 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\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\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  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\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\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    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,i,a,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,i,s,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,o,a,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,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":255}],266:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:R,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,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=[_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0]),_(v.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.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}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||j,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=N.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],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||D,n.view=t.view||D,n.projection=t.projection||D,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.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-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=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){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=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.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=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.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))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(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 h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=I(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:z,offset:0},{buffer:s,size:3,stride:z,offset:16},{buffer:s,size:3,stride:z,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=g(e,1,R,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var v=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",v.update(y),v}e.exports=f\n",
       ";var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"gl-texture2d\"),v=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,I=S.createPickContourShader,z=40,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var R=256,F=a.prototype;F.isTransparent=function(){return this.opacity<1},F.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},F.pickSlots=1,F.setPickBase=function(t){this.pickId=t};var j=[0,0,0],N={showSurface:!1,showContour:!1,projections:[D.slice(),D.slice(),D.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:D,view:D,projection:D,inverseModel:D.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,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=D.slice(),V=[1,0,0,0,1,0,0,0,1];F.draw=function(t){return s.call(this,t,!1)},F.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:D,view:D,projection:D,inverseModel:D,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};F.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||D,r.view=t.view||D,r.projection=t.projection||D,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;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 s=o(r,this);if(s.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=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},F.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 u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,g=h*d,v=0;v<3;++v)u[v]+=this._field[v].get(p,m)*g;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=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},F.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);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 n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(v.freeFloat(this._field[2].data),this._field[2].data=v.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(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&&(v.freeFloat(this._field[o].data),this._field[o].data=v.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(v.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(v.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),I=S*C-E*L,z=L*A-C*k,D=k*E-A*S,O=Math.sqrt(I*I+z*z+D*D);O<1e-8?(O=Math.max(Math.abs(I),Math.abs(z),Math.abs(D)),O<1e-8?(D=1,z=I=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,I*O),M.set(o,y,1,z*O),M.set(o,y,2,D*O)}v.free(x.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],j=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=v.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),K=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var Q=W;I=M.get(X+1,Z+1,0),z=M.get(X+1,Z+1,1),D=M.get(X+1,Z+1,2),t.intensity&&(Q=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=K,U[V++]=W,U[V++]=0,U[V++]=Q,U[V++]=I,U[V++]=z,U[V++]=D,R[0]=Math.min(R[0],J),R[1]=Math.min(R[1],K),R[2]=Math.min(R[2],W),j=Math.min(j,Q),F[0]=Math.max(F[0],J),F[1]=Math.max(F[1],K),F[2]=Math.max(F[2],W),N=Math.max(N,Q),H+=1}}for(t.intensityBounds&&(j=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-j)/(N-j);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),v.freeFloat(U),v.free(M.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[j,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var gt=(et+mt+1)%3;for(q=0;q<2;++q){var vt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[gt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=vt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=v.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),v.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},F.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)v.freeFloat(this._field[t].data)},F.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,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=v.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],g=0;g<2;++g){var y=p[m[g]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,I=k*E,z=M*L,D=M*E,P=C*c.get(x,T)+I*c.get(x,S)+z*c.get(_,T)+D*c.get(_,S),O=C*h.get(x,T)+I*h.get(x,S)+z*h.get(_,T)+D*h.get(_,S);if(isNaN(P)||isNaN(O)){g&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,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)),v.freeFloat(a)}}},{\"./lib/shaders\":265,\"binary-search-bounds\":66,\"bit-twiddle\":67,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,\"ndarray-gradient\":458,\"ndarray-ops\":461,\"ndarray-pack\":462,\"surface-nets\":531,\"typedarray-pool\":541}],267:[function(t,e,r){\"use strict\";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(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}function a(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 o(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}function s(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 l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var v=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===v?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+v));else{var b;b=a===t.FLOAT?g.mallocFloat32(v):g.mallocUint8(v);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,v)),a===t.FLOAT?g.freeFloat32(b):g.freeUint8(b)}}function u(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 c(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 s=u(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new o(t,s,e,r,n,i)}function h(t,e,r,n,i,a){var s=u(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new o(t,s,r,n,i,a)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error(\"gl-texture2d: Invalid texture size\");var a=s(n,e.stride.slice()),l=0;\"float32\"===r?l=t.FLOAT:\"float64\"===r?(l=t.FLOAT,a=!1,r=\"float32\"):\"uint8\"===r?l=t.UNSIGNED_BYTE:(l=t.UNSIGNED_BYTE,a=!1,r=\"uint8\");var c=0;if(2===n.length)c=t.LUMINANCE,n=[n[0],n[1],1],e=p(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===n[2])c=t.ALPHA;else if(2===n[2])c=t.LUMINANCE_ALPHA;else if(3===n[2])c=t.RGB;else{if(4!==n[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");c=t.RGBA}}l!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(l=t.UNSIGNED_BYTE,a=!1);var h,f,d=e.size;if(a)h=0===e.offset&&e.data.length===d?e.data:e.data.subarray(e.offset,e.offset+d);else{var v=[n[2],n[2]*n[0],1];f=g.malloc(d,r);var y=p(f,n,v,0);\"float32\"!==r&&\"float64\"!==r||l!==t.UNSIGNED_BYTE?m.assign(y,e):x(y,e),h=f.subarray(0,d)}var b=u(t);return t.texImage2D(t.TEXTURE_2D,0,c,n[0],n[1],0,c,l,h),a||g.free(f),new o(t,b,n[0],n[1],c,l)}function 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n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"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\":284}],284:[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\",\"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\"]},{}],285:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],286:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":280}],287:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)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}e.exports=n;var i=3;n.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)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a 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Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],288:[function(t,e,r){(function(r){\"use strict\";var n,i=t(\"is-browser\");n=\"function\"==typeof r.matchMedia?!r.matchMedia(\"(hover: none)\").matches:i,e.exports=n}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"is-browser\":294}],289:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?NaN:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=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=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],290:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.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,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var g=0;g<=o;++g)if(g!==m){var v=p[g];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,v.boundary=!1,u.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var w=v.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=v,M[g]=-1,k[g]=e,p[g]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var I=M[C];I<0||C===x||(E[L++]=I)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var g=0;g+1<f.length;g+=2){var z=f[g],D=f[g+1],P=z.index,O=D.index;P<0||O<0||(z.cell.adjacent[z.index]=D.cell,D.cell.adjacent[D.index]=z.cell)}},f.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)}},f.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,u=0,c=0;c<=t;++c)s[c]>=0?o[l++]=s[c]:u=1&c;if(u===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":508,\"simplicial-complex\":519}],291:[function(t,e,r){\"use strict\";function n(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}function i(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 a(t,e){var r=p(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 o(t,e){var r=t.intervals([]);r.push(e),a(t,r)}function s(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?y:(r.splice(n,1),a(t,r),b)}function l(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 u(t,e,r){for(var 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 gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{\n",
       "fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return mix(value2, value3, t - 2.0);\\n    }\\n}\\n\"},{path:476}],304:[function(t,e,r){\"use strict\";function n(t,e){this.message=(t?t+\": \":\"\")+i.apply(i,Array.prototype.slice.call(arguments,2)),null!==e&&void 0!==e&&e.__line__&&(this.line=e.__line__)}var i=t(\"util\").format;e.exports=n},{util:549}],305:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1;e<arguments.length;e++){var r=arguments[e];for(var n in r)t[n]=r[n]}return t}},{}],306:[function(t,e,r){\"use strict\";e.exports=function(t){return t instanceof Number?\"number\":t instanceof String?\"string\":t instanceof Boolean?\"boolean\":Array.isArray(t)?\"array\":null===t?\"null\":typeof t}},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t){return t instanceof Number||t instanceof String||t instanceof Boolean?t.valueOf():t}},{}],308:[function(t,e,r){\"use strict\";var n=t(\"../error/validation_error\"),i=t(\"../util/get_type\"),a=t(\"../util/extend\");e.exports=function(e){var 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h=2;h<s.length;h++)r=a(s[h]),\"$type\"==s[1]?c=c.concat(i({key:l+\"[\"+h+\"]\",value:s[h],valueSpec:u.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"===r&&\"@\"===s[h][0]?c.push(new n(l+\"[\"+h+\"]\",s[h],\"filter value cannot be a constant\")):\"string\"!==r&&\"number\"!==r&&\"boolean\"!==r&&c.push(new n(l+\"[\"+h+\"]\",s[h],\"string, number, or boolean expected, %s found\",r));break;case\"any\":case\"all\":case\"none\":for(h=1;h<s.length;h++)c=c.concat(t({key:l+\"[\"+h+\"]\",value:s[h],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":r=a(s[1]),2!==s.length?c.push(new n(l,s,'filter array for \"%s\" operator must have 2 elements',s[0])):\"string\"!==r?c.push(new n(l+\"[1]\",s[1],\"string expected, %s found\",r)):\"@\"===s[1][0]&&c.push(new n(l+\"[1]\",s[1],\"filter key cannot be a constant\"))}return c}},{\"../error/validation_error\":304,\"../util/get_type\":306,\n",
       "\"../util/unbundle_jsonlint\":307,\"./validate_enum\":313}],315:[function(t,e,r){\"use strict\";var n=t(\"../error/validation_error\"),i=t(\"../util/get_type\"),a=t(\"./validate\"),o=t(\"./validate_object\"),s=t(\"./validate_array\"),l=t(\"./validate_number\");e.exports=function(t){function e(t){var e=[],a=t.value;return e=e.concat(s({key:t.key,value:a,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:r})),\"array\"===i(a)&&0===a.length&&e.push(new n(t.key,a,\"array must have at least one stop\")),e}function r(t){var e=[],r=t.value,s=t.key;if(\"array\"!==i(r))return[new n(s,r,\"array expected, %s found\",i(r))];if(2!==r.length)return[new n(s,r,\"array length %d expected, length %d found\",2,r.length)];var f=i(r[0]);if(c||(c=f),f!==c)return[new n(s,r,\"%s stop key type must match previous stop key type %s\",f,c)];if(\"object\"===f){if(void 0===r[0].zoom)return[new n(s,r,\"object stop key must have zoom\")];if(void 0===r[0].value)return[new 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e=this.arrayGroups[t],r=0;r<e.length;r++)if(!e[r].isEmpty())return!1;return!0},n.prototype.getTransferables=function(t){for(var e in this.arrayGroups)for(var r=this.arrayGroups[e],n=0;n<r.length;n++)r[n].getTransferables(t)},n.prototype.setUniforms=function(t,e,r,n,i){for(var a=this.paintAttributes[e][n.id].uniforms,o=0;o<a.length;o++){var s=a[o],l=r[s.name];t[\"uniform\"+s.components+\"fv\"](l,s.getValue(n,i))}},n.prototype.serialize=function(){return{layerId:this.layer.id,zoom:this.zoom,arrays:c.mapObject(this.arrayGroups,function(t){return t.map(function(t){return t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),g=p.multiplier||1,v=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<v;_++){var w=v>1?p.name+_:p.name;x[w]=m[_]*g}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":440,\"../util/util\":442,\"./array_group\":328,\"./bucket/circle_bucket\":330,\"./bucket/fill_bucket\":331,\"./bucket/line_bucket\":332,\"./bucket/symbol_bucket\":333,\"./buffer_group\":335,assert:47,\"feature-filter\":132}],330:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],331:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":430,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,earcut:126}],332:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,g,v,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],g=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){g&&(m=g),f&&(d=f),f=t[w],g=p?p.sub(f)._unit()._perp():m,m=m||g;var M=m.add(g)._unit(),k=M.x*g.x+M.y*g.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=g.clone();else{var I=m.x*g.y-m.y*g.x>0?-1:1,z=A*m.add(g).mag()/m.sub(g).mag();M._perp()._mult(z*I)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var D=m.x*g.y-m.y*g.x>0,P=-Math.sqrt(A*A-1);if(D?(y=0,v=P):(v=0,y=P),_||this.addCurrentVertex(f,this.distance,m,v,y,!1),\"fakeround\"===C){for(var O,R=Math.floor(8*(.5-(k-.5))),F=0;F<R;F++)O=g.mult((F+1)/(R+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,D);this.addPieSliceVertex(f,this.distance,M,D);for(var j=R-1;j>=0;j--)O=m.mult((j+1)/(R+1))._add(g)._unit(),this.addPieSliceVertex(f,this.distance,O,D)}p&&this.addCurrentVertex(f,this.distance,g,-v,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,g,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,g,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,g,-1,-1,!0),this.addCurrentVertex(f,this.distance,g,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,g.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],333:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),g=t(\"../load_geometry\"),v=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,v=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(g(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,v,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,g=i[\"icon-padding\"]*this.tilePixelRatio,v=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,v,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var I=C||x;this.addSymbolInstance(L,T,e,r,this.layer,I,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,g,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),g=r[\"text-optional\"]||!p,v=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;g||v?!v&&y?y=Math.max(b,y):!g&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var g=p.tl,v=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,g.x,g.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,v.x,v.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),g=new a(h.x2,h.y2*i)._rotate(n),v=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,d,v,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,g,y,b,w,M){var k,A,T,S,E,L,C,I;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new v(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var z=0;z<C.length;z++)this.addSymbolQuad(C[z]);A=this.symbolQuadsArray.length;var D=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(I=o?_(t,i,g,e,a,b,r,w,M):[],L=new v(l,e,t,u,c,h,i,g,y,b,!0)),T=this.symbolQuadsArray.length,I&&1===I.length&&this.addSymbolQuad(I[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,R=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(D,P,O,R,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":391,\"../../symbol/clip_line\":393,\"../../symbol/collision_feature\":395,\"../../symbol/get_anchors\":397,\"../../symbol/mergelines\":400,\"../../symbol/quads\":401,\"../../symbol/resolve_text\":402,\"../../symbol/shaping\":403,\"../../util/token\":441,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,\"point-geometry\":484}],334:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],335:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":357,\"../util/util\":442,\"./buffer\":334}],336:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),g=t(\"vector-tile\"),v=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new g.VectorTile(new v(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var g=r.get(m),v=this.bucketLayerIDs[g.bucketIndex];if(!a||b(a,v)){var x=this.sourceLayerCoder.decode(g.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(g.featureIndex);if(i(A))for(var T=null,S=0;S<v.length;S++){var E=v[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var I=L.paint;if(\"line\"===L.type){C=s(n,I[\"line-translate\"],I[\"line-translate-anchor\"],h,f);var z=o(I)/2*f;if(I[\"line-offset\"]&&(T=l(T,I[\"line-offset\"]*f)),!M(C,T,z))continue}else if(\"fill\"===L.type){if(C=s(n,I[\"fill-translate\"],I[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,I[\"circle-translate\"],I[\"circle-translate-anchor\"],h,f);var D=I[\"circle-radius\"]*f;if(!_(C,T,D))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":432,\"../util/intersection_tests\":437,\"../util/struct_array\":440,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"./bucket\":329,\"./load_geometry\":337,\"feature-filter\":132,\"grid-index\":287,pbf:478,\"point-geometry\":484,\"vector-tile\":550}],337:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":442,\"./bucket\":329,assert:47}],338:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],339:[function(t,e,r){\"use strict\";function n(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\")}e.exports=n\n",
       ";var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":442}],340:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":339}],341:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(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._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":329,\"../source/tile_coord\":369,\"../util/interpolate\":436,\"../util/util\":442,\"./coordinate\":338,\"./lng_lat\":339,\"gl-matrix\":193,\"point-geometry\":484}],342:[function(t,e,r){\"use strict\";var n={\" \":[16,[]],\"!\":[10,[5,21,5,7,-1,-1,5,2,4,1,5,0,6,1,5,2]],'\"':[16,[4,21,4,14,-1,-1,12,21,12,14]],\"#\":[21,[11,25,4,-7,-1,-1,17,25,10,-7,-1,-1,4,12,18,12,-1,-1,3,6,17,6]],$:[20,[8,25,8,-4,-1,-1,12,25,12,-4,-1,-1,17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],\"%\":[24,[21,21,3,0,-1,-1,8,21,10,19,10,17,9,15,7,14,5,14,3,16,3,18,4,20,6,21,8,21,10,20,13,19,16,19,19,20,21,21,-1,-1,17,7,15,6,14,4,14,2,16,0,18,0,20,1,21,3,21,5,19,7,17,7]],\"&\":[26,[23,12,23,13,22,14,21,14,20,13,19,11,17,6,15,3,13,1,11,0,7,0,5,1,4,2,3,4,3,6,4,8,5,9,12,13,13,14,14,16,14,18,13,20,11,21,9,20,8,18,8,16,9,13,11,10,16,3,18,1,20,0,22,0,23,1,23,2]],\"'\":[10,[5,19,4,20,5,21,6,20,6,18,5,16,4,15]],\"(\":[14,[11,25,9,23,7,20,5,16,4,11,4,7,5,2,7,-2,9,-5,11,-7]],\")\":[14,[3,25,5,23,7,20,9,16,10,11,10,7,9,2,7,-2,5,-5,3,-7]],\"*\":[16,[8,21,8,9,-1,-1,3,18,13,12,-1,-1,13,18,3,12]],\"+\":[26,[13,18,13,0,-1,-1,4,9,22,9]],\",\":[10,[6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"-\":[26,[4,9,22,9]],\".\":[10,[5,2,4,1,5,0,6,1,5,2]],\"/\":[22,[20,25,2,-7]],0:[20,[9,21,6,20,4,17,3,12,3,9,4,4,6,1,9,0,11,0,14,1,16,4,17,9,17,12,16,17,14,20,11,21,9,21]],1:[20,[6,17,8,18,11,21,11,0]],2:[20,[4,16,4,17,5,19,6,20,8,21,12,21,14,20,15,19,16,17,16,15,15,13,13,10,3,0,17,0]],3:[20,[5,21,16,21,10,13,13,13,15,12,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],4:[20,[13,21,3,7,18,7,-1,-1,13,21,13,0]],5:[20,[15,21,5,21,4,12,5,13,8,14,11,14,14,13,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],6:[20,[16,18,15,20,12,21,10,21,7,20,5,17,4,12,4,7,5,3,7,1,10,0,11,0,14,1,16,3,17,6,17,7,16,10,14,12,11,13,10,13,7,12,5,10,4,7]],7:[20,[17,21,7,0,-1,-1,3,21,17,21]],8:[20,[8,21,5,20,4,18,4,16,5,14,7,13,11,12,14,11,16,9,17,7,17,4,16,2,15,1,12,0,8,0,5,1,4,2,3,4,3,7,4,9,6,11,9,12,13,13,15,14,16,16,16,18,15,20,12,21,8,21]],9:[20,[16,14,15,11,13,9,10,8,9,8,6,9,4,11,3,14,3,15,4,18,6,20,9,21,10,21,13,20,15,18,16,14,16,9,15,4,13,1,10,0,8,0,5,1,4,3]],\":\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,5,2,4,1,5,0,6,1,5,2]],\";\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"<\":[24,[20,18,4,9,20,0]],\"=\":[26,[4,12,22,12,-1,-1,4,6,22,6]],\">\":[24,[4,18,20,9,4,0]],\"?\":[18,[3,16,3,17,4,19,5,20,7,21,11,21,13,20,14,19,15,17,15,15,14,13,13,12,9,10,9,7,-1,-1,9,2,8,1,9,0,10,1,9,2]],\"@\":[27,[18,13,17,15,15,16,12,16,10,15,9,14,8,11,8,8,9,6,11,5,14,5,16,6,17,8,-1,-1,12,16,10,14,9,11,9,8,10,6,11,5,-1,-1,18,16,17,8,17,6,19,5,21,5,23,7,24,10,24,12,23,15,22,17,20,19,18,20,15,21,12,21,9,20,7,19,5,17,4,15,3,12,3,9,4,6,5,4,7,2,9,1,12,0,15,0,18,1,20,2,21,3,-1,-1,19,16,18,8,18,6,19,5]],A:[18,[9,21,1,0,-1,-1,9,21,17,0,-1,-1,4,7,14,7]],B:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,-1,-1,4,11,13,11,16,10,17,9,18,7,18,4,17,2,16,1,13,0,4,0]],C:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5]],D:[21,[4,21,4,0,-1,-1,4,21,11,21,14,20,16,18,17,16,18,13,18,8,17,5,16,3,14,1,11,0,4,0]],E:[19,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11,-1,-1,4,0,17,0]],F:[18,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11]],G:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,18,8,-1,-1,13,8,18,8]],H:[22,[4,21,4,0,-1,-1,18,21,18,0,-1,-1,4,11,18,11]],I:[8,[4,21,4,0]],J:[16,[12,21,12,5,11,2,10,1,8,0,6,0,4,1,3,2,2,5,2,7]],K:[21,[4,21,4,0,-1,-1,18,21,4,7,-1,-1,9,12,18,0]],L:[17,[4,21,4,0,-1,-1,4,0,16,0]],M:[24,[4,21,4,0,-1,-1,4,21,12,0,-1,-1,20,21,12,0,-1,-1,20,21,20,0]],N:[22,[4,21,4,0,-1,-1,4,21,18,0,-1,-1,18,21,18,0]],O:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21]],P:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,14,17,12,16,11,13,10,4,10]],Q:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21,-1,-1,12,4,18,-2]],R:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,4,11,-1,-1,11,11,18,0]],S:[20,[17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],T:[16,[8,21,8,0,-1,-1,1,21,15,21]],U:[22,[4,21,4,6,5,3,7,1,10,0,12,0,15,1,17,3,18,6,18,21]],V:[18,[1,21,9,0,-1,-1,17,21,9,0]],W:[24,[2,21,7,0,-1,-1,12,21,7,0,-1,-1,12,21,17,0,-1,-1,22,21,17,0]],X:[20,[3,21,17,0,-1,-1,17,21,3,0]],Y:[18,[1,21,9,11,9,0,-1,-1,17,21,9,11]],Z:[20,[17,21,3,0,-1,-1,3,21,17,21,-1,-1,3,0,17,0]],\"[\":[14,[4,25,4,-7,-1,-1,5,25,5,-7,-1,-1,4,25,11,25,-1,-1,4,-7,11,-7]],\"\\\\\":[14,[0,21,14,-3]],\"]\":[14,[9,25,9,-7,-1,-1,10,25,10,-7,-1,-1,3,25,10,25,-1,-1,3,-7,10,-7]],\"^\":[16,[6,15,8,18,10,15,-1,-1,3,12,8,17,13,12,-1,-1,8,17,8,0]],_:[16,[0,-2,16,-2]],\"`\":[10,[6,21,5,20,4,18,4,16,5,15,6,16,5,17]],a:[19,[15,14,15,0,-1,-1,15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],b:[19,[4,21,4,0,-1,-1,4,11,6,13,8,14,11,14,13,13,15,11,16,8,16,6,15,3,13,1,11,0,8,0,6,1,4,3]],c:[18,[15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],d:[19,[15,21,15,0,-1,-1,15,11,13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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)-1===u[1][s]&&-1===u[1][s+1]?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],343:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":444,\"./geo/lng_lat\":339,\"./geo/lng_lat_bounds\":340,\"./style/style\":378,\"./ui/control/attribution\":409,\"./ui/control/control\":410,\"./ui/control/geolocate\":411,\"./ui/control/navigation\":412,\"./ui/map\":421,\"./ui/marker\":422,\"./ui/popup\":423,\"./util/ajax\":425,\"./util/browser\":426,\"./util/config\":431,\"./util/evented\":434,\"./util/util\":442,\"point-geometry\":484}],344:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2));var a=\"{precision} \"+(1===i.components?\"float\":\"vec\"+i.components);e.define[i.name.slice(2)]=\"uniform \"+a+\" \"+i.name+\";\\n\",e.initialize[i.name.slice(2)]=a+\" \"+i.name.slice(2)+\" = \"+i.name+\";\\n\"}return e}},{assert:47}],345:[function(t,e,r){\"use strict\";function n(t,e,r){var n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),g=0;g<m.length;g++){var v=m[g];if(f&&d){var y={coord:v,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+v.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(v)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":363,\"./create_uniform_pragmas\":344}],346:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":426}],347:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],348:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var g=e.getTile(r).tileSize,v=l/(Math.pow(2,t.transform.zoom-r.z)*g),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[v*x[0],v*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":329,\"../data/buffer\":334,\"../lib/debugtext\":342,\"../util/browser\":426,\"./vertex_array_object\":357,\"gl-matrix\":193}],349:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363}],350:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,g,v,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(g=t.spriteAtlas.getPosition(w.from,!0),v=t.spriteAtlas.getPosition(w.to,!0),!g||!v)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,g.tl),s.uniform2fv(d.u_pattern_br_a,g.br),s.uniform2fv(d.u_pattern_tl_b,v.tl),s.uniform2fv(d.u_pattern_br_b,v.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,I=m.width*_.toScale,z=[1/a(A,C,t.transform.tileZoom),-p.height/2],D=[1/a(A,I,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,I)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,z),s.uniform2fv(d.u_patternscale_b,D),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,g.size[0]*w.fromScale,t.transform.tileZoom),v.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,v.size[0]*w.toScale,t.transform.tileZoom),v.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var R=S[O];R.vaos[r.id].bind(s,d,R.layoutVertexBuffer,R.elementBuffer),s.drawElements(s.TRIANGLES,3*R.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"gl-matrix\":193}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var g=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,g),i.drawArrays(i.TRIANGLE_STRIP,0,g.length)}function a(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]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":440,\"../util/util\":442}],352:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),\n",
       "i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var g=0;g<n.length;g++){var v=e.getTile(n[g]),y=v.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[g]),a(t,r,n[g].posMatrix,v,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,g,v,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===g,C=s?24:1,I=v/C;if(L?(k=l(n,1,t.transform.zoom)*I,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*I,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var z=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(z.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(z.u_rotate_with_map,E),T.uniform1i(z.u_pitch_with_map,L),T.uniform2fv(z.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(z.u_texture,0),s){var D=f&&t.glyphSource.getGlyphAtlas(f);if(!D)return;D.updateTexture(T),T.uniform2f(z.u_texsize,D.width/4,D.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==I||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,R=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||R),T.uniform2f(z.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var F=Math.log(v/h)/Math.LN2||0;T.uniform1f(z.u_zoom,10*(t.transform.zoom-F)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(z.u_fadetexture,1);var j;if(u){var N=.105*C/v/o.devicePixelRatio;if(y){T.uniform1f(z.u_gamma,(1.19*x/I/8+N)*A),T.uniform4fv(z.u_color,b),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,(6-y/I)/8);for(var B=0;B<a.length;B++)j=a[B],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(z.u_gamma,N*A),T.uniform4fv(z.u_color,w),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,.75),T.uniform1f(z.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(z.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(z.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)j=a[U],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(z.u_opacity,_);for(var V=0;V<a.length;V++)j=a[V],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"./draw_collision_debug\":347}],353:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],354:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,g=0;g<this.width;g++){for(;p<g/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var v,y=Math.abs(g-d*s),b=Math.abs(g-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);v=Math.sqrt(x*x+M*M)}else v=l-Math.sqrt(x*x+w*w)}else v=(_?1:-1)*x;this.data[3+4*(f+g)]=Math.max(0,Math.min(255,v+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":442}],355:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var g={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&g.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,g[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":329,\"../data/buffer\":334,\"../source/pixels_to_tile_units\":363,\"../source/source_cache\":367,\"../util/browser\":426,\"../util/struct_array\":440,\"../util/util\":442,\"./create_uniform_pragmas\":344,\"./draw_background\":345,\"./draw_circle\":346,\"./draw_debug\":348,\"./draw_fill\":349,\"./draw_line\":350,\"./draw_raster\":351,\"./draw_symbol\":352,\"./frame_history\":353,\"./painter/use_program\":356,\"./vertex_array_object\":357,\"gl-matrix\":193}],356:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var g={},v=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<v;y++){var b=u.getActiveAttrib(c,y);g[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:g,numAttributes:v},g,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":442,assert:47,\"mapbox-gl-shaders\":303}],357:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:47}],358:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":329,\"../util/evented\":434,\"../util/util\":442,\"resolve-url\":501}],359:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":425,\"../util/util\":442,\"./geojson_wrapper\":360,\"./vector_tile_worker_source\":371,\"geojson-rewind\":138,\"geojson-vt\":142,supercluster:529,\"vt-pbf\":556}],360:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.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]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":329,\"point-geometry\":484,\"vector-tile\":550}],361:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),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.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],362:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/mapbox\":439,\"../util/util\":442}],363:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":329}],364:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":369}],365:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":425,\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],366:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":358,\"../source/image_source\":361,\"../source/raster_tile_source\":365,\"../source/vector_tile_source\":370,\"../source/video_source\":372,\"../util/util\":442}],367:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),g=0;g<m.length;g++){var v=m[g];i=u.fromID(v),a=this._tiles[v],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[v]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped()\n",
       ";if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],g=u.fromID(r[p]),v=[i(g,m.sourceMaxZoom,new h(n,a,l)),i(g,m.sourceMaxZoom,new h(o,s,l))];if(v[0].x<d&&v[0].y<d&&v[1].x>=0&&v[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(g,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:g,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":329,\"../geo/coordinate\":338,\"../util/evented\":434,\"../util/lru_cache\":438,\"../util/util\":442,\"./source\":366,\"./tile\":368,\"./tile_coord\":369}],368:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"feature-filter\":132,pbf:478,\"vector-tile\":550}],369:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=-1*n-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=-1*s-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=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}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":338,assert:47,\"whoots-js\":566}],370:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],371:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":425,\"./worker_tile\":374,pbf:478,\"vector-tile\":550}],372:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],373:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":381,\"../util/actor\":424,\"../util/util\":442,\"./geojson_worker_source\":359,\"./vector_tile_worker_source\":371}],374:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,g){function v(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return g(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,j,F),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r];T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=D.filter(i);g(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},I=0;for(var z in e)w=e[z][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:I++,childLayers:e[z],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&v(w,C[M]);else v(t,L);var D=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var R in L)k=L[R],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),D.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var F={},j={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(F),P[_].updateFont(j);for(var B in j)j[B]=Object.keys(j[B]).map(Number);F=Object.keys(F),r.send(\"get glyphs\",{uid:this.uid,stacks:j},function(t,e){j=e,y(t)}),F.length?r.send(\"get icons\",{icons:F},function(t,e){F=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/dictionary_coder\":432,\"../util/util\":442}],375:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],376:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/evented\":434,\"../util/mapbox\":439}],377:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":442,\"./style_function\":380,csscolorparser:108}],378:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!g.emitErrors(this,g(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),g=t(\"./validate_style\"),v=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&-1===e.vectorLayerIds.indexOf(t.sourceLayer)&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(g.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(g.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(g.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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r=\"color\"===t.type&&this.value?o(this.value):e;if(this.calculate=a[t.function||\"piecewise-constant\"](r),this.isFeatureConstant=this.calculate.isFeatureConstant,this.isZoomConstant=this.calculate.isZoomConstant,\"piecewise-constant\"===t.function&&t.transition&&(this.calculate=i(this.calculate)),!this.isFeatureConstant&&!this.isZoomConstant){this.stopZoomLevels=[];for(var n=[],l=this.value.stops,u=0;u<this.value.stops.length;u++){var c=l[u][0].zoom;this.stopZoomLevels.indexOf(c)<0&&(this.stopZoomLevels.push(c),n.push([c,n.length]))}this.calculateInterpolationT=a.interpolated({stops:n,base:e.base})}}function i(t){return function(e,r){var n,i,a,o=e.zoom,s=e.zoomHistory,l=e.duration,u=o%1,c=Math.min((Date.now()-s.lastIntegerZoomTime)/l,1),h=1;return o>s.lastIntegerZoom?(n=u+(1-u)*c,h*=2,i=t({zoom:o-1},r),a=t({zoom:o},r)):(n=1-(1-c)*u,a=t({zoom:o},r),i=t({zoom:o+1},r),h/=2),void 0===i||void 0===a?void 0:{from:i,fromScale:h,to:a,toScale:1,t:n}}}var a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":442,\"./parse_color\":377,\"./style_function\":380}],380:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":302}],381:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return new({background:t(\"./style_layer/background_style_layer\"),circle:t(\"./style_layer/circle_style_layer\"),fill:t(\"./style_layer/fill_style_layer\"),line:t(\"./style_layer/line_style_layer\"),raster:t(\"./style_layer/raster_style_layer\"),symbol:t(\"./style_layer/symbol_style_layer\")}[(r||e).type])(e,r)},n.prototype=a.inherit(h,{set:function(t,e){this.id=t.id,this.ref=t.ref,this.metadata=t.metadata,this.type=(e||t).type,this.source=(e||t).source,this.sourceLayer=(e||t)[\"source-layer\"],this.minzoom=(e||t).minzoom,this.maxzoom=(e||t).maxzoom,this.filter=(e||t).filter,this.paint={},this.layout={},this._paintSpecifications=l[\"paint_\"+this.type],this._layoutSpecifications=l[\"layout_\"+this.type],this._paintTransitions={},this._paintTransitionOptions={},this._paintDeclarations={},this._layoutDeclarations={},this._layoutFunctions={};var r,n;for(var i in t){var a=i.match(/^paint(?:\\.(.*))?$/);if(a){var o=a[1]||\"\";for(r in t[i])this.setPaintProperty(r,t[i][r],o)}}if(this.ref)this._layoutDeclarations=e._layoutDeclarations;else for(n in t.layout)this.setLayoutProperty(n,t.layout[n]);for(r in this._paintSpecifications)this.paint[r]=this.getPaintValue(r);for(n in this._layoutSpecifications)this._updateLayoutValue(n)},setLayoutProperty:function(t,e){if(null==e)delete this._layoutDeclarations[t];else{var r=\"layers.\"+this.id+\".layout.\"+t;if(this._handleErrors(u.layoutProperty,r,t,e))return;this._layoutDeclarations[t]=new s(this._layoutSpecifications[t],e)}this._updateLayoutValue(t)},getLayoutProperty:function(t){return this._layoutDeclarations[t]&&this._layoutDeclarations[t].value},getLayoutValue:function(t,e,r){var n=this._layoutSpecifications[t],i=this._layoutDeclarations[t];return i?i.calculate(e,r):n.default},setPaintProperty:function(t,e,r){var n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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this._paintDeclarations){e[\"\"===r?\"paint\":\"paint.\"+r]=a.mapObject(this._paintDeclarations[r],i)}return(!this.ref||t&&t.includeRefProperties)&&a.extend(e,{type:this.type,source:this.source,\"source-layer\":this.sourceLayer,filter:this.filter,layout:a.mapObject(this._layoutDeclarations,i)}),a.filterObject(e,function(t,e){return void 0!==t&&!(\"layout\"===e&&!Object.keys(t).length)})},_applyPaintDeclaration:function(t,e,r,n,i){var l=r.transition?this._paintTransitions[t]:void 0,u=this._paintSpecifications[t];if(null!==e&&void 0!==e||(e=new s(u,u.default)),!l||l.declaration.json!==e.json){var c=a.extend({duration:300,delay:0},n,this.getPaintProperty(t+\"-transition\")),h=this._paintTransitions[t]=new o(u,e,l,c);h.instant()||(h.loopID=i.set(h.endTime-Date.now())),l&&i.cancel(l.loopID)}},_updateLayoutValue:function(t){var e=this._layoutDeclarations[t];e&&e.isFunction?this._layoutFunctions[t]=!0:(delete this._layoutFunctions[t],this.layout[t]=this.getLayoutValue(t))},_handleErrors:function(t,e,r,n){return u.emitErrors(this,t.call(u,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:l,style:{glyphs:!0,sprite:!0}}))}})},{\"../util/evented\":434,\"../util/util\":442,\"./parse_color\":377,\"./style_declaration\":379,\"./style_layer/background_style_layer\":382,\"./style_layer/circle_style_layer\":383,\"./style_layer/fill_style_layer\":384,\"./style_layer/line_style_layer\":385,\"./style_layer/raster_style_layer\":386,\"./style_layer/symbol_style_layer\":387,\"./style_spec\":388,\"./style_transition\":389,\"./validate_style\":390}],382:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],383:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],384:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValue.call(this,\"fill-color\",e,r):a.prototype.getPaintValue.call(this,t,e,r)},getPaintValueStopZoomLevels:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValueStopZoomLevels.call(this,\"fill-color\"):a.prototype.getPaintValueStopZoomLevels.call(this,arguments)},getPaintInterpolationT:function(t,e){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":442,\"../style_layer\":381}],385:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":442,\"../style_layer\":381}],386:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],387:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":442,\"../style_layer\":381}],388:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":325}],389:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new Date).getTime(),\"piecewise-constant\"===t.function&&t.transition?this.interp=i:this.interp=o[t.type],this.oldTransition=r,this.duration=n.duration||0,this.delay=n.delay||0,this.instant()||(this.endTime=this.startTime+this.duration+this.delay,this.ease=a.easeCubicInOut),r&&r.endTime<=this.startTime&&delete r.oldTransition}function i(t,e,r){return void 0===(t&&t.to)||void 0===(e&&e.to)?void 0:{from:t.to,fromScale:t.toScale,to:e.to,toScale:e.toScale,t:r}}var a=t(\"../util/util\"),o=t(\"../util/interpolate\");e.exports=n,n.prototype.instant=function(){return!this.oldTransition||!this.interp||0===this.duration&&0===this.delay},n.prototype.calculate=function(t,e){var r=this.declaration.calculate(a.extend({},t,{duration:this.duration}),e);if(this.instant())return r;var n=t.time||Date.now();if(n<this.endTime){var i=this.oldTransition.calculate(a.extend({},t,{time:this.startTime}),e),o=this.ease((n-this.startTime-this.delay)/this.duration);r=this.interp(i,r,o)}return r}},{\"../util/interpolate\":436,\"../util/util\":442}],390:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":324}],391:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":484}],392:[function(t,e,r){\"use strict\";function n(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=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],393:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":484}],394:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{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:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],395:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,g=p-d;if(m>0)if(m=Math.max(10*s,m),c){var v=e[r.segment+1].sub(e[r.segment])._unit()._mult(g),y=[r.sub(v),r.add(v)];this._addLineCollisionBoxes(t,y,r,0,g,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,g,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var g=e[p].dist(e[p+1]),v=0;v<c;v++){for(var y=-i/2+v*u;m+g<y;){if(m+=g,++p+1>=e.length)return f;g=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],396:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,g=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=g,!e)for(var v=this.grid.query(d,p,m,g),y=0;y<v.length;y++){var b=n.get(v[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var g=0;g<d.length;g++){var v=l.get(d[g]),y=v.sourceLayerIndex,b=v.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=v.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,v)>=a&&(o[y][b]=!0,s.push(d[g]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":329,\"grid-index\":287,\"point-geometry\":484}],397:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var g=0,v=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);v+r<g+w;){v+=r;var k=(v-g)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&v-d>=0&&v+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}g+=w}return h||y.length||c||(y=i(t,g/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":391,\"../util/interpolate\":436,\"./check_max_angle\":392}],398:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,g=0;g<o;g++)h[p+g]=f[m+g];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),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),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":442,\"shelf-pack\":514}],399:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var g=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var v in c)this.loadRange(t,v,g)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":398,\"../util/ajax\":425,\"../util/glyphs\":435,\"../util/mapbox\":439,pbf:478}],400:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var g=o(m,p),v=o(m,p,!0);if(g in u&&v in l&&u[g]!==l[v]){var y=a(g,v,p),b=i(g,v,h[y]);delete l[g],delete u[v],u[o(m,h[b],!0)]=b,h[y]=null}else g in u?i(g,v,p):v in l?a(g,v,p):(n(s),l[g]=d-1,u[v]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],401:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,g=e.image.rect,v=a.layout,y=e.left-1,b=y+g.w/e.image.pixelRatio,x=e.top-1,_=x+g.h/e.image.pixelRatio;if(\"none\"!==v[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=v[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,I=v[\"icon-text-fit-padding\"][0],z=v[\"icon-text-fit-padding\"][1],D=v[\"icon-text-fit-padding\"][2],P=v[\"icon-text-fit-padding\"][3],O=\"width\"===v[\"icon-text-fit\"]?.5*(C-M):0,R=\"height\"===v[\"icon-text-fit\"]?.5*(L-w):0,F=\"width\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?L:w,j=\"height\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?C:M;f=new s(A+R-P,S+O-I),d=new s(A+R+z+F,S+O-I),p=new s(A+R+z+F,S+O+D+j),m=new s(A+R-P,S+O+D+j)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],g=m.glyph,v=g.rect;if(v){var y,b=(m.x+g.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+g.left,w=m.y-g.top,M=_+v.w,k=w+v.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],I=A,z=T,D=S,P=E;if(c){var O=Math.sin(c),R=Math.cos(c),F=[R,-O,O,R];I=I.matMult(F),z=z.matMult(F),D=D.matMult(F),P=P.matMult(F)}var j=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,I,z,D,P,v,N,B,j,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var g=c.sub(u)._unit();u=u.sub(g._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":484}],402:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":441}],403:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var g=t.charCodeAt(m),v=e[g];v&&(f.push(new n(g,p,-17,v)),p+=v.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,g=0,v=t.positionedGlyphs;if(n)for(var y=0;y<v.length;y++){var b=v[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=v[c+1].x;g=Math.max(x,g);for(var _=c+1;_<=y;_++)v[_].y+=r,v[_].x-=x;if(o){var w=c;h[v[c].codePoint]&&w--,s(v,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=v[v.length-1],k=M.x+e[M.codePoint].advance;g=Math.max(g,k);var A=(m+1)*r;s(v,e,p,v.length-1,o),l(v,o,i,a,g,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*g,t.right=t.left+g}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}\n",
       "function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],404:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":426,\"../util/util\":442,\"shelf-pack\":514}],405:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],406:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"./quads\":401,\"point-geometry\":484}],407:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){v(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),v(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&v(\"contextmenu\",x),x=null,v(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&v(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,v(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&v(\"click\",t)}function m(t){v(\"dblclick\",t),t.preventDefault()}function g(t){x=t,t.preventDefault()}function v(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",g,!1)}},{\"../util/dom\":428,\"./handler/box_zoom\":413,\"./handler/dblclick_zoom\":414,\"./handler/drag_pan\":415,\"./handler/drag_rotate\":416,\"./handler/keyboard\":417,\"./handler/scroll_zoom\":418,\"./handler/touch_zoom_rotate\":419,\"point-geometry\":484}],408:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var g=s.locationPoint(r);return!1===t.animate&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,g.add(a.sub(g)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),g=\"zoom\"in t?+t.zoom:f,v=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(g-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,g),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),I=function(t){return s(C)/s(C+M*t)},z=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},D=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;D=Math.abs(Math.log(A/k))/M,z=function(){return 0},I=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*D/O}return this.zooming=!0,d!==v&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*D,n=z(r);c.zoom=f+c.scaleZoom(1/I(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,v,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},!1===r.animate?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../util/browser\":426,\"../util/interpolate\":436,\"../util/util\":442,\"point-geometry\":484}],409:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],410:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",-1!==r.indexOf(\"bottom\")?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":434,\"../../util/util\":442}],411:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],412:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],413:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":340,\"../../util/dom\":428,\"../../util/util\":442}],414:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],415:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?!1&t.buttons:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],416:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442,\"point-geometry\":484}],417:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],418:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=-1!==s.indexOf(\"firefox\"),u=-1!==s.indexOf(\"safari\")&&-1===s.indexOf(\"chrom\");n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442}],419:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],\n",
       "document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],420:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":442}],421:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),g=t(\"./camera\"),v=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,g.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&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 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(v.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../geo/transform\":341,\"../render/painter\":355,\"../style/animation_loop\":375,\"../style/style\":378,\"../util/browser\":426,\"../util/canvas\":427,\"../util/dom\":428,\"../util/evented\":434,\"../util/util\":442,\"./bind_handlers\":407,\"./camera\":408,\"./control/attribution\":409,\"./hash\":420,\"point-geometry\":484}],422:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":339,\"../util/dom\":428,\"point-geometry\":484}],423:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},_createContent:function(){this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClickClose))},_update:function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content));var t=this._map.project(this._lngLat).round(),e=this.options.anchor;if(!e){var 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s=0,l=0;l<3;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;f(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;h(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var u=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*u,s-n[6]*u,l-n[10]*u),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.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},d.getDistanceLimits=function(t){var e=this.radius.bounds;return 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a=i.viewportWidth,o=i.viewportHeight;t.width=t.width||a-t.xOffset,t.height=t.height||o-t.yOffset,t.needsCopy=!0,de(t.xOffset>=0&&t.xOffset<a&&t.yOffset>=0&&t.yOffset<o&&t.width>0&&t.width<=a&&t.height>0&&t.height<=o,\"copy texture read out of bounds\")}else if(n){if(Qt(n))t.channels=t.channels||4,t.data=n,\"type\"in e||t.type!==Or||(t.type=At(n));else if(vt(n))t.channels=t.channels||4,Tt(t,n),t.alignment=1,t.needsFree=!0;else if(Z(n)){var s=n.data;Array.isArray(s)||t.type!==Or||(t.type=At(s));var l,c,h,f,d,p,m=n.shape,g=n.stride;3===m.length?(h=m[2],p=g[2]):(de(2===m.length,\"invalid ndarray pixel data, must be 2 or 3D\"),h=1,p=1),l=m[0],c=m[1],f=g[0],d=g[1],t.alignment=1,t.width=l,t.height=c,t.channels=h,t.format=t.internalformat=hn[h],t.needsFree=!0,Lt(t,s,f,d,p,n.offset)}else if(xt(n)||_t(n))xt(n)?t.element=n:t.element=n.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(wt(n))t.element=n,t.width=n.naturalWidth,t.height=n.naturalHeight,t.channels=4;else if(Mt(n))t.element=n,t.width=n.videoWidth,t.height=n.videoHeight,t.channels=4;else if(yt(n)){var v=t.width||n[0].length,y=t.height||n.length,b=t.channels;b=mt(n[0][0])?b||n[0][0].length:b||1;for(var x=Ce.shape(n),_=1,w=0;w<x.length;++w)_*=x[w];var M=St(t,_);Ce.flatten(n,x,\"\",M),Et(t,M),t.alignment=1,t.width=v,t.height=y,t.channels=b,t.format=t.internalformat=hn[b],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4;t.type===jr?de(r.extensions.indexOf(\"oes_texture_float\")>=0,\"oes_texture_float extension not enabled\"):t.type===wr&&de(r.extensions.indexOf(\"oes_texture_half_float\")>=0,\"oes_texture_half_float extension not enabled\")}function d(e,r,i){var a=e.element,o=e.data,s=e.internalformat,l=e.format,u=e.type,h=e.width,f=e.height;c(e),a?t.texImage2D(r,i,l,l,u,a):e.compressed?t.compressedTexImage2D(r,i,s,h,f,0,o):e.needsCopy?(n(),t.copyTexImage2D(r,i,l,e.xOffset,e.yOffset,h,f,0)):t.texImage2D(r,i,l,h,f,0,l,u,o)}function p(e,r,i,a,o){var s=e.element,l=e.data,u=e.internalformat,h=e.format,f=e.type,d=e.width,p=e.height;c(e),s?t.texSubImage2D(r,o,i,a,h,f,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,u,d,p,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,d,p)):t.texSubImage2D(r,o,i,a,d,p,h,f,l)}function m(){return K.pop()||new h}function g(t){t.needsFree&&Le.freeType(t.data),h.call(t),K.push(t)}function v(){s.call(this),this.genMipmaps=!1,this.mipmapHint=$r,this.mipmask=0,this.images=Array(16)}function y(t,e,r){var n=t.images[0]=m();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function b(t,e){var r=null;if(kt(e))r=t.images[0]=m(),l(r,t),f(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)r=t.images[i]=m(),l(r,t),r.width>>=i,r.height>>=i,f(r,n[i]),t.mipmask|=1<<i;else 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r=0;r<32;++r)if(0!=(e.mipmask&1<<r))if(e.target===nr)t.texImage2D(nr,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;n<6;++n)t.texImage2D(ar+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);A(e.texInfo,e.target)})}var P={\"don't care\":$r,\"dont care\":$r,nice:en,fast:tn},O={repeat:Ur,clamp:Vr,mirror:Hr},R={nearest:Yr,linear:Wr},F=$t({mipmap:Kr,\"nearest mipmap nearest\":Xr,\"linear mipmap nearest\":Zr,\"nearest mipmap linear\":Jr,\"linear mipmap linear\":Kr},R),j={none:0,browser:ln},N={uint8:Or,rgba4:pr,rgb565:gr,\"rgb5 a1\":mr},B={alpha:sr,luminance:ur,\"luminance alpha\":cr,rgb:lr,rgba:or,rgba4:hr,\"rgb5 a1\":fr,rgb565:dr},U={};e.ext_srgb&&(B.srgb=xr,B.srgba=_r),e.oes_texture_float&&(N.float32=N.float=jr),e.oes_texture_half_float&&(N.float16=N[\"half float\"]=wr),e.webgl_depth_texture&&($t(B,{depth:yr,\"depth stencil\":br}),$t(N,{uint16:Rr,uint32:Fr,\"depth 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i=this.computedMatrix;m[0]=i[2],m[1]=i[6],m[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;l<3;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];c(i,i,n,m);for(var l=0;l<3;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],u=n(o,s,l);o/=u,s/=u,l/=u;var c=a[0],h=a[4],f=a[8],d=c*o+h*s+f*l;c-=o*d,h-=s*d,f-=l*d;var p=n(c,h,f);c/=p,h/=p,f/=p;var m=c*e+o*r,g=h*e+s*r,v=f*e+l*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),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,a){var o=1;\"number\"==typeof r&&(o=0|r),(o<0||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],c=e[o+4],h=e[o+8];if(a){var 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.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,i.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 n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.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)}}),i.calendars.ethiopian=n},{\"../main\":581,\"object-assign\":470}],571:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.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 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t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(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 n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var 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 i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.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(\".\"),t.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,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.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)}}),o.calendars.mayan=n},{\"../main\":581,\"object-assign\":470}],575:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.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 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i.baseCalendar,a(n.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,i.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,i.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 n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,\n",
       "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(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,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]}}),i.calendars.nepali=n},{\"../main\":581,\"object-assign\":470}],577:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.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,a.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,a.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 n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),h=t-this.toJD(l,c,1)+1;return this.newDate(l,c,h)}}),a.calendars.persian=n,a.calendars.jalali=n},{\"../main\":581,\"object-assign\":470}],578:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.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,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.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 n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.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)}}),i.calendars.taiwan=n},{\"../main\":581,\"object-assign\":470}],579:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.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,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.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 n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.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)}}),i.calendars.thai=n},{\"../main\":581,\"object-assign\":470}],580:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.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,i.local.invalidYear);return 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n(){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 i(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(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.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(),n.newDate(t,e,r)},substituteDigits:function(t){\n",
       "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]}}}),l(i.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(u.local.invalidDate||u.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(u.local.differentCalendars||u.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?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.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,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return 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o=i[e];o.anchor&&\"free\"!==o.anchor&&(o.anchor=f.cleanId(o.anchor)),o.overlaying&&(o.overlaying=f.cleanId(o.overlaying)),o.type||(o.isdate?o.type=\"date\":o.islog?o.type=\"log\":!1===o.isdate&&!1===o.islog&&(o.type=\"linear\")),\"withzero\"!==o.autorange&&\"tozero\"!==o.autorange||(o.autorange=!0,o.rangemode=\"tozero\"),delete o.islog,delete o.isdate,delete o.categories,a(o,\"domain\")&&delete o.domain,void 0!==o.autotick&&(void 0===o.tickmode&&(o.tickmode=o.autotick?\"auto\":\"linear\"),delete o.autotick)}var s=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<s;e++){var u=t.annotations[e];c.isPlainObject(u)&&(u.ref&&(\"paper\"===u.ref?(u.xref=\"paper\",u.yref=\"paper\"):\"data\"===u.ref&&(u.xref=\"x\",u.yref=\"y\"),delete u.ref),n(u,\"xref\"),n(u,\"yref\"))}var p=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<p;e++){var m=t.shapes[e];c.isPlainObject(m)&&(n(m,\"xref\"),n(m,\"yref\"))}var g=t.legend;g&&(g.x>3?(g.x=1.02,g.xanchor=\"left\"):g.x<-2&&(g.x=-.02,g.xanchor=\"right\"),g.y>3?(g.y=1.02,g.yanchor=\"bottom\"):g.y<-2&&(g.y=-.02,g.yanchor=\"top\")),\"rotate\"===t.dragmode&&(t.dragmode=\"orbit\"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var v=h.getSubplotIds(t,\"gl3d\");for(e=0;e<v.length;e++){var y=t[v[e]],b=y.cameraposition;if(Array.isArray(b)&&4===b[0].length){var x=b[0],_=b[1],w=b[2],M=l([],x),k=[];for(r=0;r<3;++r)k[r]=_[e]+w*M[2+4*r];y.camera={eye:{x:k[0],y:k[1],z:k[2]},center:{x:_[0],y:_[1],z:_[2]},up:{x:M[1],y:M[5],z:M[9]}},delete y.cameraposition}}return d.clean(t),t},r.cleanData=function(t,e){for(var n=[],o=(t.concat(Array.isArray(e)?e:[]).filter(function(t){return\"uid\"in t}).map(function(t){return t.uid})),s=0;s<t.length;s++){var l,p=t[s];if(!(\"uid\"in p)||-1!==n.indexOf(p.uid)){var m;for(l=0;l<100&&(m=c.randstr(o),-1!==n.indexOf(m));l++);p.uid=c.randstr(o),o.push(p.uid)}if(n.push(p.uid),\"histogramy\"===p.type&&\"xbins\"in p&&!(\"ybins\"in p)&&(p.ybins=p.xbins,delete p.xbins),p.error_y&&\"opacity\"in p.error_y){var g=d.defaults,v=p.error_y.color||(u.traceIs(p,\"bar\")?d.defaultLine:g[s%g.length]);p.error_y.color=d.addOpacity(d.rgb(v),d.opacity(v)*p.error_y.opacity),delete p.error_y.opacity}if(\"bardir\"in p&&(\"h\"!==p.bardir||!u.traceIs(p,\"bar\")&&\"histogram\"!==p.type.substr(0,9)||(p.orientation=\"h\",r.swapXYData(p)),delete p.bardir),\"histogramy\"===p.type&&r.swapXYData(p),\"histogramx\"!==p.type&&\"histogramy\"!==p.type||(p.type=\"histogram\"),\"scl\"in p&&(p.colorscale=p.scl,delete p.scl),\"reversescl\"in p&&(p.reversescale=p.reversescl,delete p.reversescl),p.xaxis&&(p.xaxis=f.cleanId(p.xaxis,\"x\")),p.yaxis&&(p.yaxis=f.cleanId(p.yaxis,\"y\")),u.traceIs(p,\"gl3d\")&&p.scene&&(p.scene=h.subplotsRegistry.gl3d.cleanId(p.scene)),u.traceIs(p,\"pie\")||u.traceIs(p,\"bar\")||(Array.isArray(p.textposition)?p.textposition=p.textposition.map(i):p.textposition&&(p.textposition=i(p.textposition))),u.traceIs(p,\"2dMap\")&&(\"YIGnBu\"===p.colorscale&&(p.colorscale=\"YlGnBu\"),\"YIOrRd\"===p.colorscale&&(p.colorscale=\"YlOrRd\")),u.traceIs(p,\"markerColorscale\")&&p.marker){var y=p.marker;\"YIGnBu\"===y.colorscale&&(y.colorscale=\"YlGnBu\"),\"YIOrRd\"===y.colorscale&&(y.colorscale=\"YlOrRd\")}if(\"surface\"===p.type&&c.isPlainObject(p.contours)){var b=[\"x\",\"y\",\"z\"];for(l=0;l<b.length;l++){var x=p.contours[b[l]];c.isPlainObject(x)&&(x.highlightColor&&(x.highlightcolor=x.highlightColor,delete x.highlightColor),x.highlightWidth&&(x.highlightwidth=x.highlightWidth,delete x.highlightWidth))}}if(Array.isArray(p.transforms)){var _=p.transforms;for(l=0;l<_.length;l++){var w=_[l];if(c.isPlainObject(w))switch(w.type){case\"filter\":w.filtersrc&&(w.target=w.filtersrc,delete w.filtersrc),w.calendar&&(w.valuecalendar||(w.valuecalendar=w.calendar),delete w.calendar);break;case\"groupby\":if(w.styles=w.styles||w.style,w.styles&&!Array.isArray(w.styles)){var M=w.styles,k=Object.keys(M);w.styles=[];for(var A=0;A<k.length;A++)w.styles.push({target:k[A],value:M[k[A]]})}}}}a(p,\"line\")&&delete p.line,\"marker\"in p&&(a(p.marker,\"line\")&&delete p.marker.line,a(p,\"marker\")&&delete p.marker),d.clean(p)}},r.swapXYData=function(t){var e;if(c.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);c.swapAttrs(t,[\"error_?.copy_ystyle\"]),n&&c.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){return s(e)?[e]:Array.isArray(e)&&e.length?e:t.data.map(function(t,e){return e})},r.manageArrayContainers=function(t,e,r){var n=t.obj,i=t.parts,a=i.length,o=i[a-1],l=s(o);if(l&&null===e){var u=i.slice(0,a-1).join(\".\");c.nestedProperty(n,u).get().splice(o,1)}else l&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var p=/(\\.[^\\[\\]\\.]+|\\[[^\\[\\]\\.]+\\])$/;r.hasParent=function(t,e){for(var r=o(e);r;){if(r in t)return!0;r=o(r)}return!1};var m=[\"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 o=f.getFromTrace(t,i,m[a]);if(o&&\"log\"!==o.type){var s=o._name,l=o._id.substr(1);if(\"scene\"===l.substr(0,5)){if(void 0!==r[l])continue;s=l+\".\"+s}var u=s+\".type\";void 0===r[s]&&void 0===r[u]&&c.nestedProperty(t.layout,u).set(null)}}}},{\"../components/color\":604,\"../lib\":728,\"../plots/cartesian/axes\":772,\"../plots/plots\":831,\"../registry\":846,\"fast-isnumeric\":131,\"gl-mat4/fromQuat\":178}],758:[function(t,e,r){\"use strict\";var n=t(\"../lib/nested_property\"),i=t(\"../lib/is_plain_object\"),a=t(\"../lib/noop\"),o=t(\"../lib/loggers\"),s=t(\"../lib/search\").sorterAsc,l=t(\"../registry\");r.containerArrayMatch=t(\"./container_array_match\");var u=r.isAddVal=function(t){return\"add\"===t||i(t)},c=r.isRemoveVal=function(t){return null===t||\"remove\"===t};r.applyContainerArrayChanges=function(t,e,r,i){var h=e.astr,f=l.getComponentMethod(h,\"supplyLayoutDefaults\"),d=l.getComponentMethod(h,\"draw\"),p=l.getComponentMethod(h,\"drawOne\"),m=i.replot||i.recalc||f===a||d===a,g=t.layout,v=t._fullLayout;if(r[\"\"]){Object.keys(r).length>1&&o.warn(\"Full array edits are incompatible with other edits\",h);var y=r[\"\"][\"\"];if(c(y))e.set(null);else{if(!Array.isArray(y))return o.warn(\"Unrecognized full array edit value\",h,y),!0;e.set(y)}return!m&&(f(g,v),d(t),!0)}var b,x,_,w,M,k,A,T=Object.keys(r).map(Number).sort(s),S=e.get(),E=S||[],L=n(v,h).get(),C=[],I=-1,z=E.length;for(b=0;b<T.length;b++)if(_=T[b],w=r[_],M=Object.keys(w),k=w[\"\"],A=u(k),_<0||_>E.length-(A?0:1))o.warn(\"index out of range\",h,_);else if(void 0!==k)M.length>1&&o.warn(\"Insertion & removal are incompatible with edits to the same index.\",h,_),c(k)?C.push(_):A?(\"add\"===k&&(k={}),E.splice(_,0,k),L&&L.splice(_,0,{})):o.warn(\"Unrecognized full object edit value\",h,_,k),-1===I&&(I=_);else for(x=0;x<M.length;x++)n(E[_],M[x]).set(w[M[x]]);for(b=C.length-1;b>=0;b--)E.splice(C[b],1),L&&L.splice(C[b],1);if(E.length?S||e.set(E):e.set(null),m)return!1;if(f(g,v),p!==a){var D;if(-1===I)D=T;else{for(z=Math.max(E.length,z),D=[],b=0;b<T.length&&!((_=T[b])>=I);b++)D.push(_);for(b=I;b<z;b++)D.push(b)}for(b=0;b<D.length;b++)p(t,D[b])}else d(t);return!0}},{\"../lib/is_plain_object\":730,\"../lib/loggers\":732,\"../lib/nested_property\":735,\"../lib/noop\":736,\"../lib/search\":745,\"../registry\":846,\"./container_array_match\":755}],759:[function(t,e,r){\"use strict\";function n(t,e){try{t._fullLayout._paper.style(\"background\",e)}catch(t){w.error(t)}}function i(t,e){n(t,I.combine(e,\"white\"))}function a(t,e){t._context||(t._context=w.extendDeep({},_.defaultConfig));var r,a,o,s=t._context;if(e){for(a=Object.keys(e),r=0;r<a.length;r++)\"editable\"!==(o=a[r])&&\"edits\"!==o&&o in s&&(\"setBackground\"===o&&\"opaque\"===e[o]?s[o]=i:s[o]=e[o]);e.plot3dPixelRatio&&!s.plotGlPixelRatio&&(s.plotGlPixelRatio=s.plot3dPixelRatio);var l=e.editable;if(void 0!==l)for(s.editable=l,a=Object.keys(s.edits),r=0;r<a.length;r++)s.edits[a[r]]=l;if(e.edits)for(a=Object.keys(e.edits),r=0;r<a.length;r++)(o=a[r])in s.edits&&(s.edits[o]=e.edits[o])}s.staticPlot&&(s.editable=!1,s.edits={},s.autosizable=!1,s.scrollZoom=!1,s.doubleClick=!1,s.showTips=!1,s.showLink=!1,s.displayModeBar=!1),\"hover\"!==s.displayModeBar||x||(s.displayModeBar=!0),\"transparent\"!==s.setBackground&&\"function\"==typeof s.setBackground||(s.setBackground=n)}function o(t,e,r){var n=y.select(t).selectAll(\".plot-container\").data([0]);n.enter().insert(\"div\",\":first-child\").classed(\"plot-container plotly\",!0);var i=n.selectAll(\".svg-container\").data([0]);i.enter().append(\"div\").classed(\"svg-container\",!0).style(\"position\",\"relative\"),i.html(\"\"),e&&(t.data=e),r&&(t.layout=r),E.manager.fillLayout(t),i.style({width:t._fullLayout.width+\"px\",height:t._fullLayout.height+\"px\"}),t.framework=E.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;\"\"!==s&&s||(o=0);var l=function(){this.call(P.convertToTspans,t)},u=a.select(\".title-group text\").call(l);if(t._context.edits.titleText){s&&\"Click to enter title\"!==s||(o=.2,u.attr({\"data-unformatted\":\"Click to enter title\"}).text(\"Click to enter title\").style({opacity:o}).on(\"mouseover.opacity\",function(){y.select(this).transition().duration(100).style(\"opacity\",1)}).on(\"mouseout.opacity\",function(){y.select(this).transition().duration(1e3).style(\"opacity\",0)}));var c=function(){this.call(P.makeEditable,{gd:t}).on(\"edit\",function(e){t.framework({layout:{title:e}}),this.text(e).call(l),this.call(c)}).on(\"cancel\",function(){var t=this.attr(\"data-unformatted\");this.text(t).call(l)})};u.call(c)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),S.addLinks(t),Promise.resolve()}function s(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)n=t[r],n<0?a.push(i+n):a.push(n);return a}function l(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 u(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]),l(t,e,\"currentIndices\"),void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&l(t,r,\"newIndices\"),void 0!==r&&e.length!==r.length)throw new Error(\"current and new indices must be of equal length.\")}function c(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\")}function h(t,e,r,n){var i=w.isPlainObject(n);if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array\");if(!w.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\");l(t,r,\"indices\");for(var a in 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\")}}function f(t,e,r,n){var i,a,o,l,u,c=w.isPlainObject(n),h=[];Array.isArray(r)||(r=[r]),r=s(r,t.data.length-1);for(var f in e)for(var d=0;d<r.length;d++){if(i=t.data[r[d]],o=w.nestedProperty(i,f),a=o.get(),l=e[f][d],!Array.isArray(l))throw new Error(\"attribute: \"+f+\" index: \"+d+\" must be an array\");if(!Array.isArray(a))throw new Error(\"cannot extend missing or non-array attribute: \"+f);u=c?n[f][d]:n,b(u)||(u=-1),h.push({prop:o,target:a,insert:l,maxp:Math.floor(u)})}return h}function d(t,e,r,n,i,a){h(t,e,r,n);for(var o,s,l,u=f(t,e,r,n),c=[],d={},p={},m=0;m<u.length;m++)s=u[m].prop,l=u[m].maxp,o=i(u[m].target,u[m].insert),l>=0&&l<o.length&&(c=a(o,l)),l=u[m].target.length,s.set(o),Array.isArray(d[s.astr])||(d[s.astr]=[]),Array.isArray(p[s.astr])||(p[s.astr]=[]),d[s.astr].push(c),p[s.astr].push(l);return{update:d,maxPoints:p}}function p(t){return void 0===t?null:t}function m(t,e,r){function n(){return r.map(function(){})}function i(t){var e=_.Axes.id2name(t);-1===u.indexOf(e)&&u.push(e)}function a(t){return\"LAYOUT\"+t+\".autorange\"}function o(t){return\"LAYOUT\"+t+\".range\"}function s(i,a,o){if(Array.isArray(i))return void i.forEach(function(t){s(t,a,o)});if(!(i in e||R.hasParent(e,i))){var l;l=\"LAYOUT\"===i.substr(0,6)?w.nestedProperty(t.layout,i.replace(\"LAYOUT\",\"\")):w.nestedProperty(f[r[o]],i),i in g||(g[i]=n()),void 0===g[i][o]&&(g[i][o]=p(l.get())),void 0!==a&&l.set(a)}}var l,u,c=t._fullLayout,h=t._fullData,f=t.data,d=j.traceFlags(),m={},g={},v={};for(var y in e){if(R.hasParent(e,y))throw 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n,i,a,o,s=V.getFromId(t,e),l=w.select(t).selectAll(\"g.\"+e+\"tick\"),u={selection:l,side:s.side},h=e.charAt(0),f=t._fullLayout._size,d=s.titlefont.size;if(l.size()){var p=L.getTranslate(l.node().parentNode);u.offsetLeft=p.x,u.offsetTop=p.y}var 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h=e._isScoped=\"world\"!==o,f=e._isConic=-1!==u.indexOf(\"conic\");e._isClipped=!!a.lonaxisSpan[u];for(var d=0;d<s.length;d++){var p,m=s[d],g=[30,10][d];if(h)p=l[m+\"Range\"];else{var v=a[m+\"Span\"],y=(v[u]||v[\"*\"])/2,b=r(\"projection.rotation.\"+m.substr(0,3),l.projRotate[d]);p=[b-y,b+y]}r(m+\".tick0\",r(m+\".range\",p)[0]),r(m+\".dtick\",g),n=r(m+\".showgrid\"),n&&(r(m+\".gridcolor\"),r(m+\".gridwidth\"))}var x=e.lonaxis.range,_=e.lataxis.range,w=x[0],M=x[1];w>0&&M<0&&(M+=360);var k,A=(w+M)/2;if(!c){var T=h?l.projRotate:[A,0,0];k=r(\"projection.rotation.lon\",T[0]),r(\"projection.rotation.lat\",T[1]),r(\"projection.rotation.roll\",T[2]),n=r(\"showcoastlines\",!h),n&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),n=r(\"showocean\"),n&&r(\"oceancolor\")}var 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r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],u=e[3];return[r*o-n*s-i*l-a*u,r*s+n*o+i*u-a*l,r*l-n*u+i*o+a*s,r*u+n*l-i*s+a*o]}function f(t,e){if(t&&e){var r=x(t,e),n=Math.sqrt(b(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,b(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function d(t,e,r){var n=g(e,2,t[0]);n=g(n,1,t[1]),n=g(n,0,t[2]-r[2]);var i,a,o=e[0],s=e[1],l=e[2],u=n[0],c=n[1],h=n[2],f=Math.atan2(s,o)*A,d=Math.sqrt(o*o+s*s);Math.abs(c)>d?(a=(c>0?90:-90)-f,i=0):(a=Math.asin(c/d)*A-f,i=Math.sqrt(d*d-c*c));var m=180-a-2*f,v=(Math.atan2(h,u)-Math.atan2(l,i))*A,y=(Math.atan2(h,u)-Math.atan2(l,-i))*A;return p(r[0],r[1],a,v)<=p(r[0],r[1],m,y)?[a,v,r[2]]:[m,y,r[2]]}function p(t,e,r,n){var i=m(r-t),a=m(n-e);return Math.sqrt(i*i+a*a)}function m(t){return(t%360+540)%360-180}function g(t,e,r){var n=r*k,i=t.slice(),a=0===e?1:0,o=2===e?1:2,s=Math.cos(n),l=Math.sin(n);return i[a]=t[a]*s-t[o]*l,i[o]=t[o]*s+t[a]*l,i}function 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n(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]}function i(t){function e(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function r(){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}function i(n,i,a){function o(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,h.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var s,u,f=t.calcDataBox(),d=c.viewBox,p=h.lastPos[0],m=h.lastPos[1],g=l.MINDRAG*c.pixelRatio,v=l.MINZOOM*c.pixelRatio;switch(i*=c.pixelRatio,a*=c.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];h.boxInited||(h.boxStart[0]=y,h.boxStart[1]=b,h.dragStart[0]=i,h.dragStart[1]=a),h.boxEnd[0]=y,h.boxEnd[1]=b,h.boxInited=!0,h.boxEnabled||h.boxStart[0]===h.boxEnd[0]&&h.boxStart[1]===h.boxEnd[1]||(h.boxEnabled=!0);var x=Math.abs(h.dragStart[0]-i)<v,_=Math.abs(h.dragStart[1]-a)<v;if(!r()||x&&_)x&&(h.boxEnd[0]=h.boxStart[0]),_&&(h.boxEnd[1]=h.boxStart[1]);else{s=h.boxEnd[0]-h.boxStart[0],u=h.boxEnd[1]-h.boxStart[1];var 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h.boxEnabled?(s=h.boxStart[0]!==h.boxEnd[0],u=h.boxStart[1]!==h.boxEnd[1],s||u?(s&&(o(0,h.boxStart[0],h.boxEnd[0]),t.xaxis.autorange=!1),u&&(o(1,h.boxStart[1],h.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),h.boxEnabled=!1,h.boxInited=!1):h.boxInited&&(h.boxInited=!1);break;case\"pan\":h.boxEnabled=!1,h.boxInited=!1,n?(h.panning||(h.dragStart[0]=i,h.dragStart[1]=a),Math.abs(h.dragStart[0]-i)<g&&(i=h.dragStart[0]),Math.abs(h.dragStart[1]-a)<g&&(a=h.dragStart[1]),s=(p-i)*(f[2]-f[0])/(c.viewBox[2]-c.viewBox[0]),u=(m-a)*(f[3]-f[1])/(c.viewBox[3]-c.viewBox[1]),f[0]+=s,f[2]+=s,f[1]+=u,f[3]+=u,t.setRanges(f),h.panning=!0,h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):h.panning&&(h.panning=!1,t.relayoutCallback())}h.lastPos[0]=i,h.lastPos[1]=a}var u=t.mouseContainer,c=t.glplot,h=new n(u,c);return h.mouseListener=a(u,i),u.addEventListener(\"touchstart\",function(t){var e=s(t.changedTouches[0],u);i(0,e[0],e[1]),i(1,e[0],e[1])}),u.addEventListener(\"touchmove\",function(t){t.preventDefault();var e=s(t.changedTouches[0],u);i(1,e[0],e[1])}),u.addEventListener(\"touchend\",function(){i(0,h.lastPos[0],h.lastPos[1])}),h.wheelListener=o(u,function(r,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=c.viewBox,o=h.lastPos[0],s=h.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),u=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-u)*l+u,i[2]=(i[2]-u)*l+u,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),h}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":777,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455}],807:[function(t,e,r){\"use strict\";function n(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}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?-1!==String(i).indexOf(\"all\"):!!i,f=u?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.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},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0\n",
       ";var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\"../../lib/html2unicode\":726,\"../../lib/str2rgbarray\":749,\"../cartesian/axes\":772,\"../plots\":831}],808:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../plots\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),u=t(\"../../components/fx/layout_attributes\");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.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.layoutAttributes.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=a.getSubplotIds(e,\"gl2d\"),o=0;o<n.length;o++){var s=n[o],l=e._plots[s],u=a.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=a.getSubplotIds(n,\"gl2d\"),o=0;o<i.length;o++){var s=i[o],u=n._plots[s];if(u._scene2d){0===a.getSubplotData(t,\"gl2d\",s).length&&(u._scene2d.destroy(),delete n._plots[s])}}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=a.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var i=e._plots[r[n]],s=i._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}},r.updateFx=function(t){for(var e=a.getSubplotIds(t,\"gl2d\"),r=0;r<e.length;r++){t._plots[e[r]]._scene2d.updateFx(t.dragmode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../plot_api/edit_types\":756,\"../cartesian\":782,\"../cartesian/attributes\":771,\"../cartesian/constants\":777,\"../plots\":831,\"./scene2d\":809}],809:[function(t,e,r){\"use strict\";function n(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,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(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}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../components/fx\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),g=t(\"../../lib/html2unicode\"),v=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=y.enforce,x=y.clean,_=[\"xaxis\",\"yaxis\"];e.exports=n;var w=n.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||v(this),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),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\",i.style[\"pointer-events\"]=\"auto\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i);var l=this;i.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),i.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},w.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),this.redraw&&this.redraw(),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=g(t[e][r].text+\"\");return t},w.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.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&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.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.staticPlot||this.container.removeChild(this.canvas),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}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),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:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};x(s,this.xaxis),x(s,this.yaxis);var u=r._size,c=this.xaxis.domain,h=this.yaxis.domain;o.viewBox=[u.l+c[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-c[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(c[1]-c[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+c[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\";var f=this.bounds;f[0]=f[1]=1/0,f[2]=f[3]=-1/0;var d,p,m=Object.keys(this.traces);for(p=0;p<m.length;++p)for(var g=this.traces[m[p]],v=0;v<2;++v)f[v]=Math.min(f[v],g.bounds[v]),f[v+2]=Math.max(f[v+2],g.bounds[v+2]);for(p=0;p<2;++p)f[p]>f[p+2]&&(f[p]=-1,f[p+2]=1),d=this[_[p]],d._length=o.viewBox[p+2]-o.viewBox[p],l.doAutoRange(d),d.setScale();b(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.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])]},w.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])]},w.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],i.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],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){this.mouseContainer.style[\"pointer-events\"]=\"lasso\"===t||\"select\"===t?\"none\":\"auto\",this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.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};u.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},w.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,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=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])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.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(p,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=u.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var b=y.split(\"+\");-1===b.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===b.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===b.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===b.indexOf(\"text\")&&(m.textLabel=void 0),-1===b.indexOf(\"name\")&&(m.name=void 0)}u.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:u.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:u.castHoverOption(g,v,\"bordercolor\"),fontFamily:u.castHoverOption(g,v,\"font.family\"),fontSize:u.castHoverOption(g,v,\"font.size\"),fontColor:u.castHoverOption(g,v,\"font.color\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":645,\"../../lib/html2unicode\":726,\"../../lib/show_no_webgl_msg\":747,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/constraints\":779,\"../../registry\":846,\"./camera\":806,\"./convert\":807,\"gl-plot2d\":219,\"gl-select-box\":253,\"gl-spikes2d\":262,\"webgl-context\":563}],810:[function(t,e,r){\"use strict\";function n(t,e){function r(e,r,n,a){var o=p.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,f=!!a.control,d=!!a.alt,y=!!a.shift,b=!!(1&e),x=!!(2&e),_=!!(4&e),w=1/t.clientHeight,M=w*(r-m),k=w*(n-g),A=p.flipX?1:-1,T=p.flipY?1:-1,S=i(),E=Math.PI*p.rotateSpeed;if((s&&b&&!f&&!d&&!y||b&&!f&&!d&&y)&&u.rotate(S,A*E*M,-T*E*k,0),(l&&b&&!f&&!d&&!y||x||b&&f&&!d&&!y)&&u.pan(S,-p.translateSpeed*M*h,p.translateSpeed*k*h,0),c&&b&&!f&&!d&&!y||_||b&&!f&&d&&!y){var L=-p.zoomSpeed*k/window.innerHeight*(S-u.lastT())*100;u.pan(S,0,0,h*(Math.exp(L)-1))}return m=r,g=n,v=a,!0}}t=t||document.body,e=e||{};var n=[.01,1/0];\"distanceLimits\"in e&&(n[0]=e.distanceLimits[0],n[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(n[0]=e.zoomMin),\"zoomMax\"in e&&(n[1]=e.zoomMax);var u=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:n}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,d=t.clientHeight,p={keyBindingMode:\"rotate\",view:u,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:u.modes,tick:function(){var e=i(),r=this.delay,n=e-2*r;u.idle(e-r),u.recalcMatrix(n),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===d;return f=t.clientWidth,d=t.clientHeight,a?!l:(h=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};Object.defineProperties(p,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),n=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=i();u._active.lookAt(a,r,n,e),u._active.lookAt(a+500,r,n,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(n)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var m=0,g=0,v={shift:!1,control:!1,alt:!1,meta:!1};return p.mouseListener=o(t,r),t.addEventListener(\"touchstart\",function(e){var n=l(e.changedTouches[0],t);r(0,n[0],n[1],v),r(1,n[0],n[1],v)}),t.addEventListener(\"touchmove\",function(e){var n=l(e.changedTouches[0],t);r(1,n[0],n[1],v)}),t.addEventListener(\"touchend\",function(){r(0,m,g,v)}),p.wheelListener=s(t,function(t,e){if(!1!==p.keyBindingMode){var r=p.flipX?1:-1,n=p.flipY?1:-1,a=i();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else{var o=-p.zoomSpeed*n*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,h*(Math.exp(o)-1))}}},!0),p}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\"),l=t(\"mouse-event-offset\")},{\"3d-view\":37,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455,\"right-now\":502}],811:[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(\"../plots\"),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=o.getSubplotIds(e,\"gl3d\"),i=0;i<n.length;i++){var l=n[i],u=o.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new a({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=s.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"gl3d\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._scene&&(n[s]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+s).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"gl3d\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],s=a.domain,u=a._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*s.x[0],y:n.t+n.h*(1-s.y[1]),width:n.w*(s.x[1]-s.x[0]),height:n.h*(s.y[1]-s.y[0]),preserveAspectRatio:\"none\"}),u.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=o.getSubplotIds(t,\"gl3d\"),r=0;r<e.length;r++){t[e[r]]._scene.updateFx(t.dragmode,t.hovermode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../../plot_api/edit_types\":756,\"../plots\":831,\"./layout/attributes\":812,\"./layout/defaults\":816,\"./layout/layout_attributes\":817,\"./scene\":821}],812:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],813:[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:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,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,separatethousands:i.separatethousands,tickformat:i.tickformat,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},\"plot\",\"from-root\")},{\"../../../components/color\":604,\"../../../lib/extend\":717,\"../../../plot_api/edit_types\":756,\"../../cartesian/layout_attributes\":783}],814:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var d=l[f];c=t[d]||{},h=e[d]={_id:d[0]+r.scene,_name:d},o(c,h,u,r.data),s(c,h,u,{font:r.font,letter:d[0],data:r.data,showGrid:!0,bgColor:r.bgColor,calendar:r.calendar}),u(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),u(\"title\",d[0]),h.setScale=i.noop,u(\"showspikes\")&&(u(\"spikesides\"),u(\"spikethickness\"),u(\"spikecolor\",h.color)),u(\"showaxeslabels\"),u(\"showbackground\")&&u(\"backgroundcolor\")}}},{\"../../../lib\":728,\"../../cartesian/axis_defaults\":774,\"../../cartesian/type_defaults\":794,\"./axis_attributes\":813,tinycolor2:534}],815:[function(t,e,r){\"use strict\";function n(){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 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a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):!0===n.mirror?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&!1!==n.showbackground?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":726,\"../../../lib/str2rgbarray\":749}],816:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),s=a.combine(i,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:s,calendar:n.calendar}),o.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../../registry\"),s=t(\"../../subplot_defaults\"),l=t(\"./axis_defaults\"),u=t(\"./layout_attributes\");e.exports=function(t,e,r){function a(e){if(!o){return i.validate(t[e],u[e])?t[e]:void 0}}var o=e._basePlotModules.length>1;s(t,e,r,{type:\"gl3d\",attributes:u,handleDefaults:n,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":604,\"../../../lib\":728,\"../../../registry\":846,\"../../subplot_defaults\":838,\"./axis_defaults\":814,\"./layout_attributes\":817}],817:[function(t,e,r){\"use strict\";function n(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\"}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{}),editType:\"camera\"},domain:{x:{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\"},y:{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\"},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:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\",editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":728,\"../../../lib/extend\":717,\"./axis_attributes\":813}],818:[function(t,e,r){\"use strict\";function n(){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]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":749}],819:[function(t,e,r){\"use strict\";function n(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}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],Math.abs(f._length)===1/0)c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),g=0;g<m.length;++g)m[g].x=m[g].x*t.dataScale[h],m[g].text=s(m[g].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var g=0;g<2;++g)e.bounds[g][h]=t.glplot.bounds[g][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":728,\"../../../lib/html2unicode\":726,\"../../cartesian/axes\":772}],820:[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}function i(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}e.exports=i},{}],821:[function(t,e,r){\"use strict\";function n(t){function e(e,r){var n=t.fullSceneLayout[e];return g.tickText(n,n.d2l(r),\"hover\").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+a+\" \"+o),n.setAttributeNS(null,\"width\",a),n.setAttributeNS(null,\"height\",o),k(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,u=t.glplot.selection,c=0;c<s.length;++c)r=t.traces[s[c]],\"skip\"!==r.data.hoverinfo&&r.handlePick(u)&&(l=r),r.setContourLevels&&r.setContourLevels();var h;if(null!==l){var f=_(t.glplot.cameraParams,u.dataCoordinate);r=l.data;var d=u.index,p=v.castHoverinfo(r,t.fullLayout,d),m=e(\"xaxis\",u.traceCoordinate[0]),y=e(\"yaxis\",u.traceCoordinate[1]),b=e(\"zaxis\",u.traceCoordinate[2]);if(\"all\"!==p){var x=p.split(\"+\");-1===x.indexOf(\"x\")&&(m=void 0),-1===x.indexOf(\"y\")&&(y=void 0),-1===x.indexOf(\"z\")&&(b=void 0),-1===x.indexOf(\"text\")&&(u.textLabel=void 0),-1===x.indexOf(\"name\")&&(l.name=void 0)}t.fullSceneLayout.hovermode&&v.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:m,yLabel:y,zLabel:b,text:u.textLabel,name:l.name,color:v.castHoverOption(r,d,\"bgcolor\")||l.color,borderColor:v.castHoverOption(r,d,\"bordercolor\"),fontFamily:v.castHoverOption(r,d,\"font.family\"),fontSize:v.castHoverOption(r,d,\"font.size\"),fontColor:v.castHoverOption(r,d,\"font.color\")},{container:n,gd:t.graphDiv});var w={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:r._input,fullData:r,curveNumber:r.index,pointNumber:d};v.appendArrayPointValue(w,r,d);var M={points:[w]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",M):t.graphDiv.emit(\"plotly_hover\",M),h=M}else v.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h);t.drawAnnotations(t)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");a.pixelRatio=t.pixelRatio,a.gl=h,a.canvas=c}try{t.glplot=f(a)}catch(e){b(t)}var o=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+\".camera\"]=u(t.camera),t.saveCamera(t.graphDiv.layout),t.graphDiv.emit(\"plotly_relayout\",e)}};if(t.glplot.canvas.addEventListener(\"mouseup\",o.bind(null,t)),t.glplot.canvas.addEventListener(\"wheel\",o.bind(null,t)),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(t){m.warn(\"Lost WebGL context.\"),t.preventDefault()}),!t.camera){var s=t.fullSceneLayout.camera\n",
       ";t.camera=x(t.container,{center:[s.center.x,s.center.y,s.center.z],eye:[s.eye.x,s.eye.y,s.eye.z],up:[s.up.x,s.up.y,s.up.z],zoomMin:.1,zoomMax:100,mode:\"orbit\"})}return t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=n.bind(null,t),t.traces={},!0}function a(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=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\",r.appendChild(a),this.svgContainer=a,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=w(e[this.id]),this.spikeOptions=M(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=p.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=p.getComponentMethod(\"annotations3d\",\"draw\"),i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(t){return{up:{x:t.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]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../registry\"),m=t(\"../../lib\"),g=t(\"../../plots/cartesian/axes\"),v=t(\"../../components/fx\"),y=t(\"../../lib/str2rgbarray\"),b=t(\"../../lib/show_no_webgl_msg\"),x=t(\"./camera\"),_=t(\"./project\"),w=t(\"./layout/convert\"),M=t(\"./layout/spikes\"),k=t(\"./layout/tick_marks\"),A=a.prototype;A.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void m.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];A.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=y(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),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)n=t[a],!0===n.visible&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,this.convertAnnotations(this),a=0;a<t.length;++a)n=t[a],!0===n.visible&&(i=this.traces[n.uid],i?i.update(n):(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)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],g=[],v={};for(a=0;a<3;++a){if(l=c[T[a]],u=l.type,u in v?(v[u].acc*=d[a],v[u].count+=1):v[u]={acc:d[a],count:1},l.autorange){m[0][a]=1/0,m[1][a]=-1/0;var b=this.glplot.objects,x=this.fullSceneLayout.annotations||[],_=l._name.charAt(0);for(o=0;o<b.length;o++){var w=b[o].bounds;m[0][a]=Math.min(m[0][a],w[0][a]/d[a]),m[1][a]=Math.max(m[1][a],w[1][a]/d[a])}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var k=l.r2l(M[_]);m[0][a]=Math.min(m[0][a],k),m[1][a]=Math.max(m[1][a],k)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var A=m[1][a]-m[0][a];m[0][a]-=A/32,m[1][a]+=A/32}}else{var S=l.range;m[0][a]=l.r2l(S[0]),m[1][a]=l.r2l(S[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),g[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var E=[1,1,1];for(a=0;a<3;++a){l=c[T[a]],u=l.type;var L=v[u];E[a]=Math.pow(L.acc,1/L.count)/d[a]}var C;if(\"auto\"===c.aspectmode)C=Math.max.apply(null,E)/Math.min.apply(null,E)<=4?E:[1,1,1];else if(\"cube\"===c.aspectmode)C=[1,1,1];else if(\"data\"===c.aspectmode)C=E;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var 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f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},A.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];g.setConvert(e,this.fullLayout),e.setScale=m.noop}},e.exports=a},{\"../../components/fx\":645,\"../../lib\":728,\"../../lib/show_no_webgl_msg\":747,\"../../lib/str2rgbarray\":749,\"../../plots/cartesian/axes\":772,\"../../registry\":846,\"./camera\":810,\"./layout/convert\":815,\"./layout/spikes\":818,\"./layout/tick_marks\":819,\"./project\":820,\"gl-plot3d\":221,\"webgl-context\":563}],822:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"../components/color/attributes\"),a=n({editType:\"calc\"});a.family.dflt='\"Open Sans\", verdana, arial, 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],824:[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=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":728}],825:[function(t,e,r){\"use 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h=s[c],f=o.getSubplotCalcData(r,\"mapbox\",h),d=e[h],p=d._subplot;d.accesstoken=u,p||(p=l({gd:t,container:e._glcontainer.node(),id:h,fullLayout:e,staticPlot:t._context.staticPlot}),e[h]._subplot=p),p.viewInitial||(p.viewInitial={center:a.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),p.plot(f,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"mapbox\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._subplot&&n[s]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"mapbox\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],l=a.domain,u=a._subplot,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:s.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"mapbox\"),r=0;r<e.length;r++){t[e[r]]._subplot.updateFx(t)}}},{\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../plots\":831,\"./constants\":823,\"./layout_attributes\":827,\"./layout_defaults\":828,\"./mapbox\":829,\"mapbox-gl\":343}],826:[function(t,e,r){\"use strict\";function n(t,e){this.mapbox=t,this.map=t.map,this.uid=t.uid+\"-layer\"+e,this.idSource=this.uid+\"-source\",this.idLayer=this.uid+\"-layer\",this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}function i(t){var e=t.source;return s.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function a(t){var e={},r={};switch(t.type){case\"circle\":s.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":s.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity});break;case\"fill\":s.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var n=t.symbol,i=l(n.textposition,n.iconsize);s.extendFlat(e,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset}),s.extendFlat(r,{\"icon-color\":t.color,\"text-color\":n.textfont.color,\"text-opacity\":t.opacity})}return{layout:e,paint:r}}function o(t){var e,r=t.sourcetype,n=t.source,i={type:r},a=\"string\"==typeof n;return\"geojson\"===r?e=\"data\":\"vector\"===r&&(e=a?\"url\":\"tiles\"),i[e]=n,i}var s=t(\"../../lib\"),l=t(\"./convert_text_opts\"),u=n.prototype;u.update=function(t){this.visible?this.needsNewSource(t)?(this.updateLayer(t),this.updateSource(t)):this.needsNewLayer(t)&&this.updateLayer(t):(this.updateSource(t),this.updateLayer(t)),this.updateStyle(t),this.visible=i(t)},u.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},u.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==t.below},u.updateSource=function(t){var e=this.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,i(t)){var r=o(t);e.addSource(this.idSource,r)}},u.updateLayer=function(t){var e=this.map;if(e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),this.layerType=t.type,i(t)){e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type},t.below);var r={visibility:\"visible\"};this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",r)}},u.updateStyle=function(t){var e=a(t);i(t)&&(this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.mapbox.setOptions(this.idLayer,\"setPaintProperty\",e.paint))},u.dispose=function(){var t=this.map;t.removeLayer(this.idLayer),t.removeSource(this.idSource)},e.exports=function(t,e,r){var i=new n(t,e);return i.update(r),i}},{\"../../lib\":728,\"./convert_text_opts\":824}],827:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../font_attributes\"),o=t(\"../../traces/scatter/attributes\").textposition,s=t(\"../../plot_api/edit_types\").overrideAll,l=a({});l.family.dflt=\"Open Sans Regular, Arial Unicode MS 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a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"./layout_attributes\");e.exports=function(t,e,r){o(t,e,r,{type:\"mapbox\",attributes:s,handleDefaults:n,partition:\"y\"})}},{\"../../lib\":728,\"../subplot_defaults\":838,\"./layout_attributes\":827}],829:[function(t,e,r){\"use strict\";function n(t){this.id=t.id,this.gd=t.gd,this.container=t.container,this.isStatic=t.staticPlot;var e=t.fullLayout;this.uid=e._uid+\"-\"+this.id,this.opts=e[this.id],this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(e),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[]}function i(t){var e=d.style.values,r=d.style.dflt,n={};return u.isPlainObject(t)?(n.id=t.id,n.style=t):\"string\"==typeof t?(n.id=t,n.style=-1!==e.indexOf(t)?a(t):t):(n.id=r,n.style=a(r)),n}function a(t){return f.styleUrlPrefix+t+\"-\"+f.styleUrlSuffix}function o(t){return[t.lon,t.lat]}var 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n=t(\"../../../components/color/attributes\"),i=t(\"./axis_attributes\"),a=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=a({domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:i,baxis:i,caxis:i},\"plot\",\"from-root\")},{\"../../../components/color/attributes\":603,\"../../../plot_api/edit_types\":756,\"./axis_attributes\":841}],845:[function(t,e,r){\"use strict\";function n(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e)}function i(t){a.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}var 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r,n,i,a,o,s,l=this,d=t.domain,p=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,g=d.x[1]-d.x[0],v=d.y[1]-d.y[0],y=g*e.w,b=v*e.h,x=t.sum,w=t.aaxis.min,M=t.baxis.min,k=t.caxis.min;y>_*b?(a=b,i=a*_):(i=y,a=i/_),o=g*i/y,s=v*a/b,r=e.l+e.w*p-i/2,n=e.t+e.h*(1-m)-a/2,l.x0=r,l.y0=n,l.w=i,l.h=a,l.sum=x,l.xaxis={type:\"linear\",range:[w+2*k-x,x-w-2*M],domain:[p-o/2,p+o/2],_id:\"x\"},h(l.xaxis,l.graphDiv._fullLayout),l.xaxis.setScale(),l.xaxis.isPtWithinRange=function(t){return t.a>=l.aaxis.range[0]&&t.a<=l.aaxis.range[1]&&t.b>=l.baxis.range[1]&&t.b<=l.baxis.range[0]&&t.c>=l.caxis.range[1]&&t.c<=l.caxis.range[0]},l.yaxis={type:\"linear\",range:[w,x-M-k],domain:[m-s/2,m+s/2],_id:\"y\"},h(l.yaxis,l.graphDiv._fullLayout),l.yaxis.setScale(),l.yaxis.isPtWithinRange=function(){return!0};var 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w=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+w+\"v3h-\"+(w+5.2)+\"l\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l2.6,1.5l-\"+w/2+\",\"+.87*w+\"Z\",k=\"m0.87,.5h-\"+w+\"v3h\"+(w+5.2)+\"l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-2.6,1.5l\"+w/2+\",\"+.87*w+\"Z\",A=\"m0,1l\"+w/2+\",\"+.87*w+\"l2.6,-1.5l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-\"+(w/2+2.6)+\",\"+(.87*w+4.5)+\"l2.6,1.5l\"+w/2+\",-\"+.87*w+\"Z\",T=!0;x.initInteractions=function(){function t(t,e,r){var n=F.getBoundingClientRect();w=e-n.left,S=r-n.top,E={a:R.aaxis.range[0],b:R.baxis.range[1],c:R.caxis.range[1]},C=E,L=R.aaxis.range[1]-E.a,I=o(R.graphDiv._fullLayout[R.id].bgcolor).getLuminance(),z=\"M0,\"+R.h+\"L\"+R.w/2+\", 0L\"+R.w+\",\"+R.h+\"Z\",D=!1,P=N.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+R.x0+\", \"+R.y0+\")\").style({fill:I>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",z),O=N.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+R.x0+\", 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s=\"translate(\"+-t+\",\"+-e+\")\";if(R.clipDefRelative.select(\"path\").attr(\"transform\",s),R.aaxis.range=[C.a,R.sum-C.b-C.c],R.baxis.range=[R.sum-C.a-C.c,C.b],R.caxis.range=[R.sum-C.a-C.b,C.c],R.drawAxes(!1),R.plotContainer.selectAll(\".crisp\").classed(\"crisp\",!1),R._hasClipOnAxisFalse){var l=R.plotContainer.select(\".scatterlayer\").selectAll(\".points\");l.selectAll(\".point\").call(c.hideOutsideRangePoints,R),l.selectAll(\".textpoint\").call(c.hideOutsideRangePoints,R)}}function p(t,e){if(t){var r={};r[R.id+\".aaxis.min\"]=C.a,r[R.id+\".baxis.min\"]=C.b,r[R.id+\".caxis.min\"]=C.c,s.relayout(j,r)}else 2===e&&x()}function v(){N.selectAll(\".select-outline\").remove()}function x(){var t={};t[R.id+\".aaxis.min\"]=0,t[R.id+\".baxis.min\"]=0,t[R.id+\".caxis.min\"]=0,j.emit(\"plotly_doubleclick\",null),s.relayout(j,t)}var 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i=n.traces[e];i&&d(r.modules[e]._module.attributes,i)}}function a(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&d(r.transformsRegistry[e].attributes,i)}}function o(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&&d(a,s)}}function s(t){return\"object\"==typeof t&&(t=t.type),t}var l=t(\"./lib/loggers\"),u=t(\"./lib/noop\"),c=t(\"./lib/push_unique\"),h=t(\"./lib/extend\"),f=h.extendFlat,d=h.extendDeepAll,p=t(\"./plots/attributes\"),m=t(\"./plots/layout_attributes\");r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.register=function(t,e,n,a){if(r.modules[e])return void l.log(\"Type \"+e+\" already registered\");for(var 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val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // pick coloring\\n    fragColor = vec4(pf.rgb, 1.0);\\n}\\n\":\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\n\\nuniform vec2 colorClamp;\\n\\nuniform float scatter;\\n\\nvarying vec4 fragColor;\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit, unit);\\n}\\n\\nvoid main() {\\n\\n    float x = 0.5 * sign(pf[3]) + 0.5;\\n    float prominence = abs(pf[3]);\\n    float depth = 1.0 - prominence;\\n\\n    mat4 pA = mat4(p0, p1, p2, p3);\\n    mat4 pB = mat4(p4, p5, p6, p7);\\n    mat4 pC = mat4(p8, p9, pa, pb);\\n    mat4 pD = mat4(pc, pd, pe, abs(pf));\\n\\n    float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:R,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),j=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":1001,regl:499}],1005:[function(t,e,r){\"use strict\";function n(t){return!(\"visible\"in t)||t.visible}function i(t){var e=t.range?t.range[0]:b.min(t.values),r=t.range?t.range[1]:b.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function a(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function o(t,e){return function(r,n){if(e){var i=e[n];return null===i||void 0===i?t(r):i}return t(r)}}function s(t,e,r){var n=i(r),a=r.ticktext;return r.tickvals?b.scale.ordinal().domain(r.tickvals.map(o(b.format(r.tickformat),a))).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):b.scale.linear().domain(n).range([t-e,e])}function l(t,e){return b.scale.linear().range([t-e,e])}function u(t){return b.scale.linear().domain(i(t))}function c(t){var e=i(t);return t.tickvals&&b.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function h(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return b.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return b.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function f(t,e,r){var i=M(e),a=i.trace,o=i.lineColor,s=i.cscale,l=a.line,c=a.domain,f=a.dimensions,d=t.width,p=a.labelfont,m=a.tickfont,g=a.rangefont,b=y.extendDeep({},l,{color:o.map(u({values:o,range:[l.cmin,l.cmax]})),blockLineCount:v.blockLineCount,canvasOverdrag:v.overdrag*v.canvasPixelRatio}),x=Math.floor(d*(c.x[1]-c.x[0])),_=Math.floor(t.height*(c.y[1]-c.y[0])),w=t.margin||{l:80,r:80,t:100,b:80},k=x,A=_;return{key:r,colCount:f.filter(n).length,dimensions:f,tickDistance:v.tickDistance,unitToColor:h(s),lines:b,labelFont:p,tickFont:m,rangeFont:g,translateX:c.x[0]*d,translateY:t.height-c.y[1]*t.height,pad:w,canvasWidth:k*v.canvasPixelRatio+2*b.canvasOverdrag,canvasHeight:A*v.canvasPixelRatio,width:k,height:A,canvasPixelRatio:v.canvasPixelRatio}}function d(t){var e=t.width,r=t.height,i=t.dimensions,a=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},h=v.verticalPadding/(r*a),f=1-2*h,d=function(t){return h+f*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=i.filter(n).map(function(e,n){var i=u(e),h=m[e.label];return m[e.label]=(h||0)+1,{key:e.label+(h?\"__\"+h:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:v.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(i).map(d),xScale:o,x:o(n),canvasX:o(n)*a,unitScale:l(r,v.verticalPadding),domainScale:s(r,v.verticalPadding,e),ordinalScale:c(e),domainToUnitScale:i,filter:e.constraintrange?e.constraintrange.map(i):[0,1],parent:p,model:t}}),p}function p(t){return v.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function m(t){t.classed(v.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var g=t(\"./lines\"),v=t(\"./constants\"),y=t(\"../../lib\"),b=t(\"d3\"),x=t(\"../../components/drawing\"),_=t(\"../../lib/gup\").keyFun,w=t(\"../../lib/gup\").repeat,M=t(\"../../lib/gup\").unwrap;e.exports=function(t,e,r,n,i){function o(t){var e=t.selectAll(\"defs\").data(w,_);e.enter().append(\"defs\");var r=e.selectAll(\"#\"+v.id.filterBarPattern).data(w,_);r.enter().append(\"pattern\").attr(\"id\",v.id.filterBarPattern).attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-v.bar.width).attr(\"width\",v.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var n=r.selectAll(\"rect\").data(w,_);n.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),n.attr(\"height\",function(t){return t.model.height}).attr(\"width\",v.bar.width).attr(\"x\",v.bar.width/2).attr(\"fill\",v.bar.fillcolor).attr(\"fill-opacity\",v.bar.fillopacity).attr(\"stroke\",v.bar.strokecolor).attr(\"stroke-opacity\",v.bar.strokeopacity).attr(\"stroke-width\",v.bar.strokewidth)}function s(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function l(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function u(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function c(t,e){return(v.scatter?u:l)(t,e)}function h(t){return t.ordinal?function(){return\"\"}:b.format(t.tickFormat)}function y(){W=!0,T=!0}function k(t){S=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=W&&r[0]===r[1];a&&(t.brush.clear(),b.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var l=s(e);!X&&l?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),X=!0):X&&!l&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),X=!1)}W=!1}function A(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],o=e.dimensions,s=o[t.xIndex].filter;if(!n&&t.ordinal&&(s[0]=a(t.ordinalScale,s[0]),s[1]=a(t.ordinalScale,s[1]),s[0]===s[1]&&(s[0]=Math.max(0,s[0]-.05),s[1]=Math.min(1,s[1]+.05)),b.select(this).transition().duration(150).call(t.brush.extent(s)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,T=\"ending\",i&&i.filterChanged){var l=t.domainToUnitScale.invert,u=s.map(l);i.filterChanged(e.key,t.visibleIndex,u)}}var T=!1,S=!0,E=r.filter(function(t){return M(t).trace.visible}).map(f.bind(0,n)).map(d);t.selectAll(\".\"+v.cn.parcoordsLineLayers).remove();var L=t.selectAll(\".\"+v.cn.parcoordsLineLayers).data(E,_);L.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(v.cn.parcoordsLineLayers,!0).style(\"box-sizing\",\"content-box\"),L.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-v.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var C=L.selectAll(\".\"+v.cn.parcoordsLineLayer).data(p,_),I={renderers:[],dimensions:[]},z=null;C.enter().append(\"canvas\").attr(\"class\",function(t){return v.cn.parcoordsLineLayer+\" \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",\"absolute\").filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(S&&t.lineLayer&&i&&i.hover){var e=b.event,r=this.width,n=this.height,a=b.mouse(this),o=a[0],s=a[1];if(o<0||s<0||o>=r||s>=n)return;var l=t.lineLayer.readPixel(o,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:o,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?i.hover(h):i.unhover&&i.unhover(h),z=c)}}),C.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth\n",
       "}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*v.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".\"+v.cn.parcoords).data(E,_);D.exit().remove(),D.enter().append(\"g\").classed(v.cn.parcoords,!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\",\"none\").call(o),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var P=D.selectAll(\".\"+v.cn.parcoordsControlView).data(w,_);P.enter().append(\"g\").classed(v.cn.parcoordsControlView,!0).style(\"box-sizing\",\"content-box\"),P.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var O=P.selectAll(\".\"+v.cn.yAxis).data(function(t){return t.dimensions},_);O.enter().append(\"g\").classed(v.cn.yAxis,!0).each(function(t){I.dimensions.push(t)}),P.each(function(t){c(O,t)}),C.each(function(t){t.lineLayer=g(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,v.scatter),t.viewModel[t.key]=t.lineLayer,I.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),O.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),O.call(b.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;S=!1,T||(t.x=Math.max(-v.overdrag,Math.min(t.model.width+v.overdrag,b.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,O.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}),c(O,e),O.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),b.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),O.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!s(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(T)return void(\"ending\"===T&&(T=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,c(O,e),b.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!s(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,i&&i.axesMoved&&i.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),O.exit().remove();var R=O.selectAll(\".\"+v.cn.axisOverlays).data(w,_);R.enter().append(\"g\").classed(v.cn.axisOverlays,!0),R.selectAll(\".\"+v.cn.axis).remove();var F=R.selectAll(\".\"+v.cn.axis).data(w,_);F.enter().append(\"g\").classed(v.cn.axis,!0),F.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain();b.select(this).call(b.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n:null).tickFormat(t.ordinal?function(t){return t}:null).scale(r)),x.font(F.selectAll(\"text\"),t.model.tickFont)}),F.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),F.selectAll(\"text\").style(\"text-shadow\",\"1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff\").style(\"cursor\",\"default\").style(\"user-select\",\"none\");var j=R.selectAll(\".\"+v.cn.axisHeading).data(w,_);j.enter().append(\"g\").classed(v.cn.axisHeading,!0);var N=j.selectAll(\".\"+v.cn.axisTitle).data(w,_);N.enter().append(\"text\").classed(v.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"user-select\",\"none\").style(\"pointer-events\",\"auto\"),N.attr(\"transform\",\"translate(0,\"+-v.axisTitleOffset+\")\").text(function(t){return t.label}).each(function(t){x.font(N,t.model.labelFont)});var B=R.selectAll(\".\"+v.cn.axisExtent).data(w,_);B.enter().append(\"g\").classed(v.cn.axisExtent,!0);var 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l=i(e,u),f=w+e.pxmid[0]*(1-l),d=M+e.pxmid[1]*(1-l),p=r.separators,v=[];-1!==s.indexOf(\"label\")&&v.push(e.label),-1!==s.indexOf(\"text\")&&(o.hovertext?v.push(Array.isArray(o.hovertext)?o.hovertext[e.i]:o.hovertext):o.text&&o.text[e.i]&&v.push(o.text[e.i])),-1!==s.indexOf(\"value\")&&v.push(m.formatPieValue(e.v,p)),-1!==s.indexOf(\"percent\")&&v.push(m.formatPiePercent(e.v/u.vTotal,p)),h.loneHover({x0:f-l*u.r,x1:f+l*u.r,y:d,text:v.join(\"<br>\"),name:-1!==s.indexOf(\"name\")?o.name:void 0,idealAlign:e.pxmid[0]<0?\"left\":\"right\",color:h.castHoverOption(g,e.i,\"bgcolor\")||e.color,borderColor:h.castHoverOption(g,e.i,\"bordercolor\"),fontFamily:h.castHoverOption(g,e.i,\"font.family\"),fontSize:h.castHoverOption(g,e.i,\"font.size\"),fontColor:h.castHoverOption(g,e.i,\"font.color\")},{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:t}),h.hover(t,n,\"pie\"),T=!0}function 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L=\"M\"+(w+e.px0[0])+\",\"+(M+e.px0[1])+b(e.px0,e.pxmid,!0,1)+b(e.pxmid,e.px0,!0,1)+\"Z\";E?A.attr(\"d\",\"M\"+(w+E*e.px0[0])+\",\"+(M+E*e.px0[1])+b(e.px0,e.pxmid,!1,E)+b(e.pxmid,e.px0,!1,E)+\"Z\"+L):A.attr(\"d\",L)}else{var C=b(e.px0,e.px1,!0,1);if(E){var I=1-E;A.attr(\"d\",\"M\"+(w+E*e.px1[0])+\",\"+(M+E*e.px1[1])+b(e.px1,e.px0,!1,E)+\"l\"+I*e.px0[0]+\",\"+I*e.px0[1]+C+\"Z\")}else A.attr(\"d\",\"M\"+w+\",\"+M+\"l\"+e.px0[0]+\",\"+e.px0[1]+C+\"Z\")}var z=Array.isArray(g.textposition)?g.textposition[e.i]:g.textposition,D=k.selectAll(\"g.slicetext\").data(e.text&&\"none\"!==z?[0]:[]);D.enter().append(\"g\").classed(\"slicetext\",!0),D.exit().remove(),D.each(function(){var r=c.select(this).selectAll(\"text\").data([0]);r.enter().append(\"text\").attr(\"data-notex\",1),r.exit().remove(),r.text(e.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(d.font,\"outside\"===z?g.outsidetextfont:g.insidetextfont).call(p.convertToTspans,t);var i,o=d.bBox(r.node());\"outside\"===z?i=a(o,e):(i=n(o,e,u),\"auto\"===z&&i.scale<1&&(r.call(d.font,g.outsidetextfont),g.outsidetextfont.family===g.insidetextfont.family&&g.outsidetextfont.size===g.insidetextfont.size||(o=d.bBox(r.node())),i=a(o,e)));var s=w+e.pxmid[0]*i.rCenter+(i.x||0),l=M+e.pxmid[1]*i.rCenter+(i.y||0);i.outside&&(e.yLabelMin=l-o.height/2,e.yLabelMid=l,e.yLabelMax=l+o.height/2,e.labelExtraX=0,e.labelExtraY=0,v=!0),r.attr(\"transform\",\"translate(\"+s+\",\"+l+\")\"+(i.scale<1?\"scale(\"+i.scale+\")\":\"\")+(i.rotate?\"rotate(\"+i.rotate+\")\":\"\")+\"translate(\"+-(o.left+o.right)/2+\",\"+-(o.top+o.bottom)/2+\")\")})}),v&&o(l,g),s.each(function(t){if(t.labelExtraX||t.labelExtraY){var e=c.select(this),r=e.select(\"g.slicetext text\");r.attr(\"transform\",\"translate(\"+t.labelExtraX+\",\"+t.labelExtraY+\")\"+r.attr(\"transform\"));var n=t.cxFinal+t.pxmid[0],i=t.cyFinal+t.pxmid[1],a=\"M\"+n+\",\"+i,o=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var s=t.labelExtraX*t.pxmid[1]/t.pxmid[0],l=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(s)>Math.abs(l)?a+=\"l\"+l*t.pxmid[0]/t.pxmid[1]+\",\"+l+\"H\"+(n+t.labelExtraX+o):a+=\"l\"+t.labelExtraX+\",\"+s+\"v\"+(l-s)+\"h\"+o}else a+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+o;e.append(\"path\").classed(\"textline\",!0).call(f.stroke,g.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,g.outsidetextfont.size/8),d:a,fill:\"none\"})}})})}),setTimeout(function(){u.selectAll(\"tspan\").each(function(){var t=c.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))})},0)}},{\"../../components/color\":604,\"../../components/drawing\":628,\"../../components/fx\":645,\"../../lib/svg_text_utils\":750,\"./helpers\":1011,d3:122}],1016:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"./style_one\");e.exports=function(t){t._fullLayout._pielayer.selectAll(\".trace\").each(function(t){var e=t[0],r=e.trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\".top 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n=t(\"../scattergl/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\"}}},{\"../scattergl/attributes\":1077}],1019:[function(t,e,r){\"use strict\";function n(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=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.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}},u.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=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.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(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new Int32Array(e),s=0;s<e;s++)i=l[s],a=u[s],r[s]=s,n[2*s]=i,n[2*s+1]=a,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var p=o(t.marker.color),m=o(t.marker.border.color),g=t.opacity*t.marker.opacity;p[3]*=g,this.pointcloudOptions.color=p;var v=t.marker.blend;if(null===v){v=l.length<100||u.length<100}this.pointcloudOptions.blend=v,m[3]*=g,this.pointcloudOptions.borderColor=m;var y=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=y,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions),this.expandAxesFast(d,b/2)},u.expandAxesFast=function(t,e){for(var r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":749,\"../scatter/get_trace_color\":1040,\"gl-pointcloud2d\":230}],1020:[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\")}},{\"../../lib\":728,\"./attributes\":1018}],1021:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter3d/calc\":1056,\"./attributes\":1018,\"./convert\":1019,\"./defaults\":1020}],1022:[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(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;e.exports=l({hoverinfo:s({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hoverlabel:o.hoverlabel,domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),node:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},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}},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},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:[]}}},\"calc\",\"nested\")},{\"../../components/color/attributes\":603,\"../../components/fx/attributes\":637,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/font_attributes\":796}],1023:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plots/plots\"),a=t(\"./plot\"),o=t(\"../../components/fx/layout_attributes\");r.name=\"sankey\",r.attr=\"type\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=i.getSubplotCalcData(t.calcdata,\"sankey\",\"sankey\");e.length&&a(t,e)},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()}},{\"../../components/fx/layout_attributes\":646,\"../../plot_api/edit_types\":756,\"../../plots/plots\":831,\"./plot\":1028}],1024:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=t.map(function(){return[]}),a=0;a<Math.min(e.length,r.length);a++){if(e[a]===r[a])return!0;n[e[a]].push(r[a])}return i(n).components.some(function(t){return t.length>1})}var i=t(\"strongly-connected-components\"),a=t(\"../../lib\"),o=t(\"../../lib/gup\").wrap;e.exports=function(t,e){return n(e.node.label,e.link.source,e.link.target)&&(a.error(\"Circularity is present in the Sankey data. Removing all nodes and links.\"),e.link.label=[],e.link.source=[],e.link.target=[],e.link.value=[],e.link.color=[],e.node.label=[],e.node.color=[]),o({link:e.link,node:e.node})}},{\"../../lib\":728,\"../../lib/gup\":725,\"strongly-connected-components\":528}],1025:[function(t,e,r){\"use strict\";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"cubic-in-out\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeCapture:\"node-capture\",nodeCentered:\"node-entered\",nodeLabelGuide:\"node-label-guide\",nodeLabel:\"node-label\",nodeLabelTextPath:\"node-label-text-path\"}}},{}],1026:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color/attributes\").defaults,o=t(\"../../components/color\"),s=t(\"tinycolor2\");e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,i,r,a)}u(\"node.label\"),u(\"node.pad\"),u(\"node.thickness\"),u(\"node.line.color\"),u(\"node.line.width\");var c=function(t){return a[t%a.length]};u(\"node.color\",e.node.label.map(function(t,e){return o.addOpacity(c(e),.8)})),u(\"link.label\"),u(\"link.source\"),u(\"link.target\"),u(\"link.value\"),u(\"link.line.color\"),u(\"link.line.width\"),u(\"link.color\",e.link.value.map(function(){return s(l.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\"})),u(\"domain.x\"),u(\"domain.y\"),u(\"orientation\"),u(\"valueformat\"),u(\"valuesuffix\"),u(\"arrangement\"),n.coerceFont(u,\"textfont\",n.extendFlat({},l.font));var h=function(t,r){\n",
       "return-1===e.link.source.indexOf(r)&&-1===e.link.target.indexOf(r)};e.node.label.some(h)&&n.warn(\"Some of the nodes are neither sources nor targets, they will not be displayed.\")}},{\"../../components/color\":604,\"../../components/color/attributes\":603,\"../../lib\":728,\"./attributes\":1022,tinycolor2:534}],1027:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.moduleType=\"trace\",n.name=\"sankey\",n.basePlotModule=t(\"./base_plot\"),n.categories=[\"noOpacity\"],n.meta={},e.exports=n},{\"./attributes\":1022,\"./base_plot\":1023,\"./calc\":1024,\"./defaults\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";function n(t){return\"\"!==t}function i(t,e){return t.filter(function(t){return t.key===e.traceId})}function a(t,e){p.select(t).select(\"path\").style(\"fill-opacity\",e),p.select(t).select(\"rect\").style(\"fill-opacity\",e)}function o(t){p.select(t).select(\"text.name\").style(\"fill\",\"black\")}function s(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function l(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function u(t,e,r){e&&r&&i(r,e).selectAll(\".\"+b.sankeyLink).filter(s(e)).call(h.bind(0,e,r,!1))}function c(t,e,r){e&&r&&i(r,e).selectAll(\".\"+b.sankeyLink).filter(s(e)).call(f.bind(0,e,r,!1))}function h(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",.4),a&&i(e,t).selectAll(\".\"+b.sankeyLink).filter(function(t){return t.link.label===a}).style(\"fill-opacity\",.4),r&&i(e,t).selectAll(\".\"+b.sankeyNode).filter(l(t)).call(u)}function f(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),a&&i(e,t).selectAll(\".\"+b.sankeyLink).filter(function(t){return t.link.label===a}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),r&&i(e,t).selectAll(b.sankeyNode).filter(l(t)).call(c)}function d(t,e){var r=t.hoverlabel||{},n=y.nestedProperty(r,e).get();return!Array.isArray(n)&&n}var p=t(\"d3\"),m=t(\"./render\"),g=t(\"../../components/fx\"),v=t(\"../../components/color\"),y=t(\"../../lib\"),b=t(\"./constants\").cn;e.exports=function(t,e){var r=t._fullLayout,i=r._paper,s=r._size,l=function(e,r){var n=r.link;n.originalEvent=p.event,t._hoverdata=[n],g.click(t,{target:!0})},y=function(e,r,n){var i=r.link;i.originalEvent=p.event,p.select(e).call(h.bind(0,r,n,!0)),g.hover(t,i,\"sankey\")},x=function(e,i){var s=i.link.trace,l=t._fullLayout._paperdiv.node().getBoundingClientRect(),u=e.getBoundingClientRect(),c=u.left+u.width/2,h=u.top+u.height/2,f=g.loneHover({x:c-l.left,y:h-l.top,name:p.format(i.valueFormat)(i.link.value)+i.valueSuffix,text:[i.link.label||\"\",[\"Source:\",i.link.source.label].join(\" \"),[\"Target:\",i.link.target.label].join(\" \")].filter(n).join(\"<br>\"),color:d(s,\"bgcolor\")||v.addOpacity(i.tinyColorHue,1),borderColor:d(s,\"bordercolor\"),fontFamily:d(s,\"font.family\"),fontSize:d(s,\"font.size\"),fontColor:d(s,\"font.color\"),idealAlign:p.event.x<c?\"right\":\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(f,.65),o(f)},_=function(e,n,i){p.select(e).call(f.bind(0,n,i,!0)),t.emit(\"plotly_unhover\",{event:p.event,points:[n.link]}),g.loneUnhover(r._hoverlayer.node())},w=function(e,r,n){var i=r.node;i.originalEvent=p.event,t._hoverdata=[i],p.select(e).call(c,r,n),g.click(t,{target:!0})},M=function(e,r,n){var i=r.node;i.originalEvent=p.event,p.select(e).call(u,r,n),g.hover(t,i,\"sankey\")},k=function(e,i){var s=i.node.trace,l=p.select(e).select(\".\"+b.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),c=l.node().getBoundingClientRect(),h=c.left-2-u.left,f=c.right+2-u.left,m=c.top+c.height/4-u.top,v=g.loneHover({x0:h,x1:f,y:m,name:p.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,[\"Incoming flow count:\",i.node.targetLinks.length].join(\" \"),[\"Outgoing flow count:\",i.node.sourceLinks.length].join(\" \")].filter(n).join(\"<br>\"),color:d(s,\"bgcolor\")||i.tinyColorHue,borderColor:d(s,\"bordercolor\"),fontFamily:d(s,\"font.family\"),fontSize:d(s,\"font.size\"),fontColor:d(s,\"font.color\"),idealAlign:\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(v,.85),o(v)},A=function(e,n,i){p.select(e).call(c,n,i),t.emit(\"plotly_unhover\",{event:p.event,points:[n.node]}),g.loneUnhover(r._hoverlayer.node())};m(i,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},{linkEvents:{hover:y,follow:x,unhover:_,select:l},nodeEvents:{hover:M,follow:k,unhover:A,select:w}})}},{\"../../components/color\":604,\"../../components/fx\":645,\"../../lib\":728,\"./constants\":1025,\"./render\":1029,d3:122}],1029:[function(t,e,r){\"use strict\";function n(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=t[e].x,t[e].originalY=t[e].y,-1===r.indexOf(t[e].x)&&r.push(t[e].x);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)}function i(t){t.lastDraggedX=t.x,t.lastDraggedY=t.y}function a(t){return function(e){return e.node.originalX===t.node.originalX}}function o(t){for(var e=0;e<t.length;e++)t[e].y=t[e].y+t[e].dy/2}function s(t){for(var e=0;e<t.length;e++)t[e].y=t[e].y-t[e].dy/2}function l(t,e,r){for(var 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o(w),{key:r,trace:i,guid:Math.floor(1e12*(1+Math.random())),horizontal:c,width:x,height:_,nodePad:h,nodeLineColor:d,nodeLineWidth:p,linkLineColor:m,linkLineWidth:g,valueFormat:v,valueSuffix:y,textFont:b,translateX:a.x[0]*x+t.margin.l,translateY:t.height-a.y[1]*t.height+t.margin.t,dragParallel:c?_:x,dragPerpendicular:c?x:_,nodes:w,links:M,arrangement:u,sankey:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function u(t,e,r){var n=I(r.color),i=r.source.label+\"|\"+r.target.label,a=t[i];t[i]=(a||0)+1;var o=i+\"__\"+t[i];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:o,traceId:e.key,link:r,tinyColorHue:z.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,interactionState:e.interactionState}}function c(t,e,r){var n=I(r.color),i=L.nodePadAcross,a=e.nodePad/2,o=r.dx,s=Math.max(.5,r.dy),l=r.label,u=t[l];t[l]=(u||0)+1;var c=l+\"__\"+t[l];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:c,traceId:e.key,node:r,nodePad:e.nodePad,nodeLineColor:e.nodeLineColor,nodeLineWidth:e.nodeLineWidth,textFont:e.textFont,size:e.horizontal?e.height:e.width,visibleWidth:Math.ceil(o),visibleHeight:s,zoneX:-i,zoneY:-a,zoneWidth:o+2*i,zoneHeight:s+2*a,labelY:e.horizontal?r.dy/2+1:r.dx/2+1,left:1===r.originalLayer,sizeAcross:e.width,forceLayouts:e.forceLayouts,horizontal:e.horizontal,darkBackground:n.getBrightness()<=128,tinyColorHue:z.tinyRGB(n),tinyColorAlpha:n.getAlpha(),valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,arrangement:e.arrangement,uniqueNodeLabelPathId:[e.guid,e.key,c].join(\" \"),interactionState:e.interactionState}}function h(t){t.attr(\"transform\",function(t){return\"translate(\"+t.node.x.toFixed(3)+\", \"+(t.node.y-t.node.dy/2).toFixed(3)+\")\"})}function f(t){var e=t.sankey.nodes();s(e);var r=t.sankey.link()(t.link);return o(e),r}function d(t){t.call(h)}function 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k(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",function(t){t.interactionState.dragInProgress||(r.hover(this,t,e),t.interactionState.hovered=[this,t])}).on(\"mousemove.basic\",function(t){t.interactionState.dragInProgress||(r.follow(this,t),t.interactionState.hovered=[this,t])}).on(\"mouseout.basic\",function(t){t.interactionState.dragInProgress||(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||r.select(this,t,e)})}function A(t,e,r){var n=C.behavior.drag().origin(function(t){return t.node}).on(\"dragstart\",function(n){if(\"fixed\"!==n.arrangement&&(R.raiseToTop(this),n.interactionState.dragInProgress=n.node,i(n.node),n.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,n.interactionState.hovered),n.interactionState.hovered=!1),\"snap\"===n.arrangement)){var a=n.traceId+\"|\"+Math.floor(n.node.originalX);n.forceLayouts[a]?n.forceLayouts[a].alpha(1):T(t,a,n),S(t,e,n,a)}}).on(\"drag\",function(r){if(\"fixed\"!==r.arrangement){var n=C.event.x,o=C.event.y;\"snap\"===r.arrangement?(r.node.x=n,r.node.y=o):(\"freeform\"===r.arrangement&&(r.node.x=n),r.node.y=Math.max(r.node.dy/2,Math.min(r.size-r.node.dy/2,o))),i(r.node),\"snap\"!==r.arrangement&&(r.sankey.relayout(),p(t.filter(a(r)),e))}}).on(\"dragend\",function(t){t.interactionState.dragInProgress=!1});t.on(\".drag\",null).call(n)}function T(t,e,r){var n=r.sankey.nodes().filter(function(t){return t.originalX===r.node.originalX});r.forceLayouts[e]=O.forceSimulation(n).alphaDecay(0).force(\"collide\",O.forceCollide().radius(function(t){return t.dy/2+r.nodePad/2}).strength(1).iterations(L.forceIterations)).force(\"constrain\",E(t,e,n,r)).stop()}function S(t,e,r,n){window.requestAnimationFrame(function i(){for(var o=0;o<L.forceTicksPerFrame;o++)r.forceLayouts[n].tick();r.sankey.relayout(),p(t.filter(a(r)),e),r.forceLayouts[n].alpha()>0&&window.requestAnimationFrame(i)})}function E(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)}}var L=t(\"./constants\"),C=t(\"d3\"),I=t(\"tinycolor2\"),z=t(\"../../components/color\"),D=t(\"../../components/drawing\"),P=t(\"@plotly/d3-sankey\").sankey,O=t(\"d3-force\"),R=t(\"../../lib\"),F=t(\"../../lib/gup\").keyFun,j=t(\"../../lib/gup\").repeat,N=t(\"../../lib/gup\").unwrap;e.exports=function(t,e,r,i){var a=t.selectAll(\".\"+L.cn.sankey).data(e.filter(function(t){return N(t).trace.visible}).map(l.bind(null,r)),F);a.exit().remove(),a.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\").style(\"box-sizing\",\"content-box\").attr(\"transform\",v),a.transition().ease(L.ease).duration(L.duration).attr(\"transform\",v);var o=a.selectAll(\".\"+L.cn.sankeyLinks).data(j,F);o.enter().append(\"g\").classed(L.cn.sankeyLinks,!0).style(\"fill\",\"none\");var s=o.selectAll(\".\"+L.cn.sankeyLink).data(function(t){var e={};return t.sankey.links().filter(function(t){return t.value}).map(u.bind(null,e,t))},F);s.enter().append(\"path\").classed(L.cn.sankeyLink,!0).attr(\"d\",f).call(k,a,i.linkEvents),s.style(\"stroke\",function(t){return g(t)?z.tinyRGB(I(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return g(t)?z.opacity(t.linkLineColor):t.tinyColorAlpha}).style(\"stroke-width\",function(t){return g(t)?t.linkLineWidth:1}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),s.transition().ease(L.ease).duration(L.duration).attr(\"d\",f),s.exit().transition().ease(L.ease).duration(L.duration).style(\"opacity\",0).remove();var d=a.selectAll(\".\"+L.cn.sankeyNodeSet).data(j,F);d.enter().append(\"g\").classed(L.cn.sankeyNodeSet,!0),d.style(\"cursor\",function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}});var p=d.selectAll(\".\"+L.cn.sankeyNode).data(function(t){var e=t.sankey.nodes(),r={};return n(e),e.filter(function(t){return t.value}).map(c.bind(null,r,t))},F);p.enter().append(\"g\").classed(L.cn.sankeyNode,!0).call(h).call(k,a,i.nodeEvents),p.call(A,s,i),p.transition().ease(L.ease).duration(L.duration).call(h),p.exit().transition().ease(L.ease).duration(L.duration).style(\"opacity\",0).remove();var T=p.selectAll(\".\"+L.cn.nodeRect).data(j);T.enter().append(\"rect\").classed(L.cn.nodeRect,!0).call(m),T.style(\"stroke-width\",function(t){return t.nodeLineWidth}).style(\"stroke\",function(t){return z.tinyRGB(I(t.nodeLineColor))}).style(\"stroke-opacity\",function(t){return z.opacity(t.nodeLineColor)}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),T.transition().ease(L.ease).duration(L.duration).call(m);var S=p.selectAll(\".\"+L.cn.nodeCapture).data(j);S.enter().append(\"rect\").classed(L.cn.nodeCapture,!0).style(\"fill-opacity\",0),S.attr(\"x\",function(t){return t.zoneX}).attr(\"y\",function(t){return t.zoneY}).attr(\"width\",function(t){return t.zoneWidth}).attr(\"height\",function(t){return t.zoneHeight});var E=p.selectAll(\".\"+L.cn.nodeCentered).data(j);E.enter().append(\"g\").classed(L.cn.nodeCentered,!0).attr(\"transform\",y),E.transition().ease(L.ease).duration(L.duration).attr(\"transform\",y);var C=E.selectAll(\".\"+L.cn.nodeLabelGuide).data(j);C.enter().append(\"path\").classed(L.cn.nodeLabelGuide,!0).attr(\"id\",function(t){return t.uniqueNodeLabelPathId}).attr(\"d\",b).attr(\"transform\",x),C.transition().ease(L.ease).duration(L.duration).attr(\"d\",b).attr(\"transform\",x);var P=E.selectAll(\".\"+L.cn.nodeLabel).data(j);P.enter().append(\"text\").classed(L.cn.nodeLabel,!0).attr(\"transform\",_).style(\"user-select\",\"none\").style(\"cursor\",\"default\").style(\"fill\",\"black\"),P.style(\"text-shadow\",function(t){return t.horizontal?\"-1px 1px 1px #fff, 1px 1px 1px #fff, 1px -1px 1px #fff, -1px -1px 1px 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r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\"),n.mergeArray(e.customdata,t,\"data\"),n.mergeArray(e.textposition,t,\"tp\"),e.textfont&&(n.mergeArray(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.mergeArray(i.size,t,\"ms\"),n.mergeArray(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.mergeArray(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\":728}],1031:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../plots/font_attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../components/drawing\"),u=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",dflt:1,editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dy:{valType:\"number\",dflt:1,editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},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\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},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:u({},s,{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\"],dflt:\"none\",editType:\"calc\"},fillcolor:{valType:\"color\",editType:\"style\"},marker:u({symbol:{valType:\"enumerated\",values:l.symbolList,dflt:\"circle\",arrayOk:!0,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0,editType:\"style\"},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0,editType:\"calcIfAutorange\"},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\"},showscale:{valType:\"boolean\",dflt:!1,editType:\"calc\"},colorbar:a,line:u({width:{valType:\"number\",min:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},n(\"marker.line\")),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\"},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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u=t.opacity;if(t.marker&&t.marker.opacity&&(u*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:u,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(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),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.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(a):(this.textMarkers=p(a),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),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=m(n),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var f=i(l.position,l.delaunayColor,l.delaunayAxis);f.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(f):(f.gl=o,this.delaunayMesh=g(f),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)},A.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=f},{\"../../constants/gl3d_dashes\":704,\"../../constants/gl3d_markers\":705,\"../../lib\":728,\"../../lib/gl_format_color\":724,\"../../lib/str2rgbarray\":749,\"../scatter/make_bubble_size_func\":1047,\"./calc_errors\":1057,\"delaunay-triangulate\":123,\"gl-error3d\":161,\"gl-line3d\":172,\"gl-mesh3d\":205,\"gl-scatter3d\":251}],1059:[function(t,e,r){\"use strict\";function n(t,e,r,n){var a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");return i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),a<o.length&&(e.x=o.slice(0,a)),a<s.length&&(e.y=s.slice(0,a)),a<l.length&&(e.z=l.slice(0,a))),a}var i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../scatter/subtypes\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,i){function f(r,n){return a.coerce(t,e,h,r,n)}if(!n(t,e,f,i))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),o.hasLines(e)&&(f(\"connectgaps\"),l(t,e,r,i,f)),o.hasMarkers(e)&&s(t,e,r,i,f),o.hasText(e)&&u(t,e,i,f);var d=(e.line||{}).color,p=(e.marker||{}).color;f(\"surfaceaxis\")>=0&&f(\"surfacecolor\",d||p);for(var m=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var v=\"projection.\"+m[g];f(v+\".show\")&&(f(v+\".opacity\"),f(v+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../../registry\":846,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1055}],1060:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl3d_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl3d_markers\":705,\"../../plots/gl3d\":811,\"../scatter/colorbar\":1034,\"./attributes\":1055,\"./calc\":1056,\"./convert\":1058,\"./defaults\":1059}],1061:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({width:c.width,editType:\"calc\"},a(\"marker\".line)),gradient:l.gradient,editType:\"calc\"},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1062:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/colorscale_calc\"),s=t(\"../scatter/arrays_to_calcdata\"),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 u;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var c,h,f=e.a.length,d=new Array(f),p=!1;for(u=0;u<f;u++)if(c=e.a[u],h=e.b[u],n(c)&&n(h)){var m=r.ab2xy(+c,+h,!0),g=r.isVisible(+c,+h);g||(p=!0),d[u]={x:m[0],y:m[1],a:c,b:h,vis:g}}else d[u]={x:!1,y:!1};e._needsCull=p,d[0].carpet=r,d[0].trace=e;var v,y;if(a.hasMarkers(e)&&(v=e.marker,y=v.size,Array.isArray(y))){var b={type:\"linear\"};i.setConvert(b),y=b.makeCalcdata(e.marker,\"size\"),y.length>f&&y.splice(f,y.length-f)}return o(e),s(d,e),d}}},{\"../../plots/cartesian/axes\":772,\"../carpet/lookup_carpetid\":903,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131}],1063:[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\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),g=d(\"b\");if(!(p=Math.min(m.length,g.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),g&&p<g.length&&(e.b=g.slice(0,p)),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d,{gradient:!0}),a.hasText(e)&&u(t,e,f,d);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),v.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),d(\"hoveron\",v.join(\"+\")||\"points\")}},{\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/line_shape_defaults\":1045,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1061}],1064:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,v.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=f.hi||d.hoverinfo,g=m.split(\"+\"),v=[];-1!==g.indexOf(\"all\")&&(g=[\"a\",\"b\"]),-1!==g.indexOf(\"a\")&&a(p.aaxis,f.a),-1!==g.indexOf(\"b\")&&a(p.baxis,f.b);var y=p.ab2ij([f.a,f.b]),b=Math.floor(y[0]),x=y[0]-b,_=Math.floor(y[1]),w=y[1]-_,M=p.evalxy([],b,_,x,w);return v.push(\"y: \"+M[1].toFixed(3)),s.extraText=v.join(\"<br>\"),o}}},{\"../scatter/hover\":1041}],1065:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":782,\"../scatter/colorbar\":1034,\"./attributes\":1061,\"./calc\":1062,\"./defaults\":1063,\"./hover\":1064,\"./plot\":1066,\"./select\":1067,\"./style\":1068}],1066:[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){var o,s,l,u=r[0][0].carpet,c={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,c,r),o=0;o<r.length;o++)s=r[o][0].trace,l=c.plot.selectAll(\"g.trace\"+s.uid+\" .js-line\"),a.setClipUrl(l,u._clipPathId)}},{\"../../components/drawing\":628,\"../../plots/cartesian/axes\":772,\"../scatter/plot\":1049}],1067:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":1050}],1068:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":1051}],1069:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.marker,c=n.line,h=u.line;e.exports=l({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:c.color,width:c.width,dash:o},connectgaps:n.connectgaps,marker:s({symbol:u.symbol,opacity:u.opacity,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,showscale:u.showscale,colorbar:u.colorbar,line:s({width:h.width},a(\"marker.line\")),gradient:u.gradient},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1070:[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\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":707,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"fast-isnumeric\":131}],1071:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f,{gradient:!0}),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f)}},{\"../../lib\":728,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1069}],1072:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null,t}},{}],1073:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=e.hi||t.hoverinfo,o=\"all\"===i?u.hoverinfo.flags:i.split(\"+\"),s=-1!==o.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==o.indexOf(\"lon\"),h=-1!==o.indexOf(\"lat\"),f=-1!==o.indexOf(\"text\"),d=[];return s?d.push(e.loc):c&&h?d.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):c?d.push(\"lon: \"+n(e.lonlat[0])):h&&d.push(\"lat: \"+n(e.lonlat[1])),f&&l(e,t,d),d.join(\"<br>\")}var i=t(\"../../components/fx\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"../scatter/fill_hover_text\"),u=t(\"./attributes\");e.exports=function(t,e,r){function a(t){var n=t.lonlat;if(n[0]===o)return 1/0;if(d(n))return 1/0;var i=p(n),a=p([e,r]),s=Math.abs(i[0]-a[0]),l=Math.abs(i[1]-a[1]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-u,1-3/u)}var l=t.cd,u=l[0].trace,c=t.xa,h=t.ya,f=t.subplot,d=f.projection.isLonLatOverEdges,p=f.project;if(i.getClosest(l,a,t),!1!==t.index){var m=l[t.index],g=m.lonlat,v=[c.c2p(g),h.c2p(g)],y=m.mrc||1;return 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],t.color=s(u,m),t.extraText=n(u,m,f.mockAxis),[t]}}},{\"../../components/fx\":645,\"../../constants/numerical\":707,\"../../plots/cartesian/axes\":772,\"../scatter/fill_hover_text\":1038,\"../scatter/get_trace_color\":1040,\"./attributes\":1069}],1074:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),\n",
       "n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/geo\":800,\"../scatter/colorbar\":1034,\"./attributes\":1069,\"./calc\":1070,\"./defaults\":1071,\"./event_data\":1072,\"./hover\":1073,\"./plot\":1075,\"./select\":1076}],1075:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.layers.frontplot.selectAll(\".trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(e){var r=e[0].trace,n=a.select(this);n.selectAll(\"path.point\").call(o.pointStyle,r,t.graphDiv),n.selectAll(\"text\").call(o.textPointStyle,r,t.graphDiv)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\");e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.layers.frontplot.select(\".scatterlayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace scattergeo\"),c.exit().remove(),c.selectAll(\"*\").remove(),c.each(function(t){var e=t[0].node3=a.select(this),r=t[0].trace;if(d.hasLines(r)||\"none\"!==r.fill){var n=f.calcTraceToLineCoords(t),i=\"none\"!==r.fill?f.makePolygon(n):f.makeLine(n);e.selectAll(\"path.js-line\").data([{geojson:i,trace:r}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}d.hasMarkers(r)&&e.selectAll(\"path.point\").data(l.identity).enter().append(\"path\").classed(\"point\",!0).each(function(t){o(t,this)}),d.hasText(r)&&e.selectAll(\"g\").data(l.identity).enter().append(\"g\").append(\"text\").each(function(t){o(t,this)})}),i(t)}},{\"../../components/color\":604,\"../../components/drawing\":628,\"../../constants/numerical\":707,\"../../lib\":728,\"../../lib/geo_location_utils\":720,\"../../lib/geojson_utils\":721,\"../../lib/topojson_utils\":753,\"../scatter/subtypes\":1052,d3:122}],1076:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports=function(t,e){var r,a,o,s,l,u=t.cd,c=t.xaxis,h=t.yaxis,f=[],d=u[0].trace,p=u[0].node3;if(!n.hasMarkers(d)&&!n.hasText(d))return[];var m=d.marker,g=Array.isArray(m.opacity)?1:m.opacity;if(!1===e)for(l=0;l<u.length;l++)u[l].dim=0;else for(l=0;l<u.length;l++)r=u[l],a=r.lonlat,o=c.c2p(a),s=h.c2p(a),e.contains([o,s])?(f.push({pointNumber:l,lon:a[0],lat:a[1]}),r.dim=0):r.dim=1;return p.selectAll(\"path.point\").style(\"opacity\",function(t){return((t.mo+1||g+1)-1)*(t.dim?i:1)}),p.selectAll(\"text\").style(\"opacity\",function(t){return t.dim?i:1}),f}},{\"../../constants/interactions\":706,\"../scatter/subtypes\":1052}],1077:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl2d_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.line,c=n.marker,h=c.line,f=e.exports=l({x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:s({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:s({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\"},{\"../../components/colorscale/color_attributes\":611,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../scatter/attributes\":1031}],1078:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../scatter/arrays_to_calcdata\"),a=t(\"../scatter/colorscale_calc\");e.exports=function(t,e){var r,o=t._fullLayout.dragmode;if(\"lasso\"===o||\"select\"===o){var s,l=n.getFromId(t,e.xaxis||\"x\"),u=n.getFromId(t,e.yaxis||\"y\"),c=l.makeCalcdata(e,\"x\"),h=u.makeCalcdata(e,\"y\"),f=Math.min(c.length,h.length);for(r=new Array(f),s=0;s<f;s++)r[s]={x:c[s],y:h[s]}}else r=[{x:!1,y:!1,trace:e,t:{}}],i(r,e);return a(e),r}},{\"../../plots/cartesian/axes\":772,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035}],1079:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 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Array.isArray(e)||(e=[e]),a(t,e,r)}function a(t,e,r){for(var n=new Array(r),i=e[0],a=0;a<r;++a)n[a]=t(a>=e.length?i:e[a]);return n}function o(t,e,r){return l(O(t,r),P(e,r),r)}function s(t,e,r,n){var i=k(t,e,n);return i=Array.isArray(i[0])?i:a(y.identity,[i],n),l(i,P(r,n),n)}function l(t,e,r){for(var n=new Array(4*r),i=0;i<r;++i){for(var a=0;a<3;++a)n[4*i+a]=t[i][a];n[4*i+3]=t[i][3]*e[i]}return n}function u(t){return\"\"===t.split(\"-open\")[1]}function c(t,e,r,n,i){var a,o=i?C:1;for(a=0;a<3;a++)t[4*r+a]=e[4*n+a];t[4*r+a]=o*e[4*n+a]}function h(t){for(var e,r=t.length,n=Math.max(1,(r-1)/Math.min(Math.max(r,1),1e3)),i=0;i<r;i+=n)if(e=t[Math.floor(i)],!(v(e)||e instanceof Date))return!1;return!0}function f(t,e,r){var i=new n(t,e.uid);return i.update(e,r),i}var d=t(\"gl-scatter2d\"),p=t(\"gl-scatter2d-sdf\"),m=t(\"gl-line2d\"),g=t(\"gl-error2d\"),v=t(\"fast-isnumeric\"),y=t(\"../../lib\"),b=t(\"../../plots/cartesian/axes\"),x=t(\"../../plots/cartesian/axis_autotype\"),_=t(\"../../components/errorbars\"),w=t(\"../../lib/str2rgbarray\"),M=t(\"../../lib/typed_array_truncate\"),k=t(\"../../lib/gl_format_color\"),A=t(\"../scatter/subtypes\"),T=t(\"../scatter/make_bubble_size_func\"),S=t(\"../scatter/get_trace_color\"),E=t(\"../../constants/gl2d_markers\"),L=t(\"../../constants/gl2d_dashes\"),C=t(\"../../constants/interactions\").DESELECTDIM,I=[\"xaxis\",\"yaxis\"],z=[0,0,0,0],D=n.prototype;D.initObject=function(t,e,r){function n(){u||(u=t(s,e),u._trace=o,u._index=r),u.update(e)}function i(){u&&u.update(l)}function a(){u&&u.dispose()}var o=this,s=o.scene.glplot,l=y.extendFlat({},e),u=null;return{options:e,update:n,clear:i,dispose:a}},D.handlePick=function(t){var e=t.pointId;(t.object!==this.line||this.connectgaps)&&(e=this.idToIndex[t.pointId]);var r=this.pickXData[e];return{trace:this,dataCoord:t.dataCoord,traceCoord:[v(r)||!y.isDateTime(r)?r:y.dateTime2ms(r),this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},D.isFancy=function(t){if(\"linear\"!==this.scene.xaxis.type&&\"date\"!==this.scene.xaxis.type)return!0;if(\"linear\"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;if(this.hasMarkers){var e=t.marker||{};if(Array.isArray(e.symbol)||\"circle\"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.color)||Array.isArray(e.line.width)||Array.isArray(e.line.color)||Array.isArray(e.opacity))return!0}return!(!this.hasLines||this.connectgaps)||(!!this.hasErrorX||!!this.hasErrorY)};var P=i.bind(null,function(t){return+t}),O=i.bind(null,w),R=i.bind(null,function(t){return E[t]?t:\"circle\"});D.update=function(t,e){!0!==t.visible?(this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1):(this.isVisible=!0,this.hasLines=A.hasLines(t),this.hasErrorX=!0===t.error_x.visible,this.hasErrorY=!0===t.error_y.visible,this.hasMarkers=A.hasMarkers(t)),this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.connectgaps=!!t.connectgaps,this.isVisible?this.isFancy(t)?this.updateFancy(t):this.updateFast(t):(this.line.clear(),this.errorX.clear(),this.errorY.clear(),this.scatter.clear(),this.fancyScatter.clear()),this.scene.glplot.objects.sort(function(t,e){return t._index-e._index}),this.index=t.index,this.color=S(t,{}),e&&e[0]&&!e[0]._glTrace&&(e[0]._glTrace=this)},D.updateFast=function(t){var e,r,n,i,a,o=this.xData=this.pickXData=t.x,s=this.yData=this.pickYData=t.y,l=o.length,u=new Array(l),c=new Float64Array(2*l),f=this.bounds,d=0,p=0,m=t.selection,g=t.xcalendar,b=h(o),_=!b&&\"date\"===x(o,g);if(b||_)for(e=0;e<l;++e)i=o[e],a=s[e],v(a)&&(b||(i=y.dateTime2ms(i,g)),c[p++]=i,c[p++]=a,u[d++]=e,f[0]=Math.min(f[0],i),f[1]=Math.min(f[1],a),f[2]=Math.max(f[2],i),f[3]=Math.max(f[3],a));if(c=M(c,p),this.idToIndex=u,m&&m.length)for(r=new Float64Array(2*m.length),e=0,n=m.length;e<n;e++)r[2*e+0]=m[e].x,r[2*e+1]=m[e].y;this.updateLines(t,c),this.updateError(\"X\",t),this.updateError(\"Y\",t);var k;if(this.hasMarkers){var A,T,S;r?(this.scatter.options.positions=null,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity*C,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update(),this.scatter.options.positions=c,this.selectScatter.options.positions=r,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.selectScatter.options.color=A,T[3]*=S,this.selectScatter.options.borderColor=T,k=t.marker.size,this.selectScatter.options.size=k,this.selectScatter.options.borderSize=t.marker.line.width,this.selectScatter.update()):(this.scatter.options.positions=c,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update())}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(f,k)},D.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=t.selection,l=this.pickXData=r.makeCalcdata(t,\"x\").slice(),h=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=l.slice(),this.yData=h.slice();var f,d,p,m,g,v,y,b=_.calcFromTrace(t,e.fullLayout),x=l.length,w=new Array(x),k=new Float64Array(2*x),A=new Float64Array(4*x),S=new Float64Array(4*x),L=0,C=0,I=0,D=0,O=\"log\"===r.type?r.d2l:function(t){return t},F=\"log\"===n.type?n.d2l:function(t){return t};for(f=0;f<x;++f)this.xData[f]=d=O(l[f]),this.yData[f]=p=F(h[f]),isNaN(d)||isNaN(p)||(w[L++]=f,k[C++]=d,k[C++]=p,m=A[I++]=d-b[f].xs||0,g=A[I++]=b[f].xh-d||0,A[I++]=0,A[I++]=0,S[D++]=0,S[D++]=0,v=S[D++]=p-b[f].ys||0,y=S[D++]=b[f].yh-p||0,a[0]=Math.min(a[0],d-m),a[1]=Math.min(a[1],p-v),a[2]=Math.max(a[2],d+g),a[3]=Math.max(a[3],p+y));k=M(k,C),this.idToIndex=w,this.updateLines(t,k),this.updateError(\"X\",t,k,A),this.updateError(\"Y\",t,k,S);var j,N;if(o&&o.length)for(N={},f=0;f<o.length;f++)N[o[f].pointNumber]=!0;if(this.hasMarkers){this.scatter.options.positions=k,this.scatter.options.sizes=new Array(L),this.scatter.options.glyphs=new Array(L),this.scatter.options.borderWidths=new Array(L),this.scatter.options.colors=new Array(4*L),this.scatter.options.borderColors=new Array(4*L);var B,U,V,H,q,G,Y,W,X,Z,J=T(t),K=t.marker,Q=K.opacity,$=t.opacity,tt=R(K.symbol,x),et=s(K,Q,$,x),rt=P(K.line.width,x),nt=s(K.line,Q,$,x);for(j=i(J,K.size,x),f=0;f<L;++f)B=w[f],V=tt[B],H=E[V],q=u(V),G=N&&!N[B],Y=H.noBorder&&!q?nt:et,W=q?et:nt,U=j[B],X=rt[B],Z=H.noBorder||H.noFill?.1*U:0,this.scatter.options.sizes[f]=4*U,this.scatter.options.glyphs[f]=H.unicode,this.scatter.options.borderWidths[f]=.5*(X>Z?X-Z:0),!q||H.noBorder||H.noFill?c(this.scatter.options.colors,Y,f,B,G):c(this.scatter.options.colors,z,f,0),c(this.scatter.options.borderColors,W,f,B,G);N?(this.scatter.options.positions=null,this.fancyScatter.update(),this.scatter.options.positions=k):this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(l,h,j)},D.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(L[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=w(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},D.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},D.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[I[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},D.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};b.expand(n.xaxis,t,i),b.expand(n.yaxis,e,i)},D.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=f},{\"../../components/errorbars\":634,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../constants/interactions\":706,\"../../lib\":728,\"../../lib/gl_format_color\":724,\"../../lib/str2rgbarray\":749,\"../../lib/typed_array_truncate\":754,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/axis_autotype\":773,\"../scatter/get_trace_color\":1040,\"../scatter/make_bubble_size_func\":1047,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131,\"gl-error2d\":159,\"gl-line2d\":170,\"gl-scatter2d\":248,\"gl-scatter2d-sdf\":243}],1080:[function(t,e,r){\"use 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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go \n",
    "import cufflinks as cf\n",
    "\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
    "\n",
    "init_notebook_mode(connected=True)\n",
    "cf.go_offline()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Number of Bands</th>\n",
       "      <th>Country</th>\n",
       "      <th>Code</th>\n",
       "      <th>Flavor Text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>8055</td>\n",
       "      <td>United States</td>\n",
       "      <td>USA</td>\n",
       "      <td>United States&lt;br&gt;8055 Bands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>3415</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany&lt;br&gt;3415 Bands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>1685</td>\n",
       "      <td>Italy</td>\n",
       "      <td>ITA</td>\n",
       "      <td>Italy&lt;br&gt;1685 Bands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>1644</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>SWE</td>\n",
       "      <td>Sweden&lt;br&gt;1644 Bands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1622</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BRA</td>\n",
       "      <td>Brazil&lt;br&gt;1622 Bands</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Number of Bands        Country Code                  Flavor Text\n",
       "128             8055  United States  USA  United States<br>8055 Bands\n",
       "42              3415        Germany  DEU        Germany<br>3415 Bands\n",
       "60              1685          Italy  ITA          Italy<br>1685 Bands\n",
       "115             1644         Sweden  SWE         Sweden<br>1644 Bands\n",
       "19              1622         Brazil  BRA         Brazil<br>1622 Bands"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_codes = pd.read_html(\"http://www.nationsonline.org/oneworld/country_code_list.htm\")[2]\n",
    "country_codes = country_codes.drop([0,1]).drop([0,2,4],axis=1)\n",
    "country_codes.columns=['Country','Code']\n",
    "\n",
    "bands_by_country = bands[['Country', 'Band ID']].groupby('Country').count()\n",
    "bands_by_country.columns = ['Number of Bands']\n",
    "bands_by_country['Country'] = bands_by_country.index\n",
    "\n",
    "bands_by_country = pd.merge(bands_by_country, country_codes, how='left', on='Country')\n",
    "bands_by_country.sort_values('Number of Bands', ascending=False, inplace=True)\n",
    "\n",
    "missing = bands_by_country[bands_by_country.isnull().any(axis=1)].copy()\n",
    "missing['Code'] = ['USA', 'RUS', 'NaN','VEN', 'KOR', 'MKD', 'TWN', 'IRN', 'BRN', 'VNM', 'NaN','SYR', 'REU', 'LAO', 'ALA', 'NaN']\n",
    "bands_by_country.update(missing, join='left')\n",
    "bands_by_country['Number of Bands'] = bands_by_country['Number of Bands'].astype(int)\n",
    "bands_by_country['Country'] = bands_by_country['Country'].astype(str)\n",
    "bands_by_country['Flavor Text'] = bands_by_country['Country'] + \"<br>\" + bands_by_country['Number of Bands'].map(str) + \" Bands\"\n",
    "bands_by_country.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "data = dict(type='choropleth',\n",
    "            locations = bands_by_country['Code'],\n",
    "            z = bands_by_country['Number of Bands'],\n",
    "            text = bands_by_country['Flavor Text'],\n",
    "            colorbar = {'title': 'Number of Metal Bands'},\n",
    "            colorscale= 'viridis',\n",
    "            hoverinfo = \"text\"          \n",
    ")\n",
    "\n",
    "layout = dict(\n",
    "    title = 'World Map of Number of Metal Bands',\n",
    "    autosize=False,\n",
    "    width=900,\n",
    "    height=800,\n",
    "    geo = dict(\n",
    "        showframe = False,\n",
    "        projection = {'type':'orthographic'},\n",
    "        showlakes = True,\n",
    "        lakecolor = 'rgb(255, 255, 255)',\n",
    "        showcountries=True,\n",
    "        countrycolor = \"grey\",\n",
    "        oceancolor = 'rgb(0,0,52)'\n",
    "    )\n",
    ")\n",
    "\n",
    "choromap = go.Figure(data = [data],layout = layout)\n",
    "#iplot(choromap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tSyAiIiKqFQyuGqZQKLB+/XooFAokJyfD1NQUc+fORfv27XH48GHEx8fD1NQUa9eurbZf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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932d5cf0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bands_by_country_df= bands_by_country.iloc[0:10].drop('Code', axis=1)\n",
    "plt.figure(figsize=(10,5))\n",
    "ax = sns.barplot(bands_by_country_df['Number of Bands'], bands_by_country_df['Country'], color=\"#00304e\")\n",
    "plt.xlabel('Total Number of Bands', axes=ax)\n",
    "ax.set_ylabel(\" \")\n",
    "ax.set_yticklabels(labels=list(bands_by_country_df['Country']),fontsize=13)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generally thought of as being popular in Scandinavian countries, we see very few bands coming out of that region relative to other countries. However, this may be an effect of the countries' population size.\n",
    "\n",
    "To account for this, we will calculate the number of bands per capita"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Number of Metal Bands Per Capita"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "colorbar": {
          "title": "Number of Metal Bands Per 100,000 People"
         },
         "colorscale": "viridis",
         "hoverinfo": "text",
         "locations": [
          "USA",
          "DEU",
          "ITA",
          "SWE",
          "BRA",
          "FRA",
          "GBR",
          "POL",
          "FIN",
          "CAN",
          "RUS",
          "MEX",
          "ESP",
          "AUS",
          "NLD",
          "IDN",
          "CHL",
          "GRC",
          "CZE",
          "COL",
          "AUT",
          "PRT",
          "ARG",
          "BEL",
          "JPN",
          "NOR",
          "UKR",
          "DNK",
          "CHE",
          "HUN",
          "MYS",
          "SVK",
          "TUR",
          "PER",
          "VEN",
          "NZL",
          "PHL",
          "BLR",
          "IRL",
          "SGP",
          "HRV",
          "ROU",
          "ECU",
          "BGR",
          "ISR",
          "SRB",
          "CHN",
          "CRI",
          "ZAF",
          "THA",
          "SVN",
          "IND",
          "BOL",
          "EST",
          "LTU",
          "URY",
          "PRI",
          "SLV",
          "LVA",
          "ISL",
          "BIH",
          "PAN",
          "PRY",
          "CUB",
          "TWN",
          "GTM",
          "LUX",
          "PAK",
          "IRN",
          "KAZ",
          "MLT",
          "BGD",
          "MDA",
          "NPL",
          "JOR",
          "CYP",
          "NIC",
          "HND",
          "BRN",
          "VNM",
          "EGY",
          "ARE",
          "SYR",
          "LBN",
          "DOM",
          "GEO",
          "MAR",
          "TUN",
          "SAU",
          "FRO",
          "DZA",
          "LKA",
          "ARM",
          "MCO",
          "MNE",
          "ALB",
          "KWT",
          "GUM",
          "MNG",
          "BLZ",
          "BWA",
          "BHR",
          "TTO",
          "KGZ",
          "SUR",
          "IRQ",
          "AND",
          "TKM",
          "GIB",
          "GRL",
          "TJK",
          "NCL",
          "MDV",
          "LBY",
          "SMR",
          "LIE",
          "ALA",
          "NaN",
          "MDG",
          "BRB",
          "KEN",
          "AZE",
          "ABW",
          "UZB",
          "AGO",
          "MOZ",
          "GUY"
         ],
         "text": [
          "United States<br>2.5 Bands Per 100,000 People",
          "Germany<br>4.2 Bands Per 100,000 People",
          "Italy<br>2.8 Bands Per 100,000 People",
          "Sweden<br>16.6 Bands Per 100,000 People",
          "Brazil<br>0.8 Bands Per 100,000 People",
          "France<br>2.4 Bands Per 100,000 People",
          "United Kingdom<br>2.1 Bands Per 100,000 People",
          "Poland<br>3.5 Bands Per 100,000 People",
          "Finland<br>23.7 Bands Per 100,000 People",
          "Canada<br>3.4 Bands Per 100,000 People",
          "Russia<br>0.8 Bands Per 100,000 People",
          "Mexico<br>0.7 Bands Per 100,000 People",
          "Spain<br>2.0 Bands Per 100,000 People",
          "Australia<br>3.7 Bands Per 100,000 People",
          "Netherlands<br>4.7 Bands Per 100,000 People",
          "Indonesia<br>0.3 Bands Per 100,000 People",
          "Chile<br>3.9 Bands Per 100,000 People",
          "Greece<br>4.9 Bands Per 100,000 People",
          "Czech Republic<br>4.5 Bands Per 100,000 People",
          "Colombia<br>1.0 Bands Per 100,000 People",
          "Austria<br>4.9 Bands Per 100,000 People",
          "Portugal<br>4.1 Bands Per 100,000 People",
          "Argentina<br>0.9 Bands Per 100,000 People",
          "Belgium<br>3.5 Bands Per 100,000 People",
          "Japan<br>0.3 Bands Per 100,000 People",
          "Norway<br>6.8 Bands Per 100,000 People",
          "Ukraine<br>0.7 Bands Per 100,000 People",
          "Denmark<br>5.6 Bands Per 100,000 People",
          "Switzerland<br>3.8 Bands Per 100,000 People",
          "Hungary<br>3.1 Bands Per 100,000 People",
          "Malaysia<br>0.9 Bands Per 100,000 People",
          "Slovakia<br>4.0 Bands Per 100,000 People",
          "Turkey<br>0.2 Bands Per 100,000 People",
          "Peru<br>0.5 Bands Per 100,000 People",
          "Venezuela<br>0.5 Bands Per 100,000 People",
          "New Zealand<br>3.2 Bands Per 100,000 People",
          "Philippines<br>0.1 Bands Per 100,000 People",
          "Belarus<br>1.5 Bands Per 100,000 People",
          "Ireland<br>2.8 Bands Per 100,000 People",
          "Singapore<br>2.3 Bands Per 100,000 People",
          "Croatia<br>2.9 Bands Per 100,000 People",
          "Romania<br>0.6 Bands Per 100,000 People",
          "Ecuador<br>0.7 Bands Per 100,000 People",
          "Bulgaria<br>1.6 Bands Per 100,000 People",
          "Israel<br>1.3 Bands Per 100,000 People",
          "Serbia<br>1.2 Bands Per 100,000 People",
          "China<br>0.0 Bands Per 100,000 People",
          "Costa Rica<br>1.9 Bands Per 100,000 People",
          "South Africa<br>0.2 Bands Per 100,000 People",
          "Thailand<br>0.1 Bands Per 100,000 People",
          "Slovenia<br>4.0 Bands Per 100,000 People",
          "India<br>0.0 Bands Per 100,000 People",
          "Bolivia<br>0.7 Bands Per 100,000 People",
          "Estonia<br>5.1 Bands Per 100,000 People",
          "Lithuania<br>2.0 Bands Per 100,000 People",
          "Uruguay<br>1.7 Bands Per 100,000 People",
          "Puerto Rico<br>1.5 Bands Per 100,000 People",
          "El Salvador<br>0.7 Bands Per 100,000 People",
          "Latvia<br>2.1 Bands Per 100,000 People",
          "Iceland<br>11.9 Bands Per 100,000 People",
          "Bosnia and Herzegovina<br>1.1 Bands Per 100,000 People",
          "Panama<br>0.9 Bands Per 100,000 People",
          "Paraguay<br>0.5 Bands Per 100,000 People",
          "Cuba<br>0.3 Bands Per 100,000 People",
          "Taiwan<br>0.1 Bands Per 100,000 People",
          "Guatemala<br>0.2 Bands Per 100,000 People",
          "Luxembourg<br>4.8 Bands Per 100,000 People",
          "Pakistan<br>0.0 Bands Per 100,000 People",
          "Iran<br>0.0 Bands Per 100,000 People",
          "Kazakhstan<br>0.1 Bands Per 100,000 People",
          "Malta<br>5.1 Bands Per 100,000 People",
          "Bangladesh<br>0.0 Bands Per 100,000 People",
          "Moldova<br>0.4 Bands Per 100,000 People",
          "Nepal<br>0.1 Bands Per 100,000 People",
          "Jordan<br>0.2 Bands Per 100,000 People",
          "Cyprus<br>1.3 Bands Per 100,000 People",
          "Nicaragua<br>0.2 Bands Per 100,000 People",
          "Honduras<br>0.2 Bands Per 100,000 People",
          "Brunei<br>3.3 Bands Per 100,000 People",
          "Vietnam<br>0.0 Bands Per 100,000 People",
          "Egypt<br>0.0 Bands Per 100,000 People",
          "United Arab Emirates<br>0.1 Bands Per 100,000 People",
          "Syria<br>0.1 Bands Per 100,000 People",
          "Lebanon<br>0.2 Bands Per 100,000 People",
          "Dominican Republic<br>0.1 Bands Per 100,000 People",
          "Georgia<br>0.2 Bands Per 100,000 People",
          "Morocco<br>0.0 Bands Per 100,000 People",
          "Tunisia<br>0.1 Bands Per 100,000 People",
          "Saudi Arabia<br>0.0 Bands Per 100,000 People",
          "Faroe Islands<br>14.2 Bands Per 100,000 People",
          "Algeria<br>0.0 Bands Per 100,000 People",
          "Sri Lanka<br>0.0 Bands Per 100,000 People",
          "Armenia<br>0.2 Bands Per 100,000 People",
          "Monaco<br>15.5 Bands Per 100,000 People",
          "Montenegro<br>0.8 Bands Per 100,000 People",
          "Albania<br>0.2 Bands Per 100,000 People",
          "Kuwait<br>0.1 Bands Per 100,000 People",
          "Guam<br>2.4 Bands Per 100,000 People",
          "Mongolia<br>0.1 Bands Per 100,000 People",
          "Belize<br>1.1 Bands Per 100,000 People",
          "Botswana<br>0.2 Bands Per 100,000 People",
          "Bahrain<br>0.2 Bands Per 100,000 People",
          "Trinidad and Tobago<br>0.2 Bands Per 100,000 People",
          "Kyrgyzstan<br>0.0 Bands Per 100,000 People",
          "Suriname<br>0.5 Bands Per 100,000 People",
          "Iraq<br>0.0 Bands Per 100,000 People",
          "Andorra<br>2.6 Bands Per 100,000 People",
          "Turkmenistan<br>0.0 Bands Per 100,000 People",
          "Gibraltar<br>5.8 Bands Per 100,000 People",
          "Greenland<br>3.5 Bands Per 100,000 People",
          "Tajikistan<br>0.0 Bands Per 100,000 People",
          "New Caledonia<br>0.7 Bands Per 100,000 People",
          "Maldives<br>0.5 Bands Per 100,000 People",
          "Libya<br>0.0 Bands Per 100,000 People",
          "San Marino<br>6.0 Bands Per 100,000 People",
          "Liechtenstein<br>5.3 Bands Per 100,000 People",
          "Laos<br>0.0 Bands Per 100,000 People",
          "Curaçao<br>0.6 Bands Per 100,000 People",
          "Madagascar<br>0.0 Bands Per 100,000 People",
          "Barbados<br>0.3 Bands Per 100,000 People",
          "Kenya<br>0.0 Bands Per 100,000 People",
          "Azerbaijan<br>0.0 Bands Per 100,000 People",
          "Aruba<br>0.9 Bands Per 100,000 People",
          "Uzbekistan<br>0.0 Bands Per 100,000 People",
          "Angola<br>0.0 Bands Per 100,000 People",
          "Mozambique<br>0.0 Bands Per 100,000 People",
          "Guyana<br>0.1 Bands Per 100,000 People"
         ],
         "type": "choropleth",
         "z": [
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          4.2,
          2.8,
          16.6,
          0.8,
          2.4,
          2.1,
          3.5,
          23.7,
          3.4,
          0.8,
          0.7,
          2,
          3.7,
          4.7,
          0.3,
          3.9,
          4.9,
          4.5,
          1,
          4.9,
          4.1,
          0.9,
          3.5,
          0.3,
          6.8,
          0.7,
          5.6,
          3.8,
          3.1,
          0.9,
          4,
          0.2,
          0.5,
          0.5,
          3.2,
          0.1,
          1.5,
          2.8,
          2.3,
          2.9,
          0.6,
          0.7,
          1.6,
          1.3,
          1.2,
          0,
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          0.2,
          0.1,
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          0,
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          0.2,
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          0,
          0.1,
          0.1,
          0.2,
          0.1,
          0.2,
          0,
          0.1,
          0,
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          0,
          0,
          0.2,
          15.5,
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          0.2,
          0.1,
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          0,
          0.3,
          0,
          0,
          0.9,
          0,
          0,
          0,
          0.1
         ]
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        "height": 800,
        "title": "World Map of Number of Metal Bands Per 100,000 People",
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Per 100,000 People\", \"Czech Republic<br>4.5 Bands Per 100,000 People\", \"Colombia<br>1.0 Bands Per 100,000 People\", \"Austria<br>4.9 Bands Per 100,000 People\", \"Portugal<br>4.1 Bands Per 100,000 People\", \"Argentina<br>0.9 Bands Per 100,000 People\", \"Belgium<br>3.5 Bands Per 100,000 People\", \"Japan<br>0.3 Bands Per 100,000 People\", \"Norway<br>6.8 Bands Per 100,000 People\", \"Ukraine<br>0.7 Bands Per 100,000 People\", \"Denmark<br>5.6 Bands Per 100,000 People\", \"Switzerland<br>3.8 Bands Per 100,000 People\", \"Hungary<br>3.1 Bands Per 100,000 People\", \"Malaysia<br>0.9 Bands Per 100,000 People\", \"Slovakia<br>4.0 Bands Per 100,000 People\", \"Turkey<br>0.2 Bands Per 100,000 People\", \"Peru<br>0.5 Bands Per 100,000 People\", \"Venezuela<br>0.5 Bands Per 100,000 People\", \"New Zealand<br>3.2 Bands Per 100,000 People\", \"Philippines<br>0.1 Bands Per 100,000 People\", \"Belarus<br>1.5 Bands Per 100,000 People\", \"Ireland<br>2.8 Bands Per 100,000 People\", \"Singapore<br>2.3 Bands Per 100,000 People\", \"Croatia<br>2.9 Bands Per 100,000 People\", \"Romania<br>0.6 Bands Per 100,000 People\", \"Ecuador<br>0.7 Bands Per 100,000 People\", \"Bulgaria<br>1.6 Bands Per 100,000 People\", \"Israel<br>1.3 Bands Per 100,000 People\", \"Serbia<br>1.2 Bands Per 100,000 People\", \"China<br>0.0 Bands Per 100,000 People\", \"Costa Rica<br>1.9 Bands Per 100,000 People\", \"South Africa<br>0.2 Bands Per 100,000 People\", \"Thailand<br>0.1 Bands Per 100,000 People\", \"Slovenia<br>4.0 Bands Per 100,000 People\", \"India<br>0.0 Bands Per 100,000 People\", \"Bolivia<br>0.7 Bands Per 100,000 People\", \"Estonia<br>5.1 Bands Per 100,000 People\", \"Lithuania<br>2.0 Bands Per 100,000 People\", \"Uruguay<br>1.7 Bands Per 100,000 People\", \"Puerto Rico<br>1.5 Bands Per 100,000 People\", \"El Salvador<br>0.7 Bands Per 100,000 People\", \"Latvia<br>2.1 Bands Per 100,000 People\", \"Iceland<br>11.9 Bands Per 100,000 People\", \"Bosnia and Herzegovina<br>1.1 Bands Per 100,000 People\", \"Panama<br>0.9 Bands Per 100,000 People\", \"Paraguay<br>0.5 Bands Per 100,000 People\", \"Cuba<br>0.3 Bands Per 100,000 People\", \"Taiwan<br>0.1 Bands Per 100,000 People\", \"Guatemala<br>0.2 Bands Per 100,000 People\", \"Luxembourg<br>4.8 Bands Per 100,000 People\", \"Pakistan<br>0.0 Bands Per 100,000 People\", \"Iran<br>0.0 Bands Per 100,000 People\", \"Kazakhstan<br>0.1 Bands Per 100,000 People\", \"Malta<br>5.1 Bands Per 100,000 People\", \"Bangladesh<br>0.0 Bands Per 100,000 People\", \"Moldova<br>0.4 Bands Per 100,000 People\", \"Nepal<br>0.1 Bands Per 100,000 People\", \"Jordan<br>0.2 Bands Per 100,000 People\", \"Cyprus<br>1.3 Bands Per 100,000 People\", \"Nicaragua<br>0.2 Bands Per 100,000 People\", \"Honduras<br>0.2 Bands Per 100,000 People\", \"Brunei<br>3.3 Bands Per 100,000 People\", \"Vietnam<br>0.0 Bands Per 100,000 People\", \"Egypt<br>0.0 Bands Per 100,000 People\", \"United Arab Emirates<br>0.1 Bands Per 100,000 People\", \"Syria<br>0.1 Bands Per 100,000 People\", \"Lebanon<br>0.2 Bands Per 100,000 People\", \"Dominican Republic<br>0.1 Bands Per 100,000 People\", \"Georgia<br>0.2 Bands Per 100,000 People\", \"Morocco<br>0.0 Bands Per 100,000 People\", \"Tunisia<br>0.1 Bands Per 100,000 People\", \"Saudi Arabia<br>0.0 Bands Per 100,000 People\", \"Faroe Islands<br>14.2 Bands Per 100,000 People\", \"Algeria<br>0.0 Bands Per 100,000 People\", \"Sri Lanka<br>0.0 Bands Per 100,000 People\", \"Armenia<br>0.2 Bands Per 100,000 People\", \"Monaco<br>15.5 Bands Per 100,000 People\", \"Montenegro<br>0.8 Bands Per 100,000 People\", \"Albania<br>0.2 Bands Per 100,000 People\", \"Kuwait<br>0.1 Bands Per 100,000 People\", \"Guam<br>2.4 Bands Per 100,000 People\", \"Mongolia<br>0.1 Bands Per 100,000 People\", \"Belize<br>1.1 Bands Per 100,000 People\", \"Botswana<br>0.2 Bands Per 100,000 People\", \"Bahrain<br>0.2 Bands Per 100,000 People\", \"Trinidad and Tobago<br>0.2 Bands Per 100,000 People\", \"Kyrgyzstan<br>0.0 Bands Per 100,000 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       "<div id=\"03a1f389-3fe6-4dc3-b683-576b2fc3265c\" style=\"height: 800px; width: 900px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"03a1f389-3fe6-4dc3-b683-576b2fc3265c\", [{\"type\": \"choropleth\", \"locations\": [\"USA\", \"DEU\", \"ITA\", \"SWE\", \"BRA\", \"FRA\", \"GBR\", \"POL\", \"FIN\", \"CAN\", \"RUS\", \"MEX\", \"ESP\", \"AUS\", \"NLD\", \"IDN\", \"CHL\", \"GRC\", \"CZE\", \"COL\", \"AUT\", \"PRT\", \"ARG\", \"BEL\", \"JPN\", \"NOR\", \"UKR\", \"DNK\", \"CHE\", \"HUN\", \"MYS\", \"SVK\", \"TUR\", \"PER\", \"VEN\", \"NZL\", \"PHL\", \"BLR\", \"IRL\", \"SGP\", \"HRV\", \"ROU\", \"ECU\", \"BGR\", \"ISR\", \"SRB\", \"CHN\", \"CRI\", \"ZAF\", \"THA\", \"SVN\", \"IND\", \"BOL\", \"EST\", \"LTU\", \"URY\", \"PRI\", \"SLV\", \"LVA\", \"ISL\", \"BIH\", \"PAN\", \"PRY\", \"CUB\", \"TWN\", \"GTM\", \"LUX\", \"PAK\", \"IRN\", \"KAZ\", \"MLT\", \"BGD\", \"MDA\", \"NPL\", \"JOR\", \"CYP\", \"NIC\", \"HND\", \"BRN\", \"VNM\", \"EGY\", \"ARE\", \"SYR\", \"LBN\", \"DOM\", \"GEO\", \"MAR\", \"TUN\", \"SAU\", \"FRO\", \"DZA\", \"LKA\", \"ARM\", \"MCO\", \"MNE\", \"ALB\", \"KWT\", \"GUM\", \"MNG\", \"BLZ\", \"BWA\", \"BHR\", \"TTO\", \"KGZ\", \"SUR\", \"IRQ\", \"AND\", \"TKM\", \"GIB\", \"GRL\", \"TJK\", \"NCL\", \"MDV\", \"LBY\", \"SMR\", \"LIE\", \"ALA\", \"NaN\", \"MDG\", \"BRB\", \"KEN\", \"AZE\", \"ABW\", \"UZB\", \"AGO\", \"MOZ\", \"GUY\"], \"z\": [2.5, 4.2, 2.8, 16.6, 0.8, 2.4, 2.1, 3.5, 23.7, 3.4, 0.8, 0.7, 2.0, 3.7, 4.7, 0.3, 3.9, 4.9, 4.5, 1.0, 4.9, 4.1, 0.9, 3.5, 0.3, 6.8, 0.7, 5.6, 3.8, 3.1, 0.9, 4.0, 0.2, 0.5, 0.5, 3.2, 0.1, 1.5, 2.8, 2.3, 2.9, 0.6, 0.7, 1.6, 1.3, 1.2, 0.0, 1.9, 0.2, 0.1, 4.0, 0.0, 0.7, 5.1, 2.0, 1.7, 1.5, 0.7, 2.1, 11.9, 1.1, 0.9, 0.5, 0.3, 0.1, 0.2, 4.8, 0.0, 0.0, 0.1, 5.1, 0.0, 0.4, 0.1, 0.2, 1.3, 0.2, 0.2, 3.3, 0.0, 0.0, 0.1, 0.1, 0.2, 0.1, 0.2, 0.0, 0.1, 0.0, 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Per 100,000 People\", \"Czech Republic<br>4.5 Bands Per 100,000 People\", \"Colombia<br>1.0 Bands Per 100,000 People\", \"Austria<br>4.9 Bands Per 100,000 People\", \"Portugal<br>4.1 Bands Per 100,000 People\", \"Argentina<br>0.9 Bands Per 100,000 People\", \"Belgium<br>3.5 Bands Per 100,000 People\", \"Japan<br>0.3 Bands Per 100,000 People\", \"Norway<br>6.8 Bands Per 100,000 People\", \"Ukraine<br>0.7 Bands Per 100,000 People\", \"Denmark<br>5.6 Bands Per 100,000 People\", \"Switzerland<br>3.8 Bands Per 100,000 People\", \"Hungary<br>3.1 Bands Per 100,000 People\", \"Malaysia<br>0.9 Bands Per 100,000 People\", \"Slovakia<br>4.0 Bands Per 100,000 People\", \"Turkey<br>0.2 Bands Per 100,000 People\", \"Peru<br>0.5 Bands Per 100,000 People\", \"Venezuela<br>0.5 Bands Per 100,000 People\", \"New Zealand<br>3.2 Bands Per 100,000 People\", \"Philippines<br>0.1 Bands Per 100,000 People\", \"Belarus<br>1.5 Bands Per 100,000 People\", \"Ireland<br>2.8 Bands Per 100,000 People\", \"Singapore<br>2.3 Bands Per 100,000 People\", \"Croatia<br>2.9 Bands Per 100,000 People\", \"Romania<br>0.6 Bands Per 100,000 People\", \"Ecuador<br>0.7 Bands Per 100,000 People\", \"Bulgaria<br>1.6 Bands Per 100,000 People\", \"Israel<br>1.3 Bands Per 100,000 People\", \"Serbia<br>1.2 Bands Per 100,000 People\", \"China<br>0.0 Bands Per 100,000 People\", \"Costa Rica<br>1.9 Bands Per 100,000 People\", \"South Africa<br>0.2 Bands Per 100,000 People\", \"Thailand<br>0.1 Bands Per 100,000 People\", \"Slovenia<br>4.0 Bands Per 100,000 People\", \"India<br>0.0 Bands Per 100,000 People\", \"Bolivia<br>0.7 Bands Per 100,000 People\", \"Estonia<br>5.1 Bands Per 100,000 People\", \"Lithuania<br>2.0 Bands Per 100,000 People\", \"Uruguay<br>1.7 Bands Per 100,000 People\", \"Puerto Rico<br>1.5 Bands Per 100,000 People\", \"El Salvador<br>0.7 Bands Per 100,000 People\", \"Latvia<br>2.1 Bands Per 100,000 People\", \"Iceland<br>11.9 Bands Per 100,000 People\", \"Bosnia and Herzegovina<br>1.1 Bands Per 100,000 People\", \"Panama<br>0.9 Bands Per 100,000 People\", \"Paraguay<br>0.5 Bands Per 100,000 People\", \"Cuba<br>0.3 Bands Per 100,000 People\", \"Taiwan<br>0.1 Bands Per 100,000 People\", \"Guatemala<br>0.2 Bands Per 100,000 People\", \"Luxembourg<br>4.8 Bands Per 100,000 People\", \"Pakistan<br>0.0 Bands Per 100,000 People\", \"Iran<br>0.0 Bands Per 100,000 People\", \"Kazakhstan<br>0.1 Bands Per 100,000 People\", \"Malta<br>5.1 Bands Per 100,000 People\", \"Bangladesh<br>0.0 Bands Per 100,000 People\", \"Moldova<br>0.4 Bands Per 100,000 People\", \"Nepal<br>0.1 Bands Per 100,000 People\", \"Jordan<br>0.2 Bands Per 100,000 People\", \"Cyprus<br>1.3 Bands Per 100,000 People\", \"Nicaragua<br>0.2 Bands Per 100,000 People\", \"Honduras<br>0.2 Bands Per 100,000 People\", \"Brunei<br>3.3 Bands Per 100,000 People\", \"Vietnam<br>0.0 Bands Per 100,000 People\", \"Egypt<br>0.0 Bands Per 100,000 People\", \"United Arab Emirates<br>0.1 Bands Per 100,000 People\", \"Syria<br>0.1 Bands Per 100,000 People\", \"Lebanon<br>0.2 Bands Per 100,000 People\", \"Dominican Republic<br>0.1 Bands Per 100,000 People\", \"Georgia<br>0.2 Bands Per 100,000 People\", \"Morocco<br>0.0 Bands Per 100,000 People\", \"Tunisia<br>0.1 Bands Per 100,000 People\", \"Saudi Arabia<br>0.0 Bands Per 100,000 People\", \"Faroe Islands<br>14.2 Bands Per 100,000 People\", \"Algeria<br>0.0 Bands Per 100,000 People\", \"Sri Lanka<br>0.0 Bands Per 100,000 People\", \"Armenia<br>0.2 Bands Per 100,000 People\", \"Monaco<br>15.5 Bands Per 100,000 People\", \"Montenegro<br>0.8 Bands Per 100,000 People\", \"Albania<br>0.2 Bands Per 100,000 People\", \"Kuwait<br>0.1 Bands Per 100,000 People\", \"Guam<br>2.4 Bands Per 100,000 People\", \"Mongolia<br>0.1 Bands Per 100,000 People\", \"Belize<br>1.1 Bands Per 100,000 People\", \"Botswana<br>0.2 Bands Per 100,000 People\", \"Bahrain<br>0.2 Bands Per 100,000 People\", \"Trinidad and Tobago<br>0.2 Bands Per 100,000 People\", \"Kyrgyzstan<br>0.0 Bands Per 100,000 People\", \"Suriname<br>0.5 Bands Per 100,000 People\", \"Iraq<br>0.0 Bands Per 100,000 People\", \"Andorra<br>2.6 Bands Per 100,000 People\", \"Turkmenistan<br>0.0 Bands Per 100,000 People\", \"Gibraltar<br>5.8 Bands Per 100,000 People\", \"Greenland<br>3.5 Bands Per 100,000 People\", \"Tajikistan<br>0.0 Bands Per 100,000 People\", \"New Caledonia<br>0.7 Bands Per 100,000 People\", \"Maldives<br>0.5 Bands Per 100,000 People\", \"Libya<br>0.0 Bands Per 100,000 People\", \"San Marino<br>6.0 Bands Per 100,000 People\", \"Liechtenstein<br>5.3 Bands Per 100,000 People\", \"Laos<br>0.0 Bands Per 100,000 People\", \"Cura\\u00e7ao<br>0.6 Bands Per 100,000 People\", \"Madagascar<br>0.0 Bands Per 100,000 People\", \"Barbados<br>0.3 Bands Per 100,000 People\", \"Kenya<br>0.0 Bands Per 100,000 People\", \"Azerbaijan<br>0.0 Bands Per 100,000 People\", \"Aruba<br>0.9 Bands Per 100,000 People\", \"Uzbekistan<br>0.0 Bands Per 100,000 People\", \"Angola<br>0.0 Bands Per 100,000 People\", \"Mozambique<br>0.0 Bands Per 100,000 People\", \"Guyana<br>0.1 Bands Per 100,000 People\"], \"colorbar\": {\"title\": \"Number of Metal Bands Per 100,000 People\"}, \"colorscale\": \"viridis\", \"hoverinfo\": \"text\"}], {\"title\": \"World Map of Number of Metal Bands Per 100,000 People\", \"autosize\": false, \"width\": 900, \"height\": 800, \"geo\": {\"showframe\": false, \"projection\": {\"type\": \"orthographic\"}, \"showlakes\": true, \"lakecolor\": \"rgb(255, 255, 255)\", \"showcountries\": true, \"countrycolor\": \"grey\", \"oceancolor\": \"rgb(0,0,52)\"}}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def remove_whitespaces(strings):\n",
    "    x = \" \".join(strings.split())\n",
    "    return x\n",
    "\n",
    "country_population = pd.read_csv('Data/Country Populations.csv', encoding = \"ISO-8859-1\", header=-1)\n",
    "country_population.columns = ['Rank', 'Country', 'Continent', 'Region', 'Population_2016', 'Population_2017', 'Percent Change']\n",
    "country_population['Country'].map(lambda line: str(line.lstrip()))\n",
    "\n",
    "country_population['Country'] = country_population['Country'].apply(remove_whitespaces)\n",
    "\n",
    "bands_per_capita = pd.merge(bands_by_country, country_population, how='outer', on='Country')\n",
    "bands_per_capita = bands_per_capita[-bands_per_capita.isnull().any(axis=1)]\n",
    "bands_per_capita['Population_2017'] = bands_per_capita['Population_2017'].str.replace(\",\",\"\").map(int)\n",
    "bands_per_capita['Bands Per Capita'] = ((bands_per_capita['Number of Bands'].map(int))/(bands_per_capita['Population_2017'].map(int)))*100000\n",
    "bands_per_capita['Bands Per Capita'] = round(bands_per_capita['Bands Per Capita'],1)\n",
    "bands_per_capita['Flavor Text'] = bands_per_capita['Country'] + \"<br>\" + bands_per_capita['Bands Per Capita'].map(str) + \" Bands Per 100,000 People\"\n",
    "\n",
    "data = dict(type='choropleth',\n",
    "            locations = bands_per_capita['Code'],\n",
    "            z = bands_per_capita['Bands Per Capita'],\n",
    "            text = bands_per_capita['Flavor Text'],\n",
    "            colorbar = {'title': 'Number of Metal Bands Per 100,000 People'},\n",
    "            colorscale = 'viridis',\n",
    "            hoverinfo = \"text\"\n",
    ")\n",
    "\n",
    "layout = dict(\n",
    "    title = 'World Map of Number of Metal Bands Per 100,000 People',\n",
    "    autosize=False,\n",
    "    width=900,\n",
    "    height=800,\n",
    "    geo = dict(\n",
    "        showframe = False,\n",
    "        projection = {'type':'orthographic'},\n",
    "        showlakes = True,\n",
    "        lakecolor = 'rgb(255, 255, 255)',\n",
    "        showcountries = True,\n",
    "        countrycolor = \"grey\",\n",
    "        oceancolor = 'rgb(0,0,52)'\n",
    "    )\n",
    ")\n",
    "\n",
    "choromap = go.Figure(data = [data],layout = layout)\n",
    "iplot(choromap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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D/iRdP+um62edPD1L37dN022FxLlz59ixYwf29vb3DaAiIiIiRYVCaCERFRXF\ngQMHmDlzpqVLEREREXnsFEILiVmzZlm6BBERERHD6MUkERERETGcQqiIiIiIGE63461Mxr71ejvQ\niuntThERkds0EyoiIiIihlMIFRERERHDKYSKiIiIiOEUQkVERETEcHoxycq4+Te3dAlSCOnnNkVE\nxNpoJlREREREDKcQKiIiIiKGUwgVEREREcMphIqIiIiI4RRCRURERMRwCqEiIiIiYrhCHUJPnz5N\nnz59CAgIwNfXlzZt2hATE/PIx0lMTMTb25s333zzrrZjx47h7e1NZGTkn+q7VatW7Nix46+WKCIi\nIlKkFNrvCc3Pz+ftt9+mQ4cOTJ8+HQcHB/bt20e/fv144oknaNas2SMdr2TJkhw7dozk5GQqVqxo\nXh8bG4uLi8uf7nft2rWPojwRERGRIqXQzoSmp6eTlJREmzZtcHJyokSJEgQGBjJ06FDy8vIAuHHj\nBmPHjqVp06b4+PgQFhbGpk2bgNuzm+Hh4UyaNInAwEAaNGjA3Llz7zueo6MjISEhrFu3zrwuPz+f\n9evX07hxY/O6B43ZokULIiIiCAwMJDExkdDQULZu3QqAt7c3CxYsoFGjRgQGBjJkyBByc3MBSEtL\nY/DgwQQFBRESEkJUVJS5TURERKSoKbQhtGzZsgQGBvLWW28RHR1NQkICWVlZdOzYkdatWwMwb948\nTp48yapVq9i/fz8dOnTgo48+Mvdx4sQJXF1d2b17N6NGjWLatGmkpKTcd8zw8PACM5cJCQlUq1YN\nDw8P87oHjXnq1CmaN2/O9u3b8fPzu2uM+Ph4YmNjWbZsGbt27WLjxo0A9OvXD4DNmzezfPly9uzZ\nQ3R09J88eyIiIiKFW6ENoQBffvklXbp0ISEhgbfffpvAwEAGDRpEeno6AJ07dyY6OhpnZ2cuXryI\ni4sLqamp5v1tbW2JiIjAzs6Opk2b4uzszPnz5+87XkhICElJSZw+fRq4fSu+bdu2BbZ50Jg2NjaE\nh4dTsmRJ7Ozuftqhe/fulCpViqeffhpfX1/OnDnDuXPnOHDgACNGjKBUqVJ4eXkxYMAAVq9e/ZfO\nn4iIiEhhVahDqKOjIz169GDJkiXs37+fOXPmcPr0aYYPHw7AtWvXGDp0KMHBwQwYMID9+/djMpnM\n+5cuXRp7e3vzsp2dHfn5+fcdz8HBgaZNm7J27VpycnLYtWsXTZo0KbDNg8Z0dXXFwcHhvmO4u7ub\n/7a3t8dkMnH58mWcnZ0LtFWsWJG0tDTzowciIiIiRUmhDaHr1q0jNDTUHPAcHR2pU6cOffr04ccf\nfwRgzJgxPP300+zevZuVK1fUGDNXAAAgAElEQVTSuXPnvzxueHg4cXFxbNmyheDgYJydnQu0P44x\nK1asSFZWFleuXDGvS0pKws3NrUCIFhERESkqCm0IDQ4OJisriwkTJnD58mVMJhNnz55l6dKlNGrU\nCIDMzEycnJywtbXl4sWLzJw5E+AvzR4GBQVx/fp1Zs2aRZs2be5qfxxjenl5ERwczIQJE7h+/Tqp\nqalER0cTHh7+p/sUERERKcwKbQgtU6YMS5Ys4ddff6V169b4+Pjw1ltv8dJLL5m/s3PYsGFs27aN\nWrVq0aVLF0JCQnB2dubkyZN/etwSJUrQqlUrrl69SnBw8F3tj2NMgKlTp5Kfn0/jxo1p27Ytfn5+\nDB069C/1KSIiIlJY2Zh+/0CjFHouNZtaugQphM5sWmXpEooFNzdnMjKyLF2G/Em6ftZN1886eXqW\nvm9boZ0JFREREZGiSyFURERERAynECoiIiIihlMIFRERERHDKYSKiIiIiOHu/l1JKdQy9q3X24FW\nTG93ioiI3KaZUBERERExnEKoiIiIiBhOIVREREREDKcQKiIiIiKG04tJVsbNv7mlS5BCQD/TKSIi\n1k4zoSIiIiJiOIVQERERETGcQqiIiIiIGE4hVEREREQMpxAqIiIiIoZTCBURERERwymEGiQ7O5u0\ntDRLlyEiIiJSKBSLEPrTTz8xcOBA6tWrx8svv0xISAijR48mPT0dgFatWrFjxw4AvL29OXHixF8e\nMykpCW9vb65fvw5A586dOXLkyF/uV0RERKQoKPIh9ODBg3Tq1Ilq1aqxYsUKDh48yKJFi8jKyqJX\nr16YTCbWrl1LgwYNHmsdGRkZj7V/EREREWtS5EPouHHj6NatG/369aN8+fKUKFGCypUrM378eIKD\ng/ntt98IDQ1l69at5n3i4uIIDQ2lQYMGREdHc+vWLQC6du1KZGQkderU4Z133iE/P58ZM2bQvHlz\nfH19CQkJYenSpXfV0LdvX5KTkxkwYAALFiz4w/2SkpLw8/MjMjISf39/vv32W2NOlIiIiIiBivTP\ndiYnJ3P8+HGio6PvanNycmLo0KH33O/AgQOsWrWKa9eu0aNHD8qXL89rr70GwLFjx9iwYQMA3333\nHRs3bmThwoV4eHgQGxvLyJEjCQ8PL9Df7NmzCQ0NZdSoUTRq1Ig1a9b84X6ZmZlUqlSJ3bt3mwOw\niIiISFFSpEPor7/+CoCXl5d53SeffMI333wDQF5eHuPGjbtrv0GDBuHm5oabmxtdu3Zl7dq15hAa\nGhpK6dKlAWjSpAl169bFw8OD1NRUHB0dycnJ4erVq39Y18PsFx4ejoODw187ASIiIiKFVJEOoWXL\nlgXg0qVLVKpUCYDBgwczePBgADp06EB+fv5d+1WsWNH8d/ny5bl06ZJ52cPDw/x3Xl4e48ePJz4+\nngoVKvD8888D3LPP33uY/X4/joiIiEhRU6RDaOXKlXn22WdZuXIl/fv3f+j90tLSzLOnycnJBUKp\njY2N+e9p06ZhMpnYuXMnjo6OJCcns3r16gf2/zD7/X4cERERkaKmyL+Y9NFHHzF//nxmzZpl/p7O\npKQkJk2axE8//WSeLf29mTNn8ttvv3Hq1CkWLFjAK6+8cs++MzMzcXBwwNbWlvT0dKZMmQLAzZs3\n79rW3t6ezMzM/3k/ERERkaKoyIdQHx8fVq5cyYULF+jQoQM+Pj506tSJtLQ0li5dSkhIyF371KhR\ng7CwMN566y26d+9OixYt7tl3//79OXfuHAEBAbRr146nnnqKKlWqcPLkybu2bd++PaNGjeL//J//\n8z/tJyIiIlIU2ZhMJpOli5CH51KzqaVLkELgzKZVli6hWHJzcyYjI8vSZcifpOtn3XT9rJOnZ+n7\nthX5mVARERERKXwUQkVERETEcAqhIiIiImI4hVARERERMVyR/p7Qoihj33o9mG3F9GC9iIjIbZoJ\nFRERERHDKYSKiIiIiOEUQkVERETEcAqhIiIiImI4hVARERERMZzejrcybv7NLV2CGEw/0SkiIkWR\nZkJFRERExHAKoSIiIiJiOIVQERERETGcQqiIiIiIGE4hVEREREQMpxAqIiIiIoYrcl/R5O3tjZOT\nEyVKlMBkMlGqVClCQ0MZPHgwrq6uli7vvrp27UqzZs3o0qWLpUsREREReeyK5ExoTEwMBw4c4ODB\ng8TExJCamso777xDfn6+pUsTEREREYpoCP29ChUqMG3aNH7++We2bdsGwI0bNxg/fjz169enXr16\nTJkyhdzcXAA+/fRThgwZwrvvvouvry8tW7Zk165dACQmJtK+fXuioqIICAigQYMGbNmyhQkTJuDv\n709oaCjx8fEA5OfnM2PGDJo3b46vry8hISEsXboUgKSkJPz8/IiMjMTf359vv/22QM3fffcdwcHB\n/PjjjwadJRERERFjFfkQCuDi4kKtWrXYv38/AFOmTOHUqVN89913fPfddxw9epTPP//cvP369evp\n0aMHiYmJhISE8NFHH5nbjh8/TtmyZc2BtF+/flSqVIn4+HhatWrF1KlTgdtBcuPGjSxcuJAffviB\nwYMHM3HiRK5fvw5AZmYmlSpVYvfu3YSFhZn7//7775k8eTJfffUVzz33nBGnR0RERMRwxSKEAri6\nunLt2jVMJhOrVq1iyJAhlClTBnd3d/7+97+zfPly87Y+Pj4EBwfj4OBAeHg4Z8+eNbfZ29vTvXt3\nSpQoQe3atSlRogTdunXD3t6eOnXqkJycDECTJk2YP38+Hh4epKam4ujoSE5ODlevXjX3FR4ejoOD\nAyVLlgQgPj6egQMH8sknn/D8888bdGZEREREjFfkXky6n4yMDKpXr86VK1e4ceMGXbt2xcbGBgCT\nyUReXh45OTkAuLu7m/ezs7PDZDKZl11cXLCzu33aSpQogYuLCyVKlDAv33nuNC8vj/HjxxMfH0+F\nChXMofL3z6V6eHgUqDExMZHnn3+e2NhYgoODH/UpEBERESk0ikUIzczM5IcffqBHjx64ublhb2/P\nmjVrqFy5MgBZWVmkpaXh6Oj4yMacNm0aJpOJnTt34ujoSHJyMqtXry6wzZ0QfEffvn1p0qQJrVu3\nJjw8XEFUREREiqwifzv+/PnzDB48mBo1alCvXj1sbW0JDw9n6tSp/Pbbb2RlZTF69GgiIyMf6biZ\nmZk4ODhga2tLeno6U6ZMAeDmzZv33cfe3p7KlSvTp08fRo0aRXZ29iOtSURERKSwKJIhtGPHjvj6\n+lKrVi26d+/O3/72N7744gvzzOOIESMoU6YMrVq1IiQkhMzMTKZPn/5Ia+jfvz/nzp0jICCAdu3a\n8dRTT1GlShVOnjz5wH179eqFo6MjM2fOfKQ1iYiIiBQWNqbfP/AohZ5LzaaWLkEMdmbTKkuXIP+P\nm5szGRlZli5D/iRdP+um62edPD1L37etSM6EioiIiEjhphAqIiIiIoZTCBURERERwymEioiIiIjh\nisX3hBYlGfvW68FsK6YH60VERG7TTKiIiIiIGE4hVEREREQMpxAqIiIiIoZTCBURERERwymEioiI\niIjh9Ha8lXHzb27pEuQx0c9ziohIcaKZUBERERExnEKoiIiIiBhOIVREREREDKcQKiIiIiKGUwgV\nEREREcMVqxB68+ZNUlJSHusYGRkZZGZmPtYxRERERKyd4SHU29ubEydO3LOtVatW7Nix40/3nZiY\nSFBQ0H3bBw0axKZNm/50/w+jWbNmJCcnP3C7ffv2ERoa+lhrERERESmsCtX3hK5du/ax9p+env5Y\n+4fbM6EPw9/fny1btjzmakREREQKp0J1Oz40NJStW7cCkJycTO/evQkKCiIsLIyVK1eat/vtt98Y\nOnQo/v7+BAcHExUVhclkAsBkMvHJJ59Qv359ateuzbx58wCYMGEC+/btY/LkyUyePBmAvXv38sor\nr+Dv70/Hjh05fPiweQxvb28WLFhAo0aNCAwMZMiQIeTm5gKwe/duwsPD8ff3Jzw8nG+//RaADh06\nANCxY0fzjOuSJUsICwsjKCiIvn37cunSJaDgrO2qVavo1asXQ4cOpVatWjRp0oQ1a9Y8npMsIiIi\nUggUqhB6x61bt+jduzfVq1dn586dREdHM336dBISEgAYM2YM165dY/PmzcTFxbF9+3aWL18OwNWr\nVylRogTbtm1jypQpREVFkZKSwogRI/D39ycyMpLIyEiSk5N599136dOnDwkJCfTs2ZOIiIgCM5nx\n8fHExsaybNkydu3axcaNGwEYNmwY/fr1Y9++fQwfPpyxY8eSmZnJqlW3f/EmJiaGJk2a8K9//Ys5\nc+Ywe/ZsduzYQeXKlRk4cOA9j3nXrl3UrVuXPXv20LVrVz766CNycnIe52kWERERsZhCGUKPHDnC\nxYsXGThwIA4ODjz33HN06tSJmJgYcnNz+f777/nHP/6Bq6srZcuW5bPPPiMkJAQAe3t7/v73v2Nr\na0tISAguLi4kJSXdNUZcXBxBQUE0adIEOzs7WrRowbPPPsuGDRvM23Tv3p1SpUrx9NNP4+vry5kz\nZwAoXbo0cXFxxMfH4+fnx/79+ylVqtRdY6xYsYIePXpQvXp1HB0dGTRoEIcOHeL06dN3bVuxYkXa\ntWuHnZ0d7dq1IzMzk8uXLz+iMyoiIiJSuBSqZ0LvSE5OJjMzk8DAQPO6W7du8eKLL3L16lXy8vLw\n8vIyt1WpUgWAs2fP4uLigp3d/z8se3t7bt26dc8xdu7cib+/v3ndzZs38fPzMy+7u7sX6OfOLf/P\nPvuMmTNnMmjQIG7cuMHrr7/O4MGDsbe3LzDGxYsXmTFjBrNmzTKvs7GxITk5uUCNAGXKlDH/fact\nPz//j06TiIiIiNUqlCG0XLlyeHl5sW3bNvO6tLQ0TCYT7u7u2Nvbk5qaag5uO3fuJCMjg3Llyj30\nGJ6enrRs2ZKoqCjzuvPnzxcIg/eSm5vLuXPnmDp1KiaTiYMHD9K3b19eeuklWrVqddcYPXv25NVX\nXzWvO3nyJJUrV+bAgQMPXauIiIhIUWOR2/GXL18mJSXF/O/KlSsF2mvWrImTkxNffvkleXl5pKSk\n8NZbb7F48WJsbW1p2bIl0dHRZGZmcunSJaKiorhx48YDx3VwcDB/h2erVq3YunUr8fHxmEwm9u/f\nT5s2bThy5MgD+xk0aBAxMTHA7cBsY2ODm5sbcHvG9M4Y7du35+uvv+bs2bPk5+ezcOFCXnvtNbKz\ns/+n8yUiIiJS1FhkJrRHjx4FlmvVqsU333xjXra3t2fOnDmMHz+euXPnmoNn3759ARg1ahQTJ04k\nLCwMGxsbXn/9dTp27EhiYuIfjtu6dWs+/PBDLly4wEcffcSMGTP4+OOPOXPmDO7u7gwbNozg4OA/\n7MPBwYHo6GgmT57MxIkTcXFxoWvXrtStWxe4/Yb8W2+9xdixY2nXrh0ZGRlERESQlpZG1apV+eKL\nL3B1df0TZ01ERESk6LAx3XnQUayCS82mli5BHpMzm1ZZugR5ADc3ZzIysixdhvxJun7WTdfPOnl6\nlr5vW6F8O15EREREijaFUBERERExnEKoiIiIiBhOIVREREREDKcQKiIiIiKGK5RfVi/3l7Fvvd4O\ntGJ6u1NEROQ2zYSKiIiIiOH0PaEiIiIiYjjNhIqIiIiI4RRCRURERMRwCqEiIiIiYjiFUBEREREx\nnEKolcjNzWXUqFEEBARQt25d5s6da+mS5H8QGxuLt7d3gX/vvfeepcuSB8jNzaV169bs3r3bvC4j\nI4P+/ftTq1YtQkNDWb16tQUrlD9yr+v3+eef3/VZnDBhggWrlP927tw5evfuTUBAAA0aNGDy5Mnk\n5OQAcOHCBXr27ImPjw8tWrRg+/btFq5W/gp9T6iViIqK4sCBA3z99dekpKTw/vvvU7FiRVq1amXp\n0uQh/PLLLzRt2pQxY8aY1zk6OlqwInmQnJwcBg8ezM8//1xgfWRkJFlZWXzzzTccOXKE0aNH89RT\nT1GrVi0LVSr3cr/r98svv9C1a1feffdd87qSJUsaXZ7cR25uLr179+aZZ55h6dKlXL58meHDhwPw\nwQcf8N5771GtWjVWrFjBli1b6N+/P3FxcVSuXNnClcufoRBqBbKysli+fDmff/45NWrUoEaNGrz9\n9tssWrRIIdRKnDx5Em9vbzw9PS1dijyEX375hcGDB/Pf32B37tw5tm7dysaNG3nqqafw9vbmwIED\nLFmyRCG0ELnf9YPbn8WuXbvqs1hIHT58mHPnzhETE4OLiwvVqlVjwIABTJ48mZCQEE6fPs3ixYsp\nVaoUzzzzDLt372bFihUMHDjQ0qXLn6Db8Vbgxx9/JDc3Fz8/P/M6Pz8/jhw5ws2bNy1YmTysX375\nhaefftrSZchD2rdvH3Xr1mXZsmUF1h86dAhPT0+eeuop8zo/Pz8OHjxodInyB+53/UwmE6dPn9Zn\nsRCrWrUqc+bMwcXFxbzOxsaG3NxcDh06xAsvvECpUqXMbfr8WTfNhFqBS5cu4erqWuD2rYeHB3l5\neVy5coVy5cpZsDp5kNzcXM6fP8/WrVuJjo4mPz+f5s2b079/fxwcHCxdntxDp06d7rn+0qVLd33e\nypYtS0pKihFlyUO63/VLSkoiOzub5cuXM2jQIJycnHjllVfo2bMnJUpoTqYwcHd3p06dOubl/Px8\nFi1ahJ+fnz5/RZBCqBXIzs6+K6zcWc7NzbVESfI/OHv2LDdv3sTZ2Zno6GjOnTvHhAkTuH79eoFn\nRKXwu99nMS8vD5PJhI2NjYUqk4dx8uRJALy8vPj88885fvy4+aWkt99+25KlyX1MmjSJ//znP6xY\nsYKvv/4ae3v7Au13Pn9inRRCrYCjo+NdYfPOsh6oL/yqV69OQkICZcqUAeC5557DZDIxePBgRowY\ngZ2dPobW4n6fRScnJwVQK9CwYcMCn0Vvb2/S09NZvHixQmghYzKZmDBhAt988w0zZ86kevXqODo6\nkpmZWWC7O58/sU66/2AFvLy8+O233wr8x+/SpUs4ODjg6upqwcrkYd35j94d1apVMz9OIdbDy8uL\ntLS0AuvS0tL0kosVuddn8ddff7VQNXIv+fn5DB8+nKVLlzJ9+nSaNGkC3P78Xbp0qcC2+vxZN4VQ\nK/D8889jb2/PgQMHzOv279/Piy++qFk0K7Bx40bq1KlT4P9EHD9+nCeeeEL/42llfHx8SE1NJSkp\nybxu//791KxZ04JVycOaP38+4eHhBdYdP35cLyoVMpMnTyY2NpZPP/2UsLAw8/qaNWvy448/kpWV\nZV63f/9+fHx8LFGmPAIKoVagZMmStGvXjnHjxnH48GE2b97MV199Rbdu3SxdmjyEgIAATCYTo0eP\n5vTp02zbto2oqCh69eqlW7hWpnLlytSrV48PPviAH3/8kZUrVxIbG0uXLl0sXZo8hPr163Pu3Dk+\n+eQTzp49S2xsLHPnziUiIsLSpcn/c/DgQebPn0///v2pUaMGly5dMv8LDAykYsWKREZG8vPPPzNn\nzhwOHTpEx44dLV22/Ek2pnt9kZoUOtnZ2YwdO5aNGzfi4uJCz5496dmzp6XLkod0/PhxJk2axNGj\nRylVqhSvv/46ffv2VQi1At7e3nz99dfmN3YvX77MiBEj2L17Nx4eHgwYMIC2bdtauEq5n/++fvHx\n8UydOpVffvkFDw8PevXqxZtvvmnhKuWOKVOm8NVXX92z7dixY1y4cIERI0Zw6NAhqlSpwrBhw6hX\nr57BVcqjohAqIiIiIobT7XgRERERMZxCqIiIiIgYTiFURERERAynECoiIiIihlMIFRERERHDKYSK\niIiIiOEUQkXEqnl7exf4FxQUxPDhw+/6jelHaciQIURGRj62/h+Fb7/9ljfeeOOu9evWraNp06bU\nrFmTPn36cPnyZXObyWRi+vTpBAcHExAQwJQpU7h169Z9x7hw4QI9e/bEx8eHFi1asH379gLtCQkJ\nhIeHU7NmTbp27crZs2cLtC9cuJAGDRrg6+vLsGHDCvwSzn/77+tco0YNWrRowYoVKx72lPwlkZGR\nDBkyxJCxRIoLhVARsXozZsxg165d7Nixgy+++IKjR48yefJkS5dlMQkJCYwZM+au9YcPHyYyMpI+\nffqwbNkyMjMzef/9983t//znP1m1ahUzZ85k1qxZxMXFMW/evHuOYTKZeO+993Bzc2PFihW0b9+e\n/v37c/78eQAuXrxInz59aNOmDStXrsTDw4P33nuP/Px84PbP2c6YMYMxY8awYMECjhw58sBrduc6\n79q1iw0bNtChQwdGjBjB3r17/+ypEhELUggVEavn6uqKp6cnXl5e+Pj40K1bN9atW2fpsixi1qxZ\nREREULly5bvaFi1aRFhYGB06dOC5554jKiqKXbt2mWco7/xcYmBgIEFBQQwZMoTFixffc5yEhARO\nnz7Nhx9+yDPPPMM777yDr6+veWZy+fLlPPfcc0RERPDMM88wceJELl68SEJCgnmsLl260LhxY156\n6SXGjh3L6tWruX79+n2P7c519vT0pFKlSkRERPD000+zcePGv3raRMQCFEJFpMhxd3cvsJyZmcmI\nESMIDg6mRo0aNGvWjA0bNpjbvb29WbNmDeHh4fj6+tK1a1fOnTtnbt+3bx9t27bl5ZdfZuDAgeTk\n5BTo+x//+AeBgYHUqlWLfv36cenSpXvWFRkZybhx4+jTpw8vv/wybdu2Zd++feb23NxcJkyYQO3a\ntQkKCmLAgAGkpaUBkJSUhLe3N7NnzyYgIIBhw4bdc4w9e/bw1VdfERYWdlfboUOHCAgIMC9XqFCB\nSpUqceDAAVJTU7l48SL+/v7mdj8/P1JSUrh48eI9+3rhhRcoVapUge0PHjx4z7FKlizJiy++yIED\nB7h16xZHjhwp0O7j48OtW7f4z3/+c8/juh87OzscHByAPz5/ACkpKQwYMMAcsj/88EPztVy1ahWv\nvfYa06dPp1atWoSEhLB06dL7jrtp0yZatWpFzZo1ad++PTt27Pif6hYRhVARKWKuXLnCwoULadOm\njXndpEmTOHnyJF999RVxcXEEBAQwatQocnNzzdvMmjWL4cOHs2DBAtLS0pg2bZq5v3fffZe6deuy\nZs0aqlatWmDmbcaMGVy4cIGFCxeyfPlyLl++zKRJk+5bX0xMDNWqVWP16tUEBQXxzjvvmIPStGnT\nOHjwIF988QULFy7EZDLx7rvv8vtfV963bx8rV67knXfeuWf/CxYsKBDufu/XX3+lXLlyBdaVLVuW\n1NRUc3D+fbuHhwdwO7z9t0uXLt2zrzvb3q89NTWV3377jZycnALtdnZ2uLm53XOse8nJyWHx4sX8\n8ssvNGrUCPjj85ebm0v37t3JyspiwYIFzJw5kx07dhR4BOD48eMcPXqUpUuX0r9/f8aPH3/Xc64A\nP/74I0OHDiUiIoLY2Fhee+01+vXr9z8HaJHizs7SBYiI/FW9e/fG1tYWk8lEdnY2bm5ujBw50tzu\n5+dHt27d8Pb2BqBnz57ExMSQmppqvm3dvXt3goODAXjjjTeYP38+AP/6179wc3Nj6NCh2NjY8Pe/\n/52tW7ea+75w4QLOzs48+eSTuLi4EBUVxW+//XbfWqtWrWp+wSUyMpLNmzcTFxfH66+/zqJFi1i+\nfDkvvPACAFFRUQQFBbF//37Kly8PQLdu3ahSpcqfOk83btwwzxre4eDgQG5uLjdu3DAv/74NKBDW\n78jOzsbe3v6uvvLy8szt/8tYv2+/nzvX+U7/rq6uREZG4u/vT3Z29h+ev6tXr5KSksKyZctwc3MD\nYPTo0fTu3ZtBgwaZx5gyZQoeHh48++yz7Nmzh2XLlhESElKgjnnz5vHKK6/Qrl07AKpUqcLhw4dZ\nuHAhEydOvG/9IlKQQqiIWL0PP/wQX19fAK5evUpsbCyvv/46MTExPP3007Rr145NmzYRExPDqVOn\nOHbsGPB/27vfkCa7N4Dj320PLMuwBCfNPzNCKymdQkW+CN8MIilrKmJBBAMJogwCNYSwFlqmMtRM\nJEOwCISE0BdiUBSBJU2ywpbpypb1QvEPWOKf8fxexA5OV/bYDx96uj6vdu/c97mP54BcnuucI2qT\nDOAX2AUHBzM3NwdAf38/cXFxaDQaVb5t2zYVLOXm5pKbm8vu3bvZtWsXFotFBSeB+NoJoNVqiY+P\nx+124/F4mJ2d5ciRI373T09P8+7dOxWERkRELKuPAPR6/aIgb2ZmhlWrVvkFnL7g0ndvUFBQwLoW\nnkDgq+tH71q3bh16vd6v/kDPB+IbZ41Gg16vx2AwqHFZqv/GxsaIjo5WAShAcnIyXq+X9+/fAxAV\nFaVmf+HbON+8eXNROwYGBujr6+POnTvqu9nZWRISEr7bdiHEYhKECiF+ewaDAZPJpK4TEhJ49OgR\nzc3NFBQUkJ+fT3d3N+np6eTk5BAWFkZ2drZfHQtn9eanwOd/9t3rC6CSkpJ48OAB9+/f5+HDh1y6\ndInW1laampoCtvWvv/x/7Xq9XjQajToKqampibVr1/rdExoaysTEBIAK4JYjPDzcb40kwMjIiNrU\n5btes2YNgErRh4WFBazL5XIFrMtXvnBt7MjICLGxsSoQHRkZIS4uDoC5uTnGx8cXpfDnWzjO8y3V\nfy0tLd99xvfHSKCx0WoXr1rzer3YbDasVqvf9wtndoUQPyZrQoUQ/1ler5fJyUna2tqoqKggLy8P\ni8WiArqFwWUgsbGxvH79Ws2Mwre1gz6NjY309PRw4MABKioqqK+vp6ura1Gw5zN/3aDX68XlcrF5\n82aioqLQ6XSMjY1hMpkwmUyEhoZSWlrK0NDQcrvAT2JiIk6nU11//vyZT58+YTabCQ8Px2g0+pU7\nnU4MBgMbNmwIWJfL5fI729PpdGI2m1V5d3e3KpuamqK3txez2YxWq2X79u1+73r+/Dk6nY6tW7cu\n62dbqv82bdrEhw8fGFTlIRMAAANaSURBVB8fX/RO3yy4x+Pxm9199eqVWsIx38aNG/F4POo9JpOJ\nu3fvcu/evWW1XYg/lQShQojf3sTEBMPDwwwPD+PxeHA4HAwODrJ37170ej1BQUF0dHTw8eNHHj9+\nzIULF4DAax0XSktLY3p6Grvdjtvtpr6+Xu0Ah2+bdux2O93d3Xg8HlpbWzEajaxfvz5gfU6nk+vX\nr+N2uykpKeHr16+kpaURHBxMVlYWdrudzs5OBgYGKCgooK+vj5iYmP9LP+Xk5NDW1kZzczNv3ryh\noKCAPXv2qPpzcnKorKyks7OTrq4uKisrOXr0qHp+dHRUHaG0c+dOjEYjhYWFvH37lvr6enp6esjK\nygIgIyODnp4erl27Rn9/P0VFRRiNRrXu9vDhw9y4cYOOjg5evnzJ+fPnycjIULOw/9RS/ZeSkkJM\nTAz5+fm4XC6ePn3KxYsX2bdvnxqrqakpzp07x8DAAM3NzbS3ty9K7wMcO3aM9vZ2GhsbGRwc5Pbt\n29TV1S17ra4QfypJxwshfnunT59Wn/V6PVu2bKG6uprk5GQArly5wuXLl7l16xaRkZEcP36c6upq\nent7VTr4e0JCQmhoaKC4uJiDBw+yY8cO0tPTVXleXh6Tk5OcOHGCL1++kJiYSF1dndpAs1BqairP\nnj2jqqqK+Ph4GhsbCQkJAeDs2bOUlZWpY6CSk5NpaGj44TrJfyIpKQm73U5VVRXj4+OkpKRgt9tV\nuc1mY3R0lFOnTqHVarFardhsNlWemZnJoUOHOHnyJDqdjtraWoqKirBarURHR1NTU0NkZCQAkZGR\nVFdXU1paSl1dHYmJidTW1qr0dlpaGkNDQxQXFzMzM4PFYvnl/0K1VP9dvXoVu91OdnY2q1evZv/+\n/Zw5c0Y9bzAYiIiIIDMzk7CwMMrKygKeNGA2mykvL6empoby8nIiIiIoKSkhNTX1l9ovxJ9G8/fP\n5KOEEEL8ssLCQubm5igvL/+3m7IsT5484cWLF989Hup31tLSgsPhkPM+hVhBko4XQgjxU5qamtSZ\nnEII8askHS+EEOKnOByORacICCHEckk6XgghhBBCrDhJxwshhBBCiBUnQagQQgghhFhxEoQKIYQQ\nQogVJ0GoEEIIIYRYcRKECiGEEEKIFfc/9z6eXdGwSb4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932d90f2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bands_per_capita_df = bands_per_capita.sort_values(['Bands Per Capita'], ascending=False).head(10)\n",
    "plt.figure(figsize=(10,5))\n",
    "ax = sns.barplot(bands_per_capita_df['Bands Per Capita'], bands_per_capita_df['Country'], color=\"#00304e\")\n",
    "plt.xlabel('Bands per 100,000 People', axes=ax)\n",
    "ax.set_ylabel(\" \")\n",
    "ax.set_yticklabels(labels=list(bands_per_capita_df['Country']),fontsize=13)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After adjusting for population size, we see "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Is All Death Metal Satanic?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def parse_words(words):\n",
    "    x = words.dropna().str.replace(\"|\", \" \").values.tolist()\n",
    "    x = list(map(lambda word: word.title().split(),x))\n",
    "    return x\n",
    "\n",
    "def genre_corpus(genre):\n",
    "    cloud = WordCloud(stopwords=STOPWORDS,background_color = 'black', width=800, height=400,collocations=False).generate(' '.join(str(r) for v in parse_words(bands[bands.Genre == genre]['Lyrical Theme']) for r in v))\n",
    "    plt.figure(figsize=(15,7))\n",
    "    plt.imshow(cloud,cmap='bone_r', alpha=0.9)\n",
    "    plt.axis('off')\n",
    "    return plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Overall Word Cloud for All Genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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67qSjoofmvR0468Y+lo7nozN++evr8NdHppA7X3kx5j6+2hp8tdGuia5tW2Bb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WXeMaVyfxiB9/5ymKG5Yw7+5vE+xvRRDVmMvrSSUkJL8HrXli1fQuxtd9grKlW7Ev2oTaaCER\n9qOzlFJUuxhf5zFsTSum6dVcPfzsn7yo1AJqVTrHBeDv/4sbrU4YPRn5cNv5ym6/+uH5ojw//oEX\nlQakaLrd9rfC7P80SuLc6Yx7MMmv/93Hr/89s5DP3/xxZqXJk4cl/vaki1RSydCs+vE/eEnEldE6\nFykZDu6OEg5lOglGfQlrF38j45rH38bJs7lP9KdCf6qNxbqNAOyMpMM5zaKNmDJ1ocvxuOIcl/0v\n95JKKmz9vQaKyvUEBmNs/0k7R966fJ6ntUw7rujiZCkqveL+RHlp3heitzX/brdl9WqKN98AQCoc\nInjwAAmXi+KNGxl66cVpt0dXXTPm2PqGBmKdnTnvCYiEIi4UJXUuQf90+jUYHYQjQ8gzkOCoURsZ\ndB/D6TqacT2RiJIgekE7PWUlCwFo7Xpv1GkBCIad9A7sp6Fma9b4oqihpnIdspzkTMc2Eon0mIlk\nlLPdH7J6ydcoL11Ke88OUqnsMsOF2jfTxF2DuF5/iYqHH88KG7MsX0Vg7x7intyJ259XfO72jN+H\neg5eJkuucY2rn969rxGP+LDWL8XasIJUPEqw/wzOIx9Quer2KTsu8ZCPju2/wrHiZoqqFyCIKqSA\nm969r+HrOE5RzYJpeiWXDouxgmrHGopNNajUOhKJCFHJi8ffjtvbTCKZe22h0xaRTMZIyeOXxk8l\nlcxCbWSHc+UimVRIXtAvkVBGnZaJkqvfhTZsuc3IxpuNPP0v2Zo3UiJES+c2NBojFqODMtviSdlQ\nCH2JNsKyH9UFbkSKBJ2JmS+EIyjK7FDVq66uptaxgWDESTg6yKL6e2npeQcpHkSnLcJirCAQ7jsX\nly9gMZYTDDuREumKCiZ9WrhQrytiONCJosgUmyrRaYrwR/qQ4kFMhjKikhdZTqLVmBAENUZ9CYqc\nwBdKJ/9r1Aaq7KsQgGDUicffgclgJyr5kOXEaD8pfj7k6f99eeGMOS5XCztfG+bZvx9fR6F4Y7ok\nrH9POlFZV12D7ZZbSUXCqExmUoEArtdeAUXBunkr+sa0+nK07Qz+PbuznBFddQ1SXy+2W25DbbOi\nLraiMhrwvPMOciSSc2xtWRnFmzZjXLBw1HEZfOE3o2U9ly14mCJTNbsOkCIcHgAAIABJREFU/SNz\n62+nrGQBew7/KxZTJSsXPUFLx5tEoh5WLX4qQ8dlqjkuAJ8d+VcSybGdgMryVcytu41hfzsnW1/K\nuq9W69i48o+BTAHKKsdq5tSOH6pwqu0VPL7zJ5wTtS8XolZH/Z9+L+v68AfvjpmcPxYqo4na7/wf\nCOpM519Jpej+5x8UHDKmtZdhXrES47yFaGwlE7Zj+IN38R/cly37PkEMjU1UPPLE6O+9/+tfSPgy\nTzBNCxdju/FWNDbbxd3z0vH//Q228vmoVDrcA8fHbOt48DGMczNLuwYO7sfz3lsFzwfpktWOBx7B\n0Dgn616k9QxDr72IkszObzTOX4Tj/ocyrnX/yw9IhdO7fIIoUrR2A8WbtmSduOUiFY0SOLAP/2ef\n5pxvMpgWLMK65Qa0ZdlicvmI9fbi/WQ7sa7pE1nW2suw3XAzxvkLJ9w3GQoRaWkmdPwo0kDh+jdj\n2WGYMx9BNbHT+um04xrjo6uw4XjqFqJn01VbXS9d/jLdKlHLhuV/iErUcKbzbYaGm9Oi0AgUW2ow\n6EsZcB3J2ddqqWP5vIc51f4abt8lFGOdBdiKG1k254EZO3GZDH190/MZnpXb+YlkjMHhk9gsjfhC\nXTRWbmbAc5z5tV/A7WvBVtSA03OCBXV3caLjVWQ5waKGexjwHCWZjAFpMSaD3k48GWJxw30cPvMM\nFkM5Jr2dIW8zteXrcXqOk0xGaaq6AV/b80B611ml0pFMRkidq6pj0tmxGBw4h09QW76eAc+lq050\nNdDbGuOlf538iZi6uJjB555BSSapePL30NrLEPR6dLW1OJ9JlxV1PPIYse7cideCSoVx3nz6fvRD\nRL0exxNPEm09g666JufY8aEh3L97jervfJfB53NXxRkhFB6gsmwlep11NL8lEOpHrZq8WNdYJPPk\nl1yISkw70XKeHabUxVtK51CLaZvjiSChSLZY4giJZP6qcIXYd6lIRcKETh7DsmJ1xnVBpcK0cDHB\no4fG7K9vaMS6cTOGhqYp2VFy6x0YFy/D9eoLJAPTl+OlKraOOi6CKFL6hbuzXmuhSFEfRSUN02bb\nWAgaDY77H8HQmP3vGm4+ieuNV1FShZ9YaiuqiJ5tRWUwUnb/Qxhq6wvuqzIYsG25AcOcubheeZ5k\nMDh+p3xjGY3Y7/5SlmNXCPqaGiofe5LA4YN43nlz0jaMYN2SFmIVxMmpb6jNZorWrKNozTpcv3uF\n0MmxHdrZbsc1CkNbVYrnjX2ET2VXeLtcmI3lqEUd/lAPg8OnRq8rKPiCPfiCPXn72ooaLoGFn0/U\ngpY6zUKKBTsqIdOVOBB7b2bnntHRp4CsyGgENSVFc1CJeuzF89Co0ztoHv9ZvMFOik3VmA12AuEB\nEskIfa4LFiKKAkoKi6EClUqLIIi4fK0sqP8CLl8Leq2VcCwdLnJhWI8UDxCVvMQTAXyh9AfC7T/D\nwoZ7GfSeQq+1EonNDiGzKwHPQIIf/kUXUmzyu81xp3N0N1SOhBG0WrRl9rSw4LlTEGlgAK3DQXww\ne8GtpFLEujopfyC9Uxvct2/MsSdCMJzembIYK7CYKkgkI8QkH2Zj4butcN7ZmA5S5yp/iXnGFPOU\nwxzpFwj103x25tXaLwWhkydyLuYNc+aM67joHJVTdlpG0FdV4Xj4MQZ+9XNkaXqcO3XROQ0bUaT8\nKw9hnDe18I/y6tXYyheMOg2nD43ttE8GQaPF8eAjGOobs+4Fjx3F/fbvJnwypausQurpxvHo4+gc\nlZOyS19VjeORx+n/5U9REhMv8qKxleB45HE01sJPunJRtGoN3u3vI8cn/x6x3/1FLMtXTcmOEeR4\nnEhrtqjilWTHNQon1jVExVO3oLKk11qBvS2X2SJGIwIKpaS4keqyNZiMZWjV6cpti5u+lNVu5+F/\nGK24NpIb0tH/CT3OvVTaV1BZthKj3oYspwjH3LR1v084ml4zjpxmuH1nONWe/V25dfWf09X/KV3O\nPRnXzcZy6io2YbXUoFbpuVg0FOCz4/9OPBHO6LN83kMFt58oapWOWsc6Sq0L0OuKkOUkwfAAPYP7\n8QXzV+Gcp12JTaxgKNVNUhk/DG86mbWOS2nxHHqH9mM2lOPynWZwOF0vuqJkKapzu9miSju6e3xx\nToGjZAkqlZYu526KTemytCk5TjIZw2FbzHBwjCN5ReHCN4ispIjGPFSXrWY40J7V/Onv97Jsk5mF\nay3UzNNP5WVfVfS1xvjXP+vE555itbccVSrig0NYF55XX9ZVVeFra0WJxxGN6XJ8F+p6qExGvDu2\nk7g4tyFPBQxFURDUmvP1DvMQiXlIyXHMJgdmo4NAKL92x0hUpihm643otNMnfjoSxqjX5Y6T1mmy\ny3ACow65yVA2bbZcbmI9XchxCVGbeQKmr8teOF9M8MhBrNdvRdRln57J8TjxwUHirkFSkQiKFENQ\nq1FZitDV1KIrz3ZctfZySm65fdqKA4yIb5be+oWcTksqHCbh8yFHI6CkEPUmNHZ7ZgjVufdkJDjE\nsd0/mha78iFotDgeehRDXUPWvcChA+lws0lELuuratDcfleW06KkZGI9ncRdLuRICGQZ0WSiaO3G\nnCcAWns5JTffjufdbROaX222UPHYk6iLcn+G4243sZ4uUqFg+vlkMKK2WjE0NKEyGrPal33xKwy+\n9JsJ2TCCZfmqnM5CKhwh1ttFwjuMEo2ipFIIOh2iwYi21I62zIHKnF3GNHTy+KScqHx25LIFtXrG\n7LjGBJEVgvtaEDXZ31GXi5Hv2CJzNVZL7ZgnLACyohCKDhGKDlFSPAeT3o7bd4aodFFhoBzPGq3G\nzJyam6ksW0Eg1IfH58Ggt1JkqpqScwDpzc0VCx4FFAbcx5HiAYpMVdit8wHo7N9JKDqUkasz0mfA\nfayg9hNFpzGzbN7DGPUlRCUfw/52NGoD1qI6bEUNtPZ8kDcMzyZW0BzfhzflnPT8k2XWOS615euo\nsq/EG+gkFB0iInlZUHcHFmMFKlGDP9RLiaURo86GVmMiHMtdvSkW91HruA6txoJKdX7neXD4JAvr\n7+ZgSzrEqLFyC0a9jcbKzfS7jyAlQgQjTpqqtlJkrKJjIK09MTB8jFVzH2P/6Wwhq5ZDIVoOhQAn\n626zsmidmUXrzNjKP595L0pK4aNXPLzyvwZJSDNTGk/q60Xq7KTi8bT6cqytDam3BwSBVDBIxVNf\nIxUOEdiz59zCU6D0zrsBGTRaPK+PE/OpKISbT1L59d8n5fflTeBXFJlwZIgiSw1GvX00ST8XIyFW\n6fekNiPBvaR4enb2AYKhfhQlhVFfil5nHa14NoK1uCFnv0Cwl2QqikFfQpG5mkDoKogpl2Wk3l4M\nTZm5FCqDAXVR8ZihW7IkETh8AOt11wNpob1wyykirS1I/X1jLrJ1ldWU3nEXusrMcuHmpSvx795J\nwpedWDlR1MXFmBYtoWjNugyb/fv3Emk+Qdyd+9mosdowzJmHafFSEFUXvBcFrPb0+zCVjBP0jb1A\nmAiiVkv5Q4/lDOPy7d2Fd/sHkx7bMGduxu9KKoVvzy4C+3bnPN0KHjpA6W13ZfUDsKxYjX/3TpLB\nscWLL8R+9305nZbo2Ta8H3+INJjni10QsCxbge3GW1GZzi/WjfPmU7x2A/4Dewu2AQBRxHbDLVmX\nh159kXBL87hOoaakFEPjHIxz56dPGkWB0JEDE7NhDDtSoTCe998a15Zps2OSCGoNDV/9Ds73XyPa\n3znjY5Ss20rRguV0PvNvk5prOkl4gwT2t6GrLyPaOjue/yk5QdfAbpqqb2TZvAcZcB+jrTv/88IX\n6MQX6ARAp7Wk0wOGTxWU41JuW0AiKXHg1M+JSee/G3Ra86RyNy+kvup6REHNqfbXcfvOnx7Oq7+d\nytIVJFMSw/72nH3O9nxYUPuJMq/+Doz6Enqcn9HZ/ynKuUqgaYfpEebW3ow30Jm1hoB0gaK4cnnE\nxGeV49IzuJeewcyHtSwnaO58E5WoQZaTOEqWMOg9ybC/HVk5f4R4vD0zCdkX6iUQfg1FSY3+MQD8\n4T72nvrx6O8dAztHnZMRQtFBTrRnqvUqisJwsGPcGP797/vY/376j1xRr2PRuvRJzILVRvSm2bOL\nMRMoKYWju4L87ieD9LdPbhdgJCl/BKmvN8NpuPBn3+5PYfdFyYOKguvVlzMuFW+4jlhHB4GDaVVw\n6823oKupI3TsSN6xAYbfebsgm4PhAaod6879nP/ERYoHiUk+9DorDdVbaO/ejoKC1VJLTeW6vP0m\nSiIZw+1toaxkMfMa7uBU22uj2itGg526yuty9kvJCXoGPqOx5iYWNN7NqbbXCEdHQu8ErJYaNBrT\nmM7ZbCTuHsxyXAA0ZeXj5pwE9+9FXVRM8MihCSVOSwN9DDzzCyoeeRJ9be3odUElYlq4BN9nuwp/\nAXnQ1TZgWrhk9PdIWyuuN15Bjo392Uv4vCQO7iNwcB+iVkvj4rvoOLUNRU5RM/dGPM5T2Mrn07z/\n11nidZNB1OrOOS11Wfe8Oz/G9+lHU55jhFQ0yuBvfpXfWQASXi/OF5+j/EsPYFqYWXVHUImYV63F\n98n2gufM9d7y7voE3yfj6OAoCsFjR4h1d+J47Ck0xedPSG0330akrWVCDq6hvjHrtEJJpQifPpWn\nRyaJYQ+JYQ+Bg/tQmcwYGpuQnBPfTc1nh/O5XxZUzW9SdggCtlWbKF68CtFgIukfxndsH4HTR8fu\nl3Oo9GmcMsEQpeke43KgMuup/MYdxDoGKd68BOfPZzZXoVB6B/cDCvWV11NlX4XFWMGA6wiDw80o\nU1XrvACN2kRzx5sZTguAFA9NeewiUxUKCh7/2Yzrw/6zVJauyBlePtKn0PYTwagvpaSoiajkpXNg\nV8Y8wYgTp+cEVfZVVJQupbM/u0iDR+6nXF1LR/zklOyYDLPKcRmLkfh7WU6hKKkMpyUfhbTJ3/f8\nh6HcuohS2zw6+j+e0BjOLglnl8SOlzyoVAINiw0sWm9h0VoTjUuMiKrJJSzOJlJJhY6TEY7tCrL/\nAz/ewUsb61gIkbZWSu+8G/2cOQiiilQ0QmDX9FVLGclzURR59Od8dPbtZGHTvVSVr6HUOo9kSsJk\nKGPQcxxbUSPaPGFcE6Wj9yOKzDVYLfWsX/5NQpFB1KIWk7ECt/c0FlNVzlCyXucB9DoblWUrWb3k\nqVEhTb2uCJVKj8tz8opzXBKe3DlpozkiY5AMBXG9/vK47XKhJJO43niF2m//ccZ1fV0DTIPjoi0t\nHf05dPworm2vTzjUSo6nP6+ynAQFuk6/R9DXg8FsRxBVKKmpOS6iTofjoa+ir6nNuje8/X38e3fn\n6DVJFIXBF58b02m5sK37rTcwNDQh6jPDew2NTQU7LrnCCEMnjo3vtFxAwufD9frLVD3x9dHQV0Gl\nwrJuI8PvF7Z5AqDNEZ4YOTO5z2oqHCJ0YnJFaPLZMZkS5IXaYVt9PbbVm3B9tI1kOIS+ooZkZHKL\nTTkRp+Pp/zmpvtM5xuXAuLAW7wdHCJ/swvHYjQhaNUp8djhfvYMHGPScpMK+jMaqG7DUV1JXsZHT\nndsIjLFhOBGSsoQvOEOFCQQBkOEiR0Q+l9OnypV7OtqnwPYTwFqUPv32h3pyblCN5PPkc5B8qSHm\naldRLJThUzJzizvjhW2WTJYrxnEZYcjXfFnmnOq8qZTC2eMRzh6P8ObPQG9UMX+VievusrH6xvwL\nqOO7ggS8s+PBocgKyYRCQpIJ+lJ4BxMc/tg/awQy85HweHA+86sZGz94TogyEnXn1De5ENdwM7Kc\noKZiPSZjOcmURHvPh/QPHmLpgoemzXGR4iGONP/6nOL9HIpMNUjxAJ19n9A3eIDFc7+cJwdGoa3r\nPTy+VirLVlFkrgIUojEfvmAng56ZfSDNBCOlci9GZbbM+NxJf/aOucZRMa1zxF1DuN95c1L5IQBe\nVwvzVtyPq+8IcipJZeMmBEGFnCosN03Jk0wv6nQ4Hn4cfXXNRR0UPO+9ReDQ9Ib/BI4cROrrLbi9\nLMUIHj9K8boNGdd1jkoEtbqg8sgX53HIUmzCpaEhfbIcPn0K06LzJ2iWFavw7dwx7gnaCCpz9rMj\nMY1V7ArlcthhblxA4ORhgq3p3d9of/6k4lnH7FCkAEDqdlH65U0IKhFVsWnWOC0jJJJRepz7CIYH\nqK/cRLG5jqXzHuDAyZ9NOQcFQJIKDxGdKKGIE6u5nmJzbUbSu+2cAxGMZG+4jPS5kLHaTwSdJv39\nV1G6nIrS5XnbaVS587Zr1POJyWHUgha7kPmM7+Sa43JVEoukOLYrgMcZH9NxefdZF21HZ16J9BqF\nc7zl+YzfY5IvS3slFBnMujaCx9eWoYOSb9wRZDmZd6yxiCfCtHa+Q67I3pOtY58ieP0deP2FhUZN\n1r5LRSqaOw734oT9S0Uh+iITYfjD96akQTLsbCYWHqbYPgeVqCYcGsLZWbh2Tq6kaVGnw/HIE+ir\nqi9qrOB663VCxycewjMmioJ/z8RPsWKd7VmOi6AS0RRbxz8hEAQsqzNDPAOHDky6alzw2JEMx0XU\naDA0ziHcXFgohpLMDpmZapWzyXA57EjFomhLy/Per//qtwm1ncKz96PRa6UbbsQ8dzFdz/776LWm\n//AXqPTpnMj+N39DuCOzkpnWZqd0480YqhsQNTpS4SDeY3vxHd5T8BilG26kaNk6RLWGcFcrCd9w\nlr2W+csoWbcFTXEJyYAf/6mDeA9/lreYzHQRH/Ix/PZ+jAtrGXx67LyzBx438/t/NP6p9Vj86Tc9\nnDwy8c9Lugzy8yyZ82VKi+dSWbo8q4LXZFCYfuHoEbr7d1M8v5bFTffSN3QIKRHEYqygwr6cqOTD\n6c4u9T3Sp75yU0HtJ8JIOGMoOjh6upKLWCx3uOpMlzwei2uOy2XG2SWRSiqo1DMfNqYS1Vj0DnyR\n2ZF0d40rh6I5S5D8HiS3E0vTIhJBHzHX5LV5Lil5FvUXC1NeKgSVCkGjRUlMPawy7nYT7Tg7fsNx\niAQHiQQHJ2lE5sJD1OmpePSJrMIESkrG9buXC865mAix3t6cp1vjEXfl1isS9OM7lzpHBZqSTEHS\nyOnJx3vHerpAVuCCimf62vqCHZekNzsk0jh3/qTtmSz57NDay/IWjJgq3sO7qb7vcaq++Dj9v3uW\ni8NxCqX9J/8dUaNlzh/+56x7apOFmge+juRyMvDWi6TCAbQl5aSi4YLHALCt2Yzro7eIDnRjrJuD\nfdOtJIPnT6SM9XMpv+kehj56E2mwH42tlPKbv4ggqhg+sDPnmNOJ1O1C6nahtpogMrsrubmGmykt\nnovBMHFh4Omh8HWbL9TL6Y5tLGq891yeqUA8EcbpPkbXwK6c+dMjfRY23lVQ+4kgJdKaVcHwAK3d\n709prEvNNcflMpNKKgx0SJMqoywIIjcs/C6QFmNKJKN4w910uvcSjef6EhemNZHtGp8f1MU2klK6\nqoqmyIacTIcRaYtt6EoriPR3kYpF0JiLQRDQ2SuJDfWSDKcfjhqLFX1ZJVFnz6RjzyeLIudZxAiX\nL8dMEMVJLq0yibZffjXoi09ccjstKYZeeYFI28xocUQ7J1ddR47lrhR0cd5LLnQ1mcUGUpEI0uAk\nnT9ASSSID3vQ2u3n56jNzg3KR7SzI8vxEVQqDE1zibZnn/DOFPnsqHj0KVzbXpsRW6J9nfS8+FNK\n199E45N/xPDBnfhPHmYyDky+ghTFS9eCojDw1vOj7/m4L3f+3FhFLUJnTuA/ldaQinvdGGvnoLWe\nX3iXrrsB//F9BFuOj84ROHGQ4qVr8zouc01rcErthJLenPcng+2Wlbhennou3kyi1abDnfKVBB7R\ngBGF6V3qyudCwvW6wkO7tRojc2tvxuNvo7njjYL0aUb67DryLxPWsxkPX6ALqsFqqUcQVAWtDcvU\n1biSY298F9JmqogzOvoVjnnDOmr+6i8xrZkeEa189LZNrcxe2+An7Dv7K04PvI9OY2ZN46OY9dla\nHCk5gT966WtuX+PqwFBRi7lxEdqSdEiGzl5B6bqbkRMSFTffh6jVYaxpxL7xVpSkROUtX0ZUa9AU\nWbFvuIWUFKPipvsuud2COnc1v6mEV80WpN7pK1k8WeTY+ZMjUafLclrkRALnC8/OmNMCEHdNzmHI\nJzYpqMZf6Oguyt2Ju4emnK+QusipV1sK13dKBvyEW7JPsyoe/ioVX30KQ+OcS+Ks57NDZTbNqC2S\ny0n/tt8QbDtF2Y13U7L+hmkdX2evIDbYP2U9mZg78zs4Ppx56qctLce2ZjPzvvvXo/+VrN+K2lKE\nkEMDDKDWsJh11ntYZ72HWsNidOLEw1HLH96KcUENdX/xALV/+hWKrls04TFmAmtRA3brPFRipji0\n1VJLXUW6QqbHl/vZEj1XxrfEOn1yA5BOXJeVJGZDxWiSexph1KaLKTLVoFGbiMUDCEJhS++RPoW2\nnwjhqBuPvw2Dzsbc2puyBKtFQUWpdS5q9fmQ6sXajYjkr44romKxduO023oxV9SJi7aiAsd3vjn6\nu5JIkgoGibV3ENq1h4R7+hXtFTkJqZk9pehpjXHdnZPvn5RjROM+onEf3nAXK+vvZ0HlrRzsmJyI\n2TWukQtBENPCfecWHOaGBfhO7CPq7EFrK8dQkd6BDne0EO5px1BZj9buQF9WjUqnx9K0CJU+W3Bv\nxu3WaHNeV5JTFEadBSR907fDOllGFnKCSkX5/Q9n3pMknC88O+MOVnISFaumiq4i00Gbjr+FImXu\nHKv0+nFFcC9k+MN30Tc0ZeVRGeoaMNQ1EPd4CB0+QOjkMVKRmdNgyGdHLlv8+wvPpyoE9+73AZni\nJasZ3vdR3naiOvdzIS8T+DtMhIziFoKAqNHg+WwHwebsPDBFzr0WaQ7uwaGvx6apZK56DXNMq/Em\nBnDG2nHHe0gVUGF16PlPMC1tYOiFT4l1OCl74PpJv6bppNhYSX3VZmRSSFKAeCKIXls8Ktrc4/ws\nryjlkOcktRXrKbctxqgvIRIbRhQ0qNVajp15YdI2JVMSfUOHqHWsZ9ncB/AHe85VCC1Hr8ud9+ML\ndhGKDlJdtprqstWj11NynJjkZ8BzjP6hzFPCkT7Xr/jjgtqX2RagVulRq3WYzwlJG/Wl1FVsJClL\npJIxAuGBUTHOM11vs2zeA1TaV2G3zicUGSKZiqPTmjEaSlGLevad/DHJ5HlnvUhVSkLJ7bxrhAl+\npibJFeW4AGlH5Ww6LEBlMqOprMC8djWmFctwPf0MUtf0fUGG9u4ntHf/tI2Xj762ySufXoyiKPR4\nDrO05h5MuhLCUjrx7/oFf4hG1HG893d4gtlJ19UlK6m2LUevLSaZkghLblqdO4hcoDbrKF5AXek6\nDDobUjzAgO8E3Z6DABh0Vhrs12E1VqNRG4knQgz4TtDl3j+heXLN0TN8aFR1/hqXj8hAF5HedjSW\ndDWytCJ9OqRG1OqQExJgGk16F9ValEQCJRkn2HYCf8s0J2QXyIXifhci56k2Nh6CSoXWXoam3IGm\n1I7KZEJlMCLqjQg6LaJag6BRI6g0CDOsQJ0qsOLUTCJLEggC9ru/hKG+8fz1RBznc08jOWc+F6rQ\nylvTycWq92OpxU8aQUCl15OKFnYqnwwGGXz+WRwPPprzfa8tLaXk1juw3XQbkbMthI4eIdLeBnkq\nw02W8ey40BZdXd2025GSJBDP71LL0vln1ej89vzJ/LmIDw9iWbQKQa2Z0qaHrjSzvKy25HxoIIqC\n5B5EW1JOIlR4JTan1IZTakMr6inT1uPQN1CiqaJEU0VSSeKOdzEgteOLjx1xET7ROfqzb/vkymFP\nN25/KzpdERZjJTqdBb2umHg8iMt7mgH30THLF0uJEMdanqehegsWowOToYxkMkYwkju3bSJ09n1C\nIhnGUbqMIksNspwkFHHS2v0Oy+c9ktFWJWppqrkRo74Ef6gHKRFEURQEQBS1FJurmFtzC2pRR/e5\nIgMX9hnynhq3PcDCxnsQLgqkMuhsNFRtHv29o/8TepxpvcREMsaRlt9SaV9OeckiLOYqREFFIhEm\nEOrH7WslfpGGzQrd1in/202VK85xSTiHGH759dHfBY0G2z13Ylq9Ets9d+L84Y/H6D076Z1GxwUg\nGEt/KE16+6jjsqvlR6hEDVZTTVZ7q7GGOY4tnOx9k7DkRacyYDXVZpQXLDE3MK/yFloHthOIOTFq\nbSyovHXUcZFTCaRkiOa+d5CSYYqNVSyovJVgzMVwqLPgeXLNIQhilgN0jctPoOUI5VvvwVQ7B1Gr\nJTrQg7a4BFP9PLRWOyqjGckzSMI/jOPm+9CXVyOoNTh3vD7+4NOIJo9eSzJUeOlLUafDOH8RpoWL\nMTQ2Iahmh5isLF1+x0WJS5TcfCvmJUszrosaLZoS+6VxXOKXWD9KEHJquMzIVBotFOi4QFr8tO9n\nP6L09juzBDZHx1SJmOYvwjR/EclggOCh/QQOHpjW91MhdgDTYkf5jXcT6W4nEfCiK6vAtvp6AicP\njt6PDnRTtHgV4a4zJIMBTI0L0FfUkszhHIyEYwlC5mfcf/wgxUvXUfmFBxk+uBM5GkZdZEVU6wi1\nNxc0BoBlwTKi/V3EnL0Yquow1jRlhAgO7/2IyrsfJj58A+GzzSAIaEvLEURxXEHNuByjL9ZCX6wF\nnWikXNdAma6BCt0cKnRzkFIRnFI7TqmdSCqHYzQSvadAYjg45lyXinDUzZmudyfdPxQd4kTb2FU0\nI7FhPjn09xMaV0Ghd/AAvYPZZd0vHqupZisVpcs51f4abl92XqJWY2LDsm9RXrJ41BEZq0+u9gA7\nD/3DhF4DpPOA+oYO0Td0qKD2x6SdeU9c1IKOFbotE7ZholxxjsvFKIkE3m1vY1y2BE1FBaoiC6nA\n+Q+c2mbDtGo5+vnzUNmsiDodqVAIqa0d//aPSQUyFy+66irK//BHxf8oAAAgAElEQVT3M65539hG\naN9BcmFauZyS+7/E0I9/jqDXUfrIAwiCSGJgEP/HO4mdGT95NuRP4nUlsZVNz58jJae/xFVCZsxi\nvlMLlUoDKMQTEWJxHzF8+KOZi42GsvX0DR9h0J8WNItKPgb0J0bvS8kw7YPnRR2jcR81tlVY9OWj\njksh8+Sao8q2/JrjcpkZPnT+bzt85Lxo4MD7L2VpXgROHyHU1YqSSl+TkwkG3nsJUaMdTeq/lGjy\n7KwmveOH9ghqNUWr11G8acu0lzGeFmbBQaRp+SqK167Pec9+z30k/N4J6atMhksd9idqdZe1uMN4\npMIhhl59EV1tHVWPf23MtmpLEbYbbqF44xb8+/cS2Ltr0iWdx7LDtvUmDHUNM2KHqNZStvUOVAYT\ncZ+H4b078B0/v6AcPvAJaqOFijseQBBVhDvO4PrkLWyrz4dDlW68BdvK60arDVbe/RCKLNP2w/8G\nQCLoo/flX1C68Raq7/0qglpDKhTAe3jXuGPEh110/+ZHAHgP78G++XYElZpwewuune9Qsub8jnio\no4X+bb+lZM1WStZuQZFTJLxuhg9OTDRZkiP0RE/REz2FQWWhwbiMcm0T9cal1BuX4k+66I6exC2d\nj1Ixr2hCjiWInO6h7IHNuF/bk7O89TUmhtXSiEIqpwwCQCIRQZYTaC7IJxmrT672lwp/yo2cp2z0\nWPkv08kV77gAKPEESY8n7biYTRmOi+X66zBvWEfC6URqPYuciKNraMC0ZhW6xgYG/ulfM8ZKuD24\nn3se0WjEsGgBhgWFlZM0X38dxsWLCO49gKbEin7eXMoef4ShXz6D1D6+HkZfaxRb2fQI4qnPCQYl\n5cIe+sPBTga8J1nd+BDB2CAD3lMM+k8jXxAXa9TZKdJXUl+aqVvQ6d6LosioRC21pasoNTeh01gQ\nBAG1qMMT7pjQPPWl67LmgHR+xViVWq5x+bjQaVGSSRRZHnVaLkSehvK/k0F7UbI4pCuNjVeaVW22\nUP7Qo+gclQXNo6Rk5GiUlBRDScTTrzeewDBn7qTsvlLI57RAOqzOcf8j9D/900mVK56tiBrN+I1m\nAVJPN/1P/4zi9ddhnL8IQZU/yVfUarFdvwXLilV43t1G5MzpabXD+ezT6KpqxrVlMnY4P3h1zPuy\nJOF8/5Ws64EL8kg8ez7Es+fDsV+HZ5D+N5/Le7+QMXK1CTQfyfg93HEmS/9lMlg15Th0cyjT1aER\ntMiKwlA8LX5o19SyzHIjLl0PzcFPUdlN6BsrUOJJRIMWfeP0CuV+nknJMQSsFJmr8YcyN3EEBOoq\nN6IStQxfoJ2Wr0++9peC0/F9eZ0WAJkUp+P7ZtyOq8JxARDO7YbKsczFeuDjnYQ+25eRuC+oVJR9\n/Ql0dZnlLCH9gIs2twCg0hsKdlyMSxbje/tdgrvTsYPmDWux3XMXRZs34irAcelti7F00/Q4LsWG\n9EIrGCusZr6CQqtzB92eA1RaF9NQdh119jUc7nyReDKCgIBKUNPp2sOAP/NIfMSZWFh1GyZdKWcG\nPiAYGyIlJ1nT+NiE58k1x4XzXGqeft2Bo/LyhAUpCiSTCqlk+v+JOIRDCuGQTCQk4/XKeN0yHncK\n12CKgb4Ufd0JopHLtw0faDsxfqNLiMpkRmvPrrAXdw2OWVVMZTJR+dQ3UBflruqUCkeInG0l1t1J\nwu0iMezOuzvc+J//enLGX4HE3e6Mcr6Q/rd0PPgoA7/++bTt5F9ucp0cRlpPE+2Y/oVEvpLNhSL1\n9zL02kuoTGYsy1ZgXrE6S3/mQtRmM477H8a7aye+T7ZPae6p2DKTdlzN6EQjFbomKvRzMarSa4pw\n0k+XdJxB6SzxcxuaWlFPk3E1lfo5xIwr6YicAFlBXWQgFTYy9MIn105bpoke5z4WNd7LsnkP4g10\nEpP8KCjoNCaKzNXoNEVIcT8d/R/n7DPgOjpu+0vBYDJ/PtFE2kyVq8Jx0VZVoi4qIhUMkfRm7uql\ngiFSwczkIiWVInL4WE7HZbIkPMME95z3NMMHDmO7+040lYXt1vZMU56LSlRTW7oWX7SPWLzw5D5I\nCxJ1uvbS4znE+jlP4iheSI/nEAoKoZgbg650VLToYkrMjbQPfYov0g+kS+kZtMWQI/95rHnGmuPz\nhiCARiOQ3txNh6XYSoFxjmMP75c4ezrJ2TNxWk4l6O+58sv+TpZ8sfXjiTba77w3p9OSCoXxfvwh\noRNHM6sBfc5RUil8u3bi/+xT7Hd9EfPS5Rn3tWXllH3xfgZf+s2MVGa61MjxeJZWSdzlJnBw5ncb\nJ0sqHML32S58n+1CX9eAZdUaTAuXpCsF5sB2/RbkcGhGXtOFtpTdd/9ls2M6qV54E0Vlc9OPalmm\nZc/TyDlOngEcjRsoqV2Bb6CZgdZMbRarYz6V87eSSsQYaN1J0NM17tyioMKuraVCP4cSTSUCAikl\nhVM6y0CsDV8iOxk9Lsc4HdqNUV1EubaeNu8BvB8eRtRqZk1+y9WCy9tCIhmlunwNFlMFJcVNgEIy\nGSMS89A3dAin+1iGqOSFfarKV43b/vPEleu4CAKiQY+uoQHrF24FQSDw8c6CvxRToekVwZM6OjPm\nVlIpUpFIwQmcfVPQclGLeow6G2Z9GbUla9GqDZzqejOrnSiIWRUnAMqK5qISdYRiQyTlBEX6MtQq\nfYaIZZf7M5bU3EM0Powr0IaAgElfyqA/fToVi/soMdXhDrahEjU02Ddm1R4vZJ7yonlZcwiCiNOX\nfQpzjdysWqdj1TodkK7m4/XIHD8scexQnAO7JJwDnx9Hxrwid5Wn6Nn8Inj6ugaM8xZkXU/4fTif\nffqqCnmaDuKuQYZeeZHEcPpU2/3W71AVWzHUZm4MGefOo+Tm2xn+cPKJtrMGWSYZCaE2nz8lV5ku\nfanvyRLr7iTW3Yl3xwcUb9iEZdXanKFbJbfcTqS1hWRgYptgE8H1+suzwo6poDeXYi6po3nnTwBQ\nqXV5nRaAwY69yEoStSb7PVNSs5yek+8SGi68Quom2wNozumcBJLDDMRaGZI6SCrj534Fk8NYdKUA\nyNE4qXB6MSzqtMjS5QnvvRrxBbvHrIA21T62tZsxNy2g95VfUbxoBXH/MJHudrRWG1p7BdHecyLR\nlmJ05VXEh13Eveky8lprKTpHFXGfB2kwvfmssVjROSqJDfSQDIfQWIoBAV15ZVZfQafL228muOIc\nF01FOSX33weKgizFSbo9uH7+K5K+HNVBVCrKnvoqusYGEkMuYi1nSA57kWMxtAWehBSKHMyxQ6Eo\n56t0jIOzS6LzVISGxYV/+SmKzEfN/zz6e0TyMuTPHxeblOO4g9k7za5A5iIuFvcxFMgsKuAOtvNx\n879kXAtJ57UT9rc/k3HvVN9bk5pnrDmuMTlspSJbbzWw9dbs5PKeziQ73o3y3hsR3ENXT1iAoFZT\n/Y1v5QxD8e74gFh3Z96+9jvvzboWdw3R99P/NZ0mXjXEurtHnRZIb9o4n/kF2lI7lU9+I0OFvnj9\ndRStWY/zhWeIdV7a+OzpJnT8KNaN55OqzUtX4Hn3LZQZ1v2aTpIBP57338bz/tuIOj1VX/8mGqtt\n9L6gUuF4+HH6fvLDz4UdkyUW8tBz8l3mrH0Ijc6E8+xufM4WdCYbDSvupWX3rwGF+Rsf58yeZ8Yc\nSxBVefVa8rHb+xJyAcrnuWgN7aM1lD7NMq9oAlEgeKCV8sduYPDZHSjxz89G15XO0Mdv47j9PmL9\naae3ZMMNRLrbCbU1Y111HQmvB5XBRKD5CPbrbyV4+hiSx0XJ+q0kw0GifenTPevKDRjr55L0e7Gt\n2Yx71wfnHBdy9nXv/jBvv2jv9D/nrzjH5eJyyGNhWr0SXWMDsbZ2XL9+LqNGvDALkyt7WmPUL8hc\nXF4FURWXFFEtUn1DAxUb6rDUpj9o2791/v1iri4CQSDcH0CRr/3j1jaoefIPLDz++xb2fBLjjRfD\nHDlw5R8/l972hZxOSyoSIXBo7Ap1Kkt2rpnUd/kV6q804h43g6++QMVDj2fsogsqEceXH6L/6Z9m\nODxXGtH2sxmOi6BSoa9vJNqe/zRvNiNLMfy7P8V+V6bjrikpnTHxxdlsx0SJ+J2cPfACWn0Rczc8\nihT2ojNZ0RlLmL/xqzM692SdlouJNPdQ/d170deXI6jEa07LFUD9H/wJKpMZ77k8sGDzMUrWbsaz\n9yPkuIRKd4HWWlxCZbhQV0kAFJzvvYqu1EHlnQ/S8+LPUOJxQmdOZBSv0CxaeVHRnfN9ax/8Rt5+\nM8EV57hMBI0jXQY1cvxklrCVpmJi4lOXgmf/Rx/P/o++MdtoHeU4/uMf4vrVc8Rar8wvyJnCWGFh\n/V/egKXeOnotEcxchK/8403YFtjZ839/gPvY2GJcnydEFVx/k57rb9LTcirB878IsueT2GxdI4yJ\ndcuNWFauyXnPt3P7uJofuSpGpSKTDOUU81dx+jwQ6+zA8+62rEWoqNfjePAx+p/+yWURj5wOYr3d\nJEMh1Gbz6LXitRuuWMcFIO7sz7omiEK65Hni0pWcngk7TGaRu+/PLYZ5MW+9EiYULDyHLR0alkBR\nZOKxIIlYCFGlIRp0EY8GaP3sORRFHtV3mWm0oh6NmF6wJuQYcbmwz1gqKtH7z6+jqysj2pb9N7jc\nlN3xRSzLVtH+g7/JulfxlccwNs2j79mfIQ1Mvfy6rryC6if/gI7/+f0xC7nMNsIdZyjdeDMAwVNH\nKLv5Hox1aa214f4eNMWZG3qaYislazeTkqTR8K/AmRM4br8PvSOtvTa0Y1vOuUb6jtUvV4XRqXJV\nOy4jGi2aEmvGdW1lBeZ1ay+HSdeYIdQGDRv/5haMFWYUBbzNLiIDQRzrqzPaDezpxrbATuWmumuO\nSx4WLNbwV39fQkdrkp/+m5+De66MExhBo6X09ruwLF+R8360u5PA4fFFtpRkclSHYQRRq52UTeYl\ny8dvdJUTPHoIdWkp1g2bMq5rSkoov/9hBn/7zBUVXjWKLBM8egjb9eeVpA1NczA0NhHtaL+Mhk0e\nQafPuiYn4pfUaZkpO1at1/L17xRWufPT7dEJOS4GSxl1y+9OL9IEAf9QG2FfehPS1X2Q+RsfP1cZ\nU+Ds/heoW34XenMZoqhCbymjv3k7UnRquXMaQUedcQkOXRM6MTNyQ5KjOKV2uiMnSCpjb9wIoki0\ntR9Bo0JJXIGfy2nCUN90uU2YEN4D53V+up/70ejPzrcztdZGSm+7d30w2mZox9sIKtWoZIGSTOB8\n6wLtNUXJKNl9cd+R0MZc/WaCq9pxiRw/SdGNWzBv3oRYXETK50dtt2NYvJDI0WOYVq3M6qOfPxdR\nr0fU69A2ppNL9U2NQLrUsixJxM60zdrj6s8rTfctwlhhJtTjZ9/ffkTYmc45+sIzD2a0Gz6VLhFt\nW5BdIvcamTTOU/P9fy7lDx910Xn20gtHFoogipgWLcV24815yxcnA35cr71c0Oc2GQpmxNcDaCur\n87TOj7qomJIbb51wv6sR744P0NpKMM5fmHHdUNdA6R134X7rjctk2dQI7NuT4bggCJTd8xX6f3Vl\n6tYY5mZrDiV9l/51zIQdq9ZlO0OFIGp0yImxN29C3l5Offy/c97z9BzF05MZOtNxKL/uzNn9z4/+\nXHvDA3hO7yMyOHaCtk40sKr4CxhUZhQUIqkAcSWGAGgEA0aVhXrDEsq1dRzyv5P3BEZtNVHxtdvo\n/afXcDx5C86fv/+5XesYGuZcbhOmjfFOjBQ5lTOvqhDttcn2mwpXteOS9Ppw/eIZim+9CcPCBQgq\nFUmXG++rvyN89DiGhQuz+pR99ZGs8A7DksUYlpwvq9r713+bV4V+NqGf20TxLTehcTiQ4xLRk814\n30gnzWsrHDi+8wc5Q87KnngUUa9n8Ce/GL2mrXBQfMdt6OprUVIpYi2t+N56l1QkcklfUz4qN9YC\ncPSHn406Lf8/e+8dHkd57u/fM7O9r3q1imXLvWLjho0LmN4x1UCAACGHlF8aKeebk56QfsgJJCEk\n9ACm22DANja4926rWL2s6u5K29v8/lhbsqxVX9ky+L4uLqzZd2ZejXbffZ/2eWLha43OV5MwArug\nj1D+74Vk3njJxUvPtOP3j5z3vahWo0rLIPm6G7uoO51J2O2h4bVXCPdT4cRfXdXNcNFkZqJOz8Bf\n37/0CYXZQuqtdyAZ+pea8rlHlml89y3SV97XraGnceoMgs3NOHduO0eTGzyx0twkg56Mex6k4c1X\nB1UbpU5NQz95Gr6KMjyl/WtCKChVJF93A+3790Wlvgch1a3OzMJ80Zxux93FRf2+xkiZRyxmXHz2\nu4yfLfL1M9BKBmp9xVR4DnQzTFSihjzdNDI0Yxitn8Gx9q0xr6MtyKB17cmotD+EqFIQ8Y9cp1V/\nUFqsGCZMRZc/BqXZiqBSE3G346ksw751I6H2to6xhvGTME6ZiSYlrSPql/eNH3a5nmP7Zlo3d20g\nqssfS9pNd2B74yV8tVVkf+m/EHV6Iu522o8e6jYeQGE0Y527EF3emI6x7tIi7Ns2EfZ231fp8gqw\nzl2EKjkNORTEU15K62frkCPnTxpbvBjRhsukKUpuv0NHwC9z+HCQN1fZaHr+pQFdw19dQ+O/XuDq\nazT4AzLrPur0nNT+8olu4y8+8nuWLFPz6EP98+649x/Evf9gzNfqfvOHfl3jlhXaAd2zP6jz80he\neSeufftxfLQeSa/DtGxJ1CiLRAjYGgg2NKCbOqmL4SLqtKhH5+N4v1OyVGG1kvzgvfgrqmh68T+I\nahXmy5eReOcKGp/5d9zmPBT0aSYiwQitx3tvuhloi/79lcbP75dYvJEUsOJeAwuXaXnifxwcPXD2\nUsf0k6eizsyK/iAICJICUaNFYTahMEaFFnoj6LDT8OpLAyoC95QUYZjcPd0s5aYVNLz6EoHmnt9j\ngiRhmDQV6+JlSNoLxvHpyMEAja+/Qvp9X+5maCYsuYxga0u/N+ojCXfxMfRjx3c5Jhn0ZKz8Eu6S\n47Tt2YW/prpnr6cgoDCZUaelo8nJwzRzFhC7zqMnBEFAP3Y8+rHjCblceEuL8JSdwFdR1mfTT0mr\nxThjFpb5CxGkrjUYcjiC+9D+Hs4cufM4k7QMBelZ8asvsY6diSVvUlTopaGSxn2fRO9z0WUoDRaU\nBisKjZb6HR/QXl3cZXz52n+jS84iacolEAkjaQwE3U5qPn0TkEmZdin6zAJCbicKraH3iZwkQZmJ\nM9RMsWtHzNcDER9Fru3oFVYSlFk9XsdX3kDyLQtQWvWIRu15b7QAmGfOxTR9FoFGG56KUuRAAE12\nLsbJ09Fm51L97792fDbDXg/eihN4K05gmTkXUaejdcsnXQxwXy/OCIXRRPqt9+ApLwFBQJM5CkHZ\nfZutSkwm47b7ELVaPJVlhE/YUaakYZoxG21eAXUv/7OL8aIvGE/q9bcih8J4So8T9vnQ5uSRcfv9\ncXxS5w8j2nBJSBDZvy/Am6u8/OQXZg4dDOL3Q+E4iZqqCMeOBSkYo6C6KozfL5OYKKJUCdjqwxgM\nAjNnqWhvlzmwPxq20ukEFi1WU1EeprIi+kZdvFTN3j1BnI7oG3PVa17mX9J1U5uZJTG2UNFlXP5o\nBXn5Ej4fnCgJYbOFmTNXzfbT6gHOnEMkHDXGUlJEDh0M0dgQ7vGeQ8Wy9FL81TXY3+7s5xJqbkE3\nvhDPkWhPFM/+QxgXX4KgVHbkDutORpY8h450nGdcNB85EKDlP6s6PuARj4eUB78U1zkPmYgMfQQE\nFNroWz7kvqBPP1DSMiV+93Qir/zLxcvPtjEMNXfdUKemoU5NG9S57mNHaP7gvQF3a3cXHyfQ3Igq\nqauAh8JkJuP+h3EfO4q34gRBhx1CIUSNBslgQpOdjXb02C7F2gDe6kq02TmD+h0+b4Ta22l8/WXS\n7r6/qwiCIJB8w83UP/8vAo3nV+1Z07tvId1mQJOd3fWF0zbxcjhMoLmJiMdDJOBDkJQIahWSRovS\nmtCtpmooKAwGjNNmRgUqZBlPaTFBu52I34fs94MoIiiVKMxmlEkpaNIyujTSPB3Hlk8J2lvjMo+g\n00GwqbHbXJRJScM6D4hvtEVtsmLJn0z52ucAmdzL70GblImv1YYhq5DSt/+CpNaQe/m9tFcXdxuv\nTYqmnWqsqZS89RfkcIi8K7+E2pIMcgRD5hjK3n8GAYGCGx7t15wkQYEr1PfzaQ+1YFR3V1s8RbCl\njeY3tqAbl4Xtn5+DfkuAY/untO3bSaC1s7WCIEmkr7gXTWY2+tFjcRUdBcBbUYa3IlqfZpw4DVGn\nw7lra7+L8xMWLMVdepymjzpTXwVl9/rIlKtuRNRqsb35Mp7yTsexdd5irPMWkrBwGU0fvttxPGnZ\nVSBD3av/xm87KeAkiqTdcDu6/DHRvc8XiBFtuJwiEoFgQCYUhG9+28ALz3lITRc5dgxy8yQKCxWs\nWe3j7nt1vPuWD61W4Ne/M/PG617S00X2n4x8Ll6m4aXnPXz3cQPf/ZaTjEwJt0vmh//PxI9/5MTr\n6f7HHzNWwV336Hn/PW/HOItZ5OFHDfznJQ8PP6rje9+Khhqdzk6rPNYcVCqBvDyJ5maZX/7GxIP3\n2YfleQmShCorE+f6T7ocD9ga0M+6qMNwcR88jPnypWgLx+A5HP3g6qZMxFdSSsTbqaKkycvDV1bR\n5cMbqK0fUbmvnoZ2jDkWTLkW2ip6jlwlTIhuRturzr/885GAKMFdDxqYOlPFz79vx9E68oo3/Y02\n7Bs+HnyBtCzTvOY90u++r5vnNxpRmYxh0uR+Xar9wF5CDvsFw+U0/DYbTe+8QerNt3WJmIlKFam3\n3k7dv5/pd1rfSEAOBrG9+iIpN9yCrmBMzDGCJA3aAB8SghCzmWp/cB0+iHPbZ30P7Oc8lBZrtxTM\nszWP6bMHJ64RC5U5BZUxgdzLV3YcExUq5EgYt62cUYtXANBybEfM8U0HP0MOB/G11ncoLoW8biSl\nCkmtw+9oBFlGRo7+ux+4wg60Ut/RGY2oxx3u/bsv1ObGW9FAZARLIed/+8f9Hhtyu+CM9UQOh3Ed\n2Y8mMxtFQlL8JiYItGz6qOu9zqj30GTlokpNx1NyrIvRAuDYtQXLrHkYxk2med2aDtESyWDAU3q8\n02gBiESwb90YNVy+YIx4w2X5VRomTFRyYH+Q8vIQ9tYIc+aqeP3V6MZ60ycBfvYrE2vX+sjMUlBe\nHmL2xSq2bQnwyfquntZ1a33s3hlg9sUqUlIlLlmk5tl/uMnNl5g2TcW2rd09s5csUvPG6x4OHQh2\njKutDeNqi2CrD+Nxdxosx452hlUnT1F2m0MwKBMKwfjxCgwGAUmC4RDTEdVqEEUiMSRcRX1n+kq4\nrQ1/eTm6qZPxHD6KZDKhzsmh+dVVXc/RadFPnYJ+6shVSGrYWYMxx8LE+y9ix88+IRJDDUVSKxi7\nIrrhrN96oS/HUJg0XcWTzyXz8++1UnT03EevIn4/ntIS2g/sxVc59IZX/roaGt9eRfJ1N8WUR+4T\nWca+dTOOTzegTkvHumjpkOf0ecJTUkTrho9JWHp5l+MKk5mUm2/H9vK/zysJUjkYoGHVK5hnzcGy\ncPHg3jNdLij3Kdt9xglDu9/pVwpHcGzbjGPzxkE4p0bKPDoRRZg6M34Rl4CzkYDbSeXHL3ZIHEcV\nw0Ch0dOwdwN+Z3OP4xEEdEmZMfuIBVx21JaUDoNeZerfprrSc5DJpktJVGXSEojdUiFRnUWiKpOj\n7T0bgQqLgYyHrsBf3YRkMVD3VGwZ3HONp7R7vZMmPQtR3/+awpArasyIUvx6+vlstX1G+LWjok4s\nX013wQU5GCDU7kSZkIjSmkigudNwjZWi5m+0IYcjCH2kTH/eGPGGy4fv+1j1WucG/Kc/biN/tIKf\n/8rEww/YCQZlKsrDrLhNx9Yt0TeMzw8GY/f+Cf5A50IhCOB2R382GEQ8ntgWhNstY9CLXcZVVYYQ\nRFiwSMWvfxm7EDzWHK68WoNOL/DPf7iZNkMZ7d8zDET8fuRIBFGv6/6au6sx4z5wGOt1VyNqNOgm\njY+qphV17WYf8XrxlZbRvmkzI5UT7xxj1PIxJE1N49I/X035mmLsxU3RdI0ME5YxiYy5eSLGHAse\nm4uqdedvr4WRQnKqyG//lsiv/9vO1o1npxeHHI4gh4NEfD5Cbe2EnA7a9+/BX1sdd0ldT/Fx6v/1\ndxKuuBrtqNx+n+dvtNG67qMOA8rfYCPs9iDF+Dx+kXHu3IYiIRHT9K49dzSZmSRdfT1N77xxjmY2\nSGQZ585tuI8dxjR7Hsap06NOpAHi2LoZ14G90VTEfhIJBKh7/p+YZs5GXzgOQTHwzZgcCuIuKsKx\neeOgG4OOlHmcTkGhCpNl8P2U8q64r0OMp2bja/jb7NiL9pB7+UpkWUYQBCrXvxKtwRMEMuZcHT2u\nVFH32Vv421q6jK/a8J8e7+V3NOGuLyP/qgcItDsIuPr3HghGvDQHaphiWoIz1ER7sIWQ7AcElKIG\noyIRkyIRZ6gJtagnVzeZMzcgFZ6DaPPTaFmzC/eRSlLvuHTESiLb3u7+DE/1cemGKGIonIh+dCGq\npBQkrQ5BqYpZezJUwm3OPscoDCYAEhYvJ2Hx8h7Hiaqua0fY7e4+KBJB9vsQNAOrpxQk6fyUoD/J\niDdczuR7PzDidslUVXY+9Hfe9PKP56zcflN0kTt0IMD112t4/EcmRBH++LvYxsX77/n4xreM6PQC\nBw+4yciQuO5GLTk5Eg8/auDVVzy8/56P7/7AyMVzVR3jFAooHKdAlATychX85UkXRqPIjTdrkWV4\n4zVPzDnU1Ua49wEdqSkSGm100Yh1T4d94EospyOHwwQqK9GOHUPbacaGKi0Vf0VFl7HeI8ewXnMl\n2vGFUZnow0e7eTr9ZRWosjIINDSMqPSw0wm0+9nx0w1c/D1lPkUAACAASURBVP+WoM80Memhzj49\nS566ruPffruPXb/YSNh/9ry5a9/xUFM5sPtptAIqtYBaI6JWg1ojoDcIpKQpSEkT0elHRmNDlVrg\nR79K4C9POHn/rRgLaz+JBPyU/6p7U7FzTaClGdtLz6FOS0dXOAF1VhZKawKSVosgKoiEg4Q9HkL2\nVvx1dXhKi7srSckyVf/72yHPxVteds6fUcPrL8f1ei1rV9OydnWvYyY9MIMxN3QqQFZv+pjdv4ut\nijRQ5Egk7s801N5O6/oPsW9ajzZvNJpRuajS0lBarEg6HYKkQA6HiQQCUQPcYSfQ2kKwsQFvRdmg\nZZT9tTU01dbQLEmoMjLRZo9CYU1Ek52DqFIjqBSIkhJZlon4/UQCJ+/d2IC/rhbviVIigaELb/Q0\nD4XFgsJo7jaXULtzWOZxiulDrG858V53mWPHif04TnQVC0icMBdXfRmtx3cBkDpjKdrkbPxtLd3G\ne5pq8Gx8rePn6tP+3bC3uwJVX8y0XNXxb7MiGbMittx/b69VeA7iq2wkecUlKFPMKFPMGKbmI4fC\nuPafp32JJIm0W+5Gm51LsKUZ94kiQs5ojZUqOQ3LxQviej+5Pyp6J6MjnhPFBO09G+Zh95n71th7\nr37d8wzG3v4tnCcOYi/ah9/eMODzzzUj2nD5dGP3xev3T7SjVAp4vZ1/xIgM2zYHcLmix2QZfvaT\nNtRqgUBARpZhzepOj/Bfn+zMd3zqL64Oide6ujBP/5+Lp/+vaz7kf3/fiVotdIy750t6fvY/7Rw/\nFuSWFVqmTVOxdYu/23lnzmHf3gBHDgcJheQOkYqe7tkXqoz0bscCNbUdtSnOdRtJvv8eEm64FveB\nQ0g6LabLltLwv3/tck7E78d7vBjd5Imos7NxrtvY7bptGz8j9dEvk3TnCly79iD7fEhmM5rCMbSu\nentA8x5OHCUtbPzaagpvm0LmpbkotJ3evrAvRM2mcopeOYjfPsgu6INk8ydedsdIQxwKeoNISrpE\nappEwTglhRNVjJ2gxDwEz+JgESX42vfN6PQCq14cvtqErJvuI+zzUP/+a30PHgDpV60g7HbRuOn9\nHsf4bfX4bfVn7X5nC1EpseTJK9Gn6gl5QjTur+foCwdx20ZOjUnJG0ep21KFNknP7O/NP9fT6Tdy\nKISnpAhPydBkfAGUOiXL/3U9Sl20VuPT762j5Wjs+gc5HMZfXYW/uvfeH8PNSJlHPOtbesNVW0zG\nnGswZhaAIBL2e2k6dHayFHqSNx4wERnPoWik2LWnBEmjJBIcGU6ywWCcNA1tdi7eijLq33ypizqY\nUTo3299Qe9Qg8VWW49i7vd/nSboYaXCCgDjAaAuAqNZinXAx1gkX42uqw1Gyl7ayw4Tj6DAYTka0\n4RKLUAhCoU6jZdnlahYv0fCXP3f/ou1Pz4n+9qU4fdy+PUGuu0HDkmVqNFqBNe/1/CV/5vUDgfhE\nLMzLFnc71vjs8/jLK6L3raqm6bmXsCxbQvI9dxIJBPAeOx7TOnfvP0jyyjsIORz4K7t/yYQcDhr/\n9k9My5aQeMtNCEoF4fZ2fCeGXksQb/x2Lwef3sGhv+/ElGNBbdUScPpoq3QQCQ0tkjWScLsilJdE\nKC8Jsv2zTqM8LVPBvY8YmT1fjd5wdr9wHvyaiUgE3nx5cJte3ajRWKfPRZ2SiahQEna34a4+QfOW\ndXH1wHZDEOISNpc0OhR6I/6WPjxYcbrfUBFEgbk/XoQcjFC2pgS1RUPm/GxSZmSw6dsf4apt6/si\nZwG/w4ff4UNl6P98Cq4fh6fJQ93WwW+azbkWljx5FU0HG9j8w04v+KLfXk7CuCQ2PPY+zl6EQM5E\nZVATCYUJ+QYe7Q16gqy+bRW6FD3L/3n9gM//oqJWC0yYcnYMF7+zhfIPnzsr9zoTm/9EXK4TtLfj\n2Hw0LtcaCaiSUgFwFx3p1lNIldy7WIYcitYsC5IU13o7X00FsBBNTh4MwHDRZGbD7q69rtRJKQgK\nacCqYrZt72MZPRVNSiaa5AzSkjNInb2ctopjOIr34bFVDOh6Z5vzznA5k3Uf+bv0Zjkb7NsbYN/e\nc1OQHGhopPq/f9qvsf7yChr+8Wyf43zFJX1eM9jSSssZRfsjGTki4yy3Q/nwKLeNVGy1IX7z33aU\nSoFps1TMX6xl7iLNWYvEPPQNE4GAzOpVA0sbs0yfS/KCy/HWVtKy+SPCAR+qhBRUSSnDa7QA9Wte\n7XtQPzCOm4LKmkTjJ72nPsXrfkMlZ1k+KVPTePv6VzoKhSvWprDgF0uZ9uisLpv18428Kwuo+Gjo\nm7lAewDzaGu0HECOGnvmfAvhQeT9T3lkJrVbqqjfVjPo+cQq6D4fMCuTydKOJyKHaQs2U+vrOQpV\noJ9JqXtPt+P5+hk0+Sto74fs7ykmzVChUg2+mHT5cg0bN/rx+2W++qiB40VB1q8f+Hp01506rrlG\nw/oNfp55ZvAptcONJi8NZYKRhCtm4LfZsf3zo75PGsGEXFFnh8LcVc1OnZqGaepFsU7pPNdhR5WS\nhiYzB09Z/PpLeavK8dvq0I0ei3HCFNqPdu0DKKrVKM1W/KfJwkfcbrSjx6FOy+xQFhMkCeu8RYOa\ng/3YLuzHdqE2J2IePQ1TwWSUBjPmgimYC6YQbGvFUbwPZ+kBgp6eG3qfK857w+UCF7hAd4JBmV1b\n/eza6uevvxVYcqWWG+80kJM3/B/5R79tprUpzNZN/SvYVyenkTz/MtqLDmP7KNqEDYATx4ZvksOA\nLns0IVffxZkjhZzLRgNdN8PNhxup31FDxtxsDBkmXHUjI+oyEHSpBgyZprhcK9DmQ6FVYkgz4qpv\nx5RjJugKdhRr9xdBFEiZmkbtlnObNnWuUIlaHIFG6nxFjDdegjPUiCtkx6CwoJGMtPhrkYmQoMqg\nOdDVsNMrLGglQ5dScrWkx6RIoi3YiD/Sc+rvjNmaIc/9lpu1vPRy907mA+Gllz34AzKWs+BAkgQl\nJmUiakEPyPhlD+3BVkJy385WVaqFkNON7bn1mOeNR1Qrz+smlO6iw1gvXoh51jwURiPBNicqayK6\nsRNwHz2IYVL3RsOncB7YjW7seFKvuQV38VEiAT+iRoO75DjukqF9NzWuXkX6rfeSfNWNmKbPJtDU\ngCCKSEYzmoxs3MVHaPygMw2/af0aUq+9lYzb7sNTepxIKBhtbimJ0Z5jCbHrlvrC72yhce96Gvdu\nQJ+ei7lgKqac8ShNCSRftJTkmUtw1ZTiKN6Hq7poUPU0w8EFw+UCF/icEwjIrH3Hw4fverhorppb\nVhqZOnP40idEEb73Myvfe7SF44f7/rK0TJmNHInQvPVj+pJTlcMREi66BPPkWYhqDYGWJqpf/0eX\nMaMfepz6D15FabBgvegSFEYzoXYHte++QPC0wufclV/r6CvRXnIE29ruEUVdVh4JcxajTohKlIba\nHTiPH8CxtzOnPP3q29Bm5CCdzDU2T+pUySr9v591LPb9uZ9Cq8c6cwH63DEojGbCfh/eukqaP/uQ\n0Mlizayb7sNTdQJZlrFMmYWo1hJoaaJ584d46/u3MRaVItaxCbTXdDe0GvfVkzE3m+QpKV0MF2OW\nmTG3TCBlaipqi4aQP4S3wU3l+nJOvHt8QOMmrJxK4YqJMdOtFj5xGcYsM2vuHFiEd+wt48m+NA9j\ndtRomfSl6Uz60vSO14teO8LRFw4M6JpKnYrW4mYsBQm46tuxFiTQWtRM0uTUjjFZi3IpXDERQ4YB\nT6Obio9OUPrW8Q6DcOFvlmHOt6LQKJnzg4Ux52PIMDHuzkkkTUohEopQ+WEpRa9/flJ2ThHtThJG\nPvk5n2BYSJX3MKc+9yE5wGjdDPY5o55+nWQmXzedWl8RCcpMGv0VaCQD+brp1PtLKDTO42jbZz1u\nyqfPHroM8hVXanh9VadxNHmykpUr9Xz3u9H37RNPWHjhBTeHDgWZOVPFI4/oCYdBqxH4yqN2PDH6\nwwHcfJOWyy/XIEqwd0+Qp56Optj+8AcmRo2S0GoFtm0LdBz/858s7NodYOpUFclJAl/9L0eHMiqA\nKEjk66aRoSlEErr2n4rIEer9pZS59xKSezZE/BUNpNy1mOrfv4moVSOHzn1K61AIOhzUvf48CZcs\nQV9QCKJEoKWZ5rVv037sELqCnnsceSvLaHjnNSwXL0A/ZjyIIiFXG+6S4z2e0/952al94W+YZ81D\nP2Y8hglTIRwi5HbhOnqAtkP7uox3Fx/D9tZ/sM5diG7MeORQAE95Ka2bPsY6d9GgDZdOZNz15bjr\ny6nfuhrjqLEYc8ajz8jHkD0GQ/YYwl43ztL92I/vJtB+bvvgXTBcemH6TbkcX1+H13nu+1RcoHck\nlRRVywmODI/ASESW6YjCzFuk4aH/z0xautT3iYNArRH4798k8NWVTX02qdSm5+Ctr+oI6/eGPqcA\npclC48bVyMEgiXMWI6rV3bTzzVPmICoUNG1eS8TvR5OeTfAMqcqKF55EUqvJvH4lsVDoDGRcexfO\nI3to3vwxokKBOiUd2dvVw9v86VoQBDKvW4mvsY6W7Z0pVqd7qPq6H0AkHEIyGGnds5mAowWVJYGk\nBVeQsvha6lZ3KnpZps8l6GilceOajueQfs3tVDz/5z77CADokg0IooirpnsagLs+ulEyZHVGLZIn\npzLnx4sQJYHqjZW0VztRaBQkTU5BVHZNxbn0T8v7NS7etBxpxl3vxphlYvzdU6jaUI5tZ2dPi/aa\ngUePBJWIvbgFy5hEaj6rxDImkdaiZlKmd+bHT/vqLA78dRf24lYMWUZmPHYxoiRS9NoRALb+eCOS\nSuKql25m12+3dswpclqdU9AbwNvsZfdvt6JPMzD9axfjLHNg21M32McxIKw3L8a94wiBmv41PBwM\nqZp8TMpEnMFG3KHoxieID5u/U7GqLdhMhM7nYlWmY/OfoDVQR6Iy2nE+SZmFQlSRrBqFUlBjUCbg\nCNg4E4tVIq9g6FuctR/4uOEGTZ+CmpIEP/kfE/c/YKexsfc1LytLYvkVGh5+2I4sw9NPWZg4QcmR\no0Ge+G07waCMJMHq95J4+m+ujnv7/TLf+U73TaMoSEwzL8OsSMEf8dIcaCBwMhKlEnVYlClkasZi\nUiSxz/khYTl2zYbfZu/o3dL6/i7k8Mj6Pm368N0uHeVPx/ZmbMVDf30N9a893+345MWPcfTpPxEO\n9bxeukuO9Su64ikrpux3neqEEy55CLvtGPUlXXvmWNIK0RiSsJVuIezz0vrZelo/619KrqesOGbK\nWtPHq2n6uPf05IEgh0ME3W2EvS5CXheSJirjL2n1JEyeT8LEediLdtO4ez2R4Lkp5r9guPTCwkfH\nseDhsZRva+boRzVU7GgiEj4/c4w/71z1+h20VdjZ9PXeG2aprVqWPn0Dtl3V7P3dyO1LM9xs3eRj\nz3Y/t91n5JaV+iHlgfdEYrLIj35l5XtfbSbcS22jZDDira/s1zUFSaLuvZcJ+6KpG+FNXjTJGXhq\nugpFqK1JVL78fx2Gg7cu1vVlwn4fciT2JkNhTkBQSLQd2dtRcH/mfQCC7VGDSJbDRIJ+gm09eaN6\nvx9EZaFPj8T46qtRWpKwTJ7VZZyoUHZ7DqNufzjms4j5u2mjS3/A3d37GnBHHTWnFKwESWT61y9G\nEAU2fvPDXgvSBUns17jhoOVYEwCJE1IYD7RVOoacmiUIYC9uYeyKiQBYChKo3ljJ6T0wylaXUL2x\nAgBXXRvla0vJu3JMh+ES8oU6oi/hYIiQr/sz99t9HPl31MvafKSR0dcVYh5tPWuGi2nZLEzLZhGo\nbcK9/QjuXUcJO+OrLNfgK6PW19VbHZF73+BH5BDSyW2KKET/H5JDNPrKuxg8sZg+W0U8+vKtesPL\nM89Y2bEjtgNTOpn9lZws4XRG+jRaAPLzFYzKlnjqr5aOYzq9gFot8O1vG9HpoiqmBoOIJEVFiQD2\n74+9kGZrJ2BWpFDhOUSF5yAyXQ0OAZFc3WRydVMYpZ1IuafnyKMcltGOzcRbEruR5QX6prlqD5Kq\ne98uh60IGLrK4HAgqbWYC6ZiLZyJytLZ+NTXWIv9+C5kWcZaOANtWg7W8bPQpY6i8v1/nRMlsguG\nSy+s/p99TFieSd68ZEYvSMHjCFC0ro6jH9bSXH7uC5bUWpGMfA0JqSosSQr0ZgUqNSjVIqI0cjup\nvvTEuVsQA04folrCOqZ/HYk/z/j9Ms//rY0Naz386NcJ5I6O/3IwabqK+75i5p9P9l77EQn2L4/a\n11TfsVkHCLU5UOV2D5O7q0qHnI/rb6wjaG8l44aVOPZvp/34gY50rbNJyGlHVKsRRLHjd4r1HAAk\nvWHI9+vownzSzWsdm4g+1UD5ByV9GiPWsYlUrSs760bLcGIvacWcb0VUihiyTDhOdC0OL7x1AoW3\nTuh2nqgQ+61kqNAoKbixkPTZWejSDCh1Smy7z47RAtDywgfoZ45HXZiD9eZLsd64CN/xClzbj+A5\nUIIcGP46B7WkJ1NTiE48lR52nOZANRNMCzAorGil6Hu7KVDBOOM8TMokJEFBkWtHTAMoHmliEF0n\nP/7Yx003ajl2LIjHLZNgjX5GFAooGBNdN5ubw1gsIkmJIs0t0b+7IMRufVZWFsJmC/PV/3IQDkev\nE4nA3LlqzCaR737PgdkssvzyrjU6PYkzpKrycIZaKPfsj/m6TIRyzwGsqgxS1Hk9Gi6SQUP6A8vx\nlTdgXjAR27Pnd3H+QEkfcwnm5HwAHLYSbGVbMViySCuYjyxHUKkN+L1Oyva9Bcgk58wgIWMigiDS\n3lJJbdHGHq+dkjuLxKyptLeUU3MsGmXp77WPb42q1aUXLMCUnIeAgN9jp/zAe70e7w+61FFYCmdi\nzpsYDRsSVVRzlh3GfmwnvpbOaKbzxEF0ablkXnoz6oRUkmcswbb9gwE84fgw4g0X6y2LcW8f3hB2\nT5zY3MCJzV2lTVMLzUy6KouChWnoE9VEQhHKtjZx9MMaync29ZWiPyjyJupYemsS0xYZUajOX031\nU5xLwwWidRLalBia6F9QaipDPHJH9PN14x0GHnzMRDwl7m9dqWfRZVq+cmcjblcMOe7yYoyFk2ne\n8lGfMsFhT3cvsBDDrRr2Dl25Rw6HqHjxyeg9RAnj2Ikkzr+cQGsjtW91Tz2IBymLrsIwdjLNn63F\nW1dJyO0ilts41nOA2M8iFm2VDuRIhITChG6vWUZH63DsJdHmaMaM6IbR2Q+FPmOGoV/jekNUjKw1\nLugO0LCrjnk/XUzVurJuzWtrPqtg1xO999GQIzLIIIqxf7erXrqRw/86wCffXIuolLjqxRvjNv/+\n4Np6CNfWQ12OKSxGdBeNJ/Ubt6POTQcBQq1tND75GkFb/5W9AJr8sSNfB5ydaTL+sJsy917K3Ht7\nHHOKI22f9nq/7Fwll1/b3eM9UD78MCow8vzzHp5/vtNR8OCXo+/xUAiuv7654/jV1zR3Of90o2XV\naXUyNTVh7vtS5+fkVERlyxY/W7ZEPdhOZ4T5Czr3PV//Rs/OAKWowRXsu8+UL+xCpzT2+Lqk0xD2\nBfFVNGDKTOzzep8nkkfNQBQVHUZCZuFikkfNwNvWCMic2PM6AKNn3oLBkolCrSOjYCE+dzOyHMZg\nzcKUlEdbc+yId2PFLsJBP1rTmY62vq996rr2hiI0+gRUOgt2W2f0sqfjPTHunh8iKE5+yUdk2quL\nqPr4Zdx1fTca9dgqKPnPHxh/74+wjpt1wXCJhXnZLMzLZhGobcS97QjOdbvO6XwaipyE/GECvjAT\nr8hCZ1VRsDCVgoWptFa5eOH++KYfPfb7PCbOGboX9QJRkqelIypEfC1ntwnl+cJbr7hotIX4wS8S\n4mq8pKSJfOlRE395ovuXb9uxvRjHTiRh9qW0bBuZErxyJEzb8YOIGh1Jc5fGHBMJBBEVypiv9Rd9\nXiGuksO0He/0iKr76DcwGCKhCPbiFhIKu0erUqZHm9s2HYxumty2qBFoGmXu87pum5vMBdl93/+k\nnLCg7L6R1w3VqTBAxa/+0FrUwtRLZ1LxQXeJ5cz5ObTf3kbdthoEAYw5FkRJoGpD5wYmEorgqm8j\ne0luNBolQ8gXxNcaXYfcNjepM9Ko21rFlC/PQJBiGzinjLqzEVEPOdppW7eTtnU7USZZMF05D/3s\nCWT8+EH8pbU4P96B92DpsM9jMMw4S00nRwrOUCNJqmy0kglvOHYtl04ykaTKpiXYs+Mw0Oig9YNd\n6MZl0/DcuuGa7ojE29aINX08p9JA9ZZMnI0lAMhyd4eb19VEwNtG8Y6XkeUIgijFHNcX/bn2KeeV\n391K+YF3Uai0TFr4FfY3/KHX4z0hKBSEPC4cxXtxFO0h6B5o/Z98MjX63CjOjXjDpfn5D9BfNA5N\nYQ7WWxajGZ+La8dhPPtLz0r4+hSSUmTMwjQmX5tNxiQrkWCE4k02DrxdRcAbYuyiNCZfk03BJWmU\nfta9UHAwXHZH8gWjpQcyFuSiS+u6wVGbtRTcMjHmeAEBXZqBrEV5ADQfiE8X9JFM5hgdCWkqlDGi\ndHvX9+wx3fKJj1/9qJXv/zy+xstVN+lY976nm9KYp6qMtiN7SbhoAaqEJNwnjhHxB1CYzIhqLa07\nN8ZvEqchiBKiSo0gSgiSEkmjIxLwd9SgGPLHo0nLwltfRdjrQqEzYZ44E09t7HocX0MNxsIpGPLH\nE3Q7kVQaPNVl/b4fQMDZgi4rD01aFnIohD53DPrR44fl96/8uIyEcckIotCRgpI4IYX0i7NoPNDQ\noSjWWtSMt8XDqMtGc2J1Sa+NKVuLmpn7k0v7HOduiBpDSRNTcJR0vhfT52ShNmsItA9eECXQHvVY\n65KH7nE/xanoU2tRc7fXtv98E4W3TWLsiolEQhHcte0xFcH2/mkHUx+5iCVPXkmgzc+xFw5QuT5q\n3Oz983amPTqL5f+8jsPP7u8waE4x9eGLyFk+GkkZTeVY8MulRMIRWo818dn3h8/YV4/OwjBnEroZ\nYxF1GuRQBM+e42injCHlKzfh2VdC83OrkUeYZO60OKWJnS9Ueg6RZMlipvlKanzHsAdt+CPRCJFG\n1GFVppGpja4jFb3UtwiSSKCmGX9V01mZ97mmcO49yDKU7Xkdl6OG9pYKxs27BxBwNpbgstdgsGTF\nPNfvttNUtYexc+6Gk8ZFyc7/IAgiSTkzEQUJrSGZ2uMbCPjayJ12HRp9MgqlGpXWTF3xph7ndea1\nS3a9SiQSYtyce4jIIQQEGip3RwcLQuzjvVD3ySraKo/3Wm/ZG4Io4W2sIdB+bvrkCfJABemHiczM\nzF5fl4w69DMKSbh9GQgCEa8fz75iXDuO4CuuHhYvG4A5Tcuka7KZeGUWWrMKV7OPQ6urOby6Bo+j\na1GSWq/g1j9fzIsPbhnSPRVKgXu+n8Xs5Za+B5+HPDL/UN+D+mDW9xeRNqdvz24sAm1+PvvOB3hs\nfRefPvdOKqlDVN760Tda2L317Baw3fOTfKZdasHRGCQUQ2ntl3ce6fMalyzV8vjPrHE1Xk4Uh/jq\n3bHSPgXME2dgnjQTpTUJQRAIudppLz5Iy46NQFQGOOzzUP/+ax1nSWoN+ryxtB3vbOI1+qHHse/b\nSuuuntNJTjW8jEXJk1F1GE1aJknzLkOVmIKoUhP2uPBUltK8dX2X+pKOuWi0JF96Nbrs0QiCQMDe\n0iHV3Nv9Gje8h/NIND1GZUkkefHVaFKzkMNhPOXF2PduYdRdX+mQVu7pOeQ/9D0aPn6ry7PoDUEU\nmPfTxaiNahoPNqCxasicn03IG2bTdz7qYnikzkhnzn8vJBKWqfmkgvbadhRaCXOuhaA3zN4/dXZ0\nvv6t2/ocpzKoWPb0NSj1SirWluJu8GAaZSZjfja+Vg9qs7ZDDtmcZ0GpU6FJ0DLru/NpPtxI8etH\nCHqCBNoD3QwkQRRY9ter0aXqObG6BE+DC6VOSWtRC00H4uNU+jwjWQwYLp6Efu5klKnRtMFgfSuu\nrQdxbz9E2OVFMuqwXL8Iw/zJtK3fjX3VhnM8604kBbz+cRo6/eBTDu+/uZG66vh1Sz8bJKtHMc4w\nD4UQO+obiPg56voMe6Bnp51h+mgkrQrn1r6VtG6528CDXxtav6RvPdTCkf3nRpnqAmef2tr4lAmc\nN4bLKRRWI/qZ49DOLESTmx7trdDahmvHEdw7jgw497Y3rv/FDHJmRT2StYfsHHi7khObG3pVFvuv\n9y/jL1d9POh7ipLAw7/IYeolPeehnu/Ew3BBAHOuleQZGaRMTydxchqRUARvYw/GiBxVUHIUN3Hi\n7WN4m/pXA3G+Gi6//mg6f/tWCeWHhqYMdPVNeh57vO8UoYFwxeyzV3R8gd6RVBJL/vdKdKl6Qp4Q\nDfvqOfbiQdwxjHpLnoUxt04geVIaKrOKoCeEu76dstXFXdKi+jvOnGth4n3TsI5JRNJIOE7YOfLv\nA6TNziT38tEdhsuN793Z4/z9Dh/vr3yz23FjlonJ98/AOi4JhVaBz+7lyHMHqNlUMYSn9flFUCrQ\nTi7AMG8S2vF5IArI/iDuvUW4thzEf6Im5nlp374LyWqk9odPn+UZ98yEqWr+8I+h1Wecj4YLgErU\nkKbOx6xMQy1qkQF/xI0j0ECDv4yg3Pv3kDorCd24bOzr9vU6Di4YLhcYOPEyXEZ8qtiZhOztONft\nwrluF8pkC+Yr56KfPQHLlXOxXDkXX2kNbR/vxHNg6Lm3WdMSObK2hgNvVfVbRczvGtpit+Lr6Z9r\noyVuyNFiYWe5ndI3j3DVf27HbWvvUw75i8KGl2xctDyRgC+C2xEicoYaTVtL/1I71rzpjrvholIL\nBPyD95dYFy7FsWVjl0J+hcGINm807Ydiq+pcIDbhQJiPH+lfDwBHuaPPIvSBjHNWONj6Pxu7HW85\n2tghDQzw1rWx+zP0RntNG1t/2v3aF4hN1q8eRdRHLgWK/wAAIABJREFUFaz8lTbcWw7i3nWMiK/3\nTaW/qgHjqPjXYA2FGV+wNLHTCUR8VHmPgnfwzUstS6ZgmBpNqa7+fXenwAUucK457wwXAPXoTAxz\nJ6GfMRZRp0UOhXHviSop6KYUnMy9Labp32uGlHv7zG0b8bsGdv7zQyjOn7rAxKU3f7GUPOKCHN0E\nKTTD00xxuMlIv4im5qMEg93TjwaLzx1h6d2JzLs+tuzzNy/Z0+9rVZSGyI1DI7dTXHernlUvDj4S\nZJm7AOf2zV0MF0GpwrpwyQXDJY4odAby7v46/tYGBFGi/cQxWvf0ruYUC8vUOZgLp8Y835BXiMqa\nTOveruumLjMPT23f/WguECcEaN+4F9fmgwRq+6/gKSglQq0Db+w5nHzRCvPjib+mmfIfPHeup3GB\nYUaQpD4VPEcy55XhorAYSP3m7ShToxKegfoW3O9vx7X9MGFXtJgxmnu7EOOCKVhanNhXfTLo+w3U\naBnsOQBqjchd3+1futwFutNebsc6/vzszZKXt4zc3CXY7aU0NB7Cbj8xKHWS07n64Uw+eq6OPR+3\nEvIP7Vo/e7yVvzyfjFYXHyWjm+8y8O7r7iFFXc5EEEDSxq8Y+wJRgm12qlY9gyBK5N7xKO1FBwi6\neu/JcyaOA9shFELUdP/7uMqLoLx7Q7bE2YvxvHXBcDlb1Dz+V+TgwLMFWl/6cBhmMzQKJ14wXAbN\nqSV+RBQQXGC4yLv2y5S93Xd6p1JnZPTNj9FeXUTtxjfOwsz6x4g3XASlAt3kAgzzJ6Edn0skGMK1\n9TDtWw7gP9E9Xy7c7qHlxbUo0xPRzygckuEy74GxBNxBdv9n+L9Al92ehCkxPn+OgC+C1xX5Qq09\nxasOoTaenykCx4+/RUrKZKzWAhISxhIMuGlqPkpj4yHcnsH1Lzq4yU5bcxBHw+DVmU5RWxXihb+3\n89A3hpbPfAprosjya3W8t6r/vVZElQpt7uiOn3Wjx3R6jEQB48SpBFpGvhKOKEFahoKMbIn0DAUZ\n2dF/W6wSaq2ARiug1QpoNAJKZbR7tt8n4/PJ+LwyHleE/XsCNNSGaKgPU1EWwtE63J4zAaXJCoJI\nOBjta2GZMBPDmEkIgoCnrpKWndF1NnXRNaiT03FXlXYc6wnL5NmYCqfiqS2neVtUelWdkIp1xgI0\nyelkXh2tbXGdOIrCZO24XuLsxYTaHTiP9Z2HHy90epHsXAXZuQqSUyUSkiSsCSIJiSLJadHGv2q1\ngEoV3fkFgzLBoEwoCMEA+HwR2hwRnKf+s0doaQpTWxOirjJMY0OIIfZLHRKDMVpGKvEUEzlfyNNN\nRxIkyj37CcuD/1sapuYT8QXxHK8m+ZYFNL+9DTl0fnnmRRHSsxTkFSjIylGSmi6RmiZhtooYTCJ6\nQ3RtVSoFZBkCAZn2Nhm/L4K9Nfq5bG6M0NwYproySFlREIf9HH44zyEhrxtBoUCbNLKc6iP+I579\n668g6rUA+Cvrafjja33m3QIEqmyoR6UO6d4Tr8iiand3+ct4o1QJLLlt4CliPneYIztclB/xUHHM\ni63Sj9cVJhz6IpksUXzNHnzN8Uu1Opu0tBbR0lqESqUnOWkiqSlTyMiYRUbGLNwuGw2Nh2huOULw\n5KaxP6i1Ird9N4ebvjEKT1uIMzU4fn7b4QHN8Z3XXFx+rY7c0fFZMm5eaWDNm+7+b9ZEEX3heLS5\n0a7Gydfd3PmaLBNy2Gl6/524zC3eTJiiZvIMFVOmq5gwVTWgyJVWJ3QbP2FqV4+yrTbM0YMBjh4K\ncGR/gPLS+EnTKk1WRt3yACprEtVv/5uI34/KbMU4djLVbz8HyGRddw+a1Ex8DbU0bv4AOSKTt/Lr\ntOzcSG+uW8ehnUQCPlQJKR3H/K0NNGx4C23616hdE61tESSJ7Bvvp2XXRpBl9KNGU/32v+P2O55J\nQpLEuElKxk9WUzBOwahcJYnJA1OoUksCas3pf7fezw8EZOprw5QeC/DmKx7KSwMMUql0UFhvXkz7\n+t2EHH3Xcmonj0bUaQiU1xFsPDdyqGei04vkFijJHzPitzTDQro6nzAhSt19S+H2hCrZjCYvDTkQ\nQtSq0OSNrNql3igYp+KiuWqmTFcxfsoA11jFqTVWJDs39pjmxggnigMc3BNg91Y/leUjS/57uJDl\nCHIwiEI7stpyjPxPuQBtnwwi91ahGHLurcagoOlE/4ryh8L0S83oTf3/UzRU+dnwegvbP7Dj934x\nPQGfRwIBN7V1O6mt24nBkEZK8iQSE8aRn38ZeblLabWX0NB4ELu9jL5i+XvXtbJ3XfwU9sIh+Otv\nnTzxdHxqsNLSJWbN07Bjc/+MsYjPR+N7b4IgkPvNx6l+6s9EgiejSbI84vJ1FQqB2fPVLLlSx4Il\nmmG9V1qmRFqmliVXRh089TVhPlvvZdM6HyeKhhZxO5UqlnHlbSgNFvxNNlQJKSjNCWRdt7JjnKhU\nISgUpCy4AkEUkdSaLv1hhoIcDuMqL0KfPZqw34enphw5FL8IQUKSxMw5amZcrGbiVDUpaYOX0R0s\nKpVATp6CnDwFS6/S4fPK7NvlZ9smHzs+8+F0DO86b1o2C19JNeF2D5LViKhUEGx2dIvEKNMSSXn0\npNNABueaLTjWDE3+fyAIAqSmK8gfqyB/jLLjv9QM6VSPvrjw7BspfQ86h2zd5OOn3+lc35WillZ/\n313PeyPs8UNERmHSEnbraHzt02GPtkSG4GTNG6Pksqt1XLJUS3Lq8H5mk1JEklI0XLxAw5e/Drb6\nMDs3+/nwXc+Q19gRjSAgSBIIZ39N7I0Rb7hUf++pQYWxW+KQe+u0edBahz9fdtayfvZrkWHdq828\n/bSNUDA+UZWE+UuxzllAzXNP429uiMs1LzB0XC4bkUiYSCRISvIUlCo9iYmFJCYW4vW2UFa+Doej\n5xTG/Z/E3xN6cK+fTz70sni5Ni7Xu/YWfb8Nlw5kGX9jA3I4FNfNa7wYM17F5dfqWLRMg8lybhb7\n9CyJFfcaWHGvgbrqMO+tcrP2HTdez+DXjJbt60m/4jbclSUEWhsJuZzUvPcinNYxWj+qAFGtpXHj\nagyjJw36XrIsIyiU0V3qyUih88hukudfTtjrxXFox6CvDdHLjp+sZs5CNRfN1YxIL71GKzB3oYa5\nCzVEwnBof4AP3nKzeYOP0DBF1M1XzCXp3qsRddGU24gvQNsH23B+1Pm8LdcvxLlmKxFfAMOCqZiv\nmY+vtAZfUeymrENBrRHIHR2NouSPVZFfoCBvjGJI/Vk+rwRlH/IQk8PDbh/29fsQVUqCrcPvsAUG\ntSaJIvzhmWTGTYrdr+ZskJYucd2tOq67VUfRkSBr3nSz8UMvgUB8P5sGg8CDDxiYN7/7PnTFipa4\n3ivm/TNHgyQRco8sAY6Rt2KfwbnMvd3/ZhUzVuSy4/lSQv7h8TwoVQKFM/V9jpPDMn/7UTX7P+27\nMFZUqcl77PFex7Rs+ADHvp39nuf5hqgQEcTeXXDhwMjy0gOIokRS4jjSUqdjNGUhR8I0txyn3rab\ncChIUlL0tYkTVnC86B1aWo7HvE5qjgZHUxC/J/o7GhOUzFqeSFONj0OfOTrG3XKdnvc+9ODvZ6H8\ni/9oZ9FlWsQ47B1mzlWTlq7AVj+wz3j9i88O/eZxZvwkFXd/2cjMuSOrziojW+Lhb5q48wEDq1d5\neOdVNw77wN/3fnszPls15kmzcBzcjvPInmjERZZBEKh7/xV8DbUkzFxI8rzLCLRGo+OiSk3KwqtR\nJ6QgSBIqazItO9YTcreRuvgG1NYkRLUahcFM665NBBzNIMu4So+Qc/OXCbgc1K99jbDPQ9jrBQGC\n7Y4+ZtszY8er+NFvEs5JVGWwiBJMnali6kwVrc0R1rzpZvUqd9yjMOq8dMIuL96DJ5DDEVR56Vhu\nXETY5cG19dDJMRk0/e0tANy7jpL504cwzJ8yZMMlOVUir0BJ/tiThsoYFRnZUlzWmS8CTf5KElWZ\nCAhDMmDCLh+yVkadFRW68dcMb6q82zOw9/D8xRq+9KiZrJyRoyBaOFFJ4UQLdz1o5IW/t7PhA0/c\n6tUef9zE3DkqXnvNO6TrmPMmojRaO36WNHqSpizo+QQBlAYr5tFTAHDXjSyhlBFvuJxLDr5XhT5R\nza1/vJhdr5Rhr3YRjtGF3FE7+NqK3Ak6VJq+V+fXn7T1y2gBkMMh7Ns75UUlnRbTlJn4bXV4KqLh\nZK/t89cE0JBpZtzKqSRNSUOp7ztS9t71L56FWfUPtdpCeto0UlOmoFDqCPjbqar6lIbGAwQCnUXs\nVdWbqavfxaSJd5KTvaBHw+Wmb4yidF8bHz9vQ6kW+dpfC1GoRPRGBWv+Xsum16PRtaxMBS//PYXt\nu/289LqLOlvvRkRtVYjtn/qYd+nQ058EAZZcqeXlZ3v37okqFZHAyAzHj5ukYuUINFjOxGgSueN+\nAzfdqef1F1y89ryrT1W3kMdFxX/+2vGz7ZN3O/7tPL4f5/EzpKeDAarf/GeXQ3LAj21d7F4QtvU9\n94ho/Oz9bscUeiOOwwN3tlgTJZZfp2P5tTrSs0bOhmcwJCSJrHzIyI136HnlWRfvvOqOWwTGX9lA\n4x9fIeKPftYEhUTKozdjvHRmh+EimTqdbGGnC+/RclS56QO6j0olkJ13ykBRsuwqLUbzBQtlKJR5\n9mFUJjPWMIcT7t2E5EGqm6ZZSb13Kd4TNgCaVg2+vUN/cLf3772blaPg69+3MHnGyFWMS02X+PaP\nLdx8p4Gv3DU4UZ0zmTdXxY9+1MbWbUNr0mnMn4QxZ1yXY8kXLe3XuWGfl+b9G4d0/3hzXhgumnE5\nmC+bhSo7DVHb8xu38rE/xPW+97+0CH2iGlEhcvWPp/U47s/L1g76HqPG9p12c+DTNja83n/PhxwO\n07plfcfP6qRUTFNm4qur7nL884QmSceCJ5ajNPS9sIV9YRwnhj/M2l8mjL8ViyUfQRBoc1ZTb/uY\nltaiHiWRQyE/TU1HyBm1qMdrZo7RsfafUeP0ossSUKpFfnXHYcbPM3PlAxkdhsufnnLyp6ecTJus\n5r47DQgCfLjBy+59PS+Ur7/giovhArDkSl2fhkvmlx6hac3b+GqqAEi59iaaPnj3nKaK6Q0iX/66\niSuuP78kmNUagbu/bGTZVTqe+r1z4Kl65wBT4VQsk2fhravEW1/Vr3MEAaZfrObqG/XMuUTzuVOa\nMhij77+rbtTz5K8d7N899O7j7m2HOowWADkUxrXtEIkrr+ocdEYQO9TsQDshr9/3uOF2A1/+mulz\n9/c415iVKdh8JeTpppGsyqYt3II/7EYm9ndIsSu2A0CVkUjLeztxH+3f52woyDJ4+4i4CEJUPv+e\nR4wdin0jnbwxCu55xMRLz7QRHuJXlEIpYGsYemZIzfrX0CSmos8YjSFrNLqUUQRcvUeuI34f3uYa\nWg5tI+ju7jRXiGpyTNMwq1JRiF33XTttq4Y8594Y8cuHdlI+qV+9uSPfOdx+9pSjSj4d/pqPzII+\nNoAyvPfshdqTvhh9wwSUBhWRsEzlB8U0H24g4PQx5pbJlL13FLVFy6il+VjHp7L9J+tpPRofj0g8\nMJtyaGw8SH39ngHIHwuEQj1vOjU6kbbWqNdt9jVJbH2nCb8vQvVxDwlpXaMDoggmo4DFLOJwRrh7\nhYFli7T8+k+xF7ZjhwIcPRDopm41GLJyJMaMV1FyrOeIisJkJuzujDrpJ0ym+cM1yJwbw2XOJRoe\ne9wyYKWpkURapsRP/pDA1o0+fvrd+Ik4DAdtRQdoKzrQr7FqtcDl1+q46U7DeR9d6Q+ZoyR++ZdE\nXnnWxUvPtA06RSXiCyIour+fBUXnMxSk7s9T9voRlP3fRhiM4gWjZRiYaurqPU8UM6CXEpCeDBdf\nZSNp9y5FMkYdqm07uvdYihc+r4zcS8DFaBb57k+szJo3sqPZsbjzfgMzL1bzk++00to8eMNj40Y/\nyy/X8NTTg2/YHEXG12LD12Kj5dBW8m94uF99XHpjjGUeCZpMGj1lhOSz6wAb8UuI+ap5ALS+8jHt\nWw6eVU3xz/4WOw0nniSm9V5gdmR7OzUlZ+FNoVCQvOxq9AXjEVQqQk47bft34Ty4hzNXF/OUmZim\nXIQyMRlvdTmtWzfit0V76qgsCWQ/8Bg1L/2d5KXXoExIwrlnG20HdpN63W2okpJxHTtM0/o1Xa57\n6poKizUaGTrtmv0heUpUuvHIM7uoeL+443jQ5aNpXz0ANRvLmPX9S7n4/y1m42Or8Tb1v4/IcLJr\nz5OEQgPzmNbb9tLQ2HOX+Fabn7Q8LXqTglHjdTz342iKoEYvEQ53PvevP2Jm0TwNGz7z8as/OrE7\nop+vN57rXUr8rf+442K4AMxdpOnVcAm7XajT0gjaz22UTKsTeOxxC0uuiI84wUhg3qUaxo5XUdzL\n8z8fMFlErrtVz7W36jGfI1GEc4Uowl0PGpg0XcVPv9OK2zVw6yVYZcNw6Qw8B0oJNUcdFpJRh3Hx\nRQhKCcs1Cwi1dve6imYDEc/Ij9p93jnYPvh+dV2IyLTvLEJUDr/R7+olTSw9S8HP/vj/s3fegW2V\nZ9v/HW3J1vLe8creCQmZQAgbUqBQygwFCl20dNLSr5u3LbRvobzQsssuo2EFwiaL7D3txE68ty1r\nWHuc8/0hYke2PGTJjkO5/kms8+g5R9I5z3Nf97ju1DFVyxIrJk5V8sDTafzqBxYaaofnZNu508fP\n7zag0Qi4ewkZPP7EcMlMYlJLUzV5lHWuo9PbkJD5YsGYJy7q3HQ8h6txbBi9ZmOjCVP6wMTl4JbR\nUffIuPBykEQcB3YhhULop8wk7bxLkUIhHId6vvv05ZdgmDUPV1UlXUcPYpw1n9xrb6Vp1Qt4G2q6\nx2Ve9FWcFWVog0HMC89GO64EX1szQYcNw8y5uKoqcFdV9JnTVVWBfurMqHMOBF1mWGe8YW1kEZlc\nc9L3K0H5c3tY9s+vMOHrM9j/yNbhfVkJRqykBUAUAwN6Vz97o51b7i1GkmDr2x3djSjzJujobOox\nNBqbglx7Wxv+Xip1L/1n4EVx+yYvHrcUk15+f1h0lobnH+tftcSxbxfpK67CtORcJH/4u8q+/ht9\nCDVA43NPxH090ZCZpeB3f0uhaAwqUMWL/30ylcf/7mBNDA1BxxLSs+Q89VpGr74p/32YOVfFnx5J\n5f9934KzKzbyYvtgG5nf/xo5v7udYJsVKRRCmWFGUCmwv7sZw/lnIqgVBNqsKLNSCbRYUJj06GZP\nxF/XMkKf6EsMFRZfYozHgLUL26ayhMw1GNz9pIkVlSq57x+pGM2nvwMiK1vO355I41c/7BzQOdcf\nbropiabmEAsX9XUSDp+4JAYCMnyhU3MNY34XliSJQPvwVWQSBWOWFlNeEkhga3Rhb4lP5eEEko0D\nexSO7h2dG0MKBmh89ZnuugHHwT0UfPMu9NNmdxMXTW4BhlnzsO3aimXDRwB0Hd5PwW0/IH3ZhdS/\n8Hj3fOFIzDrU6Znkrfw2ot9Hx6fvIVOrSZ40DXVWDu6qiqhz2vftiDrnQJCp5IS8QYLeyKJElT4y\nzOxsdBBw+kmfNXaaa40rOIv2jnLc7uid302mQpQKHe0dQ99QPlvVRvNxDyqtnPJtPc+P1xVizZPN\n3X+vWh3dWH3j3YGNWL9PYutGb0KiD4WligHVxWxbPsNbX48mJweZLglVVjae+hoYpd4tU2aq+e1f\nzF+IjTQaVCqB799tJCdXwZMPDU0AZCyhvSVEZXmAabPHbuHuaGHiFCV/ejiVe+60xBR58ZZX0/bo\n65hWLEWVlxFWb2uxYn9/M64dZbj3VqCekI97XwW5//MdghYbCrMBQSnHsn7PCH6iLzFaSL10HpY1\nO/v9O9Fwu/o6ngpLlNz3z9QvVNTUaJZx799T+OEtHbQ0xRZ5GSnJ46bP3op7jg5vLRm6EqrtuxNw\nRbFhzBMXf0MbqvxT1wwqpTCZ8340jeypkb1WWo/a+fSBw7Qfj0/fWqke+AFtro6/6HIosO/dEVHs\nHHK7CHR2oDT2SOjpJ4V7M3Qd2B0xztvcgG5cMXJdj+KM3xI2wgOOsNHsaw0by6LPh+j3I1ephzxn\nyD24Jzjg9KMyqJGrFYR8PZ8jOVffZ6zf7kWbOXY6weblLcLlauuXuOiTc8jMmBUTcQE4trdvtG7/\n+sj+Ln/+bQr/795Ozl6s4b7fpPDiay4efnJoxuuGjzwJS5uaNV/FB2/3v6h762vw1tcAYJg1F9tn\n6xH9I/9sLL9Yyw9/ZUKp/OJ786+6IQmtTuCR+20Jk/McLax60cm02Smn+jLGBCZMUfLT35n4w886\nB6wh6A3PweN4Dh4P16wIApK/xwnkb2rH3xRenzz7jqIeX0DQ4sDxyQ48B44l+iN8iVMATWEm+T+7\nuvtvVaZpZIlLr6hgeqac/3noi0VaTsBklvH7B1P48W0dw0rlTE+X4/VKdMUYSe0PXkv8UVKrr4kJ\npkWYVNnY/JEqtdX2kXVmjDniYrpsccTf3rJqNOPzKXzsbgKtVly7j9Dfrmp7N7EdfC/65UzGzUvj\nle9s6RNhMWZpufafi6jfY+G9/+m/1mAwjBWden9b3xtZCgYjCjKV5rC2u66wBG1Bj5KMu7Icd2U5\niD0ecNEXNipPdDQXvSd9f5/3foh1zoFQ/e4RJl4/k0k3zeLwU7u6X1cZNSx7ZAUH/rmDgNNHyZVT\nSMo10FkWnSSMRSgUWuTyxDXbuvvZyfzlG+UA5OcomDRBxYXLdZx5fhMvPp7Bw08ObZ7tm7x8+p6b\n5ZfEr6x187cNfPD20IQ3ah68L+7zDYbFyzT88o8p/3WFxJdcqeOSK3V8sNrN3/8nvki3/qxZpF5/\nAZIvgL/VghSI/iy3/PWluM4DsO0zLw/ca+PHvx5iM98vOBaepWHNlhx+fHsHRw7FlqIyWO+09qdW\nD3j8S5wamFVZFGinkixPQSEMHH3cYOn7zLX862NCnh5nkFw7skXx7e0968HPfmdKyD4yljGuSMHr\na7N44F4bH70ztL3uq1dq+eGP9Nxzjx1BgGlTlVx/g45HHumKu7dLvGhxVdDiqhh84AhgzG3LvYnL\nyVBmmjFdsrDf44kmLgVzUyn/sDFqWpi9xUPZB41Mvig3rnP4PCIK1RhhL4MgYLOgHVeEp74GX0d0\n9Su5JrbFZyhzDgUNG2qYcN1M1IbIxdbV1EVyvpFFfz4/4vWqd0ZeeGEwpKZOQqM2ApBiLkX9+f9P\nhlptICtzFjZ7TcLOm1nYEyXZssPL3/+cwnd/bEGlFFCpY4ssHNzjT8iGY06VkZOvoKn+1Ekcn8D8\nxRru+aN5VEmLwybS0S7idor4fRJen4RMFlbJUqsFkgwyMjLlCakpGgou+oqOxtog/3lh+Kmq+nNm\nE2i20PLAy6OiBrnuAw8rv2UgLWN019Om+hAOu4jfL+H3Svj9EnJFOAVPrRFISZVjTpWNeg2OTA7f\n+YmRu26JzUkjU6tQFeWgMCeDBEGbE39NM6J3dKL/XyJ2pKpymWE4FwAJiYAY+291MmmJ9neicaKH\ny3mX6kaMtHjcEm2tITwuCa9XxOuREEXQasJ7ndEsJz1zdJ/NO35oYPc2H5b2wZ2yK1fquP9+B5s3\nh3+LTZt81DcEueP2pLiJiyCTYyyZjr5gIipzBnKVhpDfy/FVD3ePURtTQRDw2S1Ra0pPQClTD+ue\nGy7GHHHpeObdU30J3VAnKXB19v9juGw+1EnxqV743BJJfe3VMYmu8oMYZp6B+cyzaHnv9YgbWaZS\nDyt1J1Fzulu6+PT2N/sohe380wbm/fJsknLCKWOSBMffLKN5S3ydnhMBtUpPYeEyANIzppHezziP\np5PqmsH775TM0hMKSNQcdjJ1UXTPs0wOMnnPIv3Ppx388+medMdrb41NevvgvsSpUU2cohwycdEV\nj0eVlYWgiPQsWjfG36foV/eZUShGZiOTJKgoC1B2wE9luZ9jR4O0NgXxDdIM8gSS9TKWXahl4hQl\nM+dpSM8cOSP91jsNNNYH2bJ+eKpRylQT9g+2jZqEfSAg8dYrTr75A0PC5w4FoeZ4gNqqIHU1Qeqq\nAzTUhrC0h4ac+mEyyymeEG66OHOumhlzVSNuME2cOvRIraBUYPrKUvRLZyOoI00DKRDCueUAtrc2\nxkVgPG6RjraRzUNMBHG1WsTRKqEbFhz2yO9wnC7c4bzCuYNmXyViPz3AxhI8bpGUNDnf/nFinler\nReTQPh8H9/ipPBKguTGErXNoP+IZi9SMn6Ri9nw1U2eoRtRplayX8a0fGfjTL62Djs3JUXD4cOSe\nePhwkOzs+C5QZTCTt/xa1ObIMgxBiFyPcpZegSYjj7r3n8fVHCl8BJCbPIVx+tmo5Tp8QSfVXXto\ndo2chPYJjDni4tw+OooWQ4GjxUPW5P5TD7Inm3A0x8d67Z0BUrITlwY0kvA21mHbuQXTvEXkmcy4\nqyuRqdRo8sbhb2um7aN34p7TeeQQCr1hWHNGkzfuqrex7nurMRanoNAq6aqz4rOPDc9hU/NOLJ2V\nzJ1zB/X1m3A46iOOS0gEAm68Xlu/zShPxg3/rxCAP3ztIN+8v2RY11RYoKSqZuhdlxvrgljaxYT0\nNJk4VcW6Dwd/nkwLl2Beei7+9lZU6ZlIfj+CXIZjX/x5tQaTLOao01BwYI+fT9a42bHZN+TNNBqc\nXSLvrHJx4qmYMFnFknM1XHi5LuG54YIAP/+Dmbtu6aDmeOyduEWfH+SjG/14700319+WjC4pvvN6\n3BL7dvkoPxCg/JCfijI/Pm98MqI2a4g920Ps2e5j1YtOVCqBMxaqufByHfMWapCNkPKrQiEQDA58\n7YJSQeYPrkFdmkfI7sJ7sJKQPUw45aYkNKUF6M+ejaowh5b7nhv2tbz+kpPXXxpZwZkPduTEPcdP\n7ujodqLMOftH+Lx2RDFI47ENOKyn3unVG8k/S4PjAAAgAElEQVRyM5ZAE43ekTcaE4Uly7QsOVdL\nsn74z6qtU2Tdhx4+fd/DsSPDd6Lt2uJj1xYfL/+rC71BxtLlWr5yTRKFJSNjIi9drqVovJPqyoHX\n1eaWEFOnKKip6SEvU6coaG6Jj1UXXHATSoMZJAlPWwN+RyfG8TP7jHPUlqPJyENfNKUPcclJmkSx\nYR4NroM4fB0Y1OmUGhcgE+Q0OkfWjh9zxGUs4ejaZs5cWcq864vZ+3otQV/4ZlGq5cy+upDSpZls\n+Vd8OX6tdT6Kpp4+uZ2WjR/ja2nAMGs+xrkLEL0efM2NOMoOJGTOlCXLCbm74p7zZEiihO3Yqe0B\n0h98PhsejwWPpxN7L+ISK+678XBPZ2sJfnHBXsRe9opMLnDfh7P6neP73zLwo3ti+64O7fNx9vnx\nF+lPmDI0Aq+fOZeO91fTdXAf4+66m7p/PEDGpVcQtA3uwRoIMhn84g/mwQfGgFAQvntDO7XVsRv+\nQ0FFuZ+Kcj8vPtXFuRdque42PZnZibOA1RqBn/3OxF23dAxq/PaGe18lutnjsX+4fdC6iUTB7RJ5\n7w0PV9+UNPjgXjheEWTXFi+7t/koO+CP+fPGCr9fYssGL1s2eMnJV3DTHXrOPl+b8LrHpcs1gzoE\nDMvnoS7Nw75mC/b3tyCFIh0lglyG8aKFGAdI5f6iorOtnJryD1DrzEyefT3lu1/C5z31SqeRkPCG\n4m+dUDxZg1Yn49hhLz7vyEZtCkuHb3421Yd46eku1n3oHmoZ7JDR5RB5700X773p4swlGm6/y5jw\nfjKCADfdrh+0+e+rr7j5+c8NWDolBAGmTlWw8qYk/u/h+H5rpcGMz9ZBwyf/xu8I75vRiIu7tQ4A\nbXpen2MF+hlU2rbQ4q4EwOKtwxNwUGiY/SVx6Q1VTjihJuR0EXKMbArCrleryZudyqJbJ7BgZSld\n7V4EQSA5XY1MLqN2Zzu7X6uJ6xytdQN7CVRqGX5ffAuIr6OV43/7fdRjnZs/pXNz9PSaxlf+FfV1\nZ0U5zoryqMf8ts6Ic0nBYJ9zVz/St7h6oDm/6GhvP4w/EL8X8uT7xOMM9bvxBHwS377FwGPPOLj7\nB5ERxelDJA8n4+Bef0KIy7jioS1HimQ93obwgoooIQWDWD9bT9a1N2HfvX3Y57/pDgNzFiSuIHXL\nBi//esQx7OZjscDvk/hgtZt1H3r42spkrlmZnLDIUclEJdffpuf5x2NTULS+uYHMH15D1k+uo2v9\nHgKtViRfXwJ3Qq0qUXjzFSeXX6sbkhJcZXmAzz71svFTDy2Np66+qqk+yP2/tvLOf9w88FRqQue+\n/OvJgxKXpPlT8VU3Y3t3U9TjUkjEtmYzmqlFUY//N8DnttLRcpCUrMk012wlI28OqZlTQBDostbR\ncHwDAAZzIbklS0GSkMmVHNnzEqGgn6LJl6DRpdBlq6fh+AbSc2ai1pq635dXcjY+j432pv0xX5sz\nZCVZEZ/T5erbU5kwQwOEU4b+eOfoNxYcCrocIrd/vZXQKDyu2zeFHRnX3arnuluTE+pUWHi2hsIS\n5YDR7H+/7CYYkvjHI+F9urNT5NFHnaxaFX9hfvPm1d2kpT8E3WG7RKnrq86qketxBCLXbkegHY28\n79hE47QgLjKdGuNFC0iaPxWFqUfGNmjtwrX9MPYPtyOOQCFZ0BfijZ/tZMZXChh/ViamnHBkpPmw\njSOfNnP4/Qak3i7tGFFzZOAbcNxkLZX7Ts/GcF9iaGho3JbwOX95Sf9KdxtebcVbFV4sF81X8+zL\nPaRp8ZmamM9VczwxO0hSsoz0TDntrQO70EJuF/JkPQFrZ7fcthjwRchxx4rpc9Rce0tiJLJdTpFH\n7rcPKe0t0fD5JF58soutG7z86r4UsvMS4yn8+s3JbP/My9Gyoadj5N57B/LkMKFVf+PSfsfVfPsv\ncV/fybC0h1j3gYcLVkSPZLc2h/hkjYeP17hPKVmJhrIDPjav87J4WezPYX+YNE1J6STVgKk0ijQj\nzs2DG8y+mv/uZpN+bxfa5DTUOjOpWVMp3/UiIDF57o0kG3NwOVoombaCwzuew++LJPo1Rz9EEkPM\nPusHNBzfSEfLIabMu5mGqo0gSRhTiynf9cKwrqvGfYCZhuXkaydT7xmeA3DyHC33fqeBXz6cixSL\njvYoYucWH3//o21USMsJBIMSLzzh4PA+H//vPjNJyYlhL4IAF12u47EHBm4/8NprHj7+2IdaLdDa\nGopJ4rxfhEJ4WgcnpiFv2PaUq/s6Jr0hJwZlGu5AT/TRoEzDOwpNKcc8cZEbk8j66fUo08P5eN7K\nehAE5HodygwzxosWoJs9kZa//ZuQI/EGvhgU2fdGDfveqEn43ADH9rsI+vtXFpswKynhxEUt0zFe\ndwZqWTIyQaDVV02dd3ihvbmGiwhKAWq9h7AFWslTTyJLXUyHv44a76GIsWmqPHQyI3Xew4POa1Jm\nYgtELxQ//5mrhnWtvfHxLa8nZJ7TDWuebOz+/6p3XLy1puf+Wrow9ohDXQLToAqKFYMSF299LbqS\n8Xjra3Efq8A490y0RSX4h6lKp1AI3PlzI0ICAhQ1x4P89kedtLacWoP4eEWA793Uzu/+lsKMOfE3\nZpQr4Af3GLlzZfuQN86ujcOXiY8Xr7/o4vzLdBG/qd8vsXmdl7/8xpqYzX+E8Md7OvnuT01cdnXi\nUogXnaMZkLiIPj+y5MGjpvIhjPkiQ6014/Pa0Salo9WZmTz3hu5jcrkalVpPIODpQ1pkMgXjJl6I\nTKFErtAgCAKSGMLWVoEptZhg0IvDWosoDn3dKNL1pPZIiFgDzZQmnUGuZiLWQCt+0QtEj7pXu/uS\nVDHU3aUAmWzs9a169tEuXnkmthSpohWTadxQhd8Rv2N7zw4fv/heJ3/6vxT0xsSQl2UXaXn6YQeB\nwMALktWa2LS9cM3s4IugTBm2B0JRRJIanIcZb1qEWqGny9+OQZVOfvIMqhw7Enqt0TDmiYv5ynNQ\nppvp2rAX27ubIxRq5IYkTCsWo186C/OVZ9Px3Hun8EqHh4BPpGKfmynzo3t7555rZM2zw5cJ7g0B\ngen6ZdR7D9PqqwFALgz/Njjm3o092BMubPAdQSSESuhrAHf4G4ChhZ+LtDPYG/g46jFNyn/X5qnT\npjFr5i1s2fbXhM/94quR3pGf/y72OhGHTcRuFRPSWT6vQMnurQNvMtZNGxAD4TGOndsY9/2fErBb\naV/z9rDO+bWVyYwrin8pPLDHzx9+1okzQU3C4oXbJfLruyz87n9TmH1m/ClwJROVnHOBdsiRJNvq\nz+I+53BRWx1gx2YvZy7R0NkhsuYNF2ted2OzjmGpqM8hivCPv9owmATOOi8xa92CpRqef6z/VD/f\nsUZ000tRZpgJtEVfA5SZKehmlCbkek5H6PQZpGZNpWznswhyBV6vgyN7/o0kiQgyefhfQYZSqUWl\nTsbvO7G2ChhSClGotFTuX8W85T/vnrOtcQ/5488jFHTTUhtbs8fCz5XEekMr16MdJF0nGnHZ9kkX\nv/pHHpm5Sl57YuzUhIaC8OAfbXyyJvbSgMnfnMfEb8ylbWcjjWuP0ba7sU/9ViyoLPfz259Yuf/R\nlIQ0JTaaZMxfombzutiUG195OYVrrxu4PmYgCAolanMmPuvAKqK6zHyAqOManIeQECnUz0Fl0OIP\neah27KLROfIp/2OeuGinFeOtasLycl8jNuRwYXnpI5S5GWinD09FaSAsunU8R9c2Y6mJHvrKn52K\nzqzi6NrmuM6z/QNrv8Qlp0RD0RQd1WWJqecxKNIISf5u0gIQksJenkLNNMzKLAA6Ao3Ue8sxKtLI\n10xFQkIt0+AJOSl3bUEr11OomYFGriMoBih3bSEo9e/Ry1VPIEtdjDXQSpVnb/frJmUmRZrpSEjI\nBAVHXdsp0EwhWZbC9ORzADjk3IB0knfg6EsDpzRMvCHsiTq26jAh39hKBRkOFAo1QoySQ8u+nklt\nuYuqA5H37oyzTOhTlWx+M0w2k5NkOF09C/lwC5Jrq4PMMMfv2R9KYXnA2rOpin4f1X/747DPl52n\n4LoEpIiVHwzw67ssQ5Y1Hi34fBK/+1knf386naLx8S/3N3/bwGefemO+TxSpRpQZKUhIhNptBDpG\nvrj5hSecrP/QM6zrPdWQJPjf39koKFZSOMTar4FQPF5BRpactn7UiBwfbEE7vZisu2+ia+0uPEdq\nuzMY5KZktBML0J97BgkJS55mSMmYTJIhBzHo59jB1/H7wl7/9oY9TJp7fbfj+ui+VxFDAarL1lA6\n4yokMQQyGZX7XsPlaCKnaAkT51yLu6vHERnwuwkF3YCAzztwylBvlHcltm/dp2/ZObTTQ26Rkj2b\nxkZ6uiTB/b+xsvGT4aXd7rlvPbnnlpI5P5eshfn4bF6aNlTRsPY4XTXDE3MpO+DjsQcdfP/uxPSx\nWHKuNmbiUlwcvxJt1pkXUPfxy0j95N3JFEpSZ54FgKMmOhlpdJbR6CxDrUjGFxz5FLETGPPERaZS\n4K8fmBX6a5tR52cMOGY4mHd9Ce3HuvolLlmTjUy/rCBu4rJ7rZ2rv5+N3hz957js1gwe/mlNXOc4\nAbVMFzUH0ahIx6BMZ2/XJwDM0C/rjqQkK8zssL+DKIWYrT+fJLkJV8hGuWszekUqXcHBvTONvgpC\nBNDJeorBBQQmJS1kr+MjfGIPMTvi2saZpgwOOtdHnavitYMDnusEcalaXTZmpI/jgUweOyFYenUG\nlof7qpT5PCKXX5fVTVye+Uc6X/tGbL1boqG+OpiQlKSsnBHShO0H3/mJIe4i9obaEL/9ydgjLSfg\n80r8/u5OHn4uDb0hvqhYVq6cS7+q4+3XhmbYqLLTSLnpQjTFkY16fdVNWF76CH9D4qLJvXHsiJ9j\np77P7LDh90v89TdWHno2LSF9hWaeoebjd6M7wHy1LXQ89TapKy/BuGIJxhVL+owJOT20P/ZG3Ndx\numHPhgejvt7edID2pr7KlzZLFTZLVZ/Xy3Y+G3UepUpPa/2umK+rxdf3HPFAo5XR2uintdFPkkGO\ny3Hqo5NPP+wYNmkBaNlaR8vWOtQmDTnnFJN3bilFl0+h6PIp2I9baPz0OE0bq/F3xWYnrFnl4qzl\nWmbOjX/Pmz1fjSCESdqcOSoCAYmDB8Pp10uX9o2UKxQgj3ObDHnd6HKKKb7i23SW7cDb0ZM+rjam\noknNIXXmEtTmDAIOK/bKvQPMxqiSFjgNiIuvsR1l2sDMVpFixN/UMUpX1IOAO0RSSvw3bjAgsX6V\nhRW3Z0Y9PnWhnplLDOzfFJuqTzT4JQ9qWd/caZ3cSFewJ/TYFewkSW7CHbLhDHYiSqHP3+9FEUdq\n2clQybQERF8EaflvwPiSS0GAymNrAJgy+WsDjlcpYy86N6Qpaa7uu+B3Nvswpvd4a9o7ErM5NdQl\nJrKVkTX4imxeei7uqkp8jfHJR0+YrGL+4viKoH1eiXvv7sRhGxvpYf2hpTHI4w86+Olv++9LNVRc\nfZOed153DSpDqkw3kfWz6xAUCpzbDhNs7QQBFBkpJM2ZQNZPrqX5vhcJtA4/5WE4uOWti1HpwmvY\n2z/eTMuh6OdXqOV8/ellrP3LXpoPnJrUmeMVAT54y5OQepfxk1X9EhcIy1f7jj9J0pnT0IzPR2ZM\nBiRCVie+ilqc2w8huk9/R9BYQVr2DDLz59Jlq6PLFt9algjc83Auv/1m+Dp+8pds/vDtU6sq9vG7\nbla9mBiD2GfzUv1WGdVvlWEqTSVnWQnZiwqYcsd8Jt1yBnv+vI62PY1DKfvoxsP32Xj85Yy4m1Wa\nzDKKSpVUVQb4w+/DzTgvWxG2Z//+YPzrdTTUf/xv8s+/HpUxlayFF3e/LlNrKb7qzu6/g24n9Z+8\nghgceh3rvMyvsrN1ZB0cY5642N/bSsa3r0Q7tRjP4b4eBu30EnTTi2l/Kvbmh/FCn6nF706M4ffR\nyx0sviyl32aUN/48l7oKD9a2+AqhHYEONLpkzMpsrIFwpEhAwB2yka4q6B5nUKTS6WkCiEjTSiT8\noheVTI1apsUnnmxkS8iQIyCM2LlPJfSGSO+z2VzyuYpLf581dm+r3yNiTFfRXh9paCSblQT8PefZ\nvc/Hjdcks2uvv7vnS8Wx2Bt5dSaIAKWmD05cjGeciacmfm/jdbfFnyL21P85RqxHS6LxyRo3F6zQ\nxR0ZS8+UsWCphi3rB05vMK1YAhI0/v5fBC2RaTC2dzaRfc9KTCsWd6/dmZPNXPFQX0//4xckdm1/\n5or30Wdquf6F8wYcd+KpEwOnlpS+9HQX51+mRa2JL+oyftLg6SWhLjeOT3bg+CS2AtuUmYswTppL\n9asPA1By/Q+xHt5B5/4tMV9ncuFE1OZ0LHujSzN/UdDRfICO5sT0KksETpbPP9Wpla3NIf75v7Gl\nzg0VtmMWQv4QIW+QvOWlqM0azvjNcpz1dsqf3kn73qYhzdNQG2T9R26WXxK/U2HOmWqqKgNcdbUl\nIhtTkmDpWW2IJy1BCgVs3BBfhpGnvZGqNx8lbfbZGIunI1NFRnakgB/b8YN07F1P0BMbeUyKU5Z7\nKBjzxEV0uPAcOEbmnVfhPd6It7wGBAGZXod6XBbqwmy8xxpQpBgwXbKQ3kae7b3YFs7SpVkYsnsK\nIosWZqDP6lsgacjQMP3SfOr2JCbSE/CJvPJgE9/9y7iox/UpCr7/t0L+dmc1LvvwvdsiIgedGxiv\nm0uJbg6SJNLoO0qLrwp7oJXZ+vMAgc5AE/ZgO0ZF2pDnlgtKJujmkSQ3IRNkaOUGqj378YkeJiUt\nQCc3ohAUqGU6ar0HcYccHHFtZ2ryUkQphICMvV0fIyHR7q9ljuEivKKTw85TV+Q7Eti77+k+qeLl\nR1ZhtR6POt5sLhk0KtMblXscXLAym/pyNz5PmFSo1DLOuymLqn09yiwL54UjDucs7rnHv3lX7H01\nrJbEGHdGk6w7bN4/JER3fJ644vFKFiyNL9pyaK+fd1YlLhd8wVcyOPMr6ejNYQOzyxpg65tt7FgT\n/j2mLDaRVaRl7YvDT019/AE7/3gxPe5rXXFV0qDERTO5kK6th/qQFoCgxY5z60GSF07vc+y9e7bj\naB7ZHPuhyNgHfCFeuvGTEb2OocBqCfHZJx7Ouyw+A6l4vAKZnIQ37DsBQS5DrtYiKBSIgeGTeWfN\nUZw1p08H+LGAIt1srIGmfpU4TyBdHXZOtvvq+hyTywXMGQqsbUEUygR3QY0BkgQP3mvD404seZIp\nZWQtGse4iyZhnpKOGBBp3lxD7ZojpM/No+DC8cz77Xns+csGWrbUDmnOV59zJYS4TJwaXvN7pxs7\nnSIeT+RrPl/fccNB0OOkZcsaWre+j8qcgVKbBIJA0OPCZ20L12idBJM6CwkJuy98j6VqCvrMKRNk\nCMLI3ztjnrhk37Oy+/+a0jw0pX07ePb3OsROXPQZGqZfkocpL5yeM/n8nH7H2hpcbHwscQvsgc0O\nPnm5nfOui25Y5BRr+NmjxTz8kxoszbF7xU/AFbKxr6tv08la72Fqe0kV24Md2E8iDr1JxMn1LSEp\nXKQfDf29bg00d0d+TkalO/ac39MFktRXiz0Y7D+PVwzF/luveaKJH/xzEr9+bRp1R1xIIuRPSkKp\nlvF/3+1J/B8OSYkGW4LkGmVyMBhl2AdIvXIdLUc7rhi/ZfhOg+tuTY6rzliS4Im/x5+6eTK2rW5j\n2+o2zrkuLJCx/uXInhllm22UbY6vqP14RYBdW3ycsSg+lbFZ89Xk5Ctoqu/fiSLTqhEHkKgXHW5k\n2r7Rn652N/amsVEcPFbw3lvxExe1RiAjQ0FL88gIlvg729Bk5CJTKPFaetb01DlnkZRbDICzroLO\n/VswTZ6DIslIx651pM9fTsBhxXZkD6ap8zFNnImrsZr27T2k0TR5LoaSaSAIuJtr6di1bkQ+w+mK\nQt00RFdgUOKSpsrHoEiPSlxWPWnhd4/n47SHePXR0U+9P4GNn3jYtytxKYnazGQKLphA3vmlqI0a\nvB1uKl7aR/1HFfhsYeeLraKDmrfLmP/HCxh/7cwhE5e66gDlhwJMnhZfsXxRafQo+DnLou/PL72U\nuPR6SRLxdbYw2Dc+2XwOAFtbXgFgRtqFCbuGWDHmiUvH86Mrcbz39Rr2vl6DMUvLyufPYvvzx2jY\n1zcH2mP3Y2t0x92AsjfeeLSVnBJtvypjWePU/Oq5Ul59oIltH4y8Ms+XGHnU1m7A6+1f4SQYjH0R\nb6vz8tdvlLHo8jTyxutAgB3vdbD57Q6sLT3zJelkuNxhkiAIYNDLsDtiJyFWS+LcuCazfEDiYt20\nnozLv4YsWY+vqQHppPzboaSQpWfJWbwsPpnZ9R95qCgfvvMgViz6aiZnXJzG8d0O1jxWz2XfK0Cl\nkTFuWjKHNlqZcU4Kbz9Ux7E9dhZ8JYOZy1ORyaBqfxcfPhWZq77qRWfcxEUQ4PxLdTw3gMRu0GJH\nXZjd73F1UTbBjtjSQUrPzWXOdeMx5iTR1e7lyJoa9r9eFbEOD2XMYPjGGxehTg4bIx/8Zie12yJJ\n5DVPnsP+/xwnd1Y6+Wdm0LCzjU0PH8Tn6rkX59wwgckXF6BLUSNThL2QfleQNfdspe1IeO2edkUR\nU79ShCFTi98TpOO4gzU/39rnesoO+OjsEElJi8+bmZopj4u4aCYX4S2vjnrM09aANiMPQaHA09qA\nTKFAm1WALquAuneeAyD/khtwt9ThOHaIcVfejmX3BpKLJlP7+hMA2A7vQPJ7UaX0pMKojGYMpdM/\nn0Mi/9KVaDJy8bY1RruMLzEAgpI/ao0rQPkeDz+6uhpzmhJL66lJfw0F4YUnYuvVMhDO+PVy0ufk\nIMgEOg+3cvjxHbRuq4sqiRxw+2naUMWEG+bEdI5P33MzeVp8CmM5eXLUamHIkZR//HN0i+EBdrSu\n6vPaxsZnI9L5ZYKMpTk3j/i1jHni4txyaPBBIwB7iwdrrRNrnYumQ8OTzRsOxJDEo7+o5Y57C5i+\nOLoWuzZJzjd+nc9ZV6Ty1uMtVOz97/JOqs1DMzpVRi3I+t/ofdbR72weDQ2NfQ2Vk+HxWti77+mY\n57V3+Hn/6YHzdZ9/NJ2rbg576SQJHn8wjWtvi13pqcshEghICdG21yUPPEf+d34IgDont8+x6vt/\nP+j8yy/WDXRbDAmrXhjdjWPLG614nSGyi3vu/cpddtrrvGj1clY/XMfE+QasrV5mn5fKY3eVI0lw\nx4OTyJ+cRH15zxqxf7ePthaRjKz4voQFSzUDEhfXznJMly3GdNEC7Gt3I/nDxpCgVmJcfga6OROx\nvd03DTQpTUvI32NYdLWEvYv5Z2Rw1l0z+eyh/bQftWHM13P2j2YgU8rY8+/KIY8ZCp796gcoNQpu\nXX1xv2OW3DmdA69XsfbPezj3F7OZc/14tj4ZbuQ7fnkeM64q5q0fbsLe4GLypeNY9K2pvHzzp3gd\nYcKbPSOVhbdP4eP/2U1njQOdSU3O7P5Tc3dv83J+nFGXjEwZg7f/7R/ypP7TK/2d7ehLp4Ek4Wmp\nQ2VKQ21Ow9vexIn6PW97M5qUDLytDXiaakgeNwF3QxVisH8ngMqUgdKYQv6lN3W/JlPGL4rz3wiF\noOy3blQQIKdAjSZJwJwu59ih2CR6E4GP17hpqE1cRDB1WhYNnxyjZs2RockfCwJBV2yOwu2bvNwZ\npzSyTA4FxUoqR9EZFitOtM04gYDoIyRFElxR6jtuJDDmicupRPknTbg6R19FJeATeeyeWq6/O5fF\nl/Vf6FQ8XcePHymm8ZiXze90svezLqytY/fGTxQuePaqIY075+HLBjz+zuUvJuJyRhyiGMLtTkxK\nV2+4e+XPxpGajt0qkZYRP3HRJg08R+3f749r/vPizEnev9vP8YpTX5DvtAXR6ZUEAyJBv4hCJSOz\nUEtanobbH5jUPU6tjVzmJQnWf+TmmpXxiRMUDdIbxP7RDjSTxmG64iyMly0maO0Kq4qZ9QhyOZ7D\nVdg/6lsEftl9CyL+PlGcP/fG8Rx6u5rKtWFPu63RRdkaE1MuHddNSoYyZqiQBi60or3Sxs7nwmmX\nlWsbyZzas1ZnTjHTftSGrS5McI992sjS70/HPE5P88Fweq1Kq0CSwGXx4mh242h201Lev3G1f7c/\nbuIyFPGLgSDT9B+pC3fjFpBO6v7u62xDXzSFE7WnmoxsnHUVAFjLdpE2bxkdO9YOeE6/rY2g007D\ney9GNHv8EiATen5PQZBF/B0xDjlGVQbpqkJcoehRzu/+LovUTAX2z5u0PnRPfG0ehoM3/p1YJ+za\nW1cRiIGI1L13lIaPjsV0jvaWEC2NIbJy43u2snPlVPZql/K97ybzxJMuAoGetSgtTcaCBSrefXd0\niKVp/CyScopp3BCpFLap6fmo4+udA7erSAROK+IiU6vQzZkAkkTQ5sRf04LoHTlisfvV6CHx0UAo\nJPHCnxuYc7YBrX7gByK3VMM1P8rhmh9B03Evxw+6qTrsprnaS1ujH/cY0GP/EmMHdz87mb98I7xC\nKhSQlSGnpS1Eepo8rp4mPm9i0iZ1uoGvQfQNf8GePF1F3rj4Npg1r4+RCGeUr7u1xoO11cdTPz2K\nGJKQKwTEKClSm9d54yYuAPOXaHi3H4ECyR+g9cFX0Z89C93cSSjTwtKevuNNuHaU0bXlIBFyOZ/j\ntTs2YK/vmy6SUmQkc0oKs6/t271dppAhBsUhjUkU2o/2pOr6uwKoknry3K21TkrOykGfoaWrzUPh\nokxCfhFrfU+krm5nG0c+rOOK/1tC+1EbRz+sp/LTBoK+6Ot1IsiyyRy+93VzJg7r/aqSXNi0r9/j\nAXsnIX9PJNvT2oC7uYaCFTeDIOCqr8TTGpbc9XW2IlMo8VnDEV5BJiPrnCtQm9KQKdUok41Ydm/A\nZ+vAVrab/EtvQpIkBEGg4YOXB4zS/DoEAhQAACAASURBVLfg7NTru/9fpJtJkW7moO+p80Q3LFOz\nlPzhW6dOlvngHj91CVZojIW0AIR8wWE1rT6410dWbuKdCrfemsQzz7oiHIo6nYw7v5c8asRFl1WI\noWR6H+LSH6rtI1+ffFoQF0GpwHT5UgxLZyGoezYHKRCka8tBbG9uHFECcyrxwYvtXPmdrCGPzynR\nkFOiYekVKd2ved0hnLYQTlsQt1NEPMVSh4/8rCau92///cAeutMPApkZ08nImIFGbUImi25Yb9/5\nUELOllnYk2700GN2XnsmA6tdwmwS+H/3Dj8t8mSvUDzQaEdOleS8S+PbXLweie2bRjeFQiYX+Pov\ni8gYp0WTJGfne/1H3yyNPratbuOOBychhiQEmcAzPz+K3xtpsFce8eNxS2gHIYmD4czF/RMXACkU\nwrF2N461u4c8pySKiKHIe0mQCSg0MnY+d5SKj/oWFotBcUhjEomAp3+HUPmaGrKmmrn2+eX4XUFc\n7R4+/P1OvLaefUoSJTY9fJB9rx5jwgX5zL1pArOuKeXlb/QVToFwk9dgUIqrGaXqc0nl9NsvH/Yc\nlufW9HnthOyxs7YCVWoaCnMKzoZwZMWyd1O/0sb1a17o/r8kijSvjW4c2Sv2Ya/onzD9t2Kn7V1S\nlNmUJM3FL3oJStHJXEgK4hWdNHorsPqjR1IcnUGUKiFCLn808d6biXcITbhxNs0bq+mqi14PnDoj\nC7VJS9PG+JzUNcfjT49KSRuaQ00QwGgcPdW33lLJYwFjnrgISgWZd12DpjSPkM2J87P9CALIjUlo\nxhdgOHs26sJsWh94BdEXfmj102bjPHIQKRjfzaRP1+D3hvB19dBdQSYwaXk2SWkajn3Wiq0hMQ+b\nIEBajpq8Ug25pRpySzTklWhIz4s/l1ejk6PRyUnLOT3yglVKHQq5jkDQSSDY10hs2zM0nfXTBVlZ\nsykpvgAxFMTjsSCKw/M6lczSEwpI1Bx2MnVR9MZVMnnYED6Bbbt8LPtKMxnpCjosobjIhz9BneOV\ngwi0mOYtxNvciLehxzhNmjAZeXISjj39e3sEARYvi08CeetGb8IiS/2ht5qYGJJ4+d5I0YF3/xH+\n7NUHeiITJ/6/6/0Odr0/sCqQGIJD+/zMi7NIf9L0+NR0hgpJlOiscmAel4yzPTpxHMqY0UTGRDNr\nfr6Npv0D/xbONg97Xqzg4Koqvv6vZf2OCwYlLO0imdnDjxiebIP4Kurx1bX0PzgK1AUDO9FMZy1D\nV1yKv70dVUYG7uOV2DZ+qQA2UnAGrTiDVgp002nwlFPrGX5NsFwO//tqITVHvYjS6KaK+bwSWzYk\n/pkt/dp0HFXWfomLaUI6BRdNjJ+4VMUfKUr9XHhDqxVYsKDHVlu6VI3/czIpk8Fll2qpqRn5OpIT\nkCuj7xFFxjOodeztbk4OoJbrMGvyaHFVjOg1jXnikv3LmxG9Pmq+/Zd+x2TdfSPZv1xJ42+fAqDr\n0F4A1Nl5JE+aCoCrsjzC0BkKrrj/DDprXaz5fXi+/NkpfPWv89m7qoaKDS1c9b/zaDxg5YM/7R/O\nR+vGY5v79jL4b4Q+KZvpE66hy9WMSV/IsbqPaG4Pe9lmT16J12ejvGp1Qs6lzssBlRpfdQ2CUtFd\nOHwqUDTuXOrqNlLfEHuztpNRX+7qbmP0zftK+MUFe+mdJXQyaQG4faWBRfPVHCwPMGOqku27fDz6\nr+HJ/LrdifFoq9QDe5PM55xHw1P/jHjN395K3uXfG5C4XH1jMiZzfJ6qoUogy9QqUlauoOPJ17tf\nU6SZUOZl4ausRXT1pNOkf/frtP/zVQCUWakkLZiF7a1PUWWnE+pyEXK6+4yLNpcqJ6zEJE814i2r\nQgqFUJiNKMdl469qIOSIFBT46B133MRFb5Bx9vlaNnwcu9CFujiH7LtvHHBtPxmrvrORcWdmcuVD\nS0gtMSKGJOwNXex55RjVnzUPecw3370UuSp8H1z+wGLEkEhrmZXVPwk/f/NvmcyMq4q7x1z0h3mI\nIRFrrZNV394wpGuVK+WEAiFW/HUhEK6XcTS52f50OdWbwtdRuDCLM26eiCE7CZlcoKvVw/5VA+fX\nHz8aiIu46PU9979j3W7c+2IzMJLmTRnwuCollabnngoXUslkZFw+tHrE0wmm1CIyC+ajTUpHqU4m\nFPIT8DtxWhvpbCvDbhn9FPNK5w78UnyG/9/ubqZ4sgatTsaxw6NL/B9/0DHiDqFoUOnVyNV9n6e0\ngll0Nh5CDA2NIBzeF3/a4onn2uORWLfOh0wGbrfE9u3+7l4uoZDEp58OPbto/Nd/hCLJQMBh5diq\n/+t+ffKtv437egv1s6lz7Ad6iItcpmKiafGXxEWZZqRr08DdZf21zeiXzop8URCQazTItVpCHg/G\nWfNJKp2IZf3HQz53cqqGirU9XofplxbgtvjY9FQFYlDkyCdNTDy3/z4vXyI2jMtZzK5DT+IPuFk6\n9+6IY3ZnPammCQk5j3H5OagLwn1/2mvrSL/pWtqefmGQd40cQiFfQpo2+X09xMHjDEV0Qj4ZgZMi\nI+eepeH629uQpHBE4uWnMoZNXAIJSjlXDLIqiX4fcr2BgLWnh5BMlxQhixwNcxbEZ6TXVQdjkn0W\n5LJwLxOvH1VOBvrlZ+LacZCUGy6l87nV3RHivpBQTyxEO60U2xt904ZUuZlR50q55XJcm/Yiuj1I\nkoQixYRxxVk4tx4g5fqLsTy3GtHTs+nVViXGazdhsmpYxKV3oXdruZXHL3iHlKwplMyYiBj009qw\nG7ejJypQu72V2u0D96rob0z+hOVYWg7z1GV9U51Oxo5nytnxTPmAY167fX3E37teOMquF8I9veRK\nGVc8tITaba18+NudhAIh5Eo5JWfnsPwXc3jmq+8T8ovUbG2hZmtsEY94G8+dWGba/vk6/urYI9eD\npWQLCjm53/w2AYsFZWo6otdDxhVXh8/5Vl851dMNBRPOI3vcAiRJxNXVgtdtQaFKQqNLQZeXgSQF\nTwlxafXFf86rb09lwoxwRFoQBP54Z8Mg70gcdm5JHFHKWjQObWZP/V7mvFy0mUl9xmnTkii4cAId\n+/tGllQ6ExMX3ozDUkNHzS58noFl270eKe7UW6Uq8r2iCBUVAXw+adjPvXSihjCepmUnQS4oSdH0\nqHmmaQu6Iy4CAplJ43EFY5O4Hw7GPHERfQHk+oHlb+XJWkRvjxFgXrwMXVEpruNHsaz7iJAn7LHM\nvfGbMZ1bkIHfHf5R1ElKihels+/Nuu5caZfFR1Lq6ZF+dTrAkJyDPxC9sZLP70Sl7Lv4DAfqonG0\nPfUcGbfciBQK0ScsMcqwdFaQmjKRhsZtiGJijMlfXtJ/PviGV/s3/AYRUhoQoVBivsco9doR8NbV\nYFq0lLaWJkS/D0GpxLxwKd76/iOqarXA1BnxPatlB2NjZorMNIyXnY199Qa0M0pxfrYbX3UjyqxU\nVCV5eMui95xR5qSjzEyl/fH/RD3e31xil5uuDT0RJ+30EmRaDbqZE5Al6bojNCfQ3JCYe614Qngb\nSbvpYpAJdDwX7r2V+b2Bve0yQ/TnWa010dG4D1dXC6UzvsqRXS+h1hhJMuXgtNbj94UjRwqlGn1K\nEaGAly5rHZIkoTflotQYcNka8HnDBFybnI5aZ+6ORvaeS60xAAI6YzYeZztel6Wf+cWo19EbKUUG\nUor0vHXXJgLenu+4dnsb826ZhEavwmUZnqGWqPoDz8Hjw3qft6xmwOO27QNLu5/O0OhSyB63AL/X\nTtnOF/B5e9KPBJkcY0ohHpdlgBnGNibP0XLvdxr45cO5gyrqJRLtLSLtrYkTENKm6Si4YDxJOQYA\ncs8toa9wfhiuJgdH/tU3St90ZD1NrCfJnEtG8XxAwNp8BGdn/3uMyxkfcYkmjHPbN+NrxVHz7tNo\n03LwdEQ6KbyWFhrXvjqkOfKWX4s6JRMI92lJ0xaRog5/o1NSzo0Y6wnaOWLdGNc1DwVjnrj4jjWg\nnV6CMtNMoLXvj6jMTEE7oxTPoR6PQ9Bupenlf4WN0pPg2LszpnN3tXlJGRfeXKdenItcJefwhz1N\nrzR6JVKCjLUvAYLQ/+2okKuQpAQtbpLY44GQyQbs9TIaqK1bz7Qp1zF92g00N+/G4+0kFOobPUiU\nJPKaJ3vu4c3bffzr4XQOlPmZOVXFxjg8X2pVYrw6oUHEI6wb1pJ9463kf+sH+JqbUGdlIygUNL/0\nTL/vmTRNFZdiGkB1ZWyGfqCpDet/PgJA9PoRtOEIg0yrRvL2Hx0KdbkRu9xop5XiOdQ3dai/uXrX\n9Im+AO49Zbh2RM97DwQkuhwiekN8939GVvi5VZdGmgfa6SVhJtyfETSIFzDo99DRdAC11kTe+GV0\nNOyjaOplHD/4JpIoMX7W12it341aa8RhlZDJ5GiT0/H7nJTMupqybf9Ck5RG3oRzaK/bjTG1BEvz\nYfImnBsxlyG1iJSsKbTUbKNoysVU7P0PSH3nj3YdwUDfCERXi5uQX2T6lUUc+bAOSQRTQTLzb5lE\nR6V92KQF4pMrTwR676m94evlPFClpuG3nLou7ImETh823iytZRGkBUASQ9g6+ieDarWBnJKlmNNK\nkCQJa/tRGqs+I+CPjFRmFy6kYPxyLK1lHDvwRp85pi36FgCHtj6Bz5tYz7YYOnlbTMxaPhQcOZxY\nYaXq1eVUry5Hm5nMOY9eQeUrB7Ac7O2skwg4fLiaHf03phUEFEotCpWOoN9NeuE8TFkTaCj7JOrw\neJ0KqgTtnycj6HHSVd83bSvkduLvGloD85C3p447IPoo71yHgMDS3JvZ2vwyoc/tMglx1GTKxzxx\nsb+/Fe30YrLvvhHH2t24tocbfMlMyWgnFmBYPhdBELCv6akPCHncEQusypyKOicf17GBw/+9UbGu\nmfkrS0lO11AwO5WqLW1Y63q8bCnjkukaA0WgXxR4PP15qwRSjMU43QOniAwV7gOHybjtJhQpKWR+\n8xs4dw1d8WgkMHf2t1Aow2pX48f333tm85b7En7uR560M3eWmtJiJes3Odh7YPibiCIBzScBojQ1\njoC/s4PGZx5FP/MM1FlZdB3ci2PfboL2/hfikonxF5FXVw7fanRtO4D56xehmVyMTK3GV70FRaqJ\n5EUzUWSkYrrsbLrWhx0rYpcb29trSb1pBaFOB6LPHzHO8em2PnNFg3tPOSk3XIpqXA6CSon11Q/7\nkBurJX7ikp4Zfn/TH57pjmqcQOs/XsdzKHpkSTu9ZNCojCiGMGeMR6FQY86ciFylQ6fPRhAEbB3H\n6WzpWdNFQohiiCRDNgqFGkGQYUwtpKPxILaOKozpNQB95gLobAnXJhhSi1FpDKjUyX3mj3Ydjs6a\nPtfsdfj54Dc7mHfzRGZdOx65SsDd4aVuZzu7nj862Nf5hYJxydm0v/364ANPAwR9YQNOpYmt2aA2\nKY3J81aiVGixd1Yjk6vIzJ+PMbWUsp3PRJCX5tptmNJKSc2cgiWjDGvbke5jRVMvRaFQc/zQ21FJ\ni1mVRYF2KsnyFBTCwNHlDZaX+ry27ZMufvWPPDJzlbz2xOhFjo4cGhk27ml14qy342xwYC2PzXbI\nmXQOxvQSbK0V1Jd9TNAXzgSZvOS2ft/jj1NVUxbFGhcEuOwyDT/7qQFJkqitC7FqlYd33vHElR1x\n4vMMBaEozhkJCWfAgiiJiKPQcLI3xjxx8dW20P7katJuvhjTiiWYViyJOB5yemh79E38TT3e6LTl\nFyMuWYZ993a6Du0j/ZIr8dRVk3bepbStGZoWNcCe/9SQVmwgf24K9fs7WftQT89hhVpO4fw0jq4b\n/SZNX1Q0deyjKG8ZLZ8X5AuCDJ02jXFZC0nWZVNe9XZCzuPcuQfv8WqUGekE2toJdsYXjo0XLa2J\nl/m89PZcPny2iWCvxdSYqmLifD073u/ZmGx2kbb2IHZHfN6SeCMaJxAawgYQ7OrCumnoakXFpfEv\ndbEox4g+f0RhvujxYXn27bAQRCC80ActNmzvbMD2Tk/Bd8jpxvZWuK7F8nyPEEXvcb3nAroL909A\n8gewPPMWgkoZHhdlp7NZRQqKhvyxokKlFjCZZdisfb3xJ4sQ9DnmGZwkmzMm4LBUY2kpo6Opp9ZR\nb8pHrohUiEvPmYFcoabx+Eb0KQXhc4SCyOVh0iqThf/tPVd67szIIlxBCL+v1/yhoL/Pe/tDw552\nGvaMTNPYkYZMrUJVlIPCnAwSn/dMax6wvsW0aAm2LZswLzsv4nV11henBtTZ1UzA5yA1czJd+XNp\nbdgzpNzakulXoFRqObrnZWyWMInPKzmb3OKl5JWeS3XZSTVXkkTV4XeYvvAOiiZfTJe1lmDAQ3ru\nLIypJXS2HaGjuW8fllRVLjMM4bQdCYmAGLsD6tO37Bza6SG3SMmeTaPXq6qyfOTCiI0bqvFZh26k\nn4DPZeNIxbNIYuSa1lbbv/jLEOv4+0W03fOO25O55RYdDz/sBAEmTlDyy3v05ObIefSx6KmqQ0FX\n7dCd+KI/+r20p+2dYZ8/Xox54gLg3ldJ4/FGkhdMQ3fGJEAiZHXirajDue0Qojvyiw15PLT853nS\nL/wKXYf2IQb8dH72KVlX3xDTeQO+EGv+sDfqMTEo8sKtm/A6Tn0H7S8KWtr3s3Tu3eRlzgOgJL9n\nE2xo3UGHNXHeymCn9ZQTlhOorUt8Tuh5K7P45MUWgoHIhVelE7jkjtxu4vLD7xg5Z7GGo8cCTBqv\nYt0mD39/dHgpCIkKdcdSiCjI5YOmrwAUTYivvsXrkXDY4g+Dn0w0RmuugRTz/AlS8knLVGCzRtYA\nWd/aSLC9/yiYNABxyS5aREbBXOwdVVhayiietoJkYw6CXElt2ft02RpIz59N0dRLQRCoO/IRPreN\nnJIlKDV6ZJ+TFWvbEUpmXIlOn4laG+5sb0ovjZgrGqLNH+06ElWTNhYgKBWYvrIU/dLZCOpI00AK\nhHBuOYDtreg90/ztYZKmHVeEY9f27tfFwuKRvehRhBgKUHX4HUpnfY3CSReTVbCAtqa9WJoO4vf1\nbZgKYDCPI0mfRWfbkW7SAtBUs4XswgWkZU+j5sgHEQayz2Oj9uhHFE+5jHGTLqS+Yi0FE84n4HdS\nU/5e1POM080AoMK5g2ZfJeIwU3ZaG/20NvrJHqeiuXZ0Gnw2JajWLhqq3hiePLSlYX9UUmqpj09B\nNlZcfbWWP/25i9WrexxAu3ZruesHyXESlyODD/ocjuoyAq6RL7iPBacFcYFw3rf94x3YP94x6Nig\n3UrIG07hUqWk9SRuDlb1GwPEkJSwNLHqstg9Al9UHDj6b9JSJqHTpAACHp+VdksZdmfiFE5SvrqC\nzjffRTOhlJQrV+Davgv7upEvKBsLEIAkQ89jv+RMDV9d2Yoohkt9/vNM5rCJS29VlOHC4x7EmJbJ\nMC1YjGHWGcj1Bqrv/z3J02YiBfy4jvb1JMkVkF84fAlZIKHFo2MJ8aY3nEBqmoze1Tj2D7YN+J5A\na2c4vawXmqu30Nwr/e3Y/jeQyZVhovC5QVF1cDUymQJRDAESDmstzj2NYZWbz8cEA16O7n4ZQSbv\nNg57z9Xe2GOM1Ff0qLj1nr+/6/giQFAqyPzBNahL8wjZXXgPVhKyh/cluSkJTWkB+rNnoyrMoeW+\n5/q8310Zdio5D+7HeagnIqUtKh2dDzBKsFmqObjlCXKLl5KaNZWC0nPJLzkHa3sFDcfW43FF1vPo\nzeHIX5ctsiO9GArg89jRJqWh0aXgcUZG59ob92FOn0Ba1jSS9eHUx6N73yTgj24rJMvNWAJNNHoT\n49y76rYUHvlNbIp3w4HPK2FpH3tra+n8azm2/eXuv4vPuJqqXaOviqfTCRw4EOl4OnAggEYzejVI\nzoZKnA2VUY+lavLRq9IQhMj9tdref2QqEThtiEssCDps5N92J57aalKWnovk82KcPQ9BOTYVwO6/\nfXgKL19E2J0NCSUp0aBIMYMkYViykJaHHiXthq/BKSYuarUBs6kItTqscBQNQ4nMqDUyJswLq6lM\nXWQk4O8h63KFwBkXpNJW1+O9aWzp8XYJAjS1DN/7lajHy+0a2CA0zVuAce6ZOPbuxrT4rPCLIRHj\ngiVRiUt+gTLuaFDHF5S4JEqlajhqOlIwFJHiOxjEKIIVvSMe/UVAeqd8RJsr6jmjzDfU955OMCyf\nh7r0/7P33vFx1Hf+/3O2F2mLtFr1alnuvYHBGGwTAwYTCCEkpJAQSCfJXZK7y31zuYQULrlcQvK7\nkARICJAQEkICoWOaG65yb3KRZPW22r47W2Z+f6y969WupF1pJRmO1+Phh7Uzn50ZaXc+83m9y+tV\ngev57bhe3I48pNFMUCowX3Mp5usvG/E47r3JgcX+5/+e82udaogBJ2eO/IOzTa9SWDwbe+USCuwz\nsdjqadr3JC5HQihIo4vNxdUNV1PdcHXa46lU6WXam489T761Cp2xkN6OfTj7R/L4kQlG02d9RsPG\nj1l59rFBbvu8Lb6tdub4jHozRVdHdEr5f16lhct/ej0v3fL48IMEIaZKOAXYvEVkyWJ1kuHk8uVq\ntmyZnGzYSKg2LaTWtBRv2AHI6JX5CIKSLl/m2Zyx4l1JXAbefBXHltfjJSQKrRbTvMUMvPJcTs9T\nUJ3H7b9ayS+ufSWnx30PEwxZRlNaQmTQiRQITHnk1GyqZNbMD6JUpV/5y7JEwN+fEXFRahTc+rVq\nAD72n0OaF2To7xD54w9a4pu0GoHn/1TCmdYI9XUqnG6Z++8rBODL/5pdg6bBmKOMS2DkzyN/wRL6\nXnwW/6mmOHEJ9/fGsqtpUFY1vmwLwKIVWl7a9e6p1881ctXf9B6mBsblcxCbu3A+tzXtfjkq4Xx+\nG7o5ozRECQIaWxGCJjGXiR2T5wcymYiEg/S0N9LTvo+S6uVUN1xNzaxrOLDtgZSxzv4mAj5H2uMM\nJ6ut0xegUsZIjSG/GEFQDKva5I0Okqca2+K6vSVGxOcsM/DSk7HSzrnLJ0cdqqtjakstVUY1CnVC\nnCTfVkP5jCsxWEqZt+4eABRKNYOdR6fk+rZvF/n610wUFytRqqCuVsWyZRqeeMLPnXcak4QZH3po\n8vqSAMoMMzk+uDluNqkQlMwquJJAZGw+cNngoicuSpMBJJmoN7nJU9dQha6ujIjbi2/vCWQxOQqm\nsZeiLbIj9vchdrbh3JN7fXmtUZX0pX8nQKHVUvGlr6LQxibErkd/lyJhOVXQavIRQ4mokSAosBfM\nQqPOp3+wiYCYfuLPFsFTzRR86AMM/PHPCEolgnJqb4OKilgUs6npGTzeLhYvupvjx58mKoWwF83D\noC/k8NHMNNf97gj/cdMBfvjSIu794CFCF5hQSlE5RWr4ocfGFqUbCo1GGLc61Xn4vCM/NFUmM+GB\nZFIlyzKCMj1BKbCNn7i8h5GhTUNcVNZ8JDGM5L+gpFahIG/5LJSWfPz7mgj35OaevhggCKDTCxjz\nFOgNCgxGAYNBQG8U0Gpj/zQX/Iu/1ghotaDRCag1AiaTAo1WQK0V0J0bo9YQHz8RUNnMeLeNXr8v\ntoxcPlS08WaU+SYkf2IR1fv0n8d9fRc3ZLpbd1JUtgBDnh21Rh9XCgufIyUuRwvdraOXuZ+HUqVh\n2pyNSHIUR89xbCVzKau9nI4z6YNXLf6DzDetoVI/i7ZAduqpjVti17j5eTfbXootOhesMGR1jLHC\nlaZvsGCahfxiPQpN6rzd/GZuSbDakKw26elv4Xj/I9QuvpmWfbFsocwIku4TjE/eYaS/P8q6dYms\nXG9vlLVrU7N0k01cNEoDLjGm1qYUVETlCM3uvSwsvJZ275FR3j0+XPTEJX/VQszXXkrnvb+LP+Ss\nN63GvH5FfIzp6hV0//jxeJO+ZdlKdNV1hLq7MDbMJtDegnNH+kjSeKA1xP58GnsxZXd9lmBrM92P\nPwpAySfuRFdRQeeDvyLUmxsZ3/NQ6HQgSUih7NOFkihy9r/vQ2WxUPGFL+f0usaLipIVnDn7Wmyi\nAGbWbcRmaQCgquxS9h/7A75A74jHKDHOoNd/ekSJPvdbW3G/lfg+9Dz4yPgvfhzIzyuhp/cAff2x\nB44sRQlH/Hg8nbhcZ5kz+zaqq67gTPOrGR1PlqDjVICIKBEWRyYBNZUq/vGyf9yO3NaC3JEDp2Pk\naw47HWhLywgPJsiLoWEWYk/6RZWt6D3iMtHQpqm5Nq1fgXHJTNq+8b/xB7/9ro0YFsXuact1l9L1\nX38g1DHyPX0xId+koKJKRXm1ipIyFQU2BfUz1BTYlFgLFExxDGTMkMQQiryRjZ4hZvY8ElQmM12P\n/TZXl/WOgpDGl8gz2AqswmStyYq4VDVcjdZgpbVpE71tezDmF1NedznO/pP43KlKplE5TF+ojXrj\nUsp1MxgM9xCSgkD6ubTZn0pSX30qIaTx6+/lds0yHNyDydd35b8to2ZVOd7eAFIktTx3JOIy70sr\nERQCB+/fFt+29FtrRzy/1pq+JK771NZJ8yQZCTd/YGJkqbXWYsTB0T9jrbUYpVaLONhLVEzu6Q5L\nQbRKPYGIi3yNDafYTVQKoVaOPo+MFxf9NKufW0fUGyDcG1OA0taWYn7fciKDbpzPbkVTU4pp9SJM\nVy7B+UKsodMwrYHOJ38fe1gKAmW33TEqcVn3tbkoFAKv/CghNXjj9xeP+B5DQeJLHw0E0BTHPAFQ\nKNAWlyCnufFygcL11+E7fgx/mnr+jDHFbvHpYMmvjpMWi6kKm6WBjt7d9DuOM2va+6ksWc7x5pHL\n/fSqfBbar8cpdtLhPYoYSU3DK7RaJPECZZwpLhVTKDSIYiK9Go2GUCkT3y2Ho4mK8pUZExeAX3w+\nszrTinIVf/yNnR17RP7wF++Ye1ysttxkW0IhGb9v5AeGc9sWbNdcj7rIDoB94y0YZ86m569/Sju+\nsOidlRV9JyJdJkA3oxrxZFv8UslxHgAAIABJREFU/tLNqMKwqAHXpt349x6n6O73Y16/nL7f5raE\nNxdQKKCqRk3DHDUz5mionRYjK2bLu/O7JJ7qwDCvHrXdGn/WDoW6uADD/JGb7aM+D4JKleIX9G5A\nvqWCaDSE3zOUaAvYKxahN9rwubuSfFlcjha87s5Yo33pvCQpY6VKi1Zvwe9JXkBabPXYyxfhcbbT\nfXZnXCJ59rI7mDb3Rg7veCil92qx+Zr4z3plPnpl/oi/SzriojMoCPpjc290koy1h2ZcKpaX8OLX\nNtNzNPtMbMFse8o2+9Ly4Q0mR0DAnfwZ6/IKCXonz9tmolF302dxHN5Bz66XRxxnnbUU68yl9O5+\nlYFDyYIpg2IXhfoqnGI3M6yX0+E9RoGuAl9k4tVaL3rioio0I57uiD/8zFcvB0Gg//cvEjzeCm8f\nRltTimFJQ5y4pCCDhWn53NT60JoV9oy/9FIgEG/+1xTZkcQgcg5VzOIQBHS1dfiOj4O0XKTQavLi\nP5faFhAKe2lu34wsR+kdOEJRwexRj9Hs2kOzaw9mrZ3KvLn0B1pwismR+KJP3E7Pby6eqKAY8qA9\n18QZe+3GaCxm0BmTz5SkMGr1xKTuf/aAi5894GLhPC13fCQPQYCXXw+wZ192PgAFOSIuLsfo95v3\n2CGiwQDWy1Yjh0KoCwrp+duT+E+nOgTDexmXyUA6p22VJQ//nsQ8lb9qAVGnF+ffNiNHo/h2HsG4\nfPR7ejKgUMD0mRqWrtQyf4mWhlnqMQkOvFPhfmk7+nl1lHzjY3he30PgeCtRd6z0RHnO7Dl/zVJI\nk1UAsN98KwAKg5GKz3yRUE9X/Nn5bikVs9pnUlp9CSHRTdDvICz6UKo06I12tHozkUiAMxd6spzD\nqYNPM3vpx5g290aKK5cS8PWj1ZnJs5Qz0H2MM0cSfk1qjZ66OdcjSTHp5fNrF6+rk+7WnZTWXErl\n9KtoPZEcxDrm2cZ48a8/K+c/724bfWAOMZS4HP7LSaatrSIsSgRdYopIRGBw+OfSli89m1bXZu/3\nXqd3b0fa99iXVrD0W2tGvc7ShtU0N2buAZgr/PnPhcPuu/XW8REp0TW6MIqv/RTWmUvJq5yeQlxa\n3I1IcqxFwxd2UmdeTjDq4bjjrXSHyikueuKi0GuJOBNRc/2C6YhtPTHScg6hsz0Yl8yIv/a3nqHk\nA7cT6u5EU1KGv2UkNY4YHvv0trRz8j++1UjzzvQfcO0ldjZ+L5aVUWi0iJ2xNKamtAyxow1dVU3S\neOOceZgvW4XaWkDE7cK7fy+unTviMs1ld38e987t6KprMcyYiRyN0vG/98ezAyUf/xSakmIUag32\nW26NH9e5bSvON2MynuqCQiyrVqOtqkZpMBLxevDt24tze+5L5XKP2AegUmopsNTT2duILMeyVmLY\ni0ZtzPAoAkpBi1qhoyxvDoX6Gk47E9KsUW9u+jpyBZ+vG6u5jmZin6Hb005pyRIGnWcIhdwU2eYi\nhrJreCuu1uHsCyP6Y3+//AI1y9YX0tce5NCWZG8NhQJM+QIWswKnS+Kjt+axbrWe+342vAfHUFgL\nc0MOHAOZZSkDzacINI9+XwNY3+txmRoIQtzzQ6HXYphfj/vNxrhoStTlRWnO7J6eCGi1Apeu1rH8\nch1LVmgxW9+d2ZRMILZ20//QMxR+/DrMN1yOeYjRM8TMnvt+lX7x5to5TNBwTBCwVSygqGIBWoMV\nhZB+mdL42n/n8Jyjw9F7DLU2j7z8UozmMpSCmqgcRgw46Wp9m+7WXWn9XMSAk0M7HqK0+lKs9gYK\nimcSCnro7zxMX2eyT1zNrA2oNXm0Nr1K0J+8MG0//RaWonpKqpbj7DuJy9ES39ctnmG8cA5MfpZM\nHOIjFfKFmXvrdGZsSC8C8btr/jbssaRI+kBxyDN8SX3Yl9wbXVJ/Gd2ntlE+K7nEzGidGmGW1zYl\niJrBIFBfr2T+fA33/df4G+ADPaP3NovO2NpXk5ca2A9EErYJhwc2jft6ssFFT1yibh/K/ETNnKBU\n4N0yJM0pyyh0CRUT59ub0ZVXoSm04TvTFCcUI2G4L31gBINJ0ZvYJ6iUhDpjrF5bWorY0Y6ublp8\nv76unsLrrmfghecIdXWiKizEtmEjgkKJc9uW+LiC9dfh3vk23Y88hDLfjPnyKxh8LRZd6f3T4whK\nFZX/9HX6/vZXAqdi2tryBZatUkgk4nXjfuZpJI8HbVUVtus2Ivb0EDidXov7YsH5xXmxbR4KQU1P\nf8I8Sq3Sx8vIRkKteQkFukoGgmc57dpBKBpkcfH7k8/T2k7eiqWEWhNlLKGeqauz7+09RHnZCpRK\nDdFoiO6uRkrsi1i44JPxMS0tmbvEA9z8lSpO7XPz6qPdqLUK7vnlDFQaBcZ8Fc//poO3/hIrT/jy\nZ82sXqnj9S1BfvhTF4PO2KLyr78vzup8hTnKavRmUKqmLSlF7E6t8x4OuRINeA/ZIeJwoy6JKb3l\nr5yHoFHj3Z64pxVG/ZSUrM5dpGXdBj1XrNVhML733TgP//6TiKcfxLhiLrrplSjMeZw3exabWvHu\nTDV7Po9cKofZqxZTPec6pGiYgHcAWbo45Ke9zg68zvSR+9EQCQdoO/U6badeH3HcyQPDe4VIUoSD\n2389pvNngqaDAdZ9wELTgQCyBG1nssu6jwWRIT5Siz85mwN/PMGZN9qIhMZfsXLisUb83cMv8iOB\nZFIT9MZ8eEy2WnqbEz1J0fDUGKn++jeppe53fMLIypVann9+fD6CYd/oAdxI4FzWVTd1AaZ0uOiJ\ni9jShX5OLdrqEpBjUR/fzmRpOpU1H2mIC3Ow4yzBjhijVJsthF2ZR4/PY9vDTTg7hzeHDPkuWGQJ\nAsFzxEVTWob38CHMF+QtzatW496zC9+RWI1r2DGAp3EveYuXJhGXUFcnzrfOLVL7+jCvWh3fJ4VC\nCKrYzSxHo0ih1Ikl6vUy+FqC/YYHHeQvW4G2pOSiJy59juPMqb8Fi6mKAedJ/MELmq91hUmKY8Mh\nEPGyr/cfMRO6c+j0Jn9fdHU1AOgbpifO/dgTTBUcg6dwDCayB4HgIIeP/pHy0uUICgWDg2fo7tmf\n1THLpxt46eFOAJZeXYBaq+CHHz7MrJVmrr2zLE5cOjoj3HZnb4oR4R/+kp0rb3VtbqaSns7RH1Zl\nn7ibUF8P3oP78R45SDQwsoGr5uK0b3rXw7/3OObrVqKy5qObUYX/wEnC3Yl7Wl1aSMQxedlPtVpg\n3QY9X/6mZdLO+U5D1OPHvWkX7k2ZN5JfCNuGjfS/8A8M06Zju24j7r27cW7LrnTEXrWUoLef47t+\nT1h8z5x5sjBnaawcedHK2P8//ufOCT9neIjKZevWTgKOIL6+wDDvyA6nnzo84n5fh4st9yRK9Zzd\nMQPPgfYDDLQnjFRN9qkhLunw1maRO+8cP5EQFKMHG4epDB0Ri4o2sK8vtWQyl7joiYv7lV0YFjZQ\n+m8fB2Dg8ZeRxAtYskKBpraM0AiymgWXr6Xn+b9mfe49T4ycfh1s9/H4XduA2I0e6uxAUCpRF9oI\nDYkIa+x2dBUVWFampuAFpTJePiF2Jk8W52WLM4VCo8W04hL00xtQmS0IgoBCqyNwKrOymqlER89u\nVsz/HC5PG6fbEjW8CoUKq7mOPsfofT1hKZhEWkqMDfQHWpLGTCVJyRQeTyfHPWM3b9MZFLgdsUjl\n8uttbH+mDzEo0XbcT0GJluvXx76zQVHmfWuSVUCee9nP089lJ61YXacefVAG6OkaPePS+civyZu7\nAMull1Nw1dX0PP0k/uZT8ZLLoXjPY2Rq4Nq0G3VZEfpZ1QSb2hh4InFPC2oV+jl1+PZMfK+eTi+w\n4WYjN38k7z2hhgmGyloQM/ddcSkdD/4vRR/4EGRJXLQGK52nt75HWrKEQlBi01RiUJoQGHlR2uzf\nl7JtMojKUESGVHGp9SpW3rOISz43n6AnxNAii6c+mVvPPCks4WlNDWr3Nu9Oet2y79mUMVOF4mIl\n4fD4M9W6whJ8nSOvcbUFJQBE/JkHmMyaknFdVya46ImL2NpNzy/+gumKhSAIeLYml4lpa2NKXoHG\nJiyXXpH2GJriiflDRsMSA80eNPbYIlASRYyz5xAe6EcOX5DeFgQUajXOt97AezBVzeM8aQGQw+Nz\nRLVtvBG1zU7/888S6u5CDocp/fRnxnXMyUJUCrN9/89TtsuyxN4jDxOJjJ4abbCsJGxeSrvnMN2+\nExjUZqZrL+OYI7nUSltRBhotYnMLglqFHJq6cgRBELBY6sjPK0Wp0pK2wxBobs68jtTRLVJSq8do\nUlE1y8Dvvx2boHRGJdGozNKFCUK84X16nn8lEeF67uXsFgwajUBZRW5KxTozMCQTe7oRe7oZeONV\nDLXTKH7/B4mKIt7DB3C8mfo3UmveIy5TAVkM0/fgM+l3ShKd33mYqH985Q6jYdVaPXd/xUxR8XuE\nZVIgy2hLSog4nUTHaO4rRUUUGUSDpxJzPjafkiVlIMTMOd/619eIhiZGRfQ86m+cQfWaWjq3t3Hs\nyWSfDK3CwCLzevTKvGHenUBYDqUlLgB1s3ToDQpOHQkiBideDjg8ZLpvfrM9514tuYBGZ0IMZF+1\nM1585u7kzzPfJHDtNTq2bR/fOhGgcM6loxIX66xlAPj72rFoM1lHCwjCxM+1Fz1xAQgeb01qxr8Q\n4ukO2r72CwAqPvEZ3Af2poy5kBiMBGvV6Dd9OvguePbmL16K2D7kxpNlxN4e1EV2Im4X44IcM0MS\n0qj4AOjrpjP4xqa4qaSgUqG2WMlN4nXsMFlVLFxtYskaMz+9pzmr98qylFGZGEBYDnKg9wVmFFxB\nt+8EZ5y7mV90bdIY89or0VZVANDXepaij91G78OPZXVNuURd7XpKShYCIEXDw+rHZ0Nctjzdxyfv\nrUOW4e1n+nH2xCa6igYDjs4gP/qvhGThovla/vO/xi5hWFmjIlfrjLbmLBpEJQn/6ZOc/eXPKFjz\nPszLV6YQF7VaQPHemvWigxyViAxOXJlYeZWKL3zNzOJLsstY/1+GbmYNpquXoaksSeoZHYqz9/xk\n2H3B5jPYNt5C39NPxsx9FdkvMQa7T2Cxz6Dr9LYU2d+LAfkVJmyzi3jtKy8BoNarJ5y0AJx65gRS\nOIo2P/U7XWtYiF6ZhyvSR3fwNKIcYF7+lZwNHMUfcZKnKqBM10BfqIVjnvRCCrfcVUjD/JgMvyAI\nfP+Lk08gmreMrYdoWAhQsaaeynX1GEryEFTpH1SbPjaywXPZrDVToiq2dl3yZ+33SfzjH0Eeeji7\nUu50MFbWU3rZDfTufoXokLYDhVpD0aKrMNXOAcB5opEVRTeM+5y5wjuCuGSK9t+nb1zzHj2UdvtQ\nLLyxMu32+TdW09vkpvtY+sXdticTZWq66hr6n0uNMnY99Gv09Q2U3PHpmMeLFCU80I/r7a34j2Ve\nLiFHo3Q99ggF66/FtvFmon4/zrdex3sw1gPR/dgjFFy3Aeuaq4n6fbh3bMd7INEfUbD+OvIXLo7f\nwKUf/yRyVEJsb6P78Ucyvo7hYLKqWHiliaVrzExfYERQZhftnlP/ASymKhRCrPRIksM43Wdp7dyG\n1z+yazPAYLCLxfaNDIqdzLWtYzDYiXJIBEBbU0nvbx/HfsftyLLMcBmOyYLRUERX196sfFpGw5an\netnyVKrgwM7n+9n5fD//+S8JlZCyEkXS62xJzFXrcyPVfOJomN7u0RcAGpudvLnzyZszH6Uxj96/\n/4X+l/5B3/OppXU6/XvZlqmCypqPJIaRLsyqKBTkLZ+F0pKPf19T3FQ4F9BoBD7zFTMbbpkc1+93\nE0q+/lG0tWU4ntxE3wNPj9mDzPn2VvwnTyBotWhKSnG8PrJPRDpYS2ah0hhYsv7fRhy3+8V7x3SN\n44Wn3c2B3+zl0n9fhdai5cRTx+ja2UFeST6Lv7yczd98DWRY9b01HH70AINNA9gXllC/sQEQ2P7d\ntyiYaaPhppns+GFM7fOSf7ucpr8dx3G8H4VagRSWEBQC1/52Iy988pmUkqmhKNbW0Rk8yQlvQj0z\nbBQJRr0xxTHxDKd8e5hjuoKllg3scab2IMxYoOcHX2rn335ePqbehlxg/odmsPgTsxhsdmOtNeFo\ndmMqMSCoBJpebGXnrw6OfpALsOr+jQhKBTu/+RKia/Ts7qzVd9Pfmhr81uXbsjpvrjBeyePhcOx3\n38W+aA2F8y/DMmMYv0JZZvDYbnp2vowsRYmUiWzpfHTUY68u/+SoY8aLdxRxUWg1GBY3gCwTcXoJ\ntXTH5TaHQltagbbIjtjfh9iZmTb5G79ITyDm31hN654+tv92+Ob2s/99HwAt3/9OYtuPfpA0JnCq\nicCp9F4TAJ2/+WVG28S2s3Q9lJ6kiV0ddD38m2HP4Xj5BRwvvzDs/rHAVKBm0ZUmllxlGhNZiR8n\nr5wC8zR8/m4CogsEAb3GTIF5GhZTNYeansTtHTkic9q5g2Zhd7zPpTJ/HicGkzXu/QePYL/zY6gK\nCij+9B1496ROVJOJ401PM7PhZmbPuhWfr4doVDxHqJLR0bkz42NWzjTQdnz4kq89+8W0P48F85fk\npvv99InMyvXK7/wcYUc/7j078Bw+SNQ3fPQpJF58Rqv/V2BavwLjkpm0feN/4yVD9rs2YljUAIDl\nukvp+q8/EOoYv6Kf3iDw3f8pZN7ii1OJQZYh4JfwecDnlxADMoGARDAgx/4F5dg2v4xzUCIYkBCD\nsX0Bf2x/MCDzr9+zUjMt949tTbmdwJEzeN5qHNdxim64GaXJhORP9Mhl6+PS1za+a5gMOJudvP39\nLehtBlZ+ezX+bh+GYiN5pfmsujfhC6LWxwJwvfu7mX7TzBRfkvM4X0Gh1ChZcPdiVLpYFkdtVCMo\nFMO+7zwicihFNjosBdENKR3zR9wU6ivSHmPHJg//738rKC5X8+ffTI3ZYsO11Wz76T5OvtrKR/6y\ngWe/8DpKjYIrvrYUT1d2fZcAhuJ8Tv3lYEakBcDRdoC+ltT1QF5BVdbnzgU+/7k8tm0PceDA+EvD\nkiDL9Da+xmDTXkx1czAUVaDS5wECEdFPsL8Td/NhRGd//C1vd6c3eB6KLt+J3F5rGrwjiIugVmG5\ncRWmVQsRtIkmYDkcwbP9EM6/bU4iMJZlK9FV1xHq7sLYMJtAewvOHe8EH5N3FkwFaj793QoaFuRB\nDspxastXs//4o3h8yZmVfGMp86Z/kNry1Rw48cdRj5OvKcSoLsQXdtDmSc22eXc3EjzdjNpeRLi3\nj4hj4p1eR0JJ8SLyTeUAWK3Dq5dkQ1z+6cFZdDcH2P2Sg70vO3ANJE982faxDAdjnoL6GblpzG86\nmtnk3PnYwxlJnAOEQjKyPDZ1lAtx9EAIx8DE13y/U3G2OZV06mZUI55MSI7rZlRhWNSAa9Nu/HuP\nU3T3+zGvX07fb58b17kNRgXfu7+A2fOnhrR4PRJd7VE62yN0tkUZ6I8yOBBlcEDG0R/F45bw+6Sx\ntHukIByaGCIuyzKR/vHX8KvMZroeG5+5b3tTdtLvkw2VTk00HEWOSgQG/AQdAZQ6JZ6zbvx9Prb+\nxxvIkoxCpYibcFZeWYPoFOP3QjQQQWuOlQEpVApMNWYAiuYXo8nTsOO+bWjytVRckdmCOSh5MSrN\nSdt8kgubuoJm9sWtBHRKAxLps2mv/d3F4d0BymvVNG7NniTkAoYCPT1HYqRJlkClVRIRo+x79Bjv\n++FlHH3mdFbHiwTCKNSZ1zH3nEn/jD17MLfB3kxx24cN7NiZY9JyAcJeJwMHt5EJTY1ImV1HkzOX\nnk7pcdETF0GtovjLt6KrryDq9OLdcgBBAKXZiG56FabVi9DWlNLzP3+Kq40ZpjXQ+eTvOb9iKbvt\njiknLouvyMdqV/H604N89jvlPP9oP2dPitjLNVQ16Dje6MPrik0oJVVaambo6GkX6esMs+4WK4JC\noPlogAPbvTl5AI4V5kI1i1abWLzGlDPCch55xuIU0gLg8XXR1X+AMvuSUY9RZZqPVVuOO9xHkb6W\nA32pE45xySL8hw5POWE5j/KyFbjd7Zw58wpB0RU33RwPfvzJY6y4tpCrbivm+s+UcXy3hz0v9nNo\nq4uwmLsF+IIlmpz1tzQdzSzjciFpUeXnE/EM3yshy7HF3niVxf76Ry/b3pjYRvJ3G1SWPPwXqIbl\nr1pA1OnF+bfNyNEovp1HMC6fPa5zaHUCP/hFITPn5oY8Z4KBPokjB0ROnYhwuinE3rcn3u9iohFu\n70VTYR/3caJ+L4JKhRy5+HpTcgVzrZlFX1iOFIqAINC9pxPHidjSr/mlU6z6/hrkaKwPdft33sJY\nmkf9DQ1s+WbMw8VcbcF11klgIMCVP1pH0BHAczbmNTJ4coCZH5rNym+vJugI4m6JkUmVTs2iLy7D\nVGVGoVaQX2nm8KMH8PfGCIYj1EGNYT4GpRl/NNZH2y+2Yc+vZoF5LT3BFnTKfIq1dTjDPcP+bkp1\njDBMFYIuEUOBDnenF2+Pn8J6Cz1HBggFwujM2fer9ew8S/GKSk4/dQgpnO1zVUA4F/GSolMk3iPD\n4OB7AbOhuOiJi3ndMnT1FTif24brxbeTUqaCUoH52kuxXH8ZpquX4XxuW/qDTOVKfwhkKWa6FIlA\n1XQt195eyNYXXNz576X86tudKFUCt3/VzguPDVBQrMbliKI3KnE7I4iBqfkCmwvPlYKtMTN9vjGn\nZOVCjNSIGYmISBkYkRXqqtnX+48Rx6gLCyj+/N0ET53Bt3sv4Sk0nwTwB/pxuVrx+XN3HZ2n/Pzt\nF36e/WU7sy41s+yaAj7y77WERYnG1wfZ8+IAzYfH3+C3YGlump/FoEzLmcwfDqbFy7CuXI3CaCTq\ncTO49S08B9OXmIjB8RMXveG9Dv+sIQjxTLhCr8Uwvx73m41xsZSoy4vSPD4/gq/8u2XCSUs4LNO4\nU2TXNpEDe0TaW999i3LXi9uxf/GDmNYuxf363jE/MwVBScVnvkiopyuebci2VAxAqzNjstWh0Zvj\ni8ehmKrMzMCxfjZ9MX0EvvW1ZlpfSxafcbU4eeOfEzK+rnPyu7t+nD4y/ebXU0VYIlGJ3f89fCS7\nWzyDWqElKiei4r1iC2W66VjVpVjVMfXVqByl2Z/eE+yWuwpZsNJI++kQ0+boeOrByS8X6z7UT8WK\nYroP99O2s4vLvrKIY8+doXxxMc6z2bvFn3i0kWXfvZpLfngNrc8fw9fpIRpMfc4MlUQum3kltsqF\nKNVaBEGB39XD8a3jyySOBa+9FmT5cg3N2YjWTDGWFd/M7p6JFTK46ImLYflsgs2daUmJHJVwPrcN\n3exajMtmxcf4W89Q8oHbCXV3oikpw99ycXiYXLbeTN1sPScP+OlsFrnxUzZe++sgpw4FKKvRMmOh\ngUM7vLgHo8y9JI9NfxlksC9MT5uIozfCscbJ07W32NRxFbCJJCsXYsA5XA+RgNVUw4AruzTxcHC+\n8hrCpjfQzWzAvO5KBLWGvkcez8mxx4LTZ16mYfoNqFR6/IF+pGiIdN2YvX1HUt88CqJRmcNbnRze\n6qRufh433VPJyo02Vm600dMS5JXfd9G4aewN0guW5Ia4HD0QQsowIGZauJiC1etw7X4bsasDbWkF\nhWvXo1CpcDWmGueJIuSP8/r07zX5Z42Iw426JNbUmr9yHoJGjXd7whBOYdSDNPag0s0fyeOq9frR\nB44Rxw6Fef5pHzs2B/F63l1RT8uGy5Jey5JM8Hgr1lvWkHfFIsSmNqIeH6TprXA+P0yAEHC+vWXY\nfZki31rF9KW3nZOGT4UsSwQ8vRNOXMryZ1OWPxuNUk8oGqDDc4Quz8T7Dg0Hi64MZzC910og6qHJ\nmzz3ycgccG+iRFtPnsqCGPXTE2ohGE0fsJq33MB/3HkWWYLvPFQ5JcTlwB+OE/LHiMWRp09RUGdm\n6afm4u3yseWn2fc+rf7VTWhMse+R5SupHnrn8cKNyU3n5qJpHNr0c6oXbKD96CYqZq/L+ty5wK9/\n4+O++8x0dUURhyR2d+7MXaZXUChQamJzaTQUQB7GEy0TGFXW0QeNExc9cVHbzHi2jqwkEWrtIn/V\nwvhr59ub0ZVXoSm04TvTlHE9/D2vrB9237IPT2Ppben7D37+vsyUU7a97OK1pxLlSQGfhCEvVmdj\nyFMQ9MfqoB/8bicVdVq+8L1yvveZFiSJYeWPcwmLLZFZqZ83OWTlQjS3v8ms2hvoGTyKKMaiK1qt\nieKCuWg0eZxpfxO9rgBhiAqYP5iYYAfFDhYUXYs71IdJY09bKgbnaMF5RbEpXpMumH8HAHp94Yjj\nxkJctHoli9cVsPJGG+XT9Rze5uLZX3YQCkRZvK6A2/61hqJKLS//rmv0gw1BWaWKmvrcTCH792Ze\nx2tefhkDr76A53DME8l/+iRhpwPryivSEpdgYPwZ12wyLlUb78BQWk3vzk049icWeYWLr6Bo2VWc\n+eP9hDyT7wkw2fDvPY75upWorPnoZlThP3CScHfiXlWXFhJxjE0SeVqDmju/aMrVpSZh6+tB/vKo\nlxMZ9ly9E2G+/rJh96ntVtT24RcfIxEXsaMdbVkFGrudUF8fYkdmwjgXoqw+5sd2ev/T+FydzLvi\n85xq/AtSRKSwYgE6YyFNu0fvdRwvOj1H6fQcpcq8kLOu9FmKyUSddTmNXdmZEkuyRGdweEGgC9Hf\nnchEDPRMTWmUqyNBqsKBCK/fm3lfZzqcfTmz330ootEQsiwhKNREQgFU2rFZZYwXzz8XC/z89H8s\nKfuWLB2+5C8TCAol5ukLsNYvQldURtw3QJII9nfhPLUf58n9yNFYtseiLUFGxiXGzluoS+2/UgiK\n93xcACQxjDJ/5KiaMk+PFLzgISMISGIQsT9WeqMtq8iIvHQentyeh60vuPjEN0qYt8KIzqDg5EE/\nRWUaNnysAL9PoutsjFETS8A+AAAgAElEQVQ3HwvyoS/amTZXz1MP5LasaarJyoVYMudO1CojtoJZ\nafcvmvXxtNu37P1R/OcWVyMWbQkGtZUWd3q1MPPaK9HPmYXY3Ip70xuEprhUbG9jeoW48aCs3sDK\nG4tYur6AcFBix3P9PPzN0zh7E/dJ6zEfpw94uPXr1WMiLmuvzZ3s7IE9mUePVGYLYmeyulyoswOV\nOXVyBxjoj1JRPb5GHJM5+xujYN4lDB7akbGPVKbIr52Fp3nqIr+ZwrVpN+qyIvSzqgk2tTHwRELu\nW1Cr0M+pw7dnbL/HF75uRpnjp9ep42Ee+B83R8apsvdOQP8jqXK4uYB5xUr0NXWI3V0YZ84meLYF\n5/bs+kuN5lL62/fh6IoFaiQpQiTkw+vswO1oZcay26mYfhWtx16aiF9hVNRYlmDVxawTBgItcVIz\nv3gDg8F2zNoSNEojB3ueo8ayFIWgwqwtpt/fTJFxGrs6nqQsfzbFxnpAgTPYSbNzF2ZtCVWWRciy\nhEZpIBjxcLRvE0ZNAdXmxeRpi5hfvAGAQz0vxBvucwWVWuCHj1XTdTaEuUDFl+6NGQ7+4luj2xBM\nBBQqBVJkfJnOpsfTG22OBtHrQFAokaIidUtvQaXSjes6xoorr+qbkOOq9HlUrr0Nnb08dadCgc5e\nTom9HMuMJbRv+hNhn4tZ1iuBhLrYfNvwgf6JxkVPXMRT7ejnTUNdbCXck0os1MUF6OfXEzicqCst\nvi5VkrH7mdHrbJ/6p9Roba7QuDk1suj3RHngWx1otEJctrWvM8RjP+lBpRbiPS2tTUH+55+zj1wN\nB4tNzeIrTSy+CMjKhejpPzz6oAzgFLtxisNPtlGXm55fPYwcujgiqsFg7gnz1383i9YjPp76yVn2\nv+4gEk7/kOs4FUClHdsXYM01uSnT8bglTh7P/LOIuF1oSssIORJSjZrSsmHNXfu6I8D4FKcK7dn9\njUJeJ5o8C+aGBTiP5VbeVW2a+FR8LiCLYfoeTPW0AkCS6PzOw0T92QserL3OwOwFuVMQk2X46+M+\nfveAi+g7p5R8XPDtzD57mwn00xvo/kNCGKfk9jsgS+KiUKoJBRP9DFJERKVOzDXO3hOUTrt8SoiL\nRVuCWVfCvu5Y5mNByQZcwa54FFqSoxzuTa7AGAy2E4g4UQlaTjq2oVebKTZOZ1937N5YWHIDJm1M\nGCFPU8jO9ieQ5CiLS96PUVOAL+TgWP/rXKL7CAd7JoZwArzwxNRngQWFwPxbG5ixoRZjkZ4/f+wl\nfH0Bpq2tIipGaNmavlQu12g9GPs7tx1+GZOtFq8zx8aYGcIzQSWqlVd/BJ2tFDkcxtV8mEBvO5GA\nBwEBpT4PQ3Elppo56ApLqHzfR2h+9kF29TyVcpzNHY8kEWiFoGBV2Scm5JovxEVPXFwvvo1+Xh2l\n3/go7tf34tt5FACFJQ/9jCpMa5cgCAKu5xONa0qzmc4/Tn4j1Vgx1GsiGpGJRpK3DbfwzAYWm5q7\n7q1k2jzjpJdHBX1RDm3zsO+t4RvsmjvempRr8e5JXkiqbYWE+6dGtx5gxbIvZzRu5+77Mz7mTz59\njPYTo/dEeR1hfvO14f2JhsOseRpKK3IjJ7bnbTGrBaN77y5sV1+HymyO97hYVqzE8VZqUytAX8/4\nJ397cXa/a8TtJOwcwDp/ZU6JiyY/fVbpnQY5KhEZzL5MTKmCOz6buxKxcFjmvv83yLY3gtjuugnv\nln0Ej7cAoJtVS95lC+h/KLZI1c+fjqbEhuuVt+PvL7v3c3R+64GU46Yb+38T2T+3QqIHjS7xGYeC\nHvT5dpx9sV7VaCSMSj01JqMGjRV3MBEFd4v9GDUFceLiCqZmrsPRACqFlqgQRZaiGNVW9GozC0sS\nTuRKQY0kR/GE+uMeZCEpgErIjKBrFDpAJiSlZgstmhLMShuiFKAv1EpUTj/ZDvRE4uViFbVa2psn\nP/M49+Z6Zr1/Gk3PN7Pg9pnx7bIkMe/WGWMiLjqbkaKFZejtw6ugDs3M5FkTXjeRUACdoQCvOHk9\nxhMNna2UsNtB60uPEfamElZnUyP9+96i8pqPobXasc5YiuPojqQxYUkkKieXFEoyw36/comLnriI\nrd30Pfgstk9ci+WGy7HckNxgFfUG6H3gb4Q6E5OJ5Hv3SzJmCkuRmsVXmlmyxjTphMXvjrB/i4d9\nb7o5ttszKvkqL15CR8/YzCBrzOndX1tcoy8aTWtWM/DniVXBGAmBQCppEgQlWq0JtcZIIDCAw5GZ\nwERp3bkGu7Ac/zkdus4EABCDEmcOZq8utiaHZWI7NmcXdXft2QGShOWyK1AYjEh+P4Ob38DduCft\n+P7e8Zdq2bIkLgqNht63N1F1Q/ryxvPIq5mBefp8tEVlqI0mpHCIYF8nA42b8Xe1xscVLLwM8/T5\naCxFCAoB+yVXx/cN7NtK367XAChavpbCRZfT/JdfITqSa6Crb/wUGouNk79PlFbaL30fvW+/gmX2\nUqzzLkFjshAVg7iO74sf8zwss5ZgnbMUjaUIKRoh0NNG/543CfaOHo1U5htQ5hmIuLxIY8iynMfK\n1XqKSnKTIg6FZO79hoPd22MLNP/eY+jmTIsTF/2cOvyNx+PjAwdPEjiYGcnPZuy7CcHmM5TcejvB\nrk50pWUEz2QvjON3dWGyTQNipYXewTaKq5fh6j9DKOjCVj4vKSMzmfCFBim6wGvLpC2ixZ+4T9OW\nbw3Z5AsPEox4OdD9HDJyrCdAljFpi4dXc5NlFIIKASHtOcp1M6jSz2O381n80cTfps64mGr9nPjr\nqsgc9rleJiynkpKv3lfKH3/Rz5G9fu76pp1v35W7Ko9M0XBtDdt+2kjbzu4k4jLY4sFcmb0CYcHs\nYpZ8aw1qQ3rlQVmS8bQ6U4iLfdolAAiCAr2pmKCnl1O7nsz6/OPFhBlQAt1vv5CWtJxHyOuke/tz\nVF3zccx1c1KIy9bOR9O+r82b6p2Xa1z0xAXAv/8kHac7yLtkLoalMwGZ6KCXYNNZvDsOI/mH3IQK\nJZWf+iKh3q74RJBJqdi7BZYiNUuuipGVurmTS1Y8jgj7t7hpfNNN014v0WjmEbe6irWY8irpHTiM\nw3UGOQtBeZu+lk7v0RHHmK64DPfmbVjetzZpu7q8LOPzTAQOHh5e0aygoIGG+usZHMxsAfCN38/G\n2RdGq1OgUAnDSon+y9VjzwLk5StYe21uan7DYZk9Y/DBcDXuwtW4C6XBSDTgH1G+tbd7/AEMW5ES\ntVognGHmU1Co8Hc2E+wbOUJYMP9SlDojvpbjhLwu1HlmLDMXUXHth2n+8wOEvbHyt0B3G2H3IBqL\nDY2lEG9Lwp04NNg/3OEzgm3ZVZimz8Nz+ijRgA+trQQpnEwuSi6/DsucZXjPnsR16hAKtRZzwwKq\nb/wUbc89hr+rJe2xddMrsd66Bm1lMQADf3wFz+b9KLQarB9cg3fHYcRTmYmnANx46/jkky/EL3/s\nipMWgMDh05jWrYi/1k6rxPnsZgDyVy/GuGIewaZWnH9/M+k4mrIirLdezcBjLxAZcKYdq60tw/S+\nS5ElCaXJSGTAxcDvnwNZxnLTVagKzagKzSiMejr/41fDXrNaMzGTuWXjKgJHWxBPjbxYNSxqwL9v\n+IZn57bNaCuq0NhsDJ5uQuzI/LM9j/6Og5TUXoJSpSUaEek9u4eiysXMueyu+Ji246+NcISJg0vs\nxhnsYlHJ+xGAgeBZXCOUJadDIOyi03OUhSUbkZEQEDjY8+KI75GR6fOdYknZBwhGPCnlaAWacsJy\nMIm0mNQ2qvVzEKN+zvj3Y1LbKNc1UK6fQYs/VfDovq908NlvFXPthy384EtTUxplLDLgbk8NpMmy\njEKZfcCi/kPzAdj331twnexn9QPvp/EHbxIOhKlYO428cjO7vv1qyvvO7EmURQkKJbWLb8r63LnA\nhBlQSjK+zuZRh/m6WkCS0FiKMj50syt9ADGXeEcQF4Cox4/r1V24Xh29D2Vw5/glGd9psNoTmZXJ\nJiuDfRH2v+mk8U03pw76xmxgdez035lZtxGbpYFwxE+v4wg9/YfxBUZvUOvxNdHpHbnRN9wXW+Bp\np9XifTvxPdLVD+9WP9VwOJoYGDhBddXqEQnOebQc8VFQquHUPg8tR3y0HPbSfsJPKIemkxtvNWIw\n5ibqvXubiM879muL+kd3eO7qGH/GRamCqloVp5syVNs558o5sH8b+pIqAt1n0w5rf/EJpHAycQv2\ndlC29gMYK6fFy8zOv19fUoUcjeA5MzJJzwZ5VfW0/PkBpEj6301fUoVlzjIcB9+m9+2EH4Xz8C7q\nPnwPxZetp/mpVIEJbW0pxV++FTkcIXi0Bd3smvg+SQyhqbRj0i+mL0PiUlmjZu6i3PS2bHrOz0vP\nJJd+yKEw4b5BVDYLgiAQ7hlADsX+Jp63GpECIuqy5Ae4HIli3riavgefRvIFRxyrrrDT9d0HkcMR\nir96O5qSQsJ9g+jn1dP13QdRGHTYv/zhEa9bp5uYid187aXIYnh04rJg+ojEBUBsP4vYHvu+agpt\nhAayI9bO3iacvYlzBH0OTux6nOLaFQiCAlffafracts3NhKGKoq1OhtpJfX86fpPTjliJexOMbmE\nrNt7nG7v8aRtLrEbV2+CBA0lJ00Dw/cK6RRGXJHk52TVuUzLMd82BkPddIunMalsFGmq0hIXiMV/\ncmUoPBZ4Or0UNliT1MUAalaWMXA6fQ/jSDDXF9L+6km6tsQW6dFQFNEVxNnUh+NwN8u/czUNH13E\n0QeHX1fKUhSNdryC+mPEBBlQytFwZoFhWUaORlAoJ8/gNxO8Y4hLNhC7OtAUFiFoctfAeTHCalez\n+CozS64yUzfXMOl9K/2dIR7+dhstx/w58fjsdzax69AvsRfOwV4wl3L7Msrty/D6u+kZOEyf4yjh\nSPoykzbP6OnJwLFYlNq37wC+/YmJW3sRExcAf6CPoqL0SmtDcf9nj1M2TU/lTCOVM40svMqKvVpH\nb2uQlsNeWg77aDniw9E9tvplnV7g/R/KXdT79ZdyUzesys/HtuEmuv+Umr7ubIsQ8MvoDeO7QWqn\nqzMnLufgaT5GxfrbaH8pPXEZSloAgn2xaKcqz5z9RY4BA41bhyUtAOb6uQA4jyWXcUYCPgI97Rgr\n6lDpjESCySTScv1lRN0+uu57lKjbT82vvpG0P3iyDeOihoyvc8XlufEM8rglHvx5+lIj/95j6OfU\ngUJIKhMbDgqNmtCZjjhpGQnhth7kcCz7F/X6EXQa5EiUYFMrtrtiEV3PGyNHK7UTRFwyRbZiCubL\nV9P3zF/HfV6vsx3vvuyzN/9XoBI0hKTEXKpR6LBpKvFEHAyGEmTIExmgSFud9hj/8rNynvj/+jmy\nx893Hqrk25+e/FKxA0+eYOU9C7HWxIjC9KursVTlU3NFOa/9545R3p0KpVZFsD8xL0UDYdR5iXVh\nz6426m+Zm0Jc6pbeEv9ZrclDDGRPmnKBiTKgFNQa1EYTYd/IJZdqoxlBrSGcRr6/1ryUVve+eE8W\ngFZpwKqroNs3NhnqTPGuJC7FG25GmZ+9qtg7AXGyssZM3ZzJJyvdrSL73nSz700XZ5sCOT9+KOyn\nvXs37d27yTeWYC+Yg806g2mV66ituAqH8xQ9jkM4nM0M1/hp1toxqgvxhR3xpskL4d2xO+n14NPP\n5vz3yCW0WjPRaObp4s7TATpPB9j5fCzSqVILzL/Cwsob7ay6JaZe89VVY+sl2nCzEZMlN9kWr0di\n19bcNIAKKjX66tq0+yQJzjSFmbNwfIGMaQ1qNmUr6iPL5FVPR2spIl0qUmMpxDp7GfqSSlRGEwqN\nFuGczu9k6OEDhJwjC1OozTF/oboPfXHYMUq9IYW4aOvKcL/eSNSdnpxKTi9KU+YkeMmluSEuf/qd\nF5czfbQxeKyZgg+vB4UC75bRvTtkSUJTV45x6axRpZ3lYaI7ynwjrmffItwzuhHseMn3eKHQpf8M\nLCsvx7l9K9arko36tCVTW4b7fwWxRv7EZ1Oqm46AQGcwtc9KJaSPnv/0X7ri/i0P/XBqLALOvNGO\n6A6z8PaZhANhFn50Jo5mN6/fu5O2XdnLMgcdfnRFiTkm0O8nv9ZKX2MsOBQNhFHnp5Y9955OkKRo\nNETAPTGyxKNhIg0oCxesonv7yA8024JVAHg7Us2/a/IXcdZ9AEgQF4Wgps609D3ikgl0s2qw372R\ns1/9OQBK0ztLVWw0WIs1LD7ntTIVZKXjZJDGt9w0vumkaxKVRjy+bqJSBEkKU2ybF/N4sc7AZp2B\nPzjAmfbXGXQl12lWmeZj1ZbjDvdRpK9Nb0ApCKjtRSguyMiJbVMXzTMY0tePKhRKTPmVlBQvxOlq\nTTsmHYoqtFTOMFAx00hlg4GKBgMeZ4SzR308fX8bbUdHL69KB51e4AO3586I67UXg4RCufUiGA5N\nx8ZPXGbMGVu6PBLwY124EtGRvBjQF1dQef3HiYpBnEd2Ig70EhEDqPRGKtbfNq5rTQdBmb4GRJZG\niead65Pq2fbisI7KEX+qQpigUiGLwxPu8xmHTKDVCczJkQTy0BKxCyGHI0Q9fgSlIn5tglJBwUev\nQ11SiKDTorSacL+wNU40+n/7DPbPfZCI20/odFvascNBodUiIFBw2zXIkoRCp6b7x4+lHWuyKNDp\nczf5C+rkx7+gVKRsS+xTop1egXHxDAYeTZ1TQ32xhZ2+uhb3noRpoFSTfTa7ouEqBroOE/CkXyya\nCmtRa4wMdOVGPv/dAHe0n0JNOfmqQkCmUjeLkCTSI55JGqdVGohIydnV4nINPR2hJNPJUHBy5uV0\n6NjbQ8feWMBRUAjI0tivxX1qANuiciCWyRw81kvNhpn0N3YQHPBTftU0gv2p84HX2TFi3+RkYcIM\nKGUZ68ylKNRaBg5tPyfkcv73FdAVFlM473JMdXMgGsVxeHjT2QshCAJqRW4CTCPhXUFclEY9Cn2C\nNUe9nneFqpi1WMPd91ZSO3vyyUrrsQCNb7rY96ab3vbJlUVUCEps1hmU2hdhMpYjyRH6B0/Q2dtI\nNBqiqGAmpUULmVt/C8fOPEv/YKJRuVBXzb7ef4x4/MJbbkJpMSF5E3W04hOpGuWThUUL7xxxfzjk\no7X1zYyO9YX7G7BX6zh7zMfZoz42PdZN63EfQe/4+zw+dreJAlvusgDPPTU2AjUWnDoeAsZX4jZj\ntgaDUYHfl13N8eDhndiWXMnA/uQFrHXeJShUalr//lvEgUQ00VBaM+ZrPD/npSMpqryxSSmHXQNQ\nXou/owVxMPNIbKh7AN30SlyvpKkfFwT0c+sItWX28K2ZpkaTo8b00XqqnH97I+m1HJVijfRpcF4K\nuef+hJP7cGPFB/8W/7n/3M+mtcsInmjBsznWM2HZuHrY67KX5PZxXfXzf0p6bb7hcsxDVDszhf9k\nbA72HjqA93CiDFdfW5/1sUqnXY7P3T0scTFayrFXLn6PuFyANv8RiixVLLVcF992wrsjSZpWQCBf\nacMvJZc9fen7Jfy/O2KlrOdLxC7cNpUYD2kB6HjjDLXvn41KpyYSDHP2xRNUva+By3+WkKI+/khq\n9UH98ts4tfOJ+Ou6pbckNexPFibKgLJ7xwuUXHod5mnzME+bhxwOEQn4QBBQ6YwI6nNBOlmmc8vf\nCbljXnNKQU2BLmFaadNXxUvFBASKjdPxRSa+rO5dQVwU+lgkruTGW2OvDcZ3rKpYQUkiuzIVhGXP\nJhdPP9CNo3tqzBlry6+g2DYftcpAKOyhtXMr3f37CYUTUZHWzm109OxhfsNtVJWuTCIumUBlMdPz\n4O9yfeljRnv79rTbJSmKKDpxDJ4iEsmMPNYvzqevXaR6dh7TFuQjKNJ/gf7tmuwchac1qLnpttz1\ntuzbLdLWknm/iFI/svyyQjeyGeaJo9n1pqS9BhUsXKph+1vZ1fk7j+ymcNHlmGcsStounOuCjQyp\nMzbPXDjssaSgH/UIvS9hT+wBoy+tTlI0y6+diUpvIBrMvrzTdfIQltlLKVx8BZ2v/ZWhJZoKtTZt\nr453834Kb1+P9Zar4mVXglKBptSGecOlaGtK6f3NMAaVQ1BZ8654VKUgcPg0BbetRze7DkEhEPUN\n//kUl+a2dLDr+4+gm1mDfnYtulnVRD2BYXt15HCYSJ8Tz9aRy+fce5NJav/zf8/V5cYhRUTU2txl\nft8NcEcGOODeRLluBiDQJ7bQI7YkjTGrixCAPnF4QqJUTW0p4uKPz6JjTw89R0cvm8wEPbvb6Nmd\n6NXxdbrZ+R+vUHvjbASFgr697bS9OopsuSCgNUyN6e9EGVAOHttDxOvGvmI9GlNBrOdFnZzRDg50\n07PzRfwXCMsoBAU2fS0F2hh5mV2wJuk9gYiL44ObJ+SaL8RF9zQwLp6R9Xu002JmQYO70y8AL3YU\nlmhYfJWZxWtMMbIyhWg9EZgy0jKn/gMUmKfh8rbR1buJfmfTsMoXkahI7+BRqstWJW0fFDtYUHQt\n7lAfJo09balY9CLz+Wk9m7sb/UefyJ3a1HkoFPDlb1pyqjbz9B+y846puufr4zpfe2uE/l4Jm318\ni7/FK3RZE5eoGMR1rBHrvEuStvvaTpJfO5PydbfgOnkQQaUhv2YGCo122H6IkMuBZfYSZClK2ONE\nodES6GnH3xErmfSebSIS8GNfsRZNvoWwx4mmoAhT3WxEZz8qXfbkM9B9FseB7RQsWInGbMV79iRS\nSESVZ8JQWk2wv4vut1KznJ4tB1CXF2FetwzzumUAFHwo0QPhemUX/sbMgg5Vtbl5VF1Y6VaqrCVK\nhN5oGzWq2TilfpxSLKNUp5rPmUh65aVcItzjoOf+J0YfCEyfmVuxmVB7L6H2XtybdlH5ky/jeW03\nrpezb4BOgiAkldgMV1o4Hmj0ZqTI5D+jbv+ogY036fjQB2KL6qefLeSvfw7wh8djQbVVV2ipqVPy\n2COZC47c+0MzTz0Z4MD+8f8+g6HupEb8oXCGe9nquLgDuLNvmkbnvontJ3Ge6GPfj9KbXefbaiif\ncSUGSynz1t0DgEKpZrAz98/VbFBUpCQYlHNKZDxtTXjaTqK3l6O3lcefDeGAh0BvG8GB1O9SWBI5\n5ngDAYFV5Z/g7a4niJ7LuMhIWVlYjAcXHXEpuvvGMb9X7Iz1KSg0WqTQuQigIKDUTnzNXba4mMjK\nxQKzqYrGo7/LSP44BoFoNDnS2+JqxKItwaC20uIepgFdoaDkK58n3NUdX8n0T3KpmF5fmPV70hlV\nDsV5Y8lc4sYP5dEwO3dyiKebIkn+GZmg56+ZLe5Gws6tQTbcPL577bKrdPzyJyBlWXnnOLgDy5zl\nCIoEcXIea0Sh1WGZtZSSK24gGvDjaT5K3+7Xqd74ybTHkWUJX/sZzA0LUWi0RPwewu6E4ktUDNL2\n3KMUXbIOU/08BLUasa+Lthf+SH5NA+YZ6Y1aR0PvjlcJ9LRjnbucgvmXIChVhP0egj0duJuGX+A7\n/rQJ357jGJfORGMvAIVAuHcQ766jWfm3lFXk5lHV05n44AxCTLmolzYsiv+fvfMOj6M89/Y9s127\n2qLebEu25W6DG8bYYFwIhBIIncAJhJBCKqmknISUc0JCCl9CICHkQEKA0HuvBvcmF7nLVi+rur3N\n7sx8f6wtaS2t6q4sO9zX5cvaKe++K+3MvL+n5hJS42LaIRbQpST23zEJmWSKdkKqH59yzKslWLCI\nNtrleKKvWbBhFjOR1Rh+1YsOPUHVh4KMQTAiIB5rHiiQKdoJKj6Cqg+LYE84LqL2L4ynz0lfSVKp\nMTXJ2PlX30DrMz1hc3lXXkvb84Mvlh0FMzGYekIZ7XnTEl4fx2C0kTNxPr6OwXtQpAOtTsBmE9Hr\nIXxCHsi6jyKsS7+xOeXkFWl54LV4YROtTuCB18rQ6k6S50WFsHtsQ9N74+uo5WDHPyhbcCW1O188\nNiX1pOa7XHONiR/caQWgtVXmwb8FeOmlVD3nVUJtjYTahpfjq6Lij3aiqAqKOvYG4HEnXAA6H3sL\n3/rdQz4+c8V8sm/o6SSdf8V1tDx9rCyqqpL3qWt7Xo8x2YVxgbJolY1JMwcOZ0k13s4Ye9Z72bXO\ny8HtfmJRlb9umDumcxgOGyvuHdbxjc6tNDoTQxNmZa/GqMlAUkJkGYsTqopZFsUXbeGDVYQPVqHK\nMtHWNqTmxBr7Y0FhwcK+2woXEPA78fr6b1pYXfN2v9vTSU6ehi99y5rSMb/+2eEvkoJHRl+l5MF7\nPaz+pGlUCc6ObJHv/czBb37iSnpM/cv/SHhtyhAI+T0ceuiXfY7t2rWRrl2JnuI/PZTFN76QvAlh\n4xtPJN0HEOlqpfH1x/tsDznr+e/PV/CNf/Zs692XZTB8NQfw1QxcOavf+RxpHJZI6Y/c/NS4+yo2\n9yyKBEEgqkoUaCbRpfRYF12Kk3n6Zbilnv4jk7TTiahhPEp8W6l2Ji6ljXa5iSyxgJAaYIK2nNrY\nAcp1Z1IpbSBKmJm6JeyPbqZct4C90kYKNKUAOOVayrRzaJMbCKrePsedyLwFBuYvTp8BrvXe0RkG\njJPKcJy7EkNhIRO+egcAgkZH4OC+IZ3vcsa/VwaTnZLpq4gEugi4T2yCqOKWDlN/8O20W3aT9O3l\nlRfDXH2tCYNR4PlnQhgMPQdedLGRyVO0PHBfXADPmavjF/9r5fqru5Aklb88ZOeeu/385GeZ3HaL\nC0GA8vKxb5oSF9A9v78vfqJ6gKPHlhe+9B7n/+gsWna303Gwi5iU+Hdurhjes2P2F5dQsHwS79/y\nTHe+zIIfrKRg6QQA5IjMpjtfx1uTeD+vqXg+4bXRkk3YP7jhMNW8+EI2D/09kJCIf8klRl56MZvL\nrxj7+fSmYpBc4nQyLoXLQHG+/aGEEi1UgiiizbQS83nRmi0I2rH9mDmFehasivdXGWux0tYgsXud\nh10feanem5r+Kla27OEAACAASURBVOMBkyGLM2bcwObd9w94nFFrpqK1//LGWvsJuQFaDZYliwkf\nrsLzfv+u43TRnwgpLFyAy12d0tCx0aA3CPzknqyUj5uG6JEhIUVUKrZGOGdF3/KXw2HZ+UYc2Rpc\nnSMveHDFNRlcdKmJiu0Sf7svXpGrbIqWG2+xMG2GjrvvjVubf/wdN4oCl37axOpPGBFEgTu+FA9V\nufteOxXbo8ydpyMrR+T733ARDKh8+4dWJkzUYDQJbNsk8fCD/qRjz5itZ39lPEzl57+289TjQfZX\nSknH7j2PPRXxsZNhv+I81FAEz1tbkh4zVIwpKgMcCiXeEL2Ki1LtDGpjB9ALyYXBweh2zIKNWbol\n7JTWEiOKhrgHRCZGSI3/DbPFQg5H44n2CgpB1Uuxdiqdco9xRCHxe5PsuN4sWzW2z5HhEq6roaWu\nhtxPXUXHq/HCA6o6fEt1JOQm7G8nFOjA5zp5yeG6JB6Ho0djfOIiI4oCu3dFKZ00sPA4fDjWXTnR\n1aViNgscPSJ33wNrqkdfNGU4ZOtLmGddyQcd/VeuO9lc+6+LAMib2f9z55GLXuh3ezKy5xXg2tfW\nLVqy5xZQsHQCNS/tp2V9HQvuXMHkT89h1x8GblpeOG1FHzEzFhQVadm3L9GjsW9fjMLCoa9pBY0W\nY3bBoF6VjPyJ2KctwGDNRpElgm2NuA5sIxbq/x5/VsHV/W4H2OpMbwTLuBMurfc/h1TTv8U5GUoo\nMT7UtfFDim64FSUcRGPKoO3tsVGGOYV6vvA/E5k0YwwfMmo8L2XXh152rfOMabnisUSnM6LTDh6f\nH4kFEQVNQlOk47jf/aDPNkGjIf/228ZcuIx3RA1867/tTE9hiBjAzlHWnh8ta98KjVq46A0CV99k\n4aE/jrx6yovPBAkEFMqm9Px+a47GuPvnbh4/I5cffqsn/KuoRMvqC018+/YuVBVmzNJx8FixgWhE\n5ad3JjYHu+93PqJRFY0G/v1SLo/8zZ907IE4cewT5/H7BxwJczmRzHPmEtpfO9RfyYAYUlRRLBxO\nVM1+1YWA0C0mDIKJIs1kTIKVMu1smuWjCGiYqJ1OTI0SPCZQnHI95dr5ZGnyORLdjYCIRbQjIJIh\nZlIT3UuMKC1yLQv057M1MrBna6DjRJFRf2cHw3HVSgJb9o06ZMyzaf2o81o6mvYSiwwvBy7VJKtg\npyjxejmxIZZx7y+kdMpUDccjRicOInxSTbIeLuOFJ64ebqOsgTFkZ9C8riescOJF04i4Qhx6tAIl\nptC0tpqiFT0luwumLsN5ZAPFM1cnjGN2nJx+RC1OmdmztNTW9oiX2bO0tDiHLnjNhWVM+MRnCHc6\nqXn5b/0aE7LnLCXvrAvoXQ0qo2gyWbPOov7tx/sVPe2hHk+dRtBh1mZhM+Rz2DW00smjYdwJl1Bl\n30Y3gxHeX0vDd+/rGaO+hvq//wmtJRM54EeV02fVyC0ysGCVlQUrbWMmWBRZ5XBFgF3rvOz6yIu7\nffQVk8Y7Gs3AYRJzcuJJv3rRxJKCa/FFOwGFvR3vDj54sriA/1A0WrjzFw7OW5Pa73MspvLXPwzc\nqTfdbFwbxtWp4MgeXZL+JVdm8PQ/fUkbGaaS0jINxRM0/O7+eGWbxx/uSf7dszvx2jcYBL72HSsm\nk4AkqVgyRUQNyEMIQz6x+MKJY584D4CMjOS/R9FkIJqi3IlIivr9iL2q7B2JxsORK6S4QeO4DK2J\n7aMmlhjiVBXdhYiITPwXGVMlDkS3IBL/pU3STudQdDs+xU2xZgpWMZsuxYmKQqfiJEb8d+mUa7vH\nrIn1lPM98bjeLF1hJDc/vc1IrWsWY12zGKmpncDmfQS27Uf2DF88SO2tIAgIve6pwxUyzpqTX2TH\n5kj+TKhviBHw9nwfNVr48U+tlJVpyDCL5BdoePih5KXet2yO8uDDDlqaFRqbxtb9rBnnwiXiT23R\nBUEUkIPxa0pn1pO3eAJ1rx1AicV/75GuEAZHj1Eg7I+Hglpzymir6QlDl6PD70eUCp56Msidd1rp\n7FIRBJg9W8tn/8vMn+7r2zcrGZYJ5QAokWC/osWUW0ze4rhoiQV8+BurUFWFzIkz0GZYKFl1HdXP\n/xlZSjQ61ngq+ow1KfMMsowlOIODVGobJeNOuIwEVZaR/YnhZYa8QkSDnpjPi6DTo0ZTd0EcFysL\nV9mYOH1sxEokpLB/i59dH3mo3Ogj6BtbF3OqmVF2ybCO1+sHzrNo8FUOOoZt9fkJD1Q0IobSSYQP\np/ciO5XQ6wV++CsHS89LvYX3mUcD1NWcXJEdi6m8+VKQG24dXTlVo0ngM7dZ+cvvhua9GCqqEm+2\nKIo9IXW1NTJtTpnvf92FLEOv/P4+fQ7mL9KTaRX42Q/cWG0iqy4wDjh26FhPGq1WYPLUxMfBiWOf\nOA+tVkAZoM9CrMODmJmawiOpaojXOydhOKgoyPRdZB731LiVdgo1k8kRJTSCFme0jjzNBHLEYqpj\nA9+bBjvuyhvSX/q3819vYF44E8P0STiuOh/Hp1cQPliLf/M+grurUKWhXbf281aSOe9MRKMRQRCI\ntLbR8ujf0zz71JOd09cTcrx62IZ1PQu4DccijH7x0/4NMj+609Pn572VUR58YPRzLDRORVUVnJFq\niozThnROlr5w9G+cRuyTrDhKrehMWiSfROdRDz7nyPt9hdoDmCfEQ2NLVk9FY9DQ+F6PcVxnNdA7\nXcrtjFc57GzcTWdjT9ERa97JES5P/DtITFa5/8/xz9DVpfCXv/h59tmhp1OYcuKli711B/vdn7dw\nFQgCEXcHda89ghyJf8/bd7xH6WVfQG/NwlY+n659g1ccbA/XMck6f9DjRstpIVxOxLFsJcbiePJV\nuLGegitvoOWpfw5y1tD55TNDu0mkgg2vutj9kZcD2/1EIycpOSAN5GbNTul4x5PwBYRjlXv6EnN5\nEvqaqIpMaP9BIg0nJoH+Z2I0Cfz0N1ksODv1ScDNDTL/fmToVqJ08vqLAa672TLq8s6XXZ3Be68F\nOXxgYKPIH/+W1S0UfvZ9N+0dMnf+xM7EMg1ms0B+voZ//t1PfW0MRYEP3gnzwD+yaW2WuesHbpob\nY7zyfIjf3e9AUeBH33YTSbKQP7gvyk23mrn7XjtdnSpHj/QsOPsbu7Ymxn1/z6KzQ6G2emC3zInz\nEAX4wbeSz8W7tgLrmsW4X9s45IVvMpK9x3AZyJI+GuKllDsStrXJDbTJDUnOGNpxc+YbmH1massg\n94d/YyX+jZVoMjPIWDAD86IZGGeWYZxVhhKWCFYcJrB1H+HD9QPmrZjKptLwwB/J+eSluN5/B8eq\nC5IeOxAGow1rzmT0JluisakXjYf7hv6mipJJ49szATDNvAQFGWekmumWJSd7OqMia4qdZXfMJ6e8\nbyU5554ONv5pJ57G4XsAW9bVUH7dPIw5GeTMK6R1SwP+xh4xaZlgI9zRVxi11WxLeF27s/+82bHg\n6adDvPNOBINBoLVVHnbessYUD7GPuPpWazXY88goiouyti1vdosWiFeo7Nz1EYXnXUHmhGlDEi4G\n0dxvmH6qOT2EiyAgiAKqHF8dmCZMovnJf1B47WfjYWKnWIZ6R5PErnVedq/zUrVr7LqLjzUHq1/G\n5RtaWUtH5mRmTL5s0OPm5l7InvY3+90XqBhe08V0cs7S7/e7vaRkKcXFZ/e7b+Ome9I2n7KpOn70\nK0daGv0pMvz2LhdSZHxch+1Omc3rwpxz/ui8SvH+Nja+8bn2AUOxvnhT3+ovv7oruafmT7/ta719\n67UQb72WaGXrL1fF7Vb42ueTN287cWxVha/f1vf4ZHkw/c0jGb4Pd6Kxmin4zvV43tpKrKUTtZ9f\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8jroHrzt+OnLlZyycfZ6R2fP0aMb4Cn/yET/PP5Fokc8xT6bVd4hApIOAIX7zV9VeD2FB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\nIYo6RJ0OyWSjvHk7O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gHah3dOeA1/EBHCZQaUXZ82F3p2dHDkh1uy3ov0+/Ee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\nbSr4KBUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x29324632be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "overall_cloud = WordCloud(stopwords=STOPWORDS,background_color = 'black', width=800, height=400,collocations=False).generate(' '.join(str(r) for v in parse_words(bands['Lyrical Theme']) for r in v))\n",
    "\n",
    "plt.figure(figsize=(15,7))\n",
    "plt.imshow(overall_cloud,cmap='bone_r', alpha=0.9)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Wordclouds for each genre"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Melodic Death Metal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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P/CxYLViWlGFbPZoFM9HnIXq2Y3YEBZpDh2kOJws39sVbJ6zjMp94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/ifbuI2RYCjCbcpDl5E63qNETDvejoGA2ZhMM96IRdRgNDkIRF7F4BIdtAcFwD0a9HVGjx+tr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fLaUaMpZLsZPZlBdlrR4mlKNjcQPdeHIApoCQXZaUUJxm8JB45eHuba907Q/NGNUw+eAEog\nQe/+K3T97CyZ2OxFITqePk3wZC+tv761oEm6GNRomo6nT3P9mXMY+tzKNJO9EQ794Y+pvK+F5g9t\nwFY5Mz+y8PkBQmfnr6R8oZGJpDnxP1+kfEcDTR9cj6u5dOqdxsDQs5z5+1cZPj53n61Uf5TDn/sp\n9379I3M+1kzR/cIlVhUhLgtVJqZc6SD07z+h9Ldy79W2Ze28EJe3vn22QEOqfV/u/h/tjnHqWznB\nCkEURp7RoWthwh3TD+j9suO2IC6Bg/twNC5DNM9PLedNjO8fsYh2nJbRtHEWnXBqagYcSHWMEhdL\nRUHGJaVP3U+g6mlscr4EoVmenvToWAgINHq3zHi/hYLn3Xej9g4jlbjIdPRiqvKj9gyA2YypzIva\nHwABTNXlyB4HeixJ7NXjmMpLsK5qJtPeg9I5u4dQOlNIGBs+/mnMvumVPNyEoetc+cr/nPH5VUMZ\nybTcRDg7SDg7uSHbTGFkDYauRCctCRsP2/pVJN48QfjHz+Vt18IRlI4uEATs61ZNSVxiHeeJdYyq\n/kSunUEQz49mRWNhMuEhsmOUoSKXp1e+IlntyM7ZyXJa/JWLQlxEuw1TRSmZ630Yuo65rjL3e78B\n+9Y1xF8/hqmyDLmmArWjF9FiBgP0SC5K7bg7n0ykz1/FuWcHoe89g6FqCLKMFgijD4Zw795B9KVc\nGa25pgJ1IIChTY+w26rqKd/93qkHLgLmu0xMjyskOgNYy11Yqzxk1SzmUjvZtIZoEkm0B/BuqEO0\nyJTvacPid5G4OkiiPYASmF32YKZQYwrXfnCSvlev4lnmx91Shq3chdVvx+y1I1lkJIsEkkg2o6El\ncr0Vyd4I0avDhC8OET7XP29eINFrAY7/9+dxNpRQcXcT3pUVOGo8mFwW9JRGajBG9FqA4Ikeho52\nkVXnz3PFyBr07b9C/ytXcTWXUrqumpLVlVhK7ZjcVkyOXCmZntFREwqpgTip3ijhS4P07Z/+b+fQ\n534yb3OeKwYPdTJ4qBNXk4+yLfV4V/ixVXuweK25vh89i5bSUGNpkr0REt0RwhcGCZ3tn3FZ3mRQ\nQkkOf+7HVNzdhGdFBfYqFyanGUGW0JIqaiKDGkkR7woTbw8SvTI89UGngYHXr7HiN7YhjekrykRS\n80LIJkL6/BXU7n5MtZVILgemSj9q/xxFAGBagY7x1+liefjcjrgtiIujcflIqdhCwmOtzOs/iKT6\n0I2pS2UCqU6aS3bkjmEpxzSuMT6tTs2kU1oEtyW/v2Y2ymAtvp0Fx1lMZOMpJHeOgFmaa4juPYL7\nwR3o0RjKlS7UoRDuh3YQffEQ7od25MpjANv6FURfnH5z5x3MDKLFRKZz4geCer0HYfPaWR17fCln\ndpycraFPb4Ej22ZO3G9CmuW+7rIm0rFhMsposMFiL6Fx7Xtw+OpQ03F6Lu4n2FvcFFIwy3geexC5\nvBQMAz0UZeCL/4LotGOoGqLdSuWf/g6IEuEfPo8Wyt0bEq8fo+I//wcMRSHx5mm0wKgkbuTpF/G8\n/0EqPv87CJLAwF/9C0ZSY/hffoj38Qep/O+fQZAEtMEgw1/7AdOpRBRNZioefP+CSx3PFsmO+Y2y\nWspcSE4LkVPdpPrC+DY3oIZTyA4LajRF7MogtroSZLsZZShG8noQyWoidmV+gwzTQao/Rqo/tmRU\nseKdIeKds5donguMrEH0yjDRK8O0P/3WoszhViPWHiTWvnglzgCxjhCxjlv7nQtF7kV9+6/MOYM3\nFZTLHZhqc4Fn0euG+SAud7CguC2Iy0L1uIyHe1x/Syg9PaYfVwIoehyL5MRtrRzpd7mJ6ZhPhlLd\nBU3+M4GAQLNvR1EDy0WFAKnTV3G/+26UC+04tq1Bj0RBEMjeqNnPxpM4tq9FNMtIlaW5KPVAAPee\nrShXu1E65kft41ZjIX1cyppdZBIq0YHZye1mOnowVZRN+LqpqoLM9clN6xYc5kJFn+lCkGe3b2n1\nGgY6j4wQF0GUWLb1o1idZWS1DBa7l+aN70dVYsQCRdTawjEG/+4bxedkkom+8AbRF94oeC38k72E\nfzJaphDbOyoukE0rhL73TME+WiDM8BNPzvQtAuDbei8mb8nUAxcBWjRMJjQ/Udyb6P5Rfo9csiOI\nYRh5vXGD+y+O/D12+x3cwR0sPKoeaM3LtgD07lt4gQ49Nro+k+xTq7FKLgfWVcsxN9dhrq5A9LgQ\nrRYMTSebVtCHg0Sf2YfSObPnZ+lvfAjr6uUTvj7whS+jBYtbH0yEyv/ye0glOeGnvv/29yM9P95H\nH8LS2ojodiJYLRgpBS0QInPtOomDx2d8nluN24K4LFSPy3hIQv5FM5F/SzEEkp1Uu1YXHAMgpU5N\nXALJDnRUJPL3b/Pv5nLgtTx1rfHw2epoLNmGxzKqdpJFR2TxVYJir+QWDMFv3/BjEIQCs8P4wbcK\nt3f1kxLFOdXvLzYW0sfl3v+wgvotZfz0vx6n/eDMo8Lhn/2C0t/8KM5QlNS5i+jROBgGsseNbU0b\nto1rCDzxnTnNca4wMrMvfzAys6vvd5TUknzrZyN/l9Wux+osI9R3nmsnnsbhqabtrk9S0bitKHG5\nHSDZHHjWbZ964BQw9CzpgW6UoX7U4BBaIoaWSpBNp3JmwbKMIJkQZQnJ5kRyOJHtTmSnG3NJGSZv\nKaKp8H55K9TEbpKS8eRkou2/TPA8vAvn/dsJff9ZksenNpCcKar+4g+QnKMZ0dB3f07izV+ObMod\nTIzad+ULxUQuDpLoXvgFdM7YPIfsJAaeltZGnPdtx9rWUjRTLZhFJLMJye2k7DOfJH3+CqHv/4xs\nfPYiS/MJU3kZme5ePO/dg+Pu/HYCwWnH7LRjbqjBed92or94ldjewgDbUsFtQVwWqsdlMmSyKWLK\n9KN+wzeIy3iohoKWnXoRldFT9ETOUO/Jb8yscrZR5mhiONFOLDOEpqcRBAmTZMVp8uG11WCV8psX\ns2ic6vsZK/17sMqz6xFYMEy0ICi2/TYmLbCwPi5lrW60tE7X8dn1cZQ89m5EqxXvo+/E++g7c5//\nmJuxoan4P/0JBHn0FtH9J1+Y05xnCj01+xu+lphdX4LZkn8t+es3YxhZus69gGFkiYe7SYS7cXoX\nVwFoLijZuLMoYZguUr2dRE4fI9F+cY4N9AImjweLrwJrVV3uv/LqX3oZ5NnA9cB2PI/sQRsM0P+X\nX51wnPvBu3C/5360oQD9Xyg+zrqqFcFswtLWtCDEJfaL15FLPAhOG7bVs68yuIO3D3zrqwtU5Lp/\nceGWnDtnBZCDEU9MOM62ahnWlcXlqQ1NzynwjXmGWle2UvbbH2PoS9+YVnl04tBx1K4+RIcNwWFH\nctiQ/WVIvkKrjNlArizDftcm7BtH16nF5o0o4n74ftB1Yi8vzXL9JU9cnM1tOFesufHBGsQunr4l\n551JtgUgnOpGR0Ma95HORFGsI3QEr7WmoEfFJFiocrZRRXHp2rHIonFm4AXC6T6Cqa6iZOoObg0W\n0sfF6pAJXo+jKbMrm1SHhlGH5rccZ76hp5NosQiya+Y37nT/9By7CzDmBm5zV2D3VBIeuEgmPXod\nK6kodu/MjBqz8STdn721xK8oBBHXytmVk2qJOIP7fkpi3vpPDNRIGDUSJj6mFHixZKxvZ6ROnMfz\nyG7k8lJMFaWoA8UDGta1uVKU1MnzRV8HSJ+7guT3kT69MGpOY01STb//6wtyjju4vdD84fyAbSaS\nZuCNjltybnNrIwCGppHpm7h6If7qmzju2QKCgHL1Oulzl8h09qD2D2EoGRAE5BIP1jUr8DzyIACm\n2krs29aTOFho5zAe6fNXSZ+/mrfNuWsbnkcemv2bGwPXO3YhuXKZzsDXv0+mvYtsWkGQJEy1lTjv\n24Ft3ega0/XO+0gePY0+CZlbLCx54uJauY7Bfc+gpxI3Gm7H6czNEWktWjQrcS0wMwM73dC4GjjA\n8tJdedvDqenXOeqGxrHeJxEFiUbvVmo8a5GLlJ6NRxadvth52kNvouqjPQ9Xg4eocq1cVBPGX2Yc\nybxIo7wKxUhyIvMyAF6xnC597uWOb/28i/WP1mMvsZAMzbwsKvRkYc/EUkTvz75L/cf+4wyayA26\nf/QttNTsbraB7rcob9yCoevUr3kYJRHkyrEf5o2xOcvQlKV3M58OKna/F9k+M+GCrKJw/ftfRY3M\nX7Ou1eymwbcVr6MWi8mJpmfIaAlCyS66AsfIZGefbXNZy1lb9yiX+vcxHLs69Q4LdEynxc+W5o9x\nqW8/veGFDbhp4SiRH+/F8/4H8X38EQb+7t8K53PPZsz11WgDw0SefXXCY0Wee5XIcxO/fgd3MF8o\nXV/Nhs8/iGAaLWtPDyc48HtPzatKXTGYG2oo/c0PIzpyHnqBJ743qW+ZFo7Q88d/OfEBDQMtGCb+\n6uEcYdm0BgD3e3ZPi7gsNCSXg8zVTob+6dt52w1dJ9PZQ/CbTyE67FT+2e8jSBKCScb7wYcJfGN2\nfZQLiSVPXIJvvkrZXQ8gWGxk00kG983vgutg17enHjRN9ETP0BMtrjY0E2QNnWuhQ1yPnGB52S5c\nZj8myYosWjDIomVVFC1GQg0SSfcxlLiWR1huQssqvNz+z3Oez/72r8z5GL+MWEg55EPfvELjNj8P\nfGYVz/2vk2T12ZF56/JmbOtWIvtyjdpaMETqzEXSF5ZGuY4SGCB49DV8W3dNPRgIHNw/J+PC/vZD\nrH3g93J/GAZd536RV8ZotriwucqJDi8NxaeZwl7bPON9Aof3zytpsZhcbG78GGAwGL2EosYwyTZc\nlnIqPSvpGJpZ0Gg8YulBDlx+Yn4mu4DHnG8kT53H8/49mOoqkbxu9HB+tt92I9uSLJJtqfjj38ZU\nlZ/pj/78ZaJ7D0x8QknEsX09ji1rkav8CCYJPRghffoy0b0H58WFfCwsK5pw7dqCuaEGwWYhG0ui\nXOkktvcQ6phIuezzUvlfP03qzCUC//oUjp0bcO7YgFxeBqKANhwkeeQ0sVeOTFiOLFjMOHduwLZ2\nOabGGrIphWwkhnLlOvHXj6INFV4P053fdPBbf9lC0xonmXRufoNdaf75c1NnwFZu99B9OUksODPj\n4IWExWtFV7LoiophGJjsFpxNJVTuaqF69zIEMT8odeGfD5DNzDNpEQREsxnR7cBUU4ltbRu2tSvg\nRn9L8uhbKFfnr2dRG6NMJlotCJI0bTXNhcRUpV/ZRBKtdxBTXc67SfLOT5nafGPJExdlqJ+BvT9f\n7GksCrSswrnBF2/5eZt2fAhvzcqRv6++8e9E+5fGQvYOclBiKk/+4WEe/cJmPvaVnZx9ridXOpYp\n/iDuPTPuQSuK+D78Puwbc5LH2WQKBAFLSyOOrRtJnT5P4N9/tCT6jAKH9mNkDXxbdxU85G4iq6oM\nv/Y8kbNzi2wpyRCD7YcBgWDvWeLhfGVBR0ktydgAw92niu7vdzSh6mnC6VElPItsR9GSWE0u0moM\nWTQjCAKqruCy+MnoKRQt15NjM3kxiRZiyiCiaEISZGyym6gygCCIuC3lhNN9mCU7LaV30xs5TVQZ\nwCRZqfduYih+lYhS3PfI7C1Bds/sQaQlE0TOHJ3RPlOhyrMKk2ThWPv3iKXzF3SiIJGdpfHuLzv0\ncIxMew/mplpsa5bllWSJNivm1nqgeJlYbP9hTBVliA47lrZmZO/kpo+CxUzZpz6MpaUeMNAGAhiq\nhuwvxbl7B7Ytqxn+p+/NjycG4H3fbpy7dwAGejiOHh5GKvVg37wG24aVBL/904L3Zaoow/vBd+G8\nayN6Iok2OIxY4sZUVY7nkT2YqssJfudnBecyVZRS+qkPI5fmgjlqVx+i24mpugJTdTnxl4/My/ym\nwve/2Mnp12bWnH7PY35++k/dS4q4lKyvYc0f3Ag8GcAkyfPu587Pm29L1Z//4bTHhp98dl7OeRMF\nXlqyBItMXAxNR7k0dVBPj8YwkSMuom1qlbXFwJImLt67d5Hu7sK1bgOh/S+hp5JIThdaJHcxW2rq\nAAN1eBhDUzFX16BHo2iRMLLThWAyIYgimcAwotmMuaoGpadr5EdlLq8kM9iP5HQiWW0gimSGh2a9\nWGvY8hiJYBfD1+b3QX+rcf3YT+k9u5+SmjaqVu9e7OncthCRaJBXUCbVImPioPIMbtGHTXAyoM+s\nh2o8fvM79+EosyDe8L257/cmF2H4hwfzjSRdu3Zg37CG6PP7iB88RjadKzcTbVacOzfhfscDuO/f\nSXTf0lAWCb75MrGLp/Cs3oytpgmTtwTRbCGbyRA+dYjI6aPosywPG4/r516Y8LVQ/3lC/dNfgFS7\nV2M3eegMH6fCsYy+2HkqXW0MxC9R6WrEMAyq3atoDx7GYS7DZSknpgxiYOA0+ahwrWAocRUDA7Nk\nAyH3fec8D7Jkb5i23BTsyE5i4mLxV0973jcRO39i3iOFkpQrf01mCqPW40nL8srdXOrfl7fNZa1g\nc9NHuNi3l77waPP4iqo9VHlHe/ou9L5Af6R4g6/XXkNd6Wbctkpk0YKqp4ilB7k88HKece10j2kx\nOWktv48SZ24hH4h10hcurpQlChINZVupcLdhMbnIaAkGY5fpGDo0qXrkdJA8eT5HXNatyCMu1lWt\nCKKE1jeE2l/Y25Y8MlrK5vv1x5A3riwYMxbeD7wDS0s9at8ggX97Gm0o5zsimE143ns/znu3Uvqp\nDzH4xa+TVWan8HcT9i1rce7egRYME/rmj1E6b5hCiyLuB3bgfu/9+H7lfQx09qGFRhf6st+Hs8xL\n+IfPEz94YkSAxHX/NjyP7MG+ZS2xfYfzsiGCxTxCWjLt3YR+8OzI5yX7vJibavPOMZf5zQb+Wguf\n+mIrX/iV3O++eZ2Td/1mNT/8352879O1tG5282t/1kQmY3Dk2QAHfzY04T5f+WyuZPmDn6un51KS\nTQ/5cHhkTuwN8uK3+mlc7eR9v1uDxSaSiut8/4udDPfM7bucjLQMHbrOxa8fntvxZ4iskiG+9w0M\nbWb3OMnjwrKsCXNVOVK5D9FuQ7LbwSwjyCbEacgq32pog4Fp3cvzfHMmCBQuNpY0cQEw0imymQyG\nkUVyOCnZtZuhnz2Nc/U6sqqKY/kKhnQL/40AACAASURBVH/xDJLDiSBKI6+7Nm8jM9iHrbmV4Eu/\nwNB1bE3N6JEQajiMrakFc5mfzGA/3rt2gSCgR0JILjepqzNvShRECU/VMkw2121PXHRVQVcV0rFb\n7zz+dkKzaQ1Owct17QLL5FzzYcZQaDNtmTNxkcwS6ej0HNKLwbFtA4kjJ4nuzy8FyabSRPcdQPR6\nsW/ZsGSIC4AaCTF84KXFnsaMYJM9RNID2GUvA4nL+J2tmCQbipbAaS5D0eOk1BiCIOOylDMQv4Ci\njfZ3hFJdhFK5CKTL4sdqchNO9aBoCRQtOaJ8qGjxvL+LwVw6c2Pa+NX5V/aJpQYAqC/dTPvQ/KnW\nXB14ja7gcUrsdSyrvH/CcZWelayofpB0Jkp38ASKGsdqcuG115JR88nvdI4pCjLr6x7HanbRFThO\nWo3iczSwsvqdRcevrnk3XkcdPaFTJDNB7GYftb4NuKzlnOp8GmMOPZypUxfwPvYglpZ6RLuVbDJX\nQmxbtwKA5Mlzsz72TchlJTi2rgUMgt8YJS0ARkYl/PSLmOuqMDfW4rh7I7F9c/iOBQH3w/cCEPre\ns6OkACCbJbr3ANZVzZib63HcvZHIz/fn7R4/cIL4gTFZWMMgtv8wjq3rkKv8WFrr84iLY8d65NIS\n9HCM4a9+P490acFwob/FHOc3GT7yxw089vt1AJx6JcRP/nHiTMRQt8K/fv4qf/yNlXzrf7Qz0Dkz\nf69ND/l44j9dIZPOIskCJovIBz9Xx5c/e5lUTGPD7hIe/8N6vvZH8y/YYKg67U+fpv2HJxfePd4w\n0GNxMp29KJfbSR07MyNibWlpwPWOe7E01y9Z896JkF2CTfazxZInLiZ/OdHDb6AnEtiXtyFac0xW\nDQziWL2ezEA/hqpibqrC5PGOvI4okLhwHslmR7LZUMPhPKOhdFcn5jI/AHoijpHJkL7egVw6sSnf\nZHCVNyGZrTj9DcgWO5qyNLS772Dx4BdrOZp5EdXIjBCXtJHAjG3Ox37iQ/umHjQJJK+HTOfED0L1\neg+OrevndI5fVlS42vBaa+iKniKU7qbU3sC1wEF0Q8NlLhtRLBxOtFNir0PPqmS0BIFUJ/XezaS1\nON2Rm6Voow9ym8nDZCFLURCpdq+mN1pcwtbs88/ofWQzGdKDvVMPnCEGo5ep9KyioWwbJY4GekNv\nMRS7Mudsg5bNoCkZzNLk4gOtFfeRUsIc6/jeuHO+OatjVnjasFu8XOh7if5wjhj0hc+ysvphKjz5\ncr9+VyulribO9jzLUHS0/DajJmit3EWpq4nh2Oz7p/RIjMy1LszN9VhXLSN59DSCSca6ItfbNNNy\npWKwrmoFBDIdPaiDxR3ek0fOYG7MZX7mQlzM1RXIPi/ZdBrlSvEehExnH+bmesxNhUp/qWPFe04z\nfUPIVX4kd/73alubI3iJwyentaCd6/wmw2xKxWaL069FRvppdM2gptVOWZ2Vz3xp9PcbGZ5doCzV\nEyHZHcHksSJbc0vOTEwh0R0hdKaP3pcuoYTntx8KYPBvnyCbGiVwhpLJVRbM0qPJ8/D9OPfcXbBd\nD4bRhgLosQRGMo2hqsg1FVjbiksnLxYMdemUD84VS564JC9fIqvkfnx5Ts+ihGSzo4VDCLKce208\nAx7bVFtahrW2HtFiJnrsCCZf6bzO01u9Ei2TRjZb8VS3EWjPr7Wv3/Q+LK4yuk4+Q+26d+EorSWr\nZgj1nKX3zF6yWr4fgmyxU7XqfkobN6EkIwQ7jjF46RCGUVjG5vQ3Ur7sLhyltUiyGS2TIhnqo+fU\nsyiJ3I1PEER8jRuoWvUAstmGqsSJ9F6k78w+dG3m6V+T1cXqd3+Wk0//RcFry+//TWSrg3PP/yNg\nzOi9yxY7lSvvx13ZitnqQlMVlHiA4PVTBZ+pIEpUrLgXX8NazDYPqpIg3H2WvnMvF3yei4XsuO/L\nJJhRmWO6fR6QTSSRfd4JX5d93hGX3TuYPoYS7QwlRuuIg8nrBJOj2bULQ6MR13C6l8iNXhgDg4QS\n4LLyGgICBkauV2XMT6UrfBJBGFUIvBbMb2K/EngDUZjYdFZ2zqy/RRnqm/VDfiqc7v4p1d511Pk2\n0lb9EK3Z++gNneH68JFp+V7NBbJk5urg63MmSjdR4qjDwGAomq8WOBy7XEBcylyt6FmtQJns5m/E\na6+dE3EBSJ68gLm5Htu6FSSPnsayvAnBYkLtHZiQaMwEcnnu2TlZ/8rNLMb4hv8Zn6sqF0gUrVZq\n/+5PJh0r3VCHypvHBLLQNxdxwrjrRa7IvbfM9b6CfRZifjPF+MvRYp/aZHo6+6jpcSVEAgT7FL74\nybkT3ciVYQ78/tNzPs5MoUfjec+wivdsZPD5U1Q8upnE+V4sFR7SPSFkVy6QqEZT2OpKyCo6wQP5\n17Jj56Y80pJNpYnvO0Dy+Bn0SKHBuGv3XUuOuLydsKSJS/iNfEnGyJsHibyZe1jb21Yy/PzPcK5Z\nh7nMT+TNgwiiSORwrvQltD9XUhI9Plq2NfiTUVk3pa83188y7jzKQPHG1skgCCKe6jbiQ+3YfbV4\na1YVLLIBbJ5yWu7+FUJdZwl2vYXDV4u/ZSsmq5P2Q6OSq5JsYdmuT2Kyuek68Qx2Xw3Vax7E5q6g\n48iP8o7pa1hHw+b3oyRCDF0+SCYVwWz34ixrJJMavaAMI0tZ02YGL76BpqZwljXgb9mKIAh0nZh5\nY5qajhHpu4ggyRj6aCTG4ijBUVpL37mXyYsWT/O9N+34MBZnGUNXDpBJxjBZXTj9jZiszvGfOk07\nPoTL38TQ1TdJx4axuvz4W7dj81Zx5bVvLtiia7oYzvaywrSZTi1387cJTprkNQzp89N8OBekzl7C\ncc920pc7UNrzI4WW5kYc92wnefTkIs1u8eAuayIdGyajjF47FnsJjWvfg8NXh5qO03NxP8HeuasH\nAkXLgiYrFSoWuBiLyRrbZcf4a2hyqOGF8/kxDIOe0Cl6Qqfw2mupKVlPfekmSh2NHOv47oI36Kcy\nc1/A34TV5ETV0ujZ/Ij0TcGFsbBZPEiizH1tnyl6LJM099r41FsX8D7+ENa2ZgSzaURNLHVi7otQ\nANFqBsDITBwcMm44kAtmU065aZZ9o6LVMnI8tXdg0rFaKFKwLavMLIA1cr7U9Eqt5jq/mSIW0nD5\nzNjdMsmoxpp784NPqUQWZ4kpr1Rsqn2Kof9aCptLpmWDi6snYwgCOEtMS6rpfzYw9CwYYCp1EbvQ\nh9IfpuLh9SAISE4LWUVHT4wLnIgirneOqloaGZXhf/w/qAMT3x8F8Y4FxUJiSROXyRA7dhTXuvWo\n4QhK/42o5QxvjvOVOsuVh9mIDlxFVxV8DeuRzTa0TH76UzJZ6Du7n6GruZKEYMdJMLKUNW/B5q0k\nFc6RJv+ynVjdZVx+5f8QH+4k0HGCTCJE9Zo9BK+/RXTg6sjxatc/TDoe4OK+J8ZlGQp1+C/uG5Xz\nDHaewmz34q5ug1kQF4BA+zG81W2EukYXcSX168CAYEe+6tJ037uzrJ7+868xcHG092LwcqEkp7em\nDU/VctoP/ZBwz+gDWU3HqF3/TrxVKwj33hrn3YlwTT1Nq2kdm80PIiCw1fwO+rMddGjzs4CYC6Iv\nvIy1pQH/7/wa2uAwWjCUM9DyeZH9Zai9/URfeGWxp3nLUVq9hoHOIyPERRAllm39KFZnGVktg8Xu\npXnj+1GVGLHAzOQzBUnMb3y8pRCQ7DMjLpnIrSlTCSe7CSe7qUmuY1nl/ZR7VoyUXBWDOA+15ca8\nBzWKHK/IJgGBjJbi8sDLRY+iZAqjtzOFHomjXOvC0lyPZVkj1tW5yG8xGeTZ4KaQh2C2TDhGuElu\nVG1OyoQ3fTX0cITB/++bsz7OTM4nyPLI/KczHm7d/JSkzkvf6uP/fqKNaEjjzOth/DWj38O+fx/g\nI/+pgWRU5/UfDXL0+cCU+xRDRsnyb5+/yqO/X4fNLoAg8MoPBjn8zNI2LZ4MsttG+TvXkeoYRnJY\nyKZz6yUtrmCucKMPRrDWlBC+nv8eLXVVSM7RksLkoeOTkhYA0T2ze+0dzAy3LXHRImGix49NPfAW\nwFuzCoDYwDV0NU1p44ZcuVjHiYKxkXGL6eD105Q1b8Fd3jyyePdWt5GODhMfHl0YDV87SvWaPXhr\nVo0QF5e/Cclkoff0i7MqjUpFB3CVNyII4pSR3GKI9l+j9d5fzScudWuJDl4jkyqMLk3nvadjAUqb\nNpKK9BPpvTjhvLw1q8hqKpHei3nbY4O5MguHv3HRiYuOxkX1OJc4iVmwkjHSGMzPwvXuT62Y0fg3\nnsj/nLLJFAP/+K+4d+3AunoFluYGALThENFf7CP22pG3VU3sdOEoqSX51qhEalnteqzOMkJ957l2\n4mkcnmra7vokFY3bJiUupdubCBxuR3ZYyCoaFr8L94pywqd6kBxmZKeF6IWZZ3dnC/GGwuJMkE3f\n2lLB4dhVllXef6OXJwcDvUAi2WKaXKp3OrBZSoikplcONBXSagKXtbLIPAsXL6lMFKfFTyB2bUGz\nSqkT57E012Nd2YzkdKB296MNz48Xj9aXq1QwVU3cD2qqzPVTaXOUQ75Zjib5SxAs5pxD+QJCGwhg\nbqrFXFNJ+vzUJXsLNb+v/8nEJqd7v9PP3u+M3jv2fnv032ffCHP2jcKAw2T7PPl3xYVirl9I8KVP\nL+4zdD7R893inkSB13LvsfKxLURPduLd1Eh/92hGVvTkK3ZmeibPrAFYmurmMNM7mAq3LXFZMhAE\nPNVtpGMBMskwupbGMAw81SuLEhc1nV8+oCZzC3zZNnpxmJ1e4kP5NxNdVdAyaczO0T4fs8MHMG31\nL3tJNQ2bH0W2OhFlE6I016/fwFXehMXhRUmEsZfUYHX56DtXXDllOu+9/dAPaNjyfpp2fAg1HSfQ\ncYrhq2+ipvMjkRanD1E2seHxPy16Ltk09wb4+YJBFsWY30Xglo80zWj8eOICuWbFyIuvEnnxjkv2\nTZgt+Ytif/1mDCNL17kXMIws8XA3iXA3Tm/tpMeR7TcizlkD/z0tSA4LktVEyZZ60gOxW17GKEhT\n18KPRzazML0mkmgq2l9S4sg97FPq6MIrnYnhspbnkQy/e/mczq9nVWpLNjIYuUTWmL0y302EE12U\nu1sp9yynPzya1ShzFda4D8UuU+5upaZkPV3BhXPTTp26gPcD78DamgtIzFe2BSB19grex7OYG6ox\nlZeiDhY+f+xbc/5QqdOXCl6bCTJd/WihCHKJB8f29cRfLfRQmU+kz17B3FSLfecGYq8emdRJfTHm\ndwcLh8FnTmIudzPwTH6J9HgJYdEx9dpCnmNv1x1MjjvEZY5wltZjsjowWR1s/MCfjWx3VzQjmSzo\nav7Dv7BE4WbZw8wXMjcrJqaTLXFXttJ818foPPoTlOgQupqmYsU9lDZtnPF5x8LIZvE1bKTv3H58\n9WvRMmkifYWL5Nw8p37v6egQF/c9gcvfRGnTJiqW76S8dRsdh58i0n8pb1ctnaTr5DNFz5VJzr2e\neK6wCDYa5JU4BBcC+dHu45npy2IWw9nnJu6T8be48be6EESB4z/soOv43GWtve/ZiXK1B9fdawg+\n9SpaOI6l1o+haWT6Q5hKPaiByA2XYAE9kcZU7kV0WFE6BvA9fg+x107nfJX6g1gaK9FDMbRITqLR\n++Bm4kcujPw9/nVLSzUYBmp/EHQDS2MF6Wt9GKqWdx5BErE0VaIFYmjBaNFjT4oxZUg2dwV2TyXh\ngYtk0qPeHkoqit07uUKQaDNRtrOJRGcIQ89i6DrKUJpMOEl6IIZ3zcw9VeYCYRZBioUqa1tX9ygA\nkVQfGTWBIIg4rX787mXE08MMRkYlVwdjl9nY8EG6AifIGhplrmZspsIafUEQMcsOTKIFhyXXYG0z\ne3Fa/GhGBlVLjpClKwOvsqJqD5ubPspA5DwZLYFZdlDiqONS/8ukMuEZHXMgep660k0sq9iNzeQh\npUYpsdfithYuXoailxlyLaOl4h6cllLCqV5AwGb2UOZs4VTXj1DUeSgXiyVQrnZhablBBuepvwVA\nD0eJv34M566tlH7ycYb/7alRHxeTjOe9D2BurEGPxoi/MceqCMMg+vN9+H7tMTzvfYBsMk3y2Jk8\n4m+q8mPftJr468eKNkrPBPEDx3Hs2ozs81L2Wx8k9IPn0AK534NotWBdvYzMte5RP5ZbPL/5wN0f\nqUZTshgG9F5KULvSSSalEx3KYGShbo2LYE8KVcmiprMYWbh6/NaUjS4mshmNdHdh75s+lP/8tLa1\nEn+1UIHwJm5mG+9g4XCHuMwRnhsO8/0X3kBXcgsjm7cCX8N6PNUrCHbmm5CZbe68MiqTPVcWoSZH\nb2iZeBDLmMwKgGS2IputZOKj6X4lkfu31VVGItA16Tz9rTswsjqh66PzEeXp1fFOhkjfRXwN6+g/\n/wre2tWEus7kNeuPxXTe+03EhtqJDbXnegru/TVqNryLyPOjxCUTD2HzVBLpvzzh+RYbbaYtZMnS\nr1+fkzdDMbz0t5M3h3sqbTz8XzewYncVx35Q6JYrl/nQw9FCh99JkE2myaYVjGwW26pGLFU+lJ5h\n6A/h2LKc+OHzOLevJH74PLaV9VgaKlE6R9PqlvoKbKsbUTr60UIxnFvbCD93GD2e3wvmvm993uv2\nNY1kFRXHxmUMffslMAxsqxvRAlHU4QiOTctHziO57AiShO/xexj8l5n3bo1tyi+v3wzAcNe4fi3J\nPGXGpO/Z0e/Htawcw4DQieuosVwgY2Dw1i5gZpNxMRaolGkweokKTxtV3jXIohmDLKlMhK7AMboC\nx/OyIIoaI6MlaCrfiWFkCcaucbLvJXa0/mbeMb32WtbXvz9vW0PZNhrKtgFwdeD1kQxHX/gsaTVO\nfekm6su2IgoympYikupH09MzPqae1Th5/WlaK3ZR69uIgUEg1sGJ60+yveUTBe//XM9z1CTXU+ld\nhd+znOz/z957BsZxnff6z8xs78CiN6IQJNg7RVISRaoXy7IsS26JHMt2fFPsxPfvEjvJTa7jXDvO\nTWzHuXZcE8WSZcmSZUuWbFGiCimxiWInQQIgelmUxfYyW2b+H5YEuNhFWRQSFPF8AXbmzDmzwO7M\n/M5539+rJpFjQdyh1rTxZ0rk6Bn0dVXEOnsz649cgnHVUnQVxQgGPYJBh64mtZpo3LAcqTAPNSqj\nRGXktm7kc6lrie/519A47RhWLKHkK58m0e9GjcXRFBUg6LUkQ2HcP3l6pI7MRUwbV6Etyrswlh5N\nUT7mbevR1VSiRlPXF7mpDbmtZ+SY8JFGJIcd+707yf/ovTjefyvJIS+CXodktyHoUwVNQ4fSv6fT\nQYlEcf/4lzg/+RD6JTWU/M2fEOvsQ7Ra0NgtIIoMfufRtEKSl/P8ZoOQJ86xXYOsvb2Q7sYApfVm\njFYNbcd81K134B+QGeyIsOz6fI7uGqBu/eTJ/O9m4gNuEv2DaIpTgkS/pAbH++/E/9IbKKHRe5fk\nsGHeuBrLzdtIBkNpeTELzC4LwmVGCDjKG5CDHvpO7x7ZqtGbyKtajb18eYZwcZQvY6Bl1Nc+vyq1\npB4YHI2n9facoXTFzVgLqwkMtgNQWLsxta93dOYsMNhGMhGjsO46PF0nUSZ4gBdEKW31R6M3YS3M\nLdwoG+62d3CUL6Oofgtag5nhLOFxF5nKex+LHPYSdneSV7Eybbun+zSOiuUU1m7OmryfWs25sq5i\nFiGPA/KLJCeoZj5X+FwRXvzqUf7oZzex9Y8Ws/tb6bU9Ch7+APEhD+7//uU4PWSiKyvA99I7JP1h\nos3d6Muc6GtLiZztJLDvNNatyxGtRhLeIJYtywnuP33JKodA8J0mRIsRTaEd/xvHETQaNMV5GcJl\n7P5Y7zCWLcuIdQ5ckgw7unpy6Tj66mK0+TZE4/TcmQKDbRRVb0RNJimoXIscGsY7kB7uojPaSMSm\nHvo38EZmuMzsJ4dfPfR4TtDjyV5VPhtH2p/K2Lbn7L+nvfaEOnm98d+m3Kcn1IEnNLG5Qi59yvEA\np7szV3/3nvt+xjYVlW7PMbo9c+vaFzlxDscDt09au8W0eRXGlZnhd9rSojQ74+C+oyPCRU0kGPrJ\nM5g3rcJ83Ro0ZcUIWpHksJ/o6WYCrx4gGchc4bTetAltRUnaNp3ZhG7R6ApkQBDShAtA4NUDyOfa\nMW/fgH7xIjRlhajxJEmfn1hPP5ET50gO+5kNYl0u+v/pR1hu2IBxZT3aimKUcJRYtwv5bGvW0LjL\neX4z5diuwbSfbz/nQhAFVEXlnd8NjBSBdLWGR7Zd6/h+uxvnIx8cWZE3b9uAeet6kr4AaiSKYDYi\n2UbDjIf+9UcUf+lPplSkUjQaMG1ag2jQp1zqDDpEgwHRoEdTmD/SLv/hB1BCIZRIqh6NKkdRI6lJ\nheCb11aI4oJwmQHm/DJ0Rht9Z9LdlxJyGL/rPPaiurRwMSWZoHjpDWjNDiI+F+b8cgpqNuDtaRxJ\nTgcYaD6Io3w5NVs/RPeJ34+26z6D3zVatCwZi9JzYhdV69/D0pv/mOHO48QiAXRGC5bCWrqPvYgc\nTC19BgfOYy1clKqPYrRRWL+NuBxEY0j3lhckDTqDBVGrx2BNJV8arIXEowGUuEw8GkwTSP7+NuSg\nh6Il1xPx9hP2Zk94nep7b7j1f+DrayYW9qAqCYyOMvKqVuPpTF9h8PacxdvTSPnqWzHaCwleWHHS\nm/OxlzVwfu9/E4tc2RtFghiSIJGchTj66eDvjzLcFaL6usyla8mZT/BAbmEcoRPnUcKpz7KuvABU\nFa0ztWqWDISR7Bai51MPHJGTrTjuuo7EsB/f7gti9sLDerSxC8c9W9DYzLif2YOurCAVCiYK+N84\nkbm/3IlkMZIY8iFoNWidNgx1pQh6Lf7XjqWNoy2wp90sxvY9mT2qq+0Aq3b++cj5dp15Kb0elN6K\n0VqEf2hmtTYWWGCuSQZCdP/Pb0zazv2TpydtkxVVJXToBKFDUxeh/f/y0+mNBcR6XMSeyB4afCmJ\nYS/dn/s/E7bx/OIFPL8Yvy8lHMG/6038u96c9fObj1wUK5dWrs+27Vol2ngez5O/xfHAnQja1Aoa\ngoDksIHDNqZtM4khD8khD9IlwmM8JKsZ+3tvnbTdWMF/KQvCZR5R8pcP4vr26Iyw7aZ1+N8Yf0Z/\nLHnvuxF9WQFy7xCeX++d9fO7GCbm6cq8cHu6TmAvXYytpH7UdUtVaXnrMcpX30FBzXqURJzB84fp\nPfVK2rFKMk7znkcpXb6TqnXvQQ776Dv9appF8EXcbUeIh30U1W+leOkNiJKWeCxM2N1FMj66TN/f\ntB9Ra6B264eQQ14Gm/cTDQxSf9MfpfXnKGugevP707aVr75t5PeOd55LWRmPoOJuP0LZyltwnZ0g\nyXuK710OuslftBqtwYKaTBALeek7/SoDLQfHdkjbwacprNuMc9FaHBUrUZUE8bAfX985EvHZC7mY\nLm2J0yzXbqErcQ5ZjaaFi4XUy5ODoyYUTHmZIYGKHENNTv2G5H0hvdih3O4i1useWQERJBFVSRI+\nnnqgl3uGkJ98LSUiFIXhZ1KfDf/rqc9O5GzHSA5FrHeI/h+MOnmFT7el7TdvWMLgz17GumU5ujIn\nckc//T8afUAYumQc78vvIEgi3l2Hs/Y9GXLYw0DbQUBguPc0QW96LpE5r4JwoJ+h7vkR9rHAAgss\nsMDcEz58gtj5Tszb1qOvr0EqyEPUaVEiUZRgCLm1i8jxRuSWdgDkjm5MUxAuC+SOoM6TmIXy8sxk\n17HCJe+91+N57q2p9/nXf0jPP/5sVs5vplStv5f86rVZK80vemAtnb8+gZpUcKwowVhiI9ztQ4kl\nkAwaktEEtoYiQu3DWGoLGNzfhrHMjvfU7Nh5zpSShhspWXYTp178VxJyZgjNRO/9crPoo3+KLj+3\n5Dk1maTle1/Leazt+vsZNSBIZ48895WEjXYdn3jiJuKywg/u3522z3H/XUhmM+7HpjnbOgbTqhoS\nA15i/bNjuXopWqcd48pqEkN+wqcz83UWmBytzUH1x/4ip2N6f/sEobaZuUItsMACCyxweSjYXM2K\nL97KgU8+juyNTNp++RduIeaJ0PLj7FbR00EyaLnhsY9x7v/twfVa+v2jp6dnnKNyY16vuKhhGdGo\np+QvHsT95G40DitFj9yDIImINhPux18h5nJT8pkHiLb1oSvKI9rcRbS5B9st69A47RT+0d1EmzoI\n7D9D0cfvzjjW8Z5tI8f5954g7/4b0RY4EPVahp/dQ6zn8hRcMhRZKbmhlshAAO/pfiIuH7V/sImY\nJ4wuz0S4y4OltgBQWfT+NTT9eP+kfV4OJI2egrrNDHeeyCparmX2yM/OWd+iNH7srNYgkV9t4YZP\nLUXSSXRmcRXzvbibgocfxH7XzQT3HiAZnNn/Lnxy7gRF3O0j/sbCCscCCyywwALzH73TzJYffJi4\nL8K+Tzw+sr34xjoa/mInnuPdnPiH31/BM0whCAJqfO7qSc0V81q4xId9aEudJD0BjEurEM0G+r//\nawDM6+oxrV9C7MX9aAochJ7cjXdg1Olj6PFX0FeXMvhfo85CAz99IePY0KEzI8fp68oRDToGfvQ8\n2uI8nA/swPW9uXv4vEi420v+mrKRQKKLFV1D7W4irgDGEisasx7/uQHsDUX0vNRIyU2Lcb3RMn6n\nc4yk1WMvW0ZBzXpESUN/40ItkMvJZ166Y0rtlKTCoccz8zHyH3wvgk6Ldcc2rDu2pXI/kpkXsN7/\n/S8zPtcFFpgJdSU3odOYUFWVc727xrV/L89fS6G9nmNto6v0oqhh9aL34w11M+A7S1jOtDtdYIEF\nZgdRo6X+3j+je9+vCfW3X9V9zBQlkUQy69Dnm5GHU0YV5prxi7ZeCU5/85XJG81D5rVwSQz5Ma9f\nQvDwWUwrakBRKHrkHpLhKBq7ubsQggAAIABJREFUhVh/aiZZjcWJD0zsMy4a9RR8+NaMYy89TleS\nj2FxBUWfuheAmGvm9S+mwuDB9hFXj0vpfzP1wOlvGRzZ729JOYGEuq6sr7qk0VO28lZiYS/n3/o5\ncvjd7/M+WyzXXseZ+NicndlFVVRcjT72/bQJV2P2/03SFyRy8t1TGXm20JvyKKhcg8lWikZrwDvY\nQl9zKkdOozUgaQzE5ACqMo9nqgQBjcmCZLGiNVnROa/egmjRmI/zrjeQRO2IaNHrbNiMxfjDvcjx\n1ENBz/AxnLbakeO0GiNOSw0JJUYg4hqpzzJXiFodhuJydHlOtHYnGnseWpsDSasDrQ5Rq0PUaFAS\nCdRkAjUWQ4lFift9xANe4gEvsSEX4a6FcMjZpOKLX2D4t78lfGYGtWwE4bIXjb2cYwuihLPhOvJq\n16C1OYkO9zF44g0CvblOjqYiAVQluyGNpDegJhWUxEQmKRP3MRvncTlQ4kkifX4stQUjwsVaV0Ck\n78rXmJtTLsPXZF4Ll+jZDor/7P0MP/06kkmPob4STYEd1ZUcY7U4+V9KNBnGOXaUwFsn0eRb0ZWl\nVHHcNXuzc51HnqfzyPhJwpM5d8yWs4ehshrHddsItzbjP3p42hfEWMTPqRf+75TaTvbe303UaJbT\nljgDwBLt+qxt8sXx3UGmyndundky82zltoxH3R//FaJeP6djjEffC08RbJ3eQ4rNWcPiTR/E3XUc\n30ATVSvvJhoancBIJuOs3vlZAp4umt9+YrZOeQRBlNCYrUhmKxqzBY3FhsZsRWO2obGkfmrzLk/C\nZ9l7PnxZxoGJ88iGAs3UFG3DbCzkTNcLlOatIt9STTTmo9K5kdb+N/GGMutYxRMR/BEXFkMR7sDs\nusDp8wqxLluNdckqNFZ7TseKWi1otWAwAnZ0BcXjtk2EggRbzuA7cZCY98qvFv3Bh8w0tyRY3qDl\nqWdD7NhuQFVAjqlEIiqqAmtW6ygvk+juSeL1JUkm4fSZOJ3dCXZsN9DamuDB+0189Rs+7r7DiCAy\n0kehU6KqUuK5FyKcbZq4av1YBEmi/Aufx/PCi4ROnkzfOYPbp2SzUf65v6TrH76GqsxNUdYrOXb+\nko2Ubb6Htlf+m6EzM8t1UBIxzj377ew7BYEl9/45PQdfwN81/vV5wj5m4zwuExqjjv7Xmyi9ZQnu\nwx0YS+zYG4rpfOYYtqWjE0mSQcuSP92O52gnkT4/xhIbdR/fgu9sP6e+vguAtV+9B1NVHtE+Px1P\nHyMZS1DzofUYyx0c+tOnSISzC8GCTYtY/vlbaPnJfnp3XfI3F0Br1rPqb+8k4grQ+K1XM46d6piW\n6nwq71tD3ytnMRRaWPTQ+jl3opvXwiXmGqbrb38MgH/vCfx7s9sujpeAf+n2hNtH7zd/PumYnudn\nL0lpPiLq9bh+9Qt0eflobHYSvoWVktlEueQOWSRW4lLar9zJLJAzJXVbOXfgUUIXbL2rVt6dtl9V\nkkSCAxitc7Pkn7/pRvI33zQnfV+tyPEQbQP7qCm+AbO+gGQyxqDvLC7v7FWDnyr6whLyN9+EpXYp\n4xlvzCYaswXHms04Vm8i2HoWzztvEe2fnQTXaSGA3S4QjigUFUrU1Wh4eXeUndsNPPdihC2bdbhc\nCZpb4pjMAu4hhYICkfJyiaisUlejIc8uEomq1NRoWFyXegS52Me5ljgqKnp97n9bQ10dSiSCafny\nDOGidTop+eNPoS0uJj4wgOe555H7LpjbCAKOW27GvGYNotFIMhgkfPIk3t2vImg0lH0mZY9e+Td/\nPdJf59f+ERQFXUkJzoceZOjxn5N/33vRlZWRDAbp/8lPSQYC6CvKse/Yia6sDCSReH8//T/9z5F+\n9DXVOHbuRFdaiqooJIbcDP785yiyTPEjH0dbWDju2LNF3uJ1hFxthFzZV/oknYFlD32Jpme/TeGa\nHdgqlyEIAu6zB+k/NvrAu+yhLyHp9IBA5+tP4O8eTcyuueMRjHnFiBodVTc9NLJ98NSb9B/bPaU+\nLqK3F1B7xyOIWj2JcAD32YMMNe7PqQ9nw3U4l2xCa3GgxGO07vopsm8I+6Ll2KtXosTj2BYto//o\nbiStnoIV1xPoaaZrb24TfqG2YSrvWwOAtTafYMcwypickmQ0TuO/jv4NfGf7MZbaKLtrRVo7Safh\n5Nd3EfenHFObgzIb/vl+LHUFeE/2prVVEgp5a8tZ9v/dzPlHD6SLFgAV4kEZNTFx1MBUxiy/ZyVn\nv/v6iFhR4kmWfe7mqfx5ps28Fi4LzD7hlnPoS8uR+6Z+8xMEkYpN70FrtCFIEp72kwy3Hsnatmzd\n7bhbDiMHrvzs4JWgIzF6gZAJ0xLPTCrP148/wzpVNHoJJamiJKZ/AxMkCV1VOVKeHUGT/VIQOjR1\n+/F3A2ZH+YhoGY9YNIjRXnqZzmiBhvI7SCoJNJKeUHSQkDzE0vI7sBpLEUUNzb270WktlOatxKjL\np6b4enrcR4glJnfVmSpau4OCG+68IFiuAIKApW4ZlrplBM6eYOitl0mEg5f9NB57Ij1a4d++FwDg\nXHMcRYFf/SaBooAopj9bS1Iqhe7fvhdIi3y6ePylfUwX04rlRM+fx7x2LaJejyKPFlw2b9qI++ln\nSHg82HfswPnQg/R9999RFQXz6lWYli9n4L8eJRkKoS0oQNClLOTVRIKBR/+b4k88QtfX/jHrqofG\nZsNx+214d71M3O1GV1pKMpB6X0okQujUKYaffx41kcBx22i9Dm1+PkV/8AcE3nwT96+eRU0m0VdU\nkAyl/sauH/4IfUXFhGNf5NO77k17/ZN7XyQhTyWUVcCQV8rQ6cndWitufBBf+wmGTr+FxmDJCJVt\nfOqfEDU6ln/oyxnHdux+DFHS0PDgF+h+6xn83c0AqGOKZk/UB4DWZKX29kfo3PNLEmE/BkcRiWgo\npz7MxdWUrL+Nrj2/RPYNIBksxMOjn0Nr+RJ6DjyP7BugeN0teFuP0777MWru+DiGUyVEPa6s/WYj\n1O1BY9Gjcxix1BYSaJpaMc/IQBCNSZcqM3ChLECwdWhEQADIg6nvv95hzDjeVJHHyi/eRtvjh+l5\n8cyUz3csUxnTUu1MW2HxnZv7gqULwmUKGJYtQRAl5JZWBIMeVY4h2SwkvD4kkwklKiPZLCAIxPsH\nr/TpToqxogq5v2/KszamgkqURJzWNx67sGX82bDeo7tm4QzfHZyLH8663avM3Knuz164jZa9/bzw\nvycWFp96cid9jT5++/fpQlNTkE/BIx9C45w47OhaEy6CNPklUdLoYD7nt7zLaOp9BQQB5WK8ugqN\nXS8giVoUJYGKSjTmo63/Ldr60x/AwvIwLa7Xpz+4IOBYuwXndTtTIV7zAGvDasw1S3Hv34335Pwo\nPHfxVjL250Uu9f0YLzp5JqJFkCSMS5bgfu45jMuWYVxST+jkaNHi8NFjyF2pcELvyy9Tvu4L6Gtq\niJ4/j6BNiRQlFkOJRpG7u7OOMdHYgQMHR46Lto6GJcbdw8Tdo5N4wXeOjOSsWLduJdbVhfe110fP\ns/HyriKKWh2CIJCIBCZtG+5vw332EACyb5x72DjGGUoiNrJPSSRR4nLWdhP1AZBfvxFQR1aHZP84\necgT9CFqdKhAPBJADnggkG7hryQTeFuPozPbKV53K8NN7xD1uEiEfOgseTkJF1VJmSxZapxYap30\nv96M3mlOayNIImW3N1C4tQZDsQ2tzYAgiRl9xfzptelGvkdC+vOYqqgs//wtCBoJUZPZTy5MZUyd\n3ZDWJhmauMjzbLAgXKaAGg4j5udhvm4DqhwlfOw02rIS9DWLiPf2oUSiaMtKSIbCMM+Fi2PL9cTc\n7pzuEomID1N+OTqj7UI1+tSnN696NfbyBvx9LQy3HqGwYRvOug20v/UkUe/cq+75jl/JXtOkKZ59\ntWoukMNxipfaMrY73nMrosWC7/mXiXX3oiauXBLjfCIW9k6YDCtKWky2YiKB+f09fzehqMmsOQpJ\nJbcciFzRWh2U3PkBDCWZNcauNKJeT+GOuzFUVDPw6nNpqwvXIoa6WgSdDrm1jWhLC8Zly9OES9wz\nKh4UWSbp96PNyyMKhE6cwFi/mLK/+CyRs2cJ7N+P3NObZZTxifX3Z90umc3Ytt+IvqYGUa9HEAR6\nv/0dVFVFW1g4IqauFKkkeRWNwTxp2/BgboJuLjDklxBx5/a/GUugtxlvy1Fq7/wkEXcPnpajeFpG\n78lKLLVSqyRS15fkhTIPajKJqJFyH69lCEttAZZaJ00/fIuirTVp+xd/fAtFN9Zx/qf78Z5xEfNG\nKN5Rz5JP35DWbqolFwVRoPmHb6F1GKn/5DaC7W6Gj07vfzeVMceKG4117nNbF4TLVBBEJIsFQSMh\niAYkmwVtYQHxITdyVy/aQifawgJiHccm7+sy4Fy+lcJVN4Kq0n9sN56mSx6UVRWdI49cqnbIQS+u\nU69Ste0DxILD9B57GVBx1m2kZfdPR9oNnt2H0T714o6l191N/tJN4+73t5+ma8/cJpG/25FDSewl\npoztuqoKgnv2E3hzbt3NrjY8rrOUL9lBb9MbGba7gihRuew2NHoLfeenXgh3gasPY2kVJfd8EI0x\n87szn7AuXo6hoITe3z5BzDM7Ncc0aBCRiDEzMXTDZ1ax4t7qCdsoikpoIEJgIMJwm5/+Mx66Dg8i\nB3KbtTUtX44gilT81ZeAVIhXWriYMGbmWRBGtLAaizH4xC/Ql5Zi3ryJokcewf/a6/jefHPqJ5DF\nSh6g4IMPocgyg489TtLvR19ZObpTnPscqUlRVWTvIIa8yQ1jLj7IX1mEKT/Aj4uq0nvoBYZOv4mj\ndi3Fa3YQ6G4iEQ1e2D2m/wlWb6ZC4Pwg5e9ZCUmVqMufsd+5sYqBN8+nlbewVM/MgCXQ1I/sjWCt\ncbLsL3dy5EvPEXHNjZtZqH04zRXXVp9bge/psCBcpoDc3onc0YVp9QrCJ06DquJ7+fWR/fFBd9rr\nK4lGb6J4/W0IFy6KJZvvxnf+BMqFWNLY8DCSwZCzxWLA1UrA1YqjagXlG+5k8NwBZP/CrPN0WKpd\nz7nLtOpisGYPbxG0GpLezIvotY6rdR/rbv8i+aXLCbjbATBai1m08m5sBTXozfmEvH0Mdly+VbNr\nHQERlcvn5mRfvp7CnfcgiDMLs7hcaB35VDzwcXp+8zPkwamHsWRDj4F8sYSIGiKmzv31XRQFrCUm\nrCUmylY7WXlfDUpSoevQIMefOU/ficlLEgiShHHpUry7dhFuPIsgiZR8+tMYFi8mfPo0ANpLQmJF\nvR7JaiUxnJ6HKff1If/mOaLnW3G+995R4XIxOmFs4s5k56XRoK+oZOCxx0j6U9dajdNJ7EL18Pjg\nILqySXLlpjl2Lvg6TlO0Zgd6RxHyHEZKpASBOvJsMh1kXz+O2nWzcj6xkI+Bk28w1Lif/CUbZ+yo\nNh6BliGstQUMvd2RdX+kz49jVRm2JUUosQT5G6oo3FKTtW2uNP9kH+YqByu+dBtHv/wbktGU+BQ0\nYiqHRiMh6SS0Vj2JSBx1Gjmz3S+couHPb6LvlbPonWaqHlh3bbuKXYogSlgr6ilYeQNaswNRp0cQ\nJNRkjGQ8SjzgRQ4MExnsJtzfMX7s43RRVcLHT03e7gqjMdvSLgyiKKExWIiFUu5hyUAArT0vNxvk\nS0ROxN1D3qJVxIJe9LaZKetg7/lUvQm9CY3BhKQ3o3fMvVq/0tjFy1CESoBVd1fiKDfh7shM4pXb\nu9EvriZ0eKEi/aUk4zK+gRbsRYvRm1MPOyZ7CSZ7akbS6zpH+8nnR/MtFph1qkwriST9hJN+VMAq\n5TEc70UrGhEAragnEHcjCVqSahyNqCepxEiqSQRBSIWWTRP7ig0U3XwPl8MxbDaRjCYq7v8jep57\nnKhr+uFHSRJo0aFw5T7foiSyaGsxi7YW03logDf//SQB1/gxAvraGgSdjuDRYyjRVNhKpKkZ04rl\nI8LFvHYtkZbzJNxu7Dt2kPT7iba3A2BcuhRFlkkMDIAgoK+sIO4ZdduMezyoioJpxQoiZ88iGvQk\nfJNP+qiJBMlwCENNDXJHB7riYmw33kD4RModNXDgICX/49PYb7yB4LHjqWiIigrktraRlaLpjp0L\nQ40HsC1aQc0tf0j/8dcID3VjKqgg5GolFszRdVS8EEolZIZUqUqSWMCDo2YNUU8qtE6Jx4iPza+Z\noI/hc++QV78JU2ElSTmE1uxA0urxdTZOuQ/7omWIWiMRdy9qQsaQX0psDs2Ewn1eEmF53MT8ph++\nxZI/vp7Vf3c3aiKJ+3Anx//+RTZ+64EZj60mFE7/827W/9P7aPjsTZz+51dAhe2/eGS0UR1s+88/\nTJ3Lf7xJ3yu51XYLtrmx1hdSsK2GUKeHpv/Yy9I/vXHG5z4RgjrjdbfZobx8vDhiAcfidZSsvxlp\nCnGYF4l6+hk8/gb+sR/odzkavYklD35+RLwocZmzT/7zjIrl2UoWU7hsG0oijiBK9B1/hYjXRX7t\nemwltQQG2vF1naF4xU1YSxcT9bgIuM7jHsd5bCJWPPx3I7/PRajYoo/+Kbr83MTRRDUmxlKjWTlp\nm3Kpjjfl3+R0DsvvKGfbI0tGXpudepKxJNFA9gcMvVmDxpC6aO/94TmOPJVudaktLqDgkx8lcqKR\n0KGjJDxe1NjshQKIOj2S0YhkMCMZjEhGE6LBhGQ0o3XkozGakAwmRKMZSW/Mmow4XWZSx+UiRmsh\nNmd1ykkPgVg0gH+ojUhgbnO3nNftuCbtkC/9jtVZNhJJBggkBjGJqRop7lg3Tl0FMVUGVBKqTKlh\nCcGEh2DCjUmyk1DjeGK9JNXpPXTbl62j6NZ7udpEy6Uko1G6n/7JtMPG9BhYJDbgVl0Mq/2oMyiA\nMpVQsakQCyV49RtH6DiYPY8k/773IpnNDP58tK6ScVkDBe9/P93//H8p/8u/wP3sr7Hv2IG2JGWH\nPPzc88Qu2CFb1q/Dev0NaGxW1GSSWE8P3pd2ERsY/a5b1q/HdtNNSEYD8WEPrv/4DwB0JSWUfPqP\n6f7GP2XNMzIsriPvrrvROOzE+/vx/P4lYt3dIw5hhsV1OHbuRFtcjJpMEh8YYPCJX6CEw5OOfSnT\ndxVLIekNFK7agb2yAY3JSsTdS8++Z5H9wyN2yO2v/IygK3s9pOK1t+BctgXxEnMTVVWQvYO0vDB6\nvqaiKso23YXOXogih3EdfRVv67Gc+jA4iqm54+OIGi2JsJ/B028x3HR4yn3YKpZStGYnOmseiBLx\noJfm5/4dAPui5RSvu5WmX/8bGr2Jhge/wLln/oV4JMiS9/45Aydfx9s2/yew5ys9PbNj5T6vhYsg\nipRf/z7sNaum1WfX609dc8IFwLlsC4Wrt6MmE/Qd+l3a30Cbl48Si5EMXX4rzalwtQuXG/T3MaRM\n/OUsEMtzFi75iyyseW8lVRsKcFRMTcArSYUTz3Wx5/tnKf/6X4/ZqaCqKoI0cbJh95em9r5niqjX\nIxlMSBcETUrUmNBaHTjWbM6pr9kQLlcKU1Ud5sq6We9X1OuxrcheEHU8gq1nSXizG0zMNqqaZGhf\nqpZBiaEOo2RnKNZOgW4RAP1yK8X6WvqiLeRpS5EECb1kJpQYxhVtxaxxkK8rpyt8elrjW+qWUXrX\ngxkOPdMh4fMSHepDHnSRCPpIBPwkY1FIJFLfOY0GQaNFY7KgsdrROwvRF5ahLyielfHjXg9dv/wx\nyWgumYwpREQqxcXIagSXOrPE8WzC5Vd/thdP5+gMu96iJb/aRsmqfCrWFVDY4EDI8jdQFJXXv3mU\n5levYA2becxMhcsCC1wOZku4zOtQseK1N2eIFk/zEWTfEMlYFEEQkHQGtNY8DI5ijAXlI3HJyWiI\nQPe5K3HaVxx34wHcjQey7tOXVQAQPJ29mOcCM0MmzNlxbJAvslnvzLnf4Y4gr3039TBuLzHy8H9v\np++kh33/2Zy1fTKm4OkOEQunZp+DB+d3ToYiyyiyTNyX/qCstdhzFi5XM+HO84Q7z896v1qbI2fh\n4j9zlFBbZvG2ucYVHX3/gfhoCEdbImXN7UoGM1YCdKIJT2x6bkP6/EKKb33fjESDPOjC33iMcEcT\nsWmKPclgxLyonuLb38dMVn20jjxK736I7mcfzS0kGDAIZiJqGJNgnVG1+fFIJpS0B+qEnCTkjtL1\nzgBv/xc4qqxs+thSam9Mz/0QRYEdX1xHaFim99jsmBAssMACVyfzVrjoLA7yV2wbea0qCn2HXsTT\n9M64x4gaHeaSauw1q4j53RMWbLpWCZ4+gb5koXjeXNEcn9xZLjCOTfJU8bkieDqDRPxxek9NrS/v\nr16c0ZjXEhZHBWZHKaImVX15PPpa9l6+k1pghGzhS9MVLaJeT+ndH0K8UHBwOnT98qczyiu5SDIa\nwX/uBPJAH/nbbsZS2zDtvozli8hbtw3Pkdzc72JqlGEiBMkxt2GW8HYGePkfDrNoSwm3/vUGNPrR\nEFJRFLj1Kxt46lOvE/Vd2/bPCyxwLTNvhYtt0fK0JeOBY69OKFog5Uke6G4i0H35ZwmvFuwbt6Ar\nLmHwhV9f6VN5V+JVJnfiaYwfmvE4Q+cDSLrcPeUXmBhJo6fh+o9Pqe2CcLn6Kdp5L9q86VmPJsIh\nBl59blZEy6XInkH6XngS06LFFN92/7QtmZ1bdhLuaEF2Z88NyYaKQqFYjqqqhLly4cQdB1w8//m3\nuPeb29AYR69zRoeObZ9ewavfnN8ryAsssMDcMW+Fi95RnPba2zI/aqRc7fgOH0DnvAyuVgvMKUd+\n2Y7OMoOvryimwkjmR4rbvKGsfjtKXGa47zRyxJdRy2WBdw/mmiVY61dM69hwdxuu3z09rTySKY/R\n0ULXE/9B2b0fQV84eZ2NsQiSRNHO99D19E+mfIxTKCG1ynjlrwsD57zs++Fptv/F6rTti28p4+hT\nLXjap+6uZSs1UbmxmIJ6OwV1NoxOPXqzDlEDsXCSeCiOryeEu9VPz9Ehuo8Mzqmla/GyPOp2lFG8\nLA9buQWdSUJNQjQQw98bYqjJR89xNz1HB6/KXBVjnp4lt1RQsb4QxyILpnw9ciBBxCszcNZLz9FB\nWvf2oUzDfjcbJcvyqL6hlOLledjLzOitWpQkRDxRQu4ovcfcdB7qp79x9nL29FYdtTeWUrIiH2et\nFVO+Aa1Ji6gViLijBAYi+LpDDDb76D0+hKcjMHmnMxgzEU19judi3PnGvBUuGr1h9IWqkoiG5nQ8\nU1EVtsqlmEqq0ZpsSHoTSlwmHvYTHugk0NlIsK9t8o4mQNTqsVUsxVS6CKOzHI0+5bgEF2wBw35i\nFyydg642ou6+CfvLb9hM6ea7Jmwjewdpee57I68dW64nGQoTc08tTlgQREzFVVjK6jDml6JzFCDp\njAiiFjUhE+pvJ9zfha/tZKat4TWOiMQizVIKpAo0aNkvv4BNzMcoWOhPds6o74GWmVliVnz9Kwz+\n4DHk1vas+y3bNmLasJqB7/406/53K3mlDZze+0PkyJUJlXk3UPa5B9BXFRPrHSIZjOD6/vNzMo7G\nbqbwY7fT92/P5nysqNNTdNPd0xo30HSa/pefnZFT41RJhAL0PPso5e97GH1R7iG+htKKHI8QUNQE\nJsE2H7QLjS90ULe9jPJ1o5NtgiCw6v4a9nxrYit3vU3H8ruqWHxzBfk11nHbGawiBqsWa4mJig2F\nrHmwjpA7ytv/eZZzu3JfTVu0pYQ7vzpaWPnI4828/eioxew939hKxfosk4cSmJ0GzE4DpaucrHqg\nlt4Tbp7//NzUF7mU2u2l3PKVDYgX3UgTCq/84zu0vZW9LtDHf30XOlPq8THskfnZB3el3oJOZNPH\nlrLq/lpETbpTpNGhw+jQkV9tpeHOSrZ8MsL+H53h/OvTC/MEKF3tZNunl1NQ78jYJ2oYqRFUsiKf\n9R+tx3V6mIM/PINrBgLGYNez+Y+WsvSOyoz3eBFzoRFzoZGSFfksvSNVdDQ0FKV5dzeNL3bg78tt\nwmMqY+pMGnQmzayOO1+Zt8IlGbskhlUQ0BotxCOzv3StdxRSuulOzKW1GfskvRFJb8SQV0z+0k2E\n+zvoO/R7op7cinwJkobClTfgXLYZUWfM2ubSsWxVyygGhs+9Td/B2c1N8B54C+uqdZMWoNSarOQv\n3URe/QYkQ/ZQBUFnwFrZgLWygaL1tzB06k0Gj2dWHL9WqdWuxCI46EycpV6TKpoVU2UatBtnLFzm\nGiUSRVt07a3MafXWBdEyQ3q/9Qxln3uAgf/aRcIzPycznJtuQmO153xcqL2F/pd/dVnzJ5NylN4X\nfkHlB/8YjWnqJQEuIojilM/Xpw6hohJk/hSnPfFMa5pwAajfUc6+750adzWi7qYydn5hHZJuejbr\nZqeBHZ9fS8X6QnZ/Y2Zhadbi0Xt+8bK87KJlHHqOzr0RwVjRArDrfx8e1356LKY8PZYiI7Fggru/\nfh3Fy/KmdJy50MitX9lA/iJbmrCbEgJs/vgy1n1ocU6HlazI577v3MDBHzdy7KmWyQ8YQ+ESB3d9\n7TqMjtxz4swFBtZ+cDHuVn/OAuKhH+2Y1pgzHXe+Mm+FS9Tbj51RRzFb9cpxnbJmQu1dn0DU6qfU\n1lS8iJq7HqH7jacI9EztQ68126nc8RBGZ1nO5+bvmNjSNeruY7jpcKqAo96EqDei0Zsv3NyyJxU7\nrrseQWfAvv46go0nSYazr2SZyxZTsGrqRYQEUaRw9XYkvXHWxdbVSqFYweHYy8TV2IhwiaohdGQX\nrzNB0olZbUQvkmu4gaDRzIo169VGMr6Q9DsXlH72fuT2frRFdqJNPfj2nqT4E3ciSBKSzcTgY7uJ\nuYYp/vgdCKKIccUiQsfOM/DoLko+fQ+CTsfwr/Yi9wxR9LHbEQ06lFAEAMdtG0gGwwT2NyJIEuVf\neIjubzwx7rloTBbsqzfi2qLvAAAgAElEQVSNu3884t5hXC89fUVMXxJBPwO7f0PZvR/J+VjL4hUE\nmk5OuX2+WIwGLRE1073tStB1eIDgQARL0eh1U2OUKF3tpOvt7HWVBs55EbXjX7+SMYWoP0ZCTqK3\naDHYsz8ULr65fMbCxXzhvPNrbNzzja05Hdt5YOr5SdOhdnsZt3xlfZpoScjKlEXLRYoaHCy7a1FW\n0RL1x1CTKsa87M9Z6z9aj7vNR+ueiSNMLuWmz62l4c7KrPvikSQRj4yoETA69FnF63WfXIbRrmP/\nj85MeUxriYl7/3krWmP2x+aIRyYWTiCKAtbS7JO9UV+Mtjen/j4vjjueaLl0TJ1Vi96inbVx5zPz\nVrgEupspXn/ryOuitTsIDXRMGj6VC4b8kjTREnH34mk+QmSoh6QcQdQZMOYV46hdjbksVVtB1Gip\n3PkR2nf9F+GBiWfNJZ2e6tsfRmdNT/6MB70EepqJuF0ocghVVZEMFgyOQkzFizDmlxALeQm52ifs\nPzzYRXgwcym74aHPj1usM3j6BIbKRQQbJy6i5Gs9QfHanWhMVlRFIdzfTrD3PNFhF/GwHyURR9QZ\nKN92H0bnaAhD/tJNeFtPEBnsnrD/awVlzOqTVtARZ3YejqvWO7nu4cWULLUjaieeWfzOrb9HsloQ\nzaMXVE2+HSVclNFWtJqxbr+OxIB7Vs7zasI/3I4oaVCSV65y+LsRXZED95OvEesfXc3q//HvALCs\nr8e8vh51/xlEs4G+7/6a/Hu3EusbxrC4DNcPXkBXnIfzwe14fp+yGnf94LcYG6pw3L6BwL7TFH7s\ndgL7GzE2VBI8mt0i/CJ5669PCfNcUFX6dj2DErtywjbU3kyg5QzWxctzOs6xetOUhYuCgohEkuS8\nEC0AqqLSvt/Fyvtq0raXrx1fuARcYc6/0cviHan6cFF/jM5DA3Qe7Geo2YevL5QWCmfK17N4Zznr\nPlyPwZb+kGjM0xPxTP//bi0yojNpueurm9AaJRKyQvPubroOD+Bp8xPxx0fGcdZaqVhXyKItxSiK\nytB537THnYysoiWS5MW/PZhzXzf82ao0YeJu9XPsyRa6Dg0gh1Lvz5Svp/7mCtZ9pD7jAfuGP1tF\nx/5+kvGpTQqMFS3xSIKTv2qj5fWetJwOQRQoWupg5ftqWLwzvVbg6gfrGGjycv6NqYWq3fiZVRmi\npe+UmxO/bKXn2BDxyOg9Q2/T4ayxUbbaSeXGQoouCLqmXV1Tfo+XjjuVMWd73PnMvBUusneAQNc5\nrJVLgVR+SM2dj3DuyW+iJGZe4VvUaKnc/uDI68HjrzNwfA9pV7OQD9nTj7f1BI7aNZRdfx+CICCI\nApXbH6Dl+e+TlKPjjlF+/fvSRIuSTOA69Du8LccmDKfSmmxoTFbmIsjYvHQFyUh40vABVUnSf2Q3\nkt6It/VY9vcZ8tH24o9TRUJrR79c+fUb6FkQLgwpvSzVbqAjkVo5MwoWajQrGUzO/G9T0uDgvm9s\nTLvpZGO4I0jfmdTDomnDaux37Egl5gN5D9477nFqIo77Z89kbF9zbyXOaguvfrcRQRSoua4AR7mJ\nI093AKC3asmrMONqvDrDrXrOvkrt2vfTcepF4vLcuCqZ1i9HNJsIv30SwaBDjcYQDDqUcBTJZCQZ\nDCNajCjBCJLVQjIQRLJaUKJRJJsZJSqjRuMIBh1J3/wMxRqLEouniRbRqKfoo7eQDEeR7GbirmHi\nngCqolD0sduRrEZ8rx/HvKYWxy0Xwiz7htEW2oj1p+LT4xd+JkNR1LCMZDViXlOL54WJH7zsqzbm\nfP6+k4eR+6cfiz9beA68jnXxMnKp82IorURfUII8NHmIc4VYR1idf5+poabMB3hnXWZew6Ucf6oV\ng1XHmefbaT/QP2GyfXhY5sQzrbTu7eO+b12PpXB0dafhjkqO/iL3sKKLmAsN3PiXq7AUpyaNfv7w\nK1mFkByI4e0McP71XkRJwF45fl7OTMkmWmLhBL/78oFp5X9cKlqO//I8B3/SmPH3Dg/LHH/6PB0H\n+7nvX69PW+Uy5umpu6mMplcmvzc6qixprz2dQX73NwcJuDLDoFRFpb/RQ3+jh7a3XNzy5XWI0ugk\n303/cw29x91EvBMLU7PTQMXG9MLVLa/38Oo3jmb9XMn+GL3Hh+g9PsThn53DUmSkfmc5rXtzm3gf\nO+5EY87muPOdeStcAHr3P0+tswStKRWLLEoalrz/LxluPoy3+Six4PQfjhyL16KzpUSFt+U4A8ff\nmLC9t/U4GpNlZBVIY7LhXL6VgaOvZW1vLCjHWjnqw68qCh0v/2zSVRqAeNhPPDw3McbRng4Qphbz\n7G2dOPkRQFUV+t5+EWtVA6ImNYtiKq6a8Xm+G2iNn2SxdjUbdLciILBJdzsupZ32xMyruq//QDWi\nKNB5eIi3ftKMzxXm08/czDtPtXF2dx/1Nxaz6aO1nH+zf6RIZeD1fYT2v4O+vgbnHzxA8MA7JIfS\nb1IqKko4TKy1i4Q382GhaIkVVQVRElCSKsFBGUd56oYsaUU2vL8KT3cYV6MXvVnDpg/XIGlEzrzc\nS36VGXupkb5GHwNNAa5/ZDGqonJmVy/9zfMjpt6aX4WjZCn24nrCPhfxaGDcSYbzR56e3iCShNzc\njvn69agRGcGoR42kbpzxHhemzauQ8h3ITW2o8SQ6bRlqPInc1I62vARBIyHZrSihCOF3TqPIV0F4\n25j7rHlNLbEBL8PP7cO+cy0ahxlUFVGjof+J11BjqcmpmGsY/5ujq8PGJRUY61MJ59rC0RwV35un\nsGxciiAKJHwTG7nkutqixGK4D76e0zFzhewZJNjahKV2aU7H2ZatZXDv7ydt51GH8KqTW7pfbgaa\nM69FeZUT5/sMtXh54cu5hZcHByK88S/HuecbW0a2la0umJFwESVxZOWn8YWOKa3eKEk1J9e0XKi7\nqYybv5wuWuRAnBe+fIDBpplNODW93M2BScKvvF1B9v3HaW7+0rq07VVbiqckXG78zKjLnByM87uv\nHCAwEJn0uNY9vTiqLGx6ePS7ozVqWHV/LYf+c+J7clGDIyMU+/B/nZuy81xwIMLRJ3P/DI0dN5cx\nZzLufGdeC5dENETT099GECUKVmylYOUNSAYThau2U7hq+0g7JRHDe/4E7tNvTUnM6Kx5lG5OOcoE\ne87Ts29qNU2GTr2FxmDBuTx1UStctZ2wq4NgX+uYlgLVt/7ByCtVSdL0y38lIV/5xCjZNfvKOylH\n8XecwVG3BgCdNR9Ro52VlbGrmSQJzsWPcI7ZrzlQd30R7tYAz/7V4ZFtEX8cvVmDuy2Auy3AwcfO\n84kndlC2Op+nP5eahVZkmcipswT3HCB8/DSxnqkbTay6p4JYKEnIE2PHnzbw6nfTL/bJuMLZ11ws\nvj4Vfrbu/iqGO0MEBqIIgoC10EDr/kE2PlhN19FTvP1kGxsfrMZozx6XeyWIy0GaD/18TscIv30y\nZThSVkT4aCOmdcsIH20cMcuQO3pHzTPG/AwfOT2pscZ8oPdb6at1Xf/wWNrrwIHRz47vtZTVff57\nt+F56TBqLI4giRdyVX6RdlykqZtIU3fG73JbH/n3baXv27+a8LyMZdU5vhOVzl98f05tj3PF9ftf\nUvuJLyDqp5abCeBYex3+00eQh7OHVl1kPooWAE+7H0VR0x62zYVG9FYdciA2q2N1Hxnk3EtdI65M\nZWuds9Lv7//2UM65I9NBSShZcxqzCZawR+b5L+zH2znzVbaTv25j3/cmDkG/SPPubmq3l1K9ddTm\nu257Ga9KR1CS41/bbvzMasrWpP4fiWiSxz/yCvHo1MN6jzzWhLXQSMNdo5Or6z68eFLhojNn3qME\nzdzngI4d93KMeTUwr4XLRVQlyeDJNxluOkzt3Z/KyBkRNTryl24kr34Dw01vM3js1XRXsjGYCkc/\ntJEsOSITERnsBEZnY8wl1RnCRZ9XhKgbtXOODHTNC9EC4Ni2HTUWw3d4do0OMmalhem5ubyb0AtG\nFmmWYRasCKT/PY7Esq/UTRVVVRHHJB3KgRjWotHPnaqouNsDlDRkuid5X9yd85iVa/L43TdOoSoq\nd315FXmVZpbfXoaj3MRwRwhvb5iVd1VQUG1msC3ImVd62fpwHb7eCP1N6bOHBTUW6m8sRtQI88oE\nwDd4/vIMpKqEj6RmJi/+HLs/68+xv7+LCB1rIf++67FtXY5g0uPdNXHB4YtYtyzDev0K/K8dR01O\nvJJsW7Z6wv1jifZ1E/fNr7BHNZkk0tuJuaY+p+NM1fWTCpf5TDyUQG9Nf5DT6MRZyhhMJ+QeDY0W\nNSIavTSjeiqhoSgdh+ZetEAq5GssdTvKuOXL69Nm70ODEZ7/wn58vbNTaqJ1irkiFwn0Zj4T6Sw6\nor7x/6OLto3W9+s94c5JtFxkoMmbJlymwnB7prDb+qnlvPT3b08otGbK2HEvx5hXA1eFcLlIUo7S\n/Ox3MZdU46hdjW3R8rTkekEUcDZsxlaxhI7djyP7slsJ6uyjwkf25zbDFB3Tp86WORtjsKULq4j7\nysdGj5BMkgznKKIEAVNhBcaCCgyOIrQmK5LehKQ3IOmMoNEiigtV3MfSoN2IgoIr2Tnria6BQRl7\nsRFBFEaWjj3dYcpWpru6SFoRaZLE/any4v8ZTfD93ddTv7/+vXQbyz0/OJf2+qVvnkbUiCgJhbZD\nqe/O7795auR8VUW95i/CC6SQOwfo+27uNVkCBxrTVnDGR8BUvSS3vptP53w+l4NIb3vOwiX3mi7z\ni0QsiZ4xM9BzND+WGPNALEySSzgZfSfdl60uTjyUfu7ZREvAFeb5L+7PmhcyHVRVZaglNyOBi0n7\nl6IzSUTH6cZckKpxc5HpFpP0T0OoDbX4CLjCWEtGzW2qrivmvm9dz/7vn55RXZhcxr0cY14NXFXC\n5SIhVzshVzt9b7+Eo3YVzhXb0FlGH9i0FgfVt/0h55//QdaVDumSWipJefLYyEtRxiSpa/SZ1rbi\nmG1zXTwzF7wH38KyYs2Uwk1ErZ6CFdvIq1+PxmiZsO0CmViEPA7IL5Jk9h2q+s54cZSXsWhDAe1v\np8R3z3EPtVuLRsRMyTIHpSvz8HZl//wJkoSuqhwpzz5u3H/o0NEZn+t41ZGvtMtJ2ZKbZnR8b9PE\neXELzC/0hcU510EJd16mFbgcmUqi/VgMRblb8s8n9FnCdRKxq2PSw33+8uXwxS5xmqraXMzNf5Uu\nWnw9IX77xX0EB8c3FsqVQF8k5xWpbI8fE1n6F42xWvb3Te+5KhbK/X6sKiqH//scO7+YnpdT1JDH\nfd+5gd4Tbk79qnVSE4jZGHeux7wauCqFy0WUuMzwucN4mo+Qt2QjxRtuRZRSFzeNyUbBmptwHfpd\nxnGiNOpmkavtqZJMj6cVstSAkTSGtNfzqTaEY9NWEsHgpKLFkF/Cops/csHdLB0lESMe8JKMhYmH\nAyiJGOaSmowQvmudBDEkQSKpzr5wad7jYtltZVRvHhUuja/0suXhOv7HszcT9sSwl5kQRIFzr2Xm\nNWkK8il45ENonBP/z2ZDuMxXyuq3T95oAhaEy9WFqbIup/aJUJCYZ+4LAE6HmDv3XBSNxYbGZCER\nnhu3vLlElAQ0hsxV/bErIxOh1Us46+w46+zkVVswOnQYbHr0Vi0agwaNTkTSS2j10rQLV47HbOfh\nTETswkpG4RIHt/1NemFJT0eA335pP+Hh2X0miXhnTwSNh604vTbKLX+1nlv+av2cj3uRple6KVmR\nz7J7FmXsK1vtpGy1k5A7StOu7klzZnIdd6xgyjbm2d93vGsKTE7GVS1cLqIqCsNnDyF7B6m+/Q+5\naBWZt3gt/W+/lJF/kUyMfmkvCp2pImrSPd7VLKJkrLgZe8yVxPv2fky1E4cYaM12am7/WFqeTjzo\nxd14kGBPM7J/mLHr3pXbP7AgXMbQljjNcu0WuhLnkNVoWrhYSJ2ZP3/7wUGe/19HaDsw+gAT8cr8\n7usneO8/rB9J6us64ubIL9szjne851ZEiwXf8y8T6+5FTVx7dUu6G1/J2KYqCSpX3EnI20fI00k8\nFkZVFLR6E2ZHOZb8Ktxdx+hr3X8FzniBmWCqqs2pfbR//lq6J0IB1KSCIOX2gK1zFl2VwkVnybyH\nyoH4lGb5q7eWUH9rOVWbS9Dor0zupTyNWf7pEg8nsJWauOtr12WIvf4znlkXLZAq+jjX6K1X/jlq\nz3dO4G4LsOUTy9AYM4W02Wlg3YcXU1hv59Rv2mbNjOHNfz816ZjrPryY7sODszrufOVdIVwuEnK1\nEexpwVKeejAXNTr0jiKinvRldeWS8DApS6jXRIi6MWFgWULNkrH0bRpD9iqqVwptfgG0tYy76lK8\n/tY00RLsaaHrjacmdgmbP/nV84YGzUZAYIV2W8a+PfLE7keToSoqrfsyE23b9g/w+/9zHK0x5S52\nsYbLWHRVFQT37CfwZu7Fxt4tuLKID3thLe0nnmeo61jWY5zlq6hZcx/u3lNEg/NzNn6B7OgLcwuV\nkgfn980/GQ6isdpyOkZrnbj2yXwlvzpz5T84OHGYt7PWzo2fXUnx8vkwoXb5QnlEncTdX9+atdp6\nw11VuNv8nPp126yOmYjNvXDRWebH4+rp59pof6uPDQ8vZentFWl1YS5SsbGQio2FuM/7ePvRJjoO\n5B7ameuYczHufGV+fBJmkfBg94hwgeyiQfaNzlLrHYUZ+yfC4ChIex3zD2e0iQXTZ9MNeaUZba4U\njm03Ivf1jStaRI0Wa9Vo/RlFSdLz5rOTWhtLutwE4LXAHjn3ROPZ4Nyrk1teC1oNSe/8qJ0ynyhd\nfCNn9z867n53z0mKa7ZQVr8d/9Ds3vwXmDu0NgeSwTB5w0uIuee5cImEchYuubafLxQ3ZAqu4dbx\nLXwrNxZx+99uzDpDraoqno4gw21+/H1hoj6ZqD9OIpIgHk0SjyRYemcVy3J0npovVKwrmHD/tj9Z\nga8rRNc7V5fDnKhJf1j394ZJxudeMGUj5I6y51vHOfp4EyvfV8PSO6vQWzKjd5x1du786iba97nY\n8+0Tkxa6nI0xZ3vc+ci7TriMTe7K9sAd7u8Y+f1Sa+SpYCxKj28MD3RktIm6+1CS8ZEwNFNxJaJW\njzIPcl28+/ZOuF9rtiNKox+LSH/nlKyc9faJL5bXOiIiClc2Gf1S5PZu9IurCR2evMjotYTJVjJp\nm2h4GEdRbo5OC1xZ9M7J/69jiQdnFs4516g55mdCKs/laqSwIS9j22Bzdlcle5mZO/5+U0aeStgj\nc+wXzZx/o3fScKlFW3L/vMxHzu/pZfCcly2fWj6yTRAEbv3bDTz72b14O6+esMFYMD0E/9V/OjJt\nZ7HZIjAQYf8Pz/D2o+eo217Gsnuqsq7wVW8rwVlr47df2j/jPJSpjjnb484n3nXCxZCfvrqRrQJ9\nPBIkPNSDqaAcU0k1WpNtSpXqBVHCvmj0AqDEZUIDmXVgVCVJ2NWBpXwxkApZy1u8Dnfj7NZOmQvE\nMWYDydjkH3ajsxSN6eq8Ic4lAgKLNA2USbVoMRAnSl+ynY5EY84i5sPfzww3y4Un/mRf2mvf87so\n+NRHcNx7O6FDR0l4vCPVyq9pplAjRW9wgDJ/ROgCk6MrLJ680RiS/vktXJRp5KWJhqtvZdxg11O1\nqShje9c72Q0KbvjMqgzR0nfSzUv/6+2sFrzvRkKDEfZ+99RIqJApT8/qD4yaU+hMGu766nX86rN7\nkf2XzzhgJsj+9P+dwXblc14ukpCTnHu5i3Mvd5FXbeMD/+9GxDFlCKwlJm7/u008+5m9s+KoOXbM\n1e+vZckt5XM+7nzgXSVcjM5SLOWjPv2yZ4B4KPvNZ/jMPkzbH0QQBIo33Eb33meytruUghVb02yB\nPc1Hxl1FcZ/ZPyJcAIrW3UywrxXZO7+XZ5NjVlc05szihWkIAsXrb5vDM7p6qdYsxy4W0Bh/h5ga\nQS8YqdIsZZFmOW2JqVUYvkhR/ewKw7wH70U0GLDcsBnLDZvHbdf9pa/N6rjzncD/z955BsZR3Xv7\nmdnetCvtSlr1YtmWLPdeMWAwGEPohARIQs2bAiHJTW4KCYG0m0IaSQihhE7o1YABYzC2ce+2XCTL\n6l3by2yb98NaktcrWZKbJOPnizQz58w5s7szc37n/IujFnvxHJqr1/UiYgTsRbMwpGbjaq0ckv6d\n5fg4MnfXQCm67X9OQU+GFlE5uGA0w4Gyi/OShIiz3tfnakHutETz76AnzPv3bx6UaOktgtlI4uVv\nrCJ4hCBZ92gF5lwjBbN7BHxKtp7FP5vOsh+v6zNk/XDi6FUyY8bw8h3uwnHIzfM3f8SsW8soOS8n\n4Zi1OIUxi/OpWHbopLf5yZ+2sfmZfae13aFiWAoXlT6F/PO/hOvgTjx1FUie/pcDU/LLyJ5zWUKi\nqI59fTseu2v24m+rQ5+eh7loPCFvJ63bPu5zxtVSPJH0yed3b0elAB271/ZaFsDbdBB/Sw36zLhp\nmahUUXzx12hY+xbu2n5C5QkC+ox8oqEgkuP02lmHPE6iUqA7aIHemoM21Z4U4KCLnDmXY8gqOp1d\nHDFkKgrYElpBSI4/cH2yC2/YwVT1okELl5fuHpgTfSwio0tVM+XKAvKmxpOjBtzJL+xQUwuhpuFt\nwz8UNOz/mHHzbye9YDrejkOEpPjgSK0xYkzLR2NIIxYN03jg46Ht6FkGhcKQ7Nz9eUQYYcJFk6Km\n/Mrk98u+d5NNtPviwAd1x8zG3hs68/CZzT8ejo62JsdkVvx2C5f/eR7W4p5JsOxJVuZ/ewKr/jL8\nTYaPNgvLKLOw+60h6kw/eFsDrPjtFtr2O5nz9fKEY6PPzz5lAmKo2j3dDEvhgiCgTbOjTbOTOf1C\nwn4XgdZ6JFc7QUczsUgYUalCoTWgsWRgyilJCsXra6rGsb/vHBSyHKN+1SuMufpuANInnIMxezSO\nA5sJtDcQlQKIKi261AzMxZMw5hyZA0CmYc3rhAPHtg+tX/UKxZd+HaUunvRMVOvIO/c6JEcrnob9\nSI62eAQyQUCh1qJOSUObakefkY9Co6Nh7RunXbiAjPPgDqxls+KbgkDBBTfSsul9PA37iIYkQEBt\nNGPIHoWlZBIAQUcL2tTBm2OcyYgIRI7K4RKRI4jHEYKtcdfAbHltRSYuu28Kgijg75DY/NIhdr5V\nm1TO+eo7g2o/c0YeglKkY0czmlQtgiCgNKrxVDuQD4t9pU6J2qRFaVTjrXWhSdUSaPOh1KuIBiMo\ndCrCHonYEDlUDgS/q5mAuwVdSiYa/eSk4wFPGzU7l+Fz9h8A4SzDB9UI9e042Yy0FZeFd0/EkJYY\nVEHyhql4J/mZ1hfNe5ID6PSHtaQfS4MRSDgQYfnPN3DlgwvQpfaYhJddko+j1s3OV4d3sBFnvRe/\nQ0J/uO85k6zdyZaHKzteOUjR/Czs5T3j0/Qxyf5aZ0q7p4vhKVyOQqU3oyoc+IPE11hF7ccv0l8I\nwrDPRcTvRamPm3/prFnorJces44ci9G45g089fv77Uc44OHQB0+Sf971CcJKk5qBJjXZZncw2Kde\ngEKrR1RpUKi1iGotCpUmvn1EJDW12cbYa79PNCwRC0uEfS5iIYloWKJl8wfIseRBZPuOVaQUlKLS\nxz9zpc5AzoIrgXiwA0GhTAiC0FGxHufB7YxaeseA+q7U6LFNWohCqUGh0aBQaRBUWhTqRP8aU34Z\nY6/5LtFwiGg4iHy439FwkLDXRduOVYP+3E4njlgbo1QTqA7vJkIYJSqKVONxxE6+uWDmWDMzbxhF\n8ZwMPK0BNr9Qza736omGTo4JgOQJYrCbkGMxUkalEXIFQYbM2XlIzgAhl0Te4tG0rK8Fme5ytklZ\nRIIRtGl6Qh6JsC9E06fD+wW5+9N/Y7BkYbDkoFTHJx0iIR8+ZyM+Z2OvdbJ/+W3CTXGb+3BjO87X\nVwBguXIRztdWHLM9pc1CpD0xbLXlykX41mwh3Dq0zqd9YZo/EduNF1Hznb8Sk0JYLppF6pULqf5/\nvz+h8+rGFRGqbyXqHlhWbNP8iRjnTkA06Gi499E+y51dcTmMODR5TI6H6V8ppWh+ckTOrc8dGJTZ\nV7CXFedjYczQkZpv7L/gCMTTGmD5LzZy2R/mJpjfzfl6Oc46H3Ubh7cpe/2mNsZcmAuAIV1H3vQM\najcMb8uBhq0dCQJCqRFRqMRT7m8yVO2eDoalcIlFpOOawY/4vbTuWHl4pWVgKvzgO49gn3ERKUc4\n3fdFoKOR5g3v4W9LdsjvC8nZxsFl/yZ98vmkjp6aELHrWMiynJBv5mhSS2cOaPZMEASUOmO3b47O\n2pPLoHXbyl6FS0TyU/PB0+QtvA6NJVFgHd1m88bldFSsQxDFhEhqx0Kh0WIt7duvorvvoohSn9Lr\njzTsG/7CpSqynTLVTOZpvtAtXDrlZvaGN560NrLHpzLzhmIKZsTtup0NPp6+dc3gbJaPNZg57IQu\nCCJqixZtmh5jroX6vZVYJ9qRYzJp5XZCziAxKYK/yYt1op1gux9jroVghw+VUU2gzdstcEYCPmfT\noFZVYl4/bf98IWl/f6JFkWLEeO4MnC9/MKh6w4Fwhwt1fgbBA/WoC+xEnH2Hpx0oKedNwfHKJwMW\nLp7VOwjuryXjW9f0WUZQqhDVI9v05/OEUqNg4XcnUXJ+TtKxtn1Odrx6cFDn0+gHN8yZePWo/guN\nYFoqHHz8wDYW/bgn67wgCFx4zzRevXM1ztoTv49PFTteOdgtXABmfG0s9ZtbiUWH76qLSpv4fg0H\noqdFPAxVu6eDYSlcolKQqrf+hcaSicFegM6ajdqUhsqQglJnAkFAjoSIhSVC7k4Cnc14GyvxNVUj\ny4P7YsJ+N3WfvITWmoWloBx9VjFqQwqiWkcsLBHxe/C11eKt24enoYrjSSQVDUk0b3j38EpGGYbM\nQjRpdpQaPaJai2TZwvIAACAASURBVCzHkEMSIZ+LkKsdX2sN3rp9/ZqinUokVwdVb/8bc9F4zAXj\n0KZlodDqkWMxopKfsMeBp+FAd6Q0ORYj2N7Y7dNzFgjJEttDn6IR9GgFHUHZjyQfO2naQMmfamXm\nDaPImRSfUek45GHjcwfZ/3HzgJbOBY0a85JF6MrHoEjpeza6yznfUdGCY28LyLD/2bgJZmCFFzkm\nx5frZbn71uja31VuuC/nnypMi2ZimDuF5l8+DIBhxnj008qQI1GCew4SqmnCdNFcVFk20m5cSmBn\nJYHt+7rrdT76KqGmNhAEUq9djKjXIqiU+D7bjn7mBIhEUKSZcb2zGmn/odN+feHGDjT5doIH6lFY\nTES98cAemqJsUq9eiKhREfNLdDyznHCbE1WGBdvXlhJucaDOtYEo0v7YMkKNbagyLKRddS7asfnY\nbl2KHI7iXbsLz+rtWC6di2FqKXIsSswv0fbvN4h6B34fjTTzqM8rSo2C0iX5TP5iCQZrcs4dv0Pi\n/V9uGvSzJKMsleq1A0vEZx+fRvkXzvx3WOXKBiy5Rqbd1BPMSKVTsuT+mbx216cJjv3DiY6DLuo3\ntZE7PT5RZysxM/uOctY+NDif0dOFIArkzUycgHc3nvpx3VC1e7oYlsKlC8nZguQ8ucuA1903jrKF\nPTlH7js3Pmsf7GiiuSN5hjVrjIkbfjeeN//gwNNwYoOvSNBH575NaOR9fPG743nzD/vZu7bjuM5V\n8dxvTqgvA0GORXFWbcdZNTDHverlTwyonOTuZPdT951Az0YWkuxHkk9ODPWiWenMuGEUWePiCdla\nD7jZ8GwVVWtaBqWpzRefj3HONKTKQwR27ME4bya+TdsQ1Go0JUXIHi+O199NrHTU+bsGEEcPJPrb\nHikIwrHNao6cJBGNetK/+UUAgrsr8XyyGc+KDaiy4i9YhVGPccEUWv78TEIAEO/K9einj8fx0vvd\n+46sB6CbMBrZF6DjxeUorRZUWTYEUaD9qbdQZ6VjumjukAgXqa4FdUEmCqOOqMuLKjNuQ2398gU0\n//kFYn4Jw7RSrNdfQPODLwOgLc6h89VPkCrrSTl3CubFM2l7YhnhVict/3qd7J99LS5mmnuei55P\nt+Nc9hnIMqlXnoNxVjmuFZsG3E9BOaxfc58rFEoRpSYesUttUKIxqcmblk7WJCvZE22oDb1/V36H\nxLIfrcPbOviJn9KL89n+ykGC/SThy5poZfHPp/eZlfxMY9Mz+7DkGxm1sMcKIyVbz+J7p/Pm9/sO\nPDTUrP77Tq5/oidQ0oQri9CaVKz51+4Bh3YWlSK5U9MZsziXfcvr+jWRW/zz6TTv6WT/hw39/o66\nEWD2bWVJZocH1ww8m31XuzteHsQq40lod7gzbJ/oc7+Yy4XfKO7ejkVkPB0hnrh7O86m4HGf940/\n7Oejxw9RtsDG+bcVDrieQuzfoXrel/NY89zAzcgGcs6znFmIKBinnsWu0OBeDKPmZzLrxlGkl8Sd\njBt3Odj43EEObeg9l0F/aMtH49u0HcdL8bAshtlT8Xy0hkinE1GvI+NbX0OVmY5UPfDf85lC+Tlf\nR2u09StcNi37Zff/fZmKdaG0mQk1tQ8oT8zRqNLTCLW0AxDpcKLKsnX708QCEqJmaMygYh4/iuJs\n1IVZhKobUWXGV/9UGWnYv/+lnnLOnpm+iNODVFkPgFTfhn5y/4k89eXFGGaNQw6GUKZb8G8fXChq\nUTmyQ9ueSVz1jwWDrtN+wMUHv9yEu3lgkz+NOzrInmjt3taa1Vz6f7P5+A/baK9KTo9gyTEw4epR\nlF6Sj3j4nXykE/gZiwwf/3EbpkwdGUck+MyaYD1GpaHH1ZhsRjr6glwK5trZ/0Ed9ZvbcdZ64qtG\nMih1CrQpGlJy9KTmGbGXp5E1wdod8rrqo4Z+20wtTKFofhazbx9Ha4WD2k1ttO5x0HnI3Wsy09GL\nchl/eWHC5wqHA0ssG3hEvK52i+dn9dumPk1DzpT0k9LucGfYCpcuVj1Zi6s1iNaoJHusidsfmsJD\nN2/G6zi+pUzJG0HyRugoHNjMTdN+D3+88rN+y2kMShbdWjgg4TLQc57lzENAwCokO5z2x6W/mBL/\nR4bK1S20HnCRPSGVghk2FEohIVhCb6z4y+6EbYXJiFTV8yCTpTCiXgedTmL+AJ5V6zGdMwvvui2D\n7utIJtVehs6UgSzHCAc9qLSm7lxNXclZvZ21uDsODeq8kQ43arsNBCFBvMiRGILm2KZM4ZZ2NIU5\n+AGl1XK44vBYxYr5guhKC/BvP4Bh9ngAIh0uGn/5RO/lpaMdpfufvLFcNo+G+/5DLChhWToXYZBC\nRFCc9W8ZiUSCUba+WMn2FyoHZZu/8fG9XPanud0iBOJ5LK5+6BwctV6ctR6i4RhakxpLngFjZmI+\nEEetl2X/+xlfenJRUv6YM42IFGX5LzZy1YMLMKT3JCedeHUxO14ZnC/R6WTVX3Yw/64JCd+xWq9k\n/OVFjL/81KVnEASBzHFpCZnqI4Eoki9MOBBFoRTQWtSodMlDa1mW+fRvOwg4Bu/nebxtnmi7w5Vh\nL1wqPm2nubJnxu7ej89h0sWZrHl+eM0EF0+zICjOrqCc5RQjQMmCTEoWDC5wxdHCJeYPoND3vKhi\nXi/KDBuh+ri5ZNTpQpFqOfH+jjAyCqdRX/EhLdXrkeUY05b8hNo9y2mv347GkEbh+EsQFSpaDh57\n4kE06EhZMh91US7GuZPxrt2Gd90O0r9+LbFQCGlfLd41Wwg3taMwm7DeciX+DTuRqhu665mWqJH2\nVuP9bDvasmKsN1+BoFTi+2zbafo0+idU20LKouk43lzdvU/UadGOziN4oC4e6t2kH7CzfSwQQjTp\n4QhTsVhAIhaUEFRK9BNHEdhz6GRfxlmGEd4WPxXL66h4u4bAQM1yjqB5Tydr/7Gb+XeOTzqWmm88\nZsSw9gMu3vnpegJOicbt7eTNOLHonyMBf6fEuz/byBV/nodSF58UmH3HOJx1vmEbsavinRo8zX4W\n/WQq2pShnZhQ6hTdn1tfREMxPvnTNqo+7j0q5alo81S0O1wQZHl4TN3l5CRGEOkyFXv4ti1JwmXl\nYzWsejo+W6zRKbjtX1NISVez7uVGnE1BcsaZmHppFrs+bOXVX+/ttb1xC9O59r6ybh+Xo9HolZhs\naoqmWrjk7hJe+/U+dnyQfBNnjTGhNSgoO8fGjCuzeeq7O7qPHdrmTJgYHeg5ASYtzuTyH41h5eM1\nuFslLHYtBVPMPPvDXQmzT1/76yTSC/SsfaEed5uEyaqmcLKFhgoPnzx1epcGv3K7ibHjlPz0uw5u\nvM3IhUt0fPXqY5sypVkVfP+eFH763ZMf9vWe31j41U8Sw8wW3PBN1GnpfdToHTkapfKfA88gP041\nu89jAgI2MZtPpFcG1YeTjWHGFIyzp9Dy4OMAqHOzyPjWzXEH6KCEwmjEu+oznMuGNrqVymim8Oa7\nB1WnadmLeA/2k+S1D6Zd8lM2v/Pr7u1Ji75Da+0Wmg582r2veMpVGCzZ7Fz590GfP2XRXDyrNyFL\nIbTlownuPtD913TebDwr16HOs2OYPx3vyvUorJbuMnIwhNJmIdzQgrowh3BDC1J1/YDaVaVYKPzq\ndwbV18a3n8dX3X/Y9+GO0mCi6JbvDapOsLmRlg+G9h49FcjRKGFPsrnUmYpCLTL6vFzyZqaTXmJB\na9Gg1IpEpRj+TglnvZfG7e1UrmzA1378JuhnGVpUOiU5U2zkTcsgfYwZnUWN1qxBVAlEgjFC3hCu\nRj/Oei+tFQ4atrbj6xj8923JM5I10UbGGDMmux5Tph61SYVSrUChFoiGZEL+MPWb22itcHJwdeNJ\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+X48SmXWugenzdfzxJ62s+6hnAs/RGuXm76Uxbb6ejasSJ+zGTNDw+lMuPnwjPnY7Ugid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\nUfX+H9irYXn011azAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932cfea2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_corpus(\"Melodic Death Metal\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Brutal Death Metal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BMZId4UY1RKE8C5eYMqRwERCZZp1HrlSCJFjwa20cTLxHVA8NeHynkoz3EBGZ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YMrjHs2nzH1O2eesP460/zKw7PjsWQ50UqCEV2SSTM8cJpC4g5FYl6or1Pv8xpGhFweAHDULH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yNhy0tcjzXrnP+nHfPoZqVnUTwVZkU2TeEDOKNx97U/5qZHSgzfsSrzqFTPxKiw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PwnT/Vo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\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LQLDdgWvfCaxXX9GrjfRFUwjZ3XgO1PbloxoURuTdOmeWzKdXG5k1XSY3VwQB2tsjtLVH\nOHAowIebfGzb6cc/xFQ1zjFtspaSouTf/LH4eEvUdznDKlFUIDGuPDVDwlV1CFNFbF9QY/l4dDm9\n1alCTju+M6Oa7X2l85OPsUyZGXNnyzp3MZ5TJ/otctAbgZxrVyEa1X+8PadO4DtzeWc2VsJhOjZt\nIPeG22KWG8sryVy4nI4tHwxyzy5f7Pt3Yp2zUDX3UOaCJYSdDhwHd8csTxYGKY1AxE+EIP5I3ybs\nicYTDP0xNXOuDkt679X9hrowJ6tT65bkcSvs2u5n/uLYhtPS5Xqefery23V58R8ubrvLSCx9ivQM\ngW9838LXvmuhriZEW2sEryeCVisg6wXMZhFLukhmpojuvM2s//sTG01n+r9Tc/0qAwuW6DGZo3Ub\nzQJmU/R/TXy9h1584Rvq+cX8XnB7InicCm53BLdb4X//5mb3dnURB8+ROlqefJfsu5dhnj0e9/6T\nOD4+GN3VOG8ambl6ERF/EMe2I0DU4Cn58d3k3LsM94+jOyD68nwsCyfTsWYb7a92u3e69vRWYFWC\nIYId6gI31uuuRLKaqPvpUwRaoqkHXHtPIBdlkbV6Ie6D0TYDTR0ARDw+CEXw17X0qsu+fm/XDo/n\nSHSeIMpaTFdWYv9gD0p46MREjagdF0GAn//IyrN/zua2m4yUlkjoZQG9TqCoQOKKqVo+e5eJP/8+\ni8kTdJe6u6ocOBzkdEOYutOp36Z9ba2H7/+0ky9+s42f/yp1OTc8J6pQVPwIrDPmRr+8C3BVJdlN\nbIQTcjno/OSjmGWCKFJwy93IuQPZxRPIWXGDqgEKoEQidHz03gDaGDk4j+7H16huwGXMv4rc629D\nEJO/SKFNt5Kx4GrSps5Ket3DFSUUpGPzhjhnCORcezOZC5fF/D0aKOdyLfnCbtI12WRoCvp1faLx\nBIMzpi6WJctV3MRSFJR/IZvi7OpcrskoOzsi/OHh+ElORRHKxmmYPV/HVcv1zL9KZuYcHZWTNOQX\n9jRaBsLEqToWXS0zY7aOiokaCosl0jL6b7QkQjZAZpZIcZnEhClaZs3VUVqW+H6xbzpEzfcfp+2F\njWhzrBR+ezWlP70XbVZ3ElvjpFK8B2t7XOfcVYU214o2Jypbbpwcdfl0bDw44PdinFJGoL6ty2gB\nQAFvdQPymLx+KZF5jtQRONNB+rLuXRfz7PGIshbHxwPvazIZUTsu93zKxGfviqowrXnXy4uvuqlv\njE7+8/MkKsdpuGaZgYwMkT37k6sXn0xa28IsX6Wem2M4EgkG8NRUY6rsLS2stnp/ueVuSQa2HVvI\nXLQ8ZploMFD46c/T9v5anEcP9KteSW8k57pbEiow2bZvxt92eeVuUUVRaHnnFUq/8C3VUyyTr0DO\nLaBjy4e4jx8ZUHNaawbG0rGYJkzFUBLNRN25LbYhe7niOLibnGtXxTlDIGP+EoxjK2nf+B7euviK\nXvERkPPyMVdOxjxhCkGng8YXniKo+LEFmvsV4wJ0jafi+/4JUau+8JbyMbX1w37XI2lg0VKV3C3r\nB+dZvGWjn0gIxBiznooJGgqLNUmXYx4OrH3Vw5hyDbffo76LPkqUiC+Abf0ebOv3YJpaTv4/3UTu\n/dfQ8F8vI2glRFlLyNFTnCLiiLrjSRY9wVaQLFEDPmQb+A6fxmxAk53WFbNyIZJRR8je9zFt37CP\n7LuWorGaCdlcpC2agvdYPYHmoZVIekQZLnd9Kmq0rF3n5Ts/7uhRVlcfYvsuP/94wU0SVOVGuQhc\nVYdiGi6xCDlsg6byM5JQImEifh+iHHsZTNTJ5N54O5Zps7Dt3BxNEJogjidj3lVYZy9UrfMcvvpT\ndG778GK7PiIJ2jqjn2+cFXxddi75t3yaQEsTrurDeE7VRHPzKOpb8xqTGW1mDrqMTOT8Igxjxnat\n6I8Sn7DLhWRWdyUBkHMLKLzjfgKtzbiOHcRz6gSB1mYU1ch1AY0lDW1GJnJuAfriMRiKSnvcM0Fn\ndGW7RJ6IK2xDJ+ipCe/rkyRyVx22Tlrefo38VXf2eUy1vL824XiC1I6pGVfKpFlj9/fYkfjyycnC\nYY+wb0+AmXNiG31LV+h57m+Xn7sYwB8fcVBXG+Lr30lL2g7KSMd9sAbHxwdJXzYdACUYJuILoknr\naQCKZ1+HIMRAuQAAIABJREFUndEdv7A7aqhr0kwEOweW5yzs9hF2+2h9IfYC1bm2+opj8yGybl9M\n2uKpOLcexjC+mOa/vD2gPqaCEWW4lJ6NC/loU/yt59Hkq5cGz8lqIsEgojbx3u9g77Zo061IRgui\nXkbUyUiyHkEnI8oGRFlGkmUEnR6tJQ1Rr0fUyQkn8rnX30b28huIBPxEfD4igQCRgI+I30/E7yMS\n8BNyOrr+jvj9RAI+Am2tKJGLdxNsevMFClbfG1Nh7ByGkjIMJWVEvB689acItLcSdjmIBIMIgoio\n16OxZqDPL0bO7y1TfSEhh42mNS/Gmdj1DUEU0WXnIur0iLKMqNMj6eWz34W++7uRo+WSTo+UlpZw\nTJV/40GUgJ/w+Z+134cSCBAO+Ij4op+9EvATPPedeNwEbB1x6+0L7R++Q9ayGxKep8vNJzM3n8xF\nEAkGCbudhL1eIj4PiqIganWIOh3ajKxBT5o4kjjz2j8ovOuBuLsW59Dl5JGZk0fm4hUooTAhp42Q\ny0kkGIBIBEGnQ2tKQ0pL79PvGkCDvwpX2IbCxd0r7uNH+jWmij/zxbjjSdTJSCZzSsfUUEn0uPED\nn7rhsvLyNVwA1rziYc/OAHfea+Lm29UVI+MR8IHbdfm4d2ty0wl7uo0D98EajNN6BuJbrqwk1Gon\n2BrdtfAeqwMWYFk0hY41AxOx8RyqJW3pFQTqWwm7ErtcRvxBBJ36tD/iC+Dcepi0hZOii6C+AM5d\nsYWVLiUjynDx+BTMZsjKvHj/3spxWh6418T8OXpyc0X8foXjJ0O8+baX519xEwzGvymnTNJxzx1G\n5syUycsR0egEOjojnGkKs3W7n1fe8FAXYzv6we+k88X7eq8CVs5KvOtQWqzhlhuMLJwnUzFWg8Ui\nEvArnG4Is3WHn7887aRpCMgaRoIBvDXVmMZPTniuq2pwDZeca25RlWS+aAQhOtmW9dCPlcvTf/39\ngCbM3roamt54gfxb7kKQ4m8vigYjpspJfd4Ji0XIYaPxhb8lRYpVMlko/uxXB1zPhQiShGAwIhr6\n7g4RaG3m9NOPDrht257tKOEw2Stu6nPshKjVIloz0VoH3PwoF+BvaaLxxb9TePu9iPq+T9AEjYQ2\nIwttRtaA2teJBoo0uWgFLTW+/rlsnqO/Y+pSj6dHHrLzyEN9V1FLFW++5OHNOHlm1Lh2/uC4bv/y\nX2z88l8GpamYNNSF+O2v7Oze7mfiFB0TJ2vIypWwmEVMFgEB8AfA447Q2R6hrTXM6VNhTtcGOV4V\n4kR1kPBFetv99ld2fvurSz9GYlH8gzsJtjnw17UQdngQDTqMV4zFPGMcrc9+2HVex6ubMf30XtLm\nTyISCGFZMBH9uALO/PHNrnO8VQ24dh8n67YFaKwmPIfrQImgLchCEAQ61n4SPVEQkIw6REPU6Nfl\nZxLx+gl7/SiB6Ifc+c5OzLMnUPzDu7C9v5tghxON2YA8Np+I20/76z1zO/lONJK+7AqMk8cg6rUE\nW+34T7f2OMf+wV7Sl11B+lXTcG470tXWUGJEGS579gW4boWB++428eJrbuz9zAz7mTtN/OyHVs4t\nVHs8CkaDyKzpOmZN1/GpW4x8+VvttLWrZIIX4bV/5PQ6XpArUZArMWu6jrfWxZYf3LnHT2aGSIZV\nJDdHYvKEvq3eFeRLrHs1r6vPigIeTwSTSWRCpYYJlRpuu9nApz/fRk3tpU8o5ao6lNBwCdk78Tef\nGaQejUw8NVWceflp8ld9Om6+lYHib26k6fXnCbniB3he7tj37yLodJB3/eqUfh+j9A1/UwMNz/2V\nvFV3osvOHdS224PRxah8XTkCQr9cxc5ndEyNkio2rvexcf3lm4frQtwHa7HMmYBpxjhEg46wy0ug\noZ3G372Ke393HFygqZP6h56j+CefQZAE/KdaaPivV/Ecqu1RX9Oja7BedyVp8yeTtngqSiRCqM2O\nbV23omHa/Inkfal7V3XM//08AGGXj5Pf/mP0b7eP0w89S9atC8m8ZT5Smomw20egvo3Od3vLvzu2\nHUFbkEnh/7easNtH+4sf9TJc/I3teI+exjCxBPujQzOJ9IgyXB5/ysXKqw0U5ku8/lwuv/2jg7Xr\nvAl3SQCWXaXn3x60Igjw7Itu/vQXJ00tYSQJFsyV+bcHM5g6ScsfH87k3i+3xazz21+Lrqp/uMnH\nU8+6OHQ0SCCgkJ+nYfYMHePKtVQdj208vP+hj/c/jP5QFBdq2LCmtzxwLM40hVnzrodOm8K6D7wc\nPBzA61MwGgVuu8nIT3+QjjVN5HvfsPDNHwzc7WWgeGqOJ3QXGw3KTw7e+lrqn32cnOtuwxAned1F\noSjY9+2kfeM6VbW4UXriqanm9NOPkr3yJkxjxw9Km5HgpV+sGKoEOtuof/YJshavIG3GPAQx+Upi\nscjSFmEQLYQU/0UbLee4FGNqlFEuNzrf3kHn2zv6dK6/sZ0T3/h93HOUcITOt3bQ+ZZ6nY6tR3Bs\nTSyuEXZ6aXlmPTyzPnHnFGh/ZTPtr2yOf1pEwV/Xgv/U0BTaGVGGy/5DAb73kw4e+nkGRQUSv/k/\nGfzo/0vjzXd8vPiam+oTsR/iggA//l7UaHn9LU8PWeBwGDZt9XP/V9t4++VcZk7XsfpmIy+82tMt\npjBfw1c+b+b5V9389P/0VGA4WRPkZE3qJhDf/2lnr2Mej8KzL7oZV67l/rtNzJ87NHziI8EA3pNV\nmCZMUT1nsN3ERjJBe9SNK336LDLmX50wKLkv+BpP0/7Re/jOnE5CDy8vQi4HTa89h7GsgsyFVyPn\nFyW9jUgwiLvqEI4De/A1DjRvz8hGCYVo+/BdHPt3kbloeVTqOwVSyGGXC8/xowCkSTm0BGtw9yMB\nZTwGe0wlC41RRjLr8LcMLEB5lFFGSR66/EyMk0poeWropjUYUYYLRBXF9h0M8q1/snDT9QaysyQe\nuNfEA/ea2PyJn0f+x8H+Qz1VTK6YqqO8NOpr9WeV4LzGphBvrfNwx60mPnVrb8Pl5usNaCT4z98O\nLZeZT3b6uf9uE+kWEa1W6NPuU6pxVR1SNVyCtg78LSNLCvrSo2DfvwvH4X2kTZmBZepM5LzEAffn\nEwkG8Z6swr5/F97TA5GIHQXAU3scT+1x9IUlpE2Zgali0oDcfUIOG95TJ/HUnYzuagaGrtz7UCTQ\n0UbTmy+gTbNimToTU8XEAbuQhRw2vKdP4ao6dFa9L+q6XOPbS6FckTTD5RzDaUwZCq0U3TId14lW\nmt4bmGTzUCd9UgHlX17C3u89P5qWbISRPTWPGd+YzftfX9vruxVEASUyPL5w0SBjqChElLVk3rKA\nQGM7jq2HL3W3VBlxhgtAfWOIH/6sk4cesXPbTUbuuMXEhEoNi+bJLJiTw3/+1s5fn+k2UKZPjaqM\neDwKx1RcuQB27Q1yx63RzPYaDZzvITNjerQOp3NoSZa1d3b3Z6jIQLuqj+B65BeD1p7aD8j9z1/L\nlkcPcXxDA40v/b1fdVpLzaz6zUL0Fi1ee4Bn7hm6qxPnUEIh7Pt2Yt+3E601A0NJOfrCkmjAcVoG\ngqxD1GhRwhGUUICQ20XQ1olj/w589XVRJaUUE3LaOTGIY+NS42s8ja/xNLy/FjmvAENhMbrcArRp\nVjRp6YiyHkGjQxAFIsEASiBA0GEj2NlBoLONYEc7gdYzBO3J1dn31By/JN9D4wtPDXqb5xN02OjY\nsoGOLRvQplmRC4uRcwvQZmajtaSjMVlAq4neJ4qCEgoS9rgJu10E7Z3Rfx1t+BrrCTljGyYl8iQk\nJErkSZz2J3/SfuGYSp8xJ+54igQDhL2elI+p81EiCrZ99bRtO5myNlKJNk3P7Cc+B4ASiuBvcdK2\n5TgNr+8lEiOYWQmFR42WfiKny9z4zKfY8N13sFV3u7kv+6/r2fCddy5hz3qihJSY3+2KP97I+m+8\nPaQyzquhSTeS9+UbETQi3uoGWp9eP6T7PSINl3PYbBGe+oeLp/7hYvECmZ98z0rFWA0PfiedvQeD\n7N4bXUHKzIjO6Ns6InFTWpwLytdqBNLTJNo7uoP0szIvnVWg0cCKpQaWLJKpHKslJ1vCYhGQdQI6\n7eD4baeKT/1hCdmV0dihgDtER62D3f+o5vTOlj7X8eknlvHiVzYQCSfvyWGrc/H0XeuoXFHMvC9d\nvCLXpSJo64waJQd2Jz65H5TNtHLdt8eTnq9n5yv1fPB474nJ4vvKkLQCH/11+O/ciFqZCZ//EQGH\nDUQhKgu9aQ1+e3vCa83FFfjamwh5XaBE8Dc1oHi9ZFbM4eQL/9OvflgnzsI6fiai3tDva9WQZCMl\n199D7et/SUp9w42gw0bQYcN1NLlZo1NhrMTk7JhqeSe+MuWUkpsJBN1UN20YnH4RlWU1lWVhHptN\n7T+2D1q7yebIQ2/hb3ViHpdDyT3zsEwq4Mgv1/RYKLMfOcO+H750CXs5SqpoO9jM+n9+q9dxQ5YR\nS9HwyasVaOrk5Lf+cKm70WdGtOFyPpu2+rnnS628+Xwu+TkSn77N2GW4nCORa3O8cjEFftF9YVy5\nlj/9V1aXq1t7R5jaujBHqiJ4vRHS00SWLhoaGvoXy57njnPw9ZPo02Wm3lrO9b+Yw4tf/QhbfWLN\nfVO2HmuJaRB6efkgCPDN/13ImSoHL/1rz0ld7R4bj31+O6seVDfmNj1dm+IeDi7hQIATz/83ANmz\nlpC74HpOv/OPhNdZp8yh9ZP3oobLALEd3Y3nTC3F131mwHWdI+z3DBujZfHEr6MRo7veoYgfp7eF\n+o7dtDtTbxyb5Wxc/raUt9NftBo9smTuU98iDK5cfqDTw6nnYgcmj1k1BXeDnUgoTMf+qLpk6c2T\nad5Ug9/mRdRKpFVk42tz42t1oc824WtzI1v1BN1B0sZG5ard9XbGrJ5K4/vVCJKIu8GGbNUz5rbp\ntGytxXYsuviVVp6F3+HD3+5Go9ci6TUY8izYq1sTuvqEnD68jTa8jTYcVc3MfOQucpZOoGXDUeRs\nC1N/eSsas4FIMMSOB57svlAQGHPPXLKXVKIxGwjaPbRtrKbu+W4jrnDVDPJvmIrGJOOuaeXU37fi\nOhlVgLJU5lF852zM43IQJJFD//YG7tq2pNQ9XLjx6dvZ/8Ru6jfWdh27+fk72PXbbeiMOjInZmMu\ntmApTmf7f2xiygMzMOWa2frLj+isaidjQjaT7p1ORmUmzjob+x/bhe1kZ1fd+x7bScWtE7BWZOJt\n83Dob/tp2HQKAGOuiaW/uRZdmo5wIMyau7oNU0kncc3jNwNw6yt3dR1/ffX/kjU5l4X/fjVv3/cq\nQXe3B8Ps7y1EUWDXIz3li88hiBLlE64nFPACAnUn+hCIHwe9MQufp3txTaPVozdk4nI0DqjeweKy\nMVwgugPz0SYfd602UV7W/dZb26I/2lmZIoKgnkg8OytqHARDCnZHzx/6TlsY6JuEcbIQRbqMluMn\nQzz4b53sO9jTnWfRfHnYGy5BbxBPhx9Ph5+Nv9vH2KsKKJyRja3eRd6kDGbfP4Gc8VZEjUj7STub\n/+cgbSfsaGSJe55aAcCX3rqpq74nbljb9UBKyzdy228XkVNpxdXqY/uTRzjxUfTmFTUi8x6YSOXK\nYnQmLWcOtLP2x31LGBXr2k2/P4C9MRobpZElFn5tKpXLi9DoJYLeEMfWnebkx2e46aH5PH3XOvzu\nbrfFFT+ahaLAB79O7g7JxVA81Upno5fiKenIJg1+96iq2Dlcp6uxjO2O38qedTWW8glEfD4a1r9I\nyOdBl55J7txrMBWWo11+O0oohK16L7YjZ79bQaBg6W3os3JBEGn84FX8nVF1F3NJJTlzVxCwtdG0\naQ1hf2LJUnNJJTmzl4Eo9rrOUjaRrCsWYcgtxllXRcP7L6KEQ6RXTsc6cRbatEyO/+ORHvUZ8orJ\nnbsSUasj7PfRtOlNAvbOrvqyr7waQZBo/OhVfK2D9yBsth/ljO0QstZEjqWSaSW3Utu6ldrWT1La\nbmHmFVSdGdhEIhXkpU3CKGcm7Nuh02sGqUfdiDoNWms0/ubC4Hz78TZy542hft2xmNdq0/QIkkjF\nZ2Zx8HcbKbl+EtXP7CRnXhntexrQWQ3kzC3l6ONbAbCMzSJzZiHVT+4ASUJj1hE+686Vv3QcRBSK\nJk/gxHO7MBakU7C0guatNSjx3C9i4G92YNt3mozZY2jZcBR/m5Nd//QMGbPGUPHPy3ucm3NVJVnz\nx3HoF2sIObwYCq1I+u75Q+7ySeQum8Cx37xDoM1F7orJTPyXG9n33ecJOnwEnX7atxzn5GMfEQmF\nmfjgjRz48ctJqXukULRkDB8/+B4Vqycz/2dL2PJvH1KyZAxjb57Arke2EHQGaPiolj2/38ake69g\n5j/P6+GCNuMbc9n1X1vpPNrGmGvHcuV35tF2oAm/3Y+nxc3bn3uV/LlFzP7egh7thgNhNv3kA5b+\n5lpev/35Hi5XbQeb8ba4KV5cSs27xwEQtRL5c4v45KGPVd9LTt5UbO0n6WiJ7tZqdSYKSuYhaQ00\n1+/AYMpGNliR5XQ6Wo6g0Rl7vPa4W3ucn503DUnS0Ny4B6+nnfziufi87bgcjWg0MsVjl4Ki0Np0\nALdz6MUcD5Goh8EjdHYu6PV2/yjt3hc9aDQITJqgnk151oxo2cHDQS5UgD1wuLuOwWLyhG5RgX99\nyNbLaAHIybr4ZJxDkrNfWyQY/THwOwIc39DAS1/7iOc+tx7HGQ9Lv3sFACF/mDd/EF3B+PONa3n8\nujU8fl3Pbfzpd4xjz/+e4Ol73uPIW6dY9oOZ6K1RBbY5n5tAybw83vrJdp773Ho665xI2r7dMrGu\nvfGh+V3XT799LDmV6Tz1qXeo39VK9fsNbP7DQc7sb8fV6mXs0u7geUknMmZhHsfeGxoKUZOX5XJ8\nWzt1+2xMWJzdr2sLJqbxw7eWcON3J/Qq0+klbvjOBL714kK+/fJCrvlmJRpd9+f94HtXM3lFHt94\ndgE/WHsV9z48g7ScoaGWB1HXqoxJc/A21nYdsx3dSc3Lj+FtrSetMjouA/YO6t97noCjg8YPXqH2\njb92Gy2AnJaJ/dhual55HNuRXWResRAAjcFE/lU3UfPyo3hb6smZd03CPp275vS7z8a8Lm/h9dS+\n/hfcDSfoOLAN5Wz2OHv1fhrW93ZvETQa8hfdSP26/z3bv53kLbyxqzzrisXUvPwota89gb99cKU0\nfUEHNvdpmm1HOXj6Terad1CWs4A0Q/6g9mOokGFOsgR6EkmrzKFg5UQyZ5X2KrMdaebEc3sYc/MU\ntJbe93f6uCwsYzLQmKLP43OS0ufkrK2T8nDWtBP2hxAQaN5ag/N4O1qzjL/dTdDmw1kTjZlIG5uF\nLl2Pt9mJoD3rtbC/kY4DZy4qJsXX5EDOtiQ8T5KjC6cRX5CQ24+zuhnbgfqu8qJVV1D/8i7cNW0E\nnT4aXtuNIAhYZ445246Nlg+P4W93EbR7MZVmgpCcuocayx65ntVvfqbrn7Uis0/Xuc84sdfYaNt3\nBl+nj44jbbQfbceYEzWYXY0OTq0/ibfVQ+27x0krt3Z9hgB160/StL0Bv8NP9StHESSRtLKMAb+f\nU++fpGR5WdfrvFkFBF1+WverGwh6Yxae8wyIYMBNc8MunLZTZGSPRyen4bGf4dTx98nKn9rr9YXn\n29qrOXV8Pfklc1AiYdqbD6GTo65tksaAJMk01m0bkkYLjKAdF1GESIJYovQ0kWuWR3cf9uzvnuQf\nORbg8LEgkydo+fLnzHznx73znRQVaLjxmuiAf21N78y7a9718s0vW/j219L51SOpC2o8H5Op+y6z\n23u/eUGA21f1PVP4kEYAY4bM9E+NQ9QI1O+ObvPbGtzYGroV3o6sOcWqhxdEf4D68OCpeu80p7ZF\nb859L51gzgMTyCq30HQwyLTVY3n/oV20HY9+n9seP0zFsiKq3q+PVyWSVox57birixi3tJCq9+vJ\nHm+lcV8b4WCEht2tlC7ozttz7J06xl9TzJG3otvSJbNz8TsCNOy99O4ogigwcWk2f//WHpxtfqZd\nk8f+d/v+43bmqIM9b51Bq+ttAF7zz5XIRolH7/8EUSNy5y+nseizY7piYQQBrvz/27vz+DjKM8Hj\nv6rqU2q1rtZhWacP5Av5ANsYjHGAQAYw55CZsCRLyMHATph8Nuxn90M2MDBJBkgyFxsmkFlgN4EF\nzBFIuBzjAwzENr7wqcO2JOu++z6rav9orHa7JUvGBrfJ8/3H7up6S+VWuaue93nf5712Kk/ftY1Y\nWOemB+ay/Ou1vPFPY/fMfl40m43pf/U9jFiEYMchBnakes5cVTNx1dRjdRcSaG2a1PHiIT+hnmSQ\nGh3qJa9uFpDMdBzNYPiad1N70x0THutom0QoMGY7RU3eAkzDYDJdLvbCUmz5xVRfc9votqPHBhje\ntxXPopWMHNhGInRmy9y29m2morCBisIGfOHUNTq/5kbcORWYpsGg/xAHezcSS6QvDFyQW0Vd6TJy\n7R4URSES89Izso8jg6kAc27VNRTkVGLVHFQUnju6feP+f8M0U9/Hy2fdxd4jf8BuzaOmZAl2i4to\n3M+u9leIxJIT+BfU/iVxPczeI8kF3yyaneX1d3Kg6216RlJzYjTVSk3JUkrdM7FZXOhmnFB0kH0d\nbxGN+zPOCxg9t+PPa+nMb+K0Jh9W+nxN7OvIHKsPyQCormQZLkcJCSPGluanSBip++eC2r9kONgO\npklF0XwsmoNgZJBDvRsZCY2dcfO3DOBr6sOIZw5RK1lcjbM0WbbdjBu4qgsomFWGoqp0vN2Isywv\nbdx2oHWI6bcsImeKm4FtHVjz7IR7/ajWo6sypx9fsahMvaKezjWN9G1up3hBBXo4Tmw4jNPjGn/I\nxSQomgKTqCTV/24zBQurWfjoLQxtOUT367sJHOz75Pw0HFPczLz7MmbefVlaO3tJ8nOx5jupvGEh\n7nmVaDk2FIuKoqqYunHKx842H/7DRnxtqUIXy360YlLt4qFkZ7IeN4n7k9ermTDQbMnrwl7goP6r\ncymZX44114qqpT5DAH9b6jnONEz0aAJLzqk/MretPcTsWxvILXcR7AkwdXk17e8cPuHzSjQ8giPX\nQySczGx7yudhtbkIhwZxKMl7aSwexNDjKJ98kx/7+vj9dT2GYegoZHZsRyMjdBx6l4rqCxgZPMjI\nUPYV0PjCBC5zZ9n4+Y8LWbM+wkfbo7QcSjA0rGOaySFeixfZuPPbbko9Gl6/wTMvpJczfvARL888\n4eGaK50EggX88td+enp1VBUuON/OAz8sJMepsK8pzkuvZQYuh1vjPLs6yO235lJeqvKbF4I0NsfR\ndZOSYo0Z0yysuNDBsy8mt58OzQfj6DpoGnz7Gy7u/+kIkWjy6q+rsfDf/i6f8xaNn0E6Wyy5fTZL\nbp+NaZoMNHt580dbCPQnU9rOAjsLb5lJ5UIPthwLqAqqpqKqyqQm4w+1ph6uTMMkETWwOS3kleWg\n2VQGD6XKWxu6SVHdxL1p47UdbvWPtvd2BJhybhGKqlB+bjGDh1LncWDNEc6/rR73lBx83SGmX1xB\n45qOrKhKU7OggLAvwXBnmJA3ztX31ON0Wwn7Tu2a1iwKDVeW8x/f3kosrAM6O/7QxfJjAheAPz3X\nRnAkeRNq2jTAvCvOfG96co5L5oJj9oJiPOetpOXZf8az6JLRIGEimdXbkjeitKErk0zsZgx3Oa5d\n/9Z1VF75NeIhP8FjMkXjU4j5Rzj80q/GfNfbvIuihmXUXHc7XeteJtx75tb6McwE3lA37pwpo9sc\ntgIMM8Ge9tfQNCvTSpczt+oadhxePbqP3ZJLQ/X1dA/v4VDveyiKhTxHKXE9fU5kS89GFEWlruRC\nDvenxqYfGxwcNbV4AZpioaVnA7oeIz+ngmjs5ErnK4pCQ8315No9tPZvJhDuQdPs5OdMJRZPBY9H\nz6uh+nr84b7Rczv+vDY3P4VVs9NQfdO4P7Mgt4qGquvp8e7lUN8mbJYczq25jp2tL6ZdW5VFiwjH\nRmjqfgfdSDCtdBlzq65lc8tTJPTMMsp6NPl9YXXZiQfS3+/f2o5mt6BHk9m/QPsIH/88VTig7fd7\nUTSVtteS8+t6Nh1GsbRhJpL/vv2Pf8CUFdNxVRXQ/Nvk6uEdbx8Ybd/09JbRoGZkXw/eA8nMoGmY\no/NePi1HRQGR3ol/r3o0zoFH3sI1rYSyK+Yy78HrOLJ6WzL7oSqAwv6H3sS3Nz3wO/pQfc4PrsAI\nxjnw09eJDgVZ9vwdp+3Y2SYyHCbUm7q+j462GItmS33HHnu5jzXsb+m9F5MIxvngvvU4S3O55JH0\nDHYi+tl8HtGRCL1bu6i+tI7G1XspW1zBhu+fuEraQO8e6mZdhTu/ing8RCzqw5FThKZZMZn4PE3T\nSNvfUzaP0oqFDA004nAWUlqxAGduCaFAH7Goj6KS+knfr86E7D2zk9R8MM6Tvw1w0VI7X16ZT1mJ\nitOpopsmPq9B08EEz64O8OKrIQKBzF/0th1RZi3upLrKwre/4eLZ/yihrEwlGjFpPpTgt88HeO7F\nINHY+E+PDzw8wptrw3z1hhwe/vtCSkuSkfDQsMGRjgQb34/S3ZPZw/S9O9zcfcfYD8TN21OLib32\nZogf/DC12OTQsMGsxZ185XInt93iYuMb5eS6FAYGDN7fHOHHj3i5678meObXJSw5LzOA+el9Bdx8\n/dgT17esm5L2+n//JsBD/3x61x2YrC1P7mfHcy0Z2y12jW+8cAWv/48/8cFjyZtY/RVVrLxnweg+\nR4MXRVNgjEAmER17UqqvO0girOOZ5sbfkwxUVU1hqHXiidTjtS2szRvN1jSv62TmlysxDZO37kuv\nqhMejrLm7z/iL358AR8+vpccj4N3Hj7zc1tUTeHG++ey+od7sDk1TN1k/a8PceP9c3nmBztPy89I\nxFINyMgRAAAOvElEQVT/N/f8sYc9f0zP5nh7UmOw9YRBFn+3Eh0ZItTTTvXV3yDS15nRkTvw0Xqm\nXvE1jFiY4b1b8TbvOuHxAm1NmIkEdTfdQdw3TOsxwcPUy7+KNTcPqyuf6qtuJdTTwcD2Dak2N3wH\nVDWjnaO4DKsrH1uBh8I5ixnel7wWKy69EWtuARZHLtVXfZ3IQBd9W94h0t9J98ZXqVl1O6rNBorC\n8O7NjDQmr8+qK2/B4sojNjJA/ASV1YqW1+OoKCThDWHzuOj/4x7y5lXi39NB3rxKzISBHoyiOm0M\nbfr0GbV4Iog7JxXczq+5gc3NqUnSQ/5WVsz+HtWe82gf2JZso0eIxH2U5M8gmgjQ693HSDAzADua\n4dCN2GjmZDyRmI+Wng2jr0dCJ670NZbpZZeQay9h04HH0rYfX4Dg6HmZpjHhucX1KCZjz1FTFY35\n1TfS2v8BbQOpifTTy1Yws/zStLkzodgQOw6/MPp6d3sfF9XfSXFeHb0jBzhe4cIqCs6dSvvz29KC\nlKOOf3284x+yjwYtAEZMp3PtibObx2Z6TmWtDUueg9w6D3n15VTdfD7+pl6a/nXthO0Kz6/FCEYJ\ndQ7T/v82Y0RieJZPp/N32zFiCVoeW8/Mv72Ulsc24G/sxuJykD+vgoH3WtB1A0epm/4NjcR8EVzT\nSk7rsc8Wfbt6mHHdOQwd6AdFoeG7i1BOYvKDqzyP1j8eJOqLsPwnl07c4CQEOv0YukHVyhq63u/A\n6rISHkh1eG/+x/e48snrKJhRxO4nthHsOfFzha7HaNn7u7Rtg71jr7NycP/vx3w93v4AbS3p8+BC\ngVML4D9rWXzbPzmRqMnzLwd5/uXgxDufQPuRBPf95NMP9dqyLcqWbSe3UNejj/t49PFPv3DlW2vD\nvLU2PO77/+k7Y1cLuffBEe598PMZ1vZZSER1QsNRKuZ76N49SFGdm4Vfm5m2j68nhKEbTL9kKoc3\ndWN3WUazNSdi6CY7Vrew5Fuz8fdFCA2FWfDVGWx+cuJSpuO1NWI6BzcmH1j0qI7VbuGONatIhHWO\nbOtj/c92Eg8nb9jtW/u4+O8amLuqhsa3s2NuS935RcQjBkf2pK6Z/Rv7ufyuGeQW2ggOf/p1XvSE\nycdvdXPpd6fxxj81EfHHyS93kFtop3PfmQmYJ8OIR2n6Pw+N865J17qXxm3rb2vE35b+UB7zDqWV\nMw71tNP+emqNoWDnIQ6/9HjGsTrXvpCxLa3NK5np/ry62ShWG4df+hWqxcb0v/7eaODSte7lcY8X\n6e+i7fdPjvnekbefHbfdsUaDkWOGdEbX7wfTHP3zhJVSJsludRM9Jhth1RysnPP9jP1sltQwGcPU\n2X74OaqKF1FZvJC6kmX0+Ro52PtuxpCyyUroJ9durISaVXMQS5x6BbrJsmg2FEUhpqd/X8YTYayW\n9IIvsUT6KISjvzVlnNSgs6KAoa2to5mXs9Xse6/CiOqEu0fo/N0Out/YPXrN1t12IcUXzsCSa0ex\nqCx5+lskwlG23/lbrHkOpt66DFtRLoauE2jpo/mYgKf/3SZUm0btrRdgL80jHojib+yh/71mAA7+\n+wbqvnkRFavmE2ofSstCnOqxzxZ7n9rJwruXctkvryIRStC4eh929+TnPG77lw9puOM8Zt44m00/\nXMfyn3xp0m0bvnselStqsObaUC0qq1bfTDwYZ+cvt9CztYuYP8qux7Yy5+vzmX/nYkLdgbSyyaZh\n0rb2ENNX1bP14fdP6t8tvkCBy5+rW/97Fe//YZDFXy5k9yYfzbsC1M7JYag3zlBPjPxiK3aniqpC\nT3uU8ho74YBBJJjscaqZk8PhvSHiUSNjX4C6OTlMm5fL7g989HVk32rcG362k4v+9lzm3zyNoVY/\nG36xk1UPp6p8RH0xNv3bbpZ8cxYX392AtzPAi3+zcVLH3vFsMxabxlU/XYotx0L33iH0TzICK+9Z\nQM3SMmwuC6qmcvurVxELxln38A66dg2M2fb1ezejxwxsORZW/eJC3v3XXbR92Isj38aV95/PvOtq\nRzNLpmHS+PYRzr2xjrU/3nb6P7hPYc6XSml6P32eTWAwSneTj9krS/jolU6u/9EcppzjJq/EBgbU\nLy+hfbeX13+W7HW96gf1zLusDFSoWVhIb4uflx/YC8CaR1tY8Z9r+dbj55OTb8U/EOW937RldeBy\nNtNs9tHJ+HZPWdpclc/NsXHJ0SDl+D8/JYtmx50zhZ7hVE9jQo+yszUzmIzr6Q/eCT3K4b5kRbKy\n/HqmlV3MHOvV7Gz9LNfjSD3kWy2ZcxMTegyr5fMr7R7Xo5imgU1zpm23Wpxpc4aSTu531fX67lM8\nu89O2ZIriA73oceixINeIgNdWBy56PEopp7A5i5Cszv58K+fANOkaO4F+A7tGS1r7iguR4+EOfz0\nB7T+ZjPOkqnEAz7igRFUqx1naRX9G5roW5+ZiTpW79r99K4du6NsZNcRdnz/uTHf61t/4JSOnS2i\n3iivrMrsCGn62TC11ZcwMNjI4X/3sifUjKKoOOwF7Ni4D8PUyXEWsP39HeTlVZBozGf79t2UeGaj\nt9jZ/sA+nM4ilK4p/Ome7fj9ySFzr97w/OjPeOPrmR03x5Y8/viJbXz8xInvy61rDtK65uC476sW\nlc732khMkF0UmSRwOcv1dUaZUudA/WSOlavQiqYpXPvdcp5+sJ2VNxVzpCXCnCV5vPS/uiiZaqdi\nmoM1z/RhsSrMXuxisCvOYE80Y99FX8on6NWpmuVk9wefPiN0Kl76L++e8P0jH/Xx3G3pac5fX/16\n2uv9b7az/83MrMX//as1Gdueuv7N0b+bhsmWJ/ezZYwsy4afn3ho1Inaes4pQLOoHNyQ/MIM9IUZ\n6Qhiz0sfzqdaFVrWdxEfZzjb5+33D419o3v6rtQwtt/9w/jpaIA3ftHIG78Ye+hPPKrzzhMHeeeJ\nsb/s//HyDWmvd73Vw663srPqydnAd3AvuVUzqb32dgw9QdeGV8/0KZ1WM8ouQUWlazg1BG842E4w\n0j9aiWoipmnQM7Ifi+akrvSiMffRTsN4xWgiRI61YPR1fk5lxj7ecAdTixoozK1OToafgG4kTunc\nTNPAG+6iOK+WtoHUcFa7xcVI6MQFSs5mRiKONTcfI54aLpNXO5tgZwtWVyEOTwWRwa4xY7WC6Q2Y\npomzvpqB7etRNCuKolFy3qV0bXwZe2EJqmY56VLLIkVTLfT176W0dB6hUD+unHISehiv7wiRyDCu\n3HIsmgPDiON2TaezeyuVFRegqCpHOj6gYsr5+P2dxGJ+3HlVo4HL50G1amgWlYJziqn9ygzevSfz\nGURMTAKXs5xhQK7bQvCTdWVq6p0Ul9vIcSUjGVVT2LF+BJdbI8dl4cJVxbzxVA+mCfGYiXcwFe0f\nv29ZtZ2Xf9mNu1guk9PJ1xXElmuhdlk5XbsGqbmglNpl5bx53xY0m4pmUSmpL2DO1bW8cvf4td2F\nOBVGIk7n2tUT73iWcFjdFLpqcFjdTCmYg9s5habudQSjqbk2bQNbmVt1DV3De9CNCHarm2JXLS29\nG4knkkOiPO7puJ0VeEOdxBMh7FYXUwrm4h3nYb04bxol7hlE4n4smp3hwMkP7RwOtFJWcQW1JUuJ\nJkJUe87PCK76fS34inqZU3kVrf0fEoj0oal28nOn0jW0k2g8fZi0P9xDWcEs8pxlY56XoqhYNTsK\nFlTVgtXiIKHH0ibxH+57nwU1N1NfcTm93gNYNSe+cC/9vrNrWNHJUFDxtu7Bs2AFg3s+/GRjcvKE\nw1OBt2XXuIvGOjxTiAW8xP3DKJoFh2cK1twCNFtqaF2w+7NfFPWLTDcShMIDBIO9aBYn/kAnTmcR\nhpEcdqgoColECLe7klg8QGnJPGIxHxZrKouZl1eJrkfANMjJ8aAoGsHgZ1++veTcUpb+zxXEfFE+\n/tVH+DvOTIfw2U6eSL8AXAUaLTuTNy1PhS1jgtqxnTuv/qqLpV8pxDeYwOlSmT4vF7tDZeMrgxn7\nHtgW5NrvlFNW7eDA1jMwjOQLKtAX5p2HdrD4tlnkehyMHPGz7pEddO0coGpxKVfev5iIL8amRz9m\n5Ih87kJMRln+LErd9cSNMN5QFztaX8B7XDneSMyLYRrMrvwKmmIhlggyHGjDMFJZzVg8iLuojPKC\nOVhVOzE9xJD/cFrlsGMNBdo5p+LLKCiEosOfKnDpGdmXDLgKzyUaD7K/403mVP5F2j6mafBx+8vU\nliyj2rMYm5ZD3IgSiPRhmJlZ2db+D7Facphfc1PGeVUWL2JGWaqsbB6leM75GwAau9+hezg5lMsb\n6mZX+8tMK72IhuobSBgxtrY8PWbltC+S6Ej/aMnl0kWXYc0vJNjRRKCjBc/8i4kHvAzt24zNXUxO\nWRWKojLc+BG+tkZcFdPQ41ESoQBWVyGK8vmt7fbnoLMruaBs/8B+FEXFNA38ge7R9/2BbgLB3tFr\nVEFJ6wTo6v5ozO2fh97t3bx24/MT7yhOSDGzJGc5derUiXcSk6JpCvokSgF/3scSQgghziaKqmEa\nxwaGCoqijBu8KYqafCA2jy6MqWJOtMicEH8GOjtPvpriWCTj8gV0OgMNCVqEEEL8uUoPWgDME85R\nOT6gkaBFiNPrJKpeCyGEEEIIIcSZIYGLEEIIIYQQIutlzRwXIYQQQgghhBiPZFyEEEIIIYQQWU8C\nFyGEEEIIIUTWk8BFCCGEEEIIkfUkcBFCCCGEEEJkPQlchBBCCCGEEFlPAhchhBBCCCFE1pPARQgh\nhBBCCJH1JHARQgghhBBCZD0JXIQQQgghhBBZTwIXIYQQQgghRNaTwEUIIYQQQgiR9SRwEUIIIYQQ\nQmQ9CVyEEEIIIYQQWU8CFyGEEEIIIUTWk8BFCCGEEEIIkfUkcBFCCCGEEEJkPQlchBBCCCGEEFlP\nAhchhBBCCCFE1pPARQghhBBCCJH1JHARQgghhBBCZD0JXIQQQgghhBBZTwIXIYQQQgghRNaTwEUI\nIYQQQgiR9SRwEUIIIYQQQmS9/w/GZNXDusF8mAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932cde8390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_corpus(\"Brutal Death Metal\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Death/Thrash Metal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jlpmzkEMhpM5kSFSspxP7wqUIBsNAGFlaP8PYKDEpWcb4IoyFhaMfsKqCqiKM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Pjm/9i5+ZbUAo61LAtrWRbJsIwqJ/HsrAdNI/+iGahyEkEUCNZ2ojM7KbhkJsHDHcR9EQx2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n9l9qi/ukHUtjSUp7AErX1qHLNjLS6cKxq5Pae24kf15pch5Q83e3s+hrt4EGBg50J1LGzyoAnRbH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\nYsaTwEUIIYQQQggx4/1/21oJi4EJNZ4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932c620390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_corpus(\"Death/Thrash Metal\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Death Metal/Grindcore: The Genre with the Highest Average Album Score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qMkxLimn95h8Jt3SP3dE0k37PJhy3rALAd7QW1wuHCDV0pphKOW5eSea7ts/U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gtGXF\nRFo7UJlNiIakklW0u/eGjD8WDXp086uR5lRjXLU0La/iDOODu7MOd2cdS2//Iiff/PZkD2dEjE4d\nWmPmj4OFt1PNAAAgAElEQVRYJEHAlb0ao3oaJZ2/n5l/exnrP1WD3vr+8bBcj7akGP+BQ0OMFgC5\ntY3AoSOY1q2dhJHlnlhCpjtwCZ3ajCvYxJLCD3K6+3UqbasoMtcgx0MoSowi03wisQCxRJRyay2e\n8NVIDIPWhknrxCzlIyASi4exScV0By4N9JcOjoUFnHryMC07k16aJZ9ZTfOORhLRekK9QeZ8eCFH\nvzUxAgqZelxmyIz3neEygKIQPltH1zefxHzrRgy1C8c02bN8YAtyfSORMYZGibqRb+zx0PjWHogH\nU/cv6tKLaReGKUwIkBjBOBrShwAPf7kIo0WFRivw2+/10NUqD7z33JO9dLbI/H9fKUZnEPF7U8SO\nKkqyFo1Wg7a6ErXFRMzjw7BsEd6d72BYWkPM40M06DFv3QSiQLzPjcpuIXxufFTcJhxBQLdgDqa1\ny9EtmDPmekYzTCzR8NgrKk8WjqrsvC39l31DimxmwozHZepz37+tpyRDyeobCSUaGzFHNBEKo8SG\nX9CbbjR7jg/8b9DacIWaSShxookQXb7zKO9JagkIQ1575WSURTDi5lzPzoE+fZEeFCUxqL900Jg0\nBDqu3lsjXhmdXUewO0DX4TbmfGRhVp85HdK58xXcvYKeV49ReN8qfKda0JXnEWpyAQrO25fQ/epx\nRLVq4HXCLxPp92PbMA+VTkO4tQ8lrqAvzyMeieHeVzdeH2vK8r5/SkQ7u+n79XN0ffPJMckSCyoV\n9o/cPfYTjKaaFBtnybrYCCsBaYYFCSkqayuR1Ddns03Fl75Vzpe+Vc5tH7WzfLOZgCfOD77axm++\n083HPps/6L2PfTafuUv1KIrC97/axqEdI2ujq4wGlJCM2mEnfO4i8uU2NPmOgW1NvoOEz0+8pw+5\nrhFRujGkVqU5syj84uM4H/sYuoXzZoyWKcy5vT+Z7CGMij1Lw8V1KTdFZ6eTzO/7kZJax4zR8h6h\nc+eRZlUNv1MQ0M2tJnT+/EQOaUJIJOK0e88A0O2/OGCoAClfD8eVsKdr+0uHUG8QU8nV+1aw04dj\ncQEAoqRGTFe+f4IQtSrK/+RW+vdewDivGNeus5gXlRJq7iXU7CLc4hr0OtKfNM50BVZcO89gqC5E\nV2InEYmTCOS25uB04f3rcbmOaFcPvT99Gn3tQuwfuXtEb4SmrBhpzizk+tETyVKpXVxBGeewpZH6\nT1VIMnX74b8uI8lFXx8qdtcnHLQ3JSV3e9ojOIs1FFVoB95zFmvIL9HS1ZKMfe1qTSEzqFZj2boR\nQaMleOIsglaFZetGRJMJzys7EXRaLFs34ttzEGlOVVqfcyojaNTY7rsT45rlkz2UGUbjimraNIhF\nLqyxZXV8b4MvJ+OYCXCcutR8sIKbvzj2Is+5JBqKI/ujyP4okWCMiD9KNBwnFo4TDceIheNEQnFi\n4Rght0wsnEi+H4oRCceZvamYVQ/PzemY3K+9ScFjD+N48CMETpwk4Uka7yqbFcPypYhmC/5X30Tj\ndAyK5oj2TB1BjkwIx67+1iPx7CNGru0vHboOt1GwsoTmHcnCzW17W1jyqVXkzXfirC2i78LUvM6J\nSJy2X+3FuXURcp8f+6YFRPoCKPEEapsBqcSO3N4/8BpAlDTEw1fnQomgjFRqx9PcM1kfY1KZMVyu\nI3TiLPHePpyf+gRiitAoANPGVWMyXJRRPCrCOK+Uj2ScpOvGThkKksZn6GiKMHtR8rrml2jp7YgO\neq+3I4qrM8q8Wv17bYb3CrmfHywvG77QQPhi00D+yrXb3h17B9pNZ3lKUSfhfPzjaCtKx3yMEosS\n7+0n1ucm5vOj+IMkwjKK/P/YO+/4tq7z7n/vxZ4E916iBrW3NWzLsmU7HomdYcfOaPI2o3mbZjVt\nmrZv0pHm7XjbjDa7SZO6TuIMO3a895AlWXtLJEVxL3AAxAYucHHv+wckUhQJEgTBJePrjz4m7zn3\nnHMPQOA85zzP75FQojFUKYoSi4IUQ43G0FWVk/u+u2bxKd4+LJo8LgKUrUuufJgKQy2ZSawpx67d\npGmLmZV3VbF7Fo0WJa7i7vAz3BHE2xPA1xvC1x8i7JIIuiVikZm5XJWvm1jVbyaUfO7TaGxWdGWl\nmNetnrBO8af/aNy1rq8sHEGOxUzzo+eJR0Y/L9qfb8ZWYadkWwWBXh+nv78wVbYGnkmIFvQ/nfj/\nlWkB+n791oQ/A4TbBgAYfP4kJe/eivdkOzkba4l0J1eOvVbJGi4TEO1x4v7VExT84YNJ6xiW1o7k\nppiUKYyDZO5XmULQTtL+dA0XeeLTj0n7uIqT+/2s3mbh0/9Qjk4v8OvvDdLfJY1c+/X3BnF2Stz4\nzhw+/Q/lDPbFUOJT71hXlmyjd/AEcaJUl+4kGgsSigxhMRXRO3gCkyGX3Jxa/IFe7NZyhjxNmAx5\nyHEJu6WcYLgfg96ORtQTigzhDfSk/ExzgaDRUPCxB1MyWsLnmpCaWpDauogNuqYlRiBOU7AhS3IW\nSx6XvBrbjIOs3Rk6cYlL6Z9AP//3x4h4J0mgeg0hS3Nn4C27pWxWjJZoSKb3lItjv7yIq81HPLq4\nApxDJ07N9xDe1kiescJGalzh9I+OcPpHC9NgScqVJ/LJfr6KgWdPoC+yM/DsiVkc2MIla7gkIdJw\nkUjjxUTQ8wSIBj36suIpE1NOFhwPIJpMaY8xFURz8lMjZbrCANGJDRfRkjz/w998dOyplKrCz78x\n/tTj6ms/+fr0En4KiMTj0ZFO+oZOUV68eaS8IHc5Xc5EHh67tYzK4m1c7HqF2vJdhMJDWM0laEU9\nHc63KC/evOAMF/vtN6GvqZy0jhqN4n/jIL6X9s7RqLJMxmLJ41K+YWa70b7eEFJw5pmjYWYL8uHO\nAJ6uhS+EsJjIq7Wx+0/XZ6y9WFimdZ+Ti6/10n1iKKVNqYWK58W5k9vNkuVKlKj8tjxpucyiMlws\nYg6l2lqCihen3E6epgSTaKU71jzlvZW6FbjjToJK6i4NoeNnkhoukMgkP6Xh4pt8J1KwWlIeTzoI\nluTtx73T+5KP+wJoi8YvcjRWy7xnQfeHnVQUbyEUcSGro7uuVlMxNnMxoYiLiuIt+AI9IAj0Dp6k\nOG8VwfAgGo0RX7AHuzV1F6y5RJvnwLprcllN2e3B9bNfEeuf/4VwlgSLJY9LxYaZuYl1Hc/ce06e\nwa673rSovs4WPDqjljv+dgtaw8zdmQNDEU7/ro2GZzuJhq4Npa0s80f1rXWYS6xEhsP07u8cd/qS\n5dpm0X3SX4yeHPlZUsOYsAKgFXRU6lYgoGFA7iCihqjRrQZU+uV2AIq1NWgEDYNyN574wJR9RS60\nTlo+2UnDZdRoDCUYSlpXm5diEsw00eYmD7qVvdNz70hqhIki2jwHsmt2k2lOxrC3DY+3PaFk4k2c\n8vT0HxutEOofyTrrCyaMzVAkkTRzJBtt0Dn+vgWA9fqtk8YqxQMhBr/33yP5a2bCdNz+skzOYsnj\nUrmlaEb3dx3NXIBoLJz+olY7D0kQ1939JU4/868TlhltBSy78SNo9WZiUpCzz31rjkc3MzZ9YCk5\nZVN/x01GPKZy8rctnHjkIrE5dG+bC8r/+ksp1ev5x4nfH1nSw1puZ8PntqOqKoIgsOoP1rP/q6/i\naZ44CXaWa49FZ7gs1W/AqwwxKHePuV6srUFSw0SUIJW6etqiZ9AKWtqiZ5HUMA5NMcNxJ974EMsM\nG1MyXJRQGFWOISSRNNZYUnPzijkHMNTVTFimLZzZbudUaAuTS1fK/VPPwZj6g8mPJnWlxfNquEDq\n8oupXl8omNZPrkfveeK5jBgtkJoxnmV6LPQ8Lhpd+lpeigI9JzO3YFBkhdCwhDl3+rLlyeJ06m/5\nJGZHKQDxaIS2I4/h62+Z0ThTIeIf4syz3ySvah1lq/fMen+ZxF5iZv19S2bUht8Z5oWvH2fwgidD\no1pYyBOpg2lENA4HGquF2MAgkaa3X46N2ab+g2t548+ex9vixlRkYdPnd7D+j7fyxhcXbhxhqlz2\nGlFUBY+vAwCTwUFE8qKiYjUXE5NDSFE/Bp0VUdQiCCKhSGJtdmX5tcyiM1yuPHG5Ei1aJDWMgkJX\nrJGIGqQteo5K3Qpc8cROelSNoBBHmIbophKOoLElyXeSoppWrMeZ1HDRWK1ocuzEvZnJg3A1+srS\nCa/HAwHi/tQTRwJE+/qTlhlqKwmfvfY06+cbXVEBGnvyHBuyx0v4TObmPVVjPEvqLIY8LunSf36Y\naCgz8S2XCQ5F0jJcrEXJ37t9jfsYaj2M1mBhxc2foOGVHyL5szu0ydjykeUzMmhdrX6e/PIhIt5r\nN89E/49/lrTMtHIFeffdS7hpajf2LNMjb2Uhnn/dD0DIGeDsfx3jpm/eicFhXPQuY/6gk3zHMvoG\nE+tch60am6WYLucRivNWoaKSY11He+8+ygo3EggPkGuvpbX7NfJz6saUx+TZTW4+nyw6w+UyZtFG\nsbYGk2AhqPHTL3dQrV+FQQniV4axiDkUasoRZphjUzQn34FWo6kp2ERaO7Hu2p603LCkktCJ6Sdg\nmgrBoEdXVjJhWbSte8LrkxGbJJ7HuHIZPPXStNvMMjna4skDpyNnGjMaW6TJzyaXyzgLOI+LbZLF\nfip0Hp3eqW0qBAbCFC6bvguttTC5EIkal4hFAsQiARQ5hq2gFsnvwuQooXbb/bQc+CXVm+7BnFuG\nHAnQ9PpPiUX8CKKGstW3kFe1Do3WSGCog66TzyAFR0+X62/5JCZ7MRH/AB3HniLkSV1YpHj5Tgrr\nrkOrMxHy9NF9+gVMOcVY8sox2Aow2gpoO/Qo5WtuRW920PLWI4SGe0EQLo1rPVq9CTkSwNV5hr7z\nr07d6RQYcwzU7Zp4wysVvL0hnvyLg0R8C0jhbY4TBIUbmgifa8Bx255JDZws08eYP3ZN5u9KbPqa\nS6yL3nDxBroJhAZYUrGL9t592CzF9LvOASoWczFSzEck6kUUtSAIDA5fQKs1odUax5dfwyyqp7sy\nsD6k+Gm56vSlSTqKgIhKwvUnrPhRL/03HB9VrWqUUpPLEy3myWMLfKm5gEgt7ahxOWkCR2P9slkx\nXIzLlyQd/1TxOxMR9/mRnQNoS8b7xGsL8tBXlhHt6p12u1mSo7FZJy2XXZlVFrmWknUuFFbe8PGk\nZfN9GrP2PTUzur/jrVkwXAbTW3zYilN3c1TV0XgLvdFO+drb6DnzElLAhdlRSiyScLUoXbkbe/Ey\nWvb/AjkSpGj5Tuqu/zANL38fVUm00X3qeaTgMKWrdlO7/X7Ov/DdlNxP82s2kVe1gda3fkU07KOg\nZhNLr/8wPWdfIrdiDRf2/jfFy3ZSt+NBLu7/JbmVayiq20b70cfJq1xLbvkqmt98CFkKYrQWoNHO\nTNL6MqvuqECrT2/DT44qvPi1YwvLaAF0GRAYmC6x/iHMa9fMeb/XOoIw1gqNS4m4OM0sp5aYC/Id\nSzHqE5s2iqrg9rZSWbKd1u7XcXsv4rBVE1eiRGOXvWVGN8UmLr82WVSGSypcNloAFGYWu2Coq560\nPDZJzMeYMUlRIo0tmFavmLDctHo5osGAImX2WN28KYn2vqIQaUzvCDvceBHbBIYLgHXXNty/eDyt\ndrNMjKBL4qZ4ibg/lLG+dEUFaB2zKxbxdmSgY1TsQRAEdEYr+ZUb6G85MI+jAqNdz+q7J/+Mm4zB\nZi+utsy7uHr70ntP59Ukd6lMIKAzWhAEAf8VMS6iRsPgxUME3YlTaN9AYlNHEDUULd1G++HHCHku\nCXecSRgVuRWrcXeeBiDg6hopW3f3l7AV1aYUQ1O8bCd9ja+PtO1s2kfRsp0ASEE3YW8/vsE2zLll\nBN1d6C05FNRuvjTmhJGixqLEo5GRsWeCJTM4bTn56xaGWmfH7XkmaAxzv6jVOHJQkqQQyDIzbvnu\n3eOubfz8duJXJSp99TPPzNWQMoLLcxGNqCOuJN43wfAQLV2vAioef1ciTYOa2Ixv60mkPbjsVhaR\nvGPKr2WuOcMlUxiqysj/4HuSlkfbu5AutiUtvxrXw49R8qU/RpufO65M0Osp/vKf0P9vP0CZIu9L\nquR/+L1JDaWh/3mU+DQVxS7jffZVDDWVE+YUMa9fjb64kP7v/gw1+4GdEWT35IIH2tzMGBra/FyK\nvzg+y3OWmePqGh+X19e8j013fpnB9vlRsDNYdHzooZvRGtNb0MlRhaf+4lCGR5Wg8bkurv/fqxCm\n6d6TU2amZFUuzvPj/2YEjQGdwYIshTj11L+MKw+5x58U6805iBotYd9obJ+qKkT8g5js4zdv4jGJ\naMSP3jz+M/5qRI0Woy0PJRZBvOIk/uxz3yS3Yg3xaOLUSY3LyNGEIacqcUQxsZEx1HaUobajmB2l\nlK66mbyqdfQ1vI6zad+UfU/G0pvL0nLTAzj+yEWOPLwwg9Fzqyc/uU6Hyq//zaTl8UCQoZ89nPF+\nFxu1H9mGr7GfqCtI1BtGGgqgzzEhh6IosTimkhy0VgOBlkFUVaX87jUM7m8l6km87621BcR8YSRX\nEFGr4fUvv4K3wYnGqENj1GIstuNvHkBVro3F+mWjZZTR55rqJHehCw1lirk/P10EiCYjufe/a9Lg\n++DR09NrVFHwv/xm0mKN1YzjPXdOr80kmNbWY1o3sRJVrLefyPmZfbn4Xkn+5agtKSLvgXtTFi7I\nMjnKFO6I+trJk1KmgqDTJYz07Gs2K5jsRWP+mR0llNffQiQ4fyp82z5ej96S/r5V65vOjCWdvJpY\nRE47kWTZ+olVGtW4REwKTOuLPRr0EJejmHJG4wQFQcRoKyTsHy8BrdEZ0BttRENTn8QrcZlIYBhT\nTjFKXB7zbzqEPH10HH+S9qNPULLixmndOxGFS9PfCGl6MXOnPpnGVph50RH/629O+M/3yuu4H30C\n57e/R9SZXNDm7YIqyQhiYhei7I7EuiR/Ww36XDOONWXkb6tBY9JOeEpQvGsp5nIHle/dgM5uRJdj\nRNAkvqcsVXlU3b8JUadBXcBxhFkyz6I5cTFUlZNz7ztw/exXxAOZc4+5Gk2OncKPP4i2uDBpnXgg\nSOjU9GNSgifOYr1+K7qKiY/izetXIQ8MzSjzuaGqjLwH7kla7n125tl+I00tSC3tSZXSTGvrKfjo\n/bgfeQIlkmFVmXlOdDnXRHucqLFYUpcx44o6NHbblIlOkyKK5D1wD7rKshmMMstkrNx11UmWqhD2\nD9Jx+ul5GU/JSger7q6aURsNz3VmaDQTM3jBS27V9HfJKzYVcvyRixkZg6oq9DcfoHTVLURDHmKR\nAMXLr0dRYni6Rj//rQXVSAEXpat2Ew378A+0p9S+s/ENKtbdQcQ7RMDdgUZnwla0ZCR2ZjIcpSuI\nxyTC/gEEBCz5FUjBmcsOOyrSS4jsd4bx9Cxcv3r7DPPRTITn5dcy3uY1iShQsK2GnqfPjnx3XzZk\nrHWFDLzRPHK6cjWW2gKkoQCRAT+iVoN1SSHGIiues4kTUs/p3pGfs8wPOVuX4j2Smc/cVFk0hgsC\n6CvLKP3KF4hcaCV8tgmppQ3ZlRmNeEGnxXr9Vmw3X49oSq5OA+B/6Q1UKY3gQ0Vh+LdPU/T5jyfd\n3bbftgvRYsb79Muo8vR230xr68l9/z0I+uRBmukE5U/E8GPPUvzFTybNcWNcuYyiP/0jvE++SPhc\n04z6EnQ6jCuXYl63EkGrZei/fzOj9hYTqiwjtXVhXD5xTgVBq8Vxz224fvH4tA06jd1G3ofejaE2\n/TiHLFNz/Omvz/cQRhA1Ars+v27ablhX4jw3TO/p2ZUS7jnpYvmt5dO+r2R1LjqjllgkM9nZ+xv3\nIYo66q7/MBqtgYCrg4v7f4mijLZfsfZ2TDkJVbG2Q78dOdWp3nQP9tLlaHVGBFFk/bv+krgs0XH0\ncfyD7bg7TyNqdJStvQ2DxYEcCxMY6sTnnDr+UGMwU7b2dvQmG6oSJ+juoe3IYzN+Xkdlei5Vfefm\nN4fXZNhLzBjtmREuyJIewqX1TqDdTc0HtmAqycF9vIvhE51UvncD0mCAnufOYirNwb6iGEEU6Xux\nAffhdhzrK5DDMaKeEMZi25jg/OxJy/xjWlaSNVymRBQx1i/FWL8UAHnYi3SxnWh7J3L/ELGBoWnt\n8htX1GFaU49x9XI01ql3m6TmNgIHT6Q9/GhfP56nXsZx7+1J61h3bsG4rBbvi28QPnV+yjb1pcXY\nbr0R09r6SetlMkGkPOTG++RLON57V9I62twc8j96P7JzgMChk0TOX0AentrQFE1GdGUlGJZUYait\nQl9TPmIgSRfbM/UIi4bwibNJDRcA07pV5EoxPL9/PqXYIsGgx7ptE9bdO9FYswkn305s/egK8pdM\nFcQ+OYcfmtlGRCp0HB5AVZm2gaXRCtReX8yFV3pGrjW++uOk9cMeJ8d/97Wk5aqq0HvuFXrPTXxS\nffqZ5FnRO44/OeV4h9qOMdQ2Ps7J1ZGIixruPstw91kAPD0NeHoaEuXtJ3C1p/89lIx08ucAeLoX\nbpLVwhWzIzjiuG0PihTGt3d+RTYWOu2PHB352d8yyNAhEVUeddls+dkBBEFAVVRCXcM0fHP0b83T\n4MTb1A9qwkjpefrMiKuY70LWDW8hoIailDyQEBVx/npu/hYWn+FyFdrcHLRb12PZun7kWjwQQB50\noYQiqBEJRYpCNAaiAAY9ol6PxmpBW5SPJseecl/y0DDuR56YsatSYP9hdKWFWK7bmPy5CvPJ/9B7\nCdUvJdrVg+waRg1LqIqCoNOjybWjLy3CsGwJurLiKftUpCiuh347o3FfTeDg8UkNl8toS4oShtq9\ntycklfuHkIc9qBEJNa4gaDUIBj2i0YBhaS2ieXaSIIomI6LRiGg0IBiNCEY9osmAaDRcce3S74bL\n1wxoiyb2mzfWL6X4C59EkSKo4cT7TJGkxHNFIigRCSUSRYlcuiZJKJFI4loonPL7KHjiLLY9N6At\nSJ5jxbJ1PcbltQQPHsf/+luo8SvcTUQRrd2GvrYCw5IaTGvrk86x/9X96CvLMCyrTWlsKSOKaCwm\nBIMBjSMnMe8Gw+h8Gy//bES4/JpMkkMJwHHPbdhv2oHs9SXm+NLcK5HLr0Nirkf/L6GEIxlX75uM\n/MoNI8H5gqihau2d2ApqCA5303nmOeKxuRtL3a5SNj1YN6M2ek656Tk5+4kbwx6JgcZhildOHeh+\nNcturRhjuEyHuhV67v8DCwPOOI1nohx4Y2pp5hWr9TSdm/4JvCjC1p1Gyiq1PP5IYuFvs4v4fYlF\n3Y17TOx/PcxlzzGbXaSsUptSXxO1nQpaU3pLAr9z9ty3Z0rV5uRu3zPBvHk9kYuZ8WB4O3Gl0ZK4\nMPnJydVB92r87RGAvlhwvXwaQTu38bGL3nCZCI3VisaaWRUR2TXM0E9+QTyQGT/e4d89h6DXY96w\netJ65s3rMG9eN6O+1GgU13/9kphzFnIuHDiKdeeWlOtr7DY0dhvp7evNjJIv/0lGjSLRoEdMwWic\niL5/+DZxf4oLCkXB+8wr5H/0/kmraXLs2N+xG/ttu4iHIqix2IhRkMrWdfDYabzPv4Zt946MGy7G\nZbUUfPwDGW1TY7ejsdunFZ8Tbe9i4PsPZXQck1GydMeI4VJctwOzo4zucy+RX7mB8vo9dJ55dk7G\nkV9r55Y/Xz91xSk4/N+NGRhNarQfHEjLcKncVIC10JhWPpi65VrefCXM/tcS9+Y4RN7/ERsI8NwT\nQXq7ZP7gj+zoDQJnjkscOyhRVqGh6dz4unXLdRSVaCgs0fLc40HcQ/Ex5d0dMkMDccoqE1/DOp3A\nvQ9Y+fmPfSxbqed9H7JSXqXlzIkoF85FufcBKz2dMZrOJQyTK8fReDbGez9kwWYXefI3Qdouxsa0\nnQpagyZtfY5YeOq4nPlAEAWqt6f3GT0VotFIrG/h7vq/TQSmsswz2nwrIKDLMRPzdMxJn1kZoRSQ\nWjsY/N7PkN2ZiacBQFFw/+r3BPanlgwzXeI+P0P/+XOk9tlRfPE88TzeZ18FJfspOZuEzzVNqko3\nBlFEYzWjzc1JxGulYrQcOcXwbxPB4m9Hd7zZwmB2AAk1qqKarXSdeR6Ps4nu8y/iKFk+J2OwFZm4\n82tb0pY+vkznkUGccxjL0Lo39Qz0VyIIsOH+9E6WXns+TN1yPV/8qoPyKi33vN/KU48F+en3vNz3\nB1a27DDS0yXz43/3cvDNCLGYSmFJwji4um5hsYZzp2P85D+83PugZVz51cRiKm+8lJDDb26I0t4a\n47cP+zl3Uhopu9zX1ePwDMd5+tEgZ45L7Ng1eYxmMkQx/cCneHRhGi6la/MwOWYnvkUe9qCxLFxX\n24X6mmS5tnBcX4/WbMC0pGjOTl6yhsskqNEo3mdfYfBHP58dJTNFwfP7Fxj+zVOz4r4iNbcx8B8/\nReqcXdUN/+sHGPzBQ8iDQ7Paz9sd74tvEDhwdOqK00FV8b/yJsOPPj1ifEZ7nCjh9LKXZxmLcsnP\nx160hHhcIuBOqHHFIgG0+vQUnKZDTpmFe7+1E1vxzE4a5Uicfd89m6FRpYanJ0j3ifTc0lbeVYXJ\nMf1z3VhM5X9+5OPH/+Hjgx+zYjQJREIKcRl0WrBYBXyeiTdprq4LEJVUYlEVnXbi8kmZxJP06nHs\nudPErltNBAMqoiY9AyQmpb/Q1ZkXpvPG2ntrZq3twMHDmNasmjJJ8Hwhz+D1zBQ6m4H6P90DQPHN\nKyjYkdpJvs5qwFicuhv/XLWVZQJkBW2+DX1hzng3wFliYX7aTEDMOYT/pb3Ybts1630pUpTQ0ZP4\nX91P3D/7Eo/Bo6eQLraT885bEwH2M5H8AWSPF98LbxA6Ns1cMzNA6ujB+Y3/xLpjM7abd6CxZ/6D\nQglHkJrf3j7FnieeJ9reieN970Q0zGwnUXZ5GH7smfGJVFUVqbUjaQLTLKkTcHdhzaukfOWtDLSO\nJmFpniEAACAASURBVGzUGSwo8TSUCaeBo8rKPf9vG5a89Hbgr+TgfzWlndF+Jpx7up2KjRPHmE2G\nVi9y3f9azhvfPjOt+3beZKR+jR6DUeDoWxItF2Q+8r/tRMIqb74S4cyJKJ/5cg71a/Q0N0TpaJNZ\nt1FP+0UjLzwZGlO3olrLnfeYATP7X4/Q3REfV37r3WbKKjV0thvo645zxz1mTh2TOLw/QnNjjI9/\nJod9ryZOVO64x0z1Ei3tF40c3i+NGYcsQ2mFFqNJQFHUMW0//khqz64qKko8PcNnIap22UvM1F5f\nMnXFNAkcOorGaqXoEx/Ft3c/8pALJlACjbmmzuszGyhxlbisotHObD0xE/Kvq0WXO3oqpTHqyb+u\nlkDzANJwYm1lKnVgXZJP2Okj0DKIzmag9I7VIAgEWoZwH+8AFSzViRhPQ6Ed97F27MtLMORb8DU5\nkVyJtrRmAzlryogHJbyNTrRm3YRtZckcg08do+Ad6xl4/PCc9bloDBdFkvC+tJdIcyvGlcsx1FWj\nKy9B0MzM/eEyqiwjtXYQPt1I+NT5OQ3ghYSx4fr5Y+hKirDesBXT+lWIhmnsGKoq0fYugkdPETp+\ndmxw9lyhKAT2HyHw1jFMa+uxbFyDYXltUsnkVIgHQkTbOgmfaSB8rgk1lhmZ08VM6OR5pIsdWK/f\nimXH5mnH7cjOAQIHjxM8fAJVnvh9Il1szxouGaDr3IusvOHjuLtPM9h+fOS6Nb+akM85a/1WX1fE\nLV/egNE2893gvjPDnHmybeqKs0D7gfRjCFbdVUXTi904z6fu3nbgjQhHD0rIMXXE+/U7/+xBEBkJ\nkv+Xrw6j1QrIcmIF9JUvjJ4KXVn3vmorj/86QF+PzOW8kle39aNvecf0/+P/GP39mceC6PUC0ag6\nrmyicRx4PeG6dpmr204FyR9Ly7XKYF94pw7bPlY/0z3ASSn988+hsdkQNBoKPpA8/rDrK8lV666k\nrGI7oWA/hSXraGl6FlCw2sqQIj4kKfFa2uwJifBwyIUsR7BYS5BjISTJN2GbIbeErWj6GxfGHAMR\n78zXQLkbK2l/eHTDJm9rNX3Pn2fZZ3dz/l9eQNRqWPKxnfQ8cRJDgZVAyyCiQYfGbCDmS4iqXGbF\nF/bQ91ID8YCEqNNirnAgDYeo//PbOPVXT6Ax6Kj/0q30vXAeQ5ENzvclbStL5jBW5dP/xGHMy0qJ\nDk38Psw0i8ZwuYzU3j0SryFoNeiKC9EWF6IryEOTm4PGbkO0mhGMRkSDHkGvRRA1I4kLVVlGicZQ\nA0Hi/iDhhmZiPX1Eu/qmnTdlNog5Bxh+9Bk8v38Rw5JKrNdfh7YgD9FiRtDrEAQBJRpDCUeIu4aJ\nDbmItnchtXQS987Nm2ZKFIXwqfOET51H0OvQV1WgryxFV1qciLvIsSXUo3RaBFFEjcUSr0k0RrSr\nl7jbgzzkItrZQ6w/c+5nvX/3jYy1Nd/EA0G8L7yO79X9GGorMdRWoq+uRJNjRZOXCGhWY3JCxczj\nI+YaJtbZg9TWScw5Puv31QT2H8lo/FWkqYXuv1g4+UzmCing4uTz/2/cdY+zEa8z87LCokZg28fq\n2XB/cvns6SBLCq9/49S87VIq8Zl1vPvP1vG7z+wnGk79sz0qXaVipIJ6lX1/2Vi4mivr9nbJRMLq\niNGSrK1JxxKd/PmvHMeVRku6BAbDaRkuuZUzk9jONCUrc1m6e+JEz5kifK4h422KGj1yLIKqxtHr\nrQiChqram2hufJLC4jXE4zHy8pfR2vwChcVrQFWx5Wyktfm5CdsLDoXTMlxKV+fSdmBmGys6qwFT\neQ7WukL8zQlhINfBNjynu8lZWYKlOh9/cz8xXxjHhgr6nkskdZWGAoR7PUTdITznRuPcYt4wfc8m\n3FUFQUCNK9jqCtCY9AiigG1FMcMnunEdHN1kSdZWlswgiAKWFWWELjrJuW4p4fYB1Njsb5ovOsPl\nSlQ5TrTHSbRn9nYu5ws1FiPS1EqkaXG7RqnRGNLFtvHuSFkyghqLEbnQmnZi0YqcdVTmrOdQ1yMo\n6tjF3dqSuzDpcjjclaKvyRRsrXgAq74AWY3yZlvy3BpTjetaYDZkkPNqbNz0hbWUrJq+Elcy9n3/\nHJ7e+c2IHnRH0nZ3y620cvOX1vPC18bnSpltUpFSXmj4+8MULpt+3pOy9cml2ucavUnLLX8xcwW9\nqfA891LG29SIWmKxIKqqYLGWYDDmoNUkPC9CwSEKi1YTDAygKDGslhIiko9IJPmJYmAgAqumP46S\nDBguedfVMLC3hVCHa8TNSzQklpyiUYcixUCFC995DXNVLiu+uIfTX7mU+0hlnMu8EhuNnyjavRzR\npKPzt8exrywFQUCJymgtExjdE7Q116zdauZdH3bQ3Raj5XyE/S/6J60viLBxh4WSSh3P/iqDolAZ\nJmfrUmyblqAryiHcNjdGCyxywyVLlmQ4luSy/L6VdO/tpPfg7CiqpYpFn0eVYxO5pnJ0oomYIhGK\nuunxnWEwuDAMU0EQZ31X/XjP79BqjFxX+WDK98zFuBY7RruerR9dzqq7q9OWs52IU4+20vBcZ+Ya\nTJMj/9PM7i+sTfv+JTeUsO0P6zn0s7mTcl6seLrSM1KtBUYcZZZ5N3IBbvzsGnLKZ1/4Yjbwejoo\nNORgMudjMDkQGF1wi6KIVm8mEvEgilrc7gvkOGqJTxIr52r3s5TpnzzV3VTGwf9qHJdDZTrkba6m\n+buvI4ejVL1/M9JggJyVpZjKHegdZoIdbozFdiruXU88FCXcO+raGGgZpOYPtmFfUUT7L8bHTkSc\nXiru24Qxz4LGmHBT9DU5Kd5Tz9JP7UIQBVp/doB4JDZlW3PF/hcDvPFMwismJ1fDXR9wYLVreOG3\nXtxDMre/LwezRaT5bIRDrwVwD8qUVCaezWwVCQUU7v1ILr//n7lTdpwKz6FmpAEv4bbMp9qYjAVt\nuHzr2w5uuGHUgu7uifOee6evMvP47/OpKB+Nhdm3L8qffmHhWrFZZo5jSS49+7roPdhNxY3VDDe7\nCDoDrLhvFW0vtFB39zJ0Fh2uhiGGzg6w4v2r0Ro1+Dp8dLzSyvL7VqHRiXS+2kZoKDxSP+AM0PV6\nB7FglPr7V9H42/OTjqPAUsvqoncgq1H6fA2EZQ960US+uQadZnYSbU6Hbu9pur1zI+IQV2PE5VhK\ndedyXIsVg1XHqjur2PiBOgzWzMYYdBwc4K2fLIyFfuPzXax/Xy25lenn5tr0gTpA5dDPMu+edy0x\n0JT+9+Ly2yo4/ND8z+/yW8vnewhp0dt9EICerkT28XDIhSCI9HYnYkTy8utpvfAchUVrMFsK8Ho6\n8Xm7mWxnZ+ji9OOcAGxFRup2lXLx9fQVSRv+9cWRnzt/kzjx7H+tCVGnQbm0Mx/p99Hy0/2IGg1x\nafS7IdA2xPl/fH5Me+f+72jOK2+DE/8/v4AqK2OSVzZ/73VEvRYlJo9My0RtzQfbb7VSuUTPybdC\nnD0a4qXf+Vix3sjmXWZee9JPWZWe7/7dxKdc17/DzsVzYaTIwtvFU2WF4vduA0Wl/4m5MQwXtOGS\nJUu6dL7RTv0Dq/G2ezAXmvF3XQpurLAjagWsFXaO/FviC6L0unJcDUPEIzG0Zj3Vty4h4goT7POz\n4v2rOfWfx0bq5y7Lo3J3Ne7GIeTI5MeiBq2VVUW3Epa9nOx9nGh81HWkw3N8kjsXDpNlNM4yP+TV\n2FhzTw0rbi2fcW6WiRhq9fPyP52Y0W5rJlEVlb3/cZZ7/3X7jNrZ9IGlmBwGXv/W4jCIjXY99bdX\nsPy2Cn7zqb1z0md/Y/q7uWvfU8OpR1uRgqltTswG6+/LTGxXKjhu24MihfHtPTBrfahXZJF09h6n\nqHgdkYiHgN85rnwiBi+kZ7gAbHh/HS17+zL+OaBc5U6kygrxCWR0lSTCMcnaGbkeHe9aPFVbc8HB\nl0dPXG64w4YjX0NvewzNJRU/10Dyv5uaZXryizQ888jC23DPv309/uOtmGqL5qzPrOGS5ZpEiSmc\n//kZtnxxB97WYQRRQNCIiJcSJIWHRqVdB08PsPXPtuNuctHydDPL3r2C0GCQeEyh6dKJyuX6w81u\nau9YiinfzMUnJt+RLrevQSPoaRp4bYzRciUaUU+FfQ2FljpMegciIqGYly7vCZz+0d3LNSV3EFdi\nDAZbqc3dhlnnIBoP0R9opn34MMqliN81JXfg9DdNWgdgQ+m95JoqRn5/rfV7E8+jKrOt8kMYtTYi\nsp/24SP0By5Me/ypkuq4rIZ8anO3YzcWo6oynoiTNvchwjEvDmMpq0vuoGnwdeoL9yDJAc70P8OS\nvB0UmKsZDLbSOPAq6iLzQXNUWKndUcz2T9bPWh++3hDPffXwtILZ54LeUy5OPdbK+vfNbGG68s5K\nTv6mBU/P/Ls0JaP6uiKW7SlnyQ2laHQC8QwE3adKyC3havWTv2T6wfZ6s5YND9Rx6Kdzf1IniAI7\n/mgl69+bWp6QTGDevJ7Ixblz9ZUkD86+6W14hT0SQ60+CpZMPz1B4VI71/2vFfPyel6LXH+7lepl\nBlrOR4jLUFKux2gSJ8zdXVqt58Y7bZRW6uhpj9J8JsKytUb8nvk3wK4mHghjKMtFm2NB0GqSKpVm\nkqzhkuWapGx7BXkr8uk/1kdoIED9A6vxdXmRpfELMq1JgyHHgDHPSMGqAjpebWPlB9YQcgYYbnYT\nGQ6Pqe9uGCJvZQGSb/IAa4epgojsxyslD3JUVJk8czWucCcBzzFAoNKxkfrCPQSjbvzSqAJYnrma\nXFMVnZ5jhGM+8kwVVDs2EVekMSc4ywt2T1nntPMZdBoTNbmbKbOtTjo+k87BRdd+4opEqW0lq4pu\nIxoPMRzunvb4UyGVcYmChg2l7yYgDXFh8HWMOht5xipiVxiHetFMsXU5F4ZeZ3nBbjaWvpvBYBut\n7kMsy7+RPn8jnnDPtMY21+SUmilYnkNxvYPqbcU4KmbXb9/dHuCpvzxIyD23UvCpcuhnTVRuKSKv\nOn2XMYD3/+dNnHq0leOPXCQWWRgGmkYvUrYmn7qbSll5Z+W8jqV1vzMtwwVg04N1DDR5aNs/d4I5\n5jwDN//5eqq2FM5ZnwCi0UisL3W57rKanQz0HMdkycdkKSLkd2K2laDRGYlF/PiHO8ktWoaz6xhG\ncx6O/DoC3m5iUnDkus1RgdlahE5vZXjoAracCoL+fvyerqT9dhwcSMtwgUuvZ6NnxoH6b3fOHAlx\n5sjYPFhH3gggX7Ep8cj3R8Mg+jqiPPzvo4qqu+6yc+i1wOwPNA2Gnj+JdU0VMVdgTowWyBouWa5R\neg9203+8j3g08Yc03HwAJa6M+L2e/e+TI3VX3LeKt77+JpJfYvPnt+P89kGO/fshRK2IcukI+8r6\nqqrSs3/qoGWj1kIoOvnRrqoqnOh9fMw1nzTAzqqP4DCVj1n460UTJ/t+P2I0uELt2I2l5Jtrxhgl\nDQMvTVlHUWUk2Z/0JOgyOtGA05+Q/RwKtrG96sPUOLaMtD+d8adCKuMyaK3oRCPOQNOIuEEXp8bV\n6/GewRPpJd9cS4GlhhbXflRUavO2YdHnzqvhImoEtAYNBqsOS6ERa5EJa4ERa6EJR5WVomU5GDKQ\ngyVVBho9PP2VI0i+hZvrIB5VeOWfTvCe/7gerT59FQKNTmDTB+qov6OCs091cP7pTsKeuTfWHJVW\nytfnU31dEeUb8mfF7S8dWt7oY+sfLEv7/lv/ciNP/eVBnOdmOYhYgOW3lHP9p1dnJF/RdJGHPWgs\n5qkrXkKrNWLPq8VgzKGv4yBlNTtR4hKKLKHR6BO5WITEkiyvqJ7e9itc0C5dtzmq6G0/QFnNTvKL\nVxPyD2Cxl05quLS+6WTzB5em95DA7V/dxP4fnOfsk+1pt5FlPPI0TlId+Rr2PrtA0l1chewN4dnf\niGP78jnrM2u4ZLlmuWy0ACMGyER0vNLG0nvrUeIKLU82TXpPxQ1VGHONdLySqrzz9N08JNlPXJXR\nimMlYGU1OmIwXCYse8gxjM0OnUqdlMcSH93lUVFxh7sosk6+qEk2/kwRjnnxRHpZXnATdkMxF4be\nmHgc8YQ7kKxEiMT8I65hcSWKKMzOQuf+H9yY1Cdc1IhoDRo0Bk1G1b9mSvcJFy/83dEF5x42EUOt\nPl7+pxO84282z1jh1Jxr4LqPLGfTg0vpONRP2/5+Og8NzEqMhjnXQH6tnYI6OyVrcilZnbsgs80D\nDHf66T7homJjflr3aw0i9/7bDo48dIETv2mZlVipys2FbPvYirSkmzNF4OBhbNfvwPvaXtTY1O+Z\nmBzG3d9AQclqCkvXEo340Gj1I3GEJksBFlsxFnsJ4ZCL0urt+D2dxOXoyHU5GqSwdB2iqCXkd6LV\nGgl4J1fNHGrxMtDkoWiFI63nFDUCN35mNcWrcjn000YCA+Gpb8qSUZ58eOEoiSXDtLQEz8ELU1fM\nAFnDJcvbHk/rMJ7W1D4YuvelLg87GGylwr4Osz6XUHTi9uvyd1JpX0+H5yhDoQ6i8SBxRUYUxu++\nRuXQuGuJ77zJV3Cp1EnO1fcJY0yx6Yw/k1x5yrOu5G7yzTWc6P0dnshokrGRmB5VJX5VLpjZUvU3\n5xpmqeXME/HHeO1fT9F+MP3s9PNB234nP3zHM+z81MoZx7wAaPUidTeWUnfj5LKxSlwlHo0TuyTK\nodEmYuZ0poVxUpJJnvryQe79xg7K1qaXnyWRCHUF2z62AgD/YIQLL3XjPD/MQKOHSAone+Y8A0XL\nHRQuz6FqSyFF9ektvH29IR773H5MuQYe/PGutNqYCNuNO9HYbFT87V9NWq/rK18DoK/9LQCGnOeS\n1m05l8hjEvQ5U7qeKo9/4QAP/uSmGclEL7+ljOW3lI38HgvHcTYMM9DgIeSWkIJRJL9MLCIjCAKi\nNnGqrDVosBYYMdj0GO06jDl6TLkGzA495jxj0r+f1n3Oecm/lCV1TLXFIz979s+domDWcMmSZZbo\n85+n3L6WFQW7Od331LjFM0CBuQZvpI+24dEs9TZD0Rj9/vnEoBn9ohMQyDNVEIiMarYvhPGf7X+e\nXbWfwm4sHWO4ZElO7xk3L//TCYJDiy9J4mUO/KgBJQ4b3z83SlKiRkA0adGZ3h5fm/u+d477f3Bj\nRnL32QqNY9yV/M4woeEIUkAmOBRBoxPRGER0Ji3WQhO2ImNG5jnsjfLMV44Q8UWJ+KKEhqWMbS6E\nzzVkpJ25QImrvPWTRu74280Za1Nn0lC5qYDKTQUZazPL4iLcNj+bXm+PT+AZIoqwfoOeHTv0bNqk\npbBAgyNXRBDA7VYYGIhz5HCMvW9GaWpM383g81+w8uEPj/rMvvNuF/39o+5O5eUa7rrLyOatOmpq\ntNhsAoIAAZ9KT2+cxkaZo0ejHHwrSjA49fH8VP2l0ufPfx5Kub+rmWhec/PEOZ3TVJ5xuvN6mYDk\notX9FnV5O7mu8gM4/U2EZT86jQGrvhCnv4FA1EWeuYpi6zIiMT9mQy4V9vXElNnzuRcQ0Gr0aEQD\nek3CncuszyWuSMjx6BgDK6pEKLWvJBaPUGpbhVFrp3HwtdFnTHH8V/aZ6M+BHI8iK1GUS/2lOq48\nczVl9lW4Q51E5ADFl1zXFnqw/UJACsQ48nAzZ3/fvmDkjmfCwZ80IHmjs6q09nbF1erj+C8vsvlD\n6cdHJMNWYsJWMrt5rGJhmWf++jCe7lF3156TbpbdPP2EjBPhee6ljLQzV7Ttd9JxcIDq7XMnW5sl\ny2yQNVymYOdOA5/5nIVlSyeeqvJyDeXlGjZu1PNHn7LwoQ+6uXAhM77i+fki/f1xjEaBz37Oyvvu\nM6GZwDc+N08gN09kzRod991n4uDBKJ/9zPT1vi/3B6Tc5z//c05a/U02r1fP6ZEjUb79rUBG5jWd\nZ5zJvHZ6ThCIuqm0r6M8Zx1aQUdMlQhKQ8SUMBdd+1gm7GJZ4W5ERALSII2Dr1Kdu2nGz5qMYtty\nVhbeOubatooPAhBTIuxr/6+R632+81TlbMKktROWfZy/IvAfSHn8FY51LM274Yr+PgRAWPZysPPn\n0xpXRPaiEbTU5m1HJxrwRvo443wWn7S4XJ7mEkWBc0+1c+Th5gUdgJ8OJ37bQsQX5cbPr0WjXRgn\nldcKRx6+QOnaPMrWpecyNl/EwjJP/+VhBpvH5jHpOTWUMcNlMfLqN07zwH/euKhcWrNkuZqs4ZIE\nrRa+/Fd23n3v9AKMH/5FHt/6pp9fPTLzALbCIhFHr8i/fyeHVStTDyZ+6630FiaFRSKcB4djen1O\np7905nXrVn3G5jXdZ4T059Ud6sAd6khaftb53ATXnp/098s0DLw0Zb2r6zj9TSnlWDnjTGQqbnW/\nlbSOJAdTGn+X5xRdnvHKX+mMKxT1cKrvqaTlnkjfmPwvza59Y8oPdDw0ZR/XEh2HBjjwnw14uiaX\n0yzZejvOIy+SU7uGqN+N5B3ClF9OaLALNZ7YNDDkloASQ/K60BotFKy9AW/7OcKDCWPWVFBGeKgX\nUWdA1OrQ23IJD/ags9iJBjyIOgOCKBCXMuui1vBCF0Ntfm7/643Yy1JXesoyOaqi8uLXj/Pub+zA\nUTm7ctyZIuKL8sz/OcJA0/hNpt4TQxPcMXO0DgfagoRxJ7vcyMMLL1EgQMQr8cLXjvGuf9k+I2W+\nLFnmk6zhMgFaLfzbNx1cv3O86osch7Y2GbdLQaOBvDyRmlot4qWNPlGAP/szG4UFGr7znZnpbhcU\niHz738cvrhUV/H6FWAzsdgG9buwu474303MzKigQMRiEafeZan+pzKvXo4ybU8jcvKb7jJD+vGbJ\nMtfIUYXmV3o48/t2XK0pymhqtBSu34UhtwjX2QOoioK1bAmxwDDRgAdrWR16RyGSux/J60LQaBH1\nxhGjJnfFZuSgH63BjM6eh2Ppenzt51FVFVvNKnwtZ7DXrcXXcoY4mY+tGbzg4beffpObvrCOpbvf\nXrvqRTVbiPiHMFjy8Ls7sOfXEPL2I2g0qEocRZEprtlGf/shlHhsTLnBnEskMISiyFhzKwh5+wkM\nj8rrhj0ST375IO/55s5Zd+/KBI9//kDSBKPevhD+/jC24sw8h66okLx3vxN91djcO9HuHoafeIao\nc+HlP3GeG+aFrx3jzr/fgqjJnlBmWXxkDZcJ+JPPWMctrt1uhR/+MMhLL0YIBMb6hufmitx5l5FP\nfNKMzZrYxfjIR820tso880z6X9AFBSKrVycW18GgymOPhnljr8T5czHkS15ToggVFRq2bNWz+2YD\nJcUinZ3pJQEqKBD50l/YptXngw+aUu5vOvM60ZzCzOc1nWec6bxmyTJX+AcinHuynfPPd03fJSwu\nM3hqLzm1awBQ4zKxsH+kONjfgcFRiKmonKCzjVjQSzwSJOJOLM701lyGm45hLqpEVVWCva0E+xKy\n4d6Lp8ipW4/WYB7TZqaJhmRe+sfjtO4rZcenVmErnB1J7rnkslzuVOSXryXo7UWjNRCVAljzqohJ\nflw9ZwAI+ZyEvE4sjrIx5X53J1LQTUX9HsL+ASyOsjGGC0BwKMLjf3qAO7+2ZV4liKei8+hgUqPl\nMj2nXNTfXjHjvrR5uRR98g8RtBqCJ08hD7pAENAW5GFevYrCT3yEgR/+F7Eh19SNzTGdhwd49v8c\n4favbkJvyS4Dsywusu/Yq9iyVc+HPjTW1eBii8wff8qDxzNxLpDhYYVf/iLEq69IPPX0qPb9l//S\nxunTMbq60lvwvvNdiS/dI0ei/PVf+SbsX1GgszNOZ2eY3z0WxmBIfwflne8yUlKsmVafzzydmgEx\n3Xm9ck5/+CMH5eWjkokzmdd0nnGm85oly2zid4Zpe8tJ+1v99J52Zyzo3uAowFxUhajVM9x0BL09\nH5WEgXIZQdSQu2Izw03HCDrbKVh3I+7zBzHkFo9pS44E0ZmthAaSJ8rLJC17++g8NMDGB5ey/v4l\ni9ItJuKP0fh8F+eeSu5mehmd0Y6z/TAF5esQRR1yLAzqxN9XttyqMeWKnDBwQ75+tDrDOKPlMkFX\nhN9/8S0+8dQdaT7R7BGXVY78dxMnH22dsm7PiaGMGC45e24GVJz//gNkz1jXMN/Lb1D86U9i37Mb\n168fm3Ffs0HX8UEe+/x+7vzbLYvGDTBLFlhkhktFuYYjR2dXEeMTnzSPkX8MhVQ+/1lvUqPlSpzO\nODFZRXcpQNRkEvjYxy38/d+ll/G0pFjDsWNRPvdZz8hJwFRIUvqLlssL+un0mWp/6c6r0xnn85/z\n8sivczMyr+k8I8xsXrNkySRxWcV10Uv7oQHaD/TjastMRmXnkRcB8LadHbnW/cajIz+Hh3qRPIMo\ncuyKe15A0CT+pgI9Fwn2taIqCuHBbq6MRhNEEVWJ4++amwRlADEpzuGHmmh4rpP19y+h/vbKRZFz\npev4EM0v99DyZh+ylNrmTE/jq4l7fZfi2QThcgKnEfrbDgHgbDs4Ybm79yyCIKImMXggMacvfv04\nN352DaachZFAs+/MMHu/ewZ3W2oneT0nM3MCYlhaS/D4yXFGC4Ds8RA8fgLzxg0Z6Wu28HQG+M0f\n72XLh5ez4f11CyoxbpYsyVhUhstss6Jex+ZNYz+MH3ooxMBA6jv7v/5VeIz87h13GvnRD4M4nemd\nunz1K76UF9eZICKpGe9zpvPa0SFndF5n4xkXKlqDhvwqC3lVFmzFRmxFRmyFJkx2HQabFqNVh1av\nQdQJI4pMclQhHlOIRxXkqIKrI0jIIxEajuJzRhjuCTLcFSQwlI35mQtUFdztfgabvQw0eWl8vpN4\nbOqNlNngSqPlMmp89G9QVSYel6WsDs/Fk6jK3Ltb+gfC7PveOY48dIFVd1Wx/RMLTzpZUaD/3DAt\n+/o483jbzBucyr0sSflkRstlWvb20X3CxcYH6lh7bw1aw/ysdl1tfo79opmWvdPL3RR0RfB0ZIEC\n2wAAIABJREFUB3FUzOyUQTQaUfzJ3dKUQAjRuPDVu+JRhUM/beTCyz1s+fAy6m4qzUjunixZZous\n4XIFN988dnGtqPD0U9OLpXjy95ExC2ytBm6+xcAjvxyf9TwVBgfndoHy3LORjPe50OZ1Np5xoSCI\nAhvuqaR0dQ4ly3PIKTMhiNP7FtIZNeiMozvTOaUTB7LGwnFcHQGcjT76Gjz0NXrxdKf3Pn87IUcV\nZCmOLMUTxmEkTjwaJxKIERyM4B8IExwI4x8MExyI4B8KE48u7vdroLt5voeAFIhx4jctOBuHqbux\nlCU3lGDJn78YGL8zTO9ZN52HB+g6OogUSD9f1Vwj+aMc/EkDp3/Xyqq7q6m/o3JO4oli4Tit+/po\nfLGb3tMuSPMgvPvE0IwNF3nYg76yLGm5vrJsjLpY/n3vxfW7Jyi4/70M/fZ3CWt1EkSTEV1+PlJ3\nIj+VefUqQg2NU96XLsOdfl76x+McedjKvf+2fd4kk/2DEQYah7n4Wu+89J9l4ZM1XK5gw8axKlMX\nmmLTOm2BhDJWd0+ciitiMjZu0vHILzMyxFnn9dcyn+Nhoc3rTJ6xcEUuS2+touXVLhzVdtytHmJB\nmbItRQw2uClalU/7mz3kVNiIBmIUrcrD3eJF0ArYS614On0Ycw10HuijemcZHQdm/uFssGhZsr2Q\n2u0FVG8uwJSTusTzTNCZNJTU51BSn8OGdydUdcLeGB1Hh2g7NET7MRdhz+LLGfKD25+Z7yFkmUX6\nTrvpO+1m3/fPUVLvoGxdPkUrcyle6Zi1xVpoWMLV5sfd4qP/goe+M25C7sV/YhlySxx9+ALHftFM\n+YZ8arYXU3VdETkZkqRW1cTJivOcm97TLjoPDhBL0X1uMt78zlne/M7ZqStOQvjMWew334T9puvx\nHziMGksYnoJeh23ndkyrV+F96dWR+lJbO8aaauKBIBqjEduNO0EQCB49jrFuCdr8POIeL4LBgG/v\nPuw7thEbciF192AoK8V+/Q50+XlEOjqROjpnNPbJ8HQFePiDr1CxsYCKLYVUbCwgv9aW8X4UBfzO\nEMMdftwdAQaaPPQ3DM/b34Usxa/5z/7AYOSaeMZFZbh098R5z73T9099/Pf5Yxa8ybisNHWZ5ub0\nPiCbm+Ux/a1fNzcLyUxw5kzmd/0W2rzO5BmX3V6Nu9VL4ao8zj12kbX3LwcBzvwm4btftDKfdQ+s\n4OD3T7HlY6sZ7vCRv9yB5I/iPDOErzdA1Y5SStYWzEiKUtQI1O0son5PKbXbChZM8LEpR0f9nlLq\n95SiKirOJh9NrzppfM1JaHjxL9SyXEOo4Gzw4GwY3RW3FZvIq7FjLzEnXCtLzNiKTOgtWjQGDTqD\nBo1Bg1YvosRVlJiCFIoh+WUkX4yIP0rYI+EfCON3hvH3h/D2hAh7ru33vqqodB8fovv4EHz/HOY8\nA4VLc8hfmoOjwoIl34i10IjBqkN7aQ4FAeRInIg/RlyKE/FFR+bN1x/C1xdisMlLNLQwT6J8ew9g\nWFJLzm17sN+ym7jXBwJo7HYEjYbIhYv4943mwAqdbyBn9y5C5xuxbb+OwOFjxL1ecu+5G+IKgaPH\nMFRWINqsqPE4wTPnMNevAEDq7SM6MIBv34Gk7piZRImrdB4dpPPoIAAGm568Wiv51XYc1Ras+UbM\neUbMeQZ0Jg0a3ehrmnAzjhOPKcgRhWhYxtXiJeSWCLolAgNhPN1BvD1BFHlxnyQvSASBmhXvwGQp\nQFVV2hqeQQqnn1eorPZ6iso30nj8F0RCwyPXDeZcpCt+n0sWleEym1isAsarlKP6etNbYHdfpXaV\nmyui0UB8ms1F5jggPCKp+P2Z/SBZaPM602e8HPsRDcWo21NFyBUmFpFZ/b6lDJx1gSjQ+EwbdXsq\ncbd50Zt1DDS4yamwEgsnvoC7DjnZ87fbee3/Hpp2/5Y8A+vfVcGauyqwFixs/2lBFChdmUPpyhxu\n+uPldBx1cf7lXhpfWXi5DbLMDZVVN2C1lDIwcAaXq3G+hzMOf38Yf//kSW7XWnaTr0vuIiQA9kv/\nAE4FXyXM2+s9H3JLdBweoOPwwHwPZdZQYzEGf/ow1us2Y16zGk1eQm0v2tVF6ORZAsdPjnHrUsJh\nBIMeqaMD04qlqNEoqqIgaDQo0SgoCooso0kWYJKiLPZsIPmjIyeVWRY2joKliBo9Dcd+jsVeQvWK\nW7lw8tGpb0xCb9t+zLaxKpF6g5XSqutob3xhpsNNi6zhcgm7ffyOdSCY3gdFKDT2PkFItD88PL0F\nczDN/tNlNvpbaPM602c89MPTo/2Lwoj07OWfB5sSOxCeDt+Y60NNozsTOeVWeo44pxW3YC82svX9\ntay+q3zBnK5MB0EUqLmugJrrCnCUmjn1dPeCdSPbetdXx1079sI/ocTfBmoOs0xe3nIslmKCof4F\nabi8nVhtuZHBWCcD0anllrNMjBqP43/rMP63DqdUP9rZDYpC8NhJcvbsRonFCJ07j3FJ7Zh6urw8\nLJs2oC8qwjQwQLipmWhvHznvuJXwuQakzrmRFZ8p172/msHWAN1nPMSkOMXLbIQ8UfyDErs+UcfZ\nF/qIRxW8/YmY1yvLAbbcV0XDq/0E3WN/j4VkSurt9DZ4kaXE92jJCjv+wcSpjjXfgM6oQRDB3fX2\niru0O6oYHkx4gAR9TkyWhBJvQela8ktXo8Rlmk89OuZ371AL0WgAq72U7pa9GAx2albdSdOJX49r\n32wrpnzJjZgsBSxZfQ+eoQu4++f2szxruFzCZBy/y5GuBG4kPP4+i0VgeJqnavH43Bous9HfQpvX\nTD7jlfkykuXOmOi6HI3T+Gx7Sn0YbDp2fHgJ699diUa7+AyWidj5h0vZ9uElnHuhh0M/b8M/mJpQ\ng95go3jJNnIK6tCbHAj/n733jo/squ/+37fNnT6j3rWSVtred7221x3bGFxiSAJJDCQhhABPeuEB\nnpAfeYD05BeHlgBJwAECJnSDbcC9rb3r7euVdrWrsup9ervt+WO0I42kkUarUVl737x4eW8798zR\nzL3nc75NENG1KGP9rxEYPEsk0FuQ/l187TEkmxPF5qJ83b6CtLkQTm8lYBELDS3rNauN3Z4uXhgI\nFCBz1hx86ntb+e+/7aH1UGFSRM9Fa+xFRKZ+i+W2RpodezAxeDn4g1nna9bac3VyS0WUKXWE9bVX\nHHGt4tyxFbWxgeDjT2AmF3D9EwTc+/ei9Q+Q7OnL7I4cPQaANjLC+COPplffTJN4W3qimRqaslAF\nfvpEVpORw0cQZBnrCkuHKdslDM1k6x2VWBbsvLeG57+SrrdTss5Nw95invv38zRfX5p1fL6FLdO0\naNhXTGgwTmAwwa77agiPJNl8WwUvf7ObPW+vZfh8hMZrinnqC+0ko7nHrM6xmXrHNjpjx+lPrH4S\nkaUiKXYMbdo71bJQbE7K6/Zy5vBDc24D+Mta8mo/Fh5ioPsgpVXb6Wp9fDk+woJcFS6TzFzNB7DP\nMenOB4dj9nXTq8K/kbg6rrOJDOWxAiTAzvvquOG3mrF7rpwYqXyRFJEd99ax9a4aTv64l1e+0Tlv\nDIzLV8XG/e9GUuxgWeipKKZloqgeqpoOoKjuggmXoe5XARAlecWES8O2e4mHB+k89eNlvWa1EcX0\nKyeZKLywqNvgYKg7wfYbvcsqXPQZQsRgajtlXRmxLMVy5Wp34YrDtWsntroaAj/Jwz3GsnDv34cR\nCDLytW/mPGex7l9XmmgBUFQR07So3OAlOJwg2B9HlgUEQaDj5REcHhlPuX3W8fnQUyaRsSlh469y\ncPyRPmSbSHGNE0EQOPvsEA6PgsMj5xQuNlFlvWsvAgItrv0MJjswrZVP2V5IDC2Rfk9eQhBQHX7i\nkZHM923m9izWeD7sq8JlkmBwttuOy3V5fzznjOssi4LHjlwpXB3XxVNc7+LOP9lKzXb/andl2ZEU\nkd1vr6dqs4///t3cMT+NO+5HUuyM9p2kt+1JtGQEAEEQqWm5hYnhsyvV5YIjK3Zcvkri4fzjIC7n\nmrVAMhHC7ihGkgovxrff6OOpb49w92+mJ+XbDvi47u5itJRFcaXCo/8xyLljYd7z8QY2X+Pm9Ish\nvvG3F/mFD1RRWm3H5hD44b/1M9CR4IP/0MTF1hilNSrnT0R46UevL8tE8TwxOleZG7mijMT5zrzF\nQ6p/APv6pmXu1WwERErUGkqUGlxyMXbRiSzYEAURw9IxTI24FSauRwjqwwS0YeLG8gn97mMTlNS7\nOPfiMA17S0jFDKLjKfSUwd5frKdknZPXnhicdby00U3NFh+iKHD8R714qxyZ7Qsvj1KzzYfNIXHs\nh710H5vg+nc14iq28eyXztN8Q2lemlAVXQik5xWiIKKIdpJG7to8awlh0uprkT0HCk10U1yxmYnh\nNly+KuLRYZKJIA5XGekIPGvWNoBlaEhyOm7W4Sqe996WaSCKq7egelW4TBKPW4QjJh73lAtAbd3l\nVVmur88e1sCEuejA/NcLV8d1cez8hTpu+dDGKzKOZSmc/HFua4nq8OPwlGFoSbpOPpJVJM+yTHrP\nPb0SXVw2vKVNi17hupxr1gITE+epcuzH660jFhstaNsb93l44hvD9N+UoKY5XXtIEOGhT3ZR1WTn\nrb9RxXBfkv/6ZBd3v7eSwe4ETdtdqE6J//xEJ+V1Km/7X9V86WOdlNWofPdf+hjpXT4LikvyU2vb\nSJFSgU10YFoGMSPIsciTsyYj09nsPECFrYGT0acZ1wbwyaXUqpvxSWXIog3dTBIyxuhKnCJipP1o\nVdHJOnUrbsmPS/IjCelJR5NjF02O2dXdnws+PGvl+Wb/ryAi8Uxg7hz0O923UyRX0Jc8R3v81bz7\nXaLUzNnnmSiCSq26iRKlBofoBiBuRhhNXaQ3dXaWJazQSG43RiiY9/lmNIronLsG1nJRpTbT5NqN\nTZy7po4sKMiSgooTv1xBFesBiOgTdMVPMpIsbJrlQ99Ox09Fx5OMXYS+U0Es0i7ULz7UiSgKWJaF\nZUHPiUDW8dHOCD/85KlMWzO3H/nUVDrrzsNjdB8dx5x0BX/2y+cBOPbI/Fb4hBnFwkJAQLc0Usb8\niTnWCn6lnN2+uwB4YezbaNMsvYGxC/hLm9m8511YQGfrT9CSUUb7T7Bpz69g6BrtJ7+btR0a72Sk\n/yRVDdfRvP3tpJIhLMvCprqobrwRt7ea2vW3EhzrYKT/BPHIKDbVS8vOX2ak/wSBkZV1sbsqXKZx\n4rjOjTdOFUtsabm84Wluzp6Ynzx15Zl3C8nVcV0Y1aVw10e20XxD2Wp3ZcWJTaRofTJ39WtxchVI\n1+J5VfYGcPtr2XzgvfSff57BzoPUNN9CUdUmZJsLLRFmrO8UAx0vFizgXpQUiqu2UlSxEZe/Ctnm\nwjQ0krEJWg9+FdPInlR5itdR2XgtTm8FNkfaslZat5vSut1Z5w2cfyFLmHmK19G08xcWdc0UAqW1\nOyir243DXY4giiRj45x56Suz+pf+TDJ77/oYE4OtnD/6HVy+Sqqbb8ZdVIco2dASIcYHzixKOPb1\nvUJp2Raqa65lZOQMhlEYYeAvtVFUrvD+v2lEdUrsuNFHz7k4/Z1pX+94xMTmFAgMpXjXR+tx+SSe\n//4o227wsX6nm9/6v+ng6MHudH9SCXNZRUu12kKLY19mtdewNCRBxiuXscfzZk5FnyFlzh/7pYpO\nKm2NbHRem1l9BbCJDkrFWjoSJzL7FEHFK6efLXEzilPyICKRMuNzu7ctYwarufo9V5+n45VL2Oa6\nFZuQfhYYlo6AgFvy43b4qVAbORF5moQZWbZ+m4kEoiv/+jSC3Y5lrszKmoDIJs8BKtXGhU+eA7dc\nVOAezY05I+Zzoe1FtX0Z8auameRC9Ah1jq20Rw/Nu2CwlihSqnIftCy62mbHngz3HWO471jObYC2\no9+adV06c1i2e6Rp6rQd/cbiOl1ArgqXafzd34W57voS5Mn5cUuzzO98wMWXvpi/6fCP/8RNdfXU\nBNu04MF/Dhe6q1cUV8c1N/V7irnvE7tQ3W/Mn6KeMnnot1+aN8NaPDzEWN8pSmq2s/NNf0D36ccI\nDOe3wlPdfBO+0vW0v/pNLrb+DEhbcDZd9x6qW27m4pnHGeo6XJDPoqhOLrb+lGRsKme+w1PB3rs+\nytlXvk5obCogPTzeTXg8vRpZ2XgtdZvfzGjPsQXjVcLj3Zx4+rOLugagav0BajfeTmikg/NHvo2W\nSsdZyTYHe+/6KCMXj9J1eu7CZJ6iena96Q/pP/887Uf+h0uuBYrNiSjZ5rwmF+XlOxgbPYvLXcG1\n1/0JAJalo6XiWDnKoB959fMLtvtrH6nlwd+7wPhgehL+e/+8np5z8fSDYhreYgXVIWFZcMs7yvjx\nlwcorlSoakyvjI/0JCf7tKiPtSj2e+7FKXkZSnXRGntp1vGbfO/kgPcXORt/hYHkhZztbHRcS2+i\njWcDsycbM4kYE7wafnRWH3qTZ7mYPHN5H+QyWUy/ATY4rqFabSFmBHk5/ANMssWAQ/Sw33sv13l/\ngbbYQQZTy5P4IfDjxyj5lV9GtDsYe/i7mYKTsxAE/HffhXvfnqwClMvJLaUPZESwaVm0Rw8xkGjP\n+ZsCkAQZv62SClsjcSNUcGvLlUJPvJWeeOtqdyNvZEFhnXP7andjVXljzpZyMDhg8OQTSe66a6o+\nxrvf4+RHP0owOJDfysk73pltGn766SS9va8zf6ZFstRxbWiQX7fj+va/3oOkvLHcwqbT+kR/XmmR\nL555HNXpx11UR8u+XyUeHmG09wRj/SfQkvMnO7h45qeZiTpAMh6gp+0p1u/+Rcrr9xVEuJiGxsCF\n2ZPQeDid8cvpq8oSLiuJKClUNR7ANHQ6Tv4gayz0VNo1orR2Jz1tP8fQZ/8tZNXFaM8xhi8ezdqf\nbmdxqUbr190ya58gyNjUpVXm/tcPd2Rtf+6P0xP+0y+lXXsCwyn+7cMd3PO+Sv7zE51IksAffq4F\nGOAn/zE7Tujv37c8MVNeuRSnlK7w0pNDMIykLlKpNlGlNM0rXAxLozN5Kufxtcpi+i0gUG5rAKAv\n1T5LtADEzTAhfQSfXE6pUrdswiV26gzO7a04tmym8vc/SOTgKyQ6ujCCQbBAcruwravDfc0+bHU1\naMMjeadJXiqXRAtAV+w4/YlzC15jWDpjyV7GkoVJanKVlcFvq8z6e78RuSpcZvAf/x7lllttmaKJ\nDrvAZz7j44MfDDA+Nr8ZsbJSQpmWDUM34Cv/+cbKIZ6Lyx3XykqJB//F97oc1813VL2hRQsWHP1u\nfqt8upag7eX/onzdXiobr8fhKaNu8x3UbryNE08/mFO8GHqSSKBv1v7gyHnAwu4uRbE5sybzy4Ek\nL84yUUg8RbVINgeRiR605Gwrp2noiJKM01NBeGLu+hAjPcfm3L9Y+npni7uV5MRzQd795+twuEWe\n+tbKF0f0SiVAevIeMeauZh0wh6mkCY9cgoCY030lbIxjrMFUywuxmH67JB/yZDxO2MidICFuRvBR\njlP05jynEIx9+/v47grjue4a/Pe8Jed5ifYLjH/vh1ipla9VNZA8v+L3vMrKICBQotSsdjdWnavC\nZQadnTr/9A9h/vzjUw/AxkaZb32rmC99McpPf5qclcnK7xe56y0qv/MBV9b+z38uwtm2K+/Fshws\ndlynj6nXkz25fz2M68ZbK3nLR7at2v0TYY3wSBItppOK6STjBnrCQLaJyKqEYhdxlah4yxwozstL\nprAQXYdHGevK3yfdskyGug4z1P0q/rL1lNbupqhiI9tu/ABth75OPDwy6xotEYE53CUMPYmejCGr\nLmxOf0GEi+r0U1qzE3dRHarTjyzbEaT0I3Y1V8js7lIA3EV1cxbXvIRkyx1InIgVpmJ2d/ezBWnn\ncultj/P1v1q9govKZIyGNk/aZG0ytkVARBFspKy5Y11S5pWRenkmi+m3Mi3IfI/7rgXPl0V1wXOW\ngqXrBH7yOJGXXsa5Yyu2mhokV/q9b8RjaIPDJNrOkuztX9Z+5Owf1oKxUYXAr5RTYqvDr1Siig4U\nwY5upUiZMYL6MCOpi0yklpbxUBIUymy1+JVKPHIJimjP/H5iRjBtadNGmdAGCOsLP59q7JvY4L4m\n5/GoHuBQ4JEl9fkStfbNlKjVOEVf5jusmQmiRoCxVD9DyQ50a2FRKyDiU8qoVJtwyUWTiTWy38c3\nlrxzwXaeG/tW1mKBXXJzXdHbMu+lCW2A48Encl2ekw3u/dTYNwJwMvQ0Y6mVsd5dFS5z8IMfJGho\nlHnXu6YC8YqKRD7yUQ9/+mEPnZ0642MmggDFJSKNjTLSjIXzRx9N8I2vX/lWgUKSz7hOjJs5xxRe\nH+PadH0Zb/0/2xDElZnMxoMana+MMHQuxFh3hLGuaKYScT5UbfFT0eKhrNlD1WY/pQ1uCjEPP/Kd\ny5xAWhaB4fMEhs9jd5ey/eYP0bDtbloPPjTrVNPMHXxvmukHubTIOI25KKvbxbqtdyOIEvHwCOGx\nLlKJMIaeom7zHUtufylcSm6gJULzFqvU53G5M7Qrc5L8+mZt1bDK/5GQf7+nC34tj4mevkJiTp8I\nEHr2xRW512IQEFBFB0lzebJjuWQ/La59cwaH2wQVm6jilouosW8koA/THjlERF9c5W1RkFjn2EaN\nfROKOPez2S0X4aaIMls9AH2Js5yLrIxb3nyIgsg6x3YanDtmHZMkF3bJRYmthkbXTrpiJ+ldILbG\nIXnY7XtzwfuZMCKMa/0Z602RUoVdcpMw8l9IFBAps60DIGnGGU/N9mxYLq4Klxw8+M8RRkdMfv8P\n3UyfX8pSOric5tzXfvWrMb7w+ciyBnheqSw4rvPwehjXyo0+7vmLHYhzqbICMtEb5ewzQ3S8PMrQ\n2SDWErK1DJwJMHBmyq3F6Vep31vEur0lrD9QflkFMkc7I3QfWXptjERkNF3srage2ebIxGxcYr56\nIeLkS9EwlubOoTqLMqKl69QjjPQczzq+2sLFmswYFgn0cf7od1a1L290LllPFGHudLWQzrAF6foM\n+UzW1wrzfabLRZsmRI6Gf0bcXL56I68XytSGBSfEl0ORrZJtnlszrnsL4ZfL2eN7K6fDzzCeys8C\npUoutnluwSuXLKpvw6mFXY4jxhh9iXMooopNUJEFFUW0o4qFSVktCQrbvbfMn/FrEkWw0eLah0cu\npi38Us4kChbWrDTfkiBnCfr80oDPbr8vcS7L7axKbaEzlr9LcLFanUm7PZTsmDcRRKG5Klzm4etf\nj3H4VY0/+iMX+/bltyr7/vcHOH7synnZrAaLHdeTpzQ++5noFT+u3go79396N4q6PK5Xl/jBx4/R\n8fLIsi3IxgJJ2p4cpO3JQUS5lXV7itlwawUbbq5EceT32S7b2jIHWiqConpQVM8s4aLYvQiCOCuN\nsqSoyGra8peKzR1rkC/+svUIokQ00D9LtKwF4pF0vRSHu3yVe3KVoJ52Z5QEGY9URHiOmiU+KZ22\nOKyPL2N61vTDYTGGU9MyEIW5f9+SIOOQlpZgYS4iRmAyVbSCVy4mniq8cFHLvGx98Nfp+JfHCBzK\nnQxhOZBcKju/9H6OvutzBWuz0bmToDaUl/tUvnjkYnZ4bkcUphbcQvoYA4nzhPVRUlYSRVBwS8VU\n2BszBU4lQWKH9008M/r1Be8hCzZ2e++c9T1KGFHGtF7C2jgaSSwsiuRK/EoFbrmIhBElkIdbWlAb\nIajNdie+ofgdOeveLIbpoiVmhOlPnCWoj5AyEwiI2CUXpbY6qtTmjLtXpdpE0ozTET06Z5txI8Tz\nY9nZ97Z5b8lYmgBeHv/+vK6nuRhP9pF0xlCl9Huwyr6ertiJvJ85lepUcdXBZMc8Zxaeq8JlAc62\naXzogwE2b1a46WYb+/crlJVJFJeImAZMTJgMDxscPqzx0ospXnvtyo69WClyjavfL74ux1SURe77\nxC5cxcsXpN396hjP/ts5RjtXLk20qZt0Hhql89AoT3/uLJtvr2L7vbWUN+eexMQmUrQ9lbtuy2JR\nVDeWZaIlZk9qREnGW7KO4Gh2piF/2QYA4uGRJce3CJOuZlpy9rjnE5R/qYaKpOT/8lzMNeHxixha\nAru7BHdRHZEcAfgrjSCI+P2NeL21KLZ0QUEtFSEU7iMY6MRcoRoYK0nEmCBsTOCRiqhVN8+ZDrlM\nSU9KBrXly0J3aZXWPlnIMR8SZgx3DrfKSlsTIoW3IluYDKW6qVabqVO3MKr1YliFrd/lu6aJ0MmL\n+Pc1rbhwKRSjqV5KbbVAOl3ubt9b6I6dpDfRtuTxkgSZLZ6bs0RLV+wEnbGTWeclgYgeYDDZQaXa\nxCbPAYTJ/ymCuuDkepPnQJZoMSyD9uhhBhPnZ63mX8qEporOzMR7NalzbMmytBya+NEsARA3Qkyk\nBhhInGOn986MWFrn2MpIspuwvnQPhMVgYdGfbKfRuRMAVXRQotYwmlz4/SALNkqVusx2VF/a4t9i\nWdPC5Y//qDCD8fb7l/6FaG3VaG3V+NIXC9ChHPzLgxH+5cHlK6C12ve7hFpTh3fPNQiiSPfpk/S+\n5OQbz+lEW08vfPEiWa3POJMb39dCxcblyXgTGU3yzBfOcu7ZpQVDLpVUTOfEIz2ceKSHmu1FXPtA\nIw37S2edd/wHF+et2zITf1kzdk85geGzJCLZv2WntxIQCAy1oWtzB6XWbb6T+KFvkpoUFqrDT+3G\n2wAY6TmSdz9ykYikV/HcRXVZGcokWaVh+z0LXh8Ppy0i3pJGVLuPZGLh6tyLucY0NPrPv0Dd5jto\n2vk2zh/9dlasi6d4HYrqYnxg5ep5FBWtp2n9W1DV2b+JGiCVitDZ8XPGxtpWrE8rxYX4EXa6b6fC\n1oBp6XQlT5M0YwgI+OUKJEEmYkws6ypmyBjFK5dSbmtgRO9hQhvMVBC3ifY5YyTGtF6IYafsAAAg\nAElEQVTckp916hb6Uu3oloYs2KiwNbLesQsLM6sQZqHoTp6kVKnBLfnZ7b6T7sRpgsYIhqUjCyp2\n0YFXKqNMqaMt/jIxY3FWGf++JvofPkjjH7wFQRax9CujCOF0zkYO4vHdk5nES4JEk2s3tY7N9Cfa\nGUieX1T8wnQq1fU4pwmKweSFWaJlJoPJDlTRSZMrXRy31rGZzlhua7RXKaXMNjURtrA4GXqCgDZ/\n5r+kGSNprm7MqyQoWTEtQX1kXqtFRA/QHj3MVs9NmX3rnNs5HXpmObs5JwOJdhqcOzKuZ9X2DXkJ\nlzK1PkvIrjRrWrhc5fWH7PVRdOvtDH/nm5jJJIKi4N60FVG14dy4mdjZVhAE1OpaZK+XZF8veig9\nKVP8RdgqK0l0d2PE0w8rpbgEtbIabXyM5ODqZHJZiIZ9Jex7x7plafvUT3p59l/PkYoXdhVyqfSd\nmuB7H5ugvNnL/gca2XBzRcYv5cSPF5d5RHUVUbfpduo23Y5paKQSYUwjhU11I6tuYsFBul97dM5r\no4F+JNnG9lt/j1iwHwsLl78GUZQJjXYy3D1buFQ1HUBS7MjTrBn1m+9C1xIYehxDSzJ8ceq64MgF\nYqFBnN5Ktt30IULjXUiSDZe/GkFc2HUuPNFDJNCL21/L1ps/QCw4gGVZyDYHIxePzKqfcjnXDHa+\njN1VRFn9Xrbe+H5ioaHJrGpOnN5KxvpPrZhwKS/fTnPLPVz6QhhGEi2VnlQpNjeSpGKzudm46e10\nXPgpg4Nzu1FcqQT0YdpiB9novJYqtZkqtRnD0hAFCQGRqBHkVPTZOWuWFIqeZBvltkZsgsoO122Y\nGJiWiSTImJbB88Fvz3lNmVJHo2MXjY5dk8IlHe8wpvURM8LU2TcVvK9JM8GJ6NNsc92EWypiq+um\nec5eXNYQxefAVu4lcm6AWPcIni21hE5eRHKpbPqrX2H0Z6cov3c3Y8+00v/tgwCU3LqFivv2INpk\nTN1g8LuHGX8hLbAr7tmD6FCwV/hwba5GEARaP/pN9HACyW6j+levx39NE3osRftffgcLsHSTinv2\nUHLbFiSnLXMv355GKu/fy9lPTMWl1b33FvRQnIHvZgeip8wER0KPs91zKx65OLPfJtppcG6nwbmd\ngD7EQLyDkVTXoqwwtY6pv6mFRUc0vziIi/Ez1Dg2oYoOauwbuBg/nfO+tfYtWdvdsVMLipa1QqW6\nPivuZz6BdomRZDdJ175MfE2JUoskyAW3Ji5E0owzkuqhfNL1rFipQpVcJI35i4NPdxMzrJW3jF8V\nLldZUZzNLUROHsdMTlaonqw+7Nq4hcArLyKqKpZhYCsrwwhHKHv7Oxl46MuoFZV4r72ByKljlN5z\nPyM/+h4IAiV3vpXAyy8i+3xrUrg4/Spv+ej2gmThmo6hmzz1mTZO/WRtFw8bPh/ix588QcUGHzf9\nTgv1u4vzKjg5ncBwO6rDj6uoDrujCNXhA0HA0BKExzo5e/ibWDnciixMWg9+hZqWWymq3Ihsc5FK\nhBjrO8VAx4uzYl8AajfdPmtfWf2eqTYtM0u4WJbJ2Ve+Rk3LLfjKWyiq2IihxQmNddHX/gzbb/7Q\nAp/Qov3wN6nd8Cb8FS24i+sxDY1kLEBqjrorl3eNRdfpRwkMnaWsfi9ufy0OdxmGFmfgwkuM9c+/\ngloo7HY/65vfCgiMj5+j5+ILRKPZmc5c7krq626kqLiFpqY7X3fCBWAo1UVIH6NO3UyxUolNdGJY\nOjEjxPHIk8sqWiC9Un00/FMa7dvxyxXYRDsCAgkzQiiHy4pupTga+Tl73HdiF90IpGuyDKU66Uue\no8LWuGz9jRoBXg0/RqWtiTKlDqfkRxEUNDNF0ooT0kcY0XqJL9La4tvTSPhED1gQOtqNf1/abQzS\nsS+CTaLt/zzMln98gLHnW0kOBIi09RM80oEeTmCvKWLjJ345I1wAyu7YTvvf/pD453+G7LGjh9OW\n4Jp334DksHHqd7+CrdSDHk0iuVQEWURQRM782ddR/K7MvYLHOql54AacjeXEOocRFYmia1to+/jD\nc36WpBHlSOAx6h1bqHdumxVE75cr8Hsq2GBdw2Cyg4vx1xa0wjgkT6ZgKqTT5uabsczCZDjZRZ1j\nM4qo4lXKmEjN7SJcbJtyszItk97ElWNpLVWnAtw1K0UglTtz4yUsLML6GOqke58oCHiV0iWnkL4c\n+hNnM8JFQKBabaYzdiLn+arkwq9UZLZH8kiMUGiuCperXBaN6jbW2baSMKO8HP1x3tcJsg0rNnti\nFT1zmkRXJ7ayclKjI1iGia2qGlFVQRRxNG8kdOQQyb4ebCXlqLX1xDvPY0SjOBrXEz6y+qkQZyHA\nWz6yFWdRYeNaIqNJHvnLEwy0rqxf6VIYOhfkO3/2Kg3XzHYdW4hkLMDF1p9f1n1FUUbXEnSfeZzu\nM4/ndc3hRz+VX9uCRINrF0OJC0S1AINtzzF89iCCIBDTg8iCDZfs4/Cjn0aV0rUebKId3dIwLQO3\nXISJSUwPIhogd4/Qee4wQW0ESVDwKCWEpgWTOiQvimgjpI3iUYpJmUm6XnsUXst/PAIjFwiM5OfH\nbxp63mORL9U11yIIEuPjZ2lr/d6c50Qjg7S2fpdNm99OcfHGgt5/ORhIXpi3wn0u4maYc/FDsMjM\nta2xl+aMjVksCTNCa+zgoq7RrRSHwj+Z89hgqoPBVG73tqX227B0+pLn6EsuXBU+X3zXNOHdWkfR\nDemYNyOagK88kzk+8rNTGLEkyaEgtmIPyYEA9uoiyu/ehSAIWFhp8SGJWEZ6EST8Wi/xrvTv9pJo\nAfDtbuD836frhKRGs+PhRn52CgAtEM261/Bjxym7YzvdX34S374moh1Ds66djoVJd/w0/Yl2qu0t\nVNmbZwW7S4JMjX0D1fYW+hLn6Iwez1lTxCeXZW3PFdw+H0F9hDo2A2nhNJdwcct+FGHqHRnSh7Oy\nya1lBAS808YoZgTzzq6VmiEAVSH/eLNCMpEaJGaEM+6AVWozXbGTOT9H5YwFisFVKHh6VbhcZUVJ\nDg3g2rSFaFt2ukZTv2QiFfBs34VosxF44RnsdfUIgJVKIqpp1x1BVTG1JFgWIz/+PrayCsre9g4G\nvvYfs+7nue46EmfPok1MoNbWkOxduVzjW95cPWeMx1IIjyb4nz86TGBgefL0Lzddh0dXuwsFw7QM\nDDOFNvkCqnFuJqKNU6xWcz78KhZm5uFf49hER+QIpeo6xlN9OGUvTtFHxJggRhBBkFBEW2al3cKk\n2FZNwoiQMCIU2SrxyKWE9TEq7U1YlkW1vZLO6NErqhCh39cAQE/PQhNYi56LLxZEuNzxQDk33lfM\nX/5aW2b7if++PDeUDXvcnDu6cKzA7e8s49q7izj+dJBHH1p4BTYX6/f6uemBaka64vS2RjjxxOIm\njrn4pY+18N2/aS9IW1cqkt2Gu6WKE+//MmYq/f7Z9Ne/gqu5kkR/OtubEZv8bVkgCCB77DT+wV20\n/Z+HSfRPoPgcbP/C+7LaNRM5LMqCkDPTY+Y+0+4FMP58G5X370V2qZTcvJnRJ/OLA9WsJN3x03TH\nT+NXKqi0r6fMVp9lhREQqLVvpFSp5UToSWLG7Dg5h5QdgzbXOfMx/Xyn7JvzHIeUvT9UwGxoy41N\ncmaNqU8u47bS91xeWzlq1qwE/YlzNLv2AqBKTopt1YzlqMtSMc1NLGFEV8VK9IYWLgfc92ObzD0f\nMkY5Gnty3vNtgsoB99uy9o3p/ZyKP79sfXy9kejuxNm8kfJffCdWMkX49GyTpBaYwH/gJkSvF0FJ\n/5jDJ49T+pZ7cTStR1RtJF/qQfH78V13I0YqiTY+94RYEEW0iQkkrxdbVfWKCRebQ+am97UUtM3o\nWJL/+dNXrxjR4t1czbrfvplTf/at2S9sQeCKLsgzJwLDyS5kUUUWbSSMyLTia5fSz6ZnJIHUEC6H\nH59cRiA1SNKIkjQThLX0S9u0DJLG1N/ZI5cylLhA0ozT7L6GpBklboQRcqSnXauo9vQkJRZdeAIe\nixVO5MqKgMsro9iW5rN5329X8k//a+EVxie/PYKWMnH7lv6KPfnEKEcfSwut636ximOPD5OMGdzy\n7lpe/v4gNz9Qg6yIHPvZMMHhFNe9rRK7W+biayHcRQqv/GCQW95dy+FHhnjTe+sIj6bAAneRjQPv\nrMbplXj5uwOs2+HlxBOjJCI6t7y7lme/vrbdUJeKd/c6oheGM6IFIHSiB/81TQz+cO6kHZJjsphr\nIB1jWXLH9rzvFzrRTeV9e+j8/M+wFbnRIws/x82UztjzZym9awf2umKCx7ryvt8lAtoQAW2IduEw\nFWoj9Y6tOKSp1X275GKX704OBx6ZZemYWQBysWl3pxcEnW5VybrHjP3aMhXPXA5sglqwtkRh9abj\ng8kLNDl3ZwLuq+wtcwoXj1yCa5oAXek0yJd4QwuX6bilIgTEebNBeKTinMeukj/jTz6OIIogSVia\nxvRcUKmR9OrkUH8vlmFkJrdWMsHwD7+DIMtYk9YZLRBg7OePIUgSZmr+uAkjFAJp5SZ5+9/diKuk\ncA+1WCDF/3z4CIHeqQwqlffspO7dB7LiZ2LdY7z2kdmBtauFqZtzrjJu/6df5fSHH864V1yJ2CU3\nHqUU3dLoi8/vkx3VJmh07cEhexhL9eKWi7AsC7s85cYhIlLt2EB//BxO2Y/PVoYsyPTFzzKW6qXe\ntZ2EEWU01UORUoVhaaSMK+clD2BZBoIgpd1sFtCtglC4wLC+CwnWbXFiU6cy4dx4fwn7bvcjStB+\nPMojXx6kcauTt7ynAsO08BbJjA9qfOWT3VQ12nnLeyqo3+jgd/8h7SrxhY90YpnwR59Zj80h0noo\nzCNfLvzq47bbSqlodHHu5QmGOmJsu62UgfYoqYTB3reWER5NMt6f4JZ31fLoZzsprXfwP59Ou1PV\nbHJTvcFNKmGw681lHHt8mLHeBL/wJ+uJTKQ49IO0YNl0YwnthybYeUcpPWcipBKvv1TUM/HvayJ8\nKts/P3yym7r335ZTuCSHg4z8/BSb/+7XMOIa48+1khjOzwrR+7UXqHnXDWz73HsxIgnaP/29vNZu\nRn9+ks1/9y5Gnzq9pOelYWn0J84xkDhPtX0D6117MvVEVNFBg3Mn7TOqz0szJtPmHDGB899z6nsk\n5RAu0oxYHH2FA9SXQq7PdKWhmUmGU12ZoPtSWy2q6JgVzzQ9KB/Sgmc1uCpcJhGRcEu+OQuCXcIr\nLa6a61VyY5kmmLkfgpY+98Nr5n7LMNICJwdKRQVyURGCJGGrrMBWVUVqoHA1RObCX+Vg7y8VLouY\naVg88pfHGe/OdlEZ/MkJhh4/ReV9uyi9eSNnPvYdjOTaqXkTau2fU0TZil3Yq/2r0KPCkjAinA4+\nndnuiKQnO/3xs0D6pa9KLmJ6kKFkJ0KyO7MwkjAiRPVAVhaZ85HDmRWvmB7gTPC5zDFdT9EePoRA\n2q8+OBkAupLVigtBMhHE4SzD460hGJi/CKnHWzPv8cXQdSZG4xYnNlUgHDQoq1G55k4/D/7+BSwL\n/vDBJho2p1PJ1jbb+csH2tBSFn/6hWYqG+z0dyR46NMX+eTDm/j8h7Prqzz4BxcQJYG/+s4mfvzv\ngwU3JJ5+esriIgiw+64ySmrsvPBwP9feX0lgKImWsnjuG2kLSXBkahGnry3Cne9fx4vf7mf//ZUk\nYwapuIFlWux6cxnuYhujF2NIkkBfW4Rr7qvAW6by4rfXXqKTQtP52Z/O2hdu7ePMn6SLJU4vCtn2\n8annWN83XqTvGy9mtod+PJU8YugnuRNJGLEkF7/81Kz9M4tPTr8XgJk0EFWJsWcKk/XPwqQv0UbM\nDLDLe2dmf6W6nvORw1nPlJkiIlcB0lxMFz5Gjjgac0ZWKukKsiKbM6rWj6R6aI+8cllt6dbqvrv7\nE+0ZYSIgUGlvpjt2KnNcQKBcbchsB7Qh4sbK1YybzhteuCTMKHYxHTjrkYrnFS4eMW1xSVnJyaJK\nrw+1/Xpm7Pvfn/r3D364Ive8+YMbkZTC5Th/7kvt9J2aOxDfMkyslI5lmFmiZfe//QbdX32Birfu\nwNlUhjYWpffhlxk/OLlCIgjU/tq1lN60AcltRw/GGHu+nd6H0w9dd3MFNe+8BldTOfHecbq/+gKx\nrtG82lZLPWz+1NuR3HYszeDob03FHok2me3//AAAe7/2O5n9R979RTwbq2j52D0c/+B/Zfl8N/3e\n7VgWdH5+flfOtYZHKcEheonp6RXZmdbcuVJfLrSieWlScaUJlktMTHTgcJZRX38Lr4X+G9Oce4FC\nFBXWrbulYPft70hwzZ1+TBPCwThVDXbKa238wT9PrSCqTpFUwuRiewItlR7f0ISO3Zn7t6yoIu/5\naB2plIndLSOKAoZR2L/NjjtKqWp2ZWJcxvoSuIsVYkGNYz8b5k2/Ucf4QJL+s2Ei47MnPy6/TCyo\ncea5UW779TpGL8bRkgaGblFSY8dmFzEn+3zxtQj1W93EgmtnAeQNjQDl9+widLKH5NDi4ksWYiI1\nyFiqjxJbeoFAFmRcsn+ae2u2qxeAskjXKHmaq5mWQ7jo1sx7LL2K/UqRmtF3SZDyzrq21ghqw0T0\nCdxyEQDVakuWcCm2VWeKZgIMJFY+KP8Sb3jhEjWDGeHiFUvoJ7fpyz3pKhY2xvBKZTnPu8obl+pt\nfppvLC9Ye+eeHeLod7ou69qG376Fji88RaR9kNLbNtP4wTcRfq0fLRSn9MYNFF+7nrZP/gg9FMde\nXYRkn3oc6JEkYy+ep+uLz1D9zv00fOBWznzsO3m1nRwNc/xD/4V/TwNNv5edWthM6Zz99CNs/tTb\nOfKeL2W5PoRa+0mNRSm+vomRJ9PJG0RFwr+3kfP/+NiiPnsk0FvwjFiLJZAaIsDlB2a/HunvP0Rl\n1R48nhp27novfb0HCQZ70LTJOi6KB5+/jtqa67A7StH1wkwCTMNCEAR0Lf19G+hKMD6o8dk/7cQ0\nLCRZwDQtGjY7Mc25hYdpWSiqiCDCJX25ca+b//y/3bi8MvtuL7wV8cKRABeOZC9aTI89CQwm+d7f\nnUeSBQw93e+ffbEr6/zTz6TTGw93xfnu37RjmVbGKnTm+XEMbeo3aBlW5vyrrC5FBzZQ+56bSI2E\n6Hxwcc+/fAnpoxnhAqCI2aIhOiMY3yXNHWCfC5c09ZuI6XOnqk6Y2Z4EHuXKcclPmTFMy8xYyl1S\n0Sr3aGn0J9rZ4N4PpGOf/LZKApPB9+XqVDYxw9JXJQ3yJd7wwgUgaoZwid55Y1jsojsTiBUyRymS\nK1eqe1e5gtj/q4WrZRAaivOzf1xErtsZjD7bRuBoFwCDjxyn9p37cdQVo73Wh6imf/pmQkOPJom0\nZ/vmJwYDJAbTE6aRp86w6S/uT8fSWAu3vRRGn26j9KaNGeHi3VGPEUkQOrNy2eCusnykUhHOnf0h\nGze9HYejlOaW+3Kea5oaZ9vmTpl8OQxdTBCLpifpI31JXvjRGH/4YFNa1IgC//q/O+e93jLhyFMB\nPvLlDYwNpvjyn3fRdSbG7/5DI8Exnf4L6Wg91SHywIdrqW6yIykilQ12fvDFAcYHF1e/aDFcEi0z\n2XZbKaefnkpyYM6wBk0XLdtuK8VTonDsp1dG4b/XOxMvnWPipcKlfp6LmVFk5gwrcFDLXnjxKYtb\nlPMpUwu8QX3uRZyQNo5hGRkXMa9cjiQoGKvsOpUPpmUS1IcpUtLzQVV04JS8xBZZT2itMJTsmIx9\nSs8PqtQmAqlBJEGmbLLWC8BwqnvFi2VO5w0vXGTBRtgYwyV6cYrenNVLfdNETciYQGRu9wERiZs9\nv5zZbk0cZEhbWJmuV3dRZ0un/oyaIQ5H515hUQU717vvB2BU7+N0/IXMMYfooVpZT5FUgU10IAsy\nKTNBwowxYQ4yovUSM+f/QYmIVNgaKJfqcUleZEFFt5LEjDDDRg+Dqc50leXLKJBmE+xUKA2USFU4\nRDeKaMe0DFJWnIA+wrDRQyDHw+1yx8EpeRY9BpdLUZ2LpusKZ4l76rNtpGKX/3CI905ze7QszJSO\n5Eyb7seeP4dvzzq2f+ZdBA51MvjoCaIXpiYsis9B9dv24tlWg3ypSJo4VatgvraXwuhzbdS88xrU\nCh/JoSDF1zcx+uzZnGlEr3LlMT7ezulTX6Oh8Q48nto5zwkEOujsfJJ4ATKLXUp9fOql7N/9wUcn\nOPhotmtw52sxvvznXZnt6f8GePifswV0JKDPinkx4hZf+eTqrUZOZ7poKeS5V3l94Jaz43YTMyqm\nJ804QX0Un5xO6+9XKlBFJ0kzxkKIgkiZLR3rqVtazhowFiYBfYgSpRpIu6xV2ZvpjbfOef5aYyzV\nmxEuADWOjbRHDi/b/WbOT2VRRTMKkxJftzSGkl1U25sBKLXVIwqvUGyrzoo9GlxFNzG4KlxQBDvt\nqSNUKo3pqqFKMz2p2RmCapR0atuIESA6TxzMSuIR02bJ9epu6mwbso5ZmAiI2EUXdtGFnzJGtdyr\n1g7Rw27nmzLpoS+1kTBjmJi4pWL8cjkb1L1oVoo+Lf+VoI3qPqps67P2Ja04MSOMJEg4RA9Om5dq\n1pO04hyLPTXLfDwf840DkPcYLAWH38Z7vnT97CWsy0BLGHz1vS8SHk4sfPI8zBeobyQ12v/+0cx2\n8YFmNv1/93PkN76MaJPZ9W+/ybm/foTuh16g9JZNNH7otrzbXohL4kcQBWbEZaIFYpz//x9nw0fu\npudrL2ErctHxuSsrtuUqCxMOD3Dq5NdWuxtXucoVjyo6KVcbGE315B0sXabWs9F1HYo4FbNyNvLy\nnILkWOBxdvvvwieXISBwoPiX6Iqdoit2IneRQrWJTZ4DmfTvhyZ+OK8F5WTwSXb734xfTldkb3Ht\no8Gxg7PRg4wkcy8CCAj4lHJ0K0lEX52CzD3xVkzLzLhY1do3EdRGGE52LXitS/ZToTYxkuwinGf9\nmvFUf1Z2ry2emzgaeLRgcY9nIwdxy0V45RJkQaHRuZOKaUUnO2LHCWira5V9wwsXCZGoGUS3dGRB\nzgTgT0dAwDU5OQ4Zo2umdoJNtFOhrKPOtgELk8FUJ0N6N2FzAsPSUQQbDtFNiVyNVywhauYO7ttk\n358lWnpT57iYOpMJPhMQ8MsVNKu7cIk+Gmzb8upjvW1zRrRYWPSmztGrnct6QMqCQpXSRIO6HVVw\nsM1+A0djP8ecJzV1vuMgIuY9Bkth99vqkG2FCcg//M3OvEWLIAoINhlBEhFVBTNPQeHf24gZSxLv\nGwdBwNNSSXI4vSJtpnS0YAzP1hpCrQNUvW3PZX+WuUgOB7F0k+Lrm5k41InkspEamxKqweMXaXjf\nzZTduZXRZ84W9N5XWXsIwvy/G2uRKVivcpU3Gs2uvTS79pI0YgT0EeJGkLgRRkfDtAxEQcImOHDJ\nPkqUGhySJ+v6CW2Q/sTcBUktLF4LP881vnszdV0anNspsdXQn2gnrI+SspLIgoJbKqLS3kTxpPXk\nEvkErJ8JPc9e/z2oogNI15DZ5rmFiCPAmNZHTJ9IB/gLAl6pBLdcjE8uQxFVWsMvrZpwAehLnMWr\nlGYExVbPTaxzbGM01UfMCKBZSURBQkbBLrlxSr5J61X6s45r+WfxG0v1oVtapvClVy5mr/9uuuOn\niRlBdDOFKMjYRHXS80ZlIMffNufniZ/D67kegDJbPaqUzrhoYTGYWJ0UyNN5wwsXQUinF40Y4/jl\ncrxzxLm4JF/GTBYyxzOrCKuNgMhG+zXols7p+HMEjGxTrGal0IxxQsb8Sr5MrsUnTVV470610pk8\nmXWOhcWEPsgx4yn2OO/AKXpmNjMLh+ihQZ0SOG2JVxjSZqdA1S2NntRZomaQHY5bcEt+Km1N9Kfy\nM0fONw4G5DUGS0EQBXbcW1eQtpIRnWPfz8/NZGYdl70P/XbedVwUr52q91yPUuTCMkyi54e48Jmf\nZ453/uvT1P/mjVTeu5Ozn36EDX+eOxZhJut+40aKDzQjuWwIssSer/42ZixF178/S+BoN3okSfd/\nPkftr+xn3ftuJjEYzOqzZVqMPHOWirt3cOFffj7Pna5svJV2/NVOfFVOfNUOfFVOvGV2FIeEYp/8\nvyoh20V0zURPmGhxneh4itBwnIneGIH+GIHeGOO9MRLB5YuhKBwClZW7KSvbgsNZiizZp8qE5+Cl\nF/9mhfq2engr7ZSv91JU56JuZxHOIhsOnw2bU0ZUBOTJLIWGbmKkLFIxnXhIIxHWiAwnCA3HCQ4m\nGL8YZbw7SjK69uMDVhtJEfHXONO/wWonRdUO/NUO7D4bil1EccgodgmbU07/9hI6etIglTCJB1ME\nB2KEBuMEB+ME+hOMdoTQk6srslXJSYW0uFT841o/p0PPzntO0ohyPPRTdnjvyEy2PXIxG93Xznud\nhUVb+MV5z8ncw4xzIvQE2z23Zgkrt+zHLS8t8UWTaw820Y4kKCiCgiTYkAUFSVAymbKcso8Dxb+M\nYWnoloZhpSb/q6GZKTpiR+fN+tgWPohpGVTbWyb7XZTJ0FVIdCtFR/Q4G9zXZPZ55GK2eW6e83zN\nTC5auIykumi29qYXv6f9LSa0gbzcBJebN7xwuTTrC5pj+CnHLrqwCWpWmjvPtPotQWNt+QGLSJxN\nvjxLtCyGSmXKDJiy4nQncweE61aKjuQJtjluXLDdWqUlEws0pvfPKVqmM65PBYjXKM15CxcozDhc\nLvW7i3EWFSY19rHvdZOM5hfXMviTEwz+5MTc7XzwoVn7pqclHnm6lZGnc/sQB09c5NQf/3dm+8h7\nvpR3290PvUD3Qy/MOmc6I0+1MvJU7vsLisj4S+15W5DWOqIkUN7spXp7ETXb/NRs9+P05/+dUdS0\niHH4FLyVDqq2zM7uM94Tpef4OL0nJug5PkFsojB+z4VkXcMt1NRcv6L3fN/Xbv3mcHQAACAASURB\nVMRX7VzUNd//2FE6Dy3fs95f7aRhfynr9pZQvdWPw6csfBEg2yRkG6huGU957rSx4ZEEg20hBtuC\nHP1ud1YQ/hsVRZWo2uqjdmcxtTuKqNzky9tKbnNJ2FwzPC12Zy9ymobJcHuY/teC9L8WoOfEOPHA\n8i8mzKyDki9JM05X7EROS8tMInqAI4FHaXbvo9y2sDgK6eOcjx7KGdsyF1E9wKuBR2l07aRKbcmr\npouFhc7841xr37RgWwLCpChzzHm8M3YC5vECsTA5G3mZgDbIFs9NC3U7Q1AfJmHk7xoP0JdoQxZk\nGl27lmUh3bB0hpId1No3Ze1fC9YWuCpcMoSmCRKPVMyYPlWk0DvpPqZZKeJmOJM+eS0QM8MLCoL5\nEBGzMqQNaz0LBt6P6QMZ17pcCAhUTBNEQ3rXovrlEn2ogp2klZ/L1FLHYSlsfFNhMsxpMYMj31sb\nQb2rgahICLKEq6mM8tu3cuYvvrvaXVoygijw5j/bQsuNFdhcy/u4La5zUVznYud9aevfcHuIMz8b\noPWpgRWZQOVDefkOAMbHzzE4cIRkMoQ5TyHa1cJVurh6Ffng9KtseXMVm95URXnLwhbrpeAps+Mp\ns9NyUznX/XoTA6cDdB4eo+PgCBO90YUbeJ0gqxLrD5Sx5c5q1u0rRpQKV19rJqIkUrnJR+UmH3t+\nqR7TsOg9Ps7ZZ4dof2F42SyimpXkUOAR/HIlXqUYh+RFFZzIog0RGUFIT0QNUyNuhgjrE4xr/Uyk\nBhYdF5E0Y7wWeo6LcjFlagPFShWq6EQRVTQzRcqME9SHGU31MJ66vCKmupWiPXKY7tgpSm31+JVK\nPHIRsqCiiDYsyyJqBIgaAYLaCGOpnjVVO2Uo2YWOTolSjVcuwyY6JmvTWOhWiqQZy/R9XOtftGi5\nRHf8NMOpi1Tbm/EplZMJj2yYljl5nzhRY4LQIoTjdPoT7VnCRbNSjKR6LqutQnNVuEwSNqZy13ul\nkizhcsniElpj1hZIWzKWgkvyZWVICxgLB11ZmESMCfxy7gxabsmfJWwux1XLIXpJGvkJl6WOw+Ui\nyiItN1YUpK0Tj/SQDL8+LAyXg3drDev/5C6McILu/3yORP/q+SwvleJ1bnbeV8vGWysLZo1bLOUt\nXspbvNz8wRa6Do1x+rE+zr80vKoZ2iQpbVloP/cIhrE2xNRceEoKVwSvpNHNvnc0sOlNlQUtTJsv\niipRv7eE+r0l3PLBDUz0RDn3/DBnnxpktHN1Kl8vN9Vb/Wy7u4YNN1XOtpSsEKIkZMb99j/cTOcr\noxx+uJP+04V/rkX1AFE9QN+M16VPLcch+RiMtSMKEgJiQdIMh/Vxwvo4HUtuKTcpM0F/4hz9iaWn\nhH5u7L8XPqmAjCV7GUv2LnziEokbIS5Ejy5L2zPd4oaTXZdt3Ss0V4XLJCkrScKMYBfdWQH6kiDj\nEr0AhMy1V5grai7tIeiYEasSzzObV9wK4ye3cHGJ2T6p17nuXXTfFCH/Cd9Sx+FyabimBNVdmJ/R\nqUff2LVK4qfHSf7vPgw0ymkgLPeR0vPzp63x76Dc1cyxvsLV/bgcylu87P+1RlpuKkcQ10YsnCiJ\nNF1fRtP1ZYx2Rjj4Xxdof35oVQTM2OhZysq343SWEQ6v3e+7q2zpFhdvhZ0Dv9nM5juq1sx3AdJp\n2699oJFrH2ik9ecDPPa3pxa+aJIN6h56tfNsUvdzNP7E/PeRKrEJNob0KSvypYQx8y1kbVb305o8\nlHefZvLL/7iP+t1rq4ihKAmsP1DG+gNl/PAvjnPh4PIvINS4t1Dv3oEgiAzG2nEqflp813Fs5CfL\ne+M3EIIg0VB1ALvqJRDuZWB0btftfKku20NZ0QZOnPtWZp8i29H0bEXaVHMrHX3PLOleC1E1mRL5\nEqudAnk6V4XLNILGOHbRjXtagL5HLM74EIaMtSdcNGtpq5bSDHcvzcrPL15fYNVGEZb+4hcXyDY0\nnaWOw+Wy6bbCuIn1nw5kuXAU33wHoi09htr4CMGjh5DsduSiEpIDa3fCtxQkUSFlRDk3kh0oKosq\nRc4aNCNFMNGPZZk4FB9utZRAvA/NSNAXOEmpsyHrupnnALjUElxKEYZlEEmNoogq8VQAw9JRZSeC\nIJPQFl/np7zFyw3vbabx2tKFT15FShvd3PeJnYx0RHjpK+e58NLKprXs6PgpgiCyecs7GBo8Rijc\nh5aKYJq5V/JisZWPW/OUXr7FRRAF9vziOg781noUdW1koMzFaNfi3FQ0knilYmJmEJugUmvbiIKN\nPu08TtGLQ3ShCk6G9SmXEo9UhFP0MqL1UGtrIWZGCBnjlMv1OEQXQWOMqBmkwbaVlBW/7Pl89TY/\nN7y3mbpda0u0zOT+T+1i6GyIJz/TymDb8mS5BKhzb+PV4e9zTcUvARBJjeFYYpD75XJb5Xsz/9bM\nFDE9yFiyh754K7q5di2vC1FRvAXNiNPZ+TwbG95KKNpPND5Cqb8F3UgSjPRiWSaypOL31Gf22RQX\nYJFMRXDai0lpUXQjSf/IUUp8U6mOFdlBdeluIvFBxoKdgEWRt5HxYLaIcKhFeJyVxJMThGODOO3F\nyJJKMhXG7SxnPNSNtQhriYCQlXI5qgcI6Wtn/ntVuEwjZI5SQT02QcUuukmYETyTIsbCIryMmaku\nFyvPlMG5kMgOCs23sKTJ/AHkl1L1XSJ8GbVvUosQI0sdh8tBUkTWX7+4SsK5OP34bDESOPgsppai\n9M57EaQjePdchzYxRnKgD8Xnx7VpG6LdTmp4iHh3B7591yM5HIw/+wTePfsRbSqJ/h4SF7uytuPd\nHfj334ggSUTOnCQ5PDhHj1YHu+yhzN2EZVmMRjuRRIXtVW+lN3gKu+IhGLdwq6XUF+1hINTKpvLb\nOTUwewVx5jlnhn6OItlpKr6OnsAxmkqu59TAj3HZK3GrZQyGWqnz72EgfGZR/VXsEgd+s5k9v1S/\nplbVF6Ksyc39n9pFx8ERfvDxYyt2X9M0iMVHKSpuoab2ADV5XLMaWcVcJZe38OKttHPPx3dStXl2\n8oS1SMcrixWFAjbBQZIEKStJn3Yev1RGqVyNgUnImCBknKNF3cOQ3oNT8uHER2cybdUZ0nooldN/\ndVV0EjImqJTXEbFCDOpdxM0ILereRfVIdSnc/IEWtt9dW5A6WitBxUYvv/bZ/Zx6rI8X/uP8ssS/\nCIho5oyFyFVMLT4QP4du6SiiSpFSQZNnDzXOTZwKPEFYWzuT4sXgdVfTM5i2Do4HOvC5a0kkg4CA\n3eYlaP0/9s47vo3ryvffmUFvBAj2TjVKVLWKJUvuluMStyiOncSpm91NXspLsutk973dt2mbTd8k\nm03dOD1ucYl7lbu6RHVREin2AjYARG8z8/6AWCCwA6QoW19//BExuHPvRZnBPfec8zsqkqijdsHt\ndPUdGj7msFaiKDK9sXoKc1fQ6z5BYowikqKoRdLokZWRjeJEIsyC0qvwNjwEgEbSs6j8Otp79qLX\nWfGHXJQXXorX38ai8q30exvQSAZ63FP/bcvTlw+rxwF0ZiFcL5tcNFxGkZrnkps0XM6GjQVl36Re\nhkyQOD87c/I5BsjofJeJmfgX4tx+D4ZennJdlguFoqU5aE2Zf27xiMzp13rSjts3XYloMBBsqEeV\nZYInj2FanEyWiw968e7dQd61NxFqOo0SjeI7tB9jaQWCJKF1OOl9Jhk2pTFbUh7b121CDvqJe9zY\nN15Oz1OPZPwasoUgCAiIICT3XW2GIgaCbfQFRtRM8s3VdHqPMBhxYdaNvbt6bhu7oZhwYpCEEiGS\nCJBQYsTlKH2BJmoLb6DHfwqjNodgdOqbE9Ub89n6+WVYC7OXDzHXLLgsn1XvLuPIsx1zEjpWVb2V\n4uLRC1MVRZmait5cYs2f/me6YHMBN/3TiqyFjs42/p4IA83TTQweue8XaavQCgZCii9ptKsQUyPI\nyMNRCjqSSckCwpiJ4DE1goCABimZQK7GQZ36F3HB5gK2fn4ZllkQU5htBFFg1bvLWHx5Ic9/5xjN\n0zYiJyaUGMSqS3qABQQqbKvxn8dd89bgUcIJ3/B8Sk1LWWTbyEr7VvYPPEFMyazg8vlAFKThdY2C\njCCI2Cwl9HtHFvo2SwkeX3PKsakSjfkIRzx4/SMeTH/IlZJrkpBjxBMhHNYquvqTm1CCINHrOYnD\nVoV7sAm7rWLKYwoIVBlXDT+OKzFc0dnMZpo+F8Yddo7wy14UZEQkrGIuvbQN13Xxz3JiviRMTQ4z\n25ybqKcRdClS0OOhYeL8k3NDzrSiYV7of2eT8tXZ0Whv2t1HLJy+ePPufoNEMEDR7XcRPJ0uHWzf\neDm+Q/tQolGstauQzBZi7uT3NOFPDXca/VjQ65EHvaiyjHfPxLLFc0047qM3MOIGV5UEGil1UZJQ\n4mjOVnweKoh2Lue2CSgxQjEvIJBnruZU76tAUko0FPdQlrOagVDLlOYoaUWu+WxN1mr3nG+2/kMt\nS64q5OlvHp31WjD5+bUA9PUdpaN9F5GIZ14WmDTatEhaccoywuvurOLKTy6+oLxuTbtmtlAe8m4r\nqoJRNCOJEuo4xoZX7iGsBqjSL8cVb6VYW41ZyCGoSc1J7E10UKmtJaz6JvXmA2j0Ils/X0vtDSWT\ntp3vGHO0vOebl7DngWZ2/rYRVcnODsJp706WO69DJ5m4svTjhGUfR/tfzErfmaKi0hGqRycZqTSv\npty8kjP+fcPPl5qWscS2ibd678cgWVloWYdVl48ABBODHBh4CoByUy2LbBs54X2NnkhzyhiFhmpq\n7VfT6NtDe2jE2yAgUGxcQompBqPGlhYd8qrrt1N+HaGIG4sxj2h0EIshH1+oG0VJXVMpSjztN0xV\nZYSz9au02rHll0e1nvT5ky3PYjbksazqVg6dvv/sGMqozYKp35cWmtel1J9pDx/PiqBDNrlouIxi\nSC3LJuVhk5xnQ8aS0seDU0zMT99VmpoHwyhapjPVrBFWUlVljKKVkDK50oxBnLguQkhOXTjbpFz6\n3maGS1mWYqmb94xtFNsvuwqASHcnWnsu1lWXoM0rxNTXixKPYSyvAlVFslhQFRmtPRdBqyPmmlhh\nLXD8MI7NVxHzetLaVjjW0u45SGXuerp99eRZqvGFeyhzrKTNcwijxkZ/sJk8czWhuBeHqYxApI/B\niIsKx1raPJkpnDhM5Swruh6AM/078Ea6Kc6pZWnBtSAINPS9ictfz+L8q8k1VyCJOgzaHEpstZh0\ndhY4L6PDeyitjTfSjSCIWPUFCIKIWefgTP9OEkqMLt9x1pXdyZ7WP086P3Ounlu/upqS5ecnVny2\nqFjn5EM/28hf//Ug/dPehZ86Q3HWzU0vkUjMvzozwwhgdurwuSbfBb72c8tYc8eFZ8ROP0yM4ZCv\nIfoTHWN60s9Nrh9Kxj8THUleHqA7pe3J6J4pyfOanXpu//oaipZeGOF4U0KAjR+spqQ2h6e/cSQr\n8uXhxCAHeh7HoEkK8EQS/mnLH882HcETVJhXUWhYkGK4DOHUlbEk5zLc0W46gifQiQac+qkEmI7P\nQut6ys0rcEXO0BY8ikbUU2O7jEb/PtzTVAJzDRyhpvJm8nIWIwgCra7dACypeBcIAmc6XmUw0EVR\n3qrUY8EuaipuxGwswKBLfo8NejvFzpWY9A6qSy6ns6+OWDyEP+SiuuQKmrveRK+zUZK3erhNV98h\nBFFDeeEGEnKM8DQiBnJ1JSSUKDE1iiRoMEk5lBlrsGtGVFKDCS/tkfHrrZ0vLhou5zAou7FJeVhE\nB7ZR1eSnmpivogx7bWBqyliSoMEsnZ+FUFD2oaIkw3OAHCl/StLCVmlib4NPdiOrieHk/zypjL74\n7MsDzhSj3oFea8FmKsagtXG6c2LFHEkrUrI8Cz+cKrTsTf9uud9IH3/gtdQq8t3tLSmPgw0nUWU5\n7fxEMJDyOD7opfe5JxAkabj9EKIgsbTwWprd+4gmAohIBGL9BCIDBKMD5BqTCzSj1k5MDhFNBMgx\nljAYyTxPJhTzsKf1T2nH63u2IwoaFDW5EysDJ1wvpBxrGthF08CulPPObVPlWEd9z8v4o72U2leR\nYyxhINiCioo71Eri3HjwcyhaZue2r66+IMNSpoKtyMgHfrKR5751lMYds5O0396+kwUL3oXNVonb\nPb/ips/F4jRMbrgIXJBGSzwq034485zNbIb/TmVRXVSTw21fX/O2vQbL1+Ty/h9t4JEvHcDfl3no\nlIo6HJ41H4kpEcIJHyZNDnrRmFaPZUnOZo54X8Yb7R6nh+khChKlpmX44wPUe98YPl5juwy9aCKY\nmJ46aSwe4mjjI4iiJiXktbHjlbOCI8nv9KmW5862SR6T5RhHGh5GEMSUsK/mrjdp7nozZYxAqIdQ\nOLm5GY35xmzT2P4KoiAhnxU6ONnyzPC4AIFw+v18hfXqCYtyJtQEJwJvzhsJ5NHMvaj8PMevJL8g\nkiANV5SPq3FCytQv/tEXn1WcXGUoX1N+3nJcFGQ8iZEvdaGmYtI8F7uUj06Y2L2potA7qiBkvrYc\nszh/d8gkQYPZkI+iJAhG3YjixDZ9supy5p9ZT4OPkDc7O8/nGiEzaa+oMg19b1FgWYRJ58BiyENV\nFbQaEyadg7gSpci2DI2kI8dQgkY0oKoqZn0uZr0Tq358iexMGDI+Jjs2URtPuJOSnOUscG7GrLXj\nDXdSaF3MIucWmt3pu32jqVrv5K7/XP+2XTANoTVK3Pa1Nax97+SVsWdCj6uO5uaXWVJzG0tqbqO0\n7DIKC1eRn19L3jj/ny8sU1AW2/rF8ze/TGg74CYRnX8hehNRvTGfu3709r8GHeVm7v7xBuzFk4UQ\nTcxi+2aMmmQph9rca7mi5KMUmhZmY4pZJSYnIzE0Yvr11hdtzZrRAklBCFGQCIyR62OUZl4U9tw8\nveRjdcJjKuqUjYLJ2qmqPGy0ZIOoEuaIbzuBaRpyc8VFj8s5DI7yrAypn0w3v8Un9w+HfuVrS2iJ\nWdNCsobQC0YW6FfOcLbZwZVoIleTlPXViyYq9bU0R4+N2VZEYoF+9ZT6bY2fpFBXjXj2v+XGLRwO\nvzZproteMKIgz6nEcSDSh1ZrZjDQPmzATES28luynZCZKUOhXkP/1ruSnprm/l2oqIRinpRE29F/\n17teGqPH+YM33IU3nOpN7PE30ONvmPC8qvVObvvGJWh075B9HgGu/nQNAHWPtk7SeHpsuuxehCEv\nbN5y8qagHt3fNz2lt2xhmaSWy5a/WcSqd5fN0WyyS/Pu+XXfmYzKtU5u/erqd8w1aCs0ctePLuWR\nL+3H3Rac/IQxyDdWc2ZwD3Z9EQaNmbq+J1nuvI6e0JnJT55DhLNlD8byuAVi2c0tjimRpJy+ZBvj\nufAYZ7x98cS7sUgOtKIBURBJKHFCyiAD0Q46I6dJnKcSE1PhouFyDlElRFQNox/lUZhu4cnuRAuF\n2iogudBfbbySk9H9eBMjylESEnnaMhboVqETjCnhWnNNb7ydMu0ANskJQKVuOSJa2mMnUhL1bZKT\nhfo12CTnlOYbUQI0Rg+y5Ky8pUm0st50A53xU/TFuwgpQ2FqAjpBj1G0Uamrxa4p4FBoe4oRORd4\n/C0A+MOThz1lK8eh/dD0ZaLPB+o5O0Vj/T0RS5Zq+d6P7XznGz52vjWPcxvOoXLdO8xoGcXVn64B\nFeoey57xEgzObd2YTLA4x/e4rL61nI33LBj3+fnOTPJbzhdlqx3c9u9r3nHXoCVPz7Zvr+X+T++d\nmVdeVVBUmSLTEjr8xwjGPWimUdR5rtBJyXzZ+BiGQ5qcc4bIapyu8OlhRbOBaBtawYCsJugMz79c\njtnkqO/V8z2FGXPRcBkDX2KAfO3ITtp0F9DeRA99iQ7yNck+DKKFNcariasxokoYSZDQi8bhPJiw\nEqA1doKlhkuz9yKmycnIXtaYrkV3tnBkuW4JZbpFRJQQCjI6wTicrxNVQjTHjk1pvl2xRnSCnird\nCiCZ81OlW0mVLullGp0PdD6Zbo6Lc0F2xBR6To2EIBYVS3z442bWrteSVyARDqn09crU7Ytz/x+C\neDwzD+245yNmnnsmjHvg/IaHSBfQHad0pZ3b/31ujJZETMHnCuHtijDYFSLijxOPyMQjMnJCQWfQ\noDGIaA0SpSsd2EtMWJz6Wa9bcfVnalBkhUNPtE/eeAocOfz7rPQzF1jHCUkqX5PLNZ9bOsezyR69\nDX4C/RfG5kFxrZ33fHPtrBfyVBUVT0cQnyuCvy9CoD9KPCKTiCmosoqkl9DqBUwOPdZ8A7ZCA7mV\n5qyEC0+ErdDI7f++hr/8475ph/ZF1TCllloc+hJOe3cgCOJ52xwdD4NkxShZCSV8WTdSpHGMtEb/\nXvSiiXJTLWXGpcTUKHXupwnE5/8mon5RJY47b8D1nf+Zlmy4ttBJ3qfvQTQbUQIhur/6k1mc5exz\nAS0j5g6/4iafpNGRLDw5/Z3/k5G9CAZhONwMkot2rZR6MfllNyciu8671kdI8XEk/Bq1hs2YxGSs\np4CYpnYWkAc5Edk5LXm8luhxArKXhfo1af2NZbREldC0ik9mg7FyXMYLF9ObNRlV1h7NkAxyYZHE\nfX/KRVFg+4sR+noUcuwii5dpuPEWA7/+xcyVnsxmgb/9XxZ27oieN8Pl9Mk4t99w4ezyWvMN3PqV\n2dvllRMK7XVu2g556DjioefU4LRlUPVWLWUrHZSvdlCx3kle1ewoE17z2aUMdodp3ju7kvDzDfMY\nhoutyMAt/7YaUcqOxRjyxOhp8OHrDuPrjeDvC+PriZCIKsQjMqIkoNGKaI0S5lw95lw9OcVGHGUm\nnJWWGdUQulC8LZa8pHqY1ph940CRVTqPeWja1U/3CS99jX7i0enlCAqiQF6VhaJlOSzYlE/l+txZ\nMWSKl+Vww5dX8My/H5lWraUG707KLSs55X0LRZWx6fLpDzdPfuIcUmVJ1gvpicwsfC1+dh0yJH0/\nGrN27KiIHF0hTkP5mBLKmSIa9NhuvRbzxlUowRCx1i48DzyDEs5ejRpVUaZltADEewbo/sp/YVq/\ngpxbrsnaXM4XFw2XMfCNymkJKf4ZFZ6U1TjHwm/h0BRRpKk6K69sRBCScZZBZZC+RDs98bbhcCkZ\n+bwl6QMEZC/7gy9QpKumQCrHJNnQCDoSapSg7Kc30UpPvGVYSWY670t/opOBRBd52jKcUjFWyYlO\nMKARtCiqQlyNDHueBuW+OZdtnE6OS25l9heIN91qwGoT+dsPuzl9MvV91ekEYrGZvx/rNuouKE/H\n+UbSidz2tTWYHNkPq+ht9HP8+U7qX3FlXDMl6o9zZmcvZ3Ymw68KFtmofVcJy7YWY8zJXl0oQRS4\n+V9W8efP7MbbkZmkuU43/WsnFps9eeaJsDhTF0OiRuSWf12d0XsbdMdo2tVLy/4Bek4N4uvJbEFj\ntOsoWmKjZIWdikucFNbYJjWqmnbPfwNU0orc+tXsX4P9zQEOP9nOye0uosHMalOoikpfk5++Jj9H\nn+lAq5dYfFUha7dVUrB45oneY1FzdRHd9T7qHmmZ8jm+aC/Ho9tHHsf68MXmh9EqCRqqLGsoNi4h\nnPDTEZxZHlv4bNkFp76cztDJ4eMGyUKhYWwhAoeuBAGBkOwftzDqTLHfeQOaPAe93/s1Um4O+srS\nrBot0cZWer7766z1d6Hyjl7O7Aw8MeZxr9zHa/6Hxj0vogQnfH40noQLTyKZM6GvrsCwaAHhk6eR\nfQHksA9dWTHyoB/ZH2Cn8AKCVpssYhYEyWpBk2sn2t4FioL18o2EDh/nNf9DCHodutISYu0jP0Ia\nZy6SyUC0oxvJbMJ61WbCR+uJtk1dhlhBpivWSBeNk7Z9K/DYlPuFpPeqL95OXzzzsJOoGpnyZzBV\nAuEetBojgUh6FfvROKvMWR0XwGRM7uy3taYbTOcaLZIGbny3ka036KleoMWWIzLQL7PjjSi//GmA\ncCjZ/pOfs3DlVXpKy5OX+e8fdKb0c81lPciJyfv80fdGhCXu/T82Fi3W8K2v+/jcP1hYtUZHJKJy\n/Ficn/4oQEdb6vy//K82brl9JF/s378yyIvPpt/I7XaRj/29hcu26HDmiQSDKu2tCZ57OsIzTyRj\nnxfXaPnl73L51MfdfOM7Oeh0At/8qo//9w0boYDC1//VR/2JzAtlbf1CLYU16cmbmdDfEmDHfY3D\nRsZs0Nvoo7fRx87fNrL2vRWsv6sKnTk7t3i9RcPtX1/DA5/dSyw080r36zd8btrn7NzxrRmPlwnn\nJudf/onFFC2bvjJiIiZT/1I3x57rovukd1q75pMR9sZo3ttP895+dtCIzqShakMei7bkU70xH70l\n9fMPeWP0nBrM3gRmias/XUPxDN7r8eg57ePN/zlNW13mEtDjEY/KnHixixMvdlG51slVn6nJqhf0\n8k8somVfP+7WqRvyeo0Fu64AVYXBeC/RxPnZBACoNK9EUWX0opkcXRFaUUcoMcgR7/YZJ4IPxnoY\njPXi1JdxSe5NeGM96CUjefoqgnE3dn1R2jmucAMlxiWsd946fCyUGKQrfIr24PEZvz4AXVUp/hd3\nEO8ZIN4zQKQ+teK89dpNmK/YgGQyEO/oxvvXl4m1J9eHutIicj/+HgZ+9RCO99+CtqII2Rei78e/\nQxAl8r/wEUSzETUu0/V/fpDSr76qBOuNV6GrKAJRItHZg/exl4h1Tr9MQfEda3E9dQhVVjBV52Fd\nXESotR9BFNEX5RDu9GAscyCZDcTdAYLNfWjMBvT5ViSjlnCHG8lqxLu/GceGajz7su/lE9TxSt7O\nMaWlmRUVuhDIufE6/K+9hRJJxnLab74O77PbMa5YhuL3Y6ytwfv8K1g2riVy6gwJT6oU3ZDhIvuT\nNx/L5g1E6htIeLxYr9pMqO7I8HMA9puuw/vcdi4yORZjAWZ9LlqNCa3GVasSlQAAIABJREFUQEvP\nrnGrQb/3O+uoXO8c87np8p/XJSsZCwJ890d2Nm7Wc+J4nMcfDvHaK1Gikalfnj/8uYPKSoltN6fu\nqL7vAyY+9w9WPvr+AZrPTG/R+cOfO/ji/xqJ/b33/9i4bZuRvzwY4ic/GDFohsb43N97OHww/Ufo\nknU6fvwLx5iGi14v8OKbBfzxN8EJQ+IW12i570+5/Pj7fh59KMS29xn5wpdtXLmhh4//nZn3f8jM\nDVdlZhiY7Ho+9ehVGfUxmp5TPv786d1Z628mLL6ikK1frM2aF+a5/zhK/faZSZTmOpeM+5woSGg0\nRqzWYpx5ywCB+vqHGfRmJg7wiT9eTk7JxAVzx+MPf7sTX0+Ej963GWvB1MKyFFnh8JMd7Pz9GaL+\n819xWm/VsvxdJay8uZRdf2ji9OuZ11yaLUx2PR///ZY0g2smtNUN8Px3jp33fJ6imhxu+coqbIWZ\nyRsPsfO3jez+U9Ok7S4rej9HBp4nGE+uI8xaO6ucN7LL9WBW5nEhssZxI2atg919j6SEuwuIbC64\nm3BikDr3szPuX7LbcH5sG7HOHkK7DhLrGLnWiv7vp/A9/wahuhHvUsl/fJHBv24nuPcIutIiCu79\nG/p+dj/RhpYx+zcsX0zuh25LM1zORV9dRt5n76Hz3u+mhJUNhYpNlOPi2FCNzmFGsuqJdvuQzDqC\nTX0Yiu34j3UQ84Yo2Lo8GbIGSMazXlFVxfXsEYpuXkXP80dZdO9NnPnhCyjxkRDMzs7OCec9Vd7R\nHpe5Jrivjpybt5IY8BA+dpJIYwu2ay9HtFgYfG47xtqacWMXtUX56CrLQRQJ7DmAJseGrqocUa8l\nsPMAkVONWK/egjzoI7Bjb7JGhyhi3riW4J7Mqpm/EwiEezHrnei1VgZ8Z8Y1WgByK7LjcYkGRowI\nVYV//gcvt28zcveHzPzL13L4wpdVnnw0zB9+EyAYnNyAaWpIsG59dkMrmhoSSBKcW/Ll6cdSFWBO\nnki+lqJikcMHpzdGNKrS1prg3bcbaWiI89Zr0bTxRtPRnnyyt3ckX8frUTCaBEQRlAzSeK75bM3M\nTz6Hhjd6efZbR7LW34zn8WYPfY0+3vvddTNewI/mms8upfWAe0ZKR+6ByYtOulzQ1vYmy1d8kJqa\n97B3z49mMs2skFNs4pJtFVM2WtxtAZ7++lH6m8eWvz8fRP1x6h5tpe7R1qQ3fx5zzWdqsmK0HH6q\nnVf+6+S088ZmA9epQR743F7e9/115FZk7oHZ8IFqjj7bSdA98fWnIA8bLQDBuBf1nIKh+spSHB/e\nRtzVh6jXMfj4C8S6Jo44OF8Yli1GV16M78U3Jm88DjZdPoOxnrQcXRUFVVXGTeifKrLXR++Pfofz\nY9so+OLHCO4/iufBZxEkEU2+g9wP30Huh+9IOUdypHr34zN4/yWrGev1mzEsrgKDAUEAQZRAFECe\n3jXg2dec3Ek9uwYSRAFVUQmeGdkU7H15fM+U69kjGErs+A61pRgt2eSi4TKHJAY8eB57ZrhieWLA\nTaSxeXilNeQdCew+kHZu3NXHwJ8fGXnc24/7/pFQLcXVi/fpF5NfuKH+nnkJQXP+FbsuFAb8TQyG\nuiZuJIDZmZ0CaN7O1HwBWYbH/hLm8UfCrFmrY9v7THzgIyY2Xa7j7z7sTgkZW7pMy+13Glm2XEtu\nrojBKKDXZ7YoGa/Pn/1X+iKsqzv1hhQ/OzetbmZz+LcvD/LPX7HxjW/bGehXeO7pMI8+FGKgP90K\niYSTYymjpjC0PhFEmGkx7+qN+dRckx5aMBOOPtPByz+qnxcLJwBvd5gHPrePbd9em3H8vcGm5Zr/\nvZRnvn44S7NLJxr10dryKjVLt83aGFPh9m+smXLbY8938up/nZx2kvdcMl++j2NRtd5JzbWZX3+7\n/3iGnb+bX7VKggNRHv7iAe7+8XocZZltfGkNEps+soDtP5pYvtcVPE2xuYbe0BkEQaTQtAhXKL1m\nVeTkGbyPPIu+uhzrDVcy8Nu/ZDS/+UxCiWHS2BAFKaWoY4GhGr1kYiCWHfXEgd89hq6siPwvfITw\noXqijW0A9P/qIaKNqR5k9ZydNjUx/fuH8+PvRYlE6fvlg8heP/rqMvL/90dm/gJGbdzO5J6hxmV6\nXsos7G4iLhouU0DUa1j7w/fR8JNXGazP3M2eUrE8k+3htI7VNI/NTC6CtzuOwhoWr3kfbae342re\nBYBJ76A8fz3+UHK3o8s99k65MUeXNUWhcw2XIVQVDh6IcfBAjPfcaeSL/2Rj6w0Gnn0q6eXYtFnP\nt35g5/SppExya7OM36fwoY+ZueWOmYUjTNTnWEwnhG0qNDcn+OTH3Kxdr+OWO4zcfY+JO+828dX/\nO5hW92U2gltFjch1n8+OxO2p11y89MMTWc1lyAYhb5RH/ukAH/zJpdhLM/O81FxVyMnNBbOaszM4\n2DJrfWebt37dwN4H5pdi04WERi9y3Rdqs9LXfDNahgh5ozzxb4f52G82Z9zXypvLOPBI64RiGcXm\nGoyaHJY6rhw+JqsJqm3rhx/vZCQsKt43gGgygiCQe88dCFoNg09vJ9HnxvmJu4m3dyE5HcSa25EH\nA5g2rEJNJNA4cvC98AbRM63Yt92IaDSMnNvvwXH3LeiXLiRyvAHvX55J6yu45xCO99+KIGkQrSYG\nH3seKd+J6ZLlqPE4kj2Hwb++AICuqgzHB28ntPcw2pJClECQUN0xBEki79Mfou8nE8utd4SOs9C6\ngXW5t9AbaSGhxtCJeqoslxCVg7QEsrcZE+twIfuCSFYLajxBot+DrqSQSH12v5+CVoOuupS+XySN\nFgBNfm5Wx5gu0b7Z9Ti/Yw0XQRLZ/MAnUFVIeMN4j3XS9pc6Iq70xMWhZaoyTZfbfGXx2vfhyK/h\n8Js/JRpK1S7XmxysvuIzePpO0VCX2c5LblEtjoIlnDny14z6mQtUVNyBVvq8E4eymB3Z8bYAeLom\nV2h647UoX/wnKCkd8Zzd9UEj8YTKFz/jITQqhMxgHNugmspCf7p9zhZ1+2PU7Y9RVCTxw5/Z+fyX\nrHNSsHLFjaVZiUF31Q/ywnePzTujZYjIYIzH/+9BPvDfl2KwZpbzcsXfLaJpd9+s7eLL8sxFAOaS\nl//zBEeemboAykXSWXVLOTnFmV9/810xbTqJ9RMhSgJbPrqIZ745fihqXe+Tk/YjlCdzNQWNBvOG\n1UTPtGJYvgT3nx5Hk2sn5/brGfjtX9A4HQw+8SKJ/uR6wbBsMQgCnvufQFtUgHXrFgSDHjUUxv3o\nc8PnDj7+IqLJSGjHAeK9yc/m3L4APA8k52pcuRTDihriPf2osoznwafQlRVhuXYz4YMnUKIxPPc/\nQe6H3oP30eew33ULobpj6BZVEjl6atLX2xY8RkyJUGKsodKyElHQICsJWgKH6Qgdz6iWjCBJ2G7Y\nQuRUC0owhGntciSTiWhD0tvie2EH9m1bibn6iDW3I5qMGJZUEzxwDDU6c4VJNZ5A9gcxLKokdqYN\nbUkB1q2ZG8fzmXes4TJE3ecfxlhso/TWVaz59h0c/drTBJtT67bI0QT7P/3AeZrhhYujYAk6fXZl\nIWcLRYljMeRjKSoAoNn11pjtzLnZyyHx944kqesNwphejHWXJsfraB9ZxEkagVBQTTEwcuzicNtz\nGRxMevWcedK4yfnT7TObjAqnHcblkjl6OMG178qeoTgeklZk4z3VGfcT8cd54iuHpl0obq7xdAR5\n9ptH2fbttRn1k1thYel1RdS/NLNE/ckwGh2z0m+2uWi0ZIakE1l/V1XG/QTdMV743rHMJzTLNO/p\np3pjXsb9LL6qAPMv9AQHxl5sl1pr6QqenlBJTA8Yli5EvOcO4u1d+F9+C8sVlxIBEm4vmtxkLRQ1\nFk8xNAASPUlpZSUSQdDr0ObnEj97bOjcxKAPVVbQlhUR2HVgzL5Eg56cbTeihsKINityX3L9pXiS\nm8iJfg8aR07KmIJehxKOoITDiGYTxmWL8G/fMaX3zRVuxBWeXDV1uqioaIoLyN20BkEUiXX00P/L\n+4dFlkL7jyLqtNhvvw7JmYMSihBr6iC4/+ikfdu3XY/xktqkN0uSKP32l1AiETwPP0fkRCOeB57G\nvu1dWK7ZSMLVh+fBZ8j79AeGz3d84N0Yli9GNOoRRInir3wO95+fTAtbu1B4xxsuEdcgEdcg3sMd\nrPjqLSz+5JUc+ufHz/e0LngEQSTHWU04ML93wIaIxoM0u5I3PkkcfyfalEXDJTw4kiD4vR/bEQQ4\nfjROf6+CpIXFi7Vcc72extNxXn155Mdp3+4Yl6zT8fl7rezeGaOgUOT995jwDCg4HOkFE48cjBOJ\nqHzuHyw8/GeRaEzFZhN57OHQlPqcKRpN0lgyWwSqFyQ9RmVlGopLJNxuZdhQW7Zcy5f/xcbOt6J0\ndsgk4ipLlmm5/iYDL7+QPQ388VhxY+mUk68n4tWfnhx3ETHfaNnXz7HnOllxU2Zqjps/spBTr7iy\n7o0WRYnKyquz2udscPip7MTEv5NZeXMZljGKfU6XF793jLB3bgsXz4RX/quej/1+C5Ims+K2oiSy\n8qbScRXGtIKB9QV34I/10x08RX+4NS05H0ZyXIaI95z1jOTaSbi9ae2HOcfTGu/pR19ZmnquqiJo\nNQz8enwlM0PtYuR+N74X38S8eS2anGSyuuRMblxo8hwj8zhnzPC+IxhXLwVJQvYHx5/rXCArDNz3\nyIRNAjvrCOwcWywp1umi44v/MeZz3sdewvvYS+P2G6lvwvXNX6Qc67z3u8N/ex54ZsJ5ARRXb8bV\nspuiqo34Bpqx2ssI+npQUTCZC5DlGEG/i5zcKoJ+F3qDHUmjJxzow2QtoKf9AOacYozmfAKDndjs\nFUg6A/GIn/7u7G4ovOMNlyFURaXr6aMsvfd6TGUOQh3JHYFNv/0IkkkPAtR/50XcB9It1OKbllN8\nw3IMBVYG6100/WYH4c6RCz5/y0LK33sJhqIcIn0BerafpOvpI8MhFsbiHMrvXEfO8mK0NgNRd5Ce\n7afoePzgmGPI4RiBFve0x8kEi72E/JI1WBzl6Iw5CAhEQm6O7fp1ynZ5Qfla8krXYLLkI0parLlm\nLr3hX1P62vfif6CqIzfQwor1VC67kbpXvs+i1e/FnFMCCERCAzQdfSLN+LE5KilesAWzvRRRlIgG\n3fR1H6GnZW9KvwBFVRspKFuL3mgnFvXT13GIUCA9Ll+vHcnlKLAvpb0vXSABwOLMfIE7RHhUAcJX\nX4pww7uN3HqHEZNZJJFQ6eqUeeAPIR74Y5BodOQ9fvBPQaxWka036rltmxFXl8xD94doaZL57/9J\n36Xuccn82z8N8rf/y8zn77WiqsmcktGGy0R9zpQ1a/X8509Tqxd/7O/MfOzvzPzsx34e/FNyfFe3\nTFurzA03G8jNlYjHVbq7Ze77eYCHH8is4OFkiJLApR/M3NvSvLd/1jwPs8XrPz9F5QYn1ryZf6dz\nSkzU3lDCsWenJnNZWTm51LRWa8GWU4HBMHbl6/lC13Evr/7k5OQNs4Rz5Wby115NyNVG2wt/Zvrx\niAL2JWvIWbQSvaMQSWdEleMkwkEi7m5cO54lEZn7xd+G91dl3EfTrj6a914Ym2SDrjAnXuxi5c1l\nGfe18tYy9tzfPOZv/GnvThoH95BvrKTEvJTF9stwhRroDp4inPCN22ekvpHcD21D0EoMPj31cgqR\n+kYMSxemnCvZLIBK7kfvRO7tZ/C519LOizV3YN6yDrvdBgkZ9WzBRtFixvHB25GsFgYffx7JmZ63\nEW1ux3zlRkL7z79644VOwNNOYcUGAp52nEXLCfl7MecUI8cjKEocORFBo9ETiwawOioQBYnOprco\nqtw40omqotEaUBIxBFFESUQRpexHbVw0XEYRaEre+MwVucOGy+6P/wFJr2XTHz825jk5tcVUf3gT\nJ3/wMqEOD/mXLyLmHlls2deUsejvr6Dxf94icKYPY4mdRZ+6AlEj0v5Y0jCRw3FiniCnf7ydqCdM\nzrIiFn7qSoIt/XgOtqeNocsxkrOydNrjZEJR1WZynAsYHGjC29eAIAg4CpZSuvAKOhtH5AkjQTf9\nHQdBEKiqvZlIcABXS2odi/Gkhu35i5HlGD1t+9BqTeTkLyQWSU3ychavYOHK24mE3PR3HkKRE1hz\nK6hYshWrvYyGg48y+ge9ouZ6woF+ult2odWaKKrcQCya7jrPzxmRwbUax1e2MWexkvNow+XxR5Jq\nYlMhkYCf/8TPz3+SngB35YaxpRR374yye+f43oCJ+hzN97/l4/vfSv/RO1kfTxt7/97ouPMZjXtA\n4d/+eYKdvbM0nEodY+dbI/0/8WiYJx6d2vs3mgWb8jP2tqiKyms/mzy+er4RDSbY+ZtGbvjyioz6\nufTu6ikbLqVl04u99vnmp0cjEVN44XvHJ/Q0LXjPp9DnFhJ2tdLyzO8yHtNWVYug0WIuW4ik1yNH\np+eNLL78Vuw1l6QcE0QdWq0OSW9Ajk7/+skG1vzMrj9FVnj9F5PLbM8n9j3UwoobSzOWp7bmGViw\nKX9ckQxFlekJNeGOdFJmWU6pZTlllhV4Ih2c9u4k2tpJtPWca1dVcf8ptbh074/uS3kcqW8gUp9U\nKJO9PgbuSxaD9j72fEo727uuJPDaHqJNbeR/+kNj9pXweNOS6g0raog1taVIH8d7B4bHHBoPUUTU\n64jUZz/0652G39tByYItuFr3ojPkoNEaCHg70OqtGM1Ogv4ecvIWIMciqKqKrIxEjJishZhtRQii\nSCIWwuqoANQJy0pkwkXDZRRyOPlBSMbUUKGJ3nzRoAVVJeYNEenx0f5oqhuw4s61dL9wnL63khdW\nuHsQ10t5FF6/bNigiHlDtPxpz/A5EdcgJTetwLIgH8/B9rQxIj0+fKd7pj1OJrTWP4eciKHII1/W\nzjNvsXLLJ1MMF5+7BZ+7BVHUUFV7M/FogN6OqY1fVXsz+1/+zqgjAqONEK3ORFXtzfg9rZzcf3+K\nd2XhqjtwFq/AUbAET29yEak32okE+zm++77heXeeeZPlmz+RNnZH/8jnZtaPX1wy04Tm0YR95784\n3Tud5TdmXvi2/uVuPO3nOUxhhpx4qTtjw8VeZqJstYOOw55J28ZikycnK0qcSMSL291Ab8+hjOY2\nW+z4TeOcf+a+lhPocwsIdDRO22jROwqHjZawq5We/duJDw4gSBo0JiuSzpDmrb5QOPVqD56OC+v6\n83aEaD/kpmJt5oWMF10+vrqfVZdHqbmWXH0p3eEG9vU8iqwmKLeuZIVzKwd6n8h4/ImIHDuN9aYr\nsVy+nsDre7Pat2ntCkzrVxHcVZddddZ3LCqn6pIhfQOu4wiCiKoqlC64HG9/I478xXQ170xLSnW1\n7knpJTjomvV7yUXDZRQaSzLONh6Yepy692A7Pa+eYtU3bydwpo9jX3sGJTaSAG0uz8W6pJDSO9Lr\nAQgaETWhIBm0lN6yktx1lejzLSAJSCY9Yl3rmGP0vnKK3jcbpz3Ouay+4jNTfp3xaPoPg5yIojNY\nx86ungHunnPDLlL7zC2qRdLocLXtS7swBrqP4yxegT1/0bDh4ihYQm97XYqxFYv66e86SnHVZePO\nIxIf340uGbJTF0dVVCIXDZfzismhzzhJVlVUdv9x8irW85VsKYKtenfZlAyX/fvGr9h8oTDYHebg\nY3Of1DpwdCcDR3fO6FxzcdXw3907nibqHQmrigfHv9/NNvYsKIkdeOTCTDCuf7k7K4bLgk35Yx5f\nW3A7WlFHe+AYDd6dyOrIeqF58AAlxcsyHnsyYl0uBu57eNrnRY6dInJsYi92qO4YumN9FGlLGNDm\nEVVCROUQNm0eUTlIVAmjF42IghZBEAglksn+RsmGVtThjw+gomLV5uKPu9GLRiRRh6wmiMpBdKKB\nCtNK+qItDMaTogAWjQMFZbivtzNDa6zult3oTQ66hyJnJlnrzcUGyEXDZRS2JUlFqWDLwCQtR1BV\nlTO/3kHHXw9TcPUSLvn+ezn6b08S84YRBAHBoKXtoQP0vpZ+EQ4ZE0s+ezXGUjtnfvUm/qZ+lGiC\nNd/ZNu4Y5e9bR+ntq6c9zrm4e+qR46k7d5LWQG5h+g1NlLTkl67GnrcIg9mJpDUgSlpAQEBAzYL+\na8g/cY0ck60YgMVr3jduG61+JFfFaM5jwJVeBCns70s7NtUcF402s4TKIeJhZV4Xg3snUHt9ccY1\neZr39OOdgqz1fCY4EM24qOqiKwrRW08S9b/9jfFdfzhzwUnja4xnK7YrClHv1H/fZpvaG0oyOr/z\nqJfehvNneGVC41u9XP+PCqKU2W+KMWfsKIBW30EGIm3jjz+4K6Nx5wN5ugrOBA4Miw6UGGuIKkEK\n9FW0ho5SalpGIO4mV19Co38/Vm0uVk0e/kTSaCkyLEBVVaJikFLTMvzxfhy6EpoCdQiChFbUoZDM\n88zVl2AScwjIHkK8/Q2XIRQlQTiQvmY6n8wrw+W+J0vIK0xOqbM1zqfvyk6y638/VEx5VfLi7u9J\n8Inb0quji3oNpbevwXeim0jP9G+E0f4A7Y/UUbR1GflXLKbzqSOoqkqoZQBTmYPowPiubMeacpr/\nvGe4uKWolTAUpssID43R9dRR1v74rmmPcy7tp18Zs47LuYaLRmtg2aUfxWjJx9t3GlfrHmJRP0o8\nRs2Ge6Y83mQkYhMvADXaZCy0q3U38ejYbaPhUTKLGh2ynK4yM9axqea4aLTZqWsij2NMXmTuWHZ9\nZosmgKNTzO0YzeUfrqLjmJdVNxbzyq+aCAxEKa6x4e+LEnAnvb2X3lnOiVd6x31stuuIhhLoTRou\n+2AF9a/10XliEJ1Boniplc5637As8+i+LU49WoOIKAkMtCWvoWMvdLExQ4ECjU6kdmsxBx8ff6H0\ndsDTEaT+5QtLhAFA1CR/V5PFj+eJ0SVA7bsyuwZPbr/wPoshosEErpM+SpbPjgjFWEaLRZdLIOYG\noCc0Pwt1TgcFGUnQkFCTv+lGyUJX+BQiGkxSDiDQG21BI+rRiDqsmjx6ImeIKsl8LovGSVQJIiQk\nQKA/2oFG0KOXTAQTXqJKBH88+X55Yz2YjXZyNPl4Y5kXIp9tKu6+lPxrlyLpNQwe6+TMz18jEbww\nVC8nY14ZLq5OedhwKSjWIIrZCV105o+E9/R2paokGUvtmCtzKbt9DVq7gZM/eDntfOHsjogwxu6s\nc1M1GpOOQHM/ciiOxqIn7BoxfNr+UsfSL11PeaeHgT3NCKKAqcyBIIn0vpFMNIv0+rCvKsO9uwXR\nqKXy7nUIGmncMSwL8mY0zkwprNiA0ZKPq3U3bSfT35+5Qk4kLzqP6xR+7+RJu0oijlabHoogiunh\nXlPNcRF12fG4yPGLhsv5xJpvIH+BJaM+Av1RmnbPbCcq4peJhWRUWWXtrSX4+qPUXlvAzvtbU2Sy\nx6Pmyjya9rpRZBWDRYscS36fFEVlwYZcBl0RvK5IWt/r31NKT2OABRtyefnnjUQDCY4/28HGD1SP\nVNqdIYuvLEwxXIqL12XW4Vm6u8f2fp4PDj/VOWeeUkvZIspvSN8YSgT9NDz4n5OeX3TZzRicRRjz\nSkBK3vMErZZln/hKWtv2F/5MoGP8BGdrRQ05i9dgLChDlCSinl4GzxzFe/oQqjIz5cGipfaMir4q\nssrpNycX/5AsBvI/dB2uX4xIwtqvuwTLusV0fHfqYUy2LctR4zL+vZMryU21//ZD7lkzXMZiiX0L\ndb1Pzdl4s013uJGFlvWEZR990TY8cReVplXoJCNNgQM49eUp7QdiHVSYVxKRg3SE6umPtePQFhOT\nw4BKuWkZJk0OPdGkUSciUmJcQlf4NBaNA1VVMWjmf20627JiSreNCHHkbqgi1LqS9r/sP4+zyh7z\nynDpbo+zYm0yZEGrE8jN19Dfk1n1ZINJxGQeWWy6ulL7u+T77yU6EMRzsJ3Oxw8RdY94LCrfv57S\nW1Yh6JI3/aX3Xo8qq4Q7PBz80qMAqHGFkptWYCiwImhEWu7fi3tfy3Af7v0t1H/nBSreewnl71mD\nmlAIdw3S/sRI0mnDT19n4d9fwbqfvp/YYJjOp44Q9YwovJw7RqTXT+sD0x9nphgtyRhatyv1hi0I\n4y/ih0PHhOxVXg/5uqFkFdbcyikZLuFQPwZrAfSn5iAYzBPnNQSj44dSaHTZyXFRzrPHRZQEvvDi\n9ed1DuPxh7/dSX9zdipMj0flhsxjyxve7JnxIjav2szuh9sIemM4io3UPdWFViviLDPRMTh5GMKQ\nGpGvL0rIG8XVmFSDS8QU/P0ju2rn9i2KcPL1Xow2DUaLhmgggbc7TPfJQYqX5czotQxRstyO3qwl\nGkwaXtUL3pVRf0PMF8NFkRXqX0731s8WiXCAUFczot6IxmBCY7DANMKKTEUV6Ky5qIqCIAggJs9V\n4+mGsTrODqGo0VJy1TasVUtTjhuLKjEWVWKvWUv7iw+QCE//eq1en9k12HnUM6W6LZa1i9HkWNCX\n5xNtT240eLcfxLxqQUo70ajHtKwcORwlcroTVVbQFdiRQxHkwFmJXoMWy9pFxLoGiLmS3n1dgR1d\neT7hU+3D7cbqfyy6jk2upjgVBFFAVVSsuonfU52YeU4RQNkKO8VLkwv4fY9kR/lv9fffh6k8VfL4\n8Jf+QqjNPe45YdnHKf9OBERUFMKyDw/dw6FjTYHkvaMrPBJC3+DfOxze7o25GIz1DK9X2kMnUsLe\nGwP7EM+uc3zxfoIJb0qu0HzFUJR+Lx/r2IXKvDJcXB2pOzdFpVLGhstobwtAb3dyDFVW2HHX/0x4\nbuuD+2l9cGIL1X2gdczaLqPx1LXhqRs/hMJ/po9D//TYuM9PZYypjDNTYtGkZ0dnsKUcL64eX9pU\nVWTisQBGsxNR1KAomV/s/d3HKF10NUVVGxnoPkY0nHrT1+rNyPE1NBezAAAgAElEQVTo8Fie3lMs\nXXcP/R2HSJzN5dFoDeQVr0zr22zII5ZIGq35OUvoGjg85hwyLRo2xEWPy/mlan3mlaub98y8bkTj\nrgEigeQCsvmghy0fqsTs0PHqr5rIrzZTttyGKELdk13kFBtSHm++pwJHqZEzu5MGtqgRWXtLCXVP\nd+GsMFG+IgedUcOBJzrT+l6yxTlmbmXz7r6MDRdREqhYl0vDG5Pvgl+InNnZP6cFDiMDLlqf+8Pw\n4+LLb0uTM56IpsdHCtIVbthK7qotqPE4J/8wdpG7sSi56o6k0aIouE/sxddyAlWWsVbUkLfqcgx5\nJZRfdzctz/x22km5lRkaLu0Hx1/Qjsa0sor+v7yOZcOSYcPlXES9lpLP3ob3lUPonDbCSgf68nwc\nN25ANOhw/SpZoNGyfgme5/ZR8JGtdP3kSbR5Nhw3bsC34ziFH78R16+eRYlO/TvS35KdDZq8Kgt9\nTX7W5d9BVB4/XFwvmcd9bjrkV5myZrAAGIrtaUYLgHPTwgkNlyFGF9Ycq8hmens17W93rHPMXF1l\n1Pd6RkaLAMLQpoE8N7/7ke50gzjYOn9y2zJlXhkuXZ2pO0GFJVqO1WUWk5dmuHS9/ZNHs81A1zEK\nKy6latmNGMxOFCVBjqMSi6N8wvPc3ccprNzI0ks/zGDfGQRRRKs10Xzi2QnPG49ELMyZo0+waPU2\nVmz+O9yuE8QiPrQ6MwZLHlZHBUfe/NmwQRMNedGbHCzf9Ak8vacQRAlHwRKiIQ96U6p7vsC+FFlJ\nftesxqJxDReNPls5LvMkzvwdiCAKVK7LbNEUj8i0H57awulc3vpjS8rjpn1uWuo8wwnffc1BHvva\niKjEuY/f/H1Lyvfn5Z81Ip0VjRhoC/H4N06M2/crv0p6H+ueTPUcNO3pZ/PHF83o9YymemPesOGy\nZ/cPJmy7cdM/AnDk8G8Jh2f2Xs4l40nOvl2xVizBWlULQPebT+BtHCnyF+nvIh7wUnzFbRgKy8hZ\nuBJv49j3zLHQmzUUZWgotx2a/DsjmQ3oinIxVBdjXlHNwGM7xmxnWFhC8GgzgQMjYdXmNYvwvnoI\nQ1URxiVJ2XT/npOE6tswLa9Em2sZbhNp7EJX4sS4pJTg0eYpvwZ/b4RYUEZnzsyTX1hjo6/JTyDh\nZn/P4+O2W1/4nozGGcLs1LP5w1XEw3JWDBjnZWN7p5yXLaD94X0Z9z8VvLHZ2XCp/vjlFN2wHIB9\nf/O7Ockz8Z100fFYHYXXLUPQSrh3N9H97NFZH3eumFeGS3d7qjVbVJr59JwFqTeEnu757+abbwR9\nLhoOPkzpoqsoqd6MosoEPO3U7/09Kzb//bjntTe8hqLI5BbWUrJgC7ISJ+zP7Obg7T3Nid2/obh6\nM/b8RWi0JuREhHDIQ0fDa8RjqbtNbae3U1i2lsKKDcSifnraDtDXUcfaa+9Nadfau3vYU2PQjf+D\nKorZ8bgoFw2X80bhEht6S2b3lo7DnuG8kmwwWqXKeu0m/K/sxrS2FsGgJ9Hdh76mGtkXINHdR7S5\nA8PyxUhWM6LJgOz1E+9wYVxcSbyzByk3Z/i8hGcQ44olBN46gK68CPMV6wm8ugdNnoPw0dMYV9UQ\nPnKK3gZfVtTFRnuyxhLBGAtZjk+57XlDhZZ9b58dy6ngWLYBSHp+RhstQ3gbDlGwYSuSwYRt4Ypp\nGS7la3IzUvSTEwquk5OL6FguWYRvdz3Rtl5iVYXoy/KIdqR7SpVYHNGU+t1XIlEkox7RqEeJxJBs\nJtT46KgQYbgNMNxuung6gxQusU3ecAIKF9k4RidtvolDw8OJ7CiwnXqjj77mAM4KU1b6c24c23Ax\nliQ9MaH2+b+xMR45KzOvFTYT2h/aR/tDc2P0zTXzynBxdaQaFYWlmecTOPNSX2JP18wSCd9ONNT9\nZdznoiEPe1/497Tj3r5GvH3pyZtjtR1CkeO0n36F9tOvTDifnrb99LQlQ/K2/HQbOz6TDJu78pd3\n0vbcSVr+eiylfcjfy5kjf52wT4CCSytw7d2Fqzld9vHceY8OZYvExs8xyJYa2FhCDxeZGzJdJAB0\nnchObPpEaPIc+F7cgfWqS0FRCO48iPWqS4k2d6DNd6AmZNRIDEGvQzDokH0BdAvKETTS8HnR5g6E\ns4nZsa5e9J29xLv7kJwO9AsrhvMeALrrB1l0eUFGc7bkZWb4zFd6z/gJed4eijxTQRBFTIWVAIR7\nxgk/VlXig24kgwl97vhKjGNRviY9LGg6uFtDU8oTNK1ZQM99L6CEoyAkQ72UaJycK1eiK87FuW0L\n3pfqiJzpwn7VKgo/ej2IAn33v4Z/x3HyP7wVNRbH3diJtiA9iX6ojWlFFaJBm2yXn5PWv+wPp0/u\nLEF35ka7rSSZu9Ibntjbc3xge8ZjAVx6Vzm9ZwKYc3W8/uumjAQrDEU5mKtGPOBqQkEYFZLt3LTg\ngjVc9E4LxpK5E194pzCvDJdwSMHrkbE7kj+0xWWZVynPLRi5ABIJlYG+ix6X+YyoEdFZ9QhaiUQ0\ns8+qd2/2833keHY8JdK8uvLeWeQvylwVxlU/Ozr+mnwH2pJ8NE47anQkrHX03+ZLVyEa9Mi+4HBe\ngX5BOUooAqqa0lZb6ERTWoCurIhYhwvJakFb6CRyopG8T7yXgd+OhJW4TmZuuLxdyVYS9YWCxmRF\n0CZ/fx21l+KovXTi9vrpJX1neg32nZma56D7v58c/jt8upPw6aR8ef+jb9H/6FspbV33PY+g1aAm\nEsOK0a5fjiiR+XaMhGv2P/LmyHm/fCZ5Xjz5exXvGxyz//EIuiOTN5oEa4Fh3OcEUqMEppIDMhkH\n/tpJb6M/K/WMnJsWpjzue7OBgmtqRj2/4IJVw8pZVXa+p/C2ZN4tnw7uinDNzckEsiXLdRhMIpHQ\nzC+0xctHdgCPH4wylnJj7SV6brnLyqWXG9Hqpr4T/vrzQX79Qw8+79Tmt2iZnh/8rnD48T98rIcz\n9cldvKtvMvP39zowWyYORfrEbV0ZCxbMZzpfaqD85mVIOomO508h6iTsywpZ8L5V1H3jJQDW/r/r\naXrwEP5WLxu/fwu7Pv9XEAQ2//gOdv/jk8hnDZ7iqxbS/XpS1tBUZGP5Z7ew7/89Byqs/9oNNPzp\nAIMN/Wz5720c/cHr+JoHhtVZxiMWzs57rzXMu0vvHYEgCizbWpxRHz5XmNYDsxM2lOjz4P5TUq7U\n//relH/P/Xsyhtp67n96+Jj36aT3U+Ow0//rR1KqIB9+sp3L/3bxzCf/Nub4C3OnJjYfEEZpY/cd\neAVP/SQhJ5NU0x6NrdBA2SrHTKcGQNPumQtjTMSQ8TFX5wH4ejI3XPKqLOhMGmKhkXlsKrqbowMv\nsMS+hePuVyg1L0NWZdr86SF9GqsRQSORGAxOyXtSssxK+cocChZZeObb9TOet77ARsUHNgw/lsNx\nmn79BoIkkn9l8l5kLHNQduc6Oh6ZH+qCU0aAig9uPN+zeFsy71ZP3Z2pN4DiEg3Njamu1I98xs57\nPzIS7rH9mSD/9fWxFxLOvNE1XNJvLoXFGr75s0Jmkrpw1Y1mKhZp+ZdP9hIMTN+4ys0TOQO87+M5\nfOhTkycqNjfG5txoueKecvY+1kU0LFNeayO/2oTrTJCihWaMNg1hXwKjTYO/L0Y0lODUTjc1m3PR\nGSX0JoneljBeV4SlW3LZ+9duSpZaKag00X7CR+WqnOFzj7ycTHwNtHkovnIBqqLiqe/FXJaDpSwH\nX+PA8C6Y78wAlkoH3tN9eI66yF9fjiAKuA93DRst52Ipz8FUZGX9V28YPiYZkjuKh7/9CpXvWY6x\nwErrX4/Rd6Bj3PcjW3kNYpbUyS4yPeylJrT6zEJQPR0TF0q9EEh40j0I0WCCkDeGya47DzOav6iK\nykCr/3xPY06Jh/0gyyBJaExW5Gjmi+sh8hZmHqrp683efM432fpNseTpcbeN/P6JgkQw7gUEYnKY\nZl8dlxbdmWa4aHMtFNy+gVhv0ovc9+zBSQ3Rhh39+PuiGee4ODel5rYMHu9ETSh46lqGDZdku4UX\nnOGSs7QYrW18T9hFZs68M1zGynNpPie14pKNqV+GtRvH/nKIIjicI4sU1xj5LT3dCXa9FmLLtaaU\nYycPR2luiDPokYlGVGx2iSXLdWy+1oTBOLIbVb1Ixwc/mcP//MCT1vdkOPMkrrvFkmK0uPtk6g9H\nGehPjrtynYHFy7RIGoH9b839zVoQIRpOvm/lK6zsfLiTyz9QRiwsEw0m0GgFosEEWoOI2Z78HJyl\nRrRGidf/0MZld5bQdnQQSZN8z1RFxWiViIeVlHOHUBUVBFBGJUEG2jwUXFY5XCAvZ2Ee/WeNi/YX\n6ln8wXWgqjTcP1JE8lwC7YNE+oIc+NqLqIqKqBGHd5ZCPf7/z957x8dxn3f+75ntfYFFB1FJEOyd\nYhMpUVSzbEmWY8k+23Fsx/HFceLcLxcncXL3c5K7XIrPaU7sxI4Td8uKeqU6JVHsvYEEQaIDuyjb\n++7M3B8LLLBY9F2AIIX368UXd2e+852CnZnv832e5/Nw8dvvo7Xo2PmPH+XA5385YT/5kjEevh6L\nzC8FS3JPJvV23/yGy0T4eiI5Gy56q5aoP47NXjOt9hZLBVrdxMVAfd6ppeDnkrAnTjL2wZIvVySJ\nkLMNU+VSLFWNuMT9E9Z6mSm5Fn4FCPZPnDNys5Evw0VryBzOSUoCjagDFIwaO3EpglrIvrfVVgOh\nKz2orUbUZj2CMLUDzVKsZ9W+UhQJBjtmH5Lt2JEZJuYdKufgPdOVketirCrAUGkn0j29kE1jVSHr\n/++j6e+t/34Q56sjoX4qnYaCzTUUbq/HUGHDUG4nGY6T8IYJXO3Dd7YD9/G2aefuCGoR45ICjDVF\nmGocFN+xHLU5O99v679/blr99b5wjrafZufmjmXJxzZR9YmtU7YDuPzX+/GcurHP0nyx4AyXLGWx\nJRpg5CFls6uoW5558xUUqahr0NJ6NdMzY3eoGF0kvX8CRbGnfxxg9UYdb70Y4p39Ydpaxk+We+Up\n+PF3vPzxN4tZvmrkGO57xMxPv+sjMsOQtg3bDWzcnhrsd7Ym+I9/9HLyUPYD2WQW2XGXkasX5195\np7c5yM5HK+nvDBMYjLPh3hL8A3F0RhFZAkFQ0uF3kYDExvtL0ZnVRAMjcfbFNUbKGsyULzcjqgRC\nviQ1660oijJu6F6ox08yNHKu3iv9eC652Pq/PwTAwOluvJeHPDTtXkSdChQIdqQeaoJKZM3v7MK0\nxE7x5iVc++UZQt0+Ol+/wuY/uw9kBQSB03/xBnJCYsuf34+ckBBEgY5XJq+KnMzTS0alm9zjotLq\nsVWtItTfgbm0lojHidZkR9Roifn6ScYiI8vNdkS1lphvADkZR1RrkaUkelsx4cEuRJUGY3EVUY+L\nUH/+835uJsyO3GfAvD23zqBpLN7uMOWrcpOptRTriPrjrF79qWm1X9bwkUnXH3r/L3M6nlwJuT84\nSfmjcV84gqlyKWqzldKt9+A8+uq47YShhD1Fml40gK089yKIX/rlHTn3cauh0ma+UzoC51CLejoC\n59la8ggK0BO6lLVdpK0fXaUDjcOM/+T0Eu3LGsx4OiPoLKopw6snQldswVw/qp6WouA+0QaAFInj\nu9iDff1Ijohjez1dT008OTkZhsqR0ETH9nrqvrgbjSXzXaCx6tFY9RirCyndt4JYX4Br//oOvgvd\nU/bf8Dv7srxHi8wdC85wcY6t5TJGWWzDNn26GLuzO5mWTN64XZ9luDiKxyqKjf9gbWmK8YWP9Eyr\ntoZnQOL/fK2ff3mqAr0+dSAajcCqDbpxjY7J2HFn6gF+7kSUv/jawIS5PKGgzBvPz20l8Ym4etRD\ny3Fv+sE01UNq7PrDT6Ziw5/5y+b0st7m4IRJff0nOuk/0ZnxHaD1yXO0PpktyQlw8k9fy/iuSDLn\n//69rHY9b7XQ89Y4ymhffylr2UTky+Oi0alQacTJ+1NApdGSjAQxFVcjAH1NhyhZuYtgX2t6uSiq\ncV18l6LG7agNJpKRIKG+DlRaPXIiTkH9BqK+fgyF5YuGS3Huqle+3lvX4+Ltyf3cLCV6+q/dOqFV\ngf7cDBdRq8dUXjdpm7h/kEQoP1K1+SLY1YL3ymnsjRspWLMdfVE53ubTRN0uVFoDWlshhtIaLFUN\ntL30Q2Ke6UndW3KU3F5kfDT6zLFSbyhVLT6S9HG49xeIooZocvz70vv+ZbzvX0bUTU8Qqe20B51R\nja3cNmtFsbEDff8VFwnfyBjKfez6GMNlaQ6GS0rZq/pT26h8eMO0ttGVWFj5Jx/m2nfepv+9q5M3\nFm5MBIWckFLusRu0/xvFgjNc/F6ZUEDGZEnNHpSWZ95IG0aFhb32bJDPfiX1g9y0w8DTP8l88DuK\nM2cgJjJcYGYFAT0DEoffCqdFBACW1GpmbLgAeD0S3/yTwZwECOaa0Q+mqR5S03mI5UOJ5EYR9eev\ngKneohl3NtdSthRTcRW+rsuYS2tJxlJqUaLWQEH9RhKxMKbi6vRyKTlisEe9LuIBN4IokoyFMZXU\nEPW6UGn0hAfyV+n4ZiUfcr3heayePt/k49wsRaln9PlzP56i5c1BrjLIusJSqh/47KRtnIdfwXNp\nRHjBULKEks17ETV6RK0OUaNDrU+FOapNZpZ/+g+Q41GkRAwlESPU00r/6XdyOs5xj+vQiyjJOAWr\nb8NQVoOhbKLwv+k/001Fi3H/c4F6jMdFI+pIDBVVjstRxKHQseFl6Xb2kfBZ+84V9L88tXHg7ghT\nscqWU/HJwjG1W9zH2zK+e060wRd3pwflxupCDBV2Ij0zV/gzVBZQvGd5ltES7fER6fWiSDKmmiJ0\npZlqd4IoUP8bdxBsHSDSNXE6QN9bTfgvZQp4GCrtlN27OmNZ+0+PIk9DyCHcOj3xiZ4XztLz4jk0\nFh1qc8pjpLYY0DpM1H1+17T6uBlZcIYLpPJclq5MhWKVlGfOIgzntygKvPlCiE9+0YZWJ7BiXbYC\nmaNk5PRiMQWvO381XK5diWcYLhbr7JKtX3g8iN+7WFvmZiHszV/YiN46vuEScF0n6GpFUWQiHifD\nQcdFjdvwtJ4ZCUAeE4w8cOVIRj8RT286Ll0QxLR07geZfMz2Rnz5M14XGvk4t2GvViAwdYjFzcCN\nyG9RGy0YKyYKPRFQ6Q2o9AaGp/WkxNwY04os4zyyH0/zGQpWbMZUXovW5kCOR4n7PUT6OvG3XiLm\n6Zt2n7dqrZ8bjVqfOQbZVPIgZwb2E0umojU0op51xfdz3PlURjvb9hHpYcPSUqaD1qCibLmFgdYg\n8cjMxy86hxnLskzpdc9QmNgwcW8Ef7MLa+NIjSDH9nq6np6510VbYGTZV/amvw8eukbHEyeI9mYa\nQZaGUuq/tAdj9UidIVGnYsnHNnH1HyeugeM90wlkGnH2DVVZhkvfW00kQ3kOPVUUEv4oCX+UyJDt\npDbpFg2X+cbZPWK4FJdmGi4FQyphvZ0JvB6JlktxVm3UodEIrNui49i7I16PolHb9vcmZ6LYOCWh\nQObLTDPLfNZDb8192Il52yqKPp+KI1diCRIDHsKnmvG9cTyj5sMiUxP25tPjMsHtpygoo2cwh364\n3vYLmVmTU/ygRyfTLhotKfIx2xsJ3Lr3TMSfP4/LrcJs89quP/Mvs95noK2Jph/82ay3H4vr+Bu4\njr8x6+1jbifOQ9MPqZ0ItU5Eb8m9Ptsi2QhjwoVUgi5ttADEpBAaIfveHNh/Ov1Zd8GRtX481txT\nBrLCmnvKOPX8zCcoCrfXM0pxm3CHm6gzuzaW+2hrXgyX0bT95Ai9L2ZLQgMErrq4+I3nWfdXv5Lh\nfXFsr6f13w6SDH8w890WGgvScOkZpSymN4qYrSJBf+bL49KZ1A/o3MkYqzamZnA2btdnGC6O4hHD\nxTWOolgu5ENgJeiX6emYv0GQ/80TyIEw+sZq7A/ejq6+Ete3/3Pe9n8rEPbkb2ZTb5mZtZuMhvK2\nb0WBC6/kf0a8qM5M2YrckrvnEp0xt0eeIivEcjBcDFWF1H7xDkLX+4h0uel/c/Y1EOaCSB4Mc90t\nNjCV4ose8XxhKlj0tswXiiKhEtRISmo8JQpqmGACS2XQoXaYiTunF4Y1G2NlNI6xYWLHWsdt5z7e\nSu1nd6S/G2sc6MvsRKd5nGMZPHxtQqNlmGQ4Rscvj9Pw1bvSywSViLmhBO/ZxXDrhcCCNFzGKosV\nl6gJjpkJPHciZbicPRHhk19M6cJv2m4ARuIQi0pHTs/VO70XstkqsnaznuqlGqpqNdgKUoaTySyi\n1QpotAIanYB2BoUqJ8Lnmd8XYuRSK5GLrbD/CMW/8TCmzY3oqkqJdU4vqXKR/OY36K03boCnyAqv\n/d+LUzecIVseq13QhstY5Z2ZkozKs05GHcZ7qp3e51KzhoU7lxFq6SPW56f84U3E+v3oSqzoisy4\nD1/Df3F+w63ikdwNl7Gx9jc7yTwJciwCGsOCHHLckgxGO2gsuIOO4BlAodq8Hncsu0aZ1mGh6COb\nibT1UXz/Brp+8OZMUpZmjK7QhGV5Zkiae0yY2DCxvgCh1kFMdSOeIMeOerqfmYXXRYH2nx+dVlPP\niZQUsiCOjPMMVYWLhssCYUE+RcYqixUUibS2gFY3VAtEgTNHUzVNms/HiYRlDEaRsko1FdWatBfD\nUTK6+OTkRsLGbXoe+VUrazbq5q3GRjR845LUo1faMW1uROWwwpDhIqhEzNvXYNq6Ek15EaJZj+QP\nET7TgvfZd5FjI4N2x2fuR1NWCEkJXX0FcixB6MRlPM++kxV+JqhV2O7fjmnbatSFFiR/mNDJy3hf\nOHjThapF8mi4WItvrZCam4FcB9VSMvdBrH1TDRq7gcDlXrSFZiI6NwD6CjuKJBO+1ofrlXPUfH73\nvBsuUiL3Z5J6Cqnvm46bV0tkwXHL/TYWMNf9J1hq28Y6x/0ICLijnbT4jmW1EzQqQhc68J9tG6rj\nIqDkM65+DAXbMsPEYv1BQpMko7uPX880XLbPznDxN/US65ue2qEUSxBzBdCXjxRL1YxTl2WRG8OC\nNFx6xxShHC4iuWYoJKy1OY5vKKE9mVQ4cyyWlhbeuF2fNlwKi0aFik1Qw0VvFPlv33Cktx8PWYZw\nUCYUkonHFOIRBaNFoHzJzRsSoSpM3ZCSe+RGViQZ8+71JAd9hF87ihyKoF9ejXXvJhAF3L94PaMP\nbWUxgYNnCR67iK6uEuveTahtJvq+99xII0Gg+EsPY2iswX/gFIneATQVRVj3bkZXXYrz7345dbWr\nBUQ+PS7W8kXDZb6Zqn7OVORDDnu0x6Xsw+sRVGLq31Cxtbg3jBxL3hCJy5moK06EWquautEiH0hU\nmkXDZb5IynGueLLLAoxFjsYx1JdhWFYGCpR+fAfOJw7N2XGNlUH2HB8/TGwY97FWqh4bKbJoqp1e\nHs5Y/Jd7Z9Q+Gcl816sMN+9471ZjQRou7n6JaFRJ10kpcKQOc93W1EDv9NHMCvIn3o+kDY9N2/W8\n9EQAm12V9tDAxDku//NbxazZlGlJd7cneO/1CBdPR+nuSODul7LG1vd/zMyX/7CQmw2VxYhhdR22\nvZuJNncS63BmrO/9q59kfA8euYi60IpxfUOW4SIadHieOpBqd+gCiixjvWNjRviZcUMDxnXL6Pve\nc4RPXUlvK3mDFD62D+O6ZYTPTqGRvoCIh5MkwhIaY+6DM0vJ+Mbyhz9dwEs/8/DQrxYw4ExiMIl0\nXY+hKFDVoMdeqOLke0Ea1hroaI7i98ms3mykrTmKKMDabSae+rfBnI/vlkMAlfrGe1xGE7zqouKR\nzUS6PCjR6RXwm0vkPBhmuRqHi9y6aBZ/G/OKUWOnUFcJgDvWTTiRnRuS8IYZ2H8KbZmdaPsAcnzu\nnkNauxFr45gwsTEyyGMJd3qI9HgxVNhz2ne4wz2j9oo05ln4AauVspBZkIYLgKs7Qc3SVPKy3ZF6\n2K0fMlzOjDFcTh6KpGvwrNmoQ60WKCzJHFj29YwfkjTaaFEU+MHfe3jxl4EpnQBjFTxuBkp/51Eg\ndUMGD5/H8+SBaW0X7+5Hv6IGRHFSVYLQ0YtY79iIfkVN2nAxbVqOHIsTPpNpnEQvtQGgX159Uxku\nAJ7uMCUNlqkbToGtbAIvnzDyf8kSDc/+h5sPfdKOWiPwwk88PPirBWzfZ6Hzepy6lXqaz0XxDCRp\n3GBAFCB+A+Rbbwby4QnI1eMS6XQT6Rx5gQabnVy73pd6SY555rR+962c9jUb8uFR0txiOS63IoJG\nQ9UXv0Lfi88S7Wybt/2qFr1x84ZDX01jwW48sZRGbo1lI83eg/RH2jLaaexGHA9sInLViX17Iz0/\nyX89oGFSamKZY6dV33hwzvY3mqR/5nX2FlmYLFjDpbdLomZp6rOtUMRiE6lt0BKNKjSdy5Sk8wxI\ntDbHqW9M1XJpXKvFYBx5eYZDMgHf1C/k/U8HeOHx6cVADhfIvJnwv3kCTVkh+uXV+F89ihzNlvbT\n1ZRh2bMRbV0ZKqsZUatG0KR+JoIwZmw1xrobDjtT2UcG9eriAkSdltrv/P64xySabr5wKU9nKC+G\ni6Vk/JjZWFjhgU/aCQcVNNqRa+x3y+z5sBWtTqTjagyjRUXzuSgr1usJBmQUScHvVygqX7C39Q0l\n16R6AFHM/4SFkmcvTi4IeTg/OQ/X+Wai7g+/Qf+LzxC8eC69zLx6HcUfeYS2b/6vDFnyhcNQvqg0\n8ey6qNeDLCPH8xceuxgqNn/U27dyuv9FIsmUzLBBbWNt0T1Zhou6wEK4qRv/6VZ05XYElZjtbcgT\nY4tOzhZ9mW1c+eTJkPIgPLLIwmDBjnCcXQkgNSNttatYs1GHKMLF0zES8ewX48lDUeobUx6adVsM\nuAdGHsgT5beM5Z3906+pUrN0wV66CYlcasX/1kkq//TXKUMm4jUAACAASURBVPj4XfR99+mM9YbV\n9ZT81seId7rwv3qUhNONHI5ivW87ltvXZXc41uuU/q5kLJMC4awws2GS7pk9fBYCnq78yBKLqvFf\n4m887UVUgTwquvGVx1MufkEcUbQcbnO9KZqxfJHxkRJyllLMTBFv8YFXrqF0AMlxns+LLCyURJyO\n7/79pG2K7nmA0JUmQs35k+yWpcXfxnyhEXRpowUgkvShFrIl+COtLgz71lD2yV2ELnXNmdGitRuw\nrSybuuE0KNxWT89zp6duOIp8TFwtsjBYsKPv0Qn6VrtIw+rU7PTYMLFhTrwf4dHPpxLO12zWceHk\nyLqJFMXEMe9on3d6N6zZKrJ558TJ/AuZ5KAP/zunsd29Ff3KWqJNbel1tn1bQJJw/f0TGd4YUTe9\nn4mqMOWFkDwjXqvkgBftkhLC56+hJG58DH8+cOfJcJkMeQIRvNHGyeg2i0bL9EjGZTT62Yer5GNg\nv5ARNbl7XKTYYt2Tmx5BwFBbT+hKfusMLdbEmT+iUpBC/RLc0ZQEcqG+iqg0fkSJ/9g1BLWKpG/u\n3m2FW+syJjsVWZlRFXlRo0alT41FHNtnbrgscuuwYA0X52jDxSaydMibMpHh0nwxht8rYbWrWLZS\nO+SxSeHqGX/APNaDX75EPWVBSEGA3/i9Akzmm3cA43v5MJadayh89C56/+KHIzMsahE5Es8wWlRm\nA/oVtdPq13zbKgCiVzrSy8Inr2DavALrHRvxvXE8eyNBuKlUxQA8HdP3zC2ysJByNVxueY9L7oZL\nYnFwmsWSL/4WocuX8Bw8kF5WcPudmFasouvfvoNpxSrMK9cgxxPEnT0IOh327bsIX7tK33NPAqAp\ncFBw+x3oq2pQGU0kgwECZ0/iPXwwYz++o4cwVNdhXL4CRZLo/Nd/QI6NPNNrf/cPEXQ6EARcT/2C\ncEtzxrGWf+YL6EpKETRaSh55LL3ce/ggnnffpO4Pv0HPD/+VmGtE2EVXWkbF5/4rPT/6HjHnxOpN\niTwYta5mP2ee7Zi64QeM3ouZifdXvYdY67gPSYkBAipBw/nB17K20xSaKXl4K/G+lHem/+XTc/JO\nLhyjJjZ46BpXv/3mtLe3rixn9Z8+BIC5vghdiZVYnz+vx7jIzcGCNVxGe1xMFpH6xpQUXcf18eNt\nZRlOH4lyx/0m9HqB1RtG8gcmMlzG8vHPWTl3IjpuKNrwcfzmHxSw517TdE9jQSKHo/hePkLBx/di\n2bMB/9spadbopTb0y6sp/MQ+Iheuoy60Yr17K5I/hMpizOpHiScofHQf8W4XuroKLLs3ED51JaOg\nZeh0M8aTVyj4lTvRVBYTa+kCQUBdYse4vgHX3/+SpGd6eUULBU/XouFys5KIS+iZvaylOE81nm4U\n6jwYZtIHUBxCZTCisdszvs8U49LlDOx/Ace9HyZ48Sy9v/wpFZ/+PLrSMmIuJ3IiRjLgp++Fp5GC\nAfRLqin60EPEXS7C10cEThz3PIDv+GF6fvJvqCw27Dv34H57JFS37R/+GlGrpeb/+/q4x+F64qcI\nKjXVX/0a/c8/Rfhaqu/hfJhYTzeW9ZuJvfZSehvzmg0kBvsnNVogP2GEYW+ci6/25NzPrU4gPsBR\n5xNYtEXp75KSPTGrthoIXelBbTUO1XHJv92iseqxrqrIWOY+dn1GfQSuOEn4o2isqbxYx7Z6el44\nk7djXOTmYcEaLv2uJImEgkYjYDCKTOc9cOL9lOECUF41Mjjpm2aOy6r1Or71w1Je/s8g164kCIdk\n9EaRskoV6zbr2XOfEaMp9WJ/48Ugd3/EPPMTWyD43zmNZe8m7A/uInS8CSkYwff6cQSjHtPWlVh2\nb0iFlb1xgnjvAOW//6msPhRFQVtVjGX3OuR4Ev+BU3ieeWdsI/r/7Xliezdh3rkW05YVKEmJpMdP\n+FwLUnh8D9pCJh5JEhiIYim6+YQFPugko7nN+Gr0KlQaMUt9S0RFvW4dJZoqFEUhQYILkYNE5WBO\n+5sMm8pBnW49Z8L5Ux/TWbJj4GdKMv7BM1wK991H4b77cupDSSYJXDhL0Yc/SuDMSWIuJ0m/D7Wt\ngJjLiRQM4j7wRrp9wuPGumUb2rKyDMMl5urB897bqS8D/RTsuiN7X5MIBsjxOII6tV6RJOR4ZjiP\n/9Qxiu79MO4DbyDHYwiiiHnVWnzH3p/yHJN5kPzWGhaVyaaLWqVDpzKgKKnPUjLbcIm09aOrdKBx\nmPGfvD4nuSCFW+sycgvluIT3TNeM+lBkBc+pDkruXA6AY8ei4fJBZcEaLrIE/b1JKqqnPzt6+mgE\nWUolLY9mohwXgPffCLPr7hGrqGapli//0eT1WV58IsD3v+Vh/RY9xWUL9hKmCR69RPDopYxlSiJJ\n15/8a+YyScLz9AE8Tx/I6qPtN/8ma5moUeP828enPgBFwf/WSfxvnZy67U2Cs8mPZXfuhovOpCEW\nWlQ7mS8ivgQFS3LrQ2/VEBrMHMwt021EJxo4FtpPUomjF01E5bnPhco3BlvuRdYi/vypUN0sDLz0\nLMFL59PfzavWUvThj86oDyk6ItcqhVNeXUWSEFSpF5qo1WHduh3jsuVorHYQBUSdnvC1lox+Yr2Z\n3ghRn9+K36HLF3HcdR/mVavxnzmFYWkDosFA8OL5KbfNdeIAQGO4ce9cc+UytNYCIv3dRD19KFIS\nvaMMKRohEUqFWumshYg6A5GBHlCU7PU2BzHf3NfZKjMuo8G+i1ByEBBoVO/mqvd9nOHM34vGbiJ4\noQPv+5fn7FgKd2SGifnOdyHFZv7e85xoSxsu5qXF6EosxPoWZsSGMk7IrKhZNLrzwYIO2D51JHM2\n/vqVyV+IAZ/Mz/41U6XK75Npa5l4u7/5kwEe3tbBVz/l5PnHA1xrihP0y8gSJOIKA64kp49G+eG3\nvfza/d08vK2D73/LA8Dzv1iYN8ytgLVxHaaaZaj0Rkp2fwhRp6Noxz6Kd96LriilTKIrKsO+fjsA\ngkqF47Y7sS5fC4BKb6R4133Y120bf93OeyjeeS9aexGWhtWpgQBQuOl2RJ2Okt0fouT2+9EVl497\nfCeeaMvLeW77TH7kIReZHr1NuavYFVZnhoraVSVYVUWcj7xHUkk9a4aNFq2gQyekDNwl2kYa9akK\n0HW6NdTp1mBTOdhhehABgS2m+9EIWkRUbDbem1YAKtFUsc6wBwCVoEYvpjy9xeqa9DGIqNhhehC1\nkDI8yjX16X3lcm6zwXn5gxd3rigKiiyP/BsTayNHY4i6zIkOXcUYC3rUNso4ahs1v/P7KNEoPT/6\nPu3f/iYd//y3KONIFY+3bMYoSurfOAp8iiTR/aPv4bj3I+iXVFP68KP0v/AUyeDU70Nvb4RYMDev\nS2H1zMPw8omipP7GyDJlt92HqbQWW/1qNEYrRWt3ISXiRPq7QVGy1gsqNZaalfNynDXWjbzX8yNO\n9b3Iqb4XeK/nR9RaN2W105UXoLabsO9agcqYXyN3GPvakd+6Iitc+5cDs+rHfbwVz4n29Pflv3tP\nroc2ZwRa+rIK+tZ8dscNOppbiwXtLvj+tzxpI2G6PPkjH0/+aOaDk/ZrcX7wdzN74D//eIDnp1n3\nBaClKcbD2xaTCqeLdeUmrCs24D52AOuKjSSDARJ+N4Wbb6f31Scz2iqSRPDqBUx1KwAwlFcRdXaC\nKGSts6/bhu/iCRIBH6V3foSYZwDRPQCAtqAIlc6AqNUzcOQNkqHx/759V/1ICTnnZO3qjZN79xbJ\nL4H+6avYTIS5MPvlrjB+6I1VVcRAshuAvkQbm00j4UQROURMiRKRQygoJJU4KkGDXjRjFC1sMOxN\nt40rqUkco2glIKUKWA5KPZhVKYNbRqIv2Umxpore+HVK1DW0xy/O+NxM45zbTAkO5H6NbzWi3R1Y\n1m4kfL0Zye/H2NCIfkkVSf/031UJnwdD3VJCzZcQNToKdt+JMIGk+lQMe3GEseEJQyiSRNLrwbJ6\nPYk+V8qOScTTxknS7yPccgXHvvtRkglCV69Me9/+vijF5tmHWau1Kgx2LRHvjfHsJfweou6UMIG/\n4wrmivpU/lEkSKCrhaJ1u0mEfLgvHc1ar3eUoTEXzMtxOkPNlJsa6QtfQxBESo3LcIaziz0bG0cm\n5xz3rqPv2XFEdPKIv6mXhH/2IeLuE20UbElN2piXFaMrshAbWHiTyHI8ib+pB/u6EaOtaNcyoi4/\n3c+cRo5PbMALanFB1fdaaCxow2WRhcvgT/cz+NP9c7oPf9MpTDXLkaUkKo2ORNCLkpRwnzw45bbh\n7jbK7v4ozjeezVonqjVI8Xhq1kxUpWYWBQFBFEFUkfB7GTz2FoUbdxHquEqo41pWH1JCxtXsp2K1\nPWvdTChZZkFv0xL1ffDCa24Ewf7cc6ps5ZlS6BE5gEG0oBY0JMckvypMFi+ujNtGAKJKiBPhV7O2\nGD3/PdZY6km0sFK/DXeiB71oxCv1TXkuYxl7brMhOHDz5a3NNd5D76I2WSh58OMIahXhq80MvvYy\ntu27pt1H/0vPUXTfh6n6r7+LFA7hO3qIZHBmOVQFe/Zh37od1KlXf8kjj4EsEx/op/s//iVzfy8/\nh+OeD1H5hS8jRcJ43n2LwPmRnAL/yWOUffKzBM6cRElO34sS7I9SXJ9bfqilWH9DDJdgd2aYVdjZ\nRsTVkbqHFYWYx4Xz6H4EQUBR5Kz1kYGeVAjZPFBuasSgtrGiYE96maQkqbNuSX9/u+v7c26oqM2Z\nkyHu42059ec52QaM5G0Vbquj96VzE7a/kfQ+fzbDcAFY8rFNlN27mmBzH3F/BEEUUOnVqM16tHYj\nWoeZ9p8cwvn6pQl6HUHUaVAbNKiMWtQmHSqjFpVRg8ae7Tm3b6hCZdAgRRLEBgJIkQRSOE4yHL/p\nlF0XDZdFFjTuE+9StOteBo+8heO2O4j7PMT6e1CSRdhWbEBtKyThGSDhd2NduRFtYSkmdx+xvh5U\nehOGsqqsdf6m0xRt24ucSBC8dolkJEzhlj3EPf0oyTg6Rynm+pVDs5ITq0j1XPTlbLggQPWGQprf\ncU7Z1Lx8NQnPILF+J+ZlK0kEvMRc2So+9g23YVq2iu4nfzjpsg8i/r7cB9X2isxQlZgSwZPspUG3\niebYSSQliUbQklDi+KVBdIKBmBKhRFOLJzn13zkk+VCjwa4qSRsfWkFPXIkSkgPp/JkCVWYxt4gc\nJKkkqdQ20pecnWd37LnNhsAHzOPS+td/lrUsePEcwYsjgyk5FqPvxaez2gUunAUgdPkSocuXsvrr\n+v4/pT/Hervp/uH3Jj2Wrn/7zqTLPO++iefd6UnQRrs66P6Pf51wvTwUkjZ8DtPF3xeZutEUWIr1\n9F1dGCGJ2WF9Skao4Hhhf/PBqb7nb8h+x1K4tS7juydHw2Wst8axY+mCNVy857twvnyesgfWZixX\nm3XYN1XNul/72iWs+PqHZuRxLbtvNWX3rc5eoYD7ZBtXvpk9UbZQWTRcZkj9HzyEdV3N1A3HcP5L\n30MKf7Be6LngvzLyIHK+nnrhO998DkFUoQxVXuw7mOnx6T80IvlZcvv99Lz8OMW77sX55rMZ6wBc\nB14aqiGTeqk4X+sZUtpJvXDi3gEYilufiK5zbrY8NvPfwliW7SqeluGisRYgDyXwqq0FyEMKMRqr\nHV1JOdHeTpKhIN4zxzDWLs/YdrxlH0QGWwMospKhcDNTbOMM7ptjJ1mm28h204PISpIECU6GXiOh\nxNhsvAcBkYgc5GrsxJT9S0hciL7PMt1GVKhBEOiKX8GZaEVSEmw23kNCiTEoZc/cprwuOzgZzq7X\nMB3yYbgseg8/GJhXrSUxOECsu3NG2/mduU8eFNWbuXZo5h7FDxJxeeQ623SlFBlqKdbXcMT5xLwe\nh2PbSB5n8PpA3sO6LMtK0DnMxAbnTsExF1p/fIiYN0LVo1sQ81UHTCXMOkw0CyEltHQzcXMd7SIf\neJSJSsqPwXflDAUbduA5d2SinjKTYcf0q0hT76fjlJtETEKjy00pZOnOEjQ61bSKs+nLqxA1OnSO\nEuLuPjQ2O46d+/BdOEXx3Q/j2v9kRrG5RTJJRCU83WEKq2afhD5eAntCidEUHf+3djL8etay1tiF\n9OezkZR07WhZ44Dk5nR4/JnxY6GX0587yKxsLiERkr2E5ZnPRpsKdWhNN4/qTdmSrSQSIbwDLVhs\nS3CUrsLZdYJQYOpJgEVmj8ZegLakDOuGzfS/PPNZ/f6W3D0lJUutOfdxKyMIIgW6Cor1NTgMtcTl\nMO5oF5c9783rcaiNOmxrK9PfPcdb878TIVXccqF6XVCg57nT9L/dRPEdjVhXVWCsLkRt0iNqxVTI\nVihO3Bsm3Okm3DaA59RiLvRkLBouM6T/pdMEzrSjMunS/9Q2Y9oLE+vxEGnvJxmKkQzFkMMxksEo\ncnxR8nY+ifU7ifXP7QAmGZNoP+Fm2a7inPrRGFQs3VXM5bemcbyimFL6EVIeA1NdI6JOj3nZStQG\nI7riCiJdc/ByuIXovxrIyXAx2DRYy/R5mTnONxXqenoS2TlZ06G08eYaDBpNxbgH3JQt2YJWa+Za\n00tU1e1eNFzmmMov/CZKIonnyEGCTVNLII/F2Zz7jHvJsoVXQ03U6yj9k6+m5acHvvMjYq0z80bN\nltI/+DKuv/kuxYY6igy1FOgqCCYGGIx2UiY2cqj3Z/NyHGNJhmMc+fT3897v4U9MHMIIEO50T9lm\nKi78j2dy2n4sCX+UnhfO0vPCzEIrx8N7pjPn87uZWTRcZkjgYieBi5kPI43dyOp/+nUA3O814Xrh\n1qlXssjkXHvflbPhArDirvJpGS7R7nbCHddRW4bUpOJxglcu4G/K/WH4QcHVEqDxrrKpG05CWaMd\nv3PhDJDLNHVUaVcQlLy4Em2z6+MmM1xkKY5KpcVsqUCtNaLR6BGEBa3wf0vQ9rd/mdP2UX8cvzOC\ntWz2QhC2ciM6i4ZYYB4mBEWRyr/+45HvsowUDBFrbsX34hvIoVTNHTkao/d/fhN1gZ3SP/7tuT+u\ncVjjuBt3tItL7jfxxlLPp2W27TfkWG4E5bZVNBbv5b3r30eS49QUbKLesZO3W/5p6o2HsOnLqHfs\n4HT3iOGiUelZW/4RTnU9OcmW0z/GcssqNCo9R9t/CkDjh2qp2FBEMi7TfcLF9Xe6c97PZBSvKKD/\nckqxt25PBW0He+ek8OhcsWi4LLJIDlw7MpBzzgRA7W2OWUl8BpovUHrvw+jKKhHVGvreeonCbXeg\nLSzCsXMf3tNHELUarKs3ZyyTIgu7OOKd/6WMd59wse8z5Vw67KV2jYWeq2FKqvUYbSp8/QkGe2KU\n1xmIR2V0RhXO1gjJhExprYH2i0H6O8f3iPTnIam3rNE6rbyk+cKZaMWZyM3TVtZoy9PRzA/d7e9j\nti2hpel5VGotlTW30++auQcg3+hsRdTv/SxqnZFkLETTs383b/te+ch/p/fUq3jbL0zd+AbivOLP\nyXBBgJpNjnm9B33Pv070whVQq9CUFWP76H0UPPYRBv8jM2fkRiXjAxx2Pk6xoZZ62xb0KivuaKo6\nvUpQIym51c+5WYgl/Vh0RXgjPZh1JcSk3HNfElI0L0YLQK/vEt5ID+vKP5KxvOn5VpwXB9n79S10\nHe9j3SeWIapFWt7somZHGRqjmv4mD4ZCHS1vdBIPJ1n/yeU0Pd+a0TY0EGHVg3Xp9t2n+9n8aytQ\nZGh5oxNPux9rhYn+yx6KGuys+ZVl2CrNOM8NUlBv5dpbXcRDCdZ/cjlnH2/Oyznnm0XDZZFFciDq\ni9N9wcuSdblp84sqkQ0PVXH4xxOH+XhOjMhAe08dSn92vvwkokabStZXFAYPvcngoZH8CClC1rKb\nAVlKCQVvuKsQ5/UISxpNSJJCNCSj1YvUrjHzzi+d3P1rFbzxox72PFrG9XMBDGY18cjEg4eeS16k\npIxKPfvZ+cq181OLYb4QRIHyVTkq5EHOxQVngtFUSmFxI47iVH2mlqYX5mW/ap2RVR/7/fT3mH8Q\n9/XT9Del7smYb4CmZ/8We906ytfvm5djutlwXvGz/I7SnPqo2Tw9NcZ8IYfCJD1eAJL9g6gdBVju\n3TMk8rIwZqujyQCdgfN0Bs6jVRlw6GvQqgzsLP8UgcQAg9EuOgMLNBckT4Ribiy6EryRHnRqM/Hk\niIpdypuyE5WoJinHudL3NpGEj2JzPfWOHSSkGIGYK6O/Mksj5dbVGLRWDrX+MGOdTm2moWgPBq0N\nUVDR67tEh/cUdYW3UWxehqxISHKMi879xKXJQ4uX3VPF0ruraDvYQ8N9VYQGogR6w2z4Lw3ICYUD\nf5OK5ClbV0TdnkoGW3wkosmstoe/cx5bpTnd3lJmRGPScOLfLxEeTB2DuTg1aTBw1YunLcC5J64i\nSwrJhMTSu5bQ3+QhEV24hu6CNVzu/C9lHH1xgERMprzekJ5FXbreQndLGEWB2z9WwoHHnag0QnpG\nVlQLOCp09LVH8LrirLq9gEPPuCheoqdxu432C0ECg4n08i33F9F+MUj9Okt6JvfU64M3+vQXuYlo\neb8vZ8MFYMNHqzn+yzaS00jSH4ucuLWUnEx2Dbd/vJTu5jAGkwq9WUX7xQBLGk0oUmqQEBhMsPm+\nIuLhESNFFCHkS1C/3szpN93j9p2ISnSf9+ZU/LNshfWWqr9TsdqGzpz766D95Pw9OwtLV9La/Cqy\ndGPyB1sP/Iyox4V1yQoqtzxAzNePvye7wN8i2XSeHv/enAm1W4rycCQ5IAgo8eSMjZayP/oKot2K\n7PEROHCE0NFTGevNt9+G+fatE7cRBKz37Ma4YzOiTkv0UgvjEZci9IYu0xu6jFrU4tAvwaGvG7ft\nrUQgPohZX4xWpSeeDGHUpiZkREFNQ/EezvY8R0KKUWJeRkPxHs71vMDy4r2c6nqSSMJHQ/HujP6c\ngSt4Ip1srnosa18rSu5iMNzGBWdKMEUlagDo8V+g1X0MgHrHTkotK+j0nsnafjRtB3vpPtWHIits\n/HQjQVcYKSFx9vEW6u+sGDme8wM03FONpcLE+SevserB2oy2AKHBEWMt4Axz6odNrHu0gc7jLrpP\njlHjG/X7HWj20vihWkxFes4/dX3S472RLFjDRRBg+WYLztYIikJ6FvXIi/3c9akyDvzSRU9LBGdr\nhA//5pL0jGzYn+D6WT8DXSllJbU6FcKz9o4C3vrZSM2L4eXD/aq0Ynom90ZjqCnCvn05puXlGOtL\nEEQRORYn6Y0QdXoItzgJnO8i3OqaurMx/VZ+9g50ZXZURu2s+133g99E1KVu0DOf+faU+9UWmln1\nj59Pf2//7ut43r886TaiTkPBjgasG+rQ1zjQWI0gQNIfJdLZT+BcJ+73LiNHZzZwHH1tc70OwzS9\n0cvu32jIaQYfUknfa+6v4MxzM0voLDTWYNBaCURcBONurPpS/FEX8lBogEFrRyPoCMT60Kj0VBds\noj94DV/UiUrUYNGVZLS3DrnXY8kwOrUJlaghHPfmdG4z5aXvZl4DUSUgSwodTZkhboKYVrTm3f9M\nzb52NYeRpckHE61HBnIyXARRoG6Lg6Y3s+vo3IzUbcs9Twug7cRAXvqZDvGoD6t1CfF46jcRDs2v\nPG4yFiERDTLYcoLiFTvQ2YphGoaL0VFJ6bq9GAorEASRqNdFz8lXiHhSv9+yDfsoqF2PWmsgGQ3i\naTuP81xKcW7Vr3yNnmMvUrRyFwZ7KVF/P13HXiDiHvkdak12lt79BYyF5STCfi6/OPKMLl65k6Ll\nt6HSGoi4e+k5/SoRdy8FdRswFlWisxahsxbR8f6TlK+/G43ZTvu7v0BUaam989M0Pft/keKpd2v1\njkdQgM7DM09idjX7CA7EMBfppm48AZZSPWUrbDgv+2bdx0wQTUbUBXZQCahLijHt2oL/tQMz6sO8\ncwv+194l0dWDpqoS2yP3g0ogdOhker3lvjvwPbN/wjbGzesw792J75n9xNu60C2vR1NRMul+k3Ic\nV/g6rvDCHYzmi7gUxqYrxaJLvQeN2tSkollbiFFjZ0PlIyNtk6lnRywZIJJI/Y4GQm2YtVMbxYIg\nYjdUcK73xfQySU5NohQYayizNCLJCfQaKwOhqcN4k5FkOs/k6hudbPzMCgK9IQaax7x7FQj0BDEU\n6Ij5Y1ltw+7MOkkFdVbqdlUgakQEBGwVJsrWFeFuC9B51MngVR9bv7iatvd6cF1y09/kpnhlITH/\nwlUnXbCGC6RmXY22JFJCTs+iimoRb38CWVKwONSU1ujpbYmkZ2SLq/TEw6k/fmmNnsoGA0saTfS1\nR7jjE2W0ngsQC0vp5cP9oijpmdwbhcqoo+rX92Lf1jDOOj0qox5dRQG2TfWUPwYxp4fm//8/p6wP\nM1f9zhX27Q1UfPp2tAXZyjHaIg3aIgu2jfWU/co2un/8Lp5DV6bsc7JrkFo/++sQ8ca5+q6LFXeV\nT+8EJ2Hzo7Wce7FryoH3WDSCDo3ahBIfoNBYTTQZIJrwU2BYgkVfQiDWj4KCIKjQqPTISsqroyhy\nRvsK22piyRAllgbaPSeptK1DqzLQMvA+SfnGPcgmuh7jhZNP59q1Hh/gji/nVtembnvRrWO43JYf\nw6X9xPx5XKJRL0ZLKcOVZ+bbcBnGVtmISm+ctrdFikfwtl2g++gLyHKS8g13s+S2B7n6akp9yV61\niutv/YhkNITOWoRKrc3YvnzjvbQfeppE0EPp2jupvf1RLr/4T+maU0Urd9J15FnCA10U1m9ArTOR\njIUorN9EYf0G2t59nETYT+HSTdTt/QzNL/5zar81a7j2xg8pXrmT2j2fpPXAz7HXrMGxfBudh58h\nEfJhq1qN+9opBJUaS+Vy2g/OvibItcN9rH9w9kX4AFbfWzFvhovtoXuwPXRP6ossEzp4nPDJmeVU\nme/ejfPPUzlPib5B1A47lrt3jxgud+8meOAQ4VPn1BC9HQAAIABJREFUJ26zczORM5cIHTsz1GYA\n087N+TjFW4aEHKPAuISBUCtlrBhaKhBNBjje8XhW+9FvjBnnKI3jcasvvI1jHb8gKcepLdyKIEwu\nM3/llbaM70FXmPe+dQpRLSInZbpOZE6invlF84RtAY7/4FJ6vafVj78riCIr6Xfjq39yOL2+6aVW\nVFoRKZ7aVpEV2g5m1whbSCxYw+Xtn2fGrg7Poo6eYX35e10oMrjao+POyLrao/zi/6Qs3a4rI7O2\nQHp5T8vUs7PzgaBRsfTrH8VYlzlzEvcEEVQq1EYdwpgZ/aQ/OuWgerx+5USSZDCaU79zRelDmyl/\nbGfGMiUpkwxFEUQBtVmflgJWm/XU/Na96EptOJ85NmGfE13bfF6Hs8935sVwsZUb2PBINaeebJ/R\ndnE5QjwZBEUhJo3cAxZ9Ca7AZWLJlPJNLBkklowQiPUDICtSRnuD2kaP7yKioMKosQMC/lgfapXu\nhhou+cbdHsTvimAtnX2C8NIdJWgNauKRhRsLPB2K6swUL81dXnawPUigb/4kogddIy/nAseyedvv\nMA33fRGARDhA+8EniPn6p7VdLOAmFhgJlXJfO0X9Xb8GCAwPoeREHCkeJTzQlbW9+/oZwgMpj2Tv\nmdcpqP8a5pI6As5Ufpyn9Sz+7tTApu/yYcyltQSdrRSv3Inr4oG0Z6fv0kGKVu7EUpEy4ONBN1Gv\ni6CzFWNhBeGBTrRmG4VLU4Niz/XTFNStx33tFNaypcjxCEFn28wu2iiuHx7I2XBpvKuMA/9yJT3o\nmks8v3guZVCIIupCO7aP3kvJb3+Ovn/4d5Tk1M8A0WxEZcmUYY939mC5Zw8qmwVFklBZTMQ7eyZs\nI/kCqIodhE9fnNYx29UlbLDck/7eG7/GldBEtc0yqdA1sNx4W/p7S/gkXbHJIyUWCoFYH0vsG2gd\nPJpeFooPolbpsBsq8EZS11irNhJPhtGrLeg1VqIJP4XG6mntQ1Fk/FEn5bZV9PhSfw+1qCUpx0nI\ncZJyHFFQ4zDV4g7PThZ72BDJta2UmLyf4funbk8FhkI9V9+YHxnv2bJgDZexDBsXo43h0Z+nY3yM\n12YhGC0ARXetyRhY9+8/w8CbF4j1piTrBJWIrsyOeUUllg3VWNfWMvDm1MoxY/tt+tpP033m0u9c\nMdpoCVzopO/5EwSv9qIkUh4CUa/Fur6a8ke3oytLuYDLfmUb0W433mPjx/pOdW0h9+vQfd7LQGuQ\norrcB4A7P7uMy286CXumbyhEEv60MWLTl6MW1HT7LjIYbqe6YDPRRJAu31kURUYUBCpsq+nxXcSo\nLcho74l0UVOwGa3axPWBQzhM9VPs+eblytsutn6ydtbbawwqGu8q4/xLmYPLrb+xBk9rgEQ4Tmgg\ngkqjItQfIdgXRm/Xse7R5bQd7KavyY2p2ECoP4LeriMRTiCqRNQ6FZZyE/1XPCiygmOpnag/Rqg/\nMsGR5MaaDy3JSz/XD89fmJjZWoHeUIBOn1JCs9qr8QyOf//PFcM5LpaKBmpu/wQdB58g4Jw6FEet\nN1GyajfmsjpUGh0IAoIoIogCiqwQ8/Wz4sGv4uu6zMCVw4QHMweyseCI0SMlYiQjfrSWAhia64t5\nR3meFAWVWocgqtBZCqne8TGqd3wsoz+tyUY85ENKpJ43ipxEig/91mQJUZUKC/a0nqV03V4AbNWr\n8LSeI3OuemZ0nB4kEZHQGGZf9FRv0bDirnIu7p9b+dgMZJnkgBv/i29R8t+/hLa2iljL1KFAoloz\nztLUJJwSTyDqhsLmhLEKlSNt0iwQMYCFij/qIp4MZiipSUqSCz0vs6x491AuikCX9wy9/iaa+w+w\nvuIhElKEwTFhXSvL7sGgtqIRDWyoeBh/rJ/rgykhjqa+t1hetIdK21oEBJz+K3R4TxGKD7Kl6jGS\nchxPOPP9sKbsQ2jVJnRqM+srHsIfdabzYW40re8ubE/LMDeN4XKrY91Qm/7sPXqV7p9mVrhVJJlo\nt5tot5uBN8+jNuuRolMnpY7td/RgPZd+5wK1dWT2e+CN83T96EDWe1GOxvEebSFwvpPlf/5o2nip\n+NTt+E61oiSzE9unuraQn+tw7oVO7vrqyhltMx5ak4o9X2pg/19Pz3ByhzO9M5ecr6Y/J2Mxrva/\nh4CAMnQxWwbeRxxyXYfjnoz27nAHnkhX2l0+/IC+FTn/SldOhgvA2g9VZhkuUkzCXGLA25H6/Yhq\nkU2fW8W7f3MClUZEa9GQHJrhWvlgPSf+/SK1uyroPunCUKBn2d3VtL7XjaIoLN1XhSJD45paTv64\niZgv/16vlXfn7ikEuDCPg8doxE2BYxkDrqGZTnUO0rqzZDjHxX39NJaypTgatk7LcKm5/THkRIzW\nt39GIuLHVFzF0rtHcgBb330cQ2E5RQ1bWXr3F3CdP0DfpRFFweywEyHjOTmeWIEgCCBA24GfE+xr\ny1inKDL2mnUZg2FlnIFxIhok0HMVQVRhqWygZf/3pjzXyZDiMs3vOll9X+XUjSdh26fquPRaz7zX\noRANQ4bGNIVRkj4/UjAzR09bVYHk9SFHosjRGFIwhG5JBbEr18dtAyANuNFU5KbIdqvS6xvxwp7o\nTIUxHuv4eXqZP9bHqa6nsrbrD16jPzii6NnuGRFDaHK+PuH+ogl/Ro7LMJecr024zQXnKxOuW2R6\n3PhM9EWAzEF7wjO17ngyGB13kD5f/c4FRXevBSDW708ZF5O8h6RwjN4nRuI0tUUWbFvG9w7M9BrA\n7K7Dpdd7iYfyc+1W3VNBVQ7J42NRxlzM4RyXcdvewDoE84m3K0z3ec/UDSehbKUtW0ZYEGg72E3N\nrpQSTEGdFa0pNdsa6o8Q9cZwX0slXA7/VUbXAeo51UfvmX5QwLHUjt6uI9AbQqWZm8e1wTbeTPDM\n6LnoxdM5f7WBkokoXe3vEwkPEgkP4uo5NfVGc4ggitO6b0SVGlNxFQNXjpCIpOoJac2OrHYRdy+d\nR5+n88izlKzOVDnSWUaeCyqtDrXBQjw4uUqXLCWJBzzoC0qRpWTGv+HcmOngvnYKS1k9EY+TWDB3\nwY4zz2aHws0Ue6Uxb8b3ZAwn56sddnQNddgevo9k/wDx7sz8A0Ecuk/FMQamohB8832Mm9aiKXFg\n3LwW055tBF5/L2O96c4dE7cBQkdOYdi4GuOW9WhKHJi2bZrL015kkQXHouGyQIgPBNKfbVuWobEb\nJ2k9+34XMoV7Ut4Kz8HL0zIa/Gc7MmbZLGvGj02dq2ubtZ9wkpP/2ZafzgR44OtrMRbMXnVnkak5\n/3LuXoJdn1+atczbEUgbI6Iq8zErqkQaH0jJkrqv+9j0a6soXTMyeB09291xuBe9RQOCQMSd//wR\nMUclvGHm09syjKNkJSCAIFBctm7e96/WGdDozRTWb8RS2Yiva+r4f1lKkoiGMJXWIYgqDIUVlKy6\nPaONuaQWtc6IWm/C6FhCPJRpIBTUb8BUUoNGb6Z8/T0kwn6CrrYp9+26+A5FK3dhrWxEpdOjsxTg\nWLYZcUzy/2QEeq/hWLYFz/XJpV2ni6s5P4n1u76wDK1hbgNIbA/dQ+kf/zalf/TbFHzqoyQH3Ax+\n//F0fov9o/dT8Zd/ROnXfxuAot/8DBV/9XWKv/yr6T6CB49hvXcPxb/3Jax37yHw8lvpJPvh9f5X\n3pq0TejYGULvHsX2kX0U/7cvol06vZyMRRa5VVgMFVsgeA43Y9uc8hhoiyw0/PkncD13nMEc803G\n9uvYtwbPe5eR4wsroVhbZEVbZAUg3DK9omJyLEEyGEUz5FHRV4xfS2WiazsX1+HkU+1seKQ6L7PY\nJoeOD/+PtTz5tZPzHgbxQaH5HRd7v7Iipxom1ZscVK4tSHtvTv0oFa5w4C+PA+C+5uPCUyOKU8e+\nfz7tPWk90EX7KDWYgDOc0bfz/ACuiymlrrn4Day5r2LqRlOQiEo0vz0zafZ8EAkNUF1/B2qNib7e\n0/O+/7o7Pw1APOCh9/SreNtSSlBV2x7CUrkclUaPIIqs/vgfISdidB55hqCrja4jz1K5+QGKV+wg\n6nPRdex56veODG6X3PYgaqMFRZYID3bTcSgztGWw+RjlG+7FUFBK1NdH+8H/nJa3x9N6DlGloXzD\nPWjNdpLxCOH+jqFclemhKDLGkmraD2WH29xILMV6bv9iA299uyn/ncsy3V/731M28z67H++z+6ds\n5/yrf550fejQybSC2LgoCr5X3sb3yttT7muRRW5FFg2XBYL3yFW8W5em5Xq1hWaqPr8XQ3URnvev\nEGqenezq2H6rPr+Xik/sxHO4Oad+842xZkQ3vf5rD82qD7VFP+7yia7tXFyHeDjJsZ+35iy1O0zV\nhkJ2fn4Z7/9gsbDdXJCMSZx6qp0dv5btNZkJe7+ygp9/5ci0BUBGq7xMpRwzV0arzqJhx+dy98Je\n3N8z78pqRaWr0p8FAfQGO0H//CSWJmNhzv3izydc33n0+Um3D/Rey6itAnD+ib9Ifx67bizx4CAt\nr31/3HVNz3wra9loT9Bgy0kGW7IHxZ7WM3haU7P63vYLeNtTE2bejia8HZnGgK/9InIyf4VXw944\nRvv0vT4Tsf6hJVx+u5eeC/Nbc2qRRRaZXxaU4WKylbN802Ocfvsf0OiMVNbfga14KRcOfR8pObuk\n1BVbP4Or4wQe18KX8Wv79n749n7UFj1F923AcdcaivatpWjf2nQbKRqnf/8Z+p4/OW1vweh+G//6\nM2ishrz0m0+0ZSN5AnFPEKSZ51kkAxOH0ox3befqOpx8so14JMk9v7dq6sbTYNun6tj2qToO/PMV\nTj09M5nkRabm8I+vISVlbv/18Wv8TIeSBgu/89I+fvblIwy0Ti+Pajzq7JuJSRF8sV4KDdV0+s5S\nbduIJ9qFTVdGf/g6JcaldPqnP0s+7n62F/PIX2zMqQ+A08908PY/5fZsLb13NdFuL7o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RThhI++WDs5umIgmfe5ynIdbdEz9EVbCatBTJKNbLmQYkMNOsGAhkpYDWAWL321eQ2NmKak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\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DP/oNhd/5EqJtajECgiRhXbEI64pFo8dMLU4iEMCMxTFjevK7oCoIqgVBVREVy6yrF06F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\nF4FAIBAIBAKBQDDv+f/NAwx0FT7qXQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932cbb1f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_corpus(\"Death Metal/Grindcore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Death/Progressive Metal: The Most Acclaimed Genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FiUdR4hHigREGDu6a8hnZyp6N/AB9+15GNlspX5qhwrYkIZutWMxWLOU1lC/d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86VRtI9957zOyKsvCkLK9ZnYc8mPT56sScmzlU4aDNFAScny6/JwNUP5kIsiUxXQpVGYdmV6cgr\nkaS840IQwE0hOC1fvduPd5/rjupe2cViUGLSZ5K+/JoMXH5nduT9Fopx3Q/ysPLmDLz9TDeO7Awv\n3j8SCiukuPZ7eZgyN7DC32hMmiLFpCkFWHtnNj56SYd9m/UJ26krKJPi2u/lonK+Mib9SWQCTF+i\nwvQlKlz7UB5a62zYt2UI1V8a4lIUd6zbn2xccXdckr8LysPDM7YRUGKklc8HbRxI+L15xyVO6Npp\nHN9rwozzAifqL7o0fMeFIIDpS1S46PoMVC2IzcTA731I4PzL0zB9iRIbHm/D6aPhFymKFG2W78q+\nWELiricnBRU+CIfje1Lfabnx0QIsG8Vp+eI/ffjghZ6o7ycgCeRNlqCtzhOmIpaQuP2XRZh74ejq\nIqGgyRDh/v8txpdv9eH9v0Vvrz9IAYHL7srGpbdlQUCOpp0fGup0Crc/VoiFqzR49cl2mIfiN1EW\nCAhc/WAuLr4+E0Qc9R6Lq2QorpKhYrYCGx5vjWnfAgGBx16tGLP2pwJud7xDxZyjn8TDw8NzDqSQ\nQnr5AgCAungGhBIZOvd8kHg7En7HCcS+zUNBjxeUSaHJCBx+4w+BkMDNPyuIq9MyEnU6he//aTJK\nZ8oTcj8A0GR6vyYypQA/eHZyzJwWADi2J/4r/5FCEMCNPy7ABeuCOy2bXu+NidMyTEGZp4AeJSbx\n4B9LYua0jOSSm2KnUT8SiVyAB58uxto7smPmtIykcr4Sj71WjtwS/0UGo4USEXjg6WKsWB9fp2Uk\nuz4eHP2kMBgew1i1P1VgmPg6FnyoGA8PTyQQpAAZVecha+bFIEgS7bvehVl3OuF28I5LHDm+xwSH\nPXh8/NRF4TkgbheH7e8kdmtOLCFxz28mQZUWnpMVKSN3XCgRgYf+WILJ02PnOOl7neg6nbrhEusf\nyccFVwV3Wj7ZoMMnG3QxvW9huafC9x2/KAxaSDValqxNi2l/EpkAP3x2MqYtjp1j6w9NhgiP/K0U\n+WWxd15uf6wo7vaPZKDbGfNQyUSOIR72TxT45HweHp5IYJwO1L3/fzjx36fQ+NnfQ074jzV8qFgc\ncdIsmg5bMH1J4B/z8jkK7PlMH1a/Oz8axJo7siCRBc9rcdgYdDY50N5gg17ngs3MwGxwQ64UQJkm\nRHGlDKWz5dAESboeRp1O4aoHchJSf2bkjsttPy8a1Wnp66Rh0rthMTKwmtwQi0nIlCSyCiV+ZamP\n703dCc+Nj+Rj+dUZQc95/4UefPmfEKrghklBuRTnXZaGeRf7F5UwDLpwqsaCziYHBnVO0HYWQiEB\nuUqA9DwRKuYoUDJNBoEg+I7H9T/Mw4l9Zpj0rpjY/eAfi1FcJRv1PIvJjcbDVrSesMFi8Dwv4ACF\nRgCFRoiSaTJUzFEEzRdTqIR46A8lePqeJhgHY2P/otVazF8ZWMhjGNrh+T45vNMEm5mB0+FZFJEp\nBJAqBdBmUsgvlSC/VAJtVnCBjp0fD8Y0ZyeUMQzb39XsQH+XM6oxxNr+ZNPZsSth92JZF8AxABGb\nvEgeHh6eRMI7LnGm8Yg1qOMyvModDnYLg10fDWLlOWE3HAs0n7Di6C4Tju42hiT9SwoIzF6mxto7\ns5FfGnwlefGladj8zz70d8V3xU6b6ZmwLL8mw68yG8cCtV8bcGSnEQ011qAT4Kr5SkxbosSM81XI\nKvBUij22JzUrB6//UT6WXxPcaXn3uW589W7kgg7BKJ0hR+kMXyex6agVm/7Zi/pqM7hRBLY0mSKs\nvi0Ty65KBxkgZEsqF2DVLZnY+Hx0ggLDlM8KvjvUfNyKzW/04cRe06ifB4IEnvh3JXKKfKsKD6PN\nEuGuJ4vw7PdPRz15FggIrLs3J+g5fZ00Nv2zFzXbDHC7QruhUitE1QIlqhYqUbVA4aUIxzAc9oa5\nWBKM0cYQif3A2TFc81BuXO1PBdrbQ5NKjRVuhoZQOLqzzzNxyL7zDognTQrrmoGN78N2PDnSy5LJ\nJdCsWAFhZgZYBw3HqVMwfLkVLM3vKI53eMclzrSeCJ5omVMiBiXy1MEIh23vDOKiGzIhEBDoaaOx\n+6NB7P9iCJYwFcBYhkPt1wYc22vCTY/mY8mawGE8BAksXZcW07wKf2iyhcgqFOPqB3N9jtXuMOLT\nV3ToaQkt1Kuu2oy6ajM2Pt+NyTPkWLxGi1M18SvuFik3PJyPC68N7LRwHPD2M5345sPExvW7XBye\nebAp5PMN/U68/acuHN9nxt1PTvKSuB3J+Vek4ZMNOtCO6KSGZy0LnIfjdnP475+6wsqF4FjgN7c1\n4IaH84LufFXMVmD5tRn4emN0YZvTlqiC7iyc2GfChsfbQI8Scnou5iE3DnwxhANfDIEggLJZCixc\npcHcizSor7bEVGQg2BgitR84O4aDXw7F1f6JiNXSB7E4MXmSPDyxRqjRIPOWm0EIPLuGpEgExfx5\nIIRCDH74UZKt44k3vOMSZ04dssBqdkOu9P9SC0hPDZaT+8MLXzL0O/G95b6VTyPFRbN447cd+OBv\nPXjqvaqAdS9W3ZyFrW/1x3XiIFcK8eRblWf+ZlgOL/5PK45HuVPSfMyK5mOJU0cLhet+kIcVN2QG\nPM6yHN74bQf2fx5c6CEe/POpduzfEtl9j+8x4UeXHMOdTxRh4bc1XUYikQlw46MFeP2pyIuwXnZn\nDi6/279U8xu/a8feTZHZzjIc3n6mC+88240f/600YKji+ofzIVcK8dlrkecaXXpr4Pc+VopxHAc0\nHrag8bAFb/6hM+r+ziXQGMaK/ROREyfeinmfopwc5Nx/b8jncywHMG649HowQwa4+gdAd3WBbmsF\na0/dHMTxittogtBmg0AiBeIgcBJLFPPnnXFaRiKfPQtDm7fwuy7jHN5xSQDG/sCOC4CwlcXiidng\nxt7P9EFDlgorpGE7WtHwycu6qJ2WRBJO+FAwp4VhObz2ZDtqthliYFV4HNlpithpGcnWt/r9Oi4A\nUBaFUp1EJsBFN/gXMKjdYYzYaRkJy3D4z/914pf/nBLwnKXrtNjyRm/Eld1VQfLLupvHxuQt0BjG\niv08yYEgCYCkIMrOBrKzIa30fM44lgXd3AJzTQ3s9Q3hfaHyRMzg+9/K2hIEqLQ0kHIZSJkMApkM\nksmTIZuenGKD/mDM/ucfrN3BOy0TAF5VLAGMloSsTiHHBfBMWoORkRs88TeWNNRY8MWbsU9Ejyeu\nEMOfrvt+XsBjbjeHVx5PjtPCscCHL8Ym/6Sj0Y6OJv8F9dJzRaMKTARi0Rqt38UAjgM2vRo7tbWu\nJgeajwfepdNkiDBlfuQKbH4WDccc42EMPKkDQZKQlJUic/0NyLnvHogL8pNt0sSC4+AaHATd3gF7\nfQMstYdgP514ydtg2BtOgXP7Rn1YamqSYA1ApaeBysgAlZEBUhw4P5InNvCOSwKwGpmgx0WS1NqW\nbT5uBcsGXuVSJdDR+uQfujG34Oawje64XPu9PKxY73+3xeXi8NJjrTi8I/FOCwCc2G+Cri12q1aB\nwvMIAkjPjexZWrza/y7Oyf2mmEtd7x2lHlOwIrOjYTUF/m4oKAtfuCMZBBrDWLGfJ3UR5eQg6667\noFy4INmm8KQQboMB/W++BWdXN1inE26jEcavd8C4/euE2yKQy5H7ve8h93sPIvd7D0I6tSrhNkw0\n+FCxBOAaRUmHCpBPkixoOwurkYFS6//xEIsT42i11dtw+mhq5aSEwmiOy7UP5WLljf6dFifN4sWf\nt6LuQPIkm/fFIERsJO31/ndcAE+YUbiORkauOKD88eFRdgsjoeVE8GdwyrzId1wGe1wBJ/iLLtVi\n8xu9sAVxblKBQGMYK/bzxBkO4FjfZ8BfjoI/CJKAdu0aAID5wMGYmsYzdnG0tEC34ZVkmwHJ5MlA\naq09j3t4xyUBuJ3BJ7Kp5rgAgNUc2HERihJj7+5PxqbkqcMaeKJ2zUO5PjLWw9AOFn//aQsaapOn\nesayXMzzl0xBhByk8vDjjKoWBnYU4lGjp6eFBu1gIZb4f+5ziiQQS8iIFNKajlowa5n/HRulVoi7\nnijCy79og5OOTn0tngQaw1ixnye+2E6cxMDGjb4HSBIkRUFcUgJRTjakU6sgyvL/3QgA2tWr4ezs\nAt0dmzBWHp5YICmdnGwTJhypN2MehwSJuvKQgqFQweRLiQStLjSNwd0WALBb/b92Vz+Qi0sCOC0O\nG4O//rg5qU4LAHQ1O2C3xHaFPJgjR4nCf5gq5/uXcTX0O2Hoc4bd32iwDAd9b+A8NYIEcooji2s+\n8o0paG2caYtVePSlMpRMTd2aG8HGMBbs50kSLAuWpmGvr4fx6x3QvfAiel99DU5dgBw1koD2srWJ\ntZGHZxTEk0uSbcKEg3dcEsBokzMXvxrpg83CQNc6NlWJHDbfifoV9+Rg1S3+nRa7lcFfftSMpiPJ\nd9TaGwKHdUUKHSR0jhSE77gUVvgPrertiL3TMoxjFGdutEr1gejvonFkd/DwtsIyKX76cjke+H1J\nQGnmZDLaGFLdfp7UgW7vQO8rr8JxutnvcVF+HsTFxYk1iocnAFRGBoSqyHMceSKDd1wSAEUFf5l5\nx8WXjlP2MZeUP8y5OwwXXJWOtXf4rzdiNbvx3A9Po2WUQqWJor8jtaUkxRISGXn+nYT+zvjZbg+y\nawQAqrTIo24/+Ft3SGFmM5eq8JMXy7BotTblwktDGcOw/T/dUJ6SY+BJDTi3GwPvvAvG5n8RRZ5C\nsrw8Exs+TCw58DkuCUAiD/4D7aTjN0PXZImQWySGNoeCJoNCVqEYYpkAIgkBkZgEJSYhEhOgxCQo\nEQGRxNMmFCY32yyY2lIq43JxcI8QY5h5vhrrHwks5/ns95vRGUAuOBnoe+O3axELMgpEAUMVl16Z\njqVX+q/tEm+oAPkvodDXSeOdZ7tw2/8UhnT+d35ZhBt+yODAF0PYu0kfl12ycAlnDCVVMpSk4Bh4\nUgeWpmHZswfqlSt8jolL+NAcntRAMpl3XJIB77gkgGBF5oDR67yECkECxZUyTF2iQukMGYqrZBEl\nP6cCNlPghO5UZuRuS0mVDHc9WQQyQBVik96VUk4LAFhGke5ONprMxNUQCgcqSsGKPZ/qQYlIXP9w\nHgQhVK2WKQW48NoMXHhtBrqbHdi7ZQj7N+thDiKEEG+Gx3BjEEd9JKk4hmQhFJ7NkWJZBiw78V6D\nc7E3Nvp1XKi0NBBCod86Hjw8iYIgSYiLJyXbjAkJ77gkAFVacOfBMBDdF3BGrhjLrkrDotVaqEdx\nksYKo4XmpCqObxPzswrEeOCPJQGVqACATPKulj+C5aOkAuooQrLiSQi+xqjseH8AHY123PHLImTl\nh+6g5U2W4NoHc3HVfTk48o0JX783gMbDyRF52PH+AC5enxmW/UBqjSEZLFz0yJl/t7ftQGfnnrjd\nS6UqQHnFOq+2o0dehcuVWosozt4+cC4XCOqc3zQCEKpUcOmjV50U5eRAWl4GUVERhGnpEChkICkR\nOI4F63CAMRhh2rsPjsbGuFZkF2VnQ1SQDyonF6KcbAgUcpASKQixGJzbBc7pBEs7wQwZ4OzVwaXr\nhb2xEaxjbOaBjnkIApKKCr7YZJJIzVnAOEIsIaFOD/4jbuyPbMdFlUbhyvtysHiNNqRV2rGE2zk2\nE1wcNgYKjRAPPTMZSk3wj5dCJYRELgiqupVoGHdqOy5i6fjOi2g+ZsVTtzfgkhszccmtWZCEMV6B\ngMDci9SYe5Ea7afs+OLNPtRuNwRVLYsHkdoP+B9DzbbkFGIdrzhdNojF3gnFcnk2DIbW5BgUBMZm\ng1Ct9mknRFHsvBIEZNOmQXXB0oDyywQEEMjlEMjlyLjuGnAuFyyHj8D0zU4w5thIrosLCiCbPg3S\nKVMg1GoCmysSASIRBApPhXZJmSc8iWMY2OsbYNq5K7AS2xhGc9GFUC2/IKxrLNU10H/6WUztIMVi\nUNnZEGVng8rJhignB1RWpq9D/S3p665E+rorw7pH5+//ENQJLfr1Ez5t1qPHMPj+B2HdJxjSykpk\n3niDT7v5YDWGPtsUs/vEAt5xiTM5JZKg8sEc51HlCZf5KzW46dECyBRjMxRsvMJxwIN/KAl5xfm7\nT9c8j8wAACAASURBVBbhhZ+1gmVSw1HzUycupZgICd0umsWm13ux86NBrLo1C0vXpYftABRVSPHd\nJyeh+45sfPSyDkd3GeNkrS+xsB84OwYXzSXU/vGOk/adeMtS1HHhnLEJox6GStMi7ap1EBcVhXUd\nQVFQLpgP+ayZMGz5Apba2ohtkM+aCeWiRRDl5UbcB+Ap4CmbNhXSqip0/OYpjFk1mxRFvfR8yOfN\nhVCjTXqBSWdfP0RZ3kWrZVOrMLRpc8x23eQzZ/htt9Yeikn/sYR3XOJMfqkk6PH+bmfQmin+uOKe\nnIAqVcGgHSyaDltg1LthNzOwW1nQdga0jQVtZ+F0sKBtLBx2Bg/8viRgAUqewBQFkOoNxLTFKlzz\nYC42Ps8XVQuFSOSTxypmgxvv/bUbW97owwVXp+OCq9OgyQg/BOuB3xfj5H4T3vxjF/S6xIkvxMJ+\nAEmzf7zCsi4wDA2B4GyYi0IeuPBjMiFl/r9PI5msiUuKkXnDDSClwX+Tg9ojEiHtystB5eZiaNOm\niJyF9HXrYhNb+i0ESUC7+lIMbd4Ssz55AConF0KtNtlmAACs1dUQrV3j1UYIhZDPmgnz/gNR909K\nJJBOqfBpd+p0cPb0RN1/rOFnpnGmYk7gKt8Awk7OXn1bdshOi2HQhaO7TGiosaC9zo6BntB3dhgm\ntUOGxhosywVM0l+xPhPdLQ7s+TT6mO3xjssZ+Lnc+nY/Tu6LTRhHuPR1xm9CbTW5sfn1Xnzx7z7M\nWq7Gd5+cFHYR2KmLVHj8DTne+G0nDu1IbOjVufYvvTINlfOUYY0hmfaPR1xOKwTSs46LWJIaE7SR\nEEIhSKmv48KxLBhLePlP4uJJyLrlZhDCwFMexmIBYzaDddAgRSKQCrnfMDUAUC6YB45xw7Dl87Ds\nAADbyTrIpk8Neg5jtoCxWcHZHYCABCmTgUpLD7jyr1y0EM7ubliPHA3bnlSFsVjBmM0gZTIQgokd\nWWI9chSaS1b6hKfJ582NieMimzbV72ucirstAO+4xJ0pc4MXXGsNo35HxVwFrrwnZ9TzWk7YsOn1\nXpzYF7wqN09iOLrLhP8+24Vbf1aAqgX+q77f/JMC9Hc6J1RCciQEq3lk1LtRV50cxyURMAyH2q8M\neKLOjiWXa7H4Ui3SckLfwZDIBLjnqUl4+xkBvvlwMI6W+mfY/tqvDMjIFYc9hmTbP55wM96LWJQw\n8l2IeCEqLARB+oYYunS9YSmKCTUaZK5f79dpcZtMMO/dB3t9PdxDvg6xQKlE9t13QqjxzUFRLV4E\nZ3s7bCfrQrYFAEy7d/s4Ls6+fjgaTsHR0gKnTgfW5jsvIMViSCunQLVsKaiMDF97li+H7dhxcOz4\n+NE3HzwI88GDADxjJ6VSCGQyEDIZxPl5UF90YVzvbz1+DC5d4N0GYVaW3/Aq28k6uLrDi6AY7Xlm\naRrWo8egmDfXq12UlQVxQQHozs6w7ncu8lkzfW1iGFiPHYuq33jBOy5xpGSabFT51roDoU20BAIC\nNz6SD2KUUPGPN+iw5Y1ePtw1BTDpXXjnue4zycWvPNGGn7xUjpwiXyUSgYDAvb+dhKe/2xTWzthE\nI1h9H6V6YqzKDfTQ+GSDDp/+Q4eqBUosW5eOmUtVAXf0RkIQwPpH8tHbTqOhNnlOcqRjSBX7xzoM\n4507IhCmnjqSfJr/XQlHc3PonRAEMq67xm94mKX2EIY2bQ46aWTMZvT89QWkrbsS8hnTfY6nrbsS\ndEdnWAn7zp4eOJpbQGVnwVp7GJbaWriHhka9jqVpWI8che3ESaRftQ6ycwpxUmlaSKZUwF5XH7It\nYwWWpsHSNNwGz2+pS6eLu+Nir2+AHQ0Bj0urKv06LvbGRlgPHY65PZaD1T6OC+DZdYnGcRFqNBAX\n+uZ82erqwNpTU7Vu/Ge6JpGFq4JvvxsHXeg6HVqo2KwL1MgtDr4q9tYzndj8emycFiLcWBQeL/Zs\n0uPJWxu8FJFsZgZ//2kLrGb/P5QKtRAP/qEYEtnEmIBHwlBf4GRduWpircNwLHByvxkvPdaKx2+o\nx7b/9o9avR4ASJLAXb8uSonnLJIxpJL9YxWO814AEArDy82LN1R6OuRz5/g9Zj0UeviKYs4ciAoK\nfNrNBw5C//EnIe3ccG43Bt97H/bGJp9jpFgM5ZLFIdszzOD7H6D7T8/CsG1bSE6Ljz0ffAhnt+9u\ngIQvzjlucep0cHb57uTIp0+LSpZZPmum3xBES01qhokBvOMSN6QKARatDu64HNttCtnJWLJ2lL72\nmPDNB7ELn5Ap+UlBpHz0kg7/+l0HbH52B/o6abz8izYwAVTEckskuPvJolF31iYqel1gxyWzMDWL\nUyYCvc6Jjc934/Hr67DjgwGwbPAvFlUahQuv8w03SSbhjCEV7R9LCASp+1kRKBTIuOVmv2Fi1uPH\n4RoMLReQEAigWr7Mp92p00WUm6L/6GNwjO93umL+PL+5OMFgLBa/fYUKxzAwfLXdp11cVBhxnzyp\nj6W6xqeNoCjIZvhXBAsFmZ9dI/fQEOjW1oj7jDf89CgOqNMpPLWxKmjV+p5WB978Q2jbe3mTJZi+\nRBXwuK6Dxgs/bQnbzkBk5oujrgQ+kTEbgkt4nqq14HvLj2Lbf/v9Hp++RIUXvpmFJWvT4mHemMbQ\n78TJg/7DMipmK1AYpqrbeMM85Mbbz3ThoQuO4smb62EzB54crbs3BwVlqfd6nTuGQKSq/amOUpkH\npTLfq412hLfqHwsIioJALod8xnRo16xG/o8fQdGvn0D+o4+ASvNeqOMYBr2v/hODG98Puf+M9Tf4\nJNczVit0L22IKA+EsVj83p8UiaBdszrs/qLF0dQEe8MprzZRVjbCVu7gGTNYDh3ym4yfdvlaiCOQ\n19auXQMqPd27keXQ+9rrKS2vPbFiKxLE9T/MG7W+yta3/E9a/ZGRF3wbsOW4NeS+QmHyDFlM++Px\nz3t/68aK9ZkBj9/80wL0d9FoOhLb93es01hrxdQAIgdT5ivRcSq1KoAnC107jY9e6sFNj/qGygxT\nMk0WtrJhItG1B8/3SnX7Uw2CIFA06UKfdqu1L273lE2fiqLpvgX0QoW12dH/7kbQ7e0hX0MIhZCU\nTvZptzecimpC5uzu8tsuLi6OuM9ocJtM3g0kAVIkAkvzeZLjFcvBaigXLfRpl8+bB7r705D7IUjS\nJ08KAOynT4M597lKMfhl9Riz/JoMzLs4cBVcAOjrcmL/ltBXuKSK4G+TaTB0hZVQqJgbXMKZJzZw\nLNDTEjj5TSgkcO9vi8NSjpoIHN0duBjh0ivS+AXHEezfMhRUQlqV5r/6cyox1u1PFShKioopV0Gt\nnuRzzGTyPyFPNo7mZug2bADdEl5Egaiw0K+8qyvKmhRukxnw4/cIVUpPhfsEw/mrZ8N/AY5rXAMD\noFvbfNplM6aH9QxKyssgkPkuUltSVAJ5JPyOS4y5/od5o57z6YaegDkOfhnlVIc1dvKHlJjE9MX+\nV7N5Ys8LP23FTzeUQanx/1FUaoR48OkS/PH+xrALlY5Xupsd6GmjkTvJdycyu1CMynnKcS2LHA60\ng8WgzuVXyQ4ApMrUX7say/YLhWKkpU8J6xqFIgdZ2b7ypJFCUXIoFNnQastAkn4cPY6FXn/Ktz2J\nOLt7YNq1K2yp4WHEuf7LBrgGo8wD5TiwTtpvMrRAJoPbmeACqeNE+pgnPMzV1RAXey9AkCIR5NOn\nw1JbG1If8pm+3zGMzQbHqdT6LvAH77jEkNnLNRCMUtn7+F4TDm4Nr4CaJYgELBDbH++lV6Txq5gJ\nZKCHxkuPteLhv5RCKPT/7OSXSnDXrybhxcda+Lo837Lrw8GAiwRX3JODhkMWsOEsDoxjhFTg76Rg\ndXFShbFsP0UpUFZ2WVjXpKVPCdvZiYZB/SnQdOqEhhi+3ArT7j1R9SE8N27/W7Juvy2qfoNBSlKv\nFg7P+MReVw/GaoVA7l0nUDFvbkiOCykWQzqlwqfdeuhwVKIRiYJ3XGIAKSBwxXezcemtwSva260M\n3vxj+FvyVkPwULCM/Nho8EvkAqy6JXDOBU98OH3Uiv/8oQO3P+arpT7MzKUqXHVfLj74e3ShDuOF\nvZv1uOzubL+5ZCXTZFh9axY2vd6bBMtSC7GEhCYz8EKEMcZhpvFgrNufyjCMA60tX8X3JhzAsQEm\nQwThox4mnzsH5n37o5pABap4H0+IKB0XgiQhTE8HlZ0FUWYmCJkMAqkMpEwCUiwFKCEIoRAkRYEQ\nCkFQQhACfgo3EeEYBtbaw1AtO9+rXZSfB1FODpw6XdDrZdOm+i3IGo/6M/GAf+qjZMpcBa77Qd6o\n6jYsy+HVJ9th6At/K3mgxwmOCxy6Wj5LDlJARLXCTBDAXb8qGrVgJk982LtpCDmTJFh1S1bAc1bd\nkoXuFkdY+VHjFbuFwef/7sPV9/tXUll7VzbaTtlxYm/qrCQngzkXqQPu5AFA9+nULDA2krFsPwcO\nnljf1Ms74Dg3TjV8DJoOnDMWC2wnTmJg40a/xwiBAIWP/8KrjUpPh+q8JTDu3BXxPUlpEgRmIniL\nSZkMssopkE6tgqSkxG9eDg+PPyw1NVAtPd/nuZPPmwvnZ5uCXusvTIxu74BrYCCWJsaN1A4QTlEE\nAgJzlmvwo7+W4uG/lIYkyfne8z04vieySZTF4A5aqFKpEWL+iuCCAMEgSOC6H+RhxnmBJZd54s+H\nL/bgyM7gz8gtPyvE5OnyoOdMFLa/O4DeDv/qOQIBgQeeLsZ5l8VHUrqgTIrrfjB6PlswFq/RYu7F\nmqChUNGg1AqxLoBjB3jyX5qjVCRMxBgCEQv7443Drkf1wefReOpj9PcdhZNOjdwrh2MIx47+C0ND\np5NqR6BdFdUFyyDURP6bBiq112RJqRSaVZcg/8c/QtqVV0BaVsY7LTxh4TYYYD/tWxRVPnMGCCp4\nuL94kq9AhyWMwq7JJrU/3SkCQQI5kyQorpKicr4S05eowirQ+MkGHb56N3T5Y3801FiCOkjXPJSL\nU4esMPSHt6MjUwlw1xNFmLaYd1qSDccBrz3ZhkdfLAv4XlMUgft+NwlP39sEvS7BiaAphotm8fpv\n2vHTl8v9HheQBG77eSEq5yvx6T906OuMTiI0p0iMaUtUWLRGi8Jv35+Nf/GtZBwqxVUyLL8mAxaT\nGwc+H8L+LUPoOGWPiXx+dpEY9z5VDE164B+w6q0GuF3R3czfGNobYiNPPDyGQMTC/kTgdFrR338C\n/f0nAABSaTo0mhJoNMVQqSclrBgky7pgMnWiv/8YBvrrwKVIwpyjuRmSyd7SxQRFQXPpKgz8952I\n+iQChCc4WloBJj7j5uyhPfeS0lJkXH9tdDkxHMC6nCBI0m/ID8/EwHKwGtKyMq82UiyGbNo0WA8H\nCfs65+PBOp2wnTgZBwvjw4R/4pesTUPprLMr2AQAoYiESExCrhJAm01Bm0VFVJCRY4H/PteFHe9F\nv/22+1M9Lr4+M2BFdXU6hR89PxmvPNEWUh0LsYTE0nXpuOTmTKiDTG54EgvtYPHCz1rxs5fLAr4v\nqjQKD/y+GP93fxNoR2pMPpJFy0nbqOcsuESDuSvUqN5qwLHdJjTUWGAZJW9MrhIiu0iMnGIxKuYo\nMGW+IqgTEA0KlRAXX5+Ji6/PhHHQhbqDFpzcZ8KpQ1YYB4MXMz2X3BIJll+TjiVr0yASB/7OYhgO\nW/8Tu9odI8ewb8tQxPYDoY0h1vYnErt9EHb7IHp6qkEQJLTaMlRWXXvmeH//cQwONsTsfm6XDS6X\nHQ7HUMo4KyMxfP4Fcu67DyC9Z1OyqkpISkvhOB3+rhDn9v/c6T/6GG5DeOI4sSbzlptBkIF3KBmr\nFXRrG9wDA3ANDIKxWsHabGAdDnBOJ1iXC5zLMz7tmtV+a3rwTAzspxrhNhp9croU8+YEd1zOwXbs\nOLhEK+JFwYR3XKbMU2DKvNjXLTEOuvDa/2tHQ40lJv31tDhQu92AeUFCwrIKxPifV8pxdJcJ1dsM\naD1hh6HfCYbhQBCAVCnArKVqTJmnwLQlSihU/t/+9lN2bHm9D/f+1nc7kSf+DPU68dLPW/Gjv5YG\ndJgLyqT4zhNFePkXralc4DYhbHunHytuCC4qISAJLFqlxaJVWnAc0NtJw6x3wWpkYDUxEFIExDIB\nxFICheVSKNTJ+WpUp1NYvFqLxas9lcMtJje6mx3oPu3AYK8LDgsDfZ8LJAmIJCQkMhLpuSJk5YtR\nNksWco7al2/2jVrcMVJGs99uZWC3slGNIZ72JxKOYzE01AiWdYMkPc+c3TYI/WDqS5LGCmdvH8w1\nNVAumO9zTLt2DXQv/D3sRH0uQAFGgUyaVMdFlJXl12nhWA62o0dhOXAAdI8upauW86QQHAdrTS3U\nF1/k1SwuLASVlQlXn2+kjzjPN3zYOgZqt4xkwjsu8aB2uxFvP9MJ8yiruuHy8QYdpi5WQioPHKZG\nkgRmX6DG7AvOeuC0gwUlIkAGWeUZZqDHiRd+0gK7hYHbzQVNjOWJHy0nbfjX7zpw168DO4+zL1Dj\nynty8NHLwRVExjsb/9INxs1h1c2BhQ1GQhBATqEYOYWxUeOLJwqVEBWzFaiYHbvFlbqDZnz6j8Qo\nro11+xMBx3Gw2fqgUESXMzWWMW7/GvLp00FKvcOnqPS0iBL13SYz/H26CXly8wPT1l3h08aYLRh4\n+23QXZGHnfJMXCy1h6C6cLmPOp9i7lwMbfnc53zZOYn5zr5+0F2pWYA2EHxyfox55qEmbHi8NeZO\nCwD0ddJ45Yk2sGx4qzFiCRmS06Jrp/HMQ6dhHHTBSbNoDSEMhyd+HNxqGFXSd/Xt2Vi4Spsgi1KX\nD17owX/+2Bm0yjoPcPKgGS/9vDW8ArgpxFi3PxBW69gMe4sVrM0G444dfo9Fkqjv1uv9totz/Bem\nTARUViZE+flebRzLYuCttyJ2WkZLwuYZ/zAWC+x19T7tspkzfQUfSBKyGdO9mqwhFqxMJXjHJQaw\nLIdD3xjx5++fRtOR+KrcnNxvxhu/64j5BK2hxoJnHmzykmuuj1GYG0/kfPqKDrXbg8uV3vo/BSiZ\nmgT5zxRj50eDePreRrTVJ8bhDncBIZm4XBw2vd6Lvz3aMibzosa6/aNhtYyfHaRIsRw46LeyPUFR\n0K5eFVZfzm7/joCosCAi22KBbOpUnzbb0WOguyOvzSWQ89/7PIClusanTSCTQlLhXWRSUlLsVbSS\nYxhYjx6Lt3kxhw8VixCHjUFDjRVHdxlxbLcpLjssgdi/ZQjdpx347lPFyMqPTpGGdrDY8nofPn+z\n16cqe2OtBbgzeFFNnvjCccDrT7UjPa8Mk6YEUBoTkbjvf4vx+3uaIqoTNJ7oanLg6XsbsWRNGtbc\nkY2MvNgrNvV10tjzqR77NkdXT+fr9weg0Agx+0I1BCHsiEbKsT0mvPtcN/q7Yp8TkogxxNP+VMFm\nm9g7LoBn92Foy+fIuuVmn2PSykpIysrgaPKVf/UH3dYOjuV88knEkyaBEImSkogsTPOVZrfV+66U\nh9VnRkZU1/OMDxwtLXANDoJKT/dqV8yeBXtd3Zm/z91tsdc1gLWNvcga3nHxA8tycNIcXDQLp4OF\nccAFvc4FfZ8TPS0OtNbZ0NtO+0z0E0lHox1P3VaPhZdqsfLmrLDj9c0Gj3zpl//pD6j803zcCifN\nBlUn4ok/TprFiz9rwc/+UR5Q2UqdTuHBp4vxzAO80hjHAns+02PvZj1mLdNg0aUaTF2kjPg5ZlgO\nbSdtqK+x4MQ+M5qPxWZXVdfqCf1Uaj11mKafr0LpDDnEkug/bwM9Thz8YggHvhyCrjV+E35/Y5i6\nQBmTvofH8PGG8Z/DZbP1I1ULVSYSR2MTHE2nISkr9TmmXbMGur//HZx79EVClqZBt7ZCMrnEq50U\niyGfMR2WmsSHxwgUvnleTBRCAUK1ymeiypNAAghGEIGkX+OMtboGmku9dyYl5WUgJRKwDgcIkoSs\nYorXccuhsRcmBkwQx2X3J3rs/sR/zOtYxuXksPsTPfZ8qkdRpQzls+Uom6lARp4IcjUJuUoIUkjA\n5WBB21kY+l04/I0Jp49a0XzMOmqcuNvF4Ycr4reNSNtZPLD0SNz6jxcWgzvhdhsGXPj5uuh11vd/\nPoT9n0e3UxAuHY32pLzPHAsc3mHA4R0GiCUkJk+Xo2S6DPmlUqTleGTOxVISIgkJlgVoOwPaxkLX\nRqO3nUZvB43eNhqtJ21w2MJTNQoH85Ab2zcOYPvGAQgEBPImS1BQLkV2kRgZuSKoMykotEJIZSQk\ncgFEYhIMw8FhY+CwsnBYGZgGXehscqCz0Y6OJntcnZXRxlBYLg1qv5DyCIWk2hiSidtNw+EwQiKJ\noujiOGFoy+fIefABn90SKl0L1fnnwbjjm5D6sR467OO4AIDyvPNgPXrsjKRwwvBTW4ZzR/69opg7\nNxpreKKEdfj/fiJloxckjweWw4ehXrnCK6+FIElIKythPXwY4uJJXra5jUY4mluSYWrUTAjHZbzD\ncUBbnQ1tdTZsfSu6Qpc8PMmAIAUovuFB2HVt0H39ccz7px0s6qrNqKuOb+XyzIUrkD5nKVrefRG0\nPvy8BYbh0NFoR0djbIo4JoOxbn+y6Os9Ark869vdl4mLa2AAloMH/dYnUS1bCuuRoyFJGttOnoR6\n5cU+NS6o9DRoVq7A0OYtMbM5FFirb0iOQK2GayD8Om8CpRKKJYtjYRZPhAQKsRLl+soNJwLW7oDt\n+HHIZ83yapdVToH18GFIz8l3sR46PGZlt/kYIB4enphScfdjqLzvV9DOXOLVLpTKUXnfr6Aun+l7\n0beLkcnaZufhSTadnXvQ0PAh9PrGZJuSdIzbvwZj83V+CaEQ2tWXhtQHxzAwbvvK7zHlooVQL78g\nKhsBT+iZQBVaaKRb7ys8IK0oD/uehEiEzJtuBCmKff4eT+i49XqwfnKlInlPY4XloG+SvrikGCBJ\nSMrLzjZygPXw2It2GYafJfDw8MQcjuUgyfReeZJkBq5TwTEMWt5+Hj3bP4y3aVGhnbkYypKqZJvB\nwzOuYR0OmLZv93tMWjnFexIWBOvRY7Cf8u8Iqi+6EBnXXwehNrzwPEIkgqS8DOnXXoP8Rx+BpNQ3\nH8cfdj9hOYq5c0BlBS+eOxIqTYvs79wBkZ8igjyJhWNZODs6fdoJivIbFpgI6M5OOHXeOYGkWAxp\naalXPpTjdHNSC7FGCx8qxsPDE3McA92QZHg7KpKMPLht8ZULjzeaqQtgrPNd1eLh4Ykt5ppayBcs\ngMjPxF67Zg10LaEl6g9++BGy774bVLpvvSvZtKmQVlXCXlcPx+lm0O3tYKxWsA4HAIAUiUBlZkCY\nkQEqPQPiokKICgt8iv2FgrO9He4hg5ejRFAUsu64HfpPPoO9oSFg6I5Qo4Fi4QIo5s/z2mlhLBa/\nSf8RQRAgRSKQEjEEajUIsRjkt/9JSnxzhQDP7gIpFoGlnWBpBzjaCY52eP622z07ElGEIxEU5bFB\nIgEpFoEQS0BKxKCy/BcbFuXmQLlgAdhhG2gHOAd95m+OpsEFSKqPBOuRI5CUTvZpz7r9Nhi3bgta\n2JGgKAhVSpByOej2jpjZZKmuQdrll3m1nRt2aakd279hvOPCw8MTcyxt9chccDFkuZNg62kDAKin\nzoPh5EGv89LnLEXmwhVnr2tvROfm//jtk6RESJuxBMqy6aCUKoDj4LKa0fnZv+GynK11oyieAnX5\nTIgz80DJVWBdTjj6uzFY+80ZWwBPPoqmah6a334OmQtXQlFSBZISoW/vFzCcrIFH5QlIm30+1OUz\nIdJkgiAJZC2+BFmLLznTz+ChXeg/sM3LVkIoRM6yy6AoqQJjt2LoxEGvPgEga8kqKCdPxek3n4Vm\n6nxoZyyGSKUBQztgrD/k1ScppJA2+3woy2ZAIJbA2tmMweqv4DSeFVrIXLQS6orZaHnnr8hcvArK\n4koQFAVHXzf6D2yFXef5cRSIJSi99RHYult9XmtlSRXyV92A3j2fY+jYPr/vAw9PQmBZ6F74OzJv\nWg/pFG81JCpNi4L/+Sl6/vrCqCvHrM2Gnuefh0ClROb69RDley+oECQJ2bSpkE3zrbMSSziWRfdz\nf0HRr5/wahfI5ci88Yaw+nL1D6DvX/8CYzIj69Zb/KqwhYJQo0Hewz+I6FoAkM+cAfnMGaOeN7Dx\nfdiOHw+pz9zvPxSxWpooP9+nyGcgLNU10H/6WUT3GcZ69BjcAwPIuutOEMKz02lJSTEk99wdUh9u\noxHdf34uKjtGYqmuAZWdA+WCeWftOef5sJ2sO/eyMQUfKsbDwxNzODcD2qCH+NtwMaFUAUquhGPA\nu9iaoa4WrR/+wzOBHmVlLvfCdUiftxx2XRv6D2yH/vBeOIf6wbq81V3SZi6BSJsFa2s9+vZ/CeOp\nw5Bm56NgzU2gFN6JugKJFIWX3w5pdiEMJ6sxeGgncpZdBk3l7DPn2HUdGKjZgYGarwEAxsaj6Pry\n3TP/mRp9lfdyL1x3pk+QAp8+hxHKlMhYcBHSZp8HS2s9+vdvg7XzNFiX48w5BClAwdpbkTFvOZz6\nXpgaj0JRWIpJV98LsTbznP7kKLz8dlAKFQaP7Ibh+AGI07NRdPkdZ0L3GNoBU+MxKArLIFJ6h8mo\np8wGx7IwNR4N+l7w8CQKw+dfgGN9Jd4JoRDaNatD7ocxmdH76mswfr0jpJ2aUGCdTjCm8AQ/rMdC\nm8AHwt7UhN5XXztzX8fp01H1xxMddHcP+v/7Dli7Y/STE4S1ujrZJsQVfseFh4cn9hAEHP1dZ/Ja\nJFl54FgOjv4eyPPPhh0wDhsYh0edZbSAAlnBZFi7TkP3zadBz+vc/JaPM+Po60LeimshLyyFoe4c\n7XoOaP3wFXCMZzKTPmcZ1FPmwFB/CABg17UDAKQ5RQAAerAX5ubg0tSc24W2j14Dx7hhOH4Qka6I\njgAAIABJREFUk2/5oVefwxAkCUVRGVrf+TtYt395Vs20+ZDlFqH/4DYM1u4CABiO7Ufx+oeQs/xK\ntH34D6/znQY9urdtPPO3qfkkiq/+LjLmX3Rmh2Xo+AFoquZCPXUe+vd7dnaEUjnkheWwtDWceU94\neJKNSz8E8959UJ1/ns8x6ZQKSMvLYW8MTdCAYxgYv94B66HDUCxeBMXs2SClkrDs4RgGdFs7bMeP\nw3r8RNjFLAffex+OpiaoL1wOodY3fC0QbqMRpq+/geWwtxqU43RzWPfniT2OxiboXnoZmktWQlpV\n5SPlnWicvb2gOzohLizwPRYkfG2swDsuPDw8ccHR1w3NtAUAAElGLmh9Dzgm8toJjr4uyPNLoJ25\nBKaGWjC0fx39c50WAHD0e76shefsuACeSfyw0wIATsMAKGXoEwp/jOzT7bAG7XOwdldApwUAVJOn\neaqKH91/1kazAebmk54QNqUGTvPZcBlTk/duiaOvC46BHsjyS0CQJDiWBa3vha2nDerKuWccF1XF\nLBAkAeOpwxGPm2fi4tTp0P7r/xeXvg1fboXhy60x689tNMLw+Rcwbt0GcXExJMXFEOXmQqDVQqCQ\ngaBEADhwtBNuvR6uwUG4BwZAd3aBbm+PesfGeuQorEePQVpeBklpKcQFBRColCClUhCkAKzbBdZq\ng9tggLO7G47TzXC0tPjdlXb29UX8ursNhri9Z5HS8/zfkm1CRLgNBgy8uxFCtRqaS1aCyskGKZOB\nFHuKg7MOB1iHA5zdDpd+CC5dL5y6Hjh74lNg11Jd7ddxsdQc8nP22IJ3XHh4eOKCvb8L2epLQVJi\nSDLzYNdFt9LTs/0jZC+7DNlLViFz4cWwtDbAcLIGtm5vtR6RJh3aqQsgzSmEUK4CKRKDEHi+6vzJ\nLTuN3jKlnNvtVcQrEsLp02nwlUkdCaVKg8tq9HFunAZP/QdKk+7luLjMRpyLy2yAJCMXAokMbpsF\nAGA4fgB5l1x/5hx1xSy47TZY23k53lSBIEhIZRkQUXIIhRIIhWLEI8JbpxubFbSjhWMYOE6fTk64\nFcfBfqoxoOoZz9jEbTRiYON7yTYD8CMgwblcsJ04kQRjYgvvuPDw8MQFekAHjuMgyciBJCMP5tPR\nxXa7bWZ0ff42xJoMqCtnQ1U+C6rSaWh4+TfgOE8MvDS7AIWX3w6GdsBwYj/owT64aTuEUjkKLr3R\nb79sHCpoh9Mnx4ayehsk9CAk1Z5vrx9xqrm1Hi6rCYBHqlqclgX9sX1+8wl4EgdJUsjKmob0jKlQ\nKvNAklTc7zlRHRcenvGKcuECnzbr8RNgA0QqjCV4x4XHL5VPXAVFVeC6G/5ofv5L6Pckb/VINb0A\n+esXQ1qgBWOjYTzUhtZXdiTNnlTD3+vT8Z99YGzx+SLjGDdofS8Uk8ohlCtg742N5CNtGEDfvq3o\nP7AdmYtXQlU+A8ZTnmJa2hmLQQoptH34KujBs1vwstzimNw7GTiNA5BmF4KkRGBdZ+PpRZoMAIDL\npPc6n1KqQet7vdpEKg1Yxu2Vu8KxLAwnayDWZkFd7qm2bKyPPEyMIElU3Ps4rB2n0fnZv4OeW3DZ\nrZAXepRuTr3y25glSwdDXlQOt9Xs9VykIvMXPAihUJZsM3jCZNp5Gnz3aW/1ptefaMbh7UMxOX+8\nEO24l16TBbeTxb5PB+Jh3rhAPGkSRLm+tX6sh8Z+mBjAOy484wRxphJlP1kLUuR5pEkJhYwV03jH\n5VsCvT6EUIiWF7eNcnXkOPq6oJ4yF267DU6TAQJxeImwwxAkCZCk1wSXYxmYTp+APK94xHmecCz3\ntzsJw6j9KHqFC/vtpP9cZbJ4Y2o8ClnuJGhnLMJg7U4AgEipgXLyVDj6u+E0ecvBqitmwdLWiOHt\nFUlWPsTpObC0N57ZmRrGWFcD7YzFnr4GenwcnvGCSK1FwdqbYaw/BN3XHyfbHL8QBImy8ssmnNNy\n9/+WYvrSwEUgX/xRIxqqTQGPh0NemQw/ea0KP115CC46tjuLbScteO0XpyFXU5i3Kg2ls4PXVwn3\n/PFCLMbtdkVeG2YicG7dFgBw9vXHtF5MMuEdF55xgWZeyZlJOY8vgV4f7eLJ8XVc+ruhmTof5tYG\nn2OEQACROgOkSAyBWAICgFCmgLywDKyLButwgDb0A/DIBpesfxCWtkY4DQNgHHYI5Qqoymei89M3\nzvRp7WiEsqQS+Suvg7HxKAihCMriKSBFYnBRFEIDAKdRD9qoh2bqPHAsA5fZAFIkhr23E7Yu36rY\nscJYfxiKkipkLrgYkoxcuMxDUFfMAccw6Nnxic/5ovQcFF1xO6ydpyEQS6CumgeOYTBQ7VuJ3G23\nQl05B0KpHIOHd8ZtDMlGlu9bJC7VKC6+CJmZ05NtRsLZ89EAOuptkKuFmLFMA22OCCd3G9HTaofN\nyKC3LXYys5ULVDHr61wsBjeOfuNZRMiaJB51Qh7u+eOFaMe96/2+eJg1bqDS0yGrrPRpt+zb7+fs\nscmEmunJijMw9X9DK/TEMSw4NwPG5oTLZIez3wx71xCsTb2w1HXDbR37cYLBoAfMkJjsECgkSZf2\nCwVK43+VUiAVgbGHJ1c5Hgn0+pBiKq6vkb3Xk5Dv6Ov0OSZSZ6Dk+vu92iQZuShcewsAz45Kw4an\nAAAMbYep8ThkecVQFlcCBAG3zQxbTzvoEcnthrpakGIJNFXzkXPBFWDsNphbTqL/4FeYdOWdUY2F\n41h0b3kLmUtWQV0xG6RIDLfNDJcpeAG8aOE4Fl1b3kba7POgqpgNWW4xrF3NGKze7jX2YXq2bYRm\n+iKkzTofpJCCva8L/Qe2wtHf46d3jwyyp3aLbz2a8YKsILICfYlCqy1Fbp7vKulEoG6fEXX7PIIS\nmiwK2hwRtr/Ti6ba8OqjhMKUhfFzXHh4UgH1yhXAOXM21maH9dj4+X6fUI5LOBACEoSABCmmQGnl\nkE3KgGa+p/4E52ZhPt6Jvm0nYKhpGb0AxRik5YVvV+EJQCgXQ6iUQqiUnPl/1YwCpJ1XnlwjR+Ay\nWP22806Lh4Cvj5WO+Wt06h+/O/NveqgP9S89efZ+tAPGb4sb0vper2PBYF1O6L7x3V3wh/7wHugP\n7/Fpb9n4otff/Qe2+VS8B4C2j14N2DdtGPCpNh9pn317v0Df3i8C9jUSjmUwWLvzTKhY0HNdLui2\nf4hwMjksrfVgaHsYV4wdCKEQsvziZJsRlILC8/0f4FgYDK0wW7pAO4xwux1gOSaxxqUY8y9Nxy2/\nLMZz9zdAqhBg5R25yC+TgiQIdJ224bn7673On7siDeety0R+uRQShSeU9A9b53ids/UNHT7b4Kt6\nqMkS4eGXKqHQCGEadOH4TgM+/2cPrMb452QFQpMlwqV35qFqseqMXc/cXRfUprkr0rDo8gwUVMgg\nkZOwGRn0ddE4tFXvtYMx/Nr+aFmNTx+/+WgWpEoBHr3YW8ghPU+MBavTMXWJGmm5YkjkJEyDLpw6\naMaWV7th6I/+96WoUo4fbTi7i/DuM+3Y82H/qNdcfHM2iqrkUKVTsJsZ6HudqNtnwO4PBmAe8gio\nSJVClM1WILdUiotvzsFAhwP/fKIZlJjEbb8qgSpdhL2f9OOzl1K//ols+jTIqnx3W0y7doOLgwhN\nsuAdlwgghCRUs4ugml0EW2s/2v/xDSxN4zM2HBzgttBwW2hg5IItx6WU42KobkX+jUtAivlH2h+B\nXp/+rWNfGpEneowNqVe7RZyWDeXkKqinLYBALAHHMmAcNtADOpibTsDUdByBVo20s5ZAkpELSXo2\nKE3mmV1jdeUcqCvn+Jw/mkCAUCqHZsYiKIrKIFRpQQpEcDuscPR1ofvzdwLaEQpKZS6Uynyf9r6+\no2hv2wGn0xJx3+OZC2/MwqzlWjQfs+Dg5kGk54lQtUiNinkqnKo5mxNjNblRd8CIugNGXLQ+G3KN\nEJtf6QbDnH3PWo75LuzkFEvwveenoOOUDfoeJ/JKpVh2XRaqFqvx7P31SXFehm2Sq4WoP2g6Y9fD\nL1b6tYkggFseL8G8S9LgsDCoO2CC1eCGJotC2VwVmg9Hr1h30Y3ZOP/qTHQ32VB/wAing0XZbAUW\nXZ6OsrkKPH37yajziXrbHXj1sdOecMIg+VDDlM9V4f4/l8Fp51C3zwCrkYE6g8KkaXKsvC0Xu973\ndnoWX5EBTSaFU9UmzFimwdU/LIQ2SwRdqwMkSWDlrTloPmI5szOYikhKSpB+1TqfdrfRCPOBA0mw\nKH7ws7wokRVnYsqvr0bHG7vR98X42Yoba9ADZjT9cRPyb1oMab4WbrMDA9/Uj37hBCHQ69Pzoe/K\nGs/EgRSJQRsGYGlvSrYpXuQsvwLqqrlebQRJglSoQSnUUBRPgWrKLHRtedureOgwmQtXRF2LZxhl\nSRVyLr4KJCXyaqfkSlAllSi47Bb0bN0Iho4sF0OlLvZpa2v9Cl1d4ycmPR7MulCLD5/vxI53zi4a\nLr0mCxfdlO3luDQcNKHhoOfvRWvTIdcIsf3t3lEn07c+XgK5WoiXfnxWKXPN3XlY9Z1cXHF/Ad5+\nujW2AwqBYZte/kkT6vafnUT/eec8vzadf3UW5l2ShraTNrz8k0bYTGc/K5SYhEAYfRj4F6/34JuN\nfehrP/v8C4QEHvzLFEyeIce089U4/FV0Smm0jcGxnZ6QXJly9Gnr0msyQJIEXni4Hh31Z5UUCQLI\nLBDDYvD+ziiZrsCT1x0DbWPw8EtVmLpEjV3v9+O9P7ejoEKGH/+jCmVzlMlzXEgSCCBTT2VkQLFg\nPhQLFvgN6x/6bFNCVBsTCe+4cBxYt+8DQVKh/+gRAhJFdy4DAN55SSKmE50w/XJjss1IWfjXhwcA\nSCEFzTSPxr+6fAb69mxBqsW72nUdUFfNhdMwiMHqr+GyWiAQiyBOy4Zm+iIIZXLIC0uhnbkI+kO7\nfa5v/vezZ0rXkEIKJTf/AABgajyO/r2f+5wf6IddMakCeauu9+RUWS0YOrEfzqFBsC4aIqUW6qo5\nkBeWIm/VDej89N8+qm2hoFJ5V7c2DDXzTksIDHTS+OZd70iHfZ/049Lv+MrAhkvpbCXyK2Q49o13\n/tq2N3W46KYczL0kDRv/1JZQdauRNo10WgDARXN+bVp+fRYA4K3ftXg5LZ5rWLhikKprGnTBNOgd\nhsS4OVRvHsTkGXJkFUamJBkNwxP4c/VYOA7o6/AddEeDDbTNE4LZUW/FpKkynNjteY11rR6HTJ0R\n/3pKgcj7/kOAQAjWbAHndoJzMyDFIgjS0iCQBVYhtNQeGpcFTie846LfdxrNf/GNMydIAqREBKFK\nCmmBFrLiDGgXTIa0KD1gX4V3LOUdFx4enpSGEAiQNvM8CMQSOI2DsHYkoWr4KJgaj4E2DMDR6y3q\nYGk9BXPTMUy6/gGQlAiqshl+HRe3/Wx4FUmJz/ybY1xw20ILvSIpMXIuugogCDj6u9Hx8etedXRs\nAAx1NZhy/68gyy/xqicUDlKJ1uvvrq69YfcxEWk6ZPaZmLpdHCTy6HfayuZ4lK5OH/F+VpwOFkO9\nNLKKJMgokEDXkri8sEA2AfBrkyqdQkaBGL1tjpgqs4XKsDNDiXwruMebw9v0mLFMgwf+VIGv39Zh\n32eDMOsD53gM57sAgMPqcWCGc3PcThYcy0EoSqJIEUlCqFICKmXIl9Bt7RjatDmORiWPCe+4BIJj\nOTA2GoyNBq0zwFDdgu6NB6GoyEHRncsgK870uWYsqG/x8PCMT/r3b0X//q2jnsfQDjT96//iZoe8\nsBRT7v9VVH1wLOPjtAzjNBlg626FYlIFRBrf7+FYoaqcDYFECgDQff2Jl9Pi9/wpsyNyXARC7xVp\nk8n/uHm8sQz53yUjYvAzrMnyOLtXfb8AV32/wO85UkVsQhFDJVyb1JmeHYIhXXwFakgBgdkXaTFj\nmQY5JRIo1BREMgFE4uTNh2q3DUEsa8dl9+Vj7b35WP3dPBzfacBXb/airc43n4lxjvCAv/0n4/Le\nPY3Fc5UoHM0tGHjn3XEXIjYM77iEieWUDvVPvI+yR9dCNbPQ57iyKg/muu4kWMbDw8MzMXCbPWEc\nHvVHod88l2hRTKrw3MtmBT0YWKPNbbNCKJNDku2bYB8K1DmOSyThZhORkcn1sWZ4jnpytxF9nf53\nK4z9iVVpCtcm4tsrYvUqkX7yYYQUgfufqUDpHAV6Wx04vtsAfbcTdqsb+WUyrLg1J0Z3D5+9n/Sj\n9stBzFudjvPXZWDmci1mXqDFtv/o8OmL3gphUZb4ShlYuwPmPXtg3LV7/AzKD7zjEgGsi8HpZz/H\njGdvhVDl/aOTfn4577jw8PBMWJxDAxg6FjxHQztjEUTajOAdEQRkecVIm30+hDIFSLEUJEWBFIq8\nE+/jtBIqyfTkSghl8pB2kEghBZISjbozcy4c4jYEnggxDnjew1M1Zux4NzUUQ8O1yfRtaJQmM/Tc\njEBFegUCAhIFiXOVuBeuzUDpHAVOVZvx0qONYEc4k0Iq8SFi50I7WOz5sB97PuxH+VwVbv5FMVbc\nkoP6A6a41AmKF9aD1RAV5EOQng6BTAZSJPLkvDgcYG1WOLt7QLe2wnbiJFh6fNcYBHjHJWIYuxO6\nTYdRcONir3bF1MhW3Xh4eHjGAy6LEYaT1UHPUZRUBnVcpDmFyFl+pdc5HMOCcTrgtplBiiUQiOKX\n9EsQJATi8PsnyPAna263HRQ1MaqmJ5thJTGBkAiamN50yIJV3wHK5ypTxnEJ1yZDnxNDOidyS6RI\nzxNjsHv0CS1t87/bV1gpB0kSPrtceaWeUMrarXovpwUA8soDJ40ng8ZaEza/0oWbHitG8VR5XBwX\nzeUXQHbeLDhbuqH/96dg7bFxIoy7fPP4JjK84xIFxtpWH8dFkqMBKRKCdY7P2EIeHh6eeCLOyEHh\nFXeAEAjAsSw6P/036EGdV4HMnAuv9FuPJWYQZ/4H9EAPdDs3hXQZ6ww/n8DhMPCOS4IY6KKRVyZD\n6SwlTuwxBDyvsdaEjnobpi1V+xwTywRIzxOju8nm58r4MdKm+Zemo/rzwVFt2vleP658KB83/bwY\nG37WdEY5axhNpsirQGRnow3gAIVGeEYyWCIX4PL7/S/IDvV5rs3IE3u1F1TIcP66+OWfjUbJDAXa\nTlp9nKmiKjmAs7tRsURcWgjlpecBAKQzy6G8eCGMn41eMJgnfHjHJQrsHXo4+80QZY5QeiAASb4W\ntpbgVV2DQgBpS8qRu25uUBWzkbC0C4M76tHzQS2cAaqkj2XyrluAvGsXhH1d9U0vxMGaswikImRf\nNhtZK6dCqI79CtPJn78DW+tASOdG8hoNbDuB1ld2RGJaWEjytci7eh60i0pBCENIauUA8/FOdL13\nAJaGcGrAezP/rQd92v4/e+8dJkd1pf+/lbo658k5akZZKIIECkQhQGCCscFgG2N/12Fts16c1l7b\nu/tzWq9zwBjbGGyDSSaIpIhAKOc4mpxj5xyq6vdHSzPqqeqZ6p6eJOrzPPM809VV9966M119z7nn\nvMd9qBVNP8lcbcW0uBQ1X71FdLzjiXcwkGFBT11VHgrvXAbjghIQdHpeeyHOI9DUD9f+Jjjfb0TM\nO/UKQtmkdPMnQFAUoh4nWv/+S8lzGKNF8ni2EHgewZ42aAvLwdryEfM4wYUnZ6Ha1fk+6ufeM/w6\nN28hBvpPTEpfmZD35fuhqpROBk+JICB8pgXe7fsRaewY89SHvl+F+aOKCn7u57XDv//uy41oOOQd\nfVlG/Ok/WrBwrRk3frIAH/tOBUiSgHswitd+14UT7yQbMv/38FlojTS+/td5sOaziMcFeIeiaD7u\nx75Xk5/JejON/3p1kai/B79XiQcv/B4O8Pj6TUczOn/0mNZ/JC9pXEe3O0VjAoCdz/Rh1z/6sGKj\nHZ/+cTUKq7RQqQkEPBz6WkN4/+VBHNs5Yri4+6N49Pqj+PrT82DKZRD0cDiz14Mnv92C2z5XjCUb\nkj9325/uQ/NRPzZ9uhDff2MxKJpEf3sI7zw3gK9efwT/s2XxhOZp+L7fuUIkfnT3v5UO//6VdUeS\ndoPK5+lx22eLkVemhlpHIhLk4eqP4thOF75x83GEfJPvWBYil0+l+pmGYrhMEC4i8QHgM0+KYvNN\nqPjMBujr0tOiJ1kGOTcsgO2aOnQ+9R4Gd5zNeAwK8tDX5qPic9eBzTVO91BmLARNouiuFci7ZTEI\nKo0FOQEYFhSjbkExHLvOoePJ98CFJ1cdZzogWRpln1wL29VzMk50IGgS+roC6OsKUHzfajT/9E24\nj7RldZxTCUEnYvL5qLQBRmv10OSJhVFScWniPplGeJm//Ty0heUAQcA8dxkcR3bLvjYd3O5WRKM+\nqFQJB1hR0UoMDpya3Un6BAH1vCqo51UhdOI8XM++Bc4r7VB74uvpyXEfesuRtNswmq9sODLm9Sfe\ncYuMlFQEvXF8/77xnRF+dxxfvlp+Md90zx89pi2PdWPLY93jnwxA4IH9W4awf4s8B1gswuN7d4vL\nOvz1v1vx1/9uFR1vO+3Hr794XrKtb9x8LOl1pvf9yNqx/6aj2flMH3Y+I8/hFfLFkwp3bnm8G1se\nT55bOf1HmjvhffN96NYsQvhkM3y7DqY1ZgX5KIbLBGH0rOgYF8gsrtE4twhVj9wESiduUy6kmkHZ\nw+uhLc9B+592z7S6cpcNxnnFqPnaLWl7xz9I0HoW1Y9shL6+cELt2NbVQVudh6Yfb0FkIDue15kA\nrWdR8+gt0NXkZa1NgePgO9ebtfamg5jfA5XBDJXFDorVJIWIERSN/PWbk5Pzx0HgOcSD/oTBk186\n/gUX8Jw5AuviNaA1WtiWrkXE2Q9/W4PkuWxOAeJed9JYZY9P4NHVuQeVVTcBADQaO4qKV6Gr8/20\n25oKYp2XLAhZFSidBqRWnVIvVrOwFqryIjh+/zwi7bP7f1NBYSw8W3bDs2VyHBwKIyiGywQgGQqU\nfpSUZZxHzJN+SIGhvhDVj24CyUr/SWLuAGLuILhABKRaBcaoSQ5RG0XO9fPBxzh0PnV5JHXFPSHE\nnAFQehakanr/bdWFFlQ/cpOk0cIFIhjadRa+092IDHrBBWOgtAzYXBMMcwthX1sPSsLYvZS4O4hI\nvxfhfg/iHvkLoYtzxFh1ad9TtqG0LGq/eZtkvSMg8TmJOv2Ie0IQ4hxosxYqqw4kK62Aoym2YM63\nNqPhey8jMnh5GC/ln9kwptHCxzhEh3zgvGHw0ThIlgGlU0FdlDpMyrW3GVxwdqvK+JtPw7p4NUha\nheJN96Fn2/MgKQaa/BJYFqyCypqDiKMfrE2+wedvOwfz3GWgtToYqxcg5veAoGnQai1ItRbuUwdE\n1/CxCHq3PY/iTfeDoEgU3XQvgl0t8Hc2gQv4QZAkSI0O5vnLoDJY0PaP32VkuABAf/8x2OxzYTIl\nDKvS0rXg4hH09mbmlZ9M+n70Z9ExgiKhKi2Aek45NMvmgslLDnGmjDrYP/8RDP36GUTaFNVNBQWF\nzFEMlwmgr8kXLV6DnUPgY1yKK6Rhc4yofmSjpNHS+dQeuA+1SnqaVWYdzMvKkX/bEqhyxOFKeTcv\ngv98H1z7Z15l7HQZ2HoKA1tPAQAotQq0QZ34MapB6zVQ5ehRdM/KKRlLyf1XgdSqRMfdB1vR+tvt\n4EKjQpqcQKjLBfeRNvQ8fwjln1kPy6qqpFO6nzuQ+Dv3e8FnGBt7cY6me35AEKj8/HUpjZbWX22D\n+2i7aIFN0CSM9UWwXlML22px6JTKbkD1ozfj3LdenPVhY+ZlFTAvqxC/IQhwvNOAoXfOwt/YD4ET\nhwux+WboKnNgWlACw4JiqGwjid2Z5tjMJBxH3oWupBqsLQ/q3CJUfvSLl7wrYOjgLgS7W1B6+yfl\nt3lwF7TFVVAZLSi47kNJ73HRiKThAgDB7lZ0vvoUCq+7E7ROD21xJbTFldKd8Ok99y9FEAScb3gJ\n8xfcB40moaRWUXkDzOYKtLRsQyQiL7RpuhA4HpHWbkRau+F5ey90K+bBdNs6UIYRJwqpVsH26Tsx\n8KMnEXdfHs4HBQWFqUcxXCaA9apq0THfiTSrHhNA5eevl/TCD+04i/7XU1dijroDGNh2GkPvnEPZ\nZ9bDtrpWdE7FZzYg0NB3WSXsc+EouHA0yfPOmLVTsjDXVeXBtKRMdNx/tgfNP3sTwjj5TVw4ipZf\nvo1a420wXCKdbV1Zhb5/Hh73ejlM5/wAQN7GhZJzJPACup7aA8ce6XhoIc7Dc7ITnpOdGNp+BpVf\nuB6MNVltSVNsRemDa9D62I5JGftUkbNhruiYwPFo/skbcB9tH/PaSJ8bkT43nO83Akj8T9rW1EBd\naEGgeWZIt04EPhpBxz//CMuCVTBUzYXKbEc8FECorxPuUwcQ6uu4UHSSl503FQ8F0PHC72FZtBqW\nhStBkDT4aBhxvxuh/rFzBUK9bWj5+89hql0MffkcsLZ8UOqEEEc8HIDnzGH4m08j4paXQ5CKWCyI\nUyefxvIVXxo+ZrHWYKmlCm53G4YcZ+D1diMSdqWstzEj4HkE9p1EpLET9s/dAybHOvwWZdDB8tGN\nGPzNs9M4QAUFhdmMYrhkiLrADNvaetHxwV3n0monZ309dLXikIeBN0+i40l5Unp8jEPrr7aB1rKi\nBSOpYZC3aRE6/zoz46VnG5aV0t7Wjqf2yDY6BF5A51/2YO4PRpSENKU2WFZWwbm3KSvjnC4YsxZF\nd68QvyEA7Y/vwtAueaIRvnO9aPjvV1D3n3eANmmS3rOtq4Pj3QZ4z8hLTp1xEIBhnlhedGjn2XGN\nFikCzf0zwmAReB4Nv/uurHO7tjw95vt8LArHkd0pE+IFLo7zj/9XWuPjImEMHdiOoQPb07oOAIR4\nHO4zh8atTzNRCIJENOqHSnWJwU6QMFsqYbYknj2CEEc47EY8HgbHRSFMYKfnImfPPj9/dLUNAAAg\nAElEQVThNkYTd7gx+NO/Iu8bD4HSjyguqusroFlQg9DJxqz3qaCgcPmjGC4ZwJi1qHl0k2SOQ6RP\n/pY+QZMouGOZ6HiwbQidT6efm9L2+51Y8PP7RTkgOdfNQ+/LhxH3z+7Y95mAcYFYFjTU5Uxb/jrY\nPoRQpxOakhFvpHV17aw3XPJvXQJSLc5TGdp1VrbRcpFwrxttj+1A9aObRO8VfXgVvP/5QsbjnE4Y\ng0YyT8t7Os3dWoXLhvr6u6DT5w8ri40FQdDD4WQzHc4XgOvZt2B/6I6k46aNaxTDRUFBISMUwyUd\nCALWq2pQ+rGrJGt2cL706idYlldCZRd/UfU8d1Aytn08Yu4gXHubYVs7J+k4qWZgXlaZ9sJRQYy6\nUJwYHWwayKitQFN/kuFiqM3PeFwzAZKlkbNeHALFh2Po/sf+jNp0H22H93gHjIuS1aB0tXnQ1+bD\nfz7zGi/ThZRhBwBEClWmy4FNDxfhugfy8aMHz6C3JbME9ssZi7VmuocwaYSONSDS3AW2asTpw5Tk\ngS3NR6RD/udXVZQH9fwqqOeUgzIbQRq1ICgKnD8I3uNHpKkT4XOtCJ8TS/amgq0oRO4jDwy/dj69\nBYH9I1LApFYN28c3g7KbQZsNEOIcOK8fse4BhI6fR+hUE4Ro+jmJ9ofvhGZh4m/O+QLo+Ya4XpG6\nvgKaJXVgSwtB2UwgVXSif08A8QEHIi3dCJ9tQbQz/WfgeHPpeW03wg1tQBZCEkkNC/Od14EpsIOy\nGEGqWRAUCT4SAx+OgnO4ER90IdrWg3BjG+KDmedzkRoWmvnVYOeUT1p/ppuugnHTNeOeN/TY8wid\nyp4jkmRVYOsroZ5bAbakAKRBC1KnhRCNgvMFEO93InymBaFTjeA8ftntqgpykPeNh4Zfu557G/7d\nI/LPBKuCZn4VtEvqQOfaQBl1INQs+FAYvDeASHsPXM+8BfBTJ9+uGC4pIFkalJoBbdRAU2KDvjoP\nllVVYCzSik18NI7Gn8irrnwR29VzRMfi7iDcR+U/eEfjPtIqMlwAwDCvUDFcsoCUpzzqzqwwXWyU\nYhhlUINkqLTFHWYK5ivKQWrEi3LXvmbEMpwjABh4+5TIcAEA+7r6WWm4xFMUiDQuKJnUHbfP/3IO\nqhZfEoIkACE/hzf+2IM9Lw2KqkwrKGSLwPvHkgwXANAsrpNluKiKcmHavA7qeukwXdpsAMwGqMoK\nYLh2BQZ/9xzCpzMTpLlUDU23cgHMd18Pkh0RYiEYGqSGBZNng/aKesQdHrhf2IrQycw/t5Q+YTQI\nXOK5zxTkwHr/zVCVimu5ESoSdI4ZdI4Z6nlVMN16DQb+90nZMtNy5zLncx9GrHsQ7ld3ZTyXJMvC\neOOV0K9bBoIRf2+SGhakhgVtMYCtLoHuyoUAgFjvEIIHTsG38+DwnEy0r/H66//hn2T3NR0Y1i+H\n4YYrk0IuL0LQapBaNZg8GzQLa2COXwf/7iPwvrUHfDD9YsRM3shurnZJHSwfvhGkTiM6j9JrQem1\nYApzoK4th/NvbyByvi3t/jLhA2+4WK+shvVKcZJ9OnC+MJp/9lZaFb5JFS0Z5+4+2j6h2iuBFN5/\n41xxXwrZgc/A4wYAfExcvJRU0bPWcDEtFifkA5iwqp3nRAe4QERU38i8pCyhPDbL1ttcOIpwj0u0\ne2dbWwf3wZaM8lxkIwCv/T6RG0RRBIw2Bh/6YgnyyzV47n8n1u/ae/LgHoji+C5XNkaqcBkRPHoO\nlo9sBEGP1N9R11UAr+wa8zr9VYth+fANACm/XlbO/7sbvm374X5lV9o7BnR+YtFmvut6GNYuHf98\nmwn2T98F9z93wLddWpluXAgClFGHuMsLdV0FbJ/6UEpZ+NFw/qDsXat055Ipysl4LmmLCfZ/uRtM\nQfohjUyBHdoV8+Hdtm/S+7rYXzpGixDjEnMxRTvklEEH84eulX0+QVMwbFgO7dJ6DP32H4h2pxcR\nwuQnjHfzbetguH6VrGtomwm5n7snsWN5cPKVLT/whstE8Z3sQtsfdqVdGE9fnSfpvU83V2I0UZdf\n8kPFWPUgWSZjqV2F1NAZFgwdfZ0Q5xGfxTU49HViD6HA8RPO3RDiPLynu2FZkewlpM1aaIqsCHU5\nJ9T+dODa34KCO5IXRgRJoOrfNqJ/y3H0vXIE8QwL2Y6FIAjY/nTyQmfeGjNW3WrDK7/uQiSUudG8\n+o4c7HtlYspaCpcnQiyOWPcAVGUjzwi6MAcEQ0OQcOAAgPH6K2G6ba3oOOcPItbVD96f2LEmDVqo\nivNB6kZqqhmuWwmoaLif25rWOOl8GwzrliUZLZHz7eB8AQAEaKsRTGmBSM3OfPsGCKEo/O8fQyZQ\nZj0okw72T9+ZvGMgCOC8AfCBEEBToEyGJKMmfLpZlkExlXNJUBRsD9+RbEjwPGK9DsQdbvDhSMJY\n06pB5VrB2M2i9Upgz9HM+8qgv3Twbt8P744DicKreg1InRakTgPabID57uszblcKymxA7pfuFx2P\nO72I9w6CC4RAqlnQFiOY4tyk+6JMeuR8+X4M/fY5RJo7ZfdJ59uhWzFfZLTEBp2I9znBh8KJWoKF\nuaDt5pETSBKWj2xEtLMfsb7J/R5QDJcMCbQMoO+VI3Dtb8noem2FdI2LcO8E9foFgA/FJOuMMAY1\nIorhMiE4XxiUIbnoqKbYmuLssdGWJhdpi7kDs2734CKURgU2V1xLKNLvycoOUrjLCawQhzdoK3Jm\npeEy8NYJ5N6wAJQu+XNKUCTyb1uC3OvmYWDHGQy+fRKRQd+kjqX1pB9LNlhgtNEY7Mrsb2XNZ5FT\nnJkBrwC8v+f70z2ESSfa0ZtkuBAUCSbXhmi3WBFPXVcB063JeQTRth64X90tHY5CENDMr4b5jmtB\n5yQWU4ZrliLW3ovAgVOyx8jkWGC+8zoAicWh5+WdCB5JDrEmdRoYN66B4ZorkhaKpg9tQPhsC+Ku\n9GvUMAW5MGxcPWy0RBo74dt1EJHGdvChSxwYBAEmzwp1XQW0K+bLCuPKZC4LvvWZ4XkE0ptLzaJa\nqEqS8zV7/uNX4HzS4cIEqwJbXQL13Epol9SBVLOy/2ZSffl2HIRv2960+ksbQQDnD4LzBwE4AFzI\n5cmm4UKSsH18M2ibafhQ+GwLPK/ulsxrogw6GDasgH7d8mHhKJJVwfbQ7ej/wZ/AeeXlvVBGHawf\nu2X4dfDIWXi3vIvYgPh7lq0ohOXejWAKE+tZgqFhvGk1HH9+Oa1bTRfFcMmArr/uRd9r8jwCqVAX\nmiWP137ztgm1OxaUQQ0MTe4i6HLHd74P5qXlScf0dQWgdWxaHnJaz0JXM+qBe3r2VpRW50v/P4c6\nsxM2lMo4kRJLmA3EPCG0P7ELlV+4QVRoEwBIrQr5tyxG/qZF8BzrwNCus3AfaYMQz34CpMnOgIsJ\ncA+OODXmrTZj+U1WlMzRwZTDIBri0dkQxFt/7kXL8ZFnyLX35WPpDVbklSeM+Vs/W4RbP5sIS932\nlz5seTxZslrFkrj7K2VYeLUZrJbCUE8Y7700iL0vDyY5jlUsiQ335eOK663Q6ik0HPTijSd6MNSd\n/Bnb/PliLFprwffuPonVd+TgmrtyYStgEfJx2Pf6ELY81g2NgcZ3X1yIxqNePP5oci7CwmvM+MT/\nVOGfv+jCO89Nv6T05UxcYuFDmvXAKMOFVLOwPnBLklEQPHgajqe3pE4AFgSETjYi0tSBoh99efiw\nafN6BI81pJ1AHx9yY+BnT0smOfOBENzPbwU36IT5rpGFKsmqYLp1LRx/eTWtvgDAfPf1IGgKQpyD\n69k3Edh3UvpEQUCsz4FYnwO+XeNLc2c6l/0//hNyH3lgOGwIkD+X6nnJxZWDh8+kNCIAQIhEET7d\njPDpZrhf2A5Vni3ZWEuzL/dLY8udS/U3EzFeuzIpL8y34+CY98b5AnC/vBOhc63I+cxdw0YwZdDB\nev+mjGonjRcCGWntwcDPnk76zGkWzwGpYWX/DTNBfuDo5YoggI9xkj9CXNr7aN9QnxSrmwmMVTrJ\nfzKhUqgZKcjnYtG/SyFZBvm3jx8PfSkFty8FySb7DVyHMtu9mwmkEq2IezNPyr+UVMn9qmn4HGUL\n594mtD22Y+wdKYKAaUkZqr58Exb/5uMoffDqrPVPEIDRxqByoR5v/rEHscjIQmb9vXnIL9fg5Ltu\nvPrbbux/w4HSuTo8/KNqmPNGdolaTvjx9p978dYfE8nBh95y4slvt+DJb7fg8DbxQvXer5ehYr4O\ne14exNa/9ICiCdz9b6VYcfNIqAdFE/jM/9Xgxk8UoLc5iINvO1G/yoRHHq9HfoVa1KbRzuDmTxVi\nw715OPmuG1se60bDQS/CgcS8hnxxHN7qwNxVJljzk72rKzbawXMCDm91TGwyFcaFD4sXMpRBnGys\nu2oRKMPI5zo26ILzb6/LUi0avViijDroVi5Ie6yuf7w1rjKT753DIgUzzZK6pDAruVxcT7j+9npq\noyUDMp1LPhSB62/JYkNy55I2JyulRtvScMjxPKK98sPlJ9RXBv1NFQRDQ79hpFRGpLFzXINs+NyG\nNrj/mVygWV1fAbYivTzn4NFzsvK2Rn/mCIqEqrwwrb7S5QO/4+Lc14yWX7wt+R5BU5j/43vB5puS\njqsLzMjftAi9Lx+RvE4OtEGs0jDZXM5yq1OFa38zInevBJufHBaVv2kxooM+DLw9/pdO7vXzkXfz\n4qRjwbZBuA+3ZXOoU8rokKeLcOHshCamaofSz+7wpKF3ziHQ3I+yh9ZJ5ghdCmVQI/emBdBV5qL/\nzeNw7W+WXfT0IgRJ4KfvJhvZf/haM07vSQ5RffzRJlG+S+eZAD72nQrULTdi32uJGObWk4nFXeXC\nhFpZb3MIx3am3mWLRQT84nMNiEcTC6e9rzrw7ecWYMUmO/ZvSbS5+vZcVC7UY8tj3dh2IR/n3ecG\n8LWn5+HDj5bj5/+SXOSXognUrTLhhw+cQTQivSDb/fwAVt1qx1Wb7XjtscQukMHCoP4qI07v8cDv\nls6zUMgevET+HsGMcqYRBPTrkmub+bbuTelElCLWO5SU86BZUA3/u/K/q2ODLoTPylP29L75fkJk\n4AIETUF7xdy0+rtI6GRTdhObJziXkdbujOaSD0eTXjMlkyfzP5V9TSXaZXNB6UcMTs/LO8Y4W4z/\n3aPQr1sOJmckIsFw3SpEHpdZ+0wQ4Hl5l/wOeT5J9IEpzJH9GcoEZcdlDIQ4l7LifMEdS8FK1GCR\ni1RivsLMR+B4dD75rjgXhQBKP3E15nxrM6xXVkNlTt4JYIwaWFZUYs43b0PpJ69JCg8S4hw6/vRu\nVjTzpwuSkX6UZM1wCaUwXFJIX84mQl0unPvuS2j6yRsIto+f1KirzUPlv96A+T/5KKyrayVDzVIi\nAK891o3XHuvGlse6sfu5Adz/7Qqs3JSc3CqVpN9xLgAAsOZLG6ly2P3CwLDRAgB+dwwDHSHYC0fa\nXHytBVxcwO7nRtRwnH0RHN/lQvl8nWjXBAC2P92X0mgBgN6WEFqO+7HqlpH7XHajDSRJ4MDrym7L\nVCCVhD/amaYqzAVtucQpJAgIHT+fVj+jve5sVUlaqmThNGpvRFq6LiTuj6BK07N9Ed+ugxldl4rp\nmsvR1+iWz0urz3SQ6ku/esmk9TdVjJarlit3PYwgIHQo2QhW11eAoORFCkWauxB3yM+3jjk8Sa8p\n7eQ65mf/t/4k4z7UCt/JLhhGVUwnWQbFH1uN5p++mVnDKXY/fKe7JiWOHQBigfQ1vRXEuI+1o+fF\nQyi8c5noPcPcIhguSE8LcQ58KAaCpVMbqoKA1t9sn5X1SJJIYXNla5MvVTvCbFUzkMB9qBXuQ60w\nLSpF7k0LYFpUNqZRwuabUPn565B3/Xy0PrZDlrCHlKpYbpka9361DN1NQXQ1JELyckpYrLk9FxUL\n9TDlMlBraTAXbIuJ7NwOdYq97tGoAPoSw9deyMIzEBUZIgPtCeWj3FI1nH3J7fS3j/9se/fFATz4\n3ZEFwfKNVvhdcZzd6xnjqssfg6EAPl+aC6MMIDVig3O09390rZe425d2LQp+lCFBqBhQeg04byDF\nFcnEutLIdRIERNt6oVkwUlJBVZq+11+IxRFtnpj64mimay4D+07AcONVI+pnBIG8f38Qvu0HEDp+\nPqv1UqT6stx7I3RXLZyU/qYKtrpkwm2Ez3fAuHHkNcHQUJUVINIy/v9ZpEm+ChkACKPDQNWZO7fk\noBguMuh46j3M/cGHQZDJX9iWFZUwLSyB50R6f2QAEOLSoQltj+2cdBUhhYnT8/wB8NE4iu5ZIZLG\nvAhBU6AMY3s4mn78+uTW7ZgiuKj0lwOZpQcYpZFuh0/R72Qy0fy28fAc74DneAfYXCPs6+phX1s3\nZk6cbk4+5n7/brT8chvch9Pfnj/4pgN1K4yYs9yIroYgyufp8dmf1SLoj+PdFwbQ0xRCyBuHzsLg\nUz+oGr/BMZAttyxlHF04JEjsTHKx8Z09J99xDwsQlNbpUFCpwa5/DID7wBXeJGAwFMJur4PVVgeW\nNU6JqhmpEed+jM57YUYt+mmLESW//NqE+6Z0WtmGS9yZnipYvN8BXGK40Pb0BUNivYNZX2BP11xy\nvgBcz7wB2wO3Dn+OVaUFsH1iMzh/EMFDpxE6eFp2/ZmxkOprMvubCkidJikvKVNiEmp9THGuLMMl\nlm7ez6icKSKtMID0UQwXGYQ6nRjafho5188XvVfy8avhffTZtGJwAYALRiWP03qNYrjMEvpeOQLv\nyU4Uf2QVjAvS85BwgSgc75y9LIwWAOBS7OZlSxAiVTucf+rr3lCT7E26SGTAi+5/7EfP8wdgWlQK\n+4a5CUU7iUU9yTKo+tKNaPjvf6ZVCBcAaCbRHqNKGOBr78kFoybw+39pQk/TiChC9ZLUobHZjHIc\n6AijYoEOKjWJaHjkCzG3NBF+MNSV2d+c4wTsfXkQ+RUaLLsxIWF+YMsHpe4MAaOxCDZbHWz2OqhU\nmYc5Z4pU9e3RCfDkJIWYEDILOgKAEAil1TY/6nyCIkGomLSUzEa3kQ2mcy6Dh86AD0Vg/chGUCb9\n8HFKr4Vh3XIY1i1HrN+B4L6TCBw4JVuqN52+Jqu/yYaS+JxkAh+KQIhzSY42Si8Ww5AiIfM8c1EM\nF5m0/3E3wr1ulDywJum4usCMJX/4JE5/5RlE0pAa9p3pHg4puhTjomIEWtOrdKowPZgXl6Hyyzcm\nhYH5znSj9dfbEHXK8+5dLvhOd0PgeNHuk3F+cYor0sOQoh3vmeyGV8hBXTS1EswCL8B9tH3YyGVt\nepQ+tBamJWVJ5xE0ibrvfAgdf9yNga3SdRAIgsC19494Yg0WBmvvycW5A1689adEvPj5g14s3mDB\nHV8oxsE3HVBpKCy42gxWQ6YUA2g/E8BgVwQ3P1yIWJSHWkui7XQQjUfSr2nxmy+dx6d+WI0fbl2C\nE++44OiNYuXNdpAUgR9/4iwcvZkbq28/2Yv/enkR9FYaL/6sE70t2V8wTjcEQcJkKoHVVgebrRYM\nox//oilAtzpZkIQPhEWF8Shjsqc57vYhkoUk33QWYlI7emPBR8VOSFKtApeG4ZKuXLMcpnsuw6eb\n0fMfvwKQyD3RXbU4Eb52wfHC5Nlg2rwOps3rACTyR/27DsGzZXfKoqRy+iIYGtrFcya1v8mE1GZP\ncEaIREHQI4YQoZWneCekGVI41SiGSxoMvH0KOdfNE9WOIFkGJQ+sQdP/vSG7rWCrtKdvdG0PhZmJ\nptiCyi/dkGS0+M/2oPGHW8BHZ85DcKrgYxzCXS5oypI18dk8I0iWAT/BwqeaEukin+MmswuCaIci\nVWif7LEUT2/tmIjDj8YfbUHZQ2uRc5048dWyojKl4QICuOUzIw4TLi7gjSd6sOOvfcO7JntfG4LG\nSOOqzXbc82gZAp44Tuxy47Xfd+OLv6mVbJbnBPzhq03Y/PlibP58MbyOGBy93ZLnjgfPCXjia03Y\n8JE8LL/ZjqrFRjQc8uLNP3RjQCJHJl30VhpcXMDhrbOvcGkqEsZKGWy2ObDaasEwM0smnLaZQVuT\nlRijbeL/j9E7D7zLm5DvnULSFc4hWfFCczJrWMhlJszlRQIHTyNw8DRomxm65fOgWTE/SfEKSDyX\nDdeuAFtZhMFfPws+Ih2VMh5CLJ52f/3/91TG95ZtuCzuvhGj/jdnukEiF8VwSQOB49H11Puo/uom\n0Xvm5RUwLS6F51iHrLZ853qlPdT1RaBYBpxS4X5GU/KxNSMJgUh4xVt/v+sDabRcxHu6S2S4gCBg\nXFAM96HMPX0kQ8E4T7zjwvnCCHWMvfjkgjGRVDM9QY+WpnRmFCzr/Mt7MC0uhWqUuqGuKk/y/F99\noUF22zv+1ocdfxOHnP3o42clzk4w0BEWFXi8yJbHu0XFKC/yi1HyxkDCoNr6VB+2PjV22NvLv+rC\ny79Kf9ft1HtuBL2z+7NKEBRMprILuSo1oGl5YSCj8fsnPzFfP2q3BQDCZ8R1q0Yv2kjj1O8WEWmG\n6pCjatEIcX5GePBnwlyOJu5ww/PmHnje3AN2TjmM65eLikiqKopgvucGOJ96bcr6m0nw/uwYLqRO\nDYJOXl9mq+3pRpFDThP3sXZ4jknnJaRTHI4LRuA/Ky6WRGoYWNfUZDw+hclHZdHBuDA5pyXYPohI\nn3z5wMuRVMaJZdXEErqNC0pBasRx1e4THeMmV3ASHiZVbubx/ZoyG9hc4/gnTgF8jINHIkeK1DCK\n3Po47H99du62kCQFi6UK1TWbsHzFFzB33oeRm7coPaNFEODzdqKtdRsOH/oNThz/86SNF7gQunPl\nwuQhcDyCx8QGa7w3eQeVtplkx+VnCyZHenc35fmjKq/HB2fG/9ZMmMuxiDS0YfB3z2HgZ39F3JUc\nZq9bPg9MbnZ3tsfqL9t9TQQ+FEF8aOJrCaZQ7MCKdl8eaQiK4ZIBnU+9D4ETq9iMLlQ5HoO7xA9u\nAMjbtFhUVV1h5iAVtjQdSeIzDd+5HkT6xTkNlmWVYG2Ze/tybxKLYgCAc/f4Owgxt9jDxFh0GY/H\neuXMcipwEbFnV+B48LHZJwE6Fah1FPrbwzi3b/Y4GUiShtVag5raW7B8xRdRP/ce5OYuBE2nsTMg\n8PB42tHS/BYOHfoVTp58Gj09BxGJTL4UtGnzetGCOXTivKQyVeR8m+gYW18hOjaZpFXEkCRF6l3R\njsnfwZLDTJhLOUSaOzH0m2eS11QEAbZucsYq1d9k9ZUpo3O/MkFdW5r0WohzM+Z/c6IohksGhHtc\nGHxbOoaczZHvzXXtb0ZUQkFMXWBG8YdXZTw+hclFqs6OvjZ/xnjipw0B6H/9uOgwydIo+khm/8/m\nK8olFdtCXS54To4fIhRolq7JYF0jnasxFiqrDnk3Lkj7uslEIyEUEPeEZnUx02yjYkls+Eg+1t+b\nj8//shb//EXXjJ8ekqRhtdWitvY2LF/xRdTV34WcnAWgqPTCHAWBQ3PT6zh48Bc4fepv6Os7gmh0\n6hSVNAtqYFi7dPSg4H1jj+T5kY4+UUFHwzpxvazJRD2/UnYBKra6RGSURVsyy+3KNjNhLuUS63OI\niknSkxjaNrq/yewrE0InGpNes+mGsxEEtMuS8x8jje0zIoQxGyiGS4b0vHAQca84DGW06thYCHEO\n3c/ul3wvd+NCFNyxVPK9dKA0KqgsMytRc7YT7hN7KUmWQf1/3Yn8W6+AttyeqDuSreqLs4ihnWck\nd12sq2uRKyEnPhbqAjPKP71e8r2e5w/IWpynKuyZt3ERGJN8jzVBUyh/eD3ILMg7s/nmrPxvqIss\nopBFAAi0XB7hANmCUpFYd28ebn64ECRF4NyBmVtwkqIYzJmzGStWfgl1dXfCnjMPFJWe/LYgxOF0\nnkdj4ys4eODn6O8/jlhs6mPbdasWwPbQHaLjvp2HUteJEAT4tid/J6pKC6Z0wU3pddCtlPesMt14\nVdJrIc4heDR1HtiUMgPmMh2IUeGtky1wcGl/M0FM4VJCJxsRuyTk0HzHhrS+MwxXXwHabk465ttx\nMGvjm26UeKQMiQci6Hn+AEo/eU3ScfOyCpgXl8GdIg9mNI4952FdXSOSNgWAontWwrmnEZGB9CRF\nSZaBsb4QljU1sCyrQMef3sXQO9JhaQrpE3X64TvdBcOohHHaqEHxR1cBGGd3QQD4cAzxYATugy3w\nneuF+3Bb2rWAZiJ8jEP7E7tQ+/XbRFXfSz9xDUiWQd9rR8dtR1+bj8p/vQG0hHHhPdYB1/5mWePx\nHO0AH4qJcmRokwbVX96Ixh9vQTww9pcWY9Sg4rPXwriodMzz5FJ0zwroa/Ph2N0Ax7sNsirej0Zd\nZEHNV26WVEhz7pVOkP+gEvLF8e3N4p3AmQJFqWCxVMFmr4PFUgWSnJhxfOzoEwiFpi/Pgs4xw3jj\nauhWincnox298Lz2zpjX+989CsP6FUk1OUy3b0jI1757RPY4mBwLVJXFCOw/KX/wF/vbvB7Rtl7E\n+lKrFhrWLwdbm/y9HTxydkYtgqd6LimDFup5VQgebYCQhioYW1EEVXFyTka0Z+wiiJn2JdXfeH1N\nORd2JW0P3ArggmDBXdfB/dzWcS9la8thuj3Z4Rdt70X43MSlsGcKiuEyAQYvFKUcnfNQ8uAaeE93\nyY4zb/3tdtR/707JHJn5P/koXAdb4DvZCV9DH+Le4PBCi2JVoDQMVDY92EIz1IUWGGrzoavJm3h1\nb+JC+9qRH1rLgtQwoLQqyRo0piWloDQMuFAMfDCKeCgCLhgFH4ohHoyCC0UnFMJCsjQojSrxo2VB\naRNjoTQsVDbpXaXc6+eDC0bBhWLgQhFwoeiF14kfqbAvObQ/sRv1/3UnKF0GClVEIoFapWGQe9NC\n5N60EHFvGP1vHkffq0czHhOQmCOVVS97fjSl9qzPkfdkF3r/eVi8Y0gAxfddifPSQRUAACAASURB\nVJg3CM+RNsRH5QURJAFDXSFs19TBds0ckeEDADFnAK2P7ZA9Fi4cxeCO08jbJFY10s3Jx9wf3IPe\nfx6Ga19zsgFDANryHFiWVSDv5kVJOy1xTxC0aWJJriqbHgV3LEXBHUsR6ffCe6ID3jPdCHU4Eelz\np6yXQqpolD54NaxX14JkxJ/xcI8L7oNitSaFmQVFsbBaq2Cz18NiqQRBpP9VHI+HJPNceD7z50em\nMDkWsDVlYOsroF1YA5Bigzo24MTQYy+MG64iRGNwPPEScv71vmFVJIIiYbnnBmiXzoVv1yFEzreB\nlxDeoMwGGK6+AmxdOVSlBYi292RkuFB6LXK/dB88r+6Gf0+yo4XUqmHcuBqGtck7F3w4Cs+rYxtl\nU02mc0mZDWDy7VDXlKY1l6SahfW+TTDfdT3CJxoRPtuC8Pl2UaHR4fM1LHSrFsJ489VJOwqcNyCZ\nozORvsbqb7y+poPgwdPQ1FdCuzwR8mW4ZilU+XZ4Xt6JSIc4koDSa2FYvxz6DSuS1n98JArnk69M\n2binAsVwmQACL6DzL++h9pu3JR1n803Iu3UJel88JKuduC+M8z94DXO+eStUOcl5EgRNwnplNaxX\nVl/SsQCAkFzYTQSVVYe673xoeNGbbjiLbc0c2NbMSX2CAPCRGLhgBO1/eEdW1fg537gNmjI7KK1K\nJO0nh9E7YqPhI3HwoSgGd5xB93MHZLcb7nXj7LdeQMXnr4OuMjftcY2GNqpRdM9KWFZWoekHWxB1\nyy9gOZE50tXkQVcjLZ97kbg7mPb8dD+3HyqbPmGAjKLiX66FwPGIOvyIe0LgY3EwJi1UNv2YoVhc\nIIrG/30dMXd6VX37XjkK61U1YCRCJlV2A8o+tQ5lD61FuNeNuDcMSs9CZdFJGqV8NI6G/3kFtV+7\nBYw1O3HRbJ4ROdfPR86FUDo+xiHm8CMeioAPJjyJpIoBY9ZCZden/FwKHI+2x3YqifkzFJpmYbHW\nwG6rg9lSCYJI37kUDrvgcjbC6WyE19uFK6/66iSMdGzyH/144heGAalTg9Roxn3uRJq74HjiRXA+\neZ/dSGs3nH/bAut9m5J2Fdmq4kRRQUEA5w0kFtyCAIJVgdRrkyTqM4HzBhA+3QzdlQtB6jSw3Hsj\ntEvngvP5AV4AZTZAVVEkudPpfmEbOLf8ItRTRSZzSdvSExoaDcmqoF0+b3jRHWnqBB8IgQ9HAIIA\nqVGDtpvB5Nskn2euZ9+SFECS0xfnDyLe50irP7l9AQChYkBq2MSPmgWhYUFq1KKCn+r6ShCsCnw4\nAiEchRCKgA9HwIfC4MPynLjOZ98CnWuBqqwQAMDWliH33z+OuMuLeM8guEAIJMuAspoSO0ij7k2I\n83D+5TXEBl2y7282oBguE8R7qgvuQ60wL0tWpSi47Qo43z2PyKC8MK9Ivwfn/vMlVD2yEbrqcRbC\nk5Q7QVAUVGmIC6TfAUCqmcSPRl7cNmPXgzbKq/aaCSRLg2TpNPMdSFivrIH96jnQltqzOh5tmR01\n37wNDd95cdwQpotM9hzRZm1a8wMAEIC2x3aAj8SGF+SXQlAk2FyjbEGDmDOAxv99HcHW9Lf0Y94Q\nWn7xNmq/uTn1AosgEoVlC1O3I/ACWn+9DaFOJwItgzBnyXAZDclQYPNNSGcvj4/G0fLzrSlzehSm\nB5pmYbXVwmatg9lSkYGxIsDv74PTeR5ORyOCwekPaUlHdUuIxuB9ey+8W/cBae4EBQ+eBuf0wvbQ\n7aAMo5wOBAHKpE8KgcoGpFoF5zNvgtSqoVmUEPBga8R5ZKNxv7gdgX0nsjqWbDIdc3kpbPX4cwgk\nDAj3P95G6MT5jPui9FpQ1fJ2xC/2Jwd1XQXs/+9u2QWM9ddcAf01V6ToWEDoZBOGHn9h7PFFohj4\nxd9R/JN/SzpOW4ygLWN/d/LBMIb+8BIijfLSFmYTiuGSBTr/+j5Mi0uTtudIlkbJg2vQ9L/yK9VG\nXQGc++6LKLh9KfJvWZIVSWQ+HEPMJd97rzA25sVlKP3kNWMaeALHpw71oalxd8o0xRYU3rUcHU++\nN5GhTjsCL6D9j7sRaBpA6YNrQGrTSzK+iPtwG9r/sCvtnZZL8Z3rxfn/7xVUffFGybyZ8eCDUbT8\nehvcR9oAAIHWQZGzQi5ClndEgu1D6PjDO/A3SSuoKUw9eXkLYbXVwWIuB9I0VgSBg9vdBpezCS5X\nIyKRmefFHw/OF0Bw7wn4dh8eM3RnPCLNnej7nz/AuGEFdFdfAVIj05zneYTOtMC/+3Ba/REqBgRN\nYeiJl2BYtwymW9eCYFJ/D8cdHrieexvh0/Jy7qaTqZhLzhtEYP9JaJfOTTtcPXK+He5/7kS0U57z\nZSJ9ZdIfCEK20SKrrTH+ry5FiMbg/MurMN6yFrR1fEefwPEI7D8J7xvvzcgdwGygGC5ZINLnQf+b\nJ5F/S3IcvXlpOcxLymSFRF1EiPPoef4gHDvPInfjQsnY/PHgYxwCDb1w7GmEa28TuEgs7TYUpKn+\n6ibRsUDrABw7z8F3vhfRPu+4800yFGiDBiq7HiUPrpEMNcu5fj56Xz4yocX6TGFo9zl4TnSg4NYl\nsG+YK1uZy3+uF70vH4bnWEdWxuE724MzX/8HCm6/Ara19bIcA0Kch/P9RnQ/sw/RSxwAoQx2fi7S\n9vud8BxrR85186CvLcgoBBJIqIcN7TiDoZ1nUxrKCtNDVbX4OTEeHBeGy9mE5ua3wXEzJ8E7JYIA\nIc6Bj0TBu/2IO1yIdvQj0tiOSFtP1iS5+UAI7lffgXfrPqjrKxK5NOUFIPQ6UHoNQJIQojHwwTDi\ng0749xxD5Hy7ZA6MHEitGpzbB9/OgwgeOgPbx28DZTODMuogxDlwvgBiXf0IHT+P0MnGWSUxK3cu\no+09iPU7EGnqTGsu+UgEzqe3wP3CtkTbVSWJUKfyQpAXjEKBFxIhU74gYn1DiLX3IniiAfHB9ERK\nUvVF28wgDdqs9zedBA6eRvBYA9R15VDPqwZbXgjSqAOp1UAIR8EFgoj3OxN5PqeaEHelJ+g02yAE\nYWYo2hcVpalT/QHBtLAE+voi6CrsYPNMYExaECpqJF8kHEPMHUS4x4VwrxuBpn74G/rAR2fPw3S2\nYL2yGpX/esPIAQHoenoP+t44DmT6KSKA0gevRq5EfZC23+247NTgKJZByYNrEhXo7UZQWhVAAHw4\njqjLj3CPG4HzfXAdbkOkb/K+WBijGsbFZTDMKYS20g7aoAGtZ0EwNCK9boS6XPCd6YbrQPOkGo8U\ny0A/Jx/a6jyoc01gcw1gLHpQGhoky4BgqGEVOi4UQcwdguPdBnhOdk3q/ChMjKtWf13WeaHgIJyu\nJrhdzfB6uyEI6YVTSfVz+NBvEYko/xtyYCsKkfvIA0nHer/3u1m1qFVQmC10d2enxpGy4zLD8Zzo\nhOfExKuoKkyMi2pOl9L3yhH0SRRcTAsB6PrbXtivqRNJ9upr8maV4UKqWBiXLIeuag4Yqx2EigVi\nUcSDAUT7euF8bxtiHjfafr8TAMCYzCh5+IvJjVCAth4ID21HpG/yQuVi3nBCjnh3w6T1IQcuEhvz\nM06yahR++ONgLHlwvbcT7sN7p3iECtkkFvPD6WiE19sBj6djSotBKsiDyLbqjYKCQlZRClAqKMjA\nsqIqKTeCj8TR+0/5OvhjwUfj8J/vFR2fqOTuVEKyLIru+xSsV18LtrAYpFoNgiRAsCwYixXa2npw\n4eQieALHIeYYAh8MAkqokyRsXgFUuXkgGAa6+vQKeCrMPBhGD7O5EhZrNazWWqg11vEvUlBQUFAY\nRtlxUVCQgXFeciij/3wvuHB6Ra/GQkpBjBol7amtqEb+nfeJzhPiHIRoBFGXA5GeTjjeGb9IVbYx\nr7wajC2hsBbu6oD32AHEfT4QDANabwDFqsFHku8x7veh80+/TrwgCGiKy1Hw4QdGNz1r0VbUgPP7\nEBnMXOkr0t+L6GA/GKMFvpPZMZQVphdWbQKrNsFuvyAVG/HA5WpOSBx7OsDzSpivgoKCQioUw0VB\nQQaq3GQVsehgdkM8GKNY6YoLyxNVIGgKBK2FWquFuqgEBKPC0I430pYfnQj62rkAAD4cQt+LfwMf\nTTO5WBDAx2ZBQrJMGLMF+Xd+FL6TRzH4VubFv/hIGF1P/i6LI1OYEgROtpoYy5qQn38F8vOvAM/H\n0NLyFlzOZsRis1+YQ0FBQSHbKIaLgoIMxIXNshfaRNAUNBL1YCIDnpTX+M+eRLDx3IXrGVB6PdTF\nZdBWVMO4eBkgCBjaLl+KeyIQFAXabAEAhLs70zdaLkM0ZZXTPQSFaeTAgZ9nVL+FJBlUV98CCAJ8\n/m44nY1wOhoRCjkmecQKCgoKswPFcFFQkEHcm5yfweZPrLLwpdiuqpEsIDlWXY7o0AD8588kHzyw\nB2xhCYo++kkYFy+D5/BexNyTXzGXZEbqs3ABJdkYALRlVdM9BIVpJB6PYKD/JAb6T4KiWFht1bDb\n6i8YMTK+dgkCBkMxDIZilJWtRzjsgsvZmAgn83alrT6moKCgcLmgGC4KCjLo33IcpiVlw68Nc4sw\n9/t3o/H7ryE2yqiRDQFc8cTDIjUxABh44wRc+9IvahbpuaBORRAwLFwK5+5tKc+ltDqYlqyEtrIa\njNkC0CrwwQAifd3wnT6BQPM5yVoM5hWroSmrAq03gNYbQLAjhcwMC6+AYaG4WnDfi39HsCXzasjj\nkem9SGFbdwPUxWVgjGYQrBpCNAIuFETMOYRQewsCTQ2I+5J3w8zLroQqrwCqnDww1hwQZEKZyLBg\nCQwLloj6aP3Z/0CIi3MZCJJExSPfkhyX7/hhDG59TdY9AACbXwDjwmVQl5SD1iVCHeN+L0LtLfAe\n2Y+oS9qLn3fLXdDVzYP36EEMbX8dtN4A09JV0FbWgjaYAIJA3O9FuL0FnsP7UrZzEU1pBQzzFoMt\nKAKtN4KgaQixKGI+D6KD/Qi1tSDQdFaUA3W5wHERDA6cxuDA6aTjJMnAYqmC3T4HFms1SDJ1gVa1\n2oKCwhUoKFwx2cNVUFDIIrUPLkP57SPCKkOHu3Dkv1N/L08nhRuqMf8La4ZfN/3tKFqem6By6iSg\nGC4KCjLwnulGuMcFdaFl+Ji2PAdzf3APel86DMeeRnBBGQsvAtAUW2FaWAr7tXMljZaYM4CeFw5O\neMwEkVrWU1dTj9ybbgfBJi+WKIMBWkMdtDV1CLY1Y+DV58FHkouPqUsroCnLrGr8ZDCRe7kUgqJg\nW3cTjEuWJR/XaEBqNGCsNmir5yDmcYsMF8uaazOq3jwaAYndNEqjA6nWZFapmSRhW3cDTEtWAKP+\nBxirDYzVBsOiZXC9tx3uA3tSNsNY7WDzi1Bw530gNck5WIzFCsZihX7eIvS9/CxCbRJGNkEg98bN\n0M9fJH6LZaFic6Gy50JfvwDssSIMbduS/r3OYng+BofjHByOcyBJGmZzJez2ObDnTEw9zp5Th8GB\nk4hGA+OfrKAgQf3Dq1Byc13SMX+XB+9/4SVZ18/5+HKUbZ43/FrgBWy988msjnG2oM1Lzo9Vj3qt\nkD6K4aKgIAdBQNvvdqLuex9KOsxYdCj95DUoeXANgm1DCHe7EHMFwEXjgCCAVDEgVRQYsxZsjhHq\nAjMoPZuiE4APxdD0f29KqoylS8wp7QnXVtYi77a7AYIA5/fDc3Q/Yg4H+FgEjNkCw/wlYAuKoC2v\nQt7me9D7j78kXT/42vMgqJFHB6nWoPgTnwUA+E+fgHO3WNWMG8NgmChp3cvzT0uLFhAE8m67B9qq\nWggcj2DjWYR7OsGFgqDUGtAmC7TlVSBZFsG2JtHlHY//bLj6A8EwKPnUvwIAAmdPwbHrLdH5Urst\nAACeR9effzv8kjGbUfKpL0qfm4Kca2+GYdFSAEDMMQTv8UOIDg0ABAHWngfjkuWgzRZYr7kOIEm4\n970r2Q6bV4D82+8FqVbDf/oEgs0NiIeCYIxm6Octgqa0HATDIO/mD6H98Z9DiCWr7BkXLR02WiK9\n3fCdOoqYxw0hHget00GVUwBNeSXY/MIPvGIaz8fhdJ6H03keg4NnL+zC1ICmxaId41FWth5lpevg\n9XZiyHEOfb2HJ2HECh809EUm0FoV4sHx1TSNNeKczQ8qwb7kKvbBTqW46URRDBcFBZn4G/sgcLyk\nF5ygSOiqcqGrys24/eigF00/fQvB1sGM26DUiYWOEIsj0CQuXkmqWORuvB0gCET6etDz7JNJC85Q\nO+A9fhi5G2+/sDgV76xw4WQjhLrEEBDiMcSnMM+FVLFp3YuhbgF8Z8Rb36ZFS6GtqgUAdP3pV5K5\nQQ4k6tVIGT6X5vaQqhHDlJ/gfPCR9CS3NeVVw0ZLqK0ZfS/9HQLHDb8fam+B58RhFNz5UaiLy2Bd\nvT6l4UKq1YAgoP/l5xBoOjt8PAzAd/oY8jffA21NPUitFrrqOfCfPZl0va66HgDA+bzoeeZPSeMA\nADScAd7bDtpoQtybWojig4bL1QSXqwkEQcJkKofdXgerrQY0nUZdJ4KA0VQKo6kUOfZ6DDka4HQ0\nIBLxjn+tgoIUBGCstsF5QlxzLOk0koCxyjZFg5r5tL9yBsbqHJhq7fC1OtHw54lHU3zQUQwXBYU0\naPzhayh/eB1UOcastclH4xjcego9LxwCF0q/NgxB06D1BmhKK2BemYhPdb67DVxILKdqmL94OOxn\n6O1XRV7yizje2Qr9PHGIz0zDMH8xAPn3op+/WGy4EARMyxPzJnD8mIIGMz0Pw7zsKgCJ+xh86xWx\nsQBAiEUx+ObLKHnoC6JQstEEzp1OMlouxbV/D7Q1CeOEzS8SGS7D/fE8hDGkuRWjRRpB4OF2t8Dt\nbgHRTMJkKoXVVgebrQYMo5fdjsFYAoOxBBUV18Ln60mEpw01IBJR5j3S2oPOL/xguocxo+EicVBs\nYqloqs0Z13DRl1mGz4+6Q1CZ0981vJyIuEM49O03p3sYlxWK4aKgkAbek1049W9/R+4NC2DfUJ+U\n85IJXc/sg2PXWcQ86SX4W6++Ftarr5V8z7HjTXiO7Jd8T1uZ2FXgAgFEBlIXRuSCAXCBACidLq1x\nTTXaytq07kVdUCR6n7XlgjYlVOKCjdKL9NkAwaigLikHAIQ72xD3pfaux9wuhHu6EnV/KErSwAEA\nXwpjBABirqHh3ymNeDcg1NUGTXklaJMZebfcBefurYh5lDCJTEgYMW1wu9vQ2vIWjMaSC0bMHKhU\nco0YAgZDEQyGIpSXXwu/v/eCEXMO4bDyd1GQxtvsgGVuHgDAXD1+CJipJmf4d9fpfuStLp+soSl8\nQFEMFwWFNOFjHPq2HEPflmPQlFhhnF8MTYkNmmIrGLMWlJoBqWGGF4RClEM8EEbME0Zk0ItInwfB\n9kH4G/oQc2e3yFyw+XxKowVIKE0BAKXTofIr/ymrTYJRpdzNmG7Y/AKQak0a98KI7keVlz/8e7i7\nPetjnCpUNvtwGGNkYGyvKABEB/qgLiqBypqDyKC04RcdTC3JfenuE0GKwyc9h/dDXzsXqtx86ObM\nha6mHsG2JvjPnkCgqQFCTF6BVYVkBEGAx9MBj6cDrS1bYTQWwWarg9U2BywrfydYry+AXl+AsrL1\neH/P9ydxxAqzmUC3Z9hwkZO7YqoZCRPztbsUw0Uh6yiGi4LCBAh1OhHqdE55v0kFKCka9htuBcHQ\nUNlzUl9EkiBZcb2Y8SBIMovlNrNIlu7n0t2CuG/21qG59D54iTDB0XChhOrUaMWwpHPCmRvWQiyK\n7r//Eeblq2FeugoEy0JbWQNtZQ2ESAS+MyfgOfw+Ym7F2585ArzeLni9XWht3QaDoRA2ez1s1jlg\n1dmrNaXwwSU8EBgOF2OtWrA2LSKO1M8FU81Inqe/ffLriCl88FAMFwWFWcjoApS0xQrLVWtBm1KH\nrhHAcE5DtL8Xg9tel9UXP0N3Wy7eTzr3AkjcT1Kex4w00dJnnNyVCyeNf0qKEDK5CLEYXO/vgufw\nXujrFyRU3vILQbAsjEuWw7BwKVx7d6UUCFBID5+vBz5fD9pat0Ovz4fNXoeioiune1gKsxiSpZLD\nxWpy0O+Q3pmm1Qx0JQmDOe6PIjyUniQ3a9Uid3kJTLU5MFRYobZqQelUEHgeXCiOiDMAX6sLZ3+/\nD1wkhTKjDMx1uSi4ugLGGjs0uQaoTPIdYPseeQXeVmlnpa7YjNW/vH3M69tePInzT2VP6U9faoZ9\nSRGs8/OhKTBBZWBB6xjwcR5cKIbQgB+Bbi885wfhPNGLQE/2c9uu+ult0Jdbh1/7Wh04/J23EfVO\nTk6oYrgoKFwGuA+8B8O8RaBNZqhsOYg6xMpkAs9DiERAsCwImkGkt2saRpo9hu9ngvfCX6KSNtNz\nesaCC44sEqRyTkZz8Rw5uzMThY9E4D12CN5jh6Cy5cC4eBkMC5aCoClY12wAojG4j+yb9HF8kPD7\n++D392Fo8Cxs9jmw2+ZArVFkahXSg9Yw8DQMjISLVdvRv0/acDFW24aL77rPD4BUjV/biqBI5K0s\nQ8mmOljq81L4U0hQKhoqkxqGChtylpXg3BP70bu7Ja170eTqMf+LVw/fy2zGVGNH1b2LYb+iWPJ9\niiJBsTRUZg1MtTkoXF8FAOh8/RzOPp69Zy2jZ5OMFm/TEA5/dyti/skTslEMF4UZRUXOVSgwzwNJ\n0nAHOnCudxvi3MxWcgIAHWvD8sr7ko4davk7/JHMpY3TQYjH4dj5FvJu/zDs121Cz7N/ljwvPNAL\nTUk5GKsNlEYrqTw2mwgP9EJTXDahe7k0v0NdWArv8dlZ9yI6NAAhFk+EDOYWjHs+m5c4J+ocGufM\n7BJ1DGJo+xvwHjuEoo9+EgSrhmnZlYrhMkkEAv0IBPrR0b4bWq0dNnsd7PZ6aBQjRkEGJEvBdWrk\nGWmqTR2OfOl7noahYXWxsTBV2rDw39emNSbGyGLBl68BrVOh8w2x7L8UukITVnz/ZjDG5DpqMW8E\n8VAM6hzdsNF1KVwojmCfF6E+H4K9XoSdqb9n4oEIBvZ1QFtsAmtgQRtYyTYnStmmetR+YnlGBYod\n46jCpQOjY7H0OzcMv/acH8SR725FTEatn4mgGC4KM4oy+0jVcruhCiURB1oHlQWNHAJN5xBsa4a2\nvAqG+YvhO3VMdE6o+Tw0JeUAQcCweBnce3dP/UCzyMX7mci9RAb6wAcCIHU66GrrgTfkVYdOhcCN\nhDBQGeTgZN4vh1BbE7Q1dVCXlI9ZH0VlsYG9oLCWSlFssok6BhFsaYKufj4ogyER3iZcJqF6M5Rg\ncAjBjvfQ2fEeNBprwoix1Y1/ocIHFoqh4D43MPzaVJXYVRF48WfVVD1iuLjPD4Ckx19YuxsH4TrT\nP7wLwsd5uM/0w9M4CH+nGzFfBAABTY4O9iuKYV9WPGwMzPnEcgwe6kJ4cOzcRIIksOir65OMlqGj\n3Wh66vBw2BetVaH42mpU3X8FKNXI0vj4j3di6Gj3uPcBAP8/e+cdHkd57f/vtJ3ZvqvebBVbcu+9\nG2MbsCG0ECC9J6TcJDft8ksCCbkpFxLSSEhCbm4qoRPAprrjgo0t2xhbli1ZktX79t3Z3Zn5/bFY\n0mhmq3bVPJ/n8fN4p74zmjNzznsa3+/Hqf/ZM+TEwJTrZmLW51YmtH8iTPvAQky7e6Hy3L0+9J3t\ngL/Tg7A7AEJHgcsywlyeBcv0bJAMhaDDj+7jzWkZB2PQYcn9WwZ69jjOd6H6gTcQ9me+6MqkNFyW\nlX8YRi5Ltuz4pcfh4Ud3ZlFj5HCMbayHMKHo2/0KDJ/6ErI3bIWvrhZCQF5m2fVONWzL14I0GGBf\nuQGhrk5462ujHo/NLwTfmb4ZmnTjeqcaWRu3JnwtYadDcU8ginCcOIKs9ZtBMAxokxlhj1v1GKRO\nBxBEzH4ukiBA8HhAmUxgi6emdF2p0n/0IAzTZ4AgCeRedzM6nn8cUlgeC04wOuRc977MGgokCa5o\nKgItjdE30emgKygCAAhut2a0jDJ+fx9amg+jpfnwWA9FYxxDUCR4hx+BLg+4PBMoAwNjsRUelQ7w\n1qqIF08SJbgu9MA+t0CxjRqNz50BSZJofv08uo42Ixxlxr75tVpkzSvA0geuBwCQDIWpN8zAhb/F\n9pLnry6DaeqgLtF3pgMn/3uXzPgK+4JofOkcfJ0eLLx308DyaXcuTNhwUSABQjD1XJzh5CwuwbS7\n5EaLr8ONi387Hgnfi/IKpVgaOYtLQDIkJCF6T61EoQ06LL5/y0CVuf5znTj5w10IB0anUuSkM1wM\nrE1htABArqUSnm7NcJloeEcp1GqyEOzvBRCpFJW1YQu6X3tRtl4M8ujc8QwKbv9wJLb41rvgb7oE\nf0Mdwl4PCIIEZTCCyc6BfmoZaKsdl372g4yPmyBJWcd5gmZA0LRC6R6OGOQhCWLC19L6l98rDRcA\nzuNHYCivBDelFFM+9WV4a88h0NECkQ+A4vSgjBawBUXgSkrR8fzj8DfFjq321Z2HeeFSUEYjTLPm\nIexygqBpUAYDKM4A58lj8W8KSYJkh94TOm5par6jFf1HDsC+egP0peUo+ejn4Tr1NoI9kRlTNrcA\nlkXLQNvsA9edCQiSRNFdH0PY6YS/sQ58ZxtCTgekcBgkp4cuOwfmOQvB2CPvaueZiRmep6Ex2bkS\njuS40I2CvEjPIEtljsJwuVJxDAC8Lc5IuFBCRUKA7hMt6D6RWJ5i3xl56fas+UUAYr8/8lbIJ5Dq\nnzil6jECgK5jl+Gq7x3wJFhn5ILNMoCPESI2GhAkgRmfWi7LAXLV9aD6h2/ETYIX+DA6jzQmf1KV\nW0TrGSy5b4ssLLD6gTdGVCwhWSad4ZJrroyyfDoaujPzkdZIH009b6PQNhckQaHbfREtfcpwJ43Y\nCG43KLN5IFws0HpZtt5/uQHtT/8d+TfeDspkgr60AvrSilEdI1tQiLwbcOHWHgAAIABJREFUbgPJ\nciB1LAgdI1tvX7Ue9lXrIQkiJD4AMcjDXXMG/Yf2Ko6VzLVIonpYlCSK6Hj+X8jdchOMs+bANHcB\nTHMXpHx9fYf3QV82DbTNjrztt8nPxfOqhgtlMKLoAx8DybIgdRwIVidbb5qzAKY5CyD6/RCDPPyX\nGxSGKQD0H94HSRRgX30NmKxsZG+6XuWCJTiOHULfwT3KdWmEtlphXrAEZiyJuo3n3VNwHj2Y0XFo\naGikxhU92VnbjYK15QAiTSbb9tTJtrNVycPEMokkSgPhYsbi+GW/zeWDvWXEkABnnPH1n+scMFwA\nwFxmH3PDJX9lKYxFg32aBH8Ypx/al7HKXQAgDvMW0RyDxfdthXXG4N+691TbqBotwFVkuBhYO4xs\nNrx87yiPSCMZGrqPaAbmCOk98Drytt8OEARytmxH69//qMhjCLQ04vKffgXz3IUwTJsBNrcA5JUq\nUz4vgn09CLQ0wVt7NiNjJBkOTHb85GCCIkEYDCANBjAW9Q9UMtcSKxFdDPLo3PkMcng/uJKpYMxW\ngNFBCvgh+LwIdnfCe6kWgbb4M4OCz4uWv/8RtmVrYF28AqBpSHwAYZcDgTb1sAOCosHE6sPzHqRe\nD1KvB2NTepav4HjrTfgunodl0XLoSytAmyyAJCHsdSPQdAmu08fBx2guOVKkcBit//gTTDPngi0q\nAWOxgeT0ICgSUiiEsNuFQFuzqmGtoaEx/nBeGIx+sKo0ohy6zHk+s5ES/k43DIURJZ7iaJA0CTEc\nPQRKZx70XIe9wZjbAkDQFZD9ZkxslC1Hj+GNPFt3XYC/K7N9x0K+wdAvimWw+L4tsM0c/Eb1VLfg\n1P8oJxMzzaQyXPQ6G0zcoPBIkgRiiKsyz1KJhm7NcNGYmPga6hIK2/LUvAtPzbtxt5PC4YEStSNB\n8PuSDifzNzekNQQtXdcCAD27dqZhRIDIB9B3cDf6Du5OaPuw25nWexLs7U7pWjp3PAPseCahbWON\nl+9oBd+RYmy4hobGuMLV0AcxJIBkKJhK7SAZCmJocELMUjmkotiFzBouYY88XJakqZjGiDQkf45i\nmajbXYHm5KqxMAoJ5/EYXsK5bW99xs8pvGe4kDoKi7+3GbZZg81Fu99uxumH9smegdEi+Vpq45g8\n83TZ705njex3zrD1GhoaGhoaGhoasRFDAtz1kQpcJE3CUjHo8SVIAtbpkUnjsDcIT4sycT+dSEkW\n8vC2DlZXpPQ0DIWxw8vMFdmy39529WItowWbbYDOph/4LfBhuJvUm2Cmk5CfBwhg3lfXwz5n0HDq\nPnoZpx/cOyZGCzDJPC45FnmYWLvjLLJMZdDRkbARI5sFI5sFL5/5P7iGhoaGhoaGxmTBcbEb1vdC\nhayVuXDURjwrxilWUPqIOum40B21ulUicDlG2OcUwFxqg6HQCsbCgjGxoPU0SB0NiqFAGeJ7TYbS\n/VaTzGNRduscnPudejU9c3kWshcUDfz2tbvgzbAhFg/WIi+r7+/wRC0ukE4EXwgzPrYM+atKB5aF\nfSGc+dWbccPtMsmkMVw4nRVmbtBVGRZDcAU60e+9jHzrYJ36XHMlvPzRsRiihoaGhoaGhsaExHm+\nG7gp8n/LkJyWof1bnBeSr95KkATyV5eh7OY5sExPf2PUll0XUXrrPLD2iNeiZEsVhEAYl546Levw\nnrOoGHO+uEbWNLLu8ZNpH0+y0CZ5oZawP7MNHq9QuH4apmyT93miDQxm37Ma7zy8f1TGoMakMVzm\nFN8g+13feQCSJOJix37kWWYM5LqU5a5Al/sifAl6XYZ3RL/YsR+t/acHflMkgxxzOXJMlTDo7DCw\ndoSEAIJhH9z+DvT5mtDjrk/atTkUA2tHvmUGLPoCGHRZoCgWNJncjENYCOLghd/HvDYg+W7vi8s+\nAIt+sFZ7a/87uNixL+5+ZTnLUZYbvynTmeaX0OtpSHg88aApFjmmctgMU2DgssDRFlAkA5KgIIgh\nCGIQgZALvmA/XP5OOHwt8AdTnW0ZEldLMsg2lSPXHHlOdIwBNMnCy/el7TnR0NCI8Jc/ZmHJEl38\nDYfwrf/nwCuvBeJvqHHVU1RI4aXncqEb9oi98FIA3/3+2M7OZ5KOww2Y0bsMbLYBhesrUPunowi6\neUzdPiuygQRcfulcwscjGQorH7oRplL74EIpkvTdeaQJjvNd8He6FbP7q391i6wvSzzC/hD2f/JJ\n2GblY/Y9q2CaYkPpTbNRetNs1e0FPoy6v59A08s1I/IepQvBr6zuNRpM2TYTYkjApafega/Nhfnf\n2AAQQMG6chSsLcep/9mLrqNNozKWoUwKw4VjLDBzg0lDEqQBZTcs8uj3NiPLNFjHO888HY18An0U\nVDCwgwKWa6lEVcE1YCi5G09H66Gj9TBx2Si0z0Eg6ML5jt1weJPvWDq35EbkmEe3VO1khCZ1mJqz\nDMX2haBISn0bSgea0oFlTLAailBomwMA8Ab60OmqQXPfSUhS4u7RsBRJbMs1T0dlwTXQ0XrFNiYu\nOy3PiYaGhobG6LBpI6cwWgDgus0cvvv9UR/OqOK80I2890KHLNNz0H+uc8CI8LQ6EfImXp639OY5\nMqNF8IVw8qe7Fb1aFCTWHkaBo6YTdf+oxoJvXwOCJCCGBIghEQRFIOQKwN3Yj77TbWjbf0nmiRlr\ngm75WLg8U+QeZNiocl/qxTsPHxjIEdI/bkblhxZHVhLAvK+uw7F7XXA39md2IMOYFIZL7rCke5ev\nHcHwYM3tHne9zHDJMVeisSc1w8WoiySkVeStxtTspQntw+ksWDDlFtS2v4EO5/mEz2Vic9JitATD\nPngC46v5piCGIUECkeobKAlYxoz5JTerNiZNBCOXhXzMwuXe5JrkCQKP8txVKM1ZltD2qT4nmcRi\nJnFoX55i+X0/cOL5F5WNHDU0xgPtHSL6+yVYrQTISVWCRmM8kJOj/lBxesBkIuDxjINp+gzhGGq4\nVOZA4IWBJpXO2uT6txRtlOtuF/5+Ir7RgtTLExdvrsKcL6wGCCDQ5UH1j3fB0zT+PWSBbg/CvhDo\n93J7aAMDU7Et40UQOt+6LCts0PDMOzBNsaFwfUQvpTgai+69Fgc+l1gVynQxOQwXi/zh73HLu1r3\neOpRiY0DSrKJy4aBtcPHJ28lGtgsFFhnKYwWH++AP9gPESLMbC44nUW2niAIVBZcC3egK6HiAAzF\nYd6U9w38liQJXa6L6PHUIxB0QpTC0NFG2AwlKLTNVczmt/W/i9b+0wiEXBDEsS/lN5zmvmq09J0E\nQ3OgKQ46Sg+a0mNuyfa0nocgSMwt2a4wWiRJgpfvQyDkgCCEAIIATbEwMDZwrFVhULU54pcXHk62\nqVxhtFx5TsICD5JikGueNmy8yT0nmeaaDeofiK2bOc1w0Ri33Htf5INOEIDVQsJmI2G3kbDZCGy7\nXo/rt3JxjqChEZ3ubnXPu8stTWqjBcBAQj4A2CpzIA5pPphM/xaSJmUNFQGg81BiYeE6a/Lyayy2\nYvbnVw54Kk79dM+EMFqASMNNR00ncpaUDCwrWFeBun9Vj/pYzv72EAyFZljfK3/N5ZkUpbEzzYQ3\nXFjGLMuxAIAej9xwuZJvYtEXDizLM1emFC6mow2YWbRl4HeX6yIae47Ax8sFwKovQGXBtTBxg2X1\nKJLC1OwVqGl7Je55puYsA8uYAACiJOJM8wvoHxZC5OX70O9tRmv/KcybcousOEG2qQwXO/clFdo0\n2kiQEAz7EQz74UNmXI255umyMEIAaO47iebe4wiG1RVvimRgM5Qgy1SKXHMlKFKHTleN6raxGI3n\nJNNs3az+gVi5koXFTMLlHr/Pl4aGJAEOpwiHU0Tje6HYVgupGS4TiNKpNK5E9/Z0i3B7xv6ds2df\nAF/7DzPYYfM6Tz87tt3VRwNXfQ/EsBgpiVyZCyE4qLA6LibucaE4RhbyJYmSIiQqGkOT5xOlZEvV\ngGfIdakXroaxnxhMhq63LssMlynXz0DzK+fAO0Y3L08MCjj1kz1Y+dBNYLMjFXtnfXYFzv5WvUpb\nJpjwTvRcs7wEsifQq5pM3e2SN+vJGbZfKtR3HsS51lcUyigAOP0dOHX5GQSCLtnyPMt00FRsNydB\nkCi0zR343dRzVGG0DCUY9qOm7RVIQwIeWcaEbFNZglcyeRl+DzqdF1Df+WZUowUABDGEXk8DLnbs\nw5G6P6G68QmEhdTjXTP1nGQao5HAqpXqY6Cp6N4YDQ0NjXSQlUVix3M5ePGZyL9rrxkf75z2DgFf\n/Eo/3j0bgt8HtLeLePQPHvz20cx2Mh8PiEEBnsaI0q+zcshdOgVAJD/F2+yMtauMsC8ISRg0QgmS\ngD7PFHc/LtuY5IgjGArMA/+n2Ik3Z9+2vx58/6DewlhYzPvahjG5Fr7fj5M/3g3hPW9b8eaqqIUO\nMsGEN1zyLPJQm16PejfRbk+d7LeJy4aeTbwqxXC6XHVo7ovtpgsLPBp6jsiWEQSh8BANx6ovlFUN\na08gTMnHO+D0tcmW2YxT4u432dHR8hehO9CZ1P6RkLLelM+fyeck02zcwIGJUbwkmjdGQ0NDIx2s\nWsGmnIidaY6+zePuj/Zi+boObL2xC7/7oweh8OQOE7uC88JgSBipi7jDHBe6k+otIokSXBfl39by\n2+fH3MdcZseSB65LYqSDBIYo/cYSK+Z+eS0s5Vmg9aNToWukiCEBF/9+XLYsa34hlv9kG7LmxtcV\nDIUWlN0yV9ajZiS4LvXi7K8PDRQIqPr4MmQvSs+x4zHxzM4hsIxJFv4FKPNbrhAIuuAOdMvCqfLM\nlWji307p3Je6Dya0XY/7EiRJGijHDABGXTb6EL2EnF43WGUjEHTH9A4MxR3ohM1QPOQ8qSWjTyYE\nUV7v3MzmRtkyM2TyOck0W6+NbZisWslO+kRUDQ2NsWPVivHhYdGQ46jtxpRts2TLUunf0rL74kBD\nSwAo2VoF1qZHy+u1cDc7IAUFMGYWpjI78leUIm/lVBAUid7TbUkr4O3761GytWogzKxo03QUbZqu\n2E4MixB8IfjaXHCc70Tr7rqUk+AJkgClk6vZJEOBpMmUGji27a2HtSoPU66fMbDMXJ6FpT+8Hr52\nF/rOdoDv9iHsC4JkKejMHAyFFlimZ4PNioR1nUtjSFfH4QYYn7Jh2p0LQJAEFnx9I45+e6csoT8T\nTGjDJdckf+gCITfcgegxlr3uepnhkmuuRFNP8oaL09emCO2JhiCGEAi5oNdZB5bRVGyFcGh55ZCY\neAJ0OCyPdaSo5PoYTEZc/g5ZZbY82ww4/G0JebFGSqafk0yi1xNYs0quNPT2isjOHnTSMkzEK7Nj\np5akr6GhkX5WLNe+YeORoQn6g8uSqygGAG17LqJwfQWy5g16DHKXT0Hu8ujRIgIfRstrtUkbLo7z\nXTj3u8OY+ZkVMcOrSJoEaWFhteTCOjMXpTfPRdOOc7jwl7djepSm3b0I1unZoA0s9LlG0EYdKE55\nnqk3zcbUm2ZDCIYh+EIIeUMI+3iEfSEIvhDOPnIIIV/0BpPnH3sLQiCEslvmypYbCi0wFFqi7JU5\n6p88iWl3LgAA0EYdFv6/a3HsWzuTKoudLBM6VExZTUw9TOwK3cPWm7jUOrQ6fK1JbR8W5X9AOq5B\nMSgcZBK2JTmsKaUohqNsefXQ4Twnq6pGgMCMwk1YXH4n8ixVIIjMiUDmn5PMsXEdK0s8bW0VsWe/\n8kUUzyujoaGhkQrl5TQK8ie0ijJp8Xe6EXQMmbCSANfFxCuKDewmSjj1k93oPJJYZIG31YXj33kF\njvPJG0n5K0tRsK4cJJ3kM0UApTfNxqzPr4q5Wfb8QuQsLoFtZi7YbIOq0TIUSkdDZ9PDWGyBtTIX\n2QuKkLeqdCD0LhqSKOHCX4+j+oe74KpLzsslBMPgHWmeaJQi/V6uYCyyYP43NqRUQCFRJqzHhaWN\nsBgSCxO7gpfvhY/vlzWRTAUvn9zDkmxlL39ocJae01lBEhREKX6pOYNOfl180J3UeScjwbAPFzr2\nYFaRPC7WwuVjdvH1CIb96HLVotNZm3T+Szwy/Zxkki3D8ldOnwni+Aked9wmL7u9ZhULo5GA16uF\ni2loaKSP1VqY2LjGeaFnwDPibXMlXBFsOGF/CKcf3AvbrHwUbZoG24w86LONIDkaYkhAoNcHT0Mf\nOo82ofNw00BCf6DLE2nEGAfaoMP8b2xAzqLBMHrXxR70ne1AsM8HcYgXhaRIUBwDLtcA+5xCGAoH\nE/pLtlShbU9dSkZTJuipbkFPdQtss/KRs7AYttl50OeaoDOzA/cu7AnC3+2Bu8kBx7kO9BxvienN\nSZXqH++OVBmzR/SD7IVFmPmp5ah57GjazwVMYMMlxzxd0WtjYelto3LuRHNOUsXpax3Id6BICtnm\nCnS7Lsbch6ZY2E2lsmX9Pq0DOwB0OmsRFoKoKtgElpFXJNHRepRkLURJ1kL4+H50OM+h03kefNg7\n4vNm+jnJFCxLYN1queFy8lQQbx9X9gPS6YAN61i8/OrolmTU0NCY3KxcoYWJjRU1j72FmsfeirnN\nyZ/sjnucrqNNeP3WvyR0TkdNJxw1iU8eJtT0kAAWfGvjQFiZEAzjnQf3oftES0L7Vn5osaxgQOGG\naVENl2P3vpzQuNNNsvctFm176tC2py7+hsPge33Y/8kn0zKGRJiwfthcy8jLGQOAXpd8ZbFMN3QM\nhn2ysLfpeevAMuao2xMEgcr8TbJKZMGwP27o3NVEr6cBxy79DZe6Dkc1KAysHRV5a7Bi+icws3Dz\niD1z47HxZyKsX8uCkztWcORoEN09Ai7WKcMPt2jhYhoaGmmEpoFlSzSPi8bIyFs2VZYLU/eP6sSM\nFgCQgPonTw+U/AUA6/TsGDtojBYT0uOiow2wDgsTS5Vc8zRc7j2R1D6jEdJzqfswskxloEgaLGPC\nkrK70NJXjR5PAwJBJyRJBEPrYTUUYUrWYkXp3EvdBxEW0+8SHE4mc0TSjSCGcLn3OFr6TiLPUolC\n21xYDcoEP5IgUWCbjXzrLLT0n0RD15GEQvWGM55Cv5JheJnjtjYRTZcjL+8DB3lUTpe/Ntat4aDX\nE/D7Mx8uxnEErt3EYe0qFjOqaBQWUqApAv39Ii41hHC8OoTXdwVwuTmz+V02K4kN61gsWcyicjqF\nogIaJjMBigL8AQldnSIuNYZw4mQI/3h85N67ZJhRxWDFMh3mzGZQOoVCfgEFk4EEywLBEODzS/B6\nRLS1C2hpE/Hscz6crw0hGErP369qOoP5CxjMqmJQVUUjN4uEyULCZCQQ5AGvX4TXK6GlNYyLFwWc\nvxDCmwd5rZnpOEFNxgx6AsEg0N8v4qlnfRmVMZKMTJ4YU2vXcVWSrMzX1Ydw+nQorXI/HslbMXXw\nhwS070tuMlcMCfB3eGAqjUxwM2Ztkm48MCENl+FhYpIkKRKbY0ESNCgycum5lsqkDZfRwB90oKbt\nNcwt2Q4gEtJUkbcGFXlr4u7b2H0UHY7kO72nAkVMPHe+KAnocJ5Hh/M8OJ0FBZaZyLfMVPT1IQgC\nU7IWw6ovwunL/1aUVp6M6HQE1q+Rv5wPHh6UrQOHeHzq43KNgmWBDWtZvPpGauFiFjOJQ/vyZMte\n3BHAd+4fLEHJ0AQ++mEjPvExI6wWZdJfYSGJwkIWa1az+MoXTdj3Jo+f/9KNxqb0KlcV5TQ+92kT\ntmzmwER5e5qMBEwVFCoqKGzexGHDOhaP/sGD6lOZe36sFhLvv82AO24zoLg4+mQCy0ZCAe02CiUl\nFJYDuO1mDjwPHDrCY9eeAF59LZBSP4oF83S4biuHj3zQEHUbvQHQG0jkZAOlUymseS/fNRQC9u4P\n4LE/e3G+dmJ6KgFg8SId/vonZRn6HTsDuPe+1EqqqrFpI4tf/VzpEX7yaT/++6fKUqTpkDGOi8jZ\nV75kSquMLV6oQ1UljRlVDGZU0aiczoCLoh/+8PtW/PD7VvWVUVizsSslo/gLnzPjns8mZz09/Zwf\nD/wos6Vgh3JF7r/65ei5HmoyD0RucDrkfjxjLBp8VkJuPqU8HEo/+KIPZ7BSlkbiTEjDJc8srybW\n5bqAmrbXEt7fZijGwtLbAQBmLg+czopAcPReNonS466Hl++DkU2sHwsf8uBi5764RQrSyVh3dx8p\ngaALjT3H0NhzDHbjFJRkLUK2qUy2jUVfgKqCjahpe31sBjmKrF2tg2HYt3rv/kGD5PTpIFxuCRaz\nXLHZsplL2XBRY/bMwVdTfh6FX/3MhjlzEmwURgAb17NYtYLFj37qxPMvjjzXiKEJfPEeEz7+ESOo\n2EVfFKxcrsPK5Vn494sB/PRnzrQWMiAI4K47DPjiPWZVZTNRWDaiDM+exWDnK4nfLx1DYOtWDh+5\ny4DZs1Nv5MYwEU/ftddw+N+/evHbR90QJ6ADpvpkEHV1YUwf5pXcspnDTx4i0+ZVunGbXnX5sy/4\nEj7GWMvYpz9hwvtv0aO4JEmB0hhzuZ8oDH3TJl1NDACXZwKXM/hBDHSPrvdcQ52JE+fzHjpaD+uQ\nJosA0ONJzv3n9LfJ8hzyzNPSMrZM0OWqlf0Ohv2QJAmSJCEY9sMT6EV7/1mcbdmJt+r/b8RGy9AG\niImgo9U/oBORfm8zzjS/iFNNz4APeWTr8q1Kj8xkZMu1yr/nseODngJBAA68qZx1Wr+GA8elr/xh\nRQUNjiOQn0fhr3/KTlyhGgLLAg/cb8XHPzKymBOblcRjj9rxqY8nb7QM5Zb3cXj8LzkoKU6PomYx\nk3j0N3b8v29bRqS8DOXfL/qTMhjy8kj86PvWERktQ6Eo4LOfNOJbXx/9fgTp4qlnlcYDywI3bU/P\nu9JiJrFxvdIlUXshjJqaxL1VYy1jM6pozWhJgfEg9xOFQM/gd5wyMLBOSy5HZcZHl8rK+nYdTzA/\nRiOjTDjDJds0TaZci5KAPk9y3cUlSUKfp3Hgd06aEv3TDUEQKM+NxFKEhABOX/43Dl98DPvP/wb7\nz/8Ghy8+huMN/0Rtx250u+shScnN5KrlwFAT3IOSDhy+Npxufl5xP7MMpVH2mBzoGAIbNyj//sGg\n/D7s26/0rHB6YN2a9D07JAnMnaPDrx+2q4Y+9fVKuHAxjLePB9HviP3cf/2rZtywNbXYZLOJxB9/\nl4Uli6OHRIaFSJ+bd86EcKI6iMYmAYEok5cVFRT+/MdsFBeNTGHLyiLxlz9lKZqExiJeypUkAs8n\nMWMPAC2tAl7fFdvT1t0j4sLFMI6fCOLk6RAam4S4Y/nQXQbcmCZFf7R56WW/6t//9lvTcz1bt3Bg\nVGyMZ59P7m+XjIzVXgjHlLORyNh4pa9PQFf3+NLmk5X7RNIsU5H7iULPSXkvtdlfXA2dJf69Y7MM\nWPita5C/pmxgWdAZQNfhxjSPUCMVJlyoWN4wI6Pfczml6k09nksosM0CEOnpweksCXc5Hy2mZC0Z\n+P/Zlh1w+NrSevywoJw5N+qy4fBqZZR9fD9c/nZZ8r6OntzZoitX6GAyxp/BO3iERygEhfK0dTOH\nN3anL1zs5z+xISt7cDxeL/B/f/Pgjd0BXGqQx9UvnK/DXR8wYPsN6srTd+614sixIByOxBURkgQe\n/LEVs2aqvybfPRvCP57w4cABHm6P/LgMTWDZUh1u2q7HjdvkYyosIPHbX9rxwY/3wudLPmyMZQk8\n8gu7okjCUHp7Rew7wOPoMR41tWE4HCKcLhEkGTHGSkpoTK+gsGgRi9tujozv8FEebe3JF6H489+8\nuH6I0lpXF8beAzzePh5ETW1I9Z6bTAQ2buDwmU+YUFGubsR98bMmvPqaH+EJ1kfX45Gw81W/wlCp\nnE5jwTwdTp8ZWa7TTSphYsEgUipJnoyMARE5+/v/qYcuJytjL7/qR+0F9T/utHIaN25XyvIbuwM4\nV5PcAxHgUwvNfOJpH5542geDgYDdRsJmo2C3EbDZSRQXUvjSPfF7iKSTeHKfjMyvXKZDUVHEWE1V\n7icCHQcbUH77fBiLIh5cc3k21jxyG1rfuIDeM+3wdbghBkKgDSzYHANMU2zInleI7MXFIJkh7yUJ\nqPn9kYz0QNFInglnuNgMJbLf3UmGiV2h33sZgiiAIiMPZ65pOpr7qkc8vnRSkrUIAOAOdKfdaAEA\nQQyCD3nAMoMv4FzLNLT2n0pof46ZuOEciUCScvEIC5O7V8nWzUqFSG3GzuuVcPQYj7XDPCwb1nJg\nWQJ8iorCcIYqVKfPhPDlr/Wjv19dKTr1ThCn3gnijd0sHvyxHbphDhKrhcBXv2zG93+YeC7bh+42\nKq4RAEQReOhhNx5/0hs1vCIUlnD4LR6H3+KxbGke8vPkM9rTptG495tWfO8HySdsf/0rFsybqx7W\n43RJeOx/PXjiaZ/q30EQAIdThMMZxLtngX+/5MfjTzDYdh2Ht0+k9lGuqQnh6NtBVFYweO5FH371\nSPzGtx6PhB07/XhjVwD//X2rzPC5QkkJhQ3rWOzeO/ESYp98xqfqYbn9VsOIDJfiIgqLFyr/9rv2\nBOB0Je8dSEbGgIicffUb/WmRsb37eezdr/63vfYaVtVwOfAmj3+/NLq5GD6fBJ9PQGvboHKfkzP6\nhkssuf/ZL9xJyTwQqUQ2ErmfCIhBAe/8bB+W3r8VjDXyPDFmFmW3zUPZbfMSPsa7vz6IzreSi+zR\nyBwTznAZGibm8LWiw3EupeMIYggXO/diZuFmAMC0/LXocl8EHxof3eYJggRDRQTNzOViTvF2tPaf\nhJfvQ1jgISE9ymFN2+uyxp02QzHWz/wS6jvfRLvjXUUZYIIgkWOqQHnuahgmQM7Hxln/gbAYQq/7\nEvq9Tej3NsdsLklTLAqss1GWuwI0OfhlDoZ9aEnQoJuIrFnN4uablIrCL6Mooff/0IXdr+RiaA9Y\nvQH4wfes+K/vpq96EgB87ov9OPxWYsrr7r08lqzqwC8etGHzsP7G572zAAAgAElEQVQyt9+ih8sp\n4eFfx/esfuvrFtXqWM+9EMD9DyR3fZtv6MK6NSx+92t5Fahb3sehvDwbH/54b1LHu/tOpULc2yvi\n9rt70NubvPJaeyGE2gsjq+T16c/3pbQfz0v45r0OvPASi0d/o6ySdc9nzRPScKk5H8J9P3Digfvl\nFbBuvZnDu+cMeOqZ1EJzfv9IFob1XUZrizBimRsLGdNInMcezcLK5cpw1bGW+4mAu6EPez/+BADA\nWGJDweoyWKtyYCyxgTGzoDgaYU8QYX8IvnYXvK1OOGq60FPdgrB/8t+ficiEMlyYYfkXPa6RNVjs\n8zTIfueZK8eN10WSRHS5LiDfOgNAxBOSa4leRECURIQFHoGQE+5AF7pdFxLy0jh8Lej3NsNunDKw\njCRIVBZsQHnuKrgDHQiGfSAICjraADOXB2pIo8vLvdWYmr046eujSAY0qQNF6UCTLCiSBUMpX8xZ\nplLQlA5hIQhB5BEWggiLQYRFHoIQTMiAo0kG+dYZA/cyGPbDH+xHUPBDEIIgCAI0yYJjrDBwdlmp\n7Stc6NgzYfuyJEK0JpJ7D6grM13dAs6eCykSejeu56DTEYq8mFQ5ezaUsEI1lEf/6MXmTZxCydu+\njcMvH3HFTERlWQK33aw0Wvw+4Ne/TU0he/MQj0NHeEVs+oJ5DBYt0OHk6cRmPcvL1V/Z9z3gTEl5\nGS8cOsKjr1eSeQAAID9/4iZvv/xaAN/4T4uiAt8dt6VmuMydo0NZqfJ+PPeiH0mmN8oYCxnTSJzy\nclrVaAEmvtyPNt4WB+qfmrwTkFcLE8pwyR5W/SvVMLErDO+gnmsZX+FiFzv3DSjb8SAJEjpaDx2t\nh0VfgGL7fDh8baht3wV/MPZsXE3bq1hU+gHodfLZQZrSwW6cGmUvwMc74OV7EhrfFezGqZg/5eaE\nq5cV2+ej2D4/6voe9yW827IjqTFcuU+JIEkSLnTsHdUS06MNRQGbNigNl+YWAQ0qce5X2LOfVxgu\nRiOweqUO+6IYPMnyeoo5MxfqQqipDSvyU/JySSxcoEP1yeiGwjXr1ZvfvbYrMCIl4fEnfKpJtbfc\nbEjYcHmfSsL6oSM8DhyceF6JoUgS8M7ZIDaul9+f4Ur/RILnJby4w48P3y03gmfOoDF7FoNzSVQA\nA4CbVEKnRBF4YYShU2MhYxqJoybzwOSQew2NVJhQVcXyzIOJ+e5AV9rDuiz6ArCMOa3HHAlGnT3p\nSmFDsRmKsKj0/eB0sRt2BcN+nGh8Al2uuoSP3d5/Fican4CPTy5EhCDIpEsux4IkYtveHY6alLre\nA0C/twXVjU+i3fFuSvtPFJYtYWG3K/8m0eLP461Xy5VJlcNvpa787Fcp2wwAc+KU7l23Vt379Pqu\nkSmIR96K9MAZzoa1OiQqEuvXKQ2fp5+bHP0XOjqURiE5ob5QStRKIwMRr0sy0DRww1YVo/Uwj86u\nkSVWj4WMaSSOmswDk0fuNTSSZcJ4XGiKhW1IOFNvhmbAc82VaBljrwuns2BGwbWy8K2QEEAw5IMI\n5Qw4CRoUxUBHG0ES8i+9jjZgZuFmnGp6NuY5wwKPc60vo7EnC/mWGbAaiqBnbKApFgRBIBjyISh4\n0Oe5jE53Lfx8xIvjC/an4Yozx/n2N1DXdQA2QzGshmIYdDZwtBUMrQdFMiAJChJEhIUgQmE/vME+\neAId6HZfiuupmixs3RwlTCyO4XKxLoSWFgElw3oxbNzAQscQCIZGFi4milCtbJQoJ6qDAJSuk5lV\nsZWqJYuUYRmCABx9e2QzyKGwhGNv85HwmiFkZ5OYVsGgrj72DLzFTKJqWEUhj1fC/gOTo2iEyzP5\nQl4aGiJloJcukT9T267T48GHXfD7E5ORNavUJxeefWFkyutYyZhGYqjJPDC55F5DI1kmjOESFngc\nOP9I2o+7r+bXMdd7+d6428SjuvGphLfVszYsmnrHQChTe/9ZNPefTMizQRAkzFweSnOWy7q/2wzF\nMLG58PDdcY/h4/vQ0H0k4fEKYiip+9PnaRzx/UyWsMCjx30po+Feo/2cpAuSjHROHo7LLeHU6fhh\nCHsP8IokdrOJwIrlOrx5aGRhDJebhRHlyjReVlfIZs6I/dpT62kx0rFcof6SgM2blMtnzaTjGi4z\nVJTBc+dCE65ccDSESXIdw3nqGZ/CcDEYge3X6/FMgr1X1JpX9vdJODDCkMyxkjGNxFCTeWByyb1G\nctAMh6pVHwVnzEbb+b3oaHgrbcdesv27IEDC0VmLuuNPpu246WaCO+InH7MKt8ryL2o7diccjiVJ\nIlz+Dpxt2anoSTPUe6OhcYXFi1hkZytfA28e5BP6MO7Zl7lwsb6+kc3Ad3YKCKhMSqaS8F0fx6hI\nlLo69eOUl8VX9EpVErPPntO0l/HOrj2RwgPDSbQhpclEYON6pVf0hR1+hMIjM6bHk4xpKFGTeUCT\n+6sZg7UQBnMBSJKBvWjOWA9nTNCmRcYRVn0BLPqCgd98KHrZ3liIkoA+72UU6eYOLBvaq0VD4wpb\no1QT27c/sTCEk6d4OJwSbFZ5GMs1G1kwPyJGpFi53SNTqiQJcLpEcJzcMEukyeZwevvSUyWtJ8px\nChJQ9PJyldtcbh2fCgxNA1On0JhRSaO8nEGWnYTVSsBmI2E2EmBZAhxHgOUI6HQEOJYAq144acIT\nCkt47kUfPv0JeUjV3DkMZlQxcUvSbr2WA6uS5vBcGrqdjycZ01CiJvPA+JX7yUJ++TJMmX2DyhoJ\nYphHkPfC52pHf1sNHJ21o1px1Odsh9/dCdZgQ0/LyVE773hCM1zGEUO7tAORPjWpIkha/XGN2BAE\ncO0m9cTPh35qw0M/Tf3YVguB5ct1OHQ49VAWt2fkxoJaDgFFARxHIBBI/PipdLhXw+tT/8AlUj3L\nalVu4x2h4plubDYSP3nAiuXLWEWDwquZp5/14VMfM2JYCiLef6sBP/qf2A0b1cLEqk+F0NA4cuV1\nPMmYhhI1mQfGn9xfPRAgaQ4czYEzZiOrcC58rnbUVz8D3js6+b7hUABnD/xhVM41XtFCxcYRNCXP\nFQiLqSt9ekZeSSwY9qR8LI3JyaIFOuTlZu4VEK03TKKkow9ENIPDbEruun3+9CgKPq/6eFguvuHC\nsspt0qF4pgOblcQ3vmrB7lfysHaNZrQMp61dwKEjyvf5jds51b/rFQoKKCxdrLyZz/975N4WYHzJ\nmIaSaM/GeJH7q4GO+kOor34a9dVP49LJZ9F87lX0tp2BKEYmhw2WQlSt+DAoWn0SUCP9aG+WcYQw\nzFDhUizNzDJmZA1JzgcAdyC5fisak5/hXa/TzaaNHOgR+HTJNESbUFEisMQky4ynK/AlWnnfRIZD\nqtRMHg9N/lavYvHyi7n42EcMKRkskgj4vAA/yVtSPPG00tgwGQlcvyW6HN60Ta94+HzeSE+hdDCe\nZExDiZrMA+ND7q8WPP3N6G+vQX97DfrazqKz4RgaTj6Ps/seRcDbCwBg9XbklS8f45FePWihYuOI\n4Un4sZo/RkNHGzC3ZLusLHIw7IfD1zzi8WlMLoaX5U03dhuBZUtYHDmamkZKp6Giql6v/uH3JDlj\naTCkZ44n2nF4Pv54Qirlpcc6l+B92/V44H5rVOW1t1fEiZNBXGoQ0NgURl+fCIdThNMpwu+X4PNL\nA9f+7W9YFM0aJxNvHuLR3iGisED+DNx+mwEv7FAva3zjDcowsZdf8ydcRjke40nGNJSoyTww9nKv\nAfB+BxpPv4iZqz8BALDlz0T7xTfHeFRXB5rhMo7o9TQhJPBgqIjLkSRIZJvK0etpiLuvjjagwDoL\nJVmLFV3hG7oPj6iRpcbkY/5cnUKBygRbNnMpGy7p+DhzKiFYgpCYoTAUY5oUBUMUJc/pjD8ej0qf\nE/MYdpafPo3B97+nNFoEAdjxcgCPP+lFzflQQt6kqwFRBJ55zocvf0FeKGXRAgbTKmjUX5LnrMye\nxaCiQmkRPvfv9DUeHE8ypqFETeaBsZV7jUE8/c0I8x7QrAl6c45iPWuwYd41/wEAOL3rZwjxPjCs\nEXlly2ArmAmWswAEgWDAA29/Mzobj8Hn7FAcZ+n2+1TP33P5BBrP7ExqzFlFc1A6dxsImkEo4Iar\nqw4d9YfB+52QhBAIKn7IW+QalsOaNx2swQ4xHITX0Yae1nfg6KgFkFnZ1wyXcYQohVHf9SZmFm4e\nWDZvyk0IhNxw+lrhDzoRFkMAJFAEBYpiwTFWGNksGNks1WN2Oi+g3XF2lK5AY6IQrenkL37txmtv\nJB+GwjAEnvlXjqL60eaNHH70UyeEFJp7W60jM6xIErDblcdIJT48Jyc9Rl5urrrC0dUd/wZ19yiV\nmPy8sSs7+4PvWcCozNh/+BN9ePfsyJp1Tlaee8GPez5nAj3sz3b7rQY8+HN5Cfsbtym9LXV1YZxJ\n470dTzKmoURN5oGxlXsNOaGgFzRrAkkyIAgyaoUxhrWA4SyoXHoXGM4iW8cZWXDGbPS2nlHd1+/p\nAsMYQOn0IIjU/vYEQaJi0W2wF84eWMbq7cgtXYbs4nmoO/E0wkEfdPrYhou9YBbKF74P5BADh6I5\n2AossBXMhKunHpeqn0U4lLkGqZrhMs7ocJwDR5tRlrtiYBnHmMFZZyZ1HEmScLnvBBq6Dqd7iBqT\nALUwMUmM9Ibo7U0tgPrg4QCuvUZ+XHsWgSWLWBw7nrzXpaBgZB/noiIajMobrq0ttpEgCMq4/enT\n0vOqnDZNPTanMYEKUc0tym1mzxqbDuXTKmjMn6c8d1hAykZLtJCjyURPj4A9ewOKiYMbt+nxi1+5\nB8qHUxSw7TqljD77Qvq8LcDYyZhGYqjJPDB2cq+hhGIiciqEAzHLIhtthSiq2ghaZ0Bf+1l4+i4j\nHPJDx5phsBXDkjUV7r7Lqvue3f/7gf8P9eIkQ8nMaweMluZzr8Lv6gJJ0TDapyC/bBmmL/0AJDH2\nhIMtvxLTlrwfAIFQwI2upmPwe3rBsAbklCyE0VYCS840TFtyBy4c/WfGykRrhss4pLHnKJz+dkzL\nWwsTp3Q/xkIQw+hx16Op9xh8/OiU59OYWMyexah2hz9xMpiy0QIAb+zhFYYLEPHupGK45OaQMJtI\nuKOES8SjbKq6Unb+Qmwjob4hjKrp8ldjSRGVlvKulVEMoNo4YwKA2ovKbebMGRsF5rooHrudL6c+\ny5alMnM/GXnqGb/CcLHbCKxfz2L3nsj9W7FM2Rg2FAJ2vJxew2WsZEwjMdRkHhg7udeQwxrt0HGR\nCq4+V3vMbafMvQFh3otzbz4Gv7tLsT6Wt2YoopD8xBBrtCOvIjIZHvT3o7Ph2MA6R1cdetvexew1\nnxwwwtSgaBZl828GQMDrbEPtkb9CFAbbbnQ3VaN84c3ILl4Ac3Y5sornorflnaTHmghXx5diAtLv\nvYzjDY+jqecYetyX4OcdCAkBiJIISZIQFoIIhrzwBHrR7apHU89xnGl+CYcu/BE1ba9pRotGVKKF\nib0+wkpF+w8EEFL5zm7exEatphWPkcwsLluiXuKqtjb2i//oMeV6ggRWrxxZjV+djsDypUo3vMMp\n4WJ9/L5LHR0COjrlH7acbBKLVcrlZpopU9QNsN17U1esy0qvjnm0o2/zaGxSeiRuuWkwNOyG65Rh\nYrv3BuBwpH8GcyxkTCMx1GQeGDu51xiEIEhMmX3dwO++tnMxtycJGg0nn1c1WgBktIllTskCEO+p\n+60XDijWB9zd6Gw8HvsYUxaA1kWKpzS9s0NmtFyhpWaXbPtMcXV8KSYwDd1vjfUQNCYZav1VJBHY\ntWdk9Wg9HglHj/JYu0aunGdnk1i0kMWJ6uSPv2qlDkffTm1c69aqx+q+ezb2bPCefTw+8kFldaut\nm/XYsy/1e7R6pQ5Go3L5ocN8wuVNDx7i8f7b5ErtHbcaUF09uopibpT+P21tqX18C/IplJddPXH7\nTz/rwzf/U17ufs1qFhYzCZ9fxMYNymf3+TSHiV1hLGQsHqEodjxNT/5wwuGoyTwwNnJ/tUNSNBjW\nBJN9CvLKV8BojTQN97s70dN8Kua+PldH1FCwTGPKulKhVoKj87zqNs7OWhROWxP1GNa8KgBAmPfA\n51IWEACAEO8dKFZgtJWMaMyx0AwXDY2riBlVDKZOUSqIJ98Jobtn5HHpb+wOKAwXANi6OTXD5Yat\nevzmd+6kk/tnz2JQOV35emttFeMmN5+o5tHaIqC4RH6fNm/iUFBAoaMjtfv0wbtUrBYAL+5MXCHd\n8UpAocTccB2Hvz3OoKYmvtcmXURTH4Ph1ELpbr918pZBVuOFl/z4ypfMsr43DA1cs4FFZ5cI27CO\n6e3tIt46lplGN2MhY/GIVkp5pMUEJiJqMg+MjdxfjUxfelfM9X53Jy4e+xckMbYA+Zxt6RxWUuiN\nkZSDYMAJIaT+HrnSkyYaRmshAIBmTVGrnA2FJBmQFKPqmRkpV99bQEPjKiZamNgbu9NTAWTPfl5V\nAdpyLYcovdRiUlREYtv1yo92PL7wWZPq8h2v+OOW55Uk4K//9CqWsyzwtS+n1hR2wzoWq1YoQzsu\nXRLwVhLlotWMP4oCfvIDq2pZ2kzR16/uWSlMIdk7N4fCRz+obtRNVpwuEa++rpS5TddwWL9Ozdvi\ny1jTwbGQsXj0O9UvdtbMq2+u9UQ1j7o6pQdrLOReY5CAtxctNbtQc/B/EQy44m6fySpb8SB1ke9+\nOBh9kiyaQQNEwuJi5b9EPS+ZGS/61fcWmIToLXmYvf7zsmU1b/5RtR74ZMScNRVVqz8uW9Z+8QDa\naveNyXjGK9MqaHz2U0oF8fSZEP7xuFJRTwWHQ8RPHnThu/fKyz3m5pD45n9aFCVfE+HHD1jx5XvM\n+NJX+3GhLvbszbWbODz0Y5tqmd4nnvLjkUfdCZ3zX0/50Ngk4I+/tcvcC9uu57DtugI8/Gs3/vZP\nb0Kz1G+8nIeCfOUc0aHDPD7/5eRz0fYf4LFhvVy5nTaNxtuH8tHaIuCXj7jx2q5AwsojQUT6+mzd\nwqGnR8D//S3+s/DkM35cv1X5IfvVz+xYtiax986UEho/+4kVs2dfnYnG37nfgRlVOZhRNfgZ3rRR\nabQcOsLj0cc8GR3LWMhYLBoawjj8VlCRV3bdFg4EYcM373VcVd3jb72zB4/8wh5V7r/5X46kZB5I\nTe6vRuqOPwFH54U0HGnsSoSLIR6kjo5pfJBU9PewJIkQwzxImkPA04139z+aiWEmjGa4vMfsDZ+H\n3pwnW3buwB/gd3WO0Yg0EoU1ZSuXGdX72lzNRKsE9cYIk/KHs3sfj+98O5LQPpStmzk89LArpdnY\nwkISTz2ejaee8eOlnX68ey4oO868OTp88E4Dbtyufo39/RJ+87vkFKojR3n88c9epbFHAP/5FTO2\nXa/H3//pxYGDPBzDZogpCliyiMX7btSrGi1d3SK+831nUuO5wn0/dOKJv+WgsFB53OISCg/91IZ7\nGgTs2x/AW8eCaGwKw/Fep3qaBgx6Ejk5JEqnUqgoZ/CJjxlhtUSss3/8y5fQGE6d5tHaKiqq03Fc\nRPneu5+P+ncuLKDwobuM+MDtBuiHRIj19IrIyU5PEABBAAYDAbOJhMlEwmwiYDIRMBkJrFmtnpex\nfi0Ho4mE1yPC45Hg9UpweyR4rvz2iWlXlp98xof7/p8l5jbPPZ+Z3JbhxJMxICJnv3zIprp/KjIW\nixd3+lULYmzdzMFmzcIvf+OJGpLGsgQK8ilk2UmcPJ162BrLEigqpGA0Dj5DZhMRtY/KjEoad91h\ngNsrwesR4fYAXq8YeYa8ErweaaDkdbLEkvtkZX7hAgaLFuqSlnuNiUnA2wuTzghWbwNF6yCElTLB\nGu0xj+F1dcCcVQbOlANap4/pvck0muGCiOI73GgBAHvhrAwZLgSI9+JmMllJ4moh4FHGZvqvEm9T\nMqgl5QPpCxO7Qk+PgJPvhLB4oXwGJz+PxPy5Opw+k5gi8cCPXfjC50wDyixFAXffqcfdd+rhckvo\n7BTgcIiYXsHAnhUjXEICfvBjJ1zu5GXtkUfdKCygcJOKQTRzBo0fPWCFIAAdHSJ6+wQEgxKysigU\n5FEwRIl+cnskfOlr/SmXnu7rE3HPf/Thf3+fpSiZe4WKcgoV5UZ88uODg1DrT5Mq4TDw2z+48eMH\nrIp1v/q5HW1tIqpPBtHWKSDIS7CYSWTZScybx6BUpYTupUsCPvn5Xrz6Yh645CMSAESa8v39z9kw\nmQmYDITCcI7Hjds43LgtxsklwOcD3F4RP/hvJ948NPKck52v+PGNr1iiPiv9Dgn7DmQmtwVIXMaM\nRhKF+VR0ORuBjEXj1df8+OLnTJhSonxeli/T4fG/ZaG/X8LlljB8Pgk0BRj0BErLaJiMkXG2t4vY\neqN6FadoPPZoFmZUMTCbCUWj0HjMn8eo9jcaSm+viGeeT94zFU/uMy3zGhMXd18zTPapAAhY86rQ\n1/auYhtL7rSYx3B2XoQ5qwwAgdzSpWi/+GZGxpoIWo4LIOskKltepL58pEydez0Wb/8uFm//LugU\n4gY15Hj6LqO97k2Eg16I4QB6m0+is+HoWA9rXFFWSmO6SiLt2bMhtLWnv1ncrj3qxlC0HBs1hLCE\nL/xHP5wu5QylxUygcjqNZUt1sY0WAP/zsHugP0aySBLwvR848OTT0WeXKAooLiYxfx6DpUt0qCiP\nbrR0dYv41Of7RpxQW38pjI98sg/19YlXb0q3AvPSTj927FS/r0VFJG7czuGznzTiS/eY8NEPR7xh\n0YyWz3yhD729Io6fSF1Jp+mI18BsSt5oSQgCMBgjBrjJlJ68Ap9Pwo5Xoj9bO172IxjKXIhJojI2\nexYdU85GImNRxyYA3/gvB/gYj4TdTmDBPAarVuiwbKkOc+YwA0ZLqhTkU7DbkjdaEiU7m0RWVmoP\naLJyrxktGgDQ23IaV0LVimdco1iv4ywoKF8Z8xjdl6sRDkbCCYsq18NWMCPqtgZrAWhd8nlziaIZ\nLoh4VtTgjDnQW5SemJFizq1I+zGvdtrO78Xp13+Ok68+iMbTL8Wt8HG1EbV3S5q9LVfYFeW40bw+\namRlUag5H8LHPtWLhsbk/56BAHDvfc4R5+8IAvDfP3Xiu/c74fGmrkTuO8Djzg/3pq0KUHNLGHd+\npBd/+6cP4TF63O//oRM7X0n9GTp4iMfHPt2Lru7IBRw5evWVd33y6ehhOs/9O7PhGONFxqJxriaE\nr32zHy732OUHjDfGg9xrjA0EQYKkB0NdCYqOmZtyhYCnB91NJwAArMGOvLJlMGeXwZpbgcLKdZi9\n9tMACISD0d9FQpjHpernIEkCCILC9CV3YsbKD6OgYhWyS+ajoGIVyhfchHmbvozZaz8Lhk2tkE0i\nXPWhYqwxCwZLwcDvK3+UK9gLZ8PvSs7VHAud3grOqMzJ0NDIJNEMhtd3ZyYMpb1DwNmzIUWHZ7X4\n7GjY3+ukXn8pjA98qAef/oQJH77bqNoLRYYE7N4XwMO/8uByc/o6eL+ww4+DR3h86uMmvP8WeX5G\nLKpPhfDY/3pw8HD67zXPS3joYReeeMqHj3zQiJtu5FKacW5tEfDiTj+eS7JXSDAk4b++68DBI3p8\n6bMmRQnpaLR3iHj0D278+yV5BarDb119hsuFuhBOvRPCwvlyWXnnTAh1CTQmHQnjTcbUePMQjzvu\n7sHXv2rGtddwmhcBSrm/+87UZrdTlXuN0YNhjZi99jOgGBYkNaxHWvECZBcvgAQRYohHOByAp7cR\nDadfUhyn+dzrYDgzbPkzMHXODbJ1QiiAi2//C4WVa2HNrYw6FldvAy689Q9ULLoNDGeGObsC5mz1\nifhMpkFc9YbLcG9LX8s7yJ6ySLY+ndWpLJq3RWMMuOODPaN+zrs+GrsufDxMpkEjJxCQ8Mijbvz5\nrx5s2cRh9SoWMyppFBTQoOlIed5LDSGcqA7hldcDaGnJjDLV2yviwZ+78JvfuXHNBhYrlnOYWUmh\nsIiG2UyAAODzS+jqFNDQFMap0yH89R+Zr9bT3BLGjx904qGHXVi2VIfFi3SYPZNGcTGNnBwSej0B\nmgR4HvAHJDicIlpbw2huEfH3x71oHuH92rHTj5df8WPtahb3fNaEvDwKVgsJhgH4QOTv09oWxtlz\nYRw5yuPo2+pNN+vqQ5i3JLX8tNY2IeV9x5onn/Fh4Xx5vlCmGk4OJVEZ0+sjTSH7+kU8/awvozKm\nRlu7gK9/24GCAgqbr+GwYD6DqkoGdisJkzliqLtcIlxuCWfPhXC+NoTaC2Gcr03e8Lvptu50Dz9j\nXJH7fQcCScl8zfkgjleHRiz3GpmHICgwXOwCHgRIUIweFKNHyKBe9EUUw6g7/hSyi+di6pzrQdAM\nQgE3nJ0X0VF/GMGACwF3T0zDBQDcfU04s+83yClZAGt+FQzmAtCsAWHei4C3B67ey+hvP4eAJ3M6\nByFJI624nh6Ki4vH5Lyz1n0Ghvca6wBA7aH/Q8XS98vcXGf3P4qAOz0vs/LFtyOraM7A79OvPTji\n+t5XezlkjYmNxUzi0D5lSOaLOwL4zv2OMRiRhsbocstNevzw+4OGS8APbNjaCZ8vPZ9nTcY0NDTG\nmtbW1rQc56rPcRlqtIgCD6+zDe6eBtk20ZL3k4eAJacsTcfS0NDQ0JgMfPAueWzWK68H0ma0aGho\naEwmrvpQsaG4ehohiQIcHReQVTx/YLm9aBbaL+wf8fHN2aWgdVdXh2gNDQ0NjegsXqxTdIR//oXJ\n0VdDR+uRbSqHTV8MA5cDljaBJnUgQCAs8ggLPLrddejzXobT36a1B9DQ0IiLZrgMwdl5EQDg6qmX\nJenrTXngzLkJh4sRJAW9ORd6Sz4M5nzorfkwWApAMcoEugXXfSvu8TovHUHLuTeSuBJgaAQgSetg\nzauEvXAWLDnlIGkdhFAAId4Dn6MVzq56ODpqR/zRMFgLYABopc0AACAASURBVMmrhDW3HAxnBcMa\nQBAUwkEfQgE33L1NcPVcgqu7Aal0kS2sXIcilVJ+atS/na5utxEohoUtfwbyypZDp7eAYliAoCAJ\nQQghHrzfAd7bB6+jFa6eBvDe+B3Rr4QpXjrxNPrbawAApqwpKKzaAKO1ECRJwefqQlfj2+hrPSPb\nl2FNKKraAGt+1UB8qbuvCR11h7WmqRoaE4iP3CWv8lBXFx5R08TxgIG1ozRrOfIslQM9y4bDUBwY\nisPU7CWYmr0EISGANsdZtPRVIyRkptqhhobGxOeqNlxY/ZAOwJIEZ2ctAEAI8XD3NMoa8tgLZ6E9\nQcOlfNGtaQwvSw0xHKlgZCuYhbL520Hp5B9HWmcErTNCb85H9pTFCPr70XR6B1zDwuQSQW/JR8ms\na2HJna66nuEsYDgLDLZi5E9bDb+7E23n98DxnqE4nqFoFgWVa5FfvhwEqSw7SNAcSJoDo7fClFU6\nUNjB7+lCX/M76Gw4Grc0M2fOBdprkFU0B+WLbwMw+KE32ktQbi+ByV6Cy+++EtnelI2qVR+V5WEx\nnAVZRfNgL5yN6p0/SsOVa2hoZJqyUhqbrpFX/PvnExPb21KavQylOctBJtlMh6E4lNgXoLX/ZIZG\npqGhMRm4qnNchjaY9PY3I8QPVv9xdJyXbxul18t4RQjzKJp5DaYtvUNhtKih09sxfcWHkF0yP+62\nQ8ktXYxZ6z4T1WhRQ2/Ox7Rld6Nk1rVAlNk4NSRRAEaxlgSrt2LG2k+gYNoaVaMlFnpTHrKmzE+o\nn4zelAvWlI2yRbdgqNEylNyyZbAVVIGkaExbdlfUGukEQWW08ZOGhkb6+MqXTCCHfYVfenlilqYl\nCBJzirehPHelqtESCLrQ476ENse7aOk/hU7nebgCcu9wq+MdBMMT8/o1NDRGh6va4zLUGHF01MrW\nOTpqMXXutgHFWm/OB2fKRsATv8Rrb/MpePqaFMs5Uy5yS5fKlrXW7IIoxi7ZmEp1MGteJQqnr5Mt\n47298DpaQFIs9NZ8sHq7bD1BkCidvx1eZ3vCYXFT592oWCYEffC6OgaaGTE6AwzWQkWoXP60NSAp\n3YAnIR4d9YfRcekIaJ0eNGMArYv80+nNmDKsLvlIIUgKFUvvgN4kr8Tjd3eC9/ZDFHgABChGD86U\nHbmXw4ywnqbqhM7FWXJRPOMaEASFoN8JT38LGNYAc3YZhhoyBdPWgDPlDPQB8rs74Xd3gzNkwWAr\nGtguZ+pidNQdSum6NTQ0RocbtnLYvEnZX4nnJ2ZS/syCa5H7/9u70+BGzvNO4P++cV8EQBK8ORyS\nc3BOSzOybB22ZcuW7XXkqFLrOE7WyVY2yaZSu+Wt/ba1tWelaj9kK5VknVR27WSdrK0oviVbtiNp\nJEsaSXMfPGZ4DE+ABIn76EYf+wFDkCABECBBEpx5flVTNWg0Gt0PmkA/b7/v89oPbVoejN7GbOQa\nknLp8qheey9aHEfgtnZgdoXutpD6GPA+iYA9X8H14tzfI61s3X17LzRZuiBrSSTlnU0X8DB7aBMX\n0ewsutiLhIrvsOTkJFKRWVg9HYVl7tajWLjz5pbbji3eLbnc6e/blLiEpy/vuBxyKd2nvlD4f2T+\nFubGXoe8IemyudvReeI5mO3NhWUMK6D18BOYvPzSlu+xcU6aVGQW86OvleluxsDV0o/2o5+EZFlL\nmHzdjyAVncfy7LXqDswwoMppqPJadwpeMNU9cXG1DMLiDBQtqzTWiOVFOJq64PD1wd16BJwgYWX2\nelXvZbb5Ybb5sTJ7FVPXflQYa+TtPIOuE2uJodXdAbMjn0jdu/5DhKfXfuQ7j38avu5HAOSTVkpc\nCGlc5x6R8J//o2vT8oXgwRyc3uI6gmbnYNEyRc3g5uyPEM9WbngLJyYQTkyA5ySo2u5MiEtIIzAL\nTpxofg4LyWGMLL2237tzYD20XcXyd1vyrdmrregbRTZ2Fwvs77iV7Zi7/TNMXH5pU9ICAMnILEbf\n/gbkTPGxr154V8IJEnrWJUcr8zcw+vY3KoyRMRANjmL4zb9ENll8N6ftyMfAcrV1xdptrubiSZhW\n5m9WLJCgqwqioTuYvvkKrv/8TzD81l/XlJCqSgr3brxSVCAhPH0Z6dhC0XosJ2Fl/mZR0gIAC3cu\nFLrRWV2tIITsj0ozu/d08/j3X3Pg63/mhlTiK/a//PfSk8c1Mkmw47D/qaJlci6FK9P/sGXSsh4l\nLeRB5za37/cuPBAe2jsulbqJrS0fRvvRZwqPzfZmSFYP5NTKru9fPUTmbyM48U7FdbScjPmR19Bz\n+vnCMoZhYXO3I7Y4XvZ13o4z4CUbAEBOr2Dq6g+qqkqm5WTcu/ZDDDz+1cIyQbLD23ESi1MfbPn6\nvSKYbEWP05HqJ04yDB2Z+GJN7xcNjkLXNncZjC2OFc01BJTugpaTU8iml2GyesGwAgTJhpycrGkf\nCCE79+N/9IEXGYSXNGSzBhQVsFgYdLbxcHvKj+l76XsZXHjr4F28d3hOgWOLLyWGF15FRtm9iS1F\nzowmey881m5YRQ9E3gyW5ZFTM5iP3sRS8i7S8s66BkmCDT5bHwKuIYi8GRwrQjd0aLoCWU0irUSQ\nyIQQSc8gVaHbD8OweHLgDwAA8WwIl6e+A4epBT2+x2A3+6FpOcQyC5hafrdon0XOjC7fOTRZuyHy\nFmSVOJYSdzG98gE0vboZ7yvFKZtLYCV1b8exWo2T09JWeI+NsQrFRraM08PAY+7YeiWypYcycRFN\nDljda5nvxoH4q+R0FOn4AiyOtQtHd+Aognfe2vV93DkDcyM/r2rNaGgMhqGDWTeg0mzzl09cGAb+\nnkcLD4N3f1nVIPRVycgsMsnFovEjzub+hkpcNLU4ibC4Wnb1/dLx0i2TmXjx3SnD0JCKzpZcV0nH\nYLJ6AQC8ZKXEhZB9wHIMmv0smv3Vd2i4dFnBf/vj+C7u1e7gOQktzmNFy+ajNxFNl/6O2imW4dDZ\ndBbtnjPgSxRMkQQbenzn0e07j1D0NibC70BRa6vSxrECen0fRsA1tKmUM8dw4FgzRN4Mu8mHZkc/\nACAlRzAZfhvhxETFbVtEN1yWdpzo+GeFAgY8K8Iv9KHJ1oUr9/4BSTkMkbfgTOcLMImOtddKbnRJ\nj8Bt7cDV6e9CN8onL9XESRJscFpatx2rSnECNscKqD5ODyKW4eEyte33bjwQHsrExd06iNVuYkom\nWnHwezQ4Wpy4tB6MxCW5Mg05XV2Ll64qUDJRSBZPYRlXoTKVxdEM0ey8/8hANDhc8/6lI3NFiYvd\n0wmGYRtmArJUZBau5oHCY0/gBJIrM1iqcsB9rcrdxVOVVNFjJR2FrpX+wdLWdU1j2YfyT5uQA+fi\n+wr+7b+LQlEO3qB8r71304XxzC4NsBc4CcfbPgenZeuusAyAFtdRuK2duDb7faTl6npJ8KyEk13P\nwy55a9o3q+SGXsVvF8+KOBr4VMmqaxwrYDDwDD6Y/Hscaf1kUdKynsPcgnb3CUyvlP4tqiVOwPZi\ntdtxaiRW0QO/9RBcpgAsogcCK0GHhpyWRVIJYzF5F6Fk6akdOlynYBO9sIteWAQXmPujM1ptR9Bq\nK12p9o2pvyyblIqcGW2OE2iydMIkOMExHHJaFnF5EaHkCJZSlaezMAkOPNb+Zfxy+n9D0bL3tzcE\nn7UXEm8HA0BWU4jLIczGryMhV1ekaa89lFc36+dYKddNrPD8wggC/U8VHlscLQeiu1hiZbqm9bUN\n4zE4vvwYF9u6ggVKJg5Vqb24wPrS0wDAcCJ40dIwdwmWZ66i9fBHwHL348Aw6Bz6LNScjGhwpKY7\nTNVYrcC20cbuYzk5UXYbxrovu0YbM0QIKRaLG/jm36bw199IQj9Y13IFG1uQI6mZXekixjIcTnT8\nSqHlfv37LSenkFXj0HUNomBBn//JQjIlCTac7vwiLt37DrLK1uOH+vwfKboY13QV44tvQlaT0A0N\nHCtA4u2wSV64LAGYxXyBhaySQCS5uZJoKSJvwVz0BlaS9yDyVvT4HoPI5avL2SQverzn4LZ2QFGz\nmFm5hJS8DKelDV1NZwvbaHUdL5m41BInl6kNXkfftmJVKk7hxF3EMgslY9XqOlpznBrBgPcpBOyb\nxzZzYMFxAkxmO7zmHrTYBnEj9DJ0o/i6oNd9DiwqDHqrgc/ai0Hfx8Ezxb/tEmeFz9IDn6UHK5lp\n3F78GXJ65S6nIm+DxNsx1PwZSJy16DmL4IJFcCGYrHxtvJ8eusTF3/MIrJ7OdY/Pwd9zrqZt9J75\nIobf/Kt671pdJcNTtb2ghvlRHN61kpei2Ymzn/0Ptb1XGaLZ2TCJS05O4corfwxX82F0Dj0HwZRv\n/eo988Wi9bKpMJanr2J59vqO9l3dkMiV368Kt/IPXoMtACCe0DF0tvaS3+sNdD4Ln2sQ8dQ8bky8\nBMOob2JJ6m+/P7MnTn2t5PJUNoxLI9/Y9nb/8PfPNNy5WI+/sY1YhkOLq7jV+N7ypbq+BwBYJBce\n7fmNwmPDMHBp6ttIlmkNDkaHwTIcTnU+D4e5BQJnwvner+BO6ALmIuWrVzrNrWhxrV2k3lv+AJNL\nlceIbsdbd/6yqBDBQvQmzh/6LZiE/NxcXd5HEYqNYHhhrRjMSuoe4pkFDLXnq0yaRSfc1k5EUmsN\nlDXHCcNA8OclY/X6yJ+W3f/txGk0+IuKzzeqseULCCZGEJNL/+2YBAceafs1eMwdOBv4Vbw/9+2i\n59+Y/Hrh/xwr4omu3wGAmquKPd71VYisCXF5EVcXvg/N2Dwe9ojv42ixDeAjXb+N4aVfVEw8zga+\niJyWwbXgD5FSNjfCM2BgNPAFxUNXVaweE0lanK2QrO6tV9xHmrp7gzx5YXcmOCzVT3a/RUN3cPO1\nP8PcyC82ddsCAJPVi7Yjn8DQJ/4I3ac+D5OtaVvvU3UXuT2cgPPgYOB3HwXL8nDZO8t2sSCNZP8/\nMyWX3NRCunP7f1x7ReA2z0GTVes/Tqfdfbro8WzkatmL8VW6oeFO8PWiZR3uUxV/Y9gaJxnerlLV\n0+KZ4ok4l1Ob70psvMCUhOKW8u3ECSgdq0aIUyMwDL1s0gIA2Vwc0Wy+cI9F3FzevF5ENv+3Nrr8\nesmkBQDGV94u/L/VPlhynVUsONxe/FnJpAVAQyctwEN2x0WQbLC5u+qyLXfrEQTvvr31ivtkN8eK\nMOumes5l44gvla8+VouN3ccaha7lELz7SyxOXMTh878Om6cTG2e4ZxgOTe2n4GkbwuLERcyPvg69\nysovQGN/UQz1/ircju6aXvPW9T+p6fh3xsBi5DZ8rkFEEveq6hKy27yufvCcCcHl6ubyOSjqd1z7\n/5m9e+t/AcgPMOd5Mz408Jt1uCjb/+PaK3yJxEXV6j8nmdfeV/R4IXarqtcl5CXEs4twmPJjKU2i\nA05zANF06QqRG7u4tTiOYD5yDXKNg/u3Q1aLuwCXmqxTVTd052bEosfbjROwOVaNGqdGJOcSgDmf\nDLAMtwuNIfffR0+XncQVABQtA1lPQ2ItsJv8ZdcDgIQSRjS7UHGdRvZQJS6u1sGi2c0NQ4de5Z0J\nluXAcGtfFO7WYw2duOwmNZcp/F/JxDF17Yf7uDd7R9dVjL79TUgWFzztJ9DUfqKooAGQT2CaD30Y\nNk8n7lz81q7e+SJrRqd/gtHpn+z3bgDI32bvb/8kDEN7oBKXeh9Xo3xmqiZD1eS6NR40ynHttlLV\nqjRdqet7WCRPYfwHAGSVeE2leyPJqcLFOAC4LG1lL8izuTjimSAc5nwFSUmw4mz3l/Du+DcqVvCq\nh42NPEpucyPexn3gmLWxEzuNE1Acq+3EaSp8EcHY8K7Haq8xYOAyt8Fj7oBNbILIWSFwElhGAMdy\nYIsuo3ev14jEWvB0z+9XtS4HARwjlL07k5Brm66h0TxUicvGbmKRhVuYvPzdql5rb+pC/2O/WXhs\ncbZCsriqrtz1IFk/kFwwWSus+WCS01EsjF3AwtgFOLw98Peeh9NfPGGl1d2OzqFPY/LK9/ZpL3fH\nTOg96GW+DNdrlOpw+8FuaQbPm5ArcfFxkD2ox0W2R9U3fw9wjAjVqF9jzcZB5pVanEvZuP5WLdF3\nQhdwuuuLYO8nBSJvxmN9/wKh+AiC0eGa3796RtH/1BKDqzcl1usaYXcap42v2U6c+lueQo/v/B7E\nau84pRYM+J6GVSgeGqBDg6orUFQZHGeCsOHuVz0x20yGWIaFVqYtRq1zA8Nee2gSF0GywuYp7iYW\nXSg9f0spyZUZaEoanGgpLHO3HkVw/OG765JJrPWbFc1u8JIFaqVB4w+weHgS8fAk7J5O9Jz+FQiF\nMtGAp20I82MXGr4CXS3mwpdKtgaSNa4au9UdFA/qcZHtKXVxzXFiyeXbJbDF4ykVrbbfGXnDd5XA\nW8qsmZfIhnBt+rs40vopmMT8YHmBM6HdfQrt7lNIystYiN7CYnwEuRJjVephO8UcdhonoDhW24kT\nsPex2k12yYtTgc+DBQ8DOubjt7CYmkAqFy46nkHf02VLG9fF/QQ1oSzhTvjNql9WKTlp5K7p1Xho\nBue7WgaKJlg0dBWxGsZmGIaO2OJY0bL1ZZUfJolwca3w9VXGHlaJlWmMXfzWhh8dBk4/xeZhwjAs\n3Lbu/d6NuntQj4tsX6lB5htLq+6UwBWX5a+1pVgzitcX2M3jcjaKZRbw/tS3MLn0LpQNY3ZsUhMO\nNz+B84d+G4ebn4Qk2Gran2oY2yjAstM4AcWx2mmcgOJY7UacdluP+1yhG9jN0E8xtvwmotm5TUkY\ns8uX0au9F1iGR0wOVv3voCcnlTw0d1w2JhnxpQnoam1/3JHgGDztpwqPLa5ATd3FSk0cmB8MWv8B\njbspFVuAKifBS/kvo+aec1iZu7HPe7X/sskwUpG5+4P38wTp4H1h7waOFXC6/8uwmJpwffw7iCbK\nzzN0pOs5+Nz5FqzJhQuYCb1Xcr1zR/8lJNFZtEzVZLx9o3wpz3JMkgutnhNw2zthNfuhGxpyuTQy\ncgSx1CzC0bGyE7O1eI7DYQ3AavbDamoqDPAWBGvJkrszofcwuXCh4v4wDIdmzzH4nP2wmX3geRM0\nTUEqG8aN8Zcq9iPva/84At7TiCbu4fr4i2AZDq3ek/C5BmGR3PlWcTWLRDqEYOQGwtHSk6fVelxb\nHVupzwuo/TOTRDu8zsNw2bpgM3vzrcMMC03NIi2vYCUxheDyNeTUvflerddxreppfQJueydMogsc\nJ1Z9LvZ3fAotTUMYm/kpQiu30Bt4Es3uYwhFbmNy/g3ohgabuRl97R+DzeyHkktjLnwZc0vbK2Gs\n6TkoagYiv9babzP5EM/Wr+zyzi++NnazqW57mp7DveX3MRu5ilOdz2/qOsWxHNrcJ9DiPIqp8EXM\nlJkMcq/U5yJ1faxqj5PfMYCA61jJWD3a8xsNEadaOE0BAEBGjSGcLj+xo4nfm994i+CCwJmQ24UC\nGAfNQ5G48KIZtqbuomXRYPXdxFbFl8Zh6Dkw6wYl1tJdbP2g9lUmuxdKhUkFG5JhIDT+DtqOPgMg\nn8A195xDaPLiPu/Y/mO54j8pLXfwbpHvBk3PYeTej3Gq/0sY6HgWl0a/WbLF1ucaLCQt0cQ0ZkPv\nl92moqYh8Faw7M6+xlqbTqKv/WNg1g125RgWnOSESXLC7ehGV+vjeO/W1yHnNs/V093yOMR13SV2\nyiy5caz3V2CRigs/8LwZTlsHPjT4W7g58Y9bznBtkTwQeBOGDr0Am7m56DlBsMLj7IXH2YsLV/9H\nydfX+7jq8Xl1tTyGzubHiu6er2IFK5yCFU5bB9q9Z3Fj4h+QzOz+INR6nYdA/lzsaH60aFkt5yIA\nWKQm9ASeRJsvP2Fhm+8MAGB26QOcOPQCeD7fmm6SnDjU9jQ0LYvgSvUVqNaLZ4Pw2noKj53mFsxH\n69eItbF1m2drG0uwsYBArRd9mp7DpalvwyZ50eI6gmbHYFEZaI7lccj/OCyie1/nKtlpnPKvWYvV\nduK0EL2JhejNkrFqlDjVgmPyf8+VurlJnAUOU0tV21vf2MSz5Sf4LocBgzb7MUxF6z9X0kHzUCQu\nrpYjxd3EDB3RDd2+qqFrOcSXJuBsHigsc7ceqTpxkVPLMAwVDLMW9qbOM4iHy2fzjWrx3gfw956H\nYMpf2LQdfQaGoWFx6oOatiNZPbB5OrA8U35isL0mSFY4/IcRWbhd0105m7sDFmdr0bJM4mBX76in\nZGYRk/Nv4lDb0+hr/zhG7r1c9Lwk2HC4/RMAAFXNYHT65YotiVfGvpV/nejE0KEvbrrQr4bD0oq+\njk+AAQNVkxFauYlo8h44VoJF8sBp64DDGkAkca/sheL18ReLvl+O9z4PSXRAVTO4dvfbm9bPaZsb\nMFZJohOnDv9zCLwFBgyEo2OIxCeR0zIQOAuanH1och7Cyb5fw6Wxv6k43kgU7TjW8zxs5maksksI\nrdxGVomA5yxw2Trgv58gtniGEFzZfLFZ63FtdWyrnxfHiuB587Y+s2RmEQzDQtMVRBLTiKfmkFVi\nYMDAYvKgtekkRMEGQbDgSPfn8MHI/9n1QhH1OC5g7VxcPQ+T6RBUPVvTuQgAHkcPRN6K8bnXoGky\n+jufRWvTCZhEJ1RNxsT862BZAb2BJ8CyAgK+M9tOXBKZ4sSlydYLjuWh1akUem7DWA2pxtZtccP6\nlc7PSpJyGHdDb2Ji8R00OwfR3fRIUfenVtdRRNLTWIyXvnu523YaJ6A4VtuNE1A5Vvsdp1rIagIm\n3gGr6IbASZsSGJbhMOB7Giy4MlsoZhg6ZC0FibPCYWoBz4pVd+lT9AxE1owu94eQVFYq3gGySz5k\n1fiBHFdUrYcicdlYTSwVmd72YPJoaKwocbG42iCZnZAzW9fr1zUVyeVp2L29hWWewDHI6RUE77xZ\nsisZADAsB0Pf/9mX19O1HCYuvYiBx78KIN8HvuP4Z+AJHEdo8iISy5NQlc2tNqLJDpPdB3tTNxze\nXlhcAaSjcw2VuLC8hO6Tn0fn8U8hGhpDfHEciaXJsnfGeMGEpvaTCAw8ifW323NyAvGliT3a64Nh\nbukyDrU9Db/7KMKxuwhHVxsQGPR3PFtoDR6d+UnFi7P1ZCW27Tlj/J6jhaotN8ZfRCK9uZuLKFjA\nVmjB3HjnY/VC2TB0pLK1VdYZ7Hw2n7QYOm5PfR/LseJxeMGVG3ji1NcgCFYcansaw1M/qrg9hzWA\n0MpNjM28WnQBH1y+jmhyBv0dn0TAd7pk4lLP41pP0xVoirKtz2w5NoHRey8jHLtbsvTu3NJlnOn/\nCkySE2bJDaetvWK3xHrayXEBa+diufMQ2PpcBACLqQl3Z/8J8+F8t5z+zmfBsjyanIdwafSbSGXy\nxVUkwYqO5vOwmf3gWHFbpYyXk1Po8T1WeMxzInyOwwhGh2veVimxTHEcbJK3ptdvXD+R3VlDkm6o\nWIjexGJ8DEdan4HXvvZb3u4+uW8X5DuN08bX7DROQHGsPtr/u4Xl+xGnZksfZFP5a764HNpUBW0x\nNY5O52lwjICh5s9iKvIe0moMHMPBIbWgw3kSVsGDpLIMm1jdxNPL6SkE7McgsRacbPk8ZuPXIKtJ\nMAwHkTOD50yYi23+Lr4VehWnWj8HFhyGmj+NSGYWy9lpKGoKDFgIvBlWwQOXKQAz78B7c/+PEpeD\njBdNsHu7i5bVUk1so1hoLD97+bpShK7WowhNvFPV64PjvyxKXACgte+j8Hc9gmRkBpqSAhgGLCeC\nFy2wugKYuf0qlqYa7/ZgMjILw9CLWmWtnk70ejoBGMhlk/e7xxng+PzxsFztt0hXsZwAnjeBFSRw\nvARekMDyJoimza1LDt8hsLwIJROHpsrQczI0NQtVlauefZ7lJHgCQ/AEhgAAmpJGYuVefu4fhgXH\nmyBaXDDbfEXnw6rpGy8/cGWBzx/7vS3XGZ97rUK/eQO5XBqCYEF/+zOIp+ag5FII+E4XJrmcD1/Z\ndMG+W1a7MhgwkMoul1xHyaUB7H7VPKe1DU5bBwBgYfla2RikskuwmnzwOvshiXbISvmuprKSwJ3Z\nX5Q8D4PLN9DhfyQ/hoaTSnbdazwGQpHbZZ9VNRnTixfR3/FJAIDN7N+zxGWnVs/FcuchUP25uFzi\nwjCVDReSFiB/tySPgSTaka7wvuUk5TDimQU4zGt3mnu9j2M5MVmXvvhyLoGskihUrpIEG6xSE1Jy\ndfvq2VBQIpquz6R7mq5gZOFnOG/9aqGLlb3KLkO7YadxAopjVa84AflYqXpuX+PU7X6k4vPjkXc2\nJS73opfuz93ihVNqxsmWz2163WTkPUQyszgTeL6q/ZiMvAe3uQNm3gGH5MdR3zNFz6uGUjJxiWbn\ncHXhBzjqfwYSZ4Xb3A63ub3s+zzIA/OBhyBxcTUPFvVdB4BocHTb28vJKaQiM7CuG4Dtbj1SdeIS\nX5rE4uRF+HvOFS3nBNOmuUAOgjvv/A16z/5qYaD+GgaCyV7oSrYTDl8P+h799ZL92svxdT8CX3ep\nLysD0dAYxt8v3dWlEk60wNWyddlDw9Axc/PlHZ1nD7LRmVdwvPd58LwZ/R3PYmLuNfS2fhRA/uJq\nYv6NPduX1bsKDBh0t34Ek/Nv7Fuy6XMPFv4fqtB1ZyU2CavJB4Zh4bJ2IKSUv5BfjAxDLzHfRp6B\nVDYMs+SGwFsOSOKytXR27eK8mupIjWL1XNzpeajralEyq+s5sKyA9Ia7ZOtnYi81mWS15iLXixIX\nkTdjoOXjuDX/Sl3+lkLxYXR518b9BFzHcSe09XeE3eQvmt9EzqUQy5SeVHE7VF1BNhcr3KlgGAYM\nw+7b98d24wRsjlU94wSgoeJULVVXcHn+u+hwnoDP2gez6ASD/PifaDaI+fh1RLNBsAwHHVpVXcYU\nLYNLcy+i3XkKXks3zIIDLMPlzyU1gbgcKvvaaHYevtlfSgAADOhJREFU7858Cy32AXgt3bCJ3kJj\nR07LIq1EEM3OYzE9jrRS2+SjB80Dn7i4A8XVxNKxhaq6dVUSDY4WJS5WdxtEsxNKldudufUqcnIC\ngYGnisa7HESJlWnceuMv0Nz7GPzdHwLLV3+hYBg64kt3sTRVfgA2kK+wVEvSUhmz5SBaVU5hZfYq\n3IHjYGoccJtYnsDs7Z8jHatfZZ1GUs0ElIlU5R+9lfgk5pauoM13Bh5HDxyWFrCsAF1XMTL1o213\ntdmOhfA1tPk+BJ6T0O47iybHIVy983/3rCLVeg5L/uLPMHQk17WMb7S+C51ZcpddDwASmfmKzyv3\nt8Xt4MK10ajqugSsbt8bu2/1XFw9D+fDl7EYuV3zuaiqxeMTNE0Bywr379as0deVbt/YuFeLUHwM\nLc6jcFs7Csu89l4MtX0Wtxd+uuOEeC56He2es+DY/D4GXEMIxUYQz5a/yGMZDodbnireTuRqXS+W\nOVaEWVirJqeo6X29GN9OnIDSsar3cexHnEbDb2A0vLNGMM3IYSp6qeKAeN3Q8Mbk16veZk6XMRm5\niMlI7cWMdEPFfPwW5uPbG5OWzcXx2uSfb+u1jeRgXzVvgRMk2L09Rcu2U01so0hotFBRK4+5f9fl\n3Sq3YCB4920sz1xDU/tJ2Jq6YLb7wYsmMKwAXVWgqhmo2SSW564jFmzsgWyqksHcyD8hOP5LOLy9\ncHh7YHG1QRAt4KV8qVJdy0HLZZBNRZBNLCGxPI3kSulxMPtNU2VMXv0Bpm/9FPambtg8nTDZmiBa\nXDCZXQDLA4YOXVWgKElkE2Gko/OIBIchpx7slo56TUA5OX8BTls7bGY/+PvlVCfm39jR2IntUNQ0\nbo6/iIGu52CW3DBLLpw79ntYiY9jYfk6IvGpPdsXSXAAyI8X++jJf1PVa/gtGgoUpbpxQgeN3dIC\nj6MXVrMPJsEOnjOD4wSwLA/2gDYGrZ6Lp/q/DLPkwqG2j6En8GTN56JWZgLD3WwQGAn+HI90fwn8\nuq7AHlsXzvV+BffCH2AxMQpFLd3FTeQtcJpb4bZ24t7yB5BzxV0fFTWDyaW30decvyvLMAyGOj6P\n2/M/QSQ1U3J7g63PwGFaq6SXkiOY26LaWX/Lx8CCRTA+glhmvuLFNc+KGGx9pijhX05OVdz+bqs1\nTkD5WFVSS5yAfKwaKU7k4DuY3/BV0nIyLv/4v9Z9u3JqBZd+9J92vJ2cnMpXJKuyKlk5mfjijvdn\n+K2/3tHrgXy8IwvDiCzUZ2Dmqtji3brEu1ZaTkY0OLprXb6G3/yrLddJReerPvbJq9/H5NXv73S3\n9oRuqFiO3YXN7F/3eH8S9Hg6iEsj34DfcwztvrOwmJrgdfbD6+xHMrOIifnX92ScBMfVXsJ0qzuR\n9aru1Cgspib0d3wKDmtg03OGoUPTc9B0uZAMHzTxdBBjM68WzkOW4Wo+Fw3sfau/nEvi+swPcLzj\ncxDXlQsWOBP6mj+CvuaPICGHkZGjyOkZ6LoKnpVgEuxFd2pmI1dLbn82chVOSxt89wfDC5wJJzu+\ngGh6FuHEFLJqDLquQeQt6PM/AX7d35Kmqxie/wm0sl0m8ziGR7NzAC2uI1B1BbH0HJLyMuKZIDRd\nBcfykHgr7KZmeO2HiiZ91HQNM5H9H4daS5yc5gB89r6SsaqkXJwySgQ5TS4Zq7XtN0acyMH2QCcu\nhJDGZDP7i+arYBke/R3P4sbES6h28rN60g0NweXrCC5fR3/HJ+FzD4JjRdjMfpw49ALG517f9kR9\nVe+DngPL8lDVLIanf1zVa2Qlvqv71EhMkgunDq+16kfiU1iM3EYiE4KSSxa6JNnMfpwZ+Mp+7uqO\nrJ6HTmsAzZ7j+3Iubkc8G8TV6RdxPPBZWEp0YbRLXti3Ue1q1e35VzDY8gk0O9eqeros7XBZyg9S\nVtQsbs7+YNPA663wrIgmWw+abD1brqsbOkYWXkVarm4i6t22nTgB24vVQY4TObgocSGE7CmWFTDY\n9RxYhoeu57Acuwuf+wjcjm60+89idrG2uYDqbWzmVUzMv4F231l0NJ8Dw3DobXsKkfjklpM+7oSs\nJsHzZrCcgGjiXsMPXt1r3c2PFZKW6eDbmAqWvlNdv/Fw+yuWmkcsNb8v5+J2peUo3p/6O7Q6j6Hb\new5iDXe+VlvryzEMHcMLryKamUeP9/yW216M38H40i83dT0rJ54JosneW1Ohgng2hLvBC4hnG2dM\nY61xAmqL1YMSJ3JwUeJCCNlTh9qegsWUr3s/Mf8mgsvXYDY1wWb2o7v1o4gmpvdkxvNKVE3GVPBt\nqLqC3sBTYMDA4+xFenHri8Xt3i+KJ+dgNfnAMhwcllbEtihysNf2u8Dmaqlow9AwvVi+oIdJdOzV\nLu2JnZyL+8EwdMxHb2Ahduv+2JUuuMytEDgzBN4MnjXBgAZNz0FWU1hOTCCamUc0PVtVsr4QvYml\n+Bi89kNosvXCJjVB4C1gGRY5NYOF2C0sJcZrKgUM5Ae3h+IjcFs74LS0wSp6YBIckAT7/UlPc9A0\nGWklgkR2EeHERENfiG8Vp6yaQCQ1XXOsysWJ50zgWKFkrCaWdtYdnpD1KHEhhOyp1qaTAPJdfebD\nVwAYGL33Mk4PfBksw2Ow+7O4Mvq3W/ZJ3wuxxNqgVm6Lif9WrU7kx/NmMAwHo8xg6Y2WoiNo9Z4C\nALT5H0FssrESl+0eV72sxl83tAolnovLSj9ItnMu7ifD0BFNzyGarv95rOoKgrFhBGP1HU+p6gqW\nEuNYStRvHinD0PH6yJ9WXGcyfBGT4cpVpqrZzkYHKU6EVIsSF0JI1dq8Z7cshwwA06GLm1pPGTAY\nOvQCAGB46kdYiq5V+Etlw3jr2v/EiUMvwGXvxOMn/gi3p76HcPRuxfdhGBaS6CgqcW2SXNA1Baqm\nQDcqD07/8PE/AMvyiCXnkEjPIy1HoBs5SIITTY5DcNnzZc8zcgQzi+9tedz5Y38bR7u/AIZh8fjQ\nv8bIdH4+C54VIYo2xJNzJe+mRJOzePfWn+P04V+H19mHJ059DbISx3J8HFk5Ch0GBE6C1zUAq8mL\n5dhd3Jr8XlX7VA8bj2tu6QoSmWBVx7aKYVjwnASOk2r+zGYWL6In8CQ4VsT5Y/8K06GLSGZCMAwd\nFskDv/so3I5uJFIL0A0NbBUlflmGA89JYDkRDJj7y3iYJBc0TYaqKVUlaDs5rlWr5+Ls4vtIyxGo\nugyWYXd0LhJCyIOGEhdCSNXWD6ivZGbx/U2JS0fzo3DZO7EYuV2UtKwxMDrzE5wd+E3wnIT+9k8h\nkQ5tmhmeYVicP/q7YDlx0/wjPCfh0SO/U3isGxo0Tcbtye+XvaBmWQFuRzfcju6Sz6flFdya+G7V\n5WTD0bsIrdxCs+cYWFbA0e7PFz0/Pvda2X1RcmlcufN3GOx8Di57JyTRgYD3dMl19T2+47HxuEqd\nC6WOrdLnBVT/mc0tXYHb3g2XvQuiYENf+8c3bSuWnMWtye9i6NALsFtKz9Btklw43fclcJxYck4n\ns+Qq3h9dhaYpuHL375DdMLCYYVh8eOgPd3Rc67GsgM6WD5d8Dqj9XCSEkAcNJS6EkF1nt7Sg6/4F\n2d3ZX5RdT1biGJ/9BQa6PgOeN2Og49O4Mf4ijA0jLATBWtX7sgwHlreUnUj0yp1vwe8+Cqe1DWbJ\nBZ635GdHVtNIZsJYjt1BKDJcc7eo0elXEE1ModlzHE5bBzQ9B1XNIpUNI5WpPCGckkvh+vh34LZ3\nw+8ehMPaBlGwgmV4aJqCcGwMK4lJrMQmatqnelh/XDazHxwnVXVs1X5eQPnPTDdU3Jh4Ca1NJ9Hs\nPgKzqQkcy0NVZaSyS1iMjiK0fAMGDMRT82UTFxYsBMFS/f6wfP4fSg/6r3byzmrPxRbPMfC8BSzL\nw9DVHZ+LhBDyIGEMw9jvMZcAgLa2tv3eBUIIIYQQQkidzc3VZ7zbg1E3khBCCCGEEPJAo8SFEEII\nIYQQ0vAocSGEEEIIIYQ0PEpcCCGEEEIIIQ2PEhdCCCGEEEJIw6PEhRBCCCGEENLwGqYcMiGEEEII\nIYSUQ3dcCCGEEEIIIQ2PEhdCCCGEEEJIw6PEhRBCCCGEENLwKHEhhBBCCCGENDxKXAghhBBCCCEN\njxIXQgghhBBCSMOjxIUQQgghhBDS8ChxIYQQQgghhDQ8SlwIIYQQQgghDY8SF0IIIYQQQkjDo8SF\nEEIIIYQQ0vAocSGEEEIIIYQ0PEpcCCGEEEIIIQ2PEhdCCCGEEEJIw6PEhRBCCCGEENLwKHEhhBBC\nCCGENDxKXAghhBBCCCENjxIXQgghhBBCSMOjxIUQQgghhBDS8ChxIYQQQgghhDQ8SlwIIYQQQggh\nDY8SF0IIIYQQQkjDo8SFEEIIIYQQ0vAocSGEEEIIIYQ0vP8PwzlX5MQV+l4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932c63e6a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_corpus('Death/Progressive Metal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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y5d/yUL/cQlIzxhUKb1H+zo/RqMHrL0V56bl0G/K4mm6o4HKJPPbNIOs2Wcdt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\n2fMPI4kmdF2dcyLKXOQQRfmaWBhZCEOBNqqLd6Y9V+xpIuR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kCvFKw22tGP97JNw1S8nc\nqSnYicdagaYnGAi1EoynFFq7uZBK91YU2cbm8vs5fOnBrCFuzZKNmoId1BXehGHojEa7CMWHMQwd\nxeTAYy1nNNKd8fqTvY8hIKQm4rKF2oKbKHXOnkB5OhaTi01l941bLgyH2/FHe0nqsZTJruzCpZTi\ntpYjChL9wXMz6mjxPYM0aZe8rvCW8Z2ulv5niSXTK4zpdlvyJRdAJJF6JoUTo/ij3UQSo2hGEovs\nxGuvw6mUAKmoXMFYf9bEohvL7kv7vZc5NyCJppy+++my3VzzgTnJNJ97Pf0+x9UQg6E2SpyN2M1e\nPNZy/NH0u06SaKLYvgaAhBZlKNwxp/7OlRWpuCiKm86+VASgWHwfm9e+E3oyl9cSuSsZmZSWKfUt\no9KiGxpDYxfoGTpGIJJ5a3IxSWpxmjseoaxwCw1lt885gMB8WQybctPlJGG+0TMktSjrqt847rC9\nUGLJIGc6HiUYzV8Qh4UwNqxx814X8ajBYG9qMtLeEkOd9PsY6U/S3xVnZECl5WhKQWncYuXUwRCv\nPT81u++hZwOceS1MZb3Chp02bE6JnXc5cbol6poUzh6LEBjV2LzLwbMP5T4hvVbG1mIzHGzjfNcz\ny76Tt1CuFTmWClWLc7r9F9SU3kJNyS15d6rV9CRtfS+thm2/jNXsGf87GM/PApTHWkE4McKJnoeJ\nq1OtJYodTZglC1aThyJ7HYOhtlnrclkr8NrrGIv20tz/DPFkcNby6TAwSGjRy//PPQBDqaNxXGm5\nMPgi3f4TacvJopkCW3XaMNHTd4Qmm0uF40MZd4xmY6FyAQRiPl7pfHBG9DiA9uHDNJXcSaU7lQi2\nwr05q+LitddxoP17M773ztFj7Kx+T87f/WTZ5kq+7nXP2ElKnKlFxgr3loyKS7GjEUlMWXn0B88u\neh6dFam4MEnopBpFWqLJzXKRVKOMhjoZDrQyEuxYMZMs38gphsfOU11yC+WFW5Elc97bSKpR+v0t\n+EZOzzlaTi6YJ2XvHg60c/TCD2msvAevs2HedRoY9I+e4WLvCyvmuwIY7ImzZbcDi13ikf/M/GDS\ndRDEiZ2nREzH5php+5+8nCVYECAeNTj8qyAvPzl1peY7f91LVYPCx/+mkr/5/Y6c+3q1jS1/qJML\nPc9RVbxzykRnMQjHhujof5mhsYuLUv9SybLYclzLGBhc6j/EkP8C9RV34J0l4mPOdRoGg2NnafPt\nJ56Y++T3WkUWJ94R85kkpsPAoNn35IzJK0DX6BHWFO0BUrs92RQXs2QhmhzlRO+jaPr8fagWgjzJ\nRyI4S+4aVU8wGLr6fu/plJYrXBw6QLlrI6Ig41CyJ0w2MNJ+77FkYM7f/XLjj/YQToxgNxdS7GjE\nLL2Y1j+n3LV0ZmKwQhUXRfFw645Pjn8WRWX884Gj31iubs0L3dDQdQ1dT6YcOZNB4skQsWSAcGyQ\nYCTlFL5SSWpx2vpepHPgECWejZS4m3A5KhdkVxqKDeIPdjIa7sQf7FzUDNqyOFXpjSUCnG7/JR5H\nNVXFOyl01s9JlgH/WboGXiUUm/vq0GLT35NkQ8LAViIy2KdSWGrinrcVUF6r8M7fL+bZn43iH1Jp\nb4nxnk+UsGazlZ/+2wCtp6Lc9VYPH/5sGaIo8KN/mvliOvxsgN/7i3LqN1pQLAI/+AcfniITD3yw\nkEhYp69z7grc1TS2dEOjd/gEvcMncNsr8LrWUuiszckXIReSapSRYDu+0Wb8ofyYq2RiuixrK+/N\nmxxwOULVEshxPRCOD3O6/Rc4rWVUeLdS5F6HLOXgcDOJRDJEv/8sfSMnr+vkkpmQJwVuyZfZnD/S\nnXEyPHk3QpFyy2J+afTosiktkDKjukJd4c00+55G1VfOot1ioulJIskxHGYvsmhGEMRZdxT8s5jt\nzee7X256xk7SVHwXoiBR5tpIZ5pQ4FcCCQTjA4TiM6P/5psVqbgcPPb15e5CWoJRH/tOfm25u7Es\nqFqC3uHj9A4fxyRbcdnKcdnKKXTWo8gORMmEKMgY6GhaEs1IomkJEskw0cQokfgokfgIoWg/yTnm\nT1kIUoaVfH8oFW5XMdkpcNTitldhs3ixmFxIkhlRlNF1FU2LE034CceG8Ye7GPQvbXLJlkuP00Ju\n0TmaXwnT/MrU7fKf/vsAP/33qQ7Dl87H+Nr/nZhUGgZ850t9mBWBZMLAMGD/4xMTnO621AvqX/+y\nB8UikkjoGDoM9ib44T/2I5uEcX+Z+ZBpbF35PrKNr+Fg25KOrbFwL2PhXtr6UjloHNYS7JYirOYC\nFLMDRXYgyxZkURmPfmYYBoahoekJEmqURDJ0eVwNEYj0EY4OLksyu7FwL6+d/0FOcgiCePmlPbss\nC3VQn85bv3s/Vq+VQGeA4/91mt4jKdPMdt9LtPtmd5ZdChSXwp1/tYfQn+RX7skEoz7Odfu40Ptr\n3PZKPPZK7JZirEoBJsmGJJkQENF0FV2PE0sGiSX8BCP99Awdyzi29vyfHZTfUISt0Iq/K8iR7zXT\n89rczaViiTH2nfwaTW+oY+3ra1FcJn7+e7lHKqvcWcrIRT9R/8zJsOJSuPeLu3j8j/eluRIOtnx7\nzv2djKYnEaWUOZ6Up0iFs0Wgik8yacq1vZFI54L7tBAGguepK7wRq8lDob2WXXW/RV+gmb5Ay7iP\nyLWMOmmXQUAcjxqXjnx/98uNL3COBu9uZFGhwr0preJyhb7AmSXp04q8c9oCQkqusvgk1SjDgTaG\nA22LllcmX4hZwp/Gk2F8o2fwjS7ND26loCZnTmQS8ewT53hs6gNbUw00NX8T7sljC6BYqKBILEc1\nVPqMDkLG3MIzN4ibaNObxz9XiPUUCxWc0F6e9Viu1BiNtIVW9u5CuXkN66w3zzj+SugJIlrqfqpa\nfFyZX2ns/7tD3PyJHTz5qeeWuytpiQfiPPMn+U0KnAldVxkNXmI0eCl74Rx4+Z+PUtTkYfcfbefR\nP3p+wfWdf6oD38kh7v3r9Ik0M7H+zQ0c+c/TaRWXeCCeUWnJB6oRx0RqZ94k5scsPabmzxTPwCCx\nzIlBdUPjeM8jbCx7HW5LOSbJQk3BTmoKdhKMD9AXaKE/cO6q3YWxmj0U2epxWIqwmtyYJAuSoCCJ\nEqIgz8nPLJ/f/UpA0xP4Amep8mxLKa62WkYiM58/uqExkMX/J1+sSMVllVXyR36jiK2ytFgEO316\nJ2FjjA3SjZzTjhEnioIVp+AhYIyQII5VcODETZQwQSO1W1QglDBiTA2c0Ku345XKZj2mYCFODJvg\nJGFEUVFzrt8i2HHgYswYJklivJ8RgkSMlN1zurpWmRvOCge7/+Qmgr0hPHVuBEngwD+8gr8jpYhV\n7a5gy3s3IkgCgiRy6B9fYfhCamX4/q/vRZBFAl1BXvnWURKhBFs/sBHFZaFkazHnH71A3V21JEMJ\nXvjiy1nbuvfv78JZbucXH5y6M7rl/Rupub0KQ9WJB5Ps/8oh4mNXz8Su5tZybnjfegRRQJQEXvrH\nIwyd91N1Uxnbf2sDoiQw1hXk4DdPEA9lX2zc/oEN1N1Wga4ZxEMJnv/bV4mPxdn7+Vsov6GIOz5z\nI1pCo/VXXZx7MpWrYs3eata9oQ5nuZ2ffOCpKfVl6scDX7uDsZ4QhfVuBFHgxb8/wmhH5gWPWCKA\nVXYDqZwuY7GFB1vJZ3hpw9CXZTd2OrHkGEe7forXXk+1Z9t4lCqnUoKzuIQG7y66/SfpHD1yVUWq\nU2QHu2o/mPH8lfufqwnztRhavGfsFFWebUAqQMFkxcVzOSrfYKiN5BL5/M49y+Iqq6yyyhKTJEG/\n3kmBWIJFsNEgbURFpUnajoyJRnELCeIoTDjaqiSoFeceHtMtpJLIlgpVKIIt5/odgpt6cR0aGk3S\ndiRkCsRiVFTWiluRMWWsa5W5U7zRy8Wn23nyk8/S+kQbG9/RNH5u07vWc/ibR3ji47/i6U89x2h7\nauJq8Si88Fcv88THf8XQ2WG2/86W8WvigTiHv/4am9+9gWc/8wL2UhuK05y1rZf/7lDa/rU+0cbj\nH3uGJz7xLMPnRmi45+rKXr3lXU0c+PoxHv7DX/PoJ/cx0pbyxdz9R9t49vMHePgPf83A2VFu/L3N\nOdV39vE2fvGx53j4479m8NwojXtTE9/n/vowwd4wL371NR7/kxfHlRaAi8918fzfzkxYavEoGftR\nstHLhacu8cgnnuf8E+1sfufsodcD8QkTP7e1PCdZrmeGw+0c7/klBzt+QMfwYaJq6rcliwp1hTex\no/pdUxIermTMkpWd1e8CIJr00z58iOM9v+TQpR+yv+3bvND6L7zQ+i9po6RdT0QSo4xGUrvxRY76\n8dxCkMqDA+BbIjMxWN1xWWWVVXLgZucD2ERXTmV1Q0NDI2nEiOsRIlqAoD6CXx0gps/f5EFHx4SJ\nQqEUCRNFQhkmzKgkSRKnQCimV5+Y9AQNP3oeVipzrd8rlNGrdzBmjGAzHOMKkN8YpMAoQhGshI1A\n2rpWmTuR4SgDzalocf6OMar3TGSaPv/4RfZ85hY6nu+k9ck2oiMpG/Wi9V66D/UC0P5CJ2/85kTi\nuZAvTGwkRrAvhKEbxINJZJucta1MlN9YTv09NajRJI4yO92HZtq+m5wKTR/dQ/M/Tpiabf/SAxz7\ny6m7N40fupnW78+cwC8mZx9r587P3kTb892ce6KdyOV7OHzBT3Q0tbLa9nwXb/3W3TnVV3VTGWvu\nqSYZUXFW2Ok8OP9w/yUbCjP2IzIUpb855SA80h6gZk9FxnoA/JEeagt2AlBsb+SC+CLqMjrCXy3E\nkmO0j7xC+8grFDnqaSy6DavJg8PspbH4Nlp8ufs4LRc1hTeiyA6GQm00+57KGMwlm8n59UD32AkK\nbNUICJS7NtAx8iqSIFPsWENcDY0rNkvBdfNtuHfcTMOnv0DDp79A1Qc/OuO8pbKGhk9/gcoPzDy3\nEIr2vpHa3/+TvNa5nJS5NrCh7HVsKX+ADWWvW7R2Gry34swh9ODVwtabP8KuvX/Orr1/zo13fnrW\nsmXVN7H91k8gXiXOe9MRBQmTYMYmuiiQy6hUmlhv3cUu51u4y/1ebne9k3plK5KQm3zVYiMbpZuQ\nBTO9ejs+vRON1HZ8xAhiEWxohgYI1Imp1R8FK/XiBmyCnXpxAwoWLIJtyjEzStpj5WItDeImnEIB\nQM719+htVIj1rBE3Y8fNiDFzlS5dXSuJt/+Gle9+p4B1TalIS295s4W3vsXKPXcrlBSn7LxLS6Xx\nv+vrZez2lAlFba3M/W+YWGktK5PYu1ehyLs4rxk1Om2SMcmSw3d8gEd/7ylOPXiGDW9rYsPlHZLB\nM8NYC1N9rL+rBt+xidV2Q08poYZhTKpSyNpWOrzrCtnwtkae+9w+9n/lcMZcY+s+dhvdj56m/n07\nx4/piammJq7GYpxrJqK+WUqcbPzjuynYUs7WP389ss1M2T1r2faX91GwtYLtf/1GZJsZk11h21/e\nR/Guutk7m4G+4wP87Hd/xbEftbDx7Y1sfsdaAArXuLFdvocNd1fTcyx7UILidQVsensjT312Py98\n5VW0+NT7mYwksXhyz6/V3zySsR/J2NT7l83AZyRyifODKR8aSTRx25qPUupsynLVKpMZCrVzqOOH\nBC7nwSl1rs9qWqUbE+ZkZnl5ImwVOVJhxs8PvZhRaZmchPJqJR/3eijUTttQKr9ivXcXbksZ60tf\nhywqHOv5xZKaM16dM6OFYBiYS8ux1a8l0n5h0Zuz1q1Z9DaWEl+gBV+ghRsq3sqpvtSqoENJrSxb\nZBfDkUsYho7bUobF5MQf7RuPaW5XvNhNBWiGRigxRDwZRDE5cSklBGJ9xNUIdqUQq+zmSoJ7h1JE\nNOFHM1QU2YYgyMSSCwsfffPdn8moFBx67ssLqjsTp4/8FyaTjeo1d+MpyiVrvIFwja7ySIKJWssm\nysz1tEQP4lczT3y69At0MfV3qqPRor2GhIROyv641TiFiDiu0MSJ0q630K5PiilvQLuR/dhJ7SAC\nAvqkyDE51Q+0aEcQkdBJvQR9eioa0ORy0+taSezZo/BPXw/xunsVzp1PvezuulPhfx+K8qUvufjk\np/zccrOJRAKeelrjzW+y8MQTMfoHdD7zpw6+91+pJJMVFRJ/9HEHv/hllC983sWf/fkYwdD8Xmx7\nPrsLW5GV+79xL8e/f5q+I9l9EG75xA7s5Q4MVSM6EqP5p6lM3vFAnDd8fS+iJBDyRTj8zSPz6tNk\nbvuz3VhcFvZ++Q6GL4xy/L9OMXx+hNGOAPd/fS+JiIrv+Ewl1uRUsFV4cDQW4d1RTft/p+9LoHUQ\nPTkxqSq6sRrZbqZ4Vz0mpwVHfer52/9yG6MneynYWolSZCfcNUpiLEbgfObQ7Xv+zw7KtxVh81p5\ny7fu5sj3ztBzJNXXWz+5HWeZDV01iIzEePGhVP8OfOM4e/9qN6IkEPSFefkbE4ks7/mLW7B6LdiL\nbbz+b29l8Mwox37UwuD5UUbbx3jzN+8mGU7Se3zqb/70Ty+w51PbiYeStDzaxsXnUr+bO/6fG3GW\n2lDcCvf93R6GLvg58t1m4oH4rP2YKz3+k5Q4GvFYU+HYN5S9HpeljEujr5JIE6nQoRQhCXJe/GGu\nBio9W/FHM4d4BnBZSnGaU4uN4cRI1ons5Ghk5a6NDIeXfgf6in+T115Lr//0jPMOpYj1JXuXvF/5\nJl/3ui/QTJ03lRTX62ig0J4y94wmltZX87pTXCIXzmJr2kDB7jsWXXExuT2YCgrRgtdWlInpbCx7\nA71jp1MhAw0DUZCxKYUk1Aiby+/nSNdDWEwuGgp30eU/RoN3N6f6Hksd8+6ib+wM64rv4Uz/r2go\n3E3P2CkKbbUMBC9gNxfgUIrxBVqo9uygL5gfO8qx4TYGfafyUlcu6FqSuDaGps5M3jQdX9er+Lpe\nXYJeLQwDg4Q+VR5BEBCRkIXsuSYU0cY2+z1cjB2jO35uzu1rTEzmDHS0WUJUzgXj8n9Tj+Vev87s\nuWPy2dd84naL1NVKbNpk4rY9Zr71r6njzz4X4+ChONtvMLGuKf0rIxTSGRkx2L3bzKuvJbjzdgWn\nU+Ceuy14PCLr1pl47cj8zG8e+d0nZxwL9oZ49KMTztoDzUM897kXxz+/8MXMEeKeShOd7OSPJp4r\nV+p59jMvjB+bra1f/WmaaFwGHPj7wxn7AFB0cy39L7USbh8hfGkER20BoUvZQ8uqMZWB/W34Xph4\nf5WVrsVITBt3BrR8Yx87/vZNHP2zx9LW9fI/Zw5t+uwXDqY93nt0gN6j6Rcbfv03GWQ2YN9XX8vY\nVuchH52HZioBL/595msy9WNyGOb+5mGe+lxu0QKb+55ka+VbcColCAhUebZR6dlKf/Acmp5AEmUs\nsgeH4kUWFbr9x68KxUVAQBLNSJIZk2jGLNnHz9lMHmJKIaqWQNMTGU3kKt1baCq+k2jSz1isl3B8\nlKQewzAMzJIVl6WMInv9+GJb1ywhc68wEGqlwbsbQRApdjSwo+odDIbaSepRJNGEWbIiiwoXBl9M\ne30+5PIFz1Fgq2Zt0e3YTB780R5ULYnF5KDAVk2JYy26oeGPduOxVmWVKV9Ml+0Kuco1nen3utqz\nI+f7PJmEFmMgdJ4y5wbKnRuQxdx3SfPJdae4xAb6EO0OLJXVWGvriV7KonkKArb6tTjWbcJSWYXk\nSEUf0SMhYr3d+F87SNzXM15cKS3DfeOtmItLMRWmVh8kp5OGT39hRtXt//xlDDW16mpye6j+yKdS\nx7/2JQx96sSm+L634NyyHf8rLzPy4lTb0bqPfRpdVen8zj8jWSx4br0L+5p1SHYnRiJOfKCPkX3P\nEh+c+pC11jXg3rELS3kVgllBj4SJdnUw9urLxAdzd0ZLqhG6/ScmDhgahmHgUkqQRQUBAVEQUfUY\nMTWEqidIanFKneuQRYVixxpMshWHUoQv2MJIpBNvNOXIOhhqY2PpffQHz2E1uWdd8ZkL0cgQQ76Z\nKyyr5E7SiHMw+Mu05yRBQhEdOKUCPFIxXlMVZmGmw6aAQKNlBzImOuKr38dycvddCk88GePceZUL\nrRprG1OvB6sttf1pswlEowaqCpfTXlBQkJqoGAb8xefHaFxz2SckavDU0zEeezy7on694t1Zzdlv\nvYQaSU0+infXo8ZUbJUeGt6/k+7HmhFMMpX3rR8/1vNEC4Mvt7H+E3fgWluMpEic+/8OpK3fUuqk\n9m1bifbOLYT49UpCi3K8+xc0FN1KhWtTKm8RAmXO9cvdtXmzu/5DWOTMvomNxbcBt41/NjAYi/Zy\nrPvnU8pdWcixmjxYTR5wpq/PMHTahw/hC5zN2rdYMsD5oX00Fd+FgIDbWoHbOtUfSdXjaSfU+ZKr\nP3CWQlsNpc4mqj3bqfZsn3I+oUVp7n0cxeRcMsVlNtlylWs60+91Y/GeKecz3ed09PhPUebcgFm2\nASxLYtTrTnERTWb8h16i7B3vw7PrjqyKi72hidK3/SYAhqqhBvwYmorJ48W+fhO2po34fvbD8XpE\nsxVRklFHhtGiEazVdRhJlWi63R0jfzaBksOJbHdQ8d4PI7sKSI4MkRwZwuQpxFq3Bu2ZqStuhXfc\ni+fmPWAYaKEgamAMk8eDY+MW7Os2Mfj4zwidz213Y7ptaKlrPbJopn3kldSDSBCIJPyAQJG9nnMD\nqRVKVU8yELow5SFX5kq9JMTL/g+6oRFJjlLl3sZwpGOed2d+KIqL6jV34/auQZJNREKDnH71u1nL\ndLftwz98cc7tbdjxftwFdeOf05mtNW15B5oaZ2ToPNUNd2KxFZKMhxnuP0NX+z4MPfVdOFzlVDfe\ng91RhmyaqjCcP/VzRgZSpks2RynVDXfgcFciyQpqIkJwrJvOi88Tj85/+1czNCLaGBFtjH46EKKv\nUWKuoda8GZs086FcZ9lCwojRm2idd5urLIw7b1f4y78aIxQyEAS4d6+Fnl6VHdvN1NfKeItELrSq\nhCMGX/yCi3VNJioqUhpMZaXE7/y2nWDQ4J+/EeSpp2P89V+52bzJjMUCf/uVIInE8od0XUmc/vuJ\nnR9/iw9/S2ph6eAf/GRKubYHX6Ptwak7D83/+GskRUZPahi6ge/XE++Xth9N7Nae/4+DGOrK291b\nqah6gvMDL9DlP06Jo5FCWw1OS2nKtNNIElfDhOMjjMV6GQyt/GeVJKRPwJyJ1Er/zN3yEz2/pNSx\nDo+1AptSgFmyIV3eVU/qCaLJUfyRHvqCLXMyG+r1nyYcG6LSsxW3tXx81ySpxYmpYwQy7GjlSy4D\ngzO+pzFLFhxKCbJoRtUTxNQgI+FLdPuPkdBiWLSly6MzF9kyyZWOyfe62JEyV892n9MRiPUTiPXj\nspQCqd2cpea6U1wEk4lI+wXivj6s1XVZy4fbzhM4+gqR9gtELrXB5Z0QyWKl5E3vwFq3hoJb7x5X\nXKJd7US7Un9bKmuwvvfD6LEovkf+d9FkAhAkkbK3v5/4gI+eH38PLZzyKxFkGWvtGtTAxMPEuXEb\nnpv3oI756X/0pxM7RqKI56ZbKbx9L8X3v414fy/JsblPXmPJMeoKbkKR7eMKiCCIqS14QcRuLuDi\n0AEGgxdYX3ovLqUUSZQ5N/ACpY61OMxerJNWHHoDzeyseieHLz24gDs0N2STlY07fwsDna7W50iq\nUYpKN+HxrhlXSjKVWb/tPZw98ZM5Ky/njv8Ek8lORf0eSiu3ZyznKWrE7V1D76UDxKKjeArrqajb\njarF6O04gMlsY/0N7yUw2knzke8jSjL1696IYnFx4tC/oyZTq+CiKLNh+/uJhPtpP/cUuqZisRdS\nULgGLZkwre6sAAAgAElEQVTfDPQGBv2JSwwkurjT/Z60ZdZadxLW/YypQ3lte5Xc+ONPT/zWjx5N\ncPRoaiXtkUdjmM3CuOLR26vx+x8bRZIEkpMSmX7lqwFkU2p3Jh43+Mzn/Fgsqev01blz3tHi2X2k\nVpWW+RFN+Lk08hqXRjKbqk2nffgw7cOzmwdeqfv5C9/MWu5g+/dzbjsT+9u+s+A6ABJqhC7/Mbr8\nx/JS32TGYj7GfHMzucuXXFc43vPwrOdjycCs31k+v/t8yzaZiXv9zILqMSYtVvvGlj559/WnuIip\nFUL/4Zcofeu7s19gGAz9eqaNtRaLMvLSc1TWrUEpnT3c4pIhCAw89rMpZmaGqhK5eG5KmYI9dwEw\n+PQjU8zc0HX8h/djq1+LpaoG59adjLyUPlv18d6JH/qJ3kemnPNHezkZe2xK4qz6wpto6X+WYHzg\n8upKBcPhDpp9TyGJJnRdxcDgRO+jiII0ZRfHwGAkcimvWXnLqm+mrHpqNvHRwfOcO/kQAOXVt2C2\nODlx8N+JRUcvn7/A5ps+PK6QZCpjvaWIqoY756y46LpKPD6GmojMWs5kttNy9L8ZG00pyP6hVhzu\nagq8jfR2HMBVUItssnKp9dnxXZOejv2s2/ouFIsHNZl6SZgUByazlaHWU4wMXN71GgZf5+KFXTXQ\naY68zEbbboRpQQ0FRNZZbuG1cOawlKssD9N3S3QddH3qsaQKSXXqsVhsdZdllVVmo/qud2Evq+fi\nw/9GMroy/GGV+kocd9+EkVRJdPQSeim7z8psOO/YiXX7ega+vnSLj6ssDorJOW7SF02O4o/NP6z5\nfLn+FJfL4arCrWdJDA2glFUQ9/XOqy51LDVZFWQJQZbH/VWWi+DpozN8Y6ajFJciuz0Y8RjRro60\nZeJ93ViqarBUVs+7L9MnnqPRHircm0hqjciijC8wEWVpepbdydeWOtdSZF/DxeH0dtzzJZ1zfiI2\n8dJwexuIBAfGFZIUBg5XGaIoo+tqxjLBsW5KK7ePl8s3mpoYV1quEIuM4HSncktI0mWHuckK7GUT\nsslO5/HoGIHRS9SvewMOVwWDfScIBRb/ITSY7ORcVGK9ddeMczbJRZW5ic54S5orV1lllWudhjd9\nFKs3fSLI6FAPbY//xxL3aPHR1URO4WTd9ZtwVq+n+8WfLWp/RKedRGsXwZeO4v3tt5Bo60EPRzEw\n0PxBTGVetNEQejyOuSIVKljyuomdacPQNOQCN6bachJt3WiBEMEXj2DZPBFN01xZQnJwFCORRHI5\nEGQJdWTVF+tqoNw5kXS5b2x53tPXneIyjmHgP7yfgl134Pvl/8xaVLLZcW7ciqW6DlOBF8liRZBl\nBDk328KlIjGc3cTGXJR6yAiKhYb/+/lZy0pW+6zn54I/2os/OncFsT94gf5g/qO/ZXPON5lsKFY3\nu/b++YxzskkhEVdnLTO5XL5JJkJpjhpcyVgwNtyGriWpbLid7rZ9CIJMee1uYpERoqGhKde0HPsx\npRXbKKnaSWnVTiKhATpbn8c/vLh2q75EOwVSGaXmuhnnqpWN9CZaUY3kzAtzQEDELRfhlApxiAXY\nJDdmwYwkmJEECc3Q0IwkSSNBRB8jpPkJaEOzhmVeTAQE3HIJRXIlTqkAq+hEEsyIgoBmaCT0KFE9\nSFAbwa8N4VdXfiSjhSILZopMlRRI5RSaypEFGd3QUY0ESSNOSBvFrw0wkuwlYeRvJ3Y6AgIeuZQC\nuQyX5MUqOpAF8+VdYZWkEac/0cGI1rckJo4W0Y7XVIlDLMAuuVEEy/i41g0dDRXNSBLTw0S0IBEj\nQE/8/Irqz5g6QEjLbII8eOx5zK5CJIsN76ZbAYPh5oNosQjxwPCiybJcdL3wUM5lndXrMdkyeMYv\nBoaBoWoYmoayvhYjqRI50oL95i1EXm0m0TdI4e+8lfD+YynFxjCQvR7cb76D0IGTFL7vfoa//wh6\ndOpvVC7zYqouJXzoFM7X3UL45RMZOrDKSkISZCrdNwCgGyp9geZl6cf1q7gAoXPNlLzxbSjFpRha\netMUW0MTpQ+8A0Exo8eixHq7iQXG0OIpPwHPLbelvW45yGXHR1RSjtpGIpE1cpgWuH5XQNRkFDUZ\npbN1Zvbf5GUfkdnKTC6Xf2ZfmYvHA5w/9TPWbXs3xeVbUZNxQmOdnG15fIptKqRsVX09R/H1HMXu\nKqO6/k7W3/Bumo/8kKB/cTPhXowdw2uqnBE62SSYKTXX0RPPXWEVECg0VVAi11BoqsA0i4OjLIjI\nggkFGw7JQ4kpFcEupofxJdryFt1sl/MtWP5/9s47zq6ruvff02+dudOrNDPSqFfLsmS5yhVjDHYw\nmPCCwYEEQniBJCTh2RAnQEgIjySUQEiFAA8wzRDjDu6WZfU6ozKa0Yw0RdNuL+ee9v640ozu3Du9\nqX35+IPmnL33Wbece/bae63fEjPOf9DsYX88Vza3TFlAg7Y2r2DBkK2SgkcqoETJ7Kg1J9/gTPrk\njNg4FWq0pSxxXZ333LHULrpG+dxUQeO6gndmHTulH+FEajhuXhYU6rTVVKuNOQVKJUFEEuSzn1sR\nlSzCcll0p1vo0JtIOzN3v4mCRLXayAJ1BZrozttGEpSzNYlWU8dqEnaEDr2ZM+m2GS/GVqrUslBd\nQYFcOmobSRCRkEFw4Rb9FMmVANRpqwkaPZwx2giaPTNi23TsAUg7+pBNg2b2Lm+08zicjWAuXnYN\n2Da9e/NITl9mCIKIr7IBPTI3OYCeTasyuyYnTmP09KPW598FsyMJoi8N5wK5Vy9GdLvwrFuK6POg\n1FaiH2/P6pPcf4yS372PxM7DyCVFGD0Te03XXafx/gfd/MFHQ1RXS/zHvxZx99tn5/14531u3vEO\nF4FCkfvuv/Qc5qmwpPxmVDnze9gZPkjamh/VyMvaccG2QRAIbL6R0Juv5ZyWPF4q7rkfQVWJ7N3J\nwEvPZjk4ksc7Z46LKE9ORWM07HQm4daMRuj64X+N0/ryJTzYSnnNBhLxXox0/kT1ibSZL8qq1hLq\nP87Rgz+bsHpdPNLDsYM/Y9PWv8BfWDvrjkvaSdGdPsECLVdutFJZPGHHZYG2ghp1yZCTMFVcopd6\n1xoGzW4i1sw+qDTBk/W3iMhS9yYq1YZJj6Xb8/ddG81pcXA4mtxBT7p1UuP5peKhf/ukIlZ7bpzU\n5ygJErXaMsqVhRxKvDojn1uBVMJyz7V4xNHlVvPhEQtY7t5MtdpIU2IbKTvfzujkUAUXKzzXUSRX\nTGMMjQq1jgq1jqgVZHfsmfE7jcE6763TsmekTS+FfzjlcUpWXkvlNW/h6GNfpnDRWoqXbUQQRWLd\nrfTu/g2mnpsvGFi0lqJlG9EKSxFkFSsVIxU8Q/jEfsInsxON3aU11NxwH4q3EASBdGSA8IkD9De9\nkfW7ms8OxVuImYzmtSXQsJqam+7PutaRH/390ILo+RQv20ig8Sq0onJEScbj9rLqA9nlFQ7/92cR\nFY1lD/wpRjxCyy++kff9arzvYyjeQo7++MvYxtgytokdh4m+MlwU1bFsBDGTlyj6h+/RkQumtm6Q\n2N1EfMfoC0COaWH29OO7eSOpw5NX4JwLfv6LJLt2G3ztK4Xzbcq8UOiqpNBdjWGnUEQXpb5FFLoy\nzqtuRjk5MH+15i5vxwUww2G8y1YSbTqQc85dtwhBVXF0PZOgP2ICKHt8M2aHc16iq6AoOPqIrdWi\nohm5TnogEw4jB4oRVXXIkZlrVl4f4Mj2MLZ1YSbvdnVsp7hiBSs3PEhPx050PYyseHC5iznd9sqY\nbXwF1ZhGaqidIIhIsnb2PxcCAi5PCbaVIq2flVkUBGRZQ5JcyGpmkuv2lmCZOqapY1uTC5vyF9Yy\n2NuMgIgzSkHEQMliyquvIjzYip4KI4gSJWUrcHCIhNrz9plpOtPH8zoufqkIl+glZY8vQ7nYtX5G\nbVrrvYW98eeJWzO346iJw46LiMRqz40UK/lXMMcjbI5eCX02GctpOZLcPqVdIJ9UdPb/A6z33jah\nwqX5UEU36723sTf+PFFr/CKOo1Gh1rPMvRlxhHDEZCiQSrja9xYOJV6eVviYS/Sx3nsLLnHmnjOD\nxvRy2Fyib9pOy2yw4OZ34SqtIdLehOoLULRkA1qgnLan/jOrXenq66m4+naSA90Ej2Um5YqvCF/1\nItKhvhzHpXT1deihPqIdRxBEEf/C5VRsvANRUend99KYdpgnD+OpWJjXlmhXCyef/S6yy03ZupvR\nAuWjvjY9PEDw+G4EQaTq2reRjgzSfzi3qKZt6ITbDlK05Go85QtI9GYvPLlLqtAKSwmd2D+u05KP\ndGsnxb9zN0ptJXLx6E59Yk8zxe97G2pdNYKmEHzsWQrvuh65ooTA228m+tJOrGiC2Lb9lH/yQXo+\n/2+TtiUf11+n8bGPepFkaDtp8YW/jRKN2jQ0yHzmET+dnTbLlkoMDto8/JkIoVAmB3TtGoWHP+Un\nEnP4m7+JcOr0+MIwa9cofOLjPjxuIaffLVs1/uAjXmRJ4C//KkJTszF0/MO/50WUyDq3cIHM5/7a\nT3uHzdIlEqIEn/5MhJYT5pj2jTbeeOcmSoGrksWl1+ccN6wUB7uenFGxpMly2Tsu4V2vU3Lb3RRe\nvTnnnKhkHqJmIp531dqzdMWYYztnJ5ui5gJBGHPl20olMucFAbWknFTX8I+OEgigVUxtkjMS/Uw3\nZjiEXBjAv/oqwnvGl/CbDX7375YSHTTY9XQ/O57spf/0/N0E+TCNJId3fYfahpuoabgBRfNhGklO\nNP3PuG0SsV66O7YPtatYsJH6JXdkjb9+yx8Aw7VaSitW0bjq3qw2667NtDHSSXa/+o+Tsn+gt4mq\nhddSuTDzvbZtk1RikNNtrw4piKWSISRZoXbRzciKC8vUScT6OLr/J8TCUxOsmCwpO0bUGsxaeT9H\nsVw1obouIbOXgDz6g990DBJ2BNNOY5JGQkETPXilQoSzeUHnIwsKqz03siP6FM4MVbiXBBlF0DAc\nnWXuzWM6LaZjYGMjC0reCfRM2TQZarQlozgtNk2JN+gzOqY0riwo+KViVnluyOu0pJ0UYbMfgcwq\nvVcqygkhO4coSKz0XM+u2LNYU8iPqlDrWO6+Nu93AjK1ieJ2CMNOYWGhCBou0YNbzM05UASVNZ6t\n7Ik9R8KOTNoWAZFVnhvGdFpSdpyUHcNw0jjYyKjIoopHLMj7Xjo4dBtTz107Z9NM2XPOppnAXbaA\n1if/g1Qwk/9Vd/v78NUszpnAFy5ag6UnaXvqP7KEbARRRJByv1fd25/CTA0vnvQdeIUlv/Vxihqv\nyuu4jLRjNFssPUW8JyOwUtS4YUzHJd7TRrynDVGSqbr2bZjJKMFj+VW+Bo/somjJ1RQt2ZDjuBQu\nXgdAqGX8fJLkgdy8KHMgRO/Xf4ggiTjm8OS+75vZdYectMHAf/0CQVVwDDOTT/zEy4SeeDl7QNsm\n1dSak/8yHletU3nqiVJkGc5t9hQXi3zmET8PfmCQ/gGb3/lfHv7kj3187vOZe2/dOpXPf2GAkydN\nPvZRHx/+sJcvfSmKpgk8/Ck/733fIHfcrvGpv/Dzvz8+dgmIc30+/NEQ0aid0++hh7y8572DuFwC\n1nkqiw895OVzX4jS3GzknFu3TuWr/xxk7940D7zbzQfe7+Uv/yo8pn1jjTfWuYmiW3FSZgRV8gAC\nuhVjMN5Oe3A3ujH93eTpcNk7LpGDewlsvgl33aKcc3p/ZmVTKSxCq6pF7z6dOSEIFKzdQGDzjWOO\nbQQHM9urqkLB2g1E9u8eta1jGKS6O3FV11J88x2c+cWPsJIJ5IIA5fe8O+P4zASOw+Crv6b8nndR\nfOPt2KkU0eYDWU6VVlqBd8VqInt3YMZmR57xW584wsa3lnL9/eXc8jtVtO6L8uav+tjz3OzH7+54\n8e8n1M5IJ2g7+gxtR0cPrZhIm56OHeNKDPf3HBpTLOAcxw7mV5NpOTwsT7145dvx+is5fuhxzHTm\noStIKmWVq1my+rfY89rXMNJxUokBmvdOPUxjpgiaZ/I6LoVSKV2MP9HqSDdlOS6mYxA0exgwOwmb\n/STt/N9hRdCoVBexUFuZkxPjFv1Uqg10p2cujEET3VTI9VSodVnHQ2YvfeYpguYZUlYU+zzHxCV6\n8UlFFEuVlCg1WTs3c0XGadmYc9zG4nDidQaMzjy9Js5a7y05739Puo2u9PGc0C8RkRKllgbXmryh\nXG7RT43aOGlVOr9UzDL35rxOS9DsoUNvJmz2Zn0252jQ1lCjLcuZnMuCwkrPDeyNP4s1SXnvGm0J\nfil3l91w0nToTfQaJ8cMGXSJXgJyeZYARtDomdAO5mRsmoo9RUolquAasmkmCJ88nOUsRE8fxVez\nGNVfkjWBt5JxtMIy3GW1JM4MO9uObePkqQB+vtMCYKV1UsEzeKvq8y5GjrRjLFtmg9RgD8n+Lgrq\nV9G94xlsI+MUCKJIoH41RjxMvOfk1C9wNll/Qk3Toy8eeK5egXv9csK/mHzu0t796awcF8jsSjQ1\nm/QPZO7Pp55O8dgPhp8pXd0WJ09mvJwXX9L5zCOZxYbFi2QWLpR57IeZtv394y8KnevzH/8WGDp2\nfr8f/yTBRz7s5ec/T9LX72Qd/+LfFvDU06mcc319Fnv3Zr5/x1ssbr1FGNe+scYb69xE6Y0ep3cW\nhJFmgsvecXFMk/CubRRvvTPnnN51imR7K+66RVS/94PonR04loVaWo7k8xF641W8S1eglORPULR1\nncj+nRRu2EzpHfcQuOY6rGQSUXMhqhrt3/qHrPaDr/6Gqnc9iKtmAQs//CcYwQHUsnKsWIzwrjco\n3LhlRl5z7MhhZH8hxTfdTtnd91Fy61swQkFEVUP2+RHUzCQienDmi02d48TeCCf2RvjFP0qsubWY\na+4q5bc/s4j6NT7e/FUfnUfnrlLtpUZZ1VqOH/o5A2dGTN4ch5KKlaiaHyN94by/YasPyN299OaZ\nuOVj0OgmZoWxnDRdRgt96VPYo4THnY/h6JzSm+kzTrHOuzVn5bxWXTajjkuxXEWdtmbo74Qd4Vhy\nFyFzdJGMzCp2nH7jNEJqN4E5DtOpHsVpsRyLQ4lXCM6Awtn5TovhpDmUeGXUcDgbmz6jg6DZzSrP\njXnDlmrUJZzSj0x4NT+zU3MdItKIa1kcS+6kJ902Ss8MbfpBeoyTrPHelONM+aRCGrR1tKQmVwej\nUsldSEvbSfbEn5+Q85ERmmijhzZ6jDYqlHr6zKntio1m01TtEZIZpbaZsGlo/MHsEDhbzzhR0lkx\nmnP07nuRujsfpOGu3yXRc5Jgyz4i7U3YZv5JtigrLNj6AGpBCbLmQpBUBCnzPREEAWeE4zLSjrFs\nmS0Gj+6i5vp3ULhoNcGjmcVSX/ViJLeX4IFXGU/cZS5I7G4msXvmpHRHVoEYuc4rCdnnnPP+3dVt\n8Z73Dk74WuP1efLJFO97n4fv/Fcxj3wmwv4D6aHjr72W5u1vd+WcSyRGfCbC+Ncaa7yxzl0KXPaO\nC0B4/24Cm29EdOeqx/Q8/kMKr7kO//I1aFW1YJnofT30v/AU8WPNSD7fqI4LwMBLz2FFI/hXrUcO\nFCP5CrET8eHdm/NInTpJ14++TdGWm3BV16KUlBE9sIfBbS+hlVfOmOMCENq5jWR7K4UbNuNaUI9a\nWgGWiRmLkj7TQ7ylCTM6+6piespi11N97Hqqj6JKjQ//03K23FtOV0uC1392ht3P9o+7zRlN9vDy\ngcmFUl3KGOk4lbWbsC0TIx1DFFU8/gqqF24mGe8jEZsf2d/RSFj5Q2lGU9rKx974c1jO1KSnU3aM\npsTrbPDdmVUU0ysVograjMntLjovFydk9nI48RrGJMZ2cGbEUZgo1VojS/M6LSYHE6+M6XBNBdMx\nOBB/YUI5KqZj0Jx4nY3+u4dW78+hiV4K5VJCE8wFWqiuyBvudSSxnd4JhsAl7SgH4i+z0XdXzs5L\ntdo4KdUzVXDhkwI5x9v0A1PaMQmaPdP+3uSzaar2nPsez+R32UpOzI5E32laHv9nSlbfQFHjOmoq\n66na9Bb6Dr5O/+FtWTsokuai4a4PYsSCDDRvx4xHsdIpKq6+HXdp/qLTE7VjNomcPETVNXdS1Lhh\nyHEpXLQWgNCJS1N2+MBBg7/4Mz9lpSJ9/TZvvcvFG9uHndGqKokljTLHW0y23qyx/0DmXMsJkwJ/\nxksQhEzI2cDA2Lsu5/ps2KCyZ086p195mcT3v5+gtFhi7Vp5yGEoL5Po7bPynhvvWvnsG2u8qVzr\nYuKycVzMYx0oyYMU2uCUraC/L+Pt1y+6jZOtv+HkN74EgKK40VwB9FQmjtAxTUJvvELojVfyjtv3\n7P/Q92wm76GyeiM9XbuyG9g2oZ3bCO2cWAFFvfs0PT//Qc7xRFsLrV/+bN4+J//ly0P/VmsrKHjr\ndfT/xy8QVBlHz9ygSlkApbaCxN6jIAhoDdVIRQUMbn8R85kIoteNf+sGBAT09h6Sx06A46BUFKMu\nqMDsC6K3z96kqbBUZcNbSiit0WjZG8W2HN71Fw3c+EAl//WpY0RCNjd+70FSfVEEUSB1JsaRb71O\nsnvuJZsVv8aaR+5gz8O/mvNrT4TmvT+gtuEmGpbfjaJ6cGwLPRVioLeJrvY3cJy5z5EYi5Qdw8HJ\nCdMRESfsOEzVaTlH1ArSZ5wakkY+R6FcRp+Ru8gwHVJ2nEOJVzGdeX6QjJFzl3Farsk5bjoGBxMv\nz4pAwEn94KQS69OOTqd+jAbX2pxzBdLEHBdZUKjNIw7Rk26dsNNyjpQdo10/nCMWIQoSteoyWvWJ\nTRpHk1+eqCM2G+SzaT7tyWXiuwhGIkrPjqfp3fNrCupWUbomk7Avu3307Hx2qF3J8s1ogTJafvnN\n7CuN+fs5/7sZtmkQPHGAkhWbcBVXko4G8S9cRqLv9CVZBwcgFLL5m7+N8pV/CiBLcLrT5vNfGF4Q\nO3nS5P0Pelm6RGIwaPPwpzPndN3hTz4Z5rEfFiOIAj/4QYJf/DKzQ/blLwUoLROorJT4l38OsO+A\nwb/+W3yoz59/0ofH68vp9+lH/FRWZByo7zw67Mh++hE/tTUSpunknBuNsewba7ypXOti4rJxXBTZ\nTTTaRXfnDpavfg/hUDuGkSA4OBzDpyhuKqs3giAQi3YTHGhB0/yAg65HcXtKSKdjWGaagsIaVM1P\nNNyJrmdugpFOi9tdjNdfSSoZJBad/YrkAK4VDcS3nVVIM61Msn9NOf7bNxF/8xCipuLYNkplKVYk\nRumH76PnS99FVBUElwsnlhhSGhPdGkXvvp3wc28iFRXCLDguS64uZMt9Zay6sQhDt/mHDxykpy1z\nY5bXuXj/55Zw/5/V8+3PtGKlDLb/YaZYV/271rPkg5s58IXnZtym8TCi+gXrtAAkYr0cO/jT+TZj\nwjg4GLaOKuaGUqiim7Q1N8INvUZ7juOizkJOyZHk9vl3WmDUcLpqNb/TYjhpDsZfmnGpaMjsWEym\nbs85zhjteR0XX56cqXxUqA05OyQO9pRr+fSkW2nQ1iAK2WFn5WrdhB0XaYrKarPJhWjTdLFNg9CJ\nfUTaD9N43x9StOSqLMdFC5Tl9BFEEVdhyVyaOcRQWNoE8l2Dx3ZRsmITgcXrSfV3IkoKoZbZC/2e\nK7Zt09m2LfM86Oqysmq4bH9TZ/ub+Z8Vlg1/+Vf5Fzmbmo28oVh/9hejJ+k3NRv87u/lX2T5xJ/k\n7zfa8Y5TZladmL170/zBR4efD6PZN9p44527FLhsHJdziKJ8NjY189CurbuJcOj7Z88pyJJG2kxg\nW5kvTmFRPbZtovc2UV6xjr7eg6TsIG53Kel0jKUr38nBvd/JuY4su6hvvJOuU9vRtMI5c1xEVcY2\nDLRFNRTdfxuhX72KVl9F7JU96K2duFYtItXUhmPbqHWVCC4NRBEzGMHsHcQKRtGPZVYa7VQaKxLH\nvbKB6EujCwtMhRvfXcmW+8opW+Citz3J/3y9g11P96MnhidTve0pnv9OJw88nFvrYmDvacqvH465\nbnhgA2Vb6rFtGyuW5vA/vEA6kqJ0Ux0L37EaJIHCpRX07+rg8JdfwDasUfu4KwtZ8Uc3kuyO4K0r\nQhBFmr76EvGOIJU3N1J1+zLclX62/f6Psmwq3VRH/bvXn1WoETny9ZeJnOin4T0bUApcBFZVcfrp\nJipvWoQRS3Pw756f0ff0YsZw0qjkOi5zOWGKmLkTcoWZqZ80dA1rgJB5YYTq5dulqlYbWerOdVrS\njs6B+IvEpiE1PBa96fYpqaWl7BhpR0cVtKzjmjCxfIIKpT7nWMjsnXISu+HoRKyBHJU7l+idsLz3\naDuMxUolnfrsiKWMRz6b5tOeqSGg+gpJx7IndZnEfCdnB9JI5L620tXXI6r5d8RmG8e2MJNxNH8J\ngiTjWKPvMuuhPhJn2imoW47s9mJbFpGT81Pl/EJgprSNLhQUReD3P+ajqFjCduD/fj6MOUHlsLvu\ncfPMr8avBfZbD3i4+TYXf/yRbKfpo5/w8y9fnd/7/rJyXErLV1BesYb2ky9hmpkfYtsevvl1PUIy\nOYiejhIeo46F41g42Pj8VciShiCIOdvHpqljGnECRYvo6Zq7Qj16Zy9aXTWR57eT2JORvbVTOoI7\n82B3Uml8165BcCmEn3wdbfHC4WQ12wHxvDvccRj47pOo1WWUfuhezvzD92fMzns+toCmbSEe/8d2\nju8ePdxLT9o5OS6KX6PmLcsJHhp2Bruea6btJ3vAgUXv20jFzY2ceuIQSz94Lbv+zy9Jh1Kse/Qu\nTj1xCNuwxuwDULi8gtbv7yLU3EPNXStYeO8amr/+Cj0vtxDc38nV/zdbuhhg4W+t5ei3Xid6oh9J\nk7Gt4e+EEU1x9JuvsuqTt/DGR3/Mxn/4LRSfhhG7sGSg54vRVv+FEQnTs0naSeFgZ+W5SMLMOi7d\nE95xTzEAACAASURBVJB3nitG7vpUjea02Cn2J14kbs3eKl6vOXW1Jd1OoErZjos0wpHJhypoFEi5\nq+cD5vSkwKPWYF557oBcPm6iP0DSimA6Rs5OUJ22hqBxZkryytMln02zZY+/phGloBhZ8yDICuBQ\nvn4rpp4gHRkk1jm1e0gQBZbc/wmS/V2kBrsxE1FERcNXuwTVX0Tf/my53tCJ/RSv2Ez5upuxTQNv\nZQOeigUkejvwlC+c8usTRBF3WS2SoiEpGrI3k19VUL8KKxnHSuukIwMYidz3Ndx2iJKVm6m/6yHi\nnS2ZGmEuD11v5EYABI/upuamd+Jf4CbacQQrfeVZc6lw7Y0q3V0W3/xKFM0lYJoOi5YodHaY6LpD\ncYmIqgioLgGfX+RMt8XS5TI7t2d+82+8RaP5kEl/X+a5W10r07hMYv9ug/DZ+jaP/zjBlhuyf0ev\n2aKx7dXs75HPJ7JkucKBfTpj+NIzymXluPT3NtN1ejsNi+/AsU2SiQHcnhIWNmylp2sXaT1GNNpF\n3aJbKSiopb3tRcKhDhqX3YPPV4XHV0lf70EKChdQWraKRKwX82wYi+YKUFm1Hgfo7tyBKKpYloWA\nwIL6m2g5+uScvMbkvmMkAUFViLywc0grHUBQZPQTp9FPnEZQZBAEer82LIcbe30fgiwhyNKQ5KEg\nSRgD4Rl1WgA+tTXbmZNVETOdu+J6ZHuIR+/eg+QafmAaUZ0j33xt6G9PdSHr/+oudvzx45jJNLZu\nIfszN1zbT/Zy1efuIdEdRu+LETrcPW4fgERnmFBzJjQu3h6kbHP9uK9pz8NPoPg1Frx9NbVvW0nT\nP71M+GgmgTnZHUEPJUl0RXBsBzOqI3nUK47LWYRRCv6NVjxztjCcdFay90wu1BlOmu5JVpYflXHq\nQo1H2k4OqW5VqPWscOcKf6TsOPviL8xIBfixiFgD03KKjDxJ7yPllfNRoy7Le3yqNWnOEbfzv5YC\nsZQexndcHBz2xn/NRt9bsu4LVdDY5H8bkPlsTqeP0pNuxZxCzZrJks+m2bIn2tkCZxW289VKOZ+B\npu0MNG3POR5qO0SobTjcLxAQ+dSn/Dz8cJ480V3D4caFhSJen0BXp0VqsIem735u6Fz/4dHzVEez\nI58tjm1nSTGff248enY+Q8/O0aX3s6578hAV12TUUjtf/fmEr3Gp0dZm8q4HLq3cnldf0Ckplfjg\nR3w0LpP57MNhTp00efRvC/nrh0P82acLeORPQ3z6cwG++NkQn3o0wI9/EOedv+0hErJ59UWdD37E\nx/ZtaTZeq7L7zTSv/EbnXb/t4VSHxZvb8s9Ldr6h86WvFbF/T8YB2rhZo3GpzI++N7c5NJeN4xIK\ntREKZR4abSeGQ3T2vPmNrHbxWA9HDg0XVNJTIZoO/D8EQcS2hydR0UhXZufl7ORBT4Vob3vpvJES\ntLU8iyhKWNbcx7Pn01B3DDPvv7PajNBodywLrNmZPDZuKOS2D1RTu9SNyyuTjJl89zMnaNkzuYR7\n2atiJAzMZBpRlSjZuIDB/Zknn7c2QPvj++l58fiE+0wVrdiDPpjg1BOHUAMeCpaVDzkuo1FWs56C\nknokWcMydfpO70NzF2LbJgPdU9va19wB9OTFFeMqCfkdF3uaSfcXEml7YqpS5yOoMrUffSt2KnM/\n9/9yO3pPiIr33MCZH706ZVtMhn8flrlzi+8m7Sj74i+iT6Pux0RJWvNTzMwj5SqJAWzx3zcr15PF\nie/exa0QJ1MHaXCty3veJXppdG2gQVvDGaOdnnTrrOQeTdSm+bBnMmzdqlJSKrB0qcyxY5nflLo6\nmeUrJDrabZqbDQIBkXc/4EYQoKnJ5PXXdBwHGhtlqmsktr2uY5pQWyuxbJnM7t0GoZBNRYWEIMCK\nFTJtbcP1Qka2q2+Q8fsECgMi29/QaWiQ6eiw0HWHkhIRRRXo6Z65Z62vahGy20f/wdcuOEGWK0yf\ngX6L//rXGL//v/3UL5I52mzQcdLine/x8sZrw3NOywLbzsxTz1+Ic3sEUkmHRMzG58uc8fhFEomJ\nP3NTKQefP/+zeza5bByXyXC+gwKZpDhnRAGx80PMRsNxLKxZmvRf7Gy4o4T3/uVigj06+18IEg+b\neAMyH/nKMn74+RPseX7iD71ISx/x9kE2fulezIRB8MBwqIegSNS/ax0L7lmNpEmcevIwnU83j9ln\nLFZ8Yivuci9KgYv1j95FpLWf1u9nRBmWfeR6XBUF2JZFOpjk1NcOjDteX+c++jr3sfya93FsT8Zh\nLqtZhyRpFFUsJxnrIxXPvBeaqxBvoJpY8BRpPQYI+AO1KC4/8dBp9FQEWXVTWrOOeKSLUG8L4ODx\nZ2pdqO4A4f4WHNvKM9b8MlLS9hzTkSKWBAmPWIhXCuAR/CiihiyoKIKGJChISIjC2f+QkARp1J2f\nmcCawmsRzjp0nf86vMrqW1NPdN/0dm7OrYr7pADiiNecdnT2xX8zZkHBmcRi9ncM8qEJc1vMU2Zy\n+VrtehMiEnWu1aO2kQSFarWRarWRuBWm2zjBmfTJSclsT9am0Zyp+bBnomy5XuNrX41z2+0ax46Z\n+P0in/xzH9/9ToKqKpHmZnC5BHw+gWDQJnleXY2rNypEIw6OA0uXyjz4AS+/eiLJo39VwGc+Heaa\nTQp33Oni+99L8H8e9vHJT4apqZZy2r3//R527UpTUSFS4HdhWg7Llsv86okUH3jIw+OPT35hYzQE\nQaRs3c04ts3gkbGLH5+P6HZR9bk/m/b1ux/9MnZy5l7PFbK5YavGDTe7SKUc/H6R1pbMfPSJnyf4\n5ndKeP/9Yxfy/tifFlBSKtLaYtB7xuJPHy7gmi0aHo/Aof1pqqol7vktDwvrZX7vD/389IdxVE3g\n3vuHjz3+4wSHD6S55z43f/GXhXz9HyJZ981scsVxucK8cPtDNTRvC/HtR45x/mKQv0jh9odqchwX\nK2Xw6oPfyz+YA01feSnvKdkls/1jGYUtSZPZ/I130/l085h9kj1h3vz4sCpXqLmHfZ99GoDmr+bv\nA3BglGT7tseGi8+dG2fvo2OHDhZXrqC7bRsNq+7m2J4fIytuapfeQv/pfTSsfjsnDvwc27Zw+8pI\np6MsvurdNL3xn0iiim2bWQXVFq97J32nd2Omk+A4aO5AzlimMX8TC1lQ8ibhOziT3qXQRA9lykLK\n5Vr8cmneSujzhcnUdo8ESUTyZMIYraSOFUtR/p4baP/i1JXjLMdEEz2s8WzNOacKGkVy5YTyMWaC\n6UpZTxVFHD8PZkaZwlexTT9I0OplqXtjTnHLkXilQhqlDSzS1tFrtNORPkLCmnm5+H3xFy4oe8aj\nsFCkvk5i5SqZ669X+ZdvxonFbIKDNlu2qDz2WMZB7+mx6OiwOHPGZvfu4RXrx3407MDffLPGT36c\n4MB+g4YGifXrM7tozz+XYueONNduVqkol/K2kxV49pkUjY0K11yj8NhjSf727wp45ukUtbUyba3T\nvA8Egcqrb8e2TLxVi/CU1dK794W8IgNXuLh57SWdHdsyNWR0fdhZsB3Y/rpOLJaZVH3h0UzkxRc/\nm7nvWo5m5gWqmiKdzvSLRW0+90gITROGxurusvj3b0T5929kf3fyHfviZ8PTjVyeNFcclyvMC0VV\nGk/96ylG7mDveLKPBz/fOGPXsdPDO16+hhLSoblZRZ4uA92HCA+0UVC6CNVVQGFJPbLsoqh8OZLq\nweOvIhJsx3YsvAVVyHJGJEJPhUnGeokMnhway0zH6Tk5vOpWVL4kd6zz2s81Xqkw7/FMHsbEQhw0\n0UODtpYKtf6CclZmArW6mLL7rwOg9yevk2zrwTGnN8kREFjr2TpqzZCl7mtI2rFZqdcyEtuZn11p\ncQ6FH6ZDyDzDzujTVGuLWaiuGvUzO4coSFSqi6hUF9FrdNCUeP2CsqctdYCkPXeT6Zu3qjz9dIpj\nxyxaWiwaG2VaWkz+6tEIixfL/N0XC/jQBzNqebYN4hibrrG4g8+baeD3iSSSFsUIQ5NAyKSf5WsH\n50VdC2AYDidPWrzntz289tr0F44EBArrVyO5vBiJCGd2P0//oTemPe7FgCZ6uK74/qxj52T2Y9Yg\nPalWzuhzsxAzGprkxbT1GVuoOf87B3DbnS5uvNXFtyag+DWyL2Q7QJNlLp0WuOK4XGGeGDidQvPk\nThy8hTKDXTO3+i8XuNnwd/eADbZhc+Sf8xcSvdDICkUUBCzTYKD7MP1dw+FnZTXrkRSVzpZX8Bed\nr3KT/eQdGdaYb6z5xJunSjhAbIIJ2xVqPctcm3JqZ0wUyzGxMLEdE5fom9IYs4l+qp+e7704o2Pm\nU706HxGJVZ4b2B17bk7yXOaDfA6ujUVfemYLjp4jbk9dStrBplM/Trd+gnK1nlp1WU4l+3yUKwtJ\naGHa9aYpyU3Phj2lSg0dqaYZt2k0brxR46//OkI85iAIcOttGomkw0MPeYhGHdpPDjvOTU0mn/iE\nl7VrFf7567khtL96IsXDj/jZcp2KxyOwf1+c2trcMNd87d55f267n/88yXe+U8T975x+PpDj2Bz9\n6T9Ne5yLGduxCZoZAR5ZUHCJfoqVaoqVakrUBTRF5+f5LwoimwP30hx7jT59euIfo/Gb51L85rnL\nIzzvsnJcJNVF480fQPMX033oRfqO5VcBGQ9R1ihbspGC6mVo/lIkWcM205h6nNZXvo8ev7gSo+eD\nZ//zNHd+sJZTTTF6O4ZvtlsfrObZ/5i5icPhL/9mxsaaTwZ6DrNozTvwFdYgyDLth59GTwSpXnwD\niuZHlIcTfyvrrsEfqOXUsfyvPd9YE8nZmi0CUkXe4xOtGZJPEet8ItYAEbOfhB0haccwnBSGo2M6\nRs7q102FD1zwK/Hl77oOtaqY8nddR/DX+zFC03MsItYAOA4FcmnWcVVwscZzE3vjv8aaA+WquSav\nBLcDzcnR1aPmGxubnnQrPelWCuUyqpTFlCkLkITRH+X1rjUE5AoOJV6ZcQWyqdgjIs2qTSP58z8b\nDk/buyfN3rOKSF/6+yiKIpBMDi8XHz1i8ImPjx7OFo3aPPJwOCus5ldPDD+/vn6eszOy3aOfycgb\nHz1qcPRsyI5jw+uvpYnF5njJ+hLFcHQOhF/IOlapNbDcfz0VWh196YWz5jiMRYFSjjTFhbUr5HJZ\nOS6eoircgcwkqWjB6ik5LpKqseSWD+EqyH7In9NkN9NzE4rkEr1IyMTticUMiyL84Nul/PO/Rtm5\nK42eZ6twLlm2OYA3oPDn319LNGiSCBt4CmRkVeDGByq59cHqrPXQL3/g4LzZOhcc2TksN93XOVxh\n+9TRYeejZd/PECUl42Q4DpFgO7E9nZlQm/P2ao/uHpa4Bji66wdZf9uWkTPWfCEiUiRX5j0XtMZW\nZIPRdw4MJ81pvZnudCvpPHK5Fwu2nubUV5/IOtb70230/nRmJteWY7I39jyKoLLBd2fOjpNPCrDC\nvYXDiVeH5JMvFfJNmEVBQhLkecu7mQxhs4+w2UdLajflaj3VSuOoux4BuZxVnhs4EH9p1j7Hydhz\nvk374zO7mzhRTJO8RfsMY/z3Z6JhNWO1u/MtGrfe6uKrX51/cZRLmR69jQKlnBrXUkrV2nlxXIqV\n6jm/5qXMBeu4LLj6bZQsuhqA5me/iR4ZWyVhIiSC3STDvajeAANte8bvkIfy5TcOOS2x/g76W3Zi\nJKNIsoLs9mPNUZKz41hUqUtxiz4GrC56jVM5BeXOZ/1albWrFf7t68Ukkw7/+d9xvvnv85e05yuS\n6Wgacf3pqRFfFthW9mQr306JY08sZ2DkWPNBiVKTt+aG5ZhEJpBfscy9KedYxBrgUPyVi9phmQsG\nzW6OJXdmRBAcnYOJV7jKe0dO4cNSpYYG1zpaU/vmydLZQbcT+KSinOOK4MJyLp7JpOkYdOnH6dKP\nUyRXUqetyuvQF8mVVGtL6NSPXRD2nLPpcuW5Z3Wee/ZKHa+5IGIMUOPK5MKMxCX52FDwFhTRjeno\nBI0ztCcPEDfzR87IgsoC9yrKtYW4RB8WJlGzn47kYYLpnqF2JWoNte7leKWioTyw1f6bYYQK+0v9\n/y8rZNIjFbK56B20xvfSnjxEtWspjd6N2FgkrBBHY28SN0MIiGwpfieq6OKN4OPoVu7Ou4DAluL7\nx2xzMXLBOi6zgZVOcfS5b01rjEDtCgDMdIrWV3+Ibc7PD4/upGjR9yIgUqsuYZP3rQya3ZxMHyaV\nJyZ98zXDCjput8CprvldUfzOw8fHb3SFS54F6vK8x/uN09jjxL8H5HLcYvZTIO2kOBR/eUoyygLi\nBR8mNpO0pPZm/VbErTBNyddZ47k5J/9jobaChB2eM6WxuSA5SmFNv1Q060U3Z4ug2UPQ7KFEqWGZ\n6xrUEYnzdepKuvSWOcktmYg9kLnv5sqeK1yeKGdrKI3cZS1UylhbcBsJK0Io3YsmeSjXFlKmLuBw\n7GX69eywdU10s77wTjxSAUkryoBxGkV0UaRUUaxUczT2Jl2pzMKAjU3UDBI1g5QqNXjlAH3pUySs\nyAjr8u/KqZKbRu9GalzL6Et34JYKKJDLMM7K1DvYdKdaqPesoVprpC2xP2eMIrUKTXQzaHRdMk4L\nXGaOy3QRRAnNm1mhi/d3zJvTAiAhUaYspFSuIW5H2JP4NQ4Ojep6Dqdyw0jWrT6v8rzp8OsXLpzV\n6JJqDW9AIR4yGJjBxPwrXNiUKrU5eRXn6DZOjN9frs05dko/MuXaL+okCgReqgwa3ZxI7aXRtSHn\n3Fwqjc0FsVGS5f1SCX3GqTm2ZmYZMDrZbQ2ywXsHmugdOq6KbgrlUkJm7wVhDzAv9lzh8qJMy4jX\nhI3h75kkyKzy34wsKOwOPTV0vFApY13B7azw3cgO45fodmLo3DL/dXikAtoTh2hL7BsKu/TLJVxV\n+BaW+jYRNLpJWlGC6W6C6YxQgOb34JUDnNFbJxyqVqbWYTkGb4Z+SepskV5N9JC2h59vXfpx6jyr\nqdIaOZk4kBMGWqEtAqA7Nf7z9GLiiuMyCSRleGJjpuZ3Rc4t+XGwaEpuy1qZ7rfyJ7bX1Q1/1Hv2\nGlkJifPF8s0B7v3jhZTWDKut/Penj3Po1cmp7xTeczu+m6+dafMmhZMpT4tj2WBaOLqOnUxhp3Ts\nRAo7EsGKxrDCMazBEObAIFbk4lzVnQkUQWOJ6+q85yLWwIQmMu48CmD9xtSFHdzj1KW4XDitH8Uj\nFFCtZcuSX2pKY8FRvmPFchWtXPxhcbqd5HhqD6s9N2Yd90nF8+IoXGj2XOHSRhJkvFIhte4VFMpl\n6HYyawJfptahiW5609mORNjo41SymXrPGmrdyzkRz6QVeOUAJUo1SSua5bQARM0BevQT1LiWUqkt\npi0x/d8PTXSzN/LakNMCZDlRALoVZyDdSalaS7Faw8B5ioiSoFCmLsSwdfrTF/dCzEiuOC6TQJTO\nL1g2vxP/uBUhboVzPOwzRn5vvrR4WCK36cj85zYsuqqA3/37JXQ0xXjj8V5iQQNfscL7/2YJ//nn\nRzm6Y+4LlU0HQZJAkhhKD/B5xg06ctJpEvsOY3aewejqIX16+vU5LgZERFZ5rs8bbwzQlpqYTHO+\nsJPpTKiLpMs33n4kx1O7cUt+iuRsxbdLSWlMt+PErFBOArlPClAglWTU1i5yBoyunGMqc1x48zwG\njC5sbMTzJNvn054rXFpooptbSh/MOZ60YhyKvpSVB1ykZn7bBvXc5NpB4zT1rKFIqRpufzYfK2ic\nyStwETMzC65+pWR6L+IspmMQOi9nZjQ6U0cpVWupdi3JclzK1AVIgkS3fnzeamXNFpe04yIIIuve\n9Zm85wZad3Nq99jVyyuWX4evYjGK24/i9iPJwz+wJYuuHhIPOJ99P/ncqOMpmpeSJZsorGxE9RUh\nyipGKk5ysJNg+wFCnUeZqENUIlchCwo9xskJtXe5h2PWO07P/+T4LR+soen1EP/96excl/o1fm5/\nqPqic1ymgqCqeDddNfS3Y5oYp7pIt3aQamkn3daR2cm5xFjtvYmAnF8CudfoIGiO/2OdITsPwzn7\nv6kgIFKh1k+p76WIg83hxGts8N2RUyE9ozR2LYcSr86TdTNHj9FKo5QbFrdQW3lJvL58uSN5ZaDn\nCAcb27EQhWHHZT7tucKlxfl1XGzHQrcThI1e+vRTOffCuYWzlJO72JWyElltADQp8+9qVyPVrtGL\nZMt5xGamwvk7LWMxmO4iacUoUWvQRM/Qrkyl61yYWMuM2HMhcUk7LgCpSB+S6kHW3AjCGCVx8+At\nX4S/vGFG7AjUrmDBNfciydlfatXtR61ZTmHNciJnWmnf/lOs9Pj5Jyk7Pm4RufPRUw4eT2ail7gA\nwsQWLvfygy+05hzf+3w//+szi+fBovlHkGXUhoWoDQvx3XYDdkpHP9ZGqukoqUPHsPWLP/+nUC6l\nWK7Key5tJ2lJ7prwWOaIXBYBAVV052ynT4RqrRHXiNj7yx3TSXMw/gobfHfmKL+VKrUscq2/6JXG\netJt1Gtr8iip1VKh1nEm3T5Pls0M+ara687cSPbnQxPdOe/1fNpzhUuLfHVcxiNfIdqx2kXNQeJj\n1BhLTtDhGI/JLMJ1pY6x2LuBKlcm10UTPQSUSqLm4NBO0KXEJe24OI7NkWf/ZehvzRtgxd0fn3D/\nju0/RRCH3yJJc7P8zo8CMNh+gO4Dv57QOIVVS6i/9t0ggJGM0X9iB3qkH8tMo3oDFDdchbe4hoKK\nRdRveYDWV76P44yvslKtLKZUrh3aBjyQfHnUtoODNp6zleoLfJNz4GYD03JQlNwfDEUVsez5d6wu\nBESXhnvtctxrl+OYBqnDLST2HCR1pAXsi0uFp0AqoVZbRrlSl/e85ZgcTLwyqcT6hBXNkVMtlivp\nTuc6xGNRKJex2LV+Un0uF5J2lMOJ11jn3YpA9u/GpaA0ZjppOvTDLMrz+S91bSJt65PYAcyPLKhj\nStVPt/1YVCtLc47FrMFJjzNTNs2UPVe4wnRJnV3g0oR8EsmZY+cvgp37d9Qc4GhsasXLZ4sevYUG\nz/qhJP1yrQ4B4ZLcbYFL3HEZiWVO7ofXHLHzcb4z4VgGxgQS9EVZY8Gm+0DI1JFpeem/sUfYMdC6\nh4Wb7qW4bh3+8noCdasJnhw7zj9mh9gRf3rCr+V4q0FtbcZxKSmZf8elbX+U6++v4OArQQx9+H29\n/v4KTuyZv/oyFyqCrOBetwL3uhVY4QiJN/YQ37EXK3rhJUmLgoRL8OKVCimQSilRqnPCjc7HckwO\nJV4lOskJTMjqoYYlWccWaivpM05PeJJVqtSy3H3tZSWDPFlC5hmOJXflrZmTURqLEjanX2drvjil\nH6VMqcM/oqaLJMis8d5MW+oAnfqxSYU0SYJCiVxFhdKAR/LzZvRXE+672nMjDg49Riv9ximsKcan\nV6j1LHStyDqWtKNEx1gtnohNZ9InZ8weYEr2zBWiKFPgriQUn7roxxUuTILpbqq0xZRoNXTr2RP8\nYiWjWBk0hhctBo1MCFqRUjlpCW/n7D08W8+ZtK3Tm26nUmsgoJRTrjVgOza9+slZud58c1k5LvNB\nScM6ZDWzXX9q1xM5Tss5uvf/muK6dQAU168f13GBzCqYTwoQMnsRkcZ8sG7bnuaWmzLqXRvWz7/s\n6zP/fpqPfXMFj/x4PUfeDBELmfiLZMrrXPzk75vn27wLGqmwAP9dW/HdfgOJXQeIvbgNczB/sazZ\nRBE0tvjvG/pbEAREpJxQkLFI20kOJV6dUiL0oNlD2tFRhfNqFIl+1nq3ciSxnYQ9Ui9/GJ9UxEJt\nRc4OkOkYk7L/cqE7fQKvWEittizreEZp7MaLWmnMwaYp8TpX+e7I+i5BRkhisWs9teoSetInCVrd\nRK0gljOcJygLCm7Rh0cqwCMEKJLL8cvFQztU+epqjUeRXEGRXIHt2kTI6mXQ7CFi9hG3w1nXHokk\nyATkcqqVJZTkqdbdoTdN2paRNlUo9TNmz1wjCCI3rfljjnQ8zZnQ8HOmIrCC5QvfyisHv5K1QCkg\nTDuxWZE0bMfGsi9uMYtLjV69nXrPOsrUhVnHC5RSat0rsByLztTRoeNxM0R/+jSlai1LfNdwIr47\n67svCiLFag3hdC/GiMiBpJVZjC1Wqzmjz84OdXfqGJVaA5VaIwVyCWf0kzl2XCpccVxmmYKqzNa4\nkYqTDI0ecmDocYxUHMXlxVtcM+64muBiqWsTiqCyx/w1S11XczS1c9S4yGeeT/LJj/txuQTWr1UI\nBERCofkLN+pqSfD1P2jmrb9fy9qtRaguCT1p8bXfP0xvx4VTY+ZCRpBlvNduwLtpPYk9B4k8+wpW\naO5EDQSEvDH0E6XPOM3x5I4p112xHJNTenNOmFeBVMIm/9sImb1ErAHSTgpwUFBxiV4K5TJceaSU\nT+lHSDnxUWWaL3dOpPbiFv05E9BLQWksaUc5FH+Ztd5b8jqumuilzrWKOlYBmcRf0zEQhck56pNF\nFCSK5aqsvLCUHUO3k5iOcdYGEUmQcYle3KIvJ6TvHEGzZ9JhlPmYKXvO2TRVlMoyBHHsFWwrnsAK\nj76AMR6WbRBJdE+5P0BjzW30hY/RH740w3YuVhxsDkdfYl3BHVwduJukFUET3RQqGeGYpuhrOQny\nR2LbWFtwOzWupZSpC4lZg5iOgSZ68EoBZEHhjeDjGFb2M61HP8FCz2oqtUV4pQBxK4wkyMiCwr7w\n8zPyekJGLzEzOFy7Rb90i3xfcVxmGXdR5iGvuLysf/ejE+ojSgqirI66OwNQIJdxyjhKmZRxcizH\nRBSkUVe/BgZtvvuDBB/+oBdVEfjggz7+8etT/0GfCXpaE3z74UyVWVkVMdMXV97GBYMo4tm4Dvf6\nlcRf2Un46cklJ841EWuAttSBaecOQKbmyGj5KQG5fMICFl3pFk6k9mZC2lzjt78ccXBoTm7jQFh2\nmQAAIABJREFUKvEOvFJh1rlLQWksYg2wL/5rVntuzOvYno8oSKjC/IQXukTfuPaNJGT2cjjx2gVj\nD0zPJtHrofxPPwzC2InV8W27CD3+zJSuMRMICBR5F9IXPjZvNlxhdGJmiF2hJ7m68K34tWIMW6cv\n3UFH4hBRMzd02bB19oafoVpbSrmrngK5HBGRtJ0kbPbRp3eQziMOo9tJ9oafZZH3KnxSMT65CMPW\nJx0ePR5dqeMs9W0iZcUJTkBK+WLliuMyiwiCiKxmZkHJYDen9048J8WxxpYs7jNO4RK9JMQolUoD\nrfp+rHFisL/yjQh33OqioV7i9x7y8s57PfzRJwfZu39mEkEnw90fWUBXS4J9v8mECF1xWqaPICv4\nbr0O363XkWo+TuhnT2GF5zZfyHIsbCxMR0e3EyTtGFE7SNQcIGYFpyxXPBoONi+Ff8gCbTkLtBWo\nwsS9jpDZS2tqX1aY2ljhZVfIhNLtjD1FoVzGOu8tWTHbpUotWwvfy0vhH86jhdMjZoXYHn0CyDhj\nC9SVlKm1k45NTzspBo0ueoxWQmbfpPoeTLxMhVpPldKYk3czGSzHpN/opDm5bcpjzKRN5+w5lW4i\nZk0vtLXg7lvHdVrGQpHduNTCrL/zIYkKAd8CBiLZO1UBXy1rGu6nqf0J4vogmuQm4F9IZ/9eTCs9\n1FcUJRTFgyjISGImRNuyM+erS9bTUHkDLZ2/IZrsocBTxeLq22jreZWugYxanyxpXL/qY0QT3ZwJ\nHSEYbUeVPTjYhOOZGj0bGt/Lnpbhe25x9VaKfHXsOvbfU35/LjZ0O8GL/d+bct9twZ9NuL3tWJxO\nNXM6NbmQ9pgZnJDiWcIKT/m11LiWYjsOe8LPoLkKWbT+Xo7tegzL1BElBdsy0DxFWGYKM51R83N5\nS/AWVpFKDBAPdePylSLLLtLJMJ7CSsL9rTi2heYpwlNQSXTwZE7fga5DU7J3qlxxXGYRx7GxDB1J\n0RBkhfjAzCb4mU76bMVhAZfoJ26P/zD4nQ/285UvFbFpo0pxkcB3/72Eb38vznd/GKe/f+709De/\no4znvp1bHO0KM4NrxRLK/+TDBH/yK1KHj47fYRx2RMeueTTfnNKP0Kkfp0xdQEAqxy+VoIouZEFF\nIONQpe0kCTtKxOqn3+wkYeUPq5upiff26P/MyDjTpTt9gu70ifEbToKw2ccr4R9Pqk/a0WfFqTkQ\nf2nGx4SME9Oc3MbxlEKxXE2hVIpPCuASfciCiihI2I5N2kmQshMkrAgJJ0zI7CM+jYm55Zh06S10\n6S2ogkahXI5PLD4beuVFFd2ZiTDSkA0WBpZjkLRjxKwQMWuQAbN7xkL3zrepTFkw7/a4lk6vTMHi\n6q0srt46brvRFlokUQHHIW0kSOkhUoQIjwgps2xjqL/tmEMOyznqy6/lVN/OoVybhB7EpQWoK988\n5LicIxjroLN/79l22av0nf37kEQVy04jCCIVgeWc6pu4rPx8EXBVsjBwNT61FEVyYVgpEukg3bFm\nzsQu3TCn2WKBewVeOUB3qgXdTlBefjV9p/djmZmwNdsy8BRUUrloC5Kk0rr/FwiCQN3Kt9Ddug3V\nFSBON1WLriM6cJK6VW9lsKcZSXGRjPZRuWgLA6f307DmHTl955orjssskwz14Cury3ixmgdTn3yN\niXx4xAKWahuJ2MOrxa36+A/LUNjmQ384wIce8vFHH/EjSfB7D3n5wPs8vLkzzb79Bi2tBpGIQzzh\n4ExjgfxQ0+g7OaoqMnD6Si7LbCJ63ZQ89G7ib+wm/D/P4ZiXdqE3G4sz6ZOc4eR8m3KFaeCrX0r1\n3e8d+rv72Z8QPTH1pPLpYjoGvUY7vcbc13QpvqaU6//yhqxj27/4Op2vd8zK9Ra/bSlrPrSe/d/a\nRdtz+fNh+oxT9HFqVq4/EeSyEqRA4fgNx+DoqWc4Ezoy9HdFYDnLFtw14f6DkZP0BA9zVeNvE02e\noXvwEL2hZmx7YsWdVdmNoniIJrPDeSKJburKr0VTfOhGLOv4aPSFj1FRtJLuwYMUFzQgS256Qxe2\nwE3AVc36qnuJ6L2cCu/Dcgw0yUeRewGqlCtPfIX8rPRnfhtckp9CuZSUFedEYg8AoqRipLPnm4GK\npfS278IXqMZftIBQ3wnS6TgFZYvpPbkTAEEUGeg6REHpIsJ9LRSUNKBVFNHbvotY8BRuf1lO38jA\nyTl93Vccl1km0nUMX1kdCFC6aCM9za/MyLhesYB24zBB88yE+9xxm4ur12tUV4lUVWaHPiiywA1b\nNG7Yoo3Se/KsvHr0H9tTR+OULXBx5MKSQ78k8W65GqW6gsHv/hQrMjPFsS5ntNJK6h74SNYxx7Qw\nExESp9sI7ttGOjR5lbQrZEj2nKbr6R8ju934l66d1ljl6yppvHcZxctKkD0yyf4EL/zxcxjxuQ+P\nnQrBo/288Xevovk1Fmytp2z1xIsOBxoC3Pa1t/Kzt09ul8s2bCzjwq2l5Voy/aLQjuNklzeY5Aqd\ng8Pxzt/Q0beDyqJVNFRsYWH5New78SPSxviLk4J4TtAhO9zt3F8jFcjGUjazHYuqknV0Dx6kIrCS\nYKwd3biwFf4q/csw7TT7un+R9dragjvm0aqLD7dUiFcqxHIMzujtnEjsxrAzOyyJSDfFlSsJ9gw7\nsbapI8saoqydLQ/i0Lb/l7j95Sy+6p00v/EdIBMtdP79ca4fkLfvXHPFcZll+lv3ULb8ehTNQ8Wq\nm0iGzxDuGj10x11UhZEIYeqjVxOuUBYiIlMtL0YTPDhnc1vOGGOvwn31S1OPl55pfvn1Dn7n0cUc\n3RGit/3Kzstso9bVUvaJDzH4X4+R7rx0k/bmEjMeI3E6E4IluX1oZVUUrtxAwdK1nP6f75HsmZ1V\n8UsdK5Ug1pZ52CqB0imPs/htS1n/BxmFuNDJEKmWJIGGIm79xzt56VO/Rg9d+L87elina1smxNhf\nWzApx6X8qqrxG43gxJPHOPHkhZ1Irk0zTGwm0dNR2s9s53Tfbq5Z9hAVgZVZYVrnJn+CII7oF8Ew\nExR4/j977x3exnXl/X9mBsCgAwTYOymq994syZJsObbjmjhO1nESJ5u6Lb9ks/vuL292N8lmN7tp\nm2yS3RQnG9uJ4xo77nbcJFvF6pUqFHtvAIg+GMy8f0AiBYEUQYmUSFuf5/FjYebeOwNiyj33nPM9\nhfiCjYPbHdYi4okganJsSot2cx4uWwleZzUnWq6cGEG2pIwVfdScx/mFN5JQY/RFm6jKWYnF6CSW\nCLKr9XeDbSTRRKlzHnm2aizGHERBIKIEaAkcoDOUPtcSEChxzaPQPhuryQ3oxBPhtPFkg41qzyq8\nlgok0Ugo3kejfzd9kcvvcR2Nvf6RQ7gH+hpx58+gZskHSaoKfW2H6G09SMW8m9FUhXZfC7LVTVH1\nWpJqjFh45MW2s/2cudVIBjmjb8vxVyfi643IlDBcckrnosZHXkEI97VeUGoYUg8OyTjkTRAkw6jK\nXeOBpsZp3vkE1evvQRBEqtbeTbC7nmDHaZRYEEEUMcp2zI5cbPkVyLYcjr/8Pxc0XAQkdHS61ObB\nz1ONmcud+LoUvvS/8+k8HWGgL32F6Vd/f/lfnsleX9oqw2gIAEYDgtGIYDIiGAyXlDA60UhOB97P\nf4z+3zxG/NTUrXY+WYj3ddH56lODnwWDkYL1N+GctYj89TfR9Oj/XMGze2/jKHGy4NOL0TWNnd9+\nm/Ydqcm/IInc+dTdLP7cUnZ+++0rfJYTS/6SsRsukx5RxDSt8vIdThAzjA6APPd0JFEmFO1G1RQc\nlnwMkpmokl5MU9c1ooqfAvdsQtEeQCd6JqS7qfsdKgvWEIsHziTnF1LiXcrpjtfHfJ59wdNMK96I\npqn0DoxvPttE0BOup8Qxj1l5GzndtwMlObKXymurwGkuoDmwj6SmUOSYQ46lFF80dU9ruorHUk5f\npIWQkgqTKnMtZlbeJsKJfoLxIXGMWXmbKLTPpCN0nGb/PjQ9iVMuGNxvlGSWFN+JrmvU9e9ATcbI\nt09nfsFNHOp8jv7o+C5Gubdcj3P16sHP4cNH6HvyyXEbv7n2ZQRBRBAltGRqjnV6/5AQQTzip+nY\ni4iiNFigvf5A6p3WcCiVoxkZ6BzsJ0oGtDPCUef2vdxMCcOlcO6GC+5vP/SnDMPFKNuYdu3HEI1m\nJKOMZEgvuuipWIinYiGqEiWpxgl3NdK8Z2KSaYPdDZx+80EqVn4Ao8WOI78aR371iO1Hmzx3JhrO\naOMPrVhIU6xo3sLNXgC6GqMIkoAr/8oXxez+8a/RwpeWgyQYDQgmEwa3E9HtwuB2IuW4kNwujAVe\nDAV5V9S4EWUT3k9+GN/DTxE9NHnioCsrDHzly3YWLjRhMgi0dyT59W/CPP3MyAb8udhsAv/nK06+\n9s+Xr47N+ehqgu5tL2CfNhc5twCDzYEaHlJ1M9pdeJevx1o+HclsQ40ECTecoG/PmyRjmdfd2VyP\ntmd/S7SjmdyVm7BPm4OuaQRPHqZ3V+Yqlzm/mJzFazHnl2Cw2knGY6ihAOGmUwSO7EaNZi4AFd94\nN5aiCkSjicSAj4ETh/Ad3JGhbOicuYDCzXfQ/OT9SCYznqXrkXMLAAGlv4u+PVsJN6Un1ZpcOThm\nLMRWMR2jMwfRKKNGgkRb6+l95w3U8MSouFXfXIMoiZx+9uSg0QKgJzVi/VFK1pZjKzxIuDMzdLJs\nfQUVW6bhrs7BaDWgBBVC7UFatjZR/1xm0nC27cs3VrH8S6s49vARan93OGOcmx+8A6PdyFN3jE30\n4PxzqbqxBldVDiZb6p3wgWeG8oWOP3qUow+mFzfOme5h0/dvSNu2/793U//8yHVHcqZ7mHHnbDwz\nvcg5ZhKhBNGeMB172ql/vm7Qm2Wym7jl4Q+w41vbcFW6mfGBWYTaQuz69ttIZonlf7uGjnfaOPrA\nway+n1xejGgev3DmkagqXEtp7lJEMTVF0nWNcLyPvSdTak+alqQ8fzFmoxtREIglBmjofJveQKbR\ncKLlRWqKN7Fs+r2oyRg7an8OQFvvPnQ9SUXhGsxGx5kxttHZP3aFprbeAyys/iAdfYeyzrO5kvii\nrdT2vs507zXk22roizTRETxOX6Qxo61JtLK/4ykiSsrg6w03sqjo1kHDRdc19nc8ldZnIN7DmrJ7\ncZuLBw0Xp1xAoX0mjf69NPh2DbbtjQwt4pU6FyFLNna1Pkw0ERjcby/9MFU5K7I2XCSrFce6a7DM\nmInB5USLxVB7egjt20/48NC9H3x7O9FjtUguF7kf/EBWY48VXdfQkyPPKXUtSVLLLv9VO++dMJa+\n48mUMFwuBkGUMDvzRm1nMFkwmCwkHBMbRhXqaaL2hR/hqVyEs2gGFnchBnMqCS0RCxMP9hLuacLX\neoz4QO+o47kMeZgFK52J1E03XV7M8diF40MPHZk8xeF+cN/llc+7XOgJFT2hooQjMExIlijLGMuK\nMJUXYywrxjJv1mU/R8Eg4bnnDvph0hgv3/6Wi917Ff75G30IAsyaaaCvP3vv14plJgoLRy50d7nQ\nEgqJQD9ybgGS1T5ouMg5eZTe/gkks4VwSz1q0IfJW4h7wQpsFTU0P3H/sMYLgNHuxHvbx5BkC+Gm\nU1iKKlLevfOwllZR8v570VWFcFMdyVgEyWbHUlCGZ8k6/Icznw/2qtlYS6cRbjxJMhbBXFBM7qpN\n2CpqaH3mQXQ1cxKUs3A1jurZRDtbGDh+EKMzB1vFNEpu/gitf3yQSOvQRMC9YDXu+cuJ93YSbq5D\nVxWsxZU4Zy/GUlJJ4+9/OuwxLpWCM96GptcbM/a172yl+qbpFK0soe7pc0JJBFj+5TWUb6hACSfo\n3tdOPBDHkmclb34BvUeGkTUWYMVX1mTffoJRgnG69nbQtbeDmjtmYXbKHPnNkFHQV5v5bgm1Btnx\nrW3IThNFq0opWn7hAsj5Cwu55hsbUGNJOve2owTimL0WvDNzmXXX3GGNu8ot07B4LXTv76J4dSkL\nPrMES56VYLOfWXfNoe9IN537Ri/0KF9ifouua7x56PsZ27v8tYPqXgANnW/T0DmyR65voD5DInkk\nAuF29p56aNh97X0Hae8b2WhTk/Fhz/d8tDOKZV2+o1md02SgM1hLb/g0BY6ZFNtns6DgJgbi3Rzp\nfom4OrTgo2iRQaMFUsu1dvnCc7u4GiSJikEcksf3WEoB6AiOLPThsZQRUvoGjZazBGIdFDvmIgoG\ntBFq5Z1L4ec/h2S3E6uvJ3ryBJLdjmVaDeZp1WmGSzIcJhkOI/aOPue7yhCT1nBp2fscLXsvXoJV\niQ5w4LFvjOMZgRqPXNKYWlKl9/Qeek9fulShESNJhm4gHR0RCe0CtVw+/PGrN8eVRovHidc1Eq9r\nBECursAyfybmeTMvWSlnTIhiynjRdKJHjo/efoIpKZX49nfi9JyR5O7uSb+O162V+fxn7VRWGkgo\nOtvejvONfxlASej86uceZsw0YDYLvP5yKgfgwd+F+dX/hkftC7D3nQL+79cC/PVfOHC7RW7/YC9d\n3Re/iiSaUzUhdGUoh6LwujuQLBbanv0d4eahlWzvio14l60nb/V1dL4+vMfXs3Iz4YbjdL35HJzx\nxorGTA+la95yBFGg+Y+/Id597iRQwOT2ZBhGksVG4ebbaH7sZ2liAmfPKXfFJnq2v5xxHMe0OXS/\n/RL+g0PKGu55y8lffxM5i9amGS79e7fiP/wOin/o2SOIEqW3fRxLURn2ihnjrhgmGSXsRQ50TSfQ\n4MvY729ITYJcle607dU3Tad8QwX9J/t4+5/fRAkO5RlIJgnRkGkYV980fUztJ5qu/Z107U8tmFRc\nV4XZKXPi8Qv/fRPRBO07U6vXRrs8quFSfVMNgiiy9auv4K87R5pXAEexk3ggMz/DOzuXFz/5RxLR\nBBu/t4Wi5cWcfvYkB362l9J1FeQuKLgshsu7lTz3LMLxvgxJ5smOqim0BQ7TFjiMx1LO3IIbmJW7\ngYOdzw62Ob8KPXCOHHnqOV3knE2BtQarKQeDKCMK0pmolHP6SCkjJp4cOe3AJJkxG5xsrPrCsPsN\noglllBp7gigi2ez0Pv4EkaNDhqRgMiEap1ZkzGRl0houV7kwvmQ388xrsQh2JMGIiHhBo+Uqk5N4\nfRPx+iZ4+mVM5cVYly/Cumw+guEyPOBEkZx77kD7xe9S53AFee75GP/0VSff+2GQHTvjJM+7lFvb\nkvzbvwepPaHg9Ug88GsP77vBzB+fjfLJz/TzkbutbNoo8+nPZU5UL9QXQBQE7r7Lyj2f6CMS0fnK\nlx1881sXF8Ik5xdhtDtQI2GUQGqCbCmuRM4rIlhfm2a0APj2v41n0Roc0+fTtfU59PO/OCAIQsqA\nOFflJZGZmyecDUHMyHfVh1U5c85aiGiSM/b173kT1+wluOYuo2/Pm2hK+sQhEejHf3BX2rZA7T7y\n192InJeeV6FGQhBJD8fStSTBEwewFJVdUvL9SBgdJgRRIBaIoSUyvXYx35niaTnpRQen3zoTgD0/\n2JVmhAAklSRJJfO3mX7rTLZ/c1vW7d8NDF1n511oOgTbhr9vfHX9JKIpj7/vZB+eGV46drcN7rd4\nhy8AmXZc2YSx/MJG1YWY8Rf/RCKQej7EetrpeuMZtPjYkuDPxTVnCc7ZizGYLTT89scZ+yWzlZKb\nP0LzE/enbbeV1xDv7UzdG5eIJBoxGm0UexZwojVzkWEq0R9tpiN4jBLn3LTtBjFzkSahK4NGyzTP\nGspcC2jy7eW0bxdKMkxSS3BNxafS+iTPGEAmyUpcHf5vn9DiJJQe6vqGr02iaqNfL5aZMwnt359m\ntADoikJSmRpqhpOdq4bLFEXVFQ7HtuGUctF0lUByanlTDEaB9XcXMnuNG6c3NdE4l3+968AIPd+9\nKM3tKM3tDLz4BvY1S7GuWYZkt03oMQWDhOcTd9H709+Q6Lz8oS1n+ffvDPDBO6185UsObHYnjzwa\n4TcPRAa9Ig2NQ6tcXd1J9uxVKCvLLikwm76//k2Y/jOhadOqx/pYFJDMFqzFFeSu2QII9O/dylkL\nwlpcAUC0IzM+WksoJIIBTDleTC4v8f7ujDaxrrYM42E4gqeOYK+aRekt9+I7sIOB4/svODmyFFUM\nu13XNKLtTTimz8WcX5zmQQGItDVyvnWkJ5MkY9E0AZQLcfa8xAkw0CVT6rfVhzFaALREasIjyUPX\ngDnHjL3YwUDrAMHW7PKkzvbJtv27hZZtzRSvLuWab26i7qlaGl6uH1Wh7VwvTCKSuh9jfak+uqYj\nGUf3TsnVFQjSpSUCNzz0IxAECjfdimfJNfTuuHg1pMCxfUTbGym5+c+G3Z+MRTKMFgDX/OX0bX9l\nXAwXuyWf+VV30tKzm27/lfecXyoWozPDwyJLNqymHCJnhA8EBEKxoedkrrWCQKyDBv/uwW0OOR/h\nPKlpX6yNSqDoTJ7LcPRHWih2zSWc6CORvDjVQcusWYT2jG8BUMFoxLV2LZb58zC43WixGLH6egZe\ne52EzzfmtuX/9I90/fwX5Lz//RhyvYR27CS4Zw+5d38IY14ekSNH6H/u+czFiUnCVcNlCpPUVXzq\n1JS23fLJUjbeU0TLiTBNR6/WFjkXLRxh4JVtBN/YgW35Ihw3bEC0jr4iebGIFjPeT36Y7h/ef8ni\nBBeLrsNjT0R47IkISxab+Ie/d1BUZOAb/5KaFC5eZOJT91kpKJDQNCgqlHjsiezONZu+HZ1Dk1xj\nlk9FW/k0Znzhn9K/h6bTt2drWj6J0eEEIH/tDeSvTU+CPhfRNPykXw1lNzEO1h1FMsl4V11H7qpN\neFdsJNR4HN/+t4l1tWW0N1odI46lRlIx5kZ7ZvhiMjr8313X9fPLUoAg4qyZi61qJrInH9FsRTSa\nEIfJ0RkvkvHUxFgYYTIsGqUz7YY8ImZvKt8w0p19/Yuzfd5rtG5rwmg1MPdjC5l770Lm3DOf9p1t\nnHiiFt/J4SVVtTTvU2oylOaRykKwxDxeMsi6TqStEVvFjKGxC0vJW30dotFEMh6j+41nUM54Zyo/\n8oVUEnI8RseLj42Yi3YuzpkLcM1ZgtHpof43QzkqJrcHa0kVxuvvRFNVgscP4D+2D+fMBVjLauj8\nU0pRSpLNVNzzVzQ88IML5oAFwm28deS/LvYvccVYXHQbMTVIUOlBUaMYJBNeawW5lipO9b+V1jah\nKywouJkm/14SyRhFztk0BfYN7g8l+vBYKiiw1xBLBLGaPJQ6F5DQ0w0gf6yDnkgDlTkrMBls+KKt\n6LqOzZRDkz81XsvAfvLtNSwuup3WgUPEEiFMkhmHnI+qxWnw7WY0jAUFKB3jG7KX/9F7kMvLidTW\nEt67D9Fhx75wEZaaGrp+9WsSPalFR0GSsm7rufMOoseOIasJnBvWI0+rRunoQPUHsC9dSvTkSaIn\nM/PVJgNXDZcpitdQTBIVv5paeaiWF9AYP4JG9gnNV5JF13l56/Eunv7R5NNGnyzoCZXQ9j1EDh7D\nedNGbMsXTZgimZTjwnPPHfT+8mHQruw1tG+/wk//O8SXv5SaWMuywP/8OIdv/FuA555LrYJ999/T\n8xNGWhjKpi+AdhErS+fWcdGUOIq/j3DDCRIZhkbqNws1niRxgcKUZ42F89HH8Hv4j+1j4NQRnDMW\n4Jq7FEf1bBzVs+jfv53eHX9KH/cCNRTOrlYOV5hPz1JFRpAkSt7/UawllSi+XkKNJ1ADPpJKDDm3\nEM+Sa0Yf5CJQQgq6piM7ZESjmBEuZvakFgHOhozBObfVGC6D8b4VBenKi0tkS8NLp2l5s4nyTZVU\n3VBDyZoySlaXceLJWo78b6a3fDwWbscrv8VgteOomU/4TK0gwWCgYP1NtD79AMl4DEfNHPLW3UTb\ns78FoPHh/wZ0cldvxjlrIb4DO0Y9xsCJQ0Ra6im/6zNp2xV/P4lAP52vPEncNxQlEaw7hnflJkRZ\nRovHsVfPIdJwfEKEKyYDfdEW8m3T8Forz+SNRIkoPg51PZdRLyWq+GkdOEilezkWo5NoYmBQUQyg\nru9tpnslpudeiyiIhGI9HO99nQr3kozjHu1+iXLXIgrsMyhyzEbXNWJqcNBwSSTj7Gt/nMqcFVS6\nl2GSrCS0OOF4L82B7JTvJKsl7Xcr+OR9yGVlg587fvJTEmNMxpfLywm8+hqBt4aMutCudyj6iy/g\nufUWuu7/FQD2ZcuybhtraMT/+huYCgoo/Nxn0eNxfM+/gCjL2ObNxVRcfNVwmQwIBgOu9euwzJ2D\naDbT9p3vYVu4gPDBQ6N3vgQkwUAyCyWKbDGLdpySB40kEgYEBByid9zGvxw4PAZO7pm8IRb51mnk\nWipJ6gnaQ8cIKlcuFE8LR/A/9hyRXQdwf+AmjMUFo3e6COTpVbjedy2B51+bkPFHwmEX2XitzJ59\nCv39Gnm5ErffZuHQwdQ9I5sEzGaB5qbUBHT+XBOrVploah66p3p6k1RUGHA5RQIDGiajgJLQs+p7\nsZxfx2UkEmeUxSKtDfgP7Ryl9aWjJRT8R/fgP7oHa2kVBZtux7N4LZHm00TahsK+UlLExcOOIdns\n57S5OFyzFmEtqSTSUk/rs79Ny9ERpIl79WgJjVBHEEeJE1dVToYXwH0mKT/QMKRUFPOljFpLbvZe\nlLN9subM7H04g0eQREw2A5o2OUMzhkONqdQ/X0f983XkLyxk2RdXMvMDs+na20HP4a5xPZbkcqSk\n5C+Rqo/+NQabg/79b+M/mgoXkj35GF1eSm//xGA7NTwUBVB6271oCQWTM4dQ48TUF9OTKqG6ozin\nzcV/bB+OGfPo2711Qo41GWj276PZv2/0hoAkGgh4/bTdEkCL9xI+1AhDdgtxNcyRrhdwr5uDFksw\nsDs12T7SlVmIU9c1mvz7Bg2VwWPYzUgWGaUngJKMcbJ3Kye5yL//eTd4+MBB4k1NmKsrFP0DAAAg\nAElEQVSrMRUP/7wdDV3TGNiVnleo+v1Ejh3DtmABBrcb1e/HOndOVm0B1DOeF9Wfeg4qHanoHS0e\nR1MUBNnMZGXqLPGMA+7rr0OuqmBg6zZEOZXw5dywfsKPu9Z9F7Pta3AbC8dlvKSeQEfHiBlZtGIU\nzdQrB6aMtwWgpyWGt3jy3hgWo5OO8Anq/buY5l6JbEhN5OwmD7mWysGiZC65kALrtMH9ADaTh3zr\nNLyWCmSD48x4LvKsVRjPyDPKBjuywYHVOLT6bzW6KbDV4BxB6lFpbqPnv35NeNf+CfnOAPZrV192\n5R5BgFtvMfP733p5e2s+9/8ih+5ujX/9j5RhOxDU+P4Pg/zo+25eezmfT3zcym8eSA/XeHNrnL37\nEjz/bC6vvpzH+282Z913oom2NQIpueLLTaS1gf53UgXtzAXpic2RM+d1PoIoYimuRFeTxLrbL/rY\nJk/KwA7WHU0zWgBk7/g8C0eia28qVKNiY2XGvuJVZ2RR3xkKn4v2Roj0hHGVu7AV2jP6DMfZPtm2\nP5ucftbjcy450z0I4vi+js8NhZtoug92cvSh1AKgd9b4L6LJNeNz7zQ89CO6t76ApXBoBRxBQA36\naXrkfwb/a3s2JV9scntpf+ER2p//PcG68VW/O5/A0T04Zi3CYLVjdLiJtl+NRjiLwW4hWt9Bx/2v\n4N6QSt43FbhxLq/BYB+aR4hmI86l0zC6h+5Jk9eZauceyheVy3KRy3JxLKlGMIh4rl+Ee90cHIur\nMsNdx0gyGk27l0P79uF/9TXiLa0X6DXKmIEAeiKznIV6xnNj8KbuOYPHk3Xbs3mTZwVhtNg5NdN0\nfUiEYxLynjJcrPPm0vO736d5WCRHdi+dSyGmhyg0VbPYcR1r3HdSZVmERXJe9HgJPU6bUkdL4gTt\nSh0dymmCyUw1pZGQcwsp3nIXhZtuxzlt7ugdJoAXf9HKpo8WMX3pZZQAvggSWpzO8Em85tSLzi2X\nYBCNoOuIggGrMQdVV5mXuwUAs8FBtWs5SjJChXMRmqZgN3mpci5D1RLM8l6LJBrJkUuY5VnPTM86\nDKIJoygzPWctcTWCLI18Teqqiv/x5/A//vzEhBEIAjl334JouXxG5UBQ488/62P9xm6Wruhiy409\nfOvbA4RCQ6vPv3kwzMYt3Wza0s2X/87PL+4P8V8/GVoVVVX4h6/6Wbu+m81benjyqWjWfRcv76Su\nbuhvec/Hz5F4HQcibQ3EutuxV87AOXNBxn7RJCPnXvpE3lJYDsNU+TbnpwyW5HnJwMETB0nGopjc\n6RNNz9L1GKw2Bo7vz0oUYCTOemuMzvQaWXJeIe55yy563Gyof74OLalRfVMNRSuHDDZBEjF7LLRu\na8ooPln3zCkQYOnfrMRoyRQNGE75qu6ZU1m399f7QE8ZTrJrKJ/JaDUy7+MLx/wdR2O44prjgXd2\nXoaYCoBnRuo6ivVnVzR2LMjjld8CBGr3I5pknDNS92K8rxtBNmMprjzTQsBgTT2DRdmMpsQRDAZs\nlTOGH3CMaIk4oiXzGa8EfGgJBffCVQRPHWFMcYvvEQSjERAwl+eRd8cqtGiC4k9vGVyIdiyZhhZX\nKfnsDYgmA6Y8F/kfWksyHKf4U9chWVP3XekXbsQ2uxTJLIOmI1lMaIqKFrv0Wndqdw/GvHFWSxzR\niBhG4S/btudfXlPocntPhYqh63CeK16LTPzq6zv+Z3AYvBSaqsg3VVJpmUelZR4BtZfO+Gm6lSZU\nfWwyeQk9nnahyYKFuJ7dC0MyW4l1t+E7uJOSm/+McFsDyVgUS2EpRruTaGfrYJy+7ClAzslFSyaI\n93WTCPoxOtyY84qIdrZkrYzyd79Nn7AlExqiQeAzP5hJPJok2J9IW5T9j3sOUVAoYbaINDVc2cKZ\nmq4hiamE3tbgORWv9SS6ruE05WIQjAgIiIKEqinEkiFUPUFCi1NqmUdb6CiBeCc2Yw5uU0oytitc\nh9XoRjbYCCs+lGQUj6WMtuDoxTnDu/aRaO/Ec9+Hxt34llxOXHe8D9/vRg+Dukp2dL7yOCW3fpzC\nzXfgnr+CeG8XgihisLuwFJYRPH00q7CzC1F804cBiHW1phL6BQFzbjFyfhGKrzejXkoyHqPj5ccp\nv+uzhBpPoMUimPNLMBeUEO/uoGfnn4Y7TNYE647gWbqenMVrMNgdKfU0txd79RyCpw7hnJk5WRdE\nCVv5NESTjGiSMecXI1lsSLKFZCJOMhYh0jJ64b9g2wCHfrmfRZ9dypr/ux5/vY+YP4a70k2wbYAD\nP8tUFap7+ji5c3IpXlXKDb+8ha59HSRCCuYcMzkzvPjrfez4l20ZfRZ8clFW7aM9EVreaqJsXQXX\n/ddNdO5tRzJK5M7LJxFNEGwbwFowtCosGkTylxRhtBoxWo24azwAFK0oweQwoUYSqYKT+4cXaGl4\noY6SNWUs/eIq1IiC0S7TsbOVtu0tae0KlxZhtMsYbQZy56W8vfkLU4Z0IqySiCh07mkffN+s/tp6\n0HX6T/QR7Y0giJAzzYO7xsNA6wCtb6WPPx6MrxdYp2vrc5TcfA/hppOp++CFR8i75n2IRhOCIOA7\nuItA7T5iXe1U3PUZkkqMSFv6dVf0vg9htDkw2F2U3PJRYp2t9O1+A4DC6+/E6HAjWWyU3novsZ72\nQQUz3/7tFG68hWQ8iv/wbgZODOVOBI7spfD6O2h+9Ofj+H3fHThXzMS9bg7dj76NY0k1vlcPEjnV\nganYg3VWKgQruLuO0JEmrDOLkctzsVQVIlllHEtrkOwWzBV5hGtbSQaj9L88lIsV7/Sj+oKEay/e\nK3KW2OnTWOfMRenKVIi8WCSnE8FkQj9PTtmQm1osUPtTi21qby+msrKs2k5l3lOGS/T4CTy33ULg\njTcBMHpyiByZWPfvWYJqH0G1j7rIPjymIgpMVeQay5hpW8l063J6Es10KvX4lI4LJs2ORLFpOg3x\nseXqCEYjgiCga0kEg4Sck4caCVF8w4doeuIXGJ1ucldupP/ATvJWbqLthYdT21ZsJlC7j8KNt9H6\n3G+zOlZnfaaB2NNy4RjxRALu/IiVolKJXW/HeOPlGOHQ5Q+H81oqaQ1mJuYV2GdiEIw0BPbikotA\nEIgk/IBArqWSE/2pGFlVS2AQUitCRtFESFcwYkHXz4ZypFZCavtew2byMDf3evZ1jT6JVVra6fuf\nh/B+7l4kx/jKJlsXzyOy5yDxkw2jN86Cwg98GLm4DF1NoPT10vno8JWkz0eyWCn4wEdofyhTVtRS\nVYPS3UnyTDy6McdDwQf/jNZfZNZUuNIoAR/Nj/6MnMVrsFfNxjljIbquooZCDJw8SKD20sP/+ve9\nhb16NubCUiRTDclEHDUYoHfX6wSOvDNs7ZdIaz3h5lPYyqYhGmXUoJ++3W/iO7B92PZjITHgp/WZ\nB8hdsQlb1UwEQSLh66Xr9acYOHEYW+XMjD6iSab4po+kbbPAoKdKU+LU/fLbWR3/9LMnCbUOUHPH\nLDwzvDjLXUR6wrz+pZdJRDIXQ3RNZ+e/vUXFpioqrquiaEUJkiyhDCgMNAdofj0zdEfXdPb+cFfW\n7ff+5y4i3RHK1pdTsamSeFChc3c7R35zkPn3LU4zXIw2I2u/lhnKXLGpkopNlQAkIgn+ePfjw37/\nrgOd7Py3t1j6xZWIkkikJ0zHzsyJ2Zp/3JDhQSlZU0bJmqFwqidvfwQ9mXr2nnjsGCVrSvDOzsVo\nNZKIqkR6whx76BCnnzuFGh9fT7CxMH9cFmdO/uTrg/+Od3dQ/+vvDn6OdbfT8uSvhuml0/TY8EZE\nx4uPjniszleeHHFfqOEEoYYTw+7T1DhKf09awdb3Moc7XwDA7ipn4J0ThA40knf7SqKnOxHPeE8k\nqwktqoDTimBOeT5F2YgWV9FiCoGdJ/C/XZs2rp447xrV9XFT2wgfPUrp336Z6KmTxFsz1RwvBkEU\nca5cSWDb0EKIwe3GOmcOSnv7YJ5K+NBh5IqKrNpOZd5Thovv5VfIufEGCj//OQRRoPCv/pLWf83u\nJThe6Gj0KW30KW1IgpFcUyleYwleYykFpkriWoxOpZ622HHi2vDeoGnyIvrUdipN8waLTlpFx5gM\nF0fNXFwzF9Gz60+pcBBBQNc15LxiRJOMIIgIokQyHkMN+9EScZLxKI4ZC5BkM47q2Ujm7BNZH/ha\n3eiNzqO/L8l//yCAZIA77rbzq8fz2P12nId+GaKzY+LVViqcCylxzKE/2jJscn4sEaDStQRZsiGK\nqQemIIg4jLkICNiMbk77d9EZPsF0zzo8llIkwYQ/3kmhIT1EzmxwUuFchKopRBPZP1gS3b30/fwh\nvJ/96LjXfMm58ya6vvezzIf8RdL70rOET9aO3vAcktHIsEYLgGvpcvpff2XQcLlcxHs7OfnTr4/e\n8DyS8Si9O1+ld2d2tSNCjSfHdBzfge34DgxfOK3wIx+j8+EHBj8b3TmYCguJNTXR8dJjmPJT+SgG\nl5tofR2iSca9cg0IAkpHG5HTp4h0NFH/4PdRg0FM3lzUUBAtHh/s2/n2M0Tr6zC43MhFRcRaW4h1\nttL6xweGPafT9/97xrZkLHJRf9uR6DrQSdeB7CXjdU2n8U/1NP5pdK/OWcbSPqkkOfK/B4ZV3trz\ngx3s+cGQYlU8EOeJWx7O+jyGo217S4aH5XyevO33Yxrz1B9qOfWH7O5jJaRkfIejDx7i6IND76rR\njj+eYWKTHdfcZQSOjm8NkHcT8fZ+1IEo/m3HKLpvM/b5FYhmI5FT7ZgK3FhnFCMX5WBw24i39JLo\n8lP86S2YqwsRzQY6/vc19ERm7le0oYvCu6/BOq2IrsfevqRz1BUFRJH8++4jeuIkan8/otWKZXpN\nWjvBaMTo9SDIZiR7yjA3OJ2Ya6ahx+Jo0SiJvpSwSKzuNK5NGzEWFaK0tiHabNgXL0JPJul/5tnB\nMUMHDmCdPTurtlOZ95ThoisK/U8/g+/Z55EcDpLB4LCVqi8XFsmOQ/LiNuRjEAwoWsoDUWGeQ5l5\nNo3RgzRFM8OGTscP4DEUUq8cYCCZcvtVyZmx8xciWHeUcNMpPMs2EGo8iWvWIkSDib49b2AtLgeB\nVEVtQcBeMZOuN1MXvK4qBOuOEDiR6YGoKDOwfNlQldvH/3BpYXiyLLDhegtr1ss0Nyb5m/v60HSd\nz/6Nk2/+Q/Y5PRdDU2A/TVx4Fdwf7+BQz4voujboJatyLaXW9zrBeA8ljnm45EL6os0c6/0TomBA\nO6Mu1xk+s+IWGTLoTvreQkQiqY8tNC7R2UPfz35L7mc/imgfv9oSkjcHx7WrGXhl2+iNLxL32mux\nz56DnkyixWJ0P/XYYJ0Q+9wFOBYtwej20PyToVoIxhwPno3XYy6vIu+WOwke2MPAgZRKjCAI5N18\nO6a8fBBEep79A0rP+CocTXXkgkKcK9cSOryf3Jtvo+vxh8m77YOE9u8hGY2i6zqC0ZiSZo2G0c4k\neloqqtBUFbX2CLb5iwgfPYzS05XRN2fDZoKH9pF34210//HxS6pOfpWrvBcMF+eshXgWX0Ost5PA\n8fde8eXRCB1tJnQ0VcC386E3AGj9yfMIJgO6knqn+rcdw7/tGIJRGjRONEWl9SfPpzwwijqY39H0\nnfSIhlhjN03fe3rczrfrl7/EtWED5soKhBnTSYYjJHp6CG7fgTqQyv0zlZZQ8LGPpfWTK8rJr7gH\ngGQ4TNt3vwdAz+9/j3PNaqyLFmGZORMtHidW30Dg9dcHjZvUF9aybzuFeU8ZLs61a4gcq0X1+Qbd\nZY5VKwjufGeUnpeOy5hHsWk6eaYKJEEioSfoitfTHj9FXSRzhUVAYLHrhmENlwp5NlbBSUwPYxVd\nxPQwHYnTWZ9LpLWeSGtqhbDjlVSYQaB2f0qiVBBoObNC6l22Af+hncR6OnDPX0FiwDcY0iIaTWhq\nIi0pbMtmM//fXw0VtbuQ4fKdrSv4waeO0H4qvc28dTnc+bdVfOO2fSSTkEzqHDmYQBBg3WYzjz0U\nmnCjZSxoerrh2xAYip0/P1dFG0USW9c1khepDJfo7Kbj69/HsXENzps2XdQYw+HYsmFCDZdkMJCS\nHlUUJHcOzuWr8W1NeSRCRw8Rbaqn5OPptRASvn66nnyEkvs+R88zT6L0DXnDBKORnudSLyVzaTme\nzVvo/P2DE3b+UxFzeSWhI4eINtQjF6fCgZIDAQJ7hiQ01YEAif5ekqEQsaZUuKCuaYNqOZJtyEA+\nv2+0vo5YYwOdjeMTZniVseO+fTOR3UdQ2qa20S5XV2CeWTN6wynOwPGDDBzPrk7IVYY4a7SkbRvG\no6LFR18M1NXxW8RWOrvoeWTkUEKAeEMjzV//Rlbj6ckkgW1vEdj21ri0Pfe4uqpmnEfrtzO94ZOJ\n95Th4li7hvDhw2nbnOvWTbjhssJ9CzYxFRo0kOyjLXaSHqXpgrVddHR8yvDVV5vitQgImAQzOYZC\nKo3zkAQDeyMvX9J56sn084m0NeGes5RkPIZoMDFwzkrQcPHvNtuli9QpMQ2rM5UIv2yViYJCiV1v\nX12xzZbgGzvG1XABMOS4UX3jHxdr8njJueZaWu//KVo8jnvNBoRLrKiuKedfl5NX0vFKETx0gNz3\nvR9L9bRBNZ7hUDrayNm4BbmkFN8brxJva8Z7022YCgsxODOLeJ7FWjMdubgEwWik76Xn3rVF9CYz\njk3LcWxaTqK9h57/foRk4PKGU44X5veAt+UqVzkfk8dOycc2kDxjcDX/9/BzO4PdjGSViXen18Qr\n/rO1tP9ubCFv4znWRPOeMlwEo4FkMP0BfqEX93hhFmy0x+toj58gqGbvLRAFacR9OjpzLdcQTvo4\nHt9FTAuPx6mmEe1oJNrRmHV7h/3SJ4kzVrgI9adu1pPHVT7+WSdllQbOOjb+4xtTP7FsQtF1kr4A\nUs74yUzbN63B/8Tz4zbeWQTZTDIeQ4un5EatNTOINmafW6ApcUSrHfquJrKOxrn5LVo8RvfTjyMY\nDINGRecjmWIJ8c5Ouh4dEt9I+P10PvwAgiimhdie37f7qccRjCb08zyyV7l89P/ueaxLZiNPr6D4\n618gdrKJ8DuHiR46ha5cWZXGsSBPr77Sp3CVq1x2BLMRxRei7TcpISk534WuJlH6Q5hLPSR8YQRR\nIPf6BSlRoPpuBg40gA6OBRUM7Bvydps8dhAErFV5RNt8xDt8KaW1OSWoYYXwyXYkqymrsQDkAjeW\nci+h422owRgmjx1rdf7g2JeD95ThovoDyKUlaYWA1MDFV4bOlu3+J1DHmLcAUB+5cI7F4ehW8oxl\nTJeXkNSTHIsNn5h7ubDZLmy4LL85j+s/MVRT4c+/MxM1kT6xySkw8eqDqaJ3BYUSTzwc4rWXomhX\nLhVpyuH/w4t4P3n3uI1nXbaA4CvbSA4Ex21MgHhnO4nubko+npIbjTalGy35t9yJ5HIjWW0U3n0v\nSmc7/W8OJbYHdm0n93234N+xldCRq2EWYyUbT0hGDqCuZ5UXqF+iItlVLo3wzkOEdx5CslvxfupO\nzDMrMc+qQosrRA+cILz7CPFTzZPasBQtZoylE1uodKrjWbuZSGMdsbaRi1Xap88GIHRqbMIoV7my\nmPKcuJZWg64TPtlB2ac30/7QNgrvWEnjj1/E5LEjWkwkB6JosaHnbTIUo+jDawn9a0rZzj6vDNeq\n6fQ+t5/S+zbS+IPnqPziTfS9cghTnoPQcR3RZMxqLEtFLvk3L6F/63HKPr2Zpp++gn1eGYm+0ODY\nyejER8i8pwyX0I5d5N79IYLbt5Pw+TG4XYR2757w416M0QKMKItcLs/GJrgBHUWP0ZfsIKpd+VAA\nh+PChsu+l3rpbY0xc4WLzfcW01IbJhJMnzyd2jPA/ldSK+jhkMbiZVaWrRoq1vbtf5x6HhfvkhIW\n/t0mFH9KfKH99ToaHjuArk3MpCFWe4pY7SnMs6ePy3iCwYB97XICL7x20WN0PjGMcpCu0/3MEyP2\n6X5mZElRgEjdCSJ1Q7KiCV9/mhRyrLWZzt8Pr2g1ViS7DUNuDpInJ/V/bw6GHBeCyYRoMoJsGvy3\nrunoiURKXUZJoPoCqP1+kv3+wf8nunomdOV7y0cLePmhofyGLfcW8vKDKXWtO/+yhCd/PD4ynQC3\nfb6YvX/y0Xpq/AsPjheCJGHIzcGQn4upvATRaUdy2JEcNgRZBoOUkoc3SAiShJ5MpuR/VTVlqKlJ\ntGgMLRwlGQ6jhyNooQiqf4DY8Tq08MTXA7sYkqEI3T98CIPbiWXpLKyLZmFbMQ/byvmovgGiu48S\n3n2YRNfkq+0g11SC+J6qkT1mclZeg5aIX9BwsdXMQi4sfVcYLqJZxliUj3nODKQcF5LLgWgxI1gt\nCCYTgiSeuX81dFVNKWKqKrqikAyESAYGSA4ESQYGULv6SLR3osUmaSi6KCBIIug6aihGz4sHqP7/\n76Du64+DrqP0BYl3+kn0hwnVDj3PI/VdGYtSgZ2nCB5twT6vDKPXRvBgE/7dQ3nR2Y7lWlJN7yuH\nCZ/qwFziwT7zTP2cc8ZOtl41XMaV0L596GoC+9Il2F0uksEgXb/638t2fJchD4vkwCjII7ZpiY3+\ncGmOT84H0Gg5LklVp+FgkIaDQZbflMdLv2rNSM4/l+ZGlR9/N8D8RSYiETh6cJI+YLLAf7yHff/8\nIiaXmXlf3EDlHfNpeGJsdXfGQuDpl5CnV11yzshZrCsWMfDK1mFX6e3LZiHKBgbePoJ1fhXJQJh4\n8/DFtySbmWT4wvV7ssW9aQm2ZTNo+4+xyblmgyHPi1xdjqm6HLm6HMmdfeidIIJgkMBiBkDK85Jx\nx2saifYulKZW4o2tKA0tJMfR+1tcM1S1XZQECspTZzB7pZNDbw3FMMtmkelLUoIaR3ektlfNs+HO\nN1J/OIK/O7X6VjwtNZ63SObYzgBJVaewykxesYxwzm1fUC5jtkk01V65ibwoyxjLizGVl2AqLcJQ\nkIvBmzOmSbBgMCAYgHNCiUcO3AUtGiPZ04fS0oHS3IrS1IbaN3lERFT/AMFX3yH46jsYct04b1iL\nddlcHFtW49iymnh9K8FXdxE9fOqKnufZiamxqADr0vlX9FzeLSRjMQwO55U+jYtCtFowz5qGqboC\nc3U5Up43q36CQUo9g81DT15DQV5mQ10n2e8ntG0XseOnJ9U9q3QF8L8zpDpqn1tGpK4TW00B/j1n\nohN0PavyM1qaYIEwWAMnjSzGSkYVpHPq5yRjcQwuyzktLk9O6XvKcIFUgZ7wocOjNxxHTKLMPMdG\nXFLuqG2zMVwmKw579hOD2h1+VOXCClpOt8jffs3Ngd1xrHaRG26x8L1vTj2Py7kogRjHf7aDFf9x\nCw1PHKL67sUUrK5ET2okwnEOf/d1lIE4hRumkbuohCM/TBWxNNpkVv/4Tt767KNoyuihOmqfn9Ab\nO3Bct25czlu0W7EsmE1kX+a9Y8hzYVs4jeDuExi9LnRVS1Vtry7C4HESq2tD9QWR7BacGxejNHcS\nPtSAwW1PrSb5Q5gKPaj+MFosjlyaesEYcp1EDjeia1rGWAD+1/ZhWTC+MfCm8hI8n7hrXAreXRBR\nxFhahLG0CNva5QAkmtuIHKwldqgW1R8YZYALo2tgcxr4i+9N4+f/0ED/GQMkMqBy+xeK+eFfpV6I\nOiCIApvuzuXojgAGk0hhpZmBPpVPf6uK73w65dH65DcqeesPvUSCKroOhRUyt36miG1P9TFnhZM9\nL/uwOCQ++MVS3n6677IaLqJZRp5ehTyjGrmyNDVBGadiclmfg8WMWF6CsbwE29plAGihCLGTp4kd\nOUns5Gn0+JUNn5OrS7GumI910UxEqxk9qRE5cBx0sCyYTu6nP0D00En6Hnjm8uTBCAIGjxvr0vkY\niwowFhcgeUYWfbgYbGuWYVuzbFzHnAh6fnQ/SsvwYjyXimiS0fXLXLj5EqIJRLOMZdFcrIvnYqos\nm1ivmyAgeXNw3f4+XECyp4/Y8TrCuw+R6LiyinyOeWWUf34LAL6ttQgGkaafvkTlX95IpKEHpS9I\npL6bog+vxVpTRMej2zF5HXg2z0cuyqHwrtX0vTL84qgpx0bZn28GAdoe3IYWU7Iaq39rLaWf3Ih9\nfhmSxUT4ZAdywfjes9nwnjNcrgRVlsW4pFz6Ex30Kq2ojM8LTJKguMiAqup0diWveLiyY5Qcl3N5\n/D9Gl0pduMTEU4+G2bcr5Wn5/JdcyLJAPD5547KzIdI5gCAJyG4LbS8dp/7R/aBDzUeXUrShhqZn\njtK9vZGaP1uCwWpCjSjkr6qgZ3dzVkbLWUJv7sR2zQpE88gevrFgW71kWMMFILz3JK518werawsG\nCVNxLmogROHnb6P1Xx9CMBmRLDJaLDUpss6uQFOThN6pxbF2HqGdx4i3xSn4zPsZePMgyXAsVVNk\nmLHGE0NOavJkXTofKdczrmOPBWN5Ca7yElzv34zS0k54+x4i+4+CNvZJx0CfwpLNblpORZi53E5/\ne+qZ01QbScsrU2Ia89c6efBbLeg6qAmNZFKnfJYFi11ElAS0pE7Qp/LG4z2D/WYud7LrRR+1uwaY\nuyrlsYmFkgR9Ko3HJt5oMRbmY55bg3nGtImf3Fwkot2Kdcl8rEvmo6sq8ZP1hHcdIFZ76rLmljiv\nX4111XyMealrO9HVx8Ar24nsOkIylPqtJLsV163XYlu1ANfN6/H/IbsiqdkiyCZMhXkYigsGjRRj\nUT6CaeLFcd5tnO9FF0RxWM+6IElYSiqwzZhDor8nY/+EoevDqDuOjrEgF9v6lViXzEMwGCfgxEZH\nyvNiy/NiW7cSpbmN8I59RA8eHbcizNkSb/dx/Cvp77ng0VQh2cb/emFwW7Sxh4bvPjP4WekL0vno\ndjofHcp37t86tBje8Uhqe/PP/4RoMqAlVM5mJGQzFkDTj19M9T0jRX12/LNjX4EZgS0AACAASURB\nVA6mnOEiO3JwT1uMxVOEaDITaquj+3BKeUEymZFMZhKRIPow2dyS04lrwzqM+fkI4pDjv/MXv5zQ\nc/YYi/Cr3RwMjt/LYP5cEz/49xyKi1Iv7FN1Kn/9tz6aWka+wX77q9E9PpdCQeH4Th5On1T5+Gft\nxKI6druAxzv1jZazCKKAntTIXVFO4fppJKMJrAUOunenimxpiSRd2xspWFtF2ysnKFhXTf2jYytM\npsXiRHbtx75h1bics6myDIPXjdqX6fWKnmol54ZlxOpSwgq6moRkErmiENFqAlFE7R8g0e0jeuLC\nlbzVYAT/q/sGP+u6njHWxUzmz8eQ68Gx+RqsS+ZNromvIKTCnMpLcL7vWkLb3iG8a/+YVux72hTm\nrnby2A/auPerZTz/65FXD/e96qO/M7U4sOpGL7JF5PlfdTJtoX3Q8X++d1SJasiW1N/MJKeepboO\nD3yziS/9zwy+/7mTY/jC2WHMz8WycA6WRXMw5E/ss2y8EQwGzHNmYJ4zg2S/n/COvYR37UeLjk/Y\n5HDHs8yfjm3lfMxzqtGVBOF3DhPefpB4fWtG+2QoQv/vnseY78GyaOYlGS4GtwtDcQGmonwMxYWY\nivORvDmX3Qv2bqX6r7+a9tmzZiOeNRsv2Mf/zuj1P8YLLa6MyTA35Hlx3rgRy7yZk+oaGXwG37iB\n4MvbCO8+OC7vnfHmYuvPaMPVwMlyrOH6Xk6mnOFSc+tfIpwTVK0MDFUCtRVUUr7hbtp2PoOvbl9G\nX+8dt0FSI3zw4ODK8HAYJRlJTF+ljiUuPv7cJFjoTIxvMbavfsU5aLQATK8x8NW/d/KZvxw5yXLx\nwiuzijEcBqPA+rsLmb3GjdNrQhDTH1j/etcB2ltVHnkgzJoNZiJhjR9+e+IV4C4H9ooc1JiKEoxT\nffdidv7NU6hRhaq7FiEah37T1pdOMPev19G7uxlLvh1/beeYjxV66x1s1yxHkC4UoZ891iXzRyxI\nGdx5DPf7VhL/43aca+Yimk34ntmOZUYpgnBmYeecEAJdSw7+7pJjKE72/AJiI451kRjyvCmDZfHc\nyWWwDIPkduG65Xoc160j+Mo2Qm/vzurl2demoCo6/Z1xzHYD/e0KOQUm1t3upaBc5pbPFLH1iV7s\nOQZmLncwc7mDF37dSU9bnPd9vAB3gXHQMBmOg9sCfOKfKiitseAtTq2ae4tkttybT3fz+E7G7etX\npcKJigvGddwrheRx47x5M/aNawi+so3wjr1ZKbWNheJv/iWiLZVj5XvkJSJ7jqHFR88RjLd2YS8v\nyuoYgtGIsTAXY1EhxuJ8jEX5GIoKEM/kdl1lYmh98GdYKqqxVk7DUl6NFo2QjGUKY+iJBImAj8Ch\nPRmKjROJnsV1BikvnOuGDalQ2Un8HJacTtwfvBn7+pX4n3mF+PHsi31fZWKYUoaLvbAKXdPwnd5H\nzN9F8Yqb0/YH206RTMRxlc8e1nAxlZbQ9p3vp9R+RmB+8fuRTU7UZPrNd6BlZPWj0YjpIcySdfSG\nY2B6TeZPt2Th1HG7b/lkKRvvKaLlRJimoyMronW2J3nrtRiCAHn5EqHg5FvxGAvmfDuzP7eGxsdT\n8r3JsIIaVRBNEnnLy+g7MKToEe0cQIslKH//XDrfqr+o2XrSP0D04DGsS8Yn0dW6eN6Ihkv4YD2e\n264BQOnxk3PzKqQcB6I8ZDDHGjvxfmAdfU9sI1bXTt5978NUlo/BO3Ly+3BjGXPdONbPx1SYg+Sw\nkgyOHp4kGI04t6zHvn7lpH5RDodoMeO69XpsKxbS9b2fj9q+dvcAtbtThv6/33d8cPsff9bBH382\nFEsf6EvQVjc06ak7EOJnx8Koqs65YfE/+VL6yzoyoPLTL5/GYBTSQs8e/X4rSXV8vKJydQXWVYux\nLp43LuNNNkSrBddtW7CvWYrv6ZeInxjHyaUAwa17iWw/iNI+vFDGsN0MEqrvwvlVkttF7qc/giHX\nM+Xuo3cD8Z5O4j2d+Pdsp+ov/h7f3h2X1aMyGnoWKl3y9CpyPvT+MYmeXGkM+bnkfuojhHfsJfDM\nn9ATU6ce0ruNKWW45M5dS8PLvyLal3rxnm+46FqSeKAH2TWMegSghSOIRiPJCxguBsnM3saHR5Qi\nvhjaY6eosiyixVBLaAwFKC+EP6BjsaR7KQIDUyeMatF1Xt56vIunfzSyjGNZhYG/+QcXx48MPSB+\n+eOp+bBwz8pj3S8+RDKh0f7ScZqfPwZAsNnHyu/cQiKSoP9Qe0a/1pdOMO+L69n1t89k7MuW8NZd\n42a4SHlejAW5JLqGij76X9g1+O+WbwzJD3c2PJVyPZ8TNhBv7kJpT/VN9AZo/+6jCJKY5qLu+M/H\n044ZO9maMVai10//k9vof3J4I+p85GmV5HzwZqTcnDF828mHoTCfnA/fSuCplyZMxjOhZP8cOb8O\n06UaLYLRgHXZAuzrVmDIm1rhYBeLlOcl91MfIfTmTgIvvD4u4SjtX/vxRcXl+37/4qhtRJNxyoXq\nvVuJd4/dCz/RaBcKaRUEnFvW49h8zaQKCxsLttVLkWsq6H/gSRKd2S8KXGX8mFKGiyW3ZNBoGQk1\nMoDFM7yr2//qa+R++C4G3tpOMhAYnAQpXUMXX1fwBKuqPkE0EUgzXg62/iHr8yyQq9I+x/UIIc3P\nUseNdCcaCak+FH34cIqueHYhZY88GeaLX3Ckbfv9E+Gsz/FK4/AYOLnnwit75VUGfnd/iH27p64M\nMkDfvjZe+/CDw+478oM3L9g3GUsQavYRbrt4NTWlrRO1u3fcJhvmOTPSDJeRGGnilBZHq+tZxdVe\nbHKkYDLiuuV6bCsXT9kX5flYly5Ariil74EnrrjyzXghWi3YVy/Fes1yJLvtSp/O5UcQsF+7GlN1\nOT3/9etLHu5yJxNf5cowcHgvWnRy1RAayeMiyCY899wxbvXFriSGvFxy/+Lj9P/6UeL1Iy++XmVi\nmFKGiyiNnqMhGuVhE/MBvHfcjiAI5H04vap489e/OfjvEvdCjnW8QDx58Q+DOba1I+4rNFXDBSK6\nsjVcfn5/iFOnEixbIqPrsHtvnDffym6C39un8YUvjr9e+U//M4dcb3ahA70tMbzFF46FPnU8wRf/\nj4vcAmlwFfj1lydvkbuJoOSGWbS+fGL0hqMQPXAMx5b143BGYJ47g+Drl09B5GKR3C68n7gLY8m7\nr/q2lOsh768/QeAPLxF+Z2yiDZMN+zUrcN547VWFKVIJwZLbSdJ/afl87ts3E3zjHZL+4AXbiRYZ\neVoZokVGaWwn0TN56lhcZXRCx49c6VPIQBumcrpos5D753+GsTS7/KmpgGiW8X76I/h+9zTRw1O3\njMVUZEoZLkrIn1o1HUGxQjQYseQUEvMPL/3X8o1/GfUY/kgrHlsl/4+99w6P47ru/j+zs70veicA\nVrCLTSRVqN57sRVZsWM7ju245LWSN7Zfx05xEtt5Y+fnoiSvLMe2LKtLFlWpRlEUqyiRBBsANhSi\nLNr2Nrs7M78/lgSwRFtgF4WyPs/D5+HM3Llzsbszc88953xPNOlPu457Asn5JyMfZtw2G97ZLvHO\n9ol7I/r6FY4cy31NAZ9Pydhw2fJIB3f/72q6m6Oc+HBkz4uqwra3Up4pnf6jsVqeKaVXzqP6jmUE\nWzx0vXNy/BPGIVqfO8NFX1mGxmiYvRWHAUN1Ba5P34to++iu3gtaHc57b0FXVoxv8xvTKrGbS5RI\n5GOjZQiFX/o0ff/9u6xq+diuWot0qo1YMIK2MI9kn3dY8VhdSQGFX7kP0XG2ZpGqEnh9J/5XZ0++\nxMdceCjS8GiSgr944CMjrjEUQasl74E76fsfKascNaO1gNKai7Hl16IzWFGScaSoD293A33t9SSk\nCyeaZjq4oAyXQFsDJSuvovvgO8MKKgkakZLV1yEaLfiPZBb3PhJJObWib9JOvtLsbC8i6fVNTYJ7\nKJz5xGnpZU4EBP7iPxYiRWWCnkRaMvC/feoQvd0y722NsmylnkgEjtbP3olyrul652RODJZzJHr6\nSHR25+blodGgr51D7FjuJW9zgXn1cpz33DRibYOPIpZL1iIY9HifeWVWynWOR+TgMew3XInounAS\ndacSMd9J/p/fR8/Pf51V0Ur7dRvJe+AWNCYDihQnuGUXgbf3DBx33HI5GquZwJadKJKEZeNK7Ddc\nSuxkO9Lxlhz8JR+Ta4xllST9XpLh0QVtZpxY+m9W0Os+kkbLABoNeQ/cTd9Dv51Uzkth5UrmLLkJ\nQSMiJySioV70BgsWZykWZxlhb8fHhst5XFBv9r5jO6j7xLewVy0m3N0CgNFVTNnFN2MtqUVvyyPq\n6cRzYmSPh6DV4rj8MkxLFqMxGun4vz/GsmI54frB6qLN/XtHPPejhM+XW+nNcwQnoPhlMIs0Hxrb\ni2V3avib7zo5uE/CbNVw/a0mfvz9yed6/LETPdSQsxeIcd7sNFws61fhvOvGj0w+S6aY16xA0Onx\nPvFCzqV1pxxFIbR9L47br5vpkcwatMWFuO65Gc/vM8+tPB/9nFLkcITooePo55ThuP0K5HCE8J7U\n+05fXU7s2Gn8r6YW+iIfHKP0e1/CumH5x4bLLKXw2ltJhgJ0PZcqTlh65/0Ejx4kdPzYDI9skDTZ\nbUEg7/47Zm4w04TGaCD/85+k5//7FUo48zQDR0EN1ctuARXONLxFd+v7A6kOBrOLvNLFBDwf59Cc\nzwVluMhxiVDnSaxl89DbUlWAja4SjK5UDHuwvYn23ZtR5ZETE53XXoO+rITA9vfIuzWlSGbfdHma\n4WIzFhOSelFVBYexBLupjO5AA3E5+9wKk2ijQFeBRXSiEbQoapKw7KMv0U5UHjsWOZf4fFMTU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yf/wSSlSi/9ebB/YX/PmdaB0WtC47RV/9BNLpDvyv7kQJR/E8sYXCL94NGg3Jfh/eJ1KhOOeO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\nlpAl3KEm8k2VdAYbSCo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LoXU6JtT3ZLigDJdkbPgqdtt7z+KoqsPoKiUR9hFoayQpDbYb\nmnwvBwJ4X0uv2GucP2/qBnwWq+jCk+hCJTXBEwUtVaYlhBU/H/pfQ1UV1jhvptywYMoMl6EFJts6\nxr8RI1EFSN1sTmdmoUB/2BwZMFwArr/GxH8/knIp7nx2+M311qOd+LrTVx9dJYYBw6WzPclTj4bZ\nuMlIJKzw0x/OzArpbOXX/z75fKlMHqQZMwWGi9blzHyVajRUlUQWdSpmK3Iw+xyJc2ic2YXiXUgU\nGuawyHYJh/xvjuCFubDJ/+z05Yx4n36TyIcNmFfXoSvKA0Eg2eslvO8o0qnhk5WigqXDDJfS4osu\nSMMl4ouz//l0b7m70Y88RGlMTqjISZWSBTb0FhGNRiAeThDxxalek0/bAU/a9oE/tI3aV9kSJ83v\n93N8+8iJ3aLZRqhhdLnhmURqm32GC4AhrwRzcSWCKCJ5ewh3jL2IkYuIAiETgRFBwLpiOa7rr0PQ\n65HDYaKNTfjPCkqFDhxA0GvJu/sutA47ihQn8N57A4ZL3q23YKipTuWfCAKGmloS7i76nk6JD3hf\nex3HFZso+dIXUGWFwLvbMzYuxrt20uOl5EtfQGM2IwdDE+p7MlxQhsuIqCr+1mP4W4+N29Tz/AvD\n9knNLWnbetHEnPx12E2lqb5jXbT17yMuT77Sr14wEZUHJxuF+ip0gp6TkQ8GQsc88U6K9dknIo+G\n2TRouIRD43stfP7Bh6crQ8Nl3/702OdVK0b3BJz4MEDYNzzWOxZON6q6u2QO749Tv19Cr5/5+jOz\ngfv+Mp/eriR9XQl6upL0uxPjSiefz9DEumyZilAxbWn2ghiyLzCsTtNHATWHxT61f0SGS6/USq80\nc/Usphrp5BnibeOvvp5DX1WCYV7l5K51qn1EIyWtf70FUTSiEbWYTPmD+3VmRF2WixIzhDyCJPH5\nLLmuFL1Zy65HT1Ox3AVCSnHy1R8eoaAmJVygqoPbt35vOY9/feTQx4QkY7CO/qxWouFpK2w4URKd\n46toTTfORasxF1cSajuOqiiYiypxzFtB57t/GPWcrMOzMkSJxej+TSqMduN1dm77bD6GSwXUz5fz\n4F2nKSnX8Y1v9PLNTz404vmel14ecf851EQC35tvUdC1Y1iNuLZ//H7advjAwfTaMapKcM/7BPeM\nHGbne/MtfG/mThBrPC58w2UCSB2dw/ad/2XXlVxPQOrmePc7CEC+tZa60uupbx9u9GRKUk0M1GwB\nKDXMJakm6I0PrrTIagKdZuoe5rGYOuB1sVjHNwB8vsEHdFVlZj+TLreMrAyq486pGv28h78xPCQP\nIBZO8sQ/p9SG8vJF/vrvHNidGr72WYmvf9PBT/7FN+N1XGYad1sCV6FI9XwreYUirkItggBSTKW/\nO8nPvzf+5CWXqkRjJetOFn1ZcdZ9yN6ZkQCdatRk7oQVRMcfX6jYR5XIB0cJ7cq8UJ310lWTNlwy\nwWwuorRkNSZjHovm3zawPynHaWn5aFT1thcZWXFbBa4qC5d+fh4HXziDrzPK+gdqsBUY0RnPRi2U\nmFh7fzXxkMy7Dx9P2/a0R0btq/Ooj+U3lXPdXy9G0MA7vzhOPDq4UBQ6cQxzTfaS8blGicYyqlsy\n3VhKq+l457mB7WBrI2WX3z6DIxqO0azhgQeL+Pb9Lfg9SYzmqSs3cKEyqw2Xmuv+bNLnNr/xm4za\nCaKYprCk05po7tg9sB2IdbNmzp+MdGrGRJUAefpSmqP1OHQFOLXFtMeaBrwtAHqNaaD+wVQQDA0a\nLpl4UPo9g6sMNqtAcZFId8/YEyZVhVBIxWFPXSc/b+I3nKrA/jdSMoVLVuh49vdhLr0qZdBJkopO\nLyDFZucK03Sx7eXBkLmyaj1LVplYtNKExaYh4M1sUpvLopHqFBgu2hwYLkl/5qorFxK5UKU6h8Zh\nzVlfHzOzyOGJRQUosfFzHUfCumE5lvXL0RY4RlU3a//mz/D5mvH5mqlbeBcNTc+P2O5C49lvpQtZ\nBHpivPfISd57ZFByPdQv8cLf+ZGT6kAejM8dZevPmhDPlhgYuh2PyaP2BfDa/8/ee8fHUd/5/8+Z\n7VUrrXqvtuXeMbbBYFMMhpCEVEIIhFRS7lIuudzvvsklubtcyoVceghJCCEkhB6agRhMsXGVG7Ys\nF0lWLytpe5md8vtjbclrdWkl21jPx8MPa2c+8/nM7s7OfF6fd/vBYfQmEUVSBxlXet98BXNeIaLR\nhCpdONZlxTOxbJdTTTzgxb1gNcGmOjRFweTOQW8dvr7d+UA8nTgnfrr0QzQ8sFIrCvDJf8+luNKM\nKMKv/qOdlvrE9/6eT7hZud6JEtcIBRR+/u9tBLyJa2vZOjsf+GwWIb9CfW203+KyaLWNWz+ViU4U\naDsV4w8/6CIcUPj+I2V8/YMNLL/Kwd3fyOGejSdYeqWdsmozj/3aw9Ir7bzn45mIIoh6gW/cNr0x\ngxe0cLFll6S0v6wPf5Cep/6OGhm4wefcfRcd993f/zoU82A1phOWEj88uymTUGxyhaPaYseotq1h\ntetWDKIRWZNpiiZnWrHr3f0pQqeCbo9Cbk5isjqrwsC2t0a+yZ1sSJ4cXbbCyN+fG/3BaDxrId90\nTpHKquVjX909vsdH3ZE4d3/Ogd0hcu0mC2ku8ZIXLWfzq2fKaG+W2PK0nwfv7cY3RtECgHFyeenP\nZkosLilwFVP73pkxUal0zTufhQxnSB2e+x5DahzsUTASWnRiv9uMj9yAFpeJd/SMqR5Uw6nza13J\n3LScSGMXocNNuG9YSqy1l1hLD6gacW8QU1468b4QhnQbotWE3BPAXJpN8O1TaLKKc3kloaMtKMEo\nhgzHoOPUqISpKFGWwZjlJHiwEVka7BagyCqKPPzrkZCHcVEzFxTjP1RDySf+iWhHK7Lfl1j9G4Kk\nQpVTjNwz9QW1J0J3zVbSqhaRsXANgk6H5PWM6CZ2PggHFZ59sIf/eqiE1/7u49Unffj6EhdKTpGR\n+/+rg7oDHWy41cWNt6dz33cSHhavPunjqd/1oGnwgXuyWLPRyea/9mGyiNz19Ry+88lmulolbv9S\n4tmalq7nzq/l8O27m/D2yFz/oXQ+/Pksfve9Dnra4mRkG6haYKH5RIzcYhPFVSYajybmjTd91M3v\n/6eDhqNRTObptwhd0E+thn88OOT2smvuIObtom3P5iH3D4cSDpP72U/R89iTxJqasC6YT+R4ctpZ\ns8HJitLbicZ9CIiYDQ7CUh8rSj/S32Z345/HNW5HrAGjYCXHVEpI7qUhfJCYOmBGNevsOHUZNEVH\nj9OZKEePySyYl1AVc6tH/9rr6pLvqNeuN48qXLIydVjOiqU5N+7iUz+eTSyioGmgN4ro9cO7rP3L\nlbvo6lD4wy+DrLrChCgK/PDb70zXn4nym+91MneJhfU3O1m70cHxQ1Fq90eorRldYJ4pEjdZ1JiU\neh9rQUBMn7wLk339auzrV6fghGa4lBBMRkSTKfG/2YhgMiEYjQgG/Vn/DP3/ixYz6PWIRgOCXo9g\nNCDodUltMOhP79OnNL7sDJG3Ry6yOhTR2gba/u2n4z4u3tlL10/+PGwRykHjRM//6ru1Mg/RZMBU\n6CbW2ottbhGarODbUYdr7Vy8bx3FfcNSwodbyP3YegK7j6Ozmom0eFAicfI/cR2tv9o85HGxlh4K\n77mBvlcOoYZioE7f4lreewfmJdbSkRMNTadwUXpHT8lvSM+g4HOfBxIFkWNdXfh3bCNcWzvKkRNH\nUxW8dTV462pGb3weef7hPnZuCXL1u9P47oMlfPHmkwD0dcWpO5B4vreciLF83YC1aOEqG6tvcBIN\nqWQXGKh5IxFXnV9qpLdLpqs1sVCxf1sieVXFfDMNtVG8PYm53lubA3z3j4mC4g3HYhRXGimuMvHW\nywEq5psprjDxxmlvjy1PeLnnO3lsf8nPq0/5iEWn13//ghYuoY7hzU9KPDbi/qHoffoZLNXVZH7o\n/cQ7u9C5XIn82GdR1/XKMEdPjqbo4UFWljNElSBbex/uzzo2FdQejQOJQpqrVibMjCPFitSdiCPF\nNYyGhLi4+kozVZUGjp8Y3k1l/brkmgBeX/INPBKUMVl1tJ0I03Q4xKm3A5w6EqSndXjrj9+vsn+P\nhCBAfqGehpOpc5O5WBFEcGcbiEU1WhvjRMIqOQVGNtySxi0fS+dj606O2ofOkRrhogVT78ess1kR\ndCnMejbDDGcQBEyzytC709E7HYhOBzqnHdFhR3Ta0dmsiUIclwCaoqBM4Pcb3nV4zKIFoCD/Mjo6\nalDUxL1bpzORm7OY1radoxyZQnTiaffY4b9bQdTh23EU6/xiggcbsc0twplVTvfTOzEVZGCdnT/s\nsYo/Qu/LY48vShUdT/1l9EbnASU4fB2zc2n60Q8QjUYslZVk3vQu+iwWAjUXtrCYDno64zz2Gw+H\n9wz81qLnepycvpxzi42851NuvvHhRqJhlXd/3I3+9NxNIHltUZETL841zJ1922s8GqWgwoSmaJx8\nO8K6W1ykZRrwdCR+w9te8HFge5ArbnTyzfuK+fJ761PynsfKBS1cpgK5qwslEMCYm0usdXC6vnCs\nD4POhE5MnoRH41PrdjKVogVg5+4BceDOEFi80EjN/uFdBWIxjTe3x1i/LhFfIorw4++5uP3uHnz+\nwefqzhC551PJvqInzhEZ39pUQ2ahmaJqO8Vz7ax5Xw7vryonGlRoOhyk6XCANx/vIhZJuDwVlej5\np2+kcfTtgX7u//mMcPnFU2X0dst0tsbpbI3T1RLn6AE/f7uvh77usfkeiE5bSs7lTKXdVKJLu7B8\njmdIoLc5yLz6Rix5RaCp9NXswFuzffQDT2POLcS99hpaH3tg6k7yLESLGUNRHqaiAvR5ORiyM9Bl\nZSDoU5eY4lJE0I/PNSQne2GSSFGUGDlZ86dVuITrWgkdbsKQmbi3aKqKICbeh+i09LfTVC1plqec\ndqfTWYyoUQnNbh7yOHUMLnNTQah+6Mr055txBearGrLfnxArgojr6g0EDxxAUxRs1dVYq+cRbagn\nbe2V6KwWfDt24H3tVUr/7f/Rdv9vkLoStbrsixZjX7qcjj8kXP91VivuTTejd7sxpLkQ9HpiXR10\n//UvyIELN/7RnqZDbxDwehLXVH6Jkdq9I3+eVrtIJKASDasYTQKL19p5e2fi2dzWKJGZqycrz0B3\ne5z5l9morQlz/HCEj345C1emHq9HZtX1Dt7enRin8WiUjR9Kp+5AhJYGifxSI6HAgCu6K0uPt1vm\nhb/0keaefhlxSQkXx4rlpG1Yj2/rVoJ7anBddw3mygqiJwZWqBfk34TJ6ERWkq0A+5sfP7e7i4qG\nUzL1DTLlZYmvfNP1lhGFC8ALL0f7hQtARbmeJ/+axb2/8LPl1SjhsIbJJHDVWhNf+ScnWZnJD7Td\ne5P71zTobo7S3RztD8DXGwTyK20UzbNTXG3lOy8spaMhwr13vU1xmZ6HfxekZveFE3R4IXDPuyYZ\nCCcIiLbUCBd1HCtrY0V0zgiXC5Gcje8h0tZMx3N/Q9Dp0FtScw2lCp3Tjml2BaaKEozFBegzMy4Z\n68lImGaXonc5QNOQfUHip9pRoxO/p5oXzkJ4aceY4lsAtCFiLjTOb6xi5Fg7eZ+4FlNxJsbM4d1S\nfW8cIfcj6xDMBsLH2zD2hsZ03KXORBe0wnVHcd9wI8bsbGLt7QCYS8uQfX20/vqXCIKAaLWM0ksC\n17qrUcIhuh59BH2ai4LPfg7Po49e0KIFIC1Dz+f/Kx+TWUCRNTqaJbY8MbKbfENtlOaTMb7zQAnh\noMrh3WdZaSIqD/ygi6/+pJBAn8L+bQkXsqBX4Xf/08mXfliAThToapP4w/cTKay72+PklRh57k+9\nqIqGKMCpYwPJPD7+9Ryy8o0oca3f1Ww6uaSEi33VZXQ98GB/0Zy+5zdT8LWv0vqDH/W30evM7G38\ny5TcWO16F3nGKhwGNwbBSFyTCMq9tMdOEJCnPpjtxS1RPvuJhIvQuzZZ+NFP/UQiw7/Pl16O8sXP\nKBQVDrjt5OaIfP87LlQVevtUXC4BvW7w5ECKazw1hmB+V46JzEITmfkmMgvMhHwKfR0xrr7OgsUi\ncNN7zWTm6PozbLz60sTr6cyQQLRaUuaKpQRmLC6XAsaMLIwZ2bQ9+RBoGposEw8M+LFbS6twX341\ngijS+tgDKLHEQ85eUY17zQaUaIRY1/iCx8eCqbQQc3UVptkVGPJzZoTKWQgGPWmb1uE4XeH+DJqs\nEHrrAL6/vzaxOkeKQs6XbiOwtQa5uxctOtgKLp1V+DUa7SMvdxkdnfsAyMleRCw2fYkzPM/t6f+7\n54UBF6RT338cQSf2pxdv/U0iZrbtty8BED2VeA+dj25DkxKTM8njG3QcQNOPJl4u4Z2INs4Md2dQ\nQiHQQDAPLJgKokDfq6+CqqLBmLOnGXJyCOxJ1MeRfV5knxd9RgZx7/mPuRqJ1obYkFm6Olokvv7B\nge11ByJ8/wvNQGJR+Fffah+2z92vBtj96mDBdnh3mG/dNXRtq3s2DsTNfe/zzUn7fvzV81tc9JIS\nLh2/+S2alGwF6Pj1b5JedwbqWFV2J5G4L0m8HGiZXOaJInM1FdZl/R62GmAF0nSZFJhm0Rg5SEPk\n4KTGGI1Hnwj3C5fuHpW8XD31DcO7XsVljR//1M+9P0gftE8UIdM9vMvAXx6N4PEkZ7lyZBgoqrZR\nXG2nqNpOUbUVo+V0zMvbQbY93knNyz0AXHeTFVmBV19KTIAMM8UnU0aq4lsA1L7RgzDHS6oSB8yQ\nOozpmUi9XWiqimPWPDKvvB5NVWn8/U/QWW1kr99EyyP3I4eCZG+4ma4tzyAajGStv4mWR+8n7u0j\n66obUnIu+nQX1uULsC5biM49+N40QyJbXNY9H8JUUUi4phbFn1hl1TntmKqKsV+xFFNpPp0/fXjc\n6cyNxbkAuO/YNGybps9/v//v+saXqSy/gbKSqwHwB1o5fnL6AsWHRdPGVBPpjGgZ73GXMhNN2a53\nOkFIdjWTA4GRA3LPcM6ihdzbiym/gNDbh9DZ7egcDuK9PRM6rwsVnd1C1kc20PGbkYtPjgXXhiXY\nls2i9QePpODMppYLWrhkzh0+I5DB6hhxv+fIYN/rc0ULgOJPVqEFrkUcaX+BmJK6oONMYyGV1mX4\n5G4ao4cIyj1IagyjaMKud1NqXkCpZSEh1UfXFFZ27uhU2H8wzu8eDPLqa9Ex3Qte3BLlwYfD3HGb\ndczjHDoc596fDl5R++ZTS5CiCh31EToaIhx+s4/WYyHiZ6WOzK9KjPPSs2F0+kQA2ZnztFhnxEsq\n0GdlpKwveQqEi2i5OKtqv9M5U0E6cOww0c5WCm69E0jErkQ725BDicmx7XRBPENGJnLQ17/CGWqo\nw5g58fo85upK7FeuwlRRMmNZGQXH+pWYKgrxb96G7/k3kvYJOhHn9atxblyLc8NKfM+/Oa6+/Zvf\nGr3RWcRiAQ7X/g1BSATHa9rMpD9VpC1egc7mpHfbliH36+1OMjfcSLD2IMFjU5e19FwmmrLdNm8+\nSjCE5Okete3ZcUoAenuypd679RVy77wbc3k5qCq9L72I7H1nZSa1L6lEl2bDVJRNrLkLfboDQRAw\nleYgtfUgdSQ8eUwFmRjy3WhSHKk54aZvKssleqIV2ZfwmvBu2Yd1YXlS/8bcdEwluUidfcQaRy9s\nPV1c0MIld+m1w+4z2Fwj7j9buGR/9Ha6//rXfp/ctCvW4N++A01RyP7o7XT96aH+tt5wCxm2UiKy\nLylIr2MSwfnF5rlE1AAHAluSik5KaoxeqQ1fvIvlaZsoNM2ZUuECcNtd469J84N7faiaxh0ftiGO\nEpf52hsxvvr/9SHFh3ZBM5p1FM9NBOcz/IId/3LlLhYsMpGTr+PFZxIi8p6vpPHj//SmPPvupYYh\nJytlfSlTIFyYqS1ywRH39WFMz+R0jprkncP9IIXktpoysR+uZdFcHOvXJFzBZhgT1hXzkE61DRIt\nAJqi4nv+TcxzyrEsmztu4eJ99vUJndNQsS4zTA777AUYs7KHFS5y0I8pOxfRYJxe4aKM47vWiRjS\n07FWz8V1xTo8zz0zJguL5OnGOm8esc5ODK50bIsWoYQHXNSMuXnIfX10PvynpCLj7yQsC8roeex1\n7MuriDV3YZ1bjH3FHLwv7iHro9fQ/vOn0dnMZLxnDd6X9uJ+z1raf/4UWbdtwPfmIbLuvJ7O+55D\njQx2v9NZTWR+eD19L+zGkOGYES5jxVM7vpWd4TBXliOIOjROC5drNhDYtQdNUTBXJitMWUlc+Ba9\nMyVjA9h1btpjJ5JEy9komkyv1EqeqSplY6YSVYUf/NjPP16JcuftNq5cY8J4luuWFNfYuy/OHx8K\n8vq24f1Pv7lpfCkObQ6BcGjgBqaqYDQKxGIzymUy6HNTJ4qgixgAACAASURBVFymwuIyUxTxwiPm\n6UAJB3EtuQzvvp2nV88TRNtbyLrqBvQ2B3IoQPhUIjVmvNeD3uHCkOYi7vNiLS4frvthMVWUknH7\ne1P2Pi4V9JkugttGTs8ba2rHvmbJlJ+L2eyivCyxyHik9lGMRhvprgo6u6bWNfpSwJCeQaS5ccQ2\nsfZWzAWpLeY9KuNwpSv+yr+gShJSWxtdj/2NyMmx1STqfeE53DfejGPZSuJ9Pfjf2o5t0cD1rGka\npqIiir7yNQQhUXPMt+0N/Lt3jfvtXIjobGaMuRmYy3KxLiij58ltAAR3HyVcewrLvGIM6Q40VUEN\nx5B7A6hRCSUURbSasC+tQm+3YCrJJnK0eVD/SkRCCYSxzi/B94/pT/U9Ehf0DKFj70vTPmZDz1Sl\naBx5sn0xTMVr9kvU7JewWASKCvRkZYn09qrUN8pjEhORwPjMx/v3SPzHD9PJzddjd4gYdMyIlhRg\nSJFw0SQJxZf6IFvBcEHfli5ZOl94gqxr3kX6iitAkQk1JFKxKtEwXVueIe9dHwJRpO2JPwGJINru\nV54l/5bbUSLh/vZjQee047zpGqxL5k/Je3mno0Zj6Owju/fqbBa0CWQXs1++ENuqhegz0xD0Qyf5\naPn6QGHLyvIb6OjcR1HB5QBIUpj8vBUzwiUFiGYLcmDke7AcDiJaxpaJK1WMxcIR7+ul8T+/M2Kb\nUG0toWEKUsZaW2n77a+TtgVq9gJgzMnFvfFGWn56L0ow4cJqzM4h7+5PEti7B20sfvIXOLYllQR2\n1hJt6sJUmoupMPFc1+JnffYCSB19IArYFlXQ9eDLQELc+LePYoHTNDrvfwFTQSa5n7mJlv+5cGoG\nzcwQzsGos5DtnINBl+xn3+CZuPUnqPaRYcxHF9EPaXXRCXrcxnyCytRnFksFkYjGsRNxjo2/WPO4\nCAVV/t+Xe5m70EgsqnHk4PiCSC928m9dhiDqaH00hStEooguMzUxLnJnz/BuQpNgRrhcmEjeHlof\n+8OQ+8JN9YSbBhchC56oJXhiYOLRt2d0tyTLgmpcH7gJ0Wwate0MQyPVt2KZX4khO5141+AsSobs\nDCwLqogcGX/huIyP3IAWl4l39IwpJbJeb8LTc7RfuIA2uPrdDBNCk2LoLaMIVJMFTb606p/pbDY0\nTe0XUIJOh7m0FDngf0eIFgDrogq6fr8ZNRJDEARsy6qQPYM9IASdDlNxNoIgYszLwPPYG1gXlGMq\ny0M06ul6aAt6lx3nFfMx5mbgfu9avC/XIJqNpG9cgRqJEe+8sOaml8wMIe2aDUl+k+e+PsPcvBvw\nRzvIsJfiCZwgw1ZGX3iwGW08tEXrqLatYaFjPQ2RgwTlXmRNQi8YcegzKLUsxCo6eTv82qTGeaeh\n1wtIkkbNzumv4+JaXEzVv26i8b6tdL+SmHiV3bOBloe2EfdHRzl6bOgsRpTI8GKs7fG9KRnnbAzZ\n7pSlQo53jh5AORFmCgReoogirk0bsF152fk+k4se/4vbMM+tIPtLH8Nz36Mo/kQAri7NgXl2MfZ1\nK0AQCLwwvvgWgHhnL10/+TNKYGwJbBQljl4/IELTnEXIyqU1kZ4qYl3tWEorht0vGk1YSyuRujun\n8azOP5GGesJHDpP/iU8h6PRoqorU3kb3I38936eWMjp+8XT/35FjLUSOtSTt73ksEd+WcfPldP7+\nRWKNHbg2LMFSlU/Hb55FNBlQJRk0jXi3l54n3qTniYH7gRII0/3wKwh6Heo4Mw9ONZeEcAntP4Bo\nNAz5OrT/QFJbvc5EvWc7VmM6jT27aOqtYWHBzZMavyPWgE2XTrF5Lksc1wCJAlzC6eTIGlAf3ke3\nNDmB9E5j5WoTFpvAlhfOT+0W2RvGXpHTL1xsZZkp7d8xtwDv3kkWkxwnxuLClPUlT5FwQZzJGHWp\nIVrMuD/+QYylRef7VMaNJstosThaXEKT4v1/q7HTr8/8i8fRYlIijXPm1KZxlpo66PnDU2R8ZBPZ\nX/rooP1KKEzPfY8n1VsZK+Fdh8csWgAam15l/twPYzans3TR3eh0JmqPPTHucWcYjP/tfeQUl2PM\nyETqTU68Y3Clk3XdLYgWC4G3L6wYhSlH0+h7ZQt9rwydtOBSIlLXTNoV81GWVyEajfjfPAyAGht9\n8UBTlAsyscElIVx6nnx69Ean8QTrMemteEL1XF52F3EtRig6+dzfJ8M1nAyPLzh9OMquKiLSFyV/\nWQ71rzRTvqGYg3+uRY5OfwXTqaS9TeHf/8vFjbdYkU7Htnzjn6bPZBk42o59bj46sxFHdS6BI6eL\nLgmw8N7baHpwG96aRBa4vFuWYqvM5sT/JoqYFX54FaZMB/W/Stw47VU5hOs9KGfdLEyZI9crKf7Y\nGkSDnsb7ky1x7rWzKPrIKk78+CWCJzoxuqwIRj2xztED5R3XXznm9z8imkZoR2qu53NRI6mxaM1w\n4SParGR9+iPo86Y3Y5gSDCG3dRJv7SDe0YXs6UPu6UWdYOG88WAsL5ly4QIQOXiM1oNjjysaK5al\nc/C/smtMbmIAgUAb+w8+kPLzGCuCTqTs11+m+3fPE9gx4NfvWDWXrLtvpOEzPx5XFiydzYwmq9O6\nCu3adDmOy6tp/vffJ20PHn2b4NHDFH/88xhcyS7AcsCHr2YXbY8+OOOad5GjE/SszHkftX1b8cbG\nl91rKGvMxc4lIVzGQ+Pp4PwOXy3+SDt60Yw/euGkgQPoOe5lxWcXEvHF8Db6MFoNqPI778bUcCLO\n3R+colX9sSAIhE52YqvIwlaZQ/DYaXO7Bl0vHyHzqjn9wsW9ppKWvw7EokjdATIur8S1vAzvnkYC\ntcNXtR0vWeur6Xj2AMHjietS6htb9XpDthudMzVV6WVPD+o5gb3GTCeCSU+sdXLicqLFy86l8/u/\nQAmM7bOZYfoRdDrcd31g2kSL0ucjdqIR/0uvoXinr3L7Ow5FIedLtxHYWoPc3YsWHfx7PduSYzBY\nKCpcg9NeAIA/2Epzyzbi8fNjSZ8s7g9vILS3jtC+KQ7yHDMaTb//GXqbHZ3dAYKAEgohB6YgVf0M\nKcNmSGdlzvvoi7Wxv/u5/u1Ls99FmjGHXZ2PEYonx6dpF0Uap6lnRricxmUtxBduTbowwtL0FSsy\nimayDKW0xo6O2tbfGuCN/9mNFEqs+Lz9aN07UricTVmlgSvWm3nwvsDojVNI6Fgntsoc7FU5eF4f\nWL30bK0l/9ZlGJwW9GkW9E4Lvv0DNXi6/nEYORwj98ZFlN51BR3PH6TjmX1o6uRvPMZMB7Gu8U+8\njJWlkx77DNKp1kHbNFkhY+NiTFlpBA404ttxDCU8/viksa7kjoogjrsq+AzTR9ot12EsSZ3r4lAo\nPX1EDtYS2X8Eqe3CWoC6WDEW5wLgvmP4QlxNn/9+/9+zKm8mGGznRMOLCAhkpFcyq/JdHK698Ct0\nD0IQsFYXE9pbN80Dj/7ckEPB/iKwM1wcxNUodoO7/7WAgN3gRj0niZOiybzV8c6Jz5ksM8LlNBWZ\nazDpHfSE6ukKnMAbaZnWgllWnYtZtuVjEi4AqBqu4jRIUThAXq6OuXMMzK4yUFGuw+EQcdpFbDYB\nVYVQWCMYVPH5VY7Xy9TVxamtk+nqnjr/x/IqA+s2mFm5xkzDiTgv/H36V+gCxzooeP+KhFjo9GFw\nJrLNyaEYfbvqca+tQu+04Nl6dJAo6d1+gt7tJ7CWuKn88kbivgierWeldpxgRq54bxBT5vgtJ6bK\nsgmNNxSxE4MLpca9IToeeh1BJ+K+bjGzfnAH/gMNdD+1C6l7HEIrRRaXs+PaUknJBz+D6XQFeFWK\nceK3/zMl44yHvI0fwOzOpuHPPz/fpzImrEsXYLt82dR0rmnEjtUTeGMnsbrxZ816p2CaXYpz/UpM\nVSUjPidavvTDcfXr3zy+DJtGg41TzQOFMAPBdpYsvGtcfUwHxpx0XDevxjKrENFhQfGG8L9xEO/z\nCS+M/K99GFNxFoLJSM497+4/zvv8DnqfTAQ1i1YTpf/3BZq+fh8Z71qNbVmiNptvSw29TyXqbNhX\nVpO+6TL02S7k3gCB1w/ifXnvQLIgQSD95stJu2oxgslA+GD9kJnhZrj4iatRdIIRiz6NiOzDZkxH\nViUujgIZ548Z4XKavU2PYNLbyLCXUuhayJyca+iLnKIrcJK+cNOUixi9MPZJVlqhg5VfWEJP3YBL\nTs3vx28WznTr2LTRzLs2WamePbFL4b9/6Oe5zRH6vKn9fP79v9PJcIv89mcBentUTh6XeXv/9GcX\nizT14JiVS6Bu8Gpt14tvU3znWnQ2Eyd+tDlpX9r8QiJtfUi9ISRPEDkQRdQlzx6kvhB6mwk5FEPQ\n69DGWLTL83od+bcuJ3C0nVBjN3q7GWOGnfApz7DHiCYT5urhs8+Ml9jJwcJFNOpxXlZF2tJyYm19\nnPz2I6Bq5N52BU0/e37MfWtSaiwugml86XTL7vhnDI60xDnICnLQR7DxGD17tqLGBq695id+j85s\nxb1qA/bSC7No7IWMaLOS9u7rp6Tv2MlG/H//xyVvXTHPrSDr0+877TYUhhRYes/gffb1cbUPhruw\nWDKIRBLPK5s1i1C4K2XnM1Z0dguGzLSk12ejRiVkb4DO3z6H4gtiriwk62PX9QuXjv97HMGgo+Te\nz9H12+cIHzgJDF2zJOfTNxPcWYt38y5EpxXOiqHJ+ug1dD/0D6TGDvS56WTfcT3odXif2wGA4/J5\nuG5YSc9DW4iebMUyr5SMW69A7h3e20DQ6TC63AgmE0ooQNw3fd4iM0wcnWAkIHXhNLqJyD4chiz8\nUicuU15Su6sLPwnAQc+L9ESbBvVTaJ9HgX0uZp0DWZMIxXs55t1OOD5wHeRYKyhxLsGic9Lg30Nz\n4FC/h5FBNLE2/w62d/yFcsdSMi2JRc6W0GEafHtwGDNZnv0ednc9QVAaiPm2G92syH4vr7b8NuWf\nzUjMCJeziMkh2r2HafceRifocVmLyE+bT3XudWw7ed+Ujq0Xxv5VpBU7OPTXo3Tsm9jN32QUuOsO\nO5+6y4bZPDmTzb/9i5N//pyDX98f5MGHQ0jx1Dwgf/oDH2vXmXn/R20Ul+rZ8kKE+uNxwqHpdYnT\nVI1wUw/B44PTSYYaEn7cSiBKtCP5QWGbnUPZ5zcgmo1oUYneXfV0v5ZsTfPWnGLJb+9ClWRa/7ar\nP3tZ6SfX4ZhbgCHdiiAIOOYVED7l4eRPEgVZu1+tRTTqKf/CNRgy7KhRifanakYULuYFc1KWZljp\n6UPxDhbKxlwXxBWafrE5SYT5d4/PF1zxp8YdUJhAHZBoRwu9NdvRmUyYcwtJX3wZxowsWp95qL+N\nGpcS/2IXp4/++cZ5w9WIFvPoDceBGonifeJ5IvtHKap2iZC2cTUAfY++RPCNqUmiMVbMJhdLFn2C\nWMyHIAiYTE4ikT6WLrobEKg5cP+0nEfGB68m44NXD7tf9oXofWxAlMW7vKRds7T/tRqTENTEc1qL\nx0cMzo8cPYXvldOfe0dyzJ/v1f0Edybu9VJnH77XD5B25cJ+4eK8ejGh3XX4tx1KtOnoxTK3FEOO\na8ixdGYrJZ/6EoI+cW7evW/R81riWWHKyiVt2Sp8+3cT6xjs3jvD+UUUdPjjHuzGLDrD9TgMmfil\nLjLMyS60r7c+wJUFdw7Zh8uUR0XaZRzu2UJI7sOos5BuykdSBjL/ZZgLmeVayzHvNvxSN0uzbkYQ\ndJzy70vqa17GejrDJzgVPIhRNPcLm4DkwSd1km+dwzFpW3/7XOssQvL0WwNnhMs5iIIOl7UQt62M\ndFshkZiPk91vjH7gWVyVcfsUnV2CnhNeVn1hCbZMK6qUmCA2vDa2VMqzKg389H/TKS5MTS0PAKtV\n4MtfdPCeW6x88at9nKyfvKuP36vy/NNhnn86jDNNZPWVZr72rTT+42vT8yPx7m/Cuz+xsnH0u3/v\n3z6ohotOpHvL24OOb3t876h1WDRFpebjvxu0vfG3o9Tz0aBz8yE6Nx8aud1ZWJemrgJ5tO7k0Nub\nPESbPAiigKATgcR79O4YX2YjOUWB07q0kbO2DUU8FCDYkJhU+I7uR9AZcM5ZgGgwosZn4mUmi7Eg\nF9vKxSntM97cTu+fHkfum1llPoOhIIdobX1KRIt5bjnSqfYxZVwTbRaMJXlEzypseaJ+8whHTB/d\nf3ihXzAA2C+rJuuuG/pfiyYjadcux7q4HIPbCYKIaDFOaKxo/fDJWFw3XIbrhsG1igSdDk1RMOak\nE9qZXC1eavcMKVx0ZisFt90NQLy3B0OGO2l/3NeHfdY8NFmm+x0kXBZ9sIoDjxxP2qYziFRuKKJu\n82BvgAsVAfDHuih1Ju6JDlMWXd7Bz9eRgvJ1ggHQkNQwEdlPRPbjiyUvtJY6l9IaOkJnOLGI2Bau\npcA6Z5Bw8cbaaA0mFn/OTXjeFjxClWsNJ327ULQ4AiI5lgqagwfH96ZTwIxwOU1uWjVuWzlplnz8\nkTa6gydp8LyFrI7fPUkAomqIuDb2Yw2CCbNoG1NbTdVofD1xExKN4xMgf/69G5ttaupklJXo+MsD\nbu76dC+Ha1M3yfP7VDY/E2bzM2OvHTClCIAG7tVVmNKt9Gy/ULLLDI3O6cCUwsD8yJGhhYghw0Hx\nF29EZzES7wshmPTUf/tv4+5fHcKaMxH0rqFXKMeDEg2jqaCp44vlEo0mXPNX4KiYizEjG8nnoW/f\nW/jrkutGmdy5uFddjTmnEJ3RhBwOEe1opmfnFiRfQqTn3/gh1EiI0KkTuC9bjyAK9Ox+Df+xZOGq\nKQr2stm4L7saoysTORwkcPwQPbu2Jrmz6O1OMlddg62kEtFgpO2FRwidSkwCLHnF5G38AF1bnyVn\nw7tQggFan/sLmZdfg62kimB9LR2vPI3BnkbZR79I17aX8B7YkXQesz73Ldqe/yvBhsEBzPb1a0FI\n3f1Hqj+F5/ePzCRhOAdN1Yh7UiPksu95P57fPUV43+gB6eaqYjI/8e6k4PxIZPLlBFKCqiWnPT7H\nfS774zdgyHfT/eCLxE51oUlxCr85uAbOWBjW3VUQ6H1qG8Htgxe7klzOzo1/HMaNOP3ydRhcGTT8\n7HuocYmKL38rab8qxYi2NWMpLB3P6V/wLHhv+SDhosRVlt85+6ISLgCBuAebwY0o6LDq0ghIw3tO\nDEVvtJn2UB1Ls9+FX+qmPXSMzvCJpAB/mz6dNGMOJY7kRSNBEJPCIPyx4bO4dkUaqEhbRY61grbQ\nUdzmIgw6c78Ymk5mhMtp3NYyugPHOdrxEoo6eYvBycg+umKNY26fYypjrm3NmNqGPRGa3mwha14m\nckSm68jYLvSsTN2IoqWpReFoXZxTTQodnQqRiEokoqHTCZjNAlarQF6ujpJiHdWzjeTlioP6sNsE\nfvV/6bz3wx48PRde4aJUkL6ynLLPrCfeF+LET14ec2zK+cK6ZF7KJotqTEIaIr4FwDYrj66ndmEp\ny6bryZ3kfuj0JHWcSQhSZXERXRNP/SwajJhzCnDOWYT34M5xF+HSZBlbSSWhphP01rxB+pI15G64\nhVhvJ7HuRPyFoNNT+O47iHk66Nr6LJoqY0hzYyuuRI4mi3Rr6WzMOYX07nsTe8U8cq99L3I4SLhl\noICpzuYge91N9Na8Sdzfh62wnIyla1FjMXprEsHDOpOFovd+HFQFz/aXUaIRCjZ9mNbnHiZ0KvEA\n0lttOGYtoGvrs2RfdTOF7/4YoYY6PDtfIfuKjfiPHiDc2kCwsY70+csHCRc5FOwXQmejS3NimT9r\nXJ/jSEinWvDc/9f+9Nkbbs+j+WiYlmMhPvrtCh75XgPeLglXroniOVYaD4bw90qUzLPT1yFRONtK\n3S4fiqyRWWAiv8rKyX0BQj4ZV7YRRIGiWVY6GyN0NSUsrVlFZopm2+huidJ8dIKptqehvmq8tRNj\nQerSTItWy+iNhmlnt+cSCnWjaQpORwEOewFdnkMXXDpky4JSeh9/g+jxxKKgYNBjyDxn8UPVQNMQ\nxMHPvjGhaZjyM/D2De8OK3X1YSzKTtpmzBu6+LGtcjbRtpYRrcFywIcpN39i53sRYXIY0Zkuvimt\nrMaIqxGyLCWEFR+KNr4YTw2NY97tnAoeJM86izLnUkocC6npfgZJiSAgoBMNNPj30B5KXnQ8N3Z7\npLFVTaE9fJR8ezVtoaPk2qrojbYQU6Z/Qfni+5aniMPtYw8eHgtxdXxF9GRt7CuGJqeJ1V9aRseB\nLgw2AxXXlfDWvSO7JQF846vOQdu8Po0HHw7xwosRTjWP7wdTUW7g4T+4cdiTn8SZbpFvfNXBV77x\nznTd6NtZT9/OiyRbkShiW7MiZd3Fjp4YVqhJPQFMBRlI3X7c1y3GUpyFoBfR4uOb9KuhMJocn3RM\njt41+HofDUdFNY7PJVYtVUnCs+vVQRPzsaCpCs1PPtD/OtrVTtkd/4S1oKxfuBjsDnRmC4G6gwTr\nz7iGHB9yPL3VRuOTDyB5PfjrDlJ2+xfJWH5lsnAxW2h5+sH+baHGY5jzirCVzuoXLulLVqO3OTn1\n8M/6LTpSbzfulVf3CxcA76HdRNoasZXNwV46i65tL4GmknnZeozpmYRbG/Ae3EXhLXdgLSzrH1M0\nGPHX7UdTB8ei2S9fChOd8J2DEgjR+6fHh6z5E/bL7HnBw5zL0ji228+Nnypg57MePvCvpTz0nZNk\nFpq59cslHNjai8Wuo70+wvrbctn1Qg8f+tcyHvpOPVXLnSxen8HWv3Tyvq+W8vtvHEcQBd79zyW8\n+ud2XDnGCQsXYYqy3Z2N/8XtZH3m/TiuXkHg1d2T7s+2ch6GPPeo7YxFuYO2zaq8iQMH/4jOYGFW\n1c309NRRVXkTR2ofnfR5pRK524dlbimhvccQzUbSb1kNuuTrVVMU4t1e7JfPQ2rtBi1RgVz2jj0N\nsW35bNLbewnVJK4pQ34mgk4g8FbCRSfw2kHct63HcayFWH0b5lmFWKqLkf2Drzed1UG4fvAiQRKq\niiC+c6Z66766BKPdwKbvr07anlZoo3nnxZmUwy95yLdV449NPGlFTA7S6K+hOXCIy3LfT661iqbA\nQTQ0gvEerPp0Ysrk6pq1BmspdizGZcrFbS7maN/WSfU3Ud45V/MFxLHQHkLK+Cbt41HZuQsyOfrM\nSdprEn6Myz+9CJ1RhyINP0EsK9Oz8drkgNjnNkf41n/5CIcnFlB/sj7Ohk1dfPf/pXH9Ncl9b7zW\nws9/E6ShMUU1OaaZ3OxFVJRdz449P0FRJArzVlFafCVv7vzBpPo1GCzMrbqVA0ceGr1xCrAunY8u\nPW30hmMkvO/w8PtOtBM91Y0aV0i/opquv+8at2g5g9LnQ5819CrjWNHnZI/e6BzOBOeLBgPm7Hyy\nVm3A6HDR9ebk/PTjAS+aLKMzW/u3ST4vkbZTZK/bhDmnAN/R/UQ7h/ZDl8MhJO9py6qmEW4+iaMq\nOW5JlaQkIQMgeXux5A4EeloLy5F6OvpFC0CkvYm0+cv6g3sBlFDCXU+NRogHvP2Vt1UphmBITLzD\nLQ1IfR7S5q/oH9dRORd/bbLf9BksyxYM/wGNE++jz6L4hl+1VmQNs0Nk7loXFoeeBevSsaXpKaiy\nse8fPcxe6eToDh9Vy5y4801se6KLhreD5JRYKF+UsNTtf6WX43t9zFrhwJVtpLMxQqhPYvZKJ9se\nn/gE4+zPOVWk3bg26bWmqESPn8L1ng3oczLRAqFhM2P6nn9z1P5NFYWYKiZWc0dTFRQ1TkH2Strb\n99LavvuCTIfc9cBmsm6/lqLvfQLVH8b70h5k3+DV5O4/bCbztg0UfOtjqMEIvU++SWD78PfFc+n4\nxVOkb7oc16bLQFaQOvvwPj9QvNj/5iH0mU7c71+HYNQT3n8Cz19fwXXj4LgYNRJC70ofcTxjVg6y\n/52ziPjWLw9RsjqPhu1nxRFpEOmJcmrHxSlcAlIXua7VtIWGLochCmLS/2eTZSlDLxoJxj3IahyH\nwY1eNBGWBzwXGn01zM+8lrDspTvSgN2QgYBIR3gU0XsOMSWEJ9JIpetyFE2mOzI4w9l0cNELl9XO\n9wIa2/1Pjtp2gfVK3IYCdgT+TlSduoraY67FchZ+2cNO3zNjattb72PRR+ciR2QMNgOWdPOIogXg\npo3JJvzHnorwze9O/mYWDKp86et9fPebLm69ZWAMQYCbb7Tw019Ob8HIVBKL+bDbcvD5m3HYc5Hi\nky/uFY9Hpk20IAg41q8evd0YUcMRYnUj+LNqIOh12Cpy6Xv9CIJh4gkg4m1dkxYuos2CzpU2ZAa0\nYcc9Kzjff+wg8aCPrDXXEThZS6R9PL7TAmlzl+ConIc5twhBp0cQz/UR0mh5+k+kzV2Ca/4K0uYv\nJ9bTiWfHFkKNyQ8UNZrsVqPEIohGE4JOj6YkFgeUyFDXp5bkJqizWDE4Xcz63LcGtdQZBxYf+mMB\nNA1NHn7xwXtoN1lrN6K3OZBDAZxzFuOr3T+onSE3C50rNQI6WnucaO3ID9x5a11s/UsHBbOs7NvS\ny57Nye60mnJ6sUaAaEjFbE88Ci12kWhYwZ6hR44lT/Q1DR7+zwZyyyx89DsV/OyzyQHUY2Uq6gs5\nN64ddp999aIRjx2LcPH/YyfhnaNPzq0r5+G8NnmCraFht+eSmTWPQ4ceBEAQU5ccZjQ0RaX+kz8a\ntD2w4wiBHQNZ6GINHbR890+j9hc90UrLdx4ccp8ajg051tmED9YTPjiCxV7T6H3yzf7aMP3nO4Q4\nCjccxzF/ybBdOaoXYsotoG/X6N/xxYIUlump93Hk6YbRG18kBOKJ2BKfNHhBpCxtOaWOxHc8330t\nmqYSkvvY3fkEkHD3KrTPw6xzIAoiUSVAvW83nkhjfx+e6CkOeV6ixLmYEscignIfTf4Dg8YaC63B\nIyzO2kRbsHZQoczp4qIXLlE1iFPnRifoR7VaGEULMPJeigAAIABJREFUGiox9QIJ8j4LVVMIK2Ob\nYAXagxx+7BhFl+cRD8fZ+fOhVzjPZuWygewo7R0q//3D1ARAn+E/v+/j8pUm8vMGVgTOHvNiJBzp\nwW5NCBejwU48nrhu0l3llBZegSCIhCM9nGh8EVmOkZO1AJezmLqTzwGg15tZtvAT7N7/a1RVJjtz\nHrlZizBbXOyq+WX/OE57PqVFV6HTGZCVGMfrNxONJUSlO72K4oLVCIIIgsjxk88RCI1tVcmycM6k\nJ/9nEzlYO2I8j8Flo+DuDegcFk7+xyPk33k1rfdvmVChzXhLO5ZFcydzuolzys8Zl3A5l2hXYlXP\n5M4al3DJWn0NrkWX07vndTq2PIUqS1Te/fVB7TRVwfv2Hrxv78GUnUfmiqsp2PRhmp94gEj7wGqW\naEq2aOrMVhQp2i9aEp2N/jmrsQix7gjd214etE+JRRjvlNpfd4DMVRtwVi8hUHcQS37xkO1Ms1JX\nQyiweeuw+66+LZfV78mibqef1uNhupuifPDfyiiutmEwiTz+41PIUrIg2b3Zw61fKWH2Sicmq47G\nQ21kFg5OpZ2RZ2L97XlEgwpdp8bnCnw2whjjRcZD75/Gtug1UeLtPUjtwwfunsHQMTjesqllGxWl\n19LSsp24HMVkdBCJvnMsAOeT3h2vY6ucQ+7NHyDamrhfGNLduJauwlxUhq1iFnLAh2/P9vN8pqll\ny3f3nO9TmDSheB9vtCUEsC/WlVQL5fXWB/r/bvDtocE3/Pv1RE/hiY7+bOqJNg1ZAwYgrsbGXItF\nIfHM6YiMz1qTSi564RJREsLFLNpHdc8yCRZiamTE1HIXC331XvrqE+/XkjF6TYTSkoEpydPPhYlG\nU/sZxGIaTzwd5vOfGUhBW1Y69b7cU0ko1IndlovBYEGKh7Do0jEarFSWXceBw39CkkLk5y6nrOhq\njjdsxtNbR2nROnQ6I4oikemeQ0/fcVQ18UPv8hzG629k8fyP9Y8hinoqSq/l0NG/IssxMjPmUFF2\nDYePPgZAYf5lHG94kWCoA51oQB1rIVRBwLF++FXYiRDeMXJqVWtVHp4X9uFYnpikqjEZ0ahHjY0/\n2YXUMnw60fFgLMghOkwWtLFwxs0qHhxfwgBb6Wwi7afo2b0VAFN23qgJEmJd7bRt/htVn/43zHlF\nScJFb7NjSs8k1ucBQcRaWE6sa/yfUaj5JGnzEpYdJTr5BRxVihE4dpC02YtAVVCloWP1zLPKJj0W\ngNTYjNQ2uKYSwJaH2tnyUPJnIsVU/vStkxjNInFJPePxxl/+O7Fa23o88Rk89B8nMZhE4qetLLuf\nH5iAP/frlv6/n7z3FHq9SCw6MRdIwWQcc6D7eAjtHrur0nhRAmEU/9iszYo/hBJIvq56e4/T2zsw\nyYlJAWpP399mmBxywEfrIw9QdOc92KqqAbCVz8JWnkiCEetso/O5x1CiF1YihMkS9U1/MeoZEmRb\nKgjJfYNSLk8nF71wiaoJVySzaBtRuAgIGEQzPnn0VaPzgUm0km+qoiEyfvPdnJsr2PfHkR9caWd5\naezeMzWpQ/fuS+7X6ZiG9DlTiCSHcDjysdvyCATbsFgysNvzCQY7kaSEq6Gn5wiFC+6EBlAUCa+v\nAXd6FV2ew2S759HYvHXEMWyWTCzmDBZW39a/LXaWS1p75z5mV95Mt+cInd0HiEljm0DY16zAkJ+6\nrEJSUytS68iWnkh9JzkfXIPOasK1thq90zoh0QIJiwuaNulsaMaKEnh57HWYDDYH9rJqRIMeU1Y+\nrgUriHk6CTeddpETRHRGE6LJhGiyAAJGVyaqFE1YQE67VcV6OrAVV+KomoeoN5G+6DKUWPIqva2k\nkrS5ywg3nSAe9CGIeuwVCStTpLUxqa0iRcnfdBu9e9/EVj4bg9NF56t/Z7z01WzHUTGPovfciffA\nDuJBP7aSKpRYhJ5dW8fdH4D30C7S5i8nbe5SAseGri2kzxt/vNFQhHYNdkMbC1J0dMEfj43eRpE1\nlElkEdSnMN5sumj9xs/G3DZa2zCu9jNMHqm3m9a//RFLUQkGuxMEATkYINLcSKT5neNONRau/PJi\nXv/xxO4RMwyPTjBg1FmwG9zk2+ZQ1/f66AdNIRe9cIloiYmcRRy52JxRNCMgEFUHJn5Gwcw86xqs\nOhd6QY+syYSUPlql43THBxd0tOrSWGm/kfroAZpiR8gzVlJgrMIiOlBRCCte9oW2TOh9WHROSi0L\nRhUuyz65kJYdbSy8fS7q6cBnZ6FzVOGiKsBpt+LO7qmpPt91TvpjdQIuQhcaihzF5Syh13uC7Kz5\no7rjdHoOU5i3El+gBYPBij8wStEvAaIxHzWH/jDk7i7PYfq8J8nOXMDCuR+h7uSzo/apczlxbLxq\n5HHHSWj76KZ5qSdA56PbcSwuRxAFWu97acLjqdEYiqcXXdbomYxGwlhShGAyjrnOhzm3kPwbP4Cm\nasiBPryHdtO757X+LFmuhSvJXnt90jGlH/kckCj21vDQTwHofvNFhCt1ZF91E1JPN+2vPEXG0iuS\njov7vAh6A+5VG9CZzChSFKmni9bn/zIoSD/e14v34A7cK9YB0PHyE4MC8ceCEovQ9Nj9ZF52Nekr\n1qG3Ooi0NtC3/61x93WGWG834dZGrAWleF8cvJIumk3onBNPTZ001rGRs/mtuq2UHQ839r++/CNl\nvPXniU3eFmzMQ5Y0al8ZLNiv/kwVr/56/K4SuvTJ1xa62NDrTZQWryfdVQ6A19dIY9MrF1w65IuZ\naEsj0ZbG830a552c+ZN7XswwNA6jm4WZG1FUmebAATrDQxehni4ueuFyRoiYhYHijcWmasrNi+mN\nt3MwvBUAk2A93X4gKL/AWIVNl05I6SOmRbGIDlz6HFz6HI5GdtAhDf3AMwpmKs1LyTdV4pM9hOI+\nrDoHTn3WhN+HXhibW9Xe3x4kf1kuNb87RM+xRGagJXfOG/W4Pq9GTnZi9XqqsnGajcmr417vxS9c\nAsEOCvJWcKolEdwYCLVRXnoNJqOdmBQk0z0Xr7exv73Xd4rKsuvIy15EV/fgImPnEgr3oNebSXMW\n4fM3AwJGo7XfonNmnNaO3RiNNhz2glGFi+uW6xFNqYsvUvx+IgdGD0QW9CLxngA9L6dmxSva0Ixt\nksJF0OswlZeMGswN0PDgT0Zt4z2wY0zpkeVQgLYXHkna1r45uRin5PXQ+szYEjWIej3+Y4cGFZ0c\nru8zdLz8xKBtSjRM52vPwWvPDdoXaW/i2C++3f/63Gxq9X/88dAnqKrEPB3Euge7r+mzUxNnJXd2\nj5hJDCCrfGABSxQFMgoTblmufAs5lQ6aDniJ+CSyyhLt0vIsNOzyoMgaGUVWcmY56WsJ01GXcA00\nWkRmrc3GcypIb3PCBapshZsTbw1Y7tNyzGRXOWk/6iPoGdmFxVg0PfU0XJuuJHK0gdjJwQtwZ7As\nmg1A5MDohSUnQ0X5RgKBVk41v4YAZGbOpbJ8I7V1oyfUSTXWqjzS1y9E0OvwbaslsH/qLRI6uxmd\nxYTUndq40ouJ8nI99fWTD+ReeXf1iPtt7tHd5mcYP95YR1LczfkmNUn1zyMRdbDFJV2fh6IppOmz\nEE+bGYxi4gEW1QaES6t0jO3+J9gX2sKR8Db2BjdzMpqYdBUZh/+BZBtKyDDksSvwHAdCr1Ab2c7e\n4IvsCDwNgEm0YBQHfkAGwTjqP6Mwdr/ntr0d/aIF4Nhzo9cUOX5ywGUnI2NqvvbMzOR+T6TgRnW+\nCYbakaQA6umipPF4hBMNL1I9670sWXAnaY4iGppfPesIDU9PLfk5y+jqSbaCza64iTmV70avtzJ/\nzgcoLVqHqsapPfYEJYVXsnTBXSxdcBcZaQOBzBVlG1m68G6WLLgTqzWTLs/QE9ezMc+fnZL3fobg\n1p0jZpY6g2NhKWmrUjf2WMTGWDDPS13Rw/NGCqvNpxpTeibWwjK8B4euF6Jzp8bKEO8YPQWxpmqY\nnQbu+NUKrBlGfF1RsiscrL2rAikkc+PXEvf1W761gOIl6ZisOjQVTHYDGz4/m3BvDGf2wL179roc\npLDM9V+eg8mWWOeLBGTW3lne32bdp6uQIzI3fWMeBtPI2bKMJQUTeevjxnH9akzlI6cvtiysIu1d\n66b8XKzmDNra9xCPh5HiYdra92A2Tb/lyZDhIOf9a2j/46u0/OJ5QkcSos6Y48K5ohK93dzfzuh2\n4lxWgSkvkWpYZzXhXFaBrboI4XRtF6PbmTjOZUs+bmkFBldiPqK3m8m4djGuK+biWFKW8uKjmeuu\nx5STl9pOp4Bb32PhJ/e6eN+tlkF138bDvFvKsWRYhv13Ad8mZ0ghF73FJaZGUDQZ82nhIgo60nSZ\ndMZPkWcsJ02fRZ/cgUkcbHGRtMGrYy2xOsrNC7HqhndtMIpmjoS2D0qpHFMTpu/lzptQkXnLm1hR\nWpv+gcm9yXM58+M8bdAIdY9ucn9rh8TayxOZcpYuMrJ9R+qD21atSM7Es2PXxRtA19E14LK37+0/\nAlBz8HdAwtVhv69x2GMbm9+gsXlwXEXdyWeHbB8IdXDwyJ+H3HekbnxBrPqM1E8IQjtHDso/g9Tt\nx1Y9sVoPQxE73oAmy5Oue2FZWI3v6RfR4he/kL5QEE0mLLnFiAYD7hVXIfV2468b2s1VNA/O0DUR\n5K6eUduEeiWqr8qh83iQ0qUZ+DqiVK7JZN9TLbQe9pJRmnhOhPpi7H1iwBohheKEvRKly93UPDmw\nvfaVDhpreilZloEj20ysIUjHUR+yNGBNPrGtm4a9vRQsdJFVYaftyDAr64KAofDCmWSqkeiEirSO\nF01TMRrtSKfj84xG+7A1ZaYS++Iy+l4/jBpNuI2qkoy5OAv3jcvwvVlL/ievo+WXm7HNKyLtsll4\nnq8h784NNP34aYq+eBO9Ww5gyHSgHdUwZqWR/b7V9L32Nvl3X0PrrxLH2ReW4n3tMAWfvp6me59G\nMBrQWYzI/ghqdGLxfiORtmwVactW0bv9VYJHDxH39o1+0Hngh/8bQK+HD33IypNPZPLmmzHuuz9E\nW9v44sUCXRFe++Hwz6OcuRsme6ozXARc9MIFEmLkjDBJ02UhCjo64vVkGYpI1+cmhAsJi0ZEHTm4\nWUMlrsYwihYERDQG32BlLY5XHj6jwlD7QqqXmDK8wDDpLNjEsU06C1fmIkcUOg4m3BWW3jWf/Q8d\nQY0P/zB4ZnOEf/6CHYNe4PprzPzytwGGKG49Yf5/9t47vK7qyt9/T7m9qjdbsootuYE7tjHYxnQD\npiZACCFtUshk0ib5ZTLpM8mkzGRC+CaTDhOGhEDABEwztgkuwca9yUXN6l2311N+f1xbsizJalfF\nRi+PHqxz9tl7S/fonL32WuuzTCaBW27s8RqpKrz0ylQM83gimIykPXJf0vvVY0N/4aZeNw/nkpJu\nD03NDzeOfNxojGhFDeaykhH3ASBazJjnziJ88PjgjacYErLFTvYNdyMIIuGmOlrffhld638RIpqS\nY7ionsFrQnkawhQtT+PNn53k1q/MYeeT1ZhsMiZ7whNisiX+f77hAYnUtU3fP0ZGoZ0N35zPU/+4\nt0+7gTZzTdbEa9RkkYmHB16ImWZMGxNFsZEimk3duVtjyZm67Vwx74MEz8q4W21ZVFaNrqDrSBBN\nMvELFM8ci4ro2nKI0OkmjLmpWMsSoXze3acIHq/FPm861pm5BI7U4Hu3p4aVfUEhktWEY3EJkt2C\nuSARJh44UEXg6BmspbmY8tMJVzQTbfagdPkJlteTbNpe/yu2srmkrlxL6sq1RJrqCZQfIXDyGGp4\n7GrVDZc7bjezdrWZqhqFhx/pRNPgi5938M9fGZ4s9q7HD1/0fPupKZnt9wKXheES1vzYJBeSIJ8N\nE4vjUzrwKm2kyjlUcRCTaENHI6b1XkyXWa7CJrkxChYkQUYUJMRBIugGK155LNBXcaEmfITW6MBa\n21mmQubYrr5ovwD2bBtpM1NR4xqyRUIQBFJnXbxyLkB7u8ofng7xkYdtFBfJ3H+vjaf/nLwH22c/\n5SA7q+f39uwLIZpbRq6+M8XwSbnvduSc5CmJAcOqgRKpa+f0/5fc4pqR46dGbbgA2JYuSKrhIhlN\npM9fhdGZRri9gfYjO0fdZ/bSG2l+t6+gQeMrfxr02qzF1+OtPkqkc3wqR8c8HVT+5gdDaisYk5Nv\npcUG9+B6GkMo0RS8zRFMVgO+5jAtFQFu+kIphUvTMFr7D+VyZ1u46sEZRIMKnXUDPxedmWYW3JFH\nWr6Vaz9WzP4X6ilankZqvhVbmpG26oE3xsxzkxvCeSGCoffrXBCFPscABEnCVDId64Iy4i2De7FG\nS5enisNHnsRuzwN0/IHXhpSY310EdTRIPZ93pKYV57JZvQwQLRxDtCYMa8lqRAvHwGlFj/e8u7RY\nHMnS2/jWIjG875zEs7Mn9899zRwEc+JeF00GtOhZD28S1BEHwnfsAL5jB3BduQR76TzMefmYc6aR\ntuZmwmcqCZw4TLDiJFp8bJREh0osBl/+qpd4vGcjYMvW4ddCajzYt07Q+Wz9/r5h9znFpYeg65ND\n+ikvb+Sxv3mmmcw0L+FQcBtX2NZQGTlAffQkVtHJMsd6ysN/Z4ZpHhEtxKHgVgAyDfnMsV7NLt/z\nfULGVjnvRRYM/M37TC+PyzlVMb/ayb7A60OeX5apkM5YI/F+QtPO4TZkstBxI9s6B1/4mZwmZJM4\npBCxC3nxmQxmlvS8zN55N8bv/jfA7j0x4srwbgW3S+T/fpdO4Yyel0N7h8aHPt5B9ZnxC8tx3XY9\n9tXLR91P07f+Cy04+YqTDoZj3UqcN1+X9H7jtY20Pv77IRU2nP6pm2n43RZ0RaXoG+/Du/sUjkVF\n1HzvL+ja6B4xaR+6Lyl5O5FjJ+l44tlR93M+M256mJrXE0XE3CULcBXOo/3oTjKuvJa6rX8CQcCc\nkoNkMuM7U467ZAH2aSV4Tu0nff4qarf8EU2JY0nPI2vJ9dS89mR338V3PUrXib1osTDeqqMYbE4y\nF69DNJhpePs5ZKuDzMXX03ViL1lLbqBh+wtDMlzcy1YRbWkkfKaKjHXraduSSNLPuechmv7S8/wx\nON2YsnKINNahBAOAgDl3GrLDSaSxHsXvxZiajmP+Ijr+9gam9CyUYKDPTq/zptU4ru+tqDYSOn7/\n51HV5BkrSlZmULHr4jL75rIS0j56f9LGbHvst8TqegshGPOyMJfNwDS7EPOsGajBEFqwn8VhTEHp\n6CKw4yCRk2OfnD49byX1jbvR9eFtZDnWrcI5SnXEyPFTdPy+t3CFIIkIkogW63lHCUYZPXbxd5Zg\nlBPhpuc9zkSTIdGPruO+Zg5aJIb/YHUvwwcSIiHARQv4JhvJasNWXIp76dUY3KlU/te3B71GtJjJ\n+c6XRj120zd+jBbuuff+8GQqDrtAS5uGxSzw8COdo+p/w08Hfp68+E9Dl78fCikP3ol14bxR9eF/\n7S18W3YM6xr7giKyPpB4rwty4p49/dn/GfEcTDmp5D56G9X/+r/9npfsZqb9052c+ffBN8pGSkPD\nICqrQ+Ty8LioiV2uNDkXAaE7VCuk+YhoAVxSBkbBgkfrebmcC8u60GixiI4hK3wNlZbo4C8Hb7yd\nnZ6hLaqivihRzu6ond3I0dShLQ4f/Eg7P/lBSne+y/KlRpYvTSUQ1DlyLE5FpUJ9o4Lfp+EP6qiK\njmwQMJsFLGaBjDSJ/OkSRYUyc8oMiOc5p2pqVR79QieKClfON+JwCMgXz1Xtw1vbL928mInAeeNq\nHDeMflHYB03D85dXhlX1PrEQ0Gl++m2CJxsx56UhyNKgC4LBCOzamxTDxTxnFsa87EHr0YwGb/VR\ngk3V2HOLka0uop427HnFdJbv6W4TqD1JoLEKa3YBppQswm31hNsb0NXeixo1EqSzfHf39/bppUgG\nM6LJijk1F1NKBt6KQwQaKrDnDc8rZc7OQzSYGGjfyuByk7pqHb4j+8m4cQMtrzyHrqoY0zJQAgGy\nb38f9U+frbSs61jyC7EVl9L+Vt8NHT2enNj+/rwHk4HBjBYA+zVXjfk8Yg0txBpaYMtu8n7weQJb\n38W3eeQy18kiPb2MuobhV25PRk6a5Oibq6qrWh9vzlCeUf21Ob9OlR5X0RW1j9EC42uwiAYj1qKZ\n2GfOwVJYgmgwjnrzaLT86tdB5syR+eWvgnzusw5EkVGFqpdv6oleEUSwppmZdcN0Dj87sTK9ySRw\nsIrAwYTwUvaHbyDakATv6EXe52ogMqZGSzKZnG+CYXIubyXNkEtMjxA4rxBlZ7yJVEMOkiATPS+/\nJaL33VmXBSOzLEvHfsL9kAhjG9qi3ZpuYfW/rsBgkwm1hzGYZV79/LZBr/vQB2w88D4b0/P6WhN2\nm8CKZUZWLBt5WEfBdIlNz41cEhpgzuLkVEx/L+Bavw77mhVj0ndg+x5ijUNf4Pv2VZL/mVvp2n4c\nLRonY/3iPruaIyVaUYPS1oE8SmlkBAH33bcO2Ys0EnT1/J9XAHQ8lUeYtvY+qjclxB0EY2LTQJSN\naMrAi/oLldw0JYa3+iieykQSvMGRgign/l4FeZibLaKIIAqIhv7/3m1FpYgmM/aZs5EsVkyZuYTr\na0DVMGXnJvJWhLPqShlZGNMyaHrh6f5/jiTcAwCibfLkhwwHY142plmF4zpmvH7iqlpfSDweRhIN\nqNrwDFg9MvpNLGkcC3563xlbWemLIUgy1sKZOErnYimahWhIPA+izQ0Eyo/gPzm4NP9YkpEu0tio\n8uD9VkpLJWRZIBYb+TP41Bu1fY5VbWtg3deXUr6pZhQznZyYslNofuLN7u/tVxSSftdKBFEg2txF\ny5NvooaipN+5AtluwTJ7Gl1vHsS1vAw1FKX+pwnFWySRnI/fjOy00virV1H9iagd18rZuK6dhyHT\nTeUXft1rbEtxDhn3rUI0GdHCUZqfeJNYa2KN7VhUTNrtyxGMEk2/eYNI9fiEKl8WhktEC6KjYxEd\ntMR655F0qE3kmmYm2p1nrHTE64iZ57PQtg6/2oVBMJNiyCai+vEqrbjk5FR6Hgsy56Zx+OnjpM1K\n4fBT5Sz66HwEURh0V+UrXxhbBZkpKcLxQTSZcN93K5YrB6/fMxLUtg58b/xtWNd495wm2uzBMT8f\n0WQgcqaN9leHpkY2KLpOcNc+XBtuHHVXhvxc7FcvJbBjz+CNL4JkNJE+bxUGRyrp868eMMfF6HDj\nLrmCqKcnNtuRNxOTMx3ZYifa1YLB5iK1dAlGVzpZi9bRWb6HeLhvIrqv+ii5qzZgzZ5B0zub8Nce\nZ9q192JOzcLkGDzP7XwijXWEz1QhGvuve6DFYgROHMV/vEcpzDl3IaLJSNff38KSl9/j7Q2FUEIB\nbEWzCFb1DeXSwskR6ZDdl17VeQDXHTeM+5iBnQfQQsPPIRgL2juOM7vsXjo6T6HrPUZsc8vFiy0r\nPt+oxxbtViSnHdV3cVGeSxVBFLEUFJG1/l7Esxsi8a4OPCeOECg/PGlUxja9GiEe17n9Ngu//m1o\nVEbLQPiaQzhzbYM3vMSQLCaafvdG92ab7LSS9fA6zvzbH1E8QVJuXETG+6+l+febAVCCEZp/t5nc\nT99G1T//hhnffgjJlrg3TNkpNP7sJZwryki/Yzkt/5fY8PbuKid4vJaCbzzYa2zBKJP10HXU/eg5\n1FAU59JZZH5gLfU/SSjmpt66lOYn3yTW1DmuXsXLwnDR0YhqQcyinS61t8XnUVrQ0BARu4tVQiJE\n7GBwKwts1+GQ04hpYZpjVZyJHiXfOHtMDBeXnIFFcmAQBlbZqYsMXugv2BrGVeAk0ByibEMJKcU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XhyZzvVe7vIv8JNZrGdoiWp7H2hgfpjXjJm2Jh+hRtN1ajc3UH52z1lCtQ45MxyYrLKiFLC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\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c1cVqymVPw7M4vcnLwClEX3RjvaSCYTd1Hdto7NpFYcYiGrt2jdm2Tivw7W8Ml9B0exS+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aDLze673GeFk75/aix5960nuFk/8vF6+vy8HhGA8KF+kt6qKuHD1egyXBjGjEbQaJJiXaIdncQ6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\nfJBaWSVY255ynHI42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DrtcqzHIZNlyqBlDA1c16N2bohPfOPC0btTg8Xz2fyzHu766yXs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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2932dac56a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_corpus('Doom/Death Metal')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To nobody's surprise, the common themes of metal genre seem to be Death, Gore, and Violence. And yet, metalheads seem to be some of the friendliest people. Maybe it's cathartic?"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}